Date: 2022-03-31T04:48:52+00:00

Actual source code: ex9busoptfd.c

      1: static char help[] = "Using finite difference for the problem in ex9busopt.c \n\n";

      3: /*
      4:   Use finite difference approximations to solve the same optimization problem as in ex9busopt.c.
      5:  */

      7: #include <petsctao.h>
      8: #include <petscts.h>
      9: #include <petscdm.h>
     10: #include <petscdmda.h>
     11: #include <petscdmcomposite.h>

     13: PetscErrorCode FormFunction(Tao,Vec,PetscReal*,void*);

     15: #define freq 60
     16: #define w_s (2*PETSC_PI*freq)

     18: /* Sizes and indices */
     19: const PetscInt nbus    = 9; /* Number of network buses */
     20: const PetscInt ngen    = 3; /* Number of generators */
     21: const PetscInt nload   = 3; /* Number of loads */
     22: const PetscInt gbus[3] = {0,1,2}; /* Buses at which generators are incident */
     23: const PetscInt lbus[3] = {4,5,7}; /* Buses at which loads are incident */

     25: /* Generator real and reactive powers (found via loadflow) */
     26: PetscScalar PG[3] = { 0.69,1.59,0.69};
     27: /* PetscScalar PG[3] = {0.716786142395021,1.630000000000000,0.850000000000000};*/
     28: const PetscScalar QG[3] = {0.270702180178785,0.066120127797275,-0.108402221791588};
     29: /* Generator constants */
     30: const PetscScalar H[3]    = {23.64,6.4,3.01};   /* Inertia constant */
     31: const PetscScalar Rs[3]   = {0.0,0.0,0.0}; /* Stator Resistance */
     32: const PetscScalar Xd[3]   = {0.146,0.8958,1.3125};  /* d-axis reactance */
     33: const PetscScalar Xdp[3]  = {0.0608,0.1198,0.1813}; /* d-axis transient reactance */
     34: const PetscScalar Xq[3]   = {0.4360,0.8645,1.2578}; /* q-axis reactance Xq(1) set to 0.4360, value given in text 0.0969 */
     35: const PetscScalar Xqp[3]  = {0.0969,0.1969,0.25}; /* q-axis transient reactance */
     36: const PetscScalar Td0p[3] = {8.96,6.0,5.89}; /* d-axis open circuit time constant */
     37: const PetscScalar Tq0p[3] = {0.31,0.535,0.6}; /* q-axis open circuit time constant */
     38: PetscScalar M[3]; /* M = 2*H/w_s */
     39: PetscScalar D[3]; /* D = 0.1*M */

     41: PetscScalar TM[3]; /* Mechanical Torque */
     42: /* Exciter system constants */
     43: const PetscScalar KA[3] = {20.0,20.0,20.0};  /* Voltage regulartor gain constant */
     44: const PetscScalar TA[3] = {0.2,0.2,0.2};     /* Voltage regulator time constant */
     45: const PetscScalar KE[3] = {1.0,1.0,1.0};     /* Exciter gain constant */
     46: const PetscScalar TE[3] = {0.314,0.314,0.314}; /* Exciter time constant */
     47: const PetscScalar KF[3] = {0.063,0.063,0.063};  /* Feedback stabilizer gain constant */
     48: const PetscScalar TF[3] = {0.35,0.35,0.35};    /* Feedback stabilizer time constant */
     49: const PetscScalar k1[3] = {0.0039,0.0039,0.0039};
     50: const PetscScalar k2[3] = {1.555,1.555,1.555};  /* k1 and k2 for calculating the saturation function SE = k1*exp(k2*Efd) */

     52: PetscScalar Vref[3];
     53: /* Load constants
     54:   We use a composite load model that describes the load and reactive powers at each time instant as follows
     55:   P(t) = \sum\limits_{i=0}^ld_nsegsp \ld_alphap_i*P_D0(\frac{V_m(t)}{V_m0})^\ld_betap_i
     56:   Q(t) = \sum\limits_{i=0}^ld_nsegsq \ld_alphaq_i*Q_D0(\frac{V_m(t)}{V_m0})^\ld_betaq_i
     57:   where
     58:     ld_nsegsp,ld_nsegsq - Number of individual load models for real and reactive power loads
     59:     ld_alphap,ld_alphap - Percentage contribution (weights) or loads
     60:     P_D0                - Real power load
     61:     Q_D0                - Reactive power load
     62:     V_m(t)              - Voltage magnitude at time t
     63:     V_m0                - Voltage magnitude at t = 0
     64:     ld_betap, ld_betaq  - exponents describing the load model for real and reactive part

     66:     Note: All loads have the same characteristic currently.
     67: */
     68: const PetscScalar PD0[3] = {1.25,0.9,1.0};
     69: const PetscScalar QD0[3] = {0.5,0.3,0.35};
     70: const PetscInt    ld_nsegsp[3] = {3,3,3};
     71: const PetscScalar ld_alphap[3] = {1.0,0.0,0.0};
     72: const PetscScalar ld_betap[3]  = {2.0,1.0,0.0};
     73: const PetscInt    ld_nsegsq[3] = {3,3,3};
     74: const PetscScalar ld_alphaq[3] = {1.0,0.0,0.0};
     75: const PetscScalar ld_betaq[3]  = {2.0,1.0,0.0};

     77: typedef struct {
     78:   DM          dmgen, dmnet; /* DMs to manage generator and network subsystem */
     79:   DM          dmpgrid; /* Composite DM to manage the entire power grid */
     80:   Mat         Ybus; /* Network admittance matrix */
     81:   Vec         V0;  /* Initial voltage vector (Power flow solution) */
     82:   PetscReal   tfaulton,tfaultoff; /* Fault on and off times */
     83:   PetscInt    faultbus; /* Fault bus */
     84:   PetscScalar Rfault;
     85:   PetscReal   t0,tmax;
     86:   PetscInt    neqs_gen,neqs_net,neqs_pgrid;
     87:   Mat         Sol; /* Matrix to save solution at each time step */
     88:   PetscInt    stepnum;
     89:   PetscBool   alg_flg;
     90:   PetscReal   t;
     91:   IS          is_diff; /* indices for differential equations */
     92:   IS          is_alg; /* indices for algebraic equations */
     93:   PetscReal   freq_u,freq_l; /* upper and lower frequency limit */
     94:   PetscInt    pow; /* power coefficient used in the cost function */
     95:   Vec         vec_q;
     96: } Userctx;

     98: /* Converts from machine frame (dq) to network (phase a real,imag) reference frame */
     99: PetscErrorCode dq2ri(PetscScalar Fd,PetscScalar Fq,PetscScalar delta,PetscScalar *Fr, PetscScalar *Fi)
    100: {
    101:   *Fr =  Fd*PetscSinScalar(delta) + Fq*PetscCosScalar(delta);
    102:   *Fi = -Fd*PetscCosScalar(delta) + Fq*PetscSinScalar(delta);
    103:   return 0;
    104: }

    106: /* Converts from network frame ([phase a real,imag) to machine (dq) reference frame */
    107: PetscErrorCode ri2dq(PetscScalar Fr,PetscScalar Fi,PetscScalar delta,PetscScalar *Fd, PetscScalar *Fq)
    108: {
    109:   *Fd =  Fr*PetscSinScalar(delta) - Fi*PetscCosScalar(delta);
    110:   *Fq =  Fr*PetscCosScalar(delta) + Fi*PetscSinScalar(delta);
    111:   return 0;
    112: }

    114: PetscErrorCode SetInitialGuess(Vec X,Userctx *user)
    115: {
    116:   Vec            Xgen,Xnet;
    117:   PetscScalar    *xgen,*xnet;
    118:   PetscInt       i,idx=0;
    119:   PetscScalar    Vr,Vi,IGr,IGi,Vm,Vm2;
    120:   PetscScalar    Eqp,Edp,delta;
    121:   PetscScalar    Efd,RF,VR; /* Exciter variables */
    122:   PetscScalar    Id,Iq;  /* Generator dq axis currents */
    123:   PetscScalar    theta,Vd,Vq,SE;

    125:   M[0] = 2*H[0]/w_s; M[1] = 2*H[1]/w_s; M[2] = 2*H[2]/w_s;
    126:   D[0] = 0.1*M[0]; D[1] = 0.1*M[1]; D[2] = 0.1*M[2];

    128:   DMCompositeGetLocalVectors(user->dmpgrid,&Xgen,&Xnet);

    130:   /* Network subsystem initialization */
    131:   VecCopy(user->V0,Xnet);

    133:   /* Generator subsystem initialization */
    134:   VecGetArray(Xgen,&xgen);
    135:   VecGetArray(Xnet,&xnet);

    137:   for (i=0; i < ngen; i++) {
    138:     Vr  = xnet[2*gbus[i]]; /* Real part of generator terminal voltage */
    139:     Vi  = xnet[2*gbus[i]+1]; /* Imaginary part of the generator terminal voltage */
    140:     Vm  = PetscSqrtScalar(Vr*Vr + Vi*Vi); Vm2 = Vm*Vm;
    141:     IGr = (Vr*PG[i] + Vi*QG[i])/Vm2;
    142:     IGi = (Vi*PG[i] - Vr*QG[i])/Vm2;

    144:     delta = PetscAtan2Real(Vi+Xq[i]*IGr,Vr-Xq[i]*IGi); /* Machine angle */

    146:     theta = PETSC_PI/2.0 - delta;

    148:     Id = IGr*PetscCosScalar(theta) - IGi*PetscSinScalar(theta); /* d-axis stator current */
    149:     Iq = IGr*PetscSinScalar(theta) + IGi*PetscCosScalar(theta); /* q-axis stator current */

    151:     Vd = Vr*PetscCosScalar(theta) - Vi*PetscSinScalar(theta);
    152:     Vq = Vr*PetscSinScalar(theta) + Vi*PetscCosScalar(theta);

    154:     Edp = Vd + Rs[i]*Id - Xqp[i]*Iq; /* d-axis transient EMF */
    155:     Eqp = Vq + Rs[i]*Iq + Xdp[i]*Id; /* q-axis transient EMF */

    157:     TM[i] = PG[i];

    159:     /* The generator variables are ordered as [Eqp,Edp,delta,w,Id,Iq] */
    160:     xgen[idx]   = Eqp;
    161:     xgen[idx+1] = Edp;
    162:     xgen[idx+2] = delta;
    163:     xgen[idx+3] = w_s;

    165:     idx = idx + 4;

    167:     xgen[idx]   = Id;
    168:     xgen[idx+1] = Iq;

    170:     idx = idx + 2;

    172:     /* Exciter */
    173:     Efd = Eqp + (Xd[i] - Xdp[i])*Id;
    174:     SE  = k1[i]*PetscExpScalar(k2[i]*Efd);
    175:     VR  =  KE[i]*Efd + SE;
    176:     RF  =  KF[i]*Efd/TF[i];

    178:     xgen[idx]   = Efd;
    179:     xgen[idx+1] = RF;
    180:     xgen[idx+2] = VR;

    182:     Vref[i] = Vm + (VR/KA[i]);

    184:     idx = idx + 3;
    185:   }

    187:   VecRestoreArray(Xgen,&xgen);
    188:   VecRestoreArray(Xnet,&xnet);

    190:   /* VecView(Xgen,0); */
    191:   DMCompositeGather(user->dmpgrid,INSERT_VALUES,X,Xgen,Xnet);
    192:   DMCompositeRestoreLocalVectors(user->dmpgrid,&Xgen,&Xnet);
    193:   return 0;
    194: }

    196: /* Computes F = [-f(x,y);g(x,y)] */
    197: PetscErrorCode ResidualFunction(SNES snes,Vec X, Vec F, Userctx *user)
    198: {
    199:   Vec            Xgen,Xnet,Fgen,Fnet;
    200:   PetscScalar    *xgen,*xnet,*fgen,*fnet;
    201:   PetscInt       i,idx=0;
    202:   PetscScalar    Vr,Vi,Vm,Vm2;
    203:   PetscScalar    Eqp,Edp,delta,w; /* Generator variables */
    204:   PetscScalar    Efd,RF,VR; /* Exciter variables */
    205:   PetscScalar    Id,Iq;  /* Generator dq axis currents */
    206:   PetscScalar    Vd,Vq,SE;
    207:   PetscScalar    IGr,IGi,IDr,IDi;
    208:   PetscScalar    Zdq_inv[4],det;
    209:   PetscScalar    PD,QD,Vm0,*v0;
    210:   PetscInt       k;

    212:   VecZeroEntries(F);
    213:   DMCompositeGetLocalVectors(user->dmpgrid,&Xgen,&Xnet);
    214:   DMCompositeGetLocalVectors(user->dmpgrid,&Fgen,&Fnet);
    215:   DMCompositeScatter(user->dmpgrid,X,Xgen,Xnet);
    216:   DMCompositeScatter(user->dmpgrid,F,Fgen,Fnet);

    218:   /* Network current balance residual IG + Y*V + IL = 0. Only YV is added here.
    219:      The generator current injection, IG, and load current injection, ID are added later
    220:   */
    221:   /* Note that the values in Ybus are stored assuming the imaginary current balance
    222:      equation is ordered first followed by real current balance equation for each bus.
    223:      Thus imaginary current contribution goes in location 2*i, and
    224:      real current contribution in 2*i+1
    225:   */
    226:   MatMult(user->Ybus,Xnet,Fnet);

    228:   VecGetArray(Xgen,&xgen);
    229:   VecGetArray(Xnet,&xnet);
    230:   VecGetArray(Fgen,&fgen);
    231:   VecGetArray(Fnet,&fnet);

    233:   /* Generator subsystem */
    234:   for (i=0; i < ngen; i++) {
    235:     Eqp   = xgen[idx];
    236:     Edp   = xgen[idx+1];
    237:     delta = xgen[idx+2];
    238:     w     = xgen[idx+3];
    239:     Id    = xgen[idx+4];
    240:     Iq    = xgen[idx+5];
    241:     Efd   = xgen[idx+6];
    242:     RF    = xgen[idx+7];
    243:     VR    = xgen[idx+8];

    245:     /* Generator differential equations */
    246:     fgen[idx]   = (Eqp + (Xd[i] - Xdp[i])*Id - Efd)/Td0p[i];
    247:     fgen[idx+1] = (Edp - (Xq[i] - Xqp[i])*Iq)/Tq0p[i];
    248:     fgen[idx+2] = -w + w_s;
    249:     fgen[idx+3] = (-TM[i] + Edp*Id + Eqp*Iq + (Xqp[i] - Xdp[i])*Id*Iq + D[i]*(w - w_s))/M[i];

    251:     Vr = xnet[2*gbus[i]]; /* Real part of generator terminal voltage */
    252:     Vi = xnet[2*gbus[i]+1]; /* Imaginary part of the generator terminal voltage */

    254:     ri2dq(Vr,Vi,delta,&Vd,&Vq);
    255:     /* Algebraic equations for stator currents */
    256:     det = Rs[i]*Rs[i] + Xdp[i]*Xqp[i];

    258:     Zdq_inv[0] = Rs[i]/det;
    259:     Zdq_inv[1] = Xqp[i]/det;
    260:     Zdq_inv[2] = -Xdp[i]/det;
    261:     Zdq_inv[3] = Rs[i]/det;

    263:     fgen[idx+4] = Zdq_inv[0]*(-Edp + Vd) + Zdq_inv[1]*(-Eqp + Vq) + Id;
    264:     fgen[idx+5] = Zdq_inv[2]*(-Edp + Vd) + Zdq_inv[3]*(-Eqp + Vq) + Iq;

    266:     /* Add generator current injection to network */
    267:     dq2ri(Id,Iq,delta,&IGr,&IGi);

    269:     fnet[2*gbus[i]]   -= IGi;
    270:     fnet[2*gbus[i]+1] -= IGr;

    272:     Vm = PetscSqrtScalar(Vd*Vd + Vq*Vq);

    274:     SE = k1[i]*PetscExpScalar(k2[i]*Efd);

    276:     /* Exciter differential equations */
    277:     fgen[idx+6] = (KE[i]*Efd + SE - VR)/TE[i];
    278:     fgen[idx+7] = (RF - KF[i]*Efd/TF[i])/TF[i];
    279:     fgen[idx+8] = (VR - KA[i]*RF + KA[i]*KF[i]*Efd/TF[i] - KA[i]*(Vref[i] - Vm))/TA[i];

    281:     idx = idx + 9;
    282:   }

    284:   VecGetArray(user->V0,&v0);
    285:   for (i=0; i < nload; i++) {
    286:     Vr  = xnet[2*lbus[i]]; /* Real part of load bus voltage */
    287:     Vi  = xnet[2*lbus[i]+1]; /* Imaginary part of the load bus voltage */
    288:     Vm  = PetscSqrtScalar(Vr*Vr + Vi*Vi); Vm2 = Vm*Vm;
    289:     Vm0 = PetscSqrtScalar(v0[2*lbus[i]]*v0[2*lbus[i]] + v0[2*lbus[i]+1]*v0[2*lbus[i]+1]);
    290:     PD  = QD = 0.0;
    291:     for (k=0; k < ld_nsegsp[i]; k++) PD += ld_alphap[k]*PD0[i]*PetscPowScalar((Vm/Vm0),ld_betap[k]);
    292:     for (k=0; k < ld_nsegsq[i]; k++) QD += ld_alphaq[k]*QD0[i]*PetscPowScalar((Vm/Vm0),ld_betaq[k]);

    294:     /* Load currents */
    295:     IDr = (PD*Vr + QD*Vi)/Vm2;
    296:     IDi = (-QD*Vr + PD*Vi)/Vm2;

    298:     fnet[2*lbus[i]]   += IDi;
    299:     fnet[2*lbus[i]+1] += IDr;
    300:   }
    301:   VecRestoreArray(user->V0,&v0);

    303:   VecRestoreArray(Xgen,&xgen);
    304:   VecRestoreArray(Xnet,&xnet);
    305:   VecRestoreArray(Fgen,&fgen);
    306:   VecRestoreArray(Fnet,&fnet);

    308:   DMCompositeGather(user->dmpgrid,INSERT_VALUES,F,Fgen,Fnet);
    309:   DMCompositeRestoreLocalVectors(user->dmpgrid,&Xgen,&Xnet);
    310:   DMCompositeRestoreLocalVectors(user->dmpgrid,&Fgen,&Fnet);
    311:   return 0;
    312: }

    314: /* \dot{x} - f(x,y)
    315:      g(x,y) = 0
    316:  */
    317: PetscErrorCode IFunction(TS ts,PetscReal t, Vec X, Vec Xdot, Vec F, Userctx *user)
    318: {
    319:   SNES              snes;
    320:   PetscScalar       *f;
    321:   const PetscScalar *xdot;
    322:   PetscInt          i;

    324:   user->t = t;

    326:   TSGetSNES(ts,&snes);
    327:   ResidualFunction(snes,X,F,user);
    328:   VecGetArray(F,&f);
    329:   VecGetArrayRead(Xdot,&xdot);
    330:   for (i=0;i < ngen;i++) {
    331:     f[9*i]   += xdot[9*i];
    332:     f[9*i+1] += xdot[9*i+1];
    333:     f[9*i+2] += xdot[9*i+2];
    334:     f[9*i+3] += xdot[9*i+3];
    335:     f[9*i+6] += xdot[9*i+6];
    336:     f[9*i+7] += xdot[9*i+7];
    337:     f[9*i+8] += xdot[9*i+8];
    338:   }
    339:   VecRestoreArray(F,&f);
    340:   VecRestoreArrayRead(Xdot,&xdot);
    341:   return 0;
    342: }

    344: /* This function is used for solving the algebraic system only during fault on and
    345:    off times. It computes the entire F and then zeros out the part corresponding to
    346:    differential equations
    347:  F = [0;g(y)];
    348: */
    349: PetscErrorCode AlgFunction(SNES snes, Vec X, Vec F, void *ctx)
    350: {
    351:   Userctx        *user=(Userctx*)ctx;
    352:   PetscScalar    *f;
    353:   PetscInt       i;

    355:   ResidualFunction(snes,X,F,user);
    356:   VecGetArray(F,&f);
    357:   for (i=0; i < ngen; i++) {
    358:     f[9*i]   = 0;
    359:     f[9*i+1] = 0;
    360:     f[9*i+2] = 0;
    361:     f[9*i+3] = 0;
    362:     f[9*i+6] = 0;
    363:     f[9*i+7] = 0;
    364:     f[9*i+8] = 0;
    365:   }
    366:   VecRestoreArray(F,&f);
    367:   return 0;
    368: }

    370: PetscErrorCode PreallocateJacobian(Mat J, Userctx *user)
    371: {
    372:   PetscInt       *d_nnz;
    373:   PetscInt       i,idx=0,start=0;
    374:   PetscInt       ncols;

    376:   PetscMalloc1(user->neqs_pgrid,&d_nnz);
    377:   for (i=0; i<user->neqs_pgrid; i++) d_nnz[i] = 0;
    378:   /* Generator subsystem */
    379:   for (i=0; i < ngen; i++) {

    381:     d_nnz[idx]   += 3;
    382:     d_nnz[idx+1] += 2;
    383:     d_nnz[idx+2] += 2;
    384:     d_nnz[idx+3] += 5;
    385:     d_nnz[idx+4] += 6;
    386:     d_nnz[idx+5] += 6;

    388:     d_nnz[user->neqs_gen+2*gbus[i]]   += 3;
    389:     d_nnz[user->neqs_gen+2*gbus[i]+1] += 3;

    391:     d_nnz[idx+6] += 2;
    392:     d_nnz[idx+7] += 2;
    393:     d_nnz[idx+8] += 5;

    395:     idx = idx + 9;
    396:   }

    398:   start = user->neqs_gen;

    400:   for (i=0; i < nbus; i++) {
    401:     MatGetRow(user->Ybus,2*i,&ncols,NULL,NULL);
    402:     d_nnz[start+2*i]   += ncols;
    403:     d_nnz[start+2*i+1] += ncols;
    404:     MatRestoreRow(user->Ybus,2*i,&ncols,NULL,NULL);
    405:   }

    407:   MatSeqAIJSetPreallocation(J,0,d_nnz);

    409:   PetscFree(d_nnz);
    410:   return 0;
    411: }

    413: /*
    414:    J = [-df_dx, -df_dy
    415:         dg_dx, dg_dy]
    416: */
    417: PetscErrorCode ResidualJacobian(SNES snes,Vec X,Mat J,Mat B,void *ctx)
    418: {
    419:   Userctx           *user=(Userctx*)ctx;
    420:   Vec               Xgen,Xnet;
    421:   PetscScalar       *xgen,*xnet;
    422:   PetscInt          i,idx=0;
    423:   PetscScalar       Vr,Vi,Vm,Vm2;
    424:   PetscScalar       Eqp,Edp,delta; /* Generator variables */
    425:   PetscScalar       Efd; /* Exciter variables */
    426:   PetscScalar       Id,Iq;  /* Generator dq axis currents */
    427:   PetscScalar       Vd,Vq;
    428:   PetscScalar       val[10];
    429:   PetscInt          row[2],col[10];
    430:   PetscInt          net_start=user->neqs_gen;
    431:   PetscScalar       Zdq_inv[4],det;
    432:   PetscScalar       dVd_dVr,dVd_dVi,dVq_dVr,dVq_dVi,dVd_ddelta,dVq_ddelta;
    433:   PetscScalar       dIGr_ddelta,dIGi_ddelta,dIGr_dId,dIGr_dIq,dIGi_dId,dIGi_dIq;
    434:   PetscScalar       dSE_dEfd;
    435:   PetscScalar       dVm_dVd,dVm_dVq,dVm_dVr,dVm_dVi;
    436:   PetscInt          ncols;
    437:   const PetscInt    *cols;
    438:   const PetscScalar *yvals;
    439:   PetscInt          k;
    440:   PetscScalar       PD,QD,Vm0,*v0,Vm4;
    441:   PetscScalar       dPD_dVr,dPD_dVi,dQD_dVr,dQD_dVi;
    442:   PetscScalar       dIDr_dVr,dIDr_dVi,dIDi_dVr,dIDi_dVi;

    444:   MatZeroEntries(B);
    445:   DMCompositeGetLocalVectors(user->dmpgrid,&Xgen,&Xnet);
    446:   DMCompositeScatter(user->dmpgrid,X,Xgen,Xnet);

    448:   VecGetArray(Xgen,&xgen);
    449:   VecGetArray(Xnet,&xnet);

    451:   /* Generator subsystem */
    452:   for (i=0; i < ngen; i++) {
    453:     Eqp   = xgen[idx];
    454:     Edp   = xgen[idx+1];
    455:     delta = xgen[idx+2];
    456:     Id    = xgen[idx+4];
    457:     Iq    = xgen[idx+5];
    458:     Efd   = xgen[idx+6];

    460:     /*    fgen[idx]   = (Eqp + (Xd[i] - Xdp[i])*Id - Efd)/Td0p[i]; */
    461:     row[0] = idx;
    462:     col[0] = idx;           col[1] = idx+4;          col[2] = idx+6;
    463:     val[0] = 1/ Td0p[i]; val[1] = (Xd[i] - Xdp[i])/ Td0p[i]; val[2] = -1/Td0p[i];

    465:     MatSetValues(J,1,row,3,col,val,INSERT_VALUES);

    467:     /*    fgen[idx+1] = (Edp - (Xq[i] - Xqp[i])*Iq)/Tq0p[i]; */
    468:     row[0] = idx + 1;
    469:     col[0] = idx + 1;       col[1] = idx+5;
    470:     val[0] = 1/Tq0p[i]; val[1] = -(Xq[i] - Xqp[i])/Tq0p[i];
    471:     MatSetValues(J,1,row,2,col,val,INSERT_VALUES);

    473:     /*    fgen[idx+2] = - w + w_s; */
    474:     row[0] = idx + 2;
    475:     col[0] = idx + 2; col[1] = idx + 3;
    476:     val[0] = 0;       val[1] = -1;
    477:     MatSetValues(J,1,row,2,col,val,INSERT_VALUES);

    479:     /*    fgen[idx+3] = (-TM[i] + Edp*Id + Eqp*Iq + (Xqp[i] - Xdp[i])*Id*Iq + D[i]*(w - w_s))/M[i]; */
    480:     row[0] = idx + 3;
    481:     col[0] = idx; col[1] = idx + 1; col[2] = idx + 3;       col[3] = idx + 4;                  col[4] = idx + 5;
    482:     val[0] = Iq/M[i];  val[1] = Id/M[i];      val[2] = D[i]/M[i]; val[3] = (Edp + (Xqp[i]-Xdp[i])*Iq)/M[i]; val[4] = (Eqp + (Xqp[i] - Xdp[i])*Id)/M[i];
    483:     MatSetValues(J,1,row,5,col,val,INSERT_VALUES);

    485:     Vr   = xnet[2*gbus[i]]; /* Real part of generator terminal voltage */
    486:     Vi   = xnet[2*gbus[i]+1]; /* Imaginary part of the generator terminal voltage */
    487:     ri2dq(Vr,Vi,delta,&Vd,&Vq);

    489:     det = Rs[i]*Rs[i] + Xdp[i]*Xqp[i];

    491:     Zdq_inv[0] = Rs[i]/det;
    492:     Zdq_inv[1] = Xqp[i]/det;
    493:     Zdq_inv[2] = -Xdp[i]/det;
    494:     Zdq_inv[3] = Rs[i]/det;

    496:     dVd_dVr    = PetscSinScalar(delta); dVd_dVi = -PetscCosScalar(delta);
    497:     dVq_dVr    = PetscCosScalar(delta); dVq_dVi = PetscSinScalar(delta);
    498:     dVd_ddelta = Vr*PetscCosScalar(delta) + Vi*PetscSinScalar(delta);
    499:     dVq_ddelta = -Vr*PetscSinScalar(delta) + Vi*PetscCosScalar(delta);

    501:     /*    fgen[idx+4] = Zdq_inv[0]*(-Edp + Vd) + Zdq_inv[1]*(-Eqp + Vq) + Id; */
    502:     row[0] = idx+4;
    503:     col[0] = idx;         col[1] = idx+1;        col[2] = idx + 2;
    504:     val[0] = -Zdq_inv[1]; val[1] = -Zdq_inv[0];  val[2] = Zdq_inv[0]*dVd_ddelta + Zdq_inv[1]*dVq_ddelta;
    505:     col[3] = idx + 4; col[4] = net_start+2*gbus[i];                     col[5] = net_start + 2*gbus[i]+1;
    506:     val[3] = 1;       val[4] = Zdq_inv[0]*dVd_dVr + Zdq_inv[1]*dVq_dVr; val[5] = Zdq_inv[0]*dVd_dVi + Zdq_inv[1]*dVq_dVi;
    507:     MatSetValues(J,1,row,6,col,val,INSERT_VALUES);

    509:     /*  fgen[idx+5] = Zdq_inv[2]*(-Edp + Vd) + Zdq_inv[3]*(-Eqp + Vq) + Iq; */
    510:     row[0] = idx+5;
    511:     col[0] = idx;         col[1] = idx+1;        col[2] = idx + 2;
    512:     val[0] = -Zdq_inv[3]; val[1] = -Zdq_inv[2];  val[2] = Zdq_inv[2]*dVd_ddelta + Zdq_inv[3]*dVq_ddelta;
    513:     col[3] = idx + 5; col[4] = net_start+2*gbus[i];                     col[5] = net_start + 2*gbus[i]+1;
    514:     val[3] = 1;       val[4] = Zdq_inv[2]*dVd_dVr + Zdq_inv[3]*dVq_dVr; val[5] = Zdq_inv[2]*dVd_dVi + Zdq_inv[3]*dVq_dVi;
    515:     MatSetValues(J,1,row,6,col,val,INSERT_VALUES);

    517:     dIGr_ddelta = Id*PetscCosScalar(delta) - Iq*PetscSinScalar(delta);
    518:     dIGi_ddelta = Id*PetscSinScalar(delta) + Iq*PetscCosScalar(delta);
    519:     dIGr_dId    = PetscSinScalar(delta);  dIGr_dIq = PetscCosScalar(delta);
    520:     dIGi_dId    = -PetscCosScalar(delta); dIGi_dIq = PetscSinScalar(delta);

    522:     /* fnet[2*gbus[i]]   -= IGi; */
    523:     row[0] = net_start + 2*gbus[i];
    524:     col[0] = idx+2;        col[1] = idx + 4;   col[2] = idx + 5;
    525:     val[0] = -dIGi_ddelta; val[1] = -dIGi_dId; val[2] = -dIGi_dIq;
    526:     MatSetValues(J,1,row,3,col,val,INSERT_VALUES);

    528:     /* fnet[2*gbus[i]+1]   -= IGr; */
    529:     row[0] = net_start + 2*gbus[i]+1;
    530:     col[0] = idx+2;        col[1] = idx + 4;   col[2] = idx + 5;
    531:     val[0] = -dIGr_ddelta; val[1] = -dIGr_dId; val[2] = -dIGr_dIq;
    532:     MatSetValues(J,1,row,3,col,val,INSERT_VALUES);

    534:     Vm = PetscSqrtScalar(Vd*Vd + Vq*Vq);

    536:     /*    fgen[idx+6] = (KE[i]*Efd + SE - VR)/TE[i]; */
    537:     /*    SE  = k1[i]*PetscExpScalar(k2[i]*Efd); */

    539:     dSE_dEfd = k1[i]*k2[i]*PetscExpScalar(k2[i]*Efd);

    541:     row[0] = idx + 6;
    542:     col[0] = idx + 6;                     col[1] = idx + 8;
    543:     val[0] = (KE[i] + dSE_dEfd)/TE[i];  val[1] = -1/TE[i];
    544:     MatSetValues(J,1,row,2,col,val,INSERT_VALUES);

    546:     /* Exciter differential equations */

    548:     /*    fgen[idx+7] = (RF - KF[i]*Efd/TF[i])/TF[i]; */
    549:     row[0] = idx + 7;
    550:     col[0] = idx + 6;       col[1] = idx + 7;
    551:     val[0] = (-KF[i]/TF[i])/TF[i];  val[1] = 1/TF[i];
    552:     MatSetValues(J,1,row,2,col,val,INSERT_VALUES);

    554:     /*    fgen[idx+8] = (VR - KA[i]*RF + KA[i]*KF[i]*Efd/TF[i] - KA[i]*(Vref[i] - Vm))/TA[i]; */
    555:     /* Vm = (Vd^2 + Vq^2)^0.5; */
    556:     dVm_dVd    = Vd/Vm; dVm_dVq = Vq/Vm;
    557:     dVm_dVr    = dVm_dVd*dVd_dVr + dVm_dVq*dVq_dVr;
    558:     dVm_dVi    = dVm_dVd*dVd_dVi + dVm_dVq*dVq_dVi;
    559:     row[0]     = idx + 8;
    560:     col[0]     = idx + 6;           col[1] = idx + 7; col[2] = idx + 8;
    561:     val[0]     = (KA[i]*KF[i]/TF[i])/TA[i]; val[1] = -KA[i]/TA[i];  val[2] = 1/TA[i];
    562:     col[3]     = net_start + 2*gbus[i]; col[4] = net_start + 2*gbus[i]+1;
    563:     val[3]     = KA[i]*dVm_dVr/TA[i];         val[4] = KA[i]*dVm_dVi/TA[i];
    564:     MatSetValues(J,1,row,5,col,val,INSERT_VALUES);
    565:     idx        = idx + 9;
    566:   }

    568:   for (i=0; i<nbus; i++) {
    569:     MatGetRow(user->Ybus,2*i,&ncols,&cols,&yvals);
    570:     row[0] = net_start + 2*i;
    571:     for (k=0; k<ncols; k++) {
    572:       col[k] = net_start + cols[k];
    573:       val[k] = yvals[k];
    574:     }
    575:     MatSetValues(J,1,row,ncols,col,val,INSERT_VALUES);
    576:     MatRestoreRow(user->Ybus,2*i,&ncols,&cols,&yvals);

    578:     MatGetRow(user->Ybus,2*i+1,&ncols,&cols,&yvals);
    579:     row[0] = net_start + 2*i+1;
    580:     for (k=0; k<ncols; k++) {
    581:       col[k] = net_start + cols[k];
    582:       val[k] = yvals[k];
    583:     }
    584:     MatSetValues(J,1,row,ncols,col,val,INSERT_VALUES);
    585:     MatRestoreRow(user->Ybus,2*i+1,&ncols,&cols,&yvals);
    586:   }

    588:   MatAssemblyBegin(J,MAT_FLUSH_ASSEMBLY);
    589:   MatAssemblyEnd(J,MAT_FLUSH_ASSEMBLY);

    591:   VecGetArray(user->V0,&v0);
    592:   for (i=0; i < nload; i++) {
    593:     Vr      = xnet[2*lbus[i]]; /* Real part of load bus voltage */
    594:     Vi      = xnet[2*lbus[i]+1]; /* Imaginary part of the load bus voltage */
    595:     Vm      = PetscSqrtScalar(Vr*Vr + Vi*Vi); Vm2 = Vm*Vm; Vm4 = Vm2*Vm2;
    596:     Vm0     = PetscSqrtScalar(v0[2*lbus[i]]*v0[2*lbus[i]] + v0[2*lbus[i]+1]*v0[2*lbus[i]+1]);
    597:     PD      = QD = 0.0;
    598:     dPD_dVr = dPD_dVi = dQD_dVr = dQD_dVi = 0.0;
    599:     for (k=0; k < ld_nsegsp[i]; k++) {
    600:       PD      += ld_alphap[k]*PD0[i]*PetscPowScalar((Vm/Vm0),ld_betap[k]);
    601:       dPD_dVr += ld_alphap[k]*ld_betap[k]*PD0[i]*PetscPowScalar((1/Vm0),ld_betap[k])*Vr*PetscPowScalar(Vm,(ld_betap[k]-2));
    602:       dPD_dVi += ld_alphap[k]*ld_betap[k]*PD0[i]*PetscPowScalar((1/Vm0),ld_betap[k])*Vi*PetscPowScalar(Vm,(ld_betap[k]-2));
    603:     }
    604:     for (k=0; k < ld_nsegsq[i]; k++) {
    605:       QD      += ld_alphaq[k]*QD0[i]*PetscPowScalar((Vm/Vm0),ld_betaq[k]);
    606:       dQD_dVr += ld_alphaq[k]*ld_betaq[k]*QD0[i]*PetscPowScalar((1/Vm0),ld_betaq[k])*Vr*PetscPowScalar(Vm,(ld_betaq[k]-2));
    607:       dQD_dVi += ld_alphaq[k]*ld_betaq[k]*QD0[i]*PetscPowScalar((1/Vm0),ld_betaq[k])*Vi*PetscPowScalar(Vm,(ld_betaq[k]-2));
    608:     }

    610:     /*    IDr = (PD*Vr + QD*Vi)/Vm2; */
    611:     /*    IDi = (-QD*Vr + PD*Vi)/Vm2; */

    613:     dIDr_dVr = (dPD_dVr*Vr + dQD_dVr*Vi + PD)/Vm2 - ((PD*Vr + QD*Vi)*2*Vr)/Vm4;
    614:     dIDr_dVi = (dPD_dVi*Vr + dQD_dVi*Vi + QD)/Vm2 - ((PD*Vr + QD*Vi)*2*Vi)/Vm4;

    616:     dIDi_dVr = (-dQD_dVr*Vr + dPD_dVr*Vi - QD)/Vm2 - ((-QD*Vr + PD*Vi)*2*Vr)/Vm4;
    617:     dIDi_dVi = (-dQD_dVi*Vr + dPD_dVi*Vi + PD)/Vm2 - ((-QD*Vr + PD*Vi)*2*Vi)/Vm4;

    619:     /*    fnet[2*lbus[i]]   += IDi; */
    620:     row[0] = net_start + 2*lbus[i];
    621:     col[0] = net_start + 2*lbus[i];  col[1] = net_start + 2*lbus[i]+1;
    622:     val[0] = dIDi_dVr;               val[1] = dIDi_dVi;
    623:     MatSetValues(J,1,row,2,col,val,ADD_VALUES);
    624:     /*    fnet[2*lbus[i]+1] += IDr; */
    625:     row[0] = net_start + 2*lbus[i]+1;
    626:     col[0] = net_start + 2*lbus[i];  col[1] = net_start + 2*lbus[i]+1;
    627:     val[0] = dIDr_dVr;               val[1] = dIDr_dVi;
    628:     MatSetValues(J,1,row,2,col,val,ADD_VALUES);
    629:   }
    630:   VecRestoreArray(user->V0,&v0);

    632:   VecRestoreArray(Xgen,&xgen);
    633:   VecRestoreArray(Xnet,&xnet);

    635:   DMCompositeRestoreLocalVectors(user->dmpgrid,&Xgen,&Xnet);

    637:   MatAssemblyBegin(J,MAT_FINAL_ASSEMBLY);
    638:   MatAssemblyEnd(J,MAT_FINAL_ASSEMBLY);
    639:   return 0;
    640: }

    642: /*
    643:    J = [I, 0
    644:         dg_dx, dg_dy]
    645: */
    646: PetscErrorCode AlgJacobian(SNES snes,Vec X,Mat A,Mat B,void *ctx)
    647: {
    648:   Userctx        *user=(Userctx*)ctx;

    650:   ResidualJacobian(snes,X,A,B,ctx);
    651:   MatSetOption(A,MAT_KEEP_NONZERO_PATTERN,PETSC_TRUE);
    652:   MatZeroRowsIS(A,user->is_diff,1.0,NULL,NULL);
    653:   return 0;
    654: }

    656: /*
    657:    J = [a*I-df_dx, -df_dy
    658:         dg_dx, dg_dy]
    659: */

    661: PetscErrorCode IJacobian(TS ts,PetscReal t,Vec X,Vec Xdot,PetscReal a,Mat A,Mat B,Userctx *user)
    662: {
    663:   SNES           snes;
    664:   PetscScalar    atmp = (PetscScalar) a;
    665:   PetscInt       i,row;

    667:   user->t = t;

    669:   TSGetSNES(ts,&snes);
    670:   ResidualJacobian(snes,X,A,B,user);
    671:   for (i=0;i < ngen;i++) {
    672:     row = 9*i;
    673:     MatSetValues(A,1,&row,1,&row,&atmp,ADD_VALUES);
    674:     row  = 9*i+1;
    675:     MatSetValues(A,1,&row,1,&row,&atmp,ADD_VALUES);
    676:     row  = 9*i+2;
    677:     MatSetValues(A,1,&row,1,&row,&atmp,ADD_VALUES);
    678:     row  = 9*i+3;
    679:     MatSetValues(A,1,&row,1,&row,&atmp,ADD_VALUES);
    680:     row  = 9*i+6;
    681:     MatSetValues(A,1,&row,1,&row,&atmp,ADD_VALUES);
    682:     row  = 9*i+7;
    683:     MatSetValues(A,1,&row,1,&row,&atmp,ADD_VALUES);
    684:     row  = 9*i+8;
    685:     MatSetValues(A,1,&row,1,&row,&atmp,ADD_VALUES);
    686:   }
    687:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
    688:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
    689:   return 0;
    690: }

    692: static PetscErrorCode CostIntegrand(TS ts,PetscReal t,Vec U,Vec R,Userctx *user)
    693: {
    694:   PetscScalar       *r;
    695:   const PetscScalar *u;
    696:   PetscInt          idx;
    697:   Vec               Xgen,Xnet;
    698:   PetscScalar       *xgen;
    699:   PetscInt          i;

    701:   DMCompositeGetLocalVectors(user->dmpgrid,&Xgen,&Xnet);
    702:   DMCompositeScatter(user->dmpgrid,U,Xgen,Xnet);

    704:   VecGetArray(Xgen,&xgen);

    706:   VecGetArrayRead(U,&u);
    707:   VecGetArray(R,&r);
    708:   r[0] = 0.;

    710:   idx = 0;
    711:   for (i=0;i<ngen;i++) {
    712:     r[0] += PetscPowScalarInt(PetscMax(0.,PetscMax(xgen[idx+3]/(2.*PETSC_PI)-user->freq_u,user->freq_l-xgen[idx+3]/(2.*PETSC_PI))),user->pow);
    713:     idx  += 9;
    714:   }
    715:   VecRestoreArray(R,&r);
    716:   VecRestoreArrayRead(U,&u);
    717:   DMCompositeRestoreLocalVectors(user->dmpgrid,&Xgen,&Xnet);
    718:   return 0;
    719: }

    721: static PetscErrorCode MonitorUpdateQ(TS ts,PetscInt stepnum,PetscReal time,Vec X,void *ctx0)
    722: {
    723:   Vec            C,*Y;
    724:   PetscInt       Nr;
    725:   PetscReal      h,theta;
    726:   Userctx        *ctx=(Userctx*)ctx0;

    728:   theta = 0.5;
    729:   TSGetStages(ts,&Nr,&Y);
    730:   TSGetTimeStep(ts,&h);
    731:   VecDuplicate(ctx->vec_q,&C);
    732:   /* compute integrals */
    733:   if (stepnum>0) {
    734:     CostIntegrand(ts,time,X,C,ctx);
    735:     VecAXPY(ctx->vec_q,h*theta,C);
    736:     CostIntegrand(ts,time+h*theta,Y[0],C,ctx);
    737:     VecAXPY(ctx->vec_q,h*(1-theta),C);
    738:   }
    739:   VecDestroy(&C);
    740:   return 0;
    741: }

    743: int main(int argc,char **argv)
    744: {
    745:   Userctx            user;
    746:   Vec                p;
    747:   PetscScalar        *x_ptr;
    748:   PetscErrorCode     ierr;
    749:   PetscMPIInt        size;
    750:   PetscInt           i;
    751:   KSP                ksp;
    752:   PC                 pc;
    753:   PetscInt           *idx2;
    754:   Tao                tao;
    755:   Vec                lowerb,upperb;

    758:   PetscInitialize(&argc,&argv,"petscoptions",help);
    759:   MPI_Comm_size(PETSC_COMM_WORLD,&size);

    762:   VecCreateSeq(PETSC_COMM_WORLD,1,&user.vec_q);

    764:   user.neqs_gen   = 9*ngen; /* # eqs. for generator subsystem */
    765:   user.neqs_net   = 2*nbus; /* # eqs. for network subsystem   */
    766:   user.neqs_pgrid = user.neqs_gen + user.neqs_net;

    768:   /* Create indices for differential and algebraic equations */
    769:   PetscMalloc1(7*ngen,&idx2);
    770:   for (i=0; i<ngen; i++) {
    771:     idx2[7*i]   = 9*i;   idx2[7*i+1] = 9*i+1; idx2[7*i+2] = 9*i+2; idx2[7*i+3] = 9*i+3;
    772:     idx2[7*i+4] = 9*i+6; idx2[7*i+5] = 9*i+7; idx2[7*i+6] = 9*i+8;
    773:   }
    774:   ISCreateGeneral(PETSC_COMM_WORLD,7*ngen,idx2,PETSC_COPY_VALUES,&user.is_diff);
    775:   ISComplement(user.is_diff,0,user.neqs_pgrid,&user.is_alg);
    776:   PetscFree(idx2);

    778:   /* Set run time options */
    779:   PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Transient stability fault options","");
    780:   {
    781:     user.tfaulton  = 1.0;
    782:     user.tfaultoff = 1.2;
    783:     user.Rfault    = 0.0001;
    784:     user.faultbus  = 8;
    785:     PetscOptionsReal("-tfaulton","","",user.tfaulton,&user.tfaulton,NULL);
    786:     PetscOptionsReal("-tfaultoff","","",user.tfaultoff,&user.tfaultoff,NULL);
    787:     PetscOptionsInt("-faultbus","","",user.faultbus,&user.faultbus,NULL);
    788:     user.t0        = 0.0;
    789:     user.tmax      = 1.5;
    790:     PetscOptionsReal("-t0","","",user.t0,&user.t0,NULL);
    791:     PetscOptionsReal("-tmax","","",user.tmax,&user.tmax,NULL);
    792:     user.freq_u    = 61.0;
    793:     user.freq_l    = 59.0;
    794:     user.pow       = 2;
    795:     PetscOptionsReal("-frequ","","",user.freq_u,&user.freq_u,NULL);
    796:     PetscOptionsReal("-freql","","",user.freq_l,&user.freq_l,NULL);
    797:     PetscOptionsInt("-pow","","",user.pow,&user.pow,NULL);

    799:   }
    800:   PetscOptionsEnd();

    802:   /* Create DMs for generator and network subsystems */
    803:   DMDACreate1d(PETSC_COMM_WORLD,DM_BOUNDARY_NONE,user.neqs_gen,1,1,NULL,&user.dmgen);
    804:   DMSetOptionsPrefix(user.dmgen,"dmgen_");
    805:   DMSetFromOptions(user.dmgen);
    806:   DMSetUp(user.dmgen);
    807:   DMDACreate1d(PETSC_COMM_WORLD,DM_BOUNDARY_NONE,user.neqs_net,1,1,NULL,&user.dmnet);
    808:   DMSetOptionsPrefix(user.dmnet,"dmnet_");
    809:   DMSetFromOptions(user.dmnet);
    810:   DMSetUp(user.dmnet);
    811:   /* Create a composite DM packer and add the two DMs */
    812:   DMCompositeCreate(PETSC_COMM_WORLD,&user.dmpgrid);
    813:   DMSetOptionsPrefix(user.dmpgrid,"pgrid_");
    814:   DMCompositeAddDM(user.dmpgrid,user.dmgen);
    815:   DMCompositeAddDM(user.dmpgrid,user.dmnet);

    817:   /* Create TAO solver and set desired solution method */
    818:   TaoCreate(PETSC_COMM_WORLD,&tao);
    819:   TaoSetType(tao,TAOBLMVM);
    820:   /*
    821:      Optimization starts
    822:   */
    823:   /* Set initial solution guess */
    824:   VecCreateSeq(PETSC_COMM_WORLD,3,&p);
    825:   VecGetArray(p,&x_ptr);
    826:   x_ptr[0] = PG[0]; x_ptr[1] = PG[1]; x_ptr[2] = PG[2];
    827:   VecRestoreArray(p,&x_ptr);

    829:   TaoSetSolution(tao,p);
    830:   /* Set routine for function and gradient evaluation */
    831:   TaoSetObjective(tao,FormFunction,(void *)&user);
    832:   TaoSetGradient(tao,NULL,TaoDefaultComputeGradient,(void *)&user);

    834:   /* Set bounds for the optimization */
    835:   VecDuplicate(p,&lowerb);
    836:   VecDuplicate(p,&upperb);
    837:   VecGetArray(lowerb,&x_ptr);
    838:   x_ptr[0] = 0.5; x_ptr[1] = 0.5; x_ptr[2] = 0.5;
    839:   VecRestoreArray(lowerb,&x_ptr);
    840:   VecGetArray(upperb,&x_ptr);
    841:   x_ptr[0] = 2.0; x_ptr[1] = 2.0; x_ptr[2] = 2.0;
    842:   VecRestoreArray(upperb,&x_ptr);
    843:   TaoSetVariableBounds(tao,lowerb,upperb);

    845:   /* Check for any TAO command line options */
    846:   TaoSetFromOptions(tao);
    847:   TaoGetKSP(tao,&ksp);
    848:   if (ksp) {
    849:     KSPGetPC(ksp,&pc);
    850:     PCSetType(pc,PCNONE);
    851:   }

    853:   /* SOLVE THE APPLICATION */
    854:   TaoSolve(tao);

    856:   VecView(p,PETSC_VIEWER_STDOUT_WORLD);
    857:   /* Free TAO data structures */
    858:   TaoDestroy(&tao);
    859:   VecDestroy(&user.vec_q);
    860:   VecDestroy(&lowerb);
    861:   VecDestroy(&upperb);
    862:   VecDestroy(&p);
    863:   DMDestroy(&user.dmgen);
    864:   DMDestroy(&user.dmnet);
    865:   DMDestroy(&user.dmpgrid);
    866:   ISDestroy(&user.is_diff);
    867:   ISDestroy(&user.is_alg);
    868:   PetscFinalize();
    869:   return 0;
    870: }

    872: /* ------------------------------------------------------------------ */
    873: /*
    874:    FormFunction - Evaluates the function and corresponding gradient.

    876:    Input Parameters:
    877:    tao - the Tao context
    878:    X   - the input vector
    879:    ptr - optional user-defined context, as set by TaoSetObjectiveAndGradient()

    881:    Output Parameters:
    882:    f   - the newly evaluated function
    883: */
    884: PetscErrorCode FormFunction(Tao tao,Vec P,PetscReal *f,void *ctx0)
    885: {
    886:   TS             ts;
    887:   SNES           snes_alg;
    888:   Userctx        *ctx = (Userctx*)ctx0;
    889:   Vec            X;
    890:   Mat            J;
    891:   /* sensitivity context */
    892:   PetscScalar    *x_ptr;
    893:   PetscViewer    Xview,Ybusview;
    894:   Vec            F_alg;
    895:   Vec            Xdot;
    896:   PetscInt       row_loc,col_loc;
    897:   PetscScalar    val;

    899:   VecGetArrayRead(P,(const PetscScalar**)&x_ptr);
    900:   PG[0] = x_ptr[0];
    901:   PG[1] = x_ptr[1];
    902:   PG[2] = x_ptr[2];
    903:   VecRestoreArrayRead(P,(const PetscScalar**)&x_ptr);

    905:   ctx->stepnum = 0;

    907:   VecZeroEntries(ctx->vec_q);

    909:   /* Read initial voltage vector and Ybus */
    910:   PetscViewerBinaryOpen(PETSC_COMM_WORLD,"X.bin",FILE_MODE_READ,&Xview);
    911:   PetscViewerBinaryOpen(PETSC_COMM_WORLD,"Ybus.bin",FILE_MODE_READ,&Ybusview);

    913:   VecCreate(PETSC_COMM_WORLD,&ctx->V0);
    914:   VecSetSizes(ctx->V0,PETSC_DECIDE,ctx->neqs_net);
    915:   VecLoad(ctx->V0,Xview);

    917:   MatCreate(PETSC_COMM_WORLD,&ctx->Ybus);
    918:   MatSetSizes(ctx->Ybus,PETSC_DECIDE,PETSC_DECIDE,ctx->neqs_net,ctx->neqs_net);
    919:   MatSetType(ctx->Ybus,MATBAIJ);
    920:   /*  MatSetBlockSize(ctx->Ybus,2); */
    921:   MatLoad(ctx->Ybus,Ybusview);

    923:   PetscViewerDestroy(&Xview);
    924:   PetscViewerDestroy(&Ybusview);

    926:   DMCreateGlobalVector(ctx->dmpgrid,&X);

    928:   MatCreate(PETSC_COMM_WORLD,&J);
    929:   MatSetSizes(J,PETSC_DECIDE,PETSC_DECIDE,ctx->neqs_pgrid,ctx->neqs_pgrid);
    930:   MatSetFromOptions(J);
    931:   PreallocateJacobian(J,ctx);

    933:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    934:      Create timestepping solver context
    935:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    936:   TSCreate(PETSC_COMM_WORLD,&ts);
    937:   TSSetProblemType(ts,TS_NONLINEAR);
    938:   TSSetType(ts,TSCN);
    939:   TSSetIFunction(ts,NULL,(TSIFunction) IFunction,ctx);
    940:   TSSetIJacobian(ts,J,J,(TSIJacobian)IJacobian,ctx);
    941:   TSSetApplicationContext(ts,ctx);

    943:   TSMonitorSet(ts,MonitorUpdateQ,ctx,NULL);
    944:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    945:      Set initial conditions
    946:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    947:   SetInitialGuess(X,ctx);

    949:   VecDuplicate(X,&F_alg);
    950:   SNESCreate(PETSC_COMM_WORLD,&snes_alg);
    951:   SNESSetFunction(snes_alg,F_alg,AlgFunction,ctx);
    952:   MatZeroEntries(J);
    953:   SNESSetJacobian(snes_alg,J,J,AlgJacobian,ctx);
    954:   SNESSetOptionsPrefix(snes_alg,"alg_");
    955:   SNESSetFromOptions(snes_alg);
    956:   ctx->alg_flg = PETSC_TRUE;
    957:   /* Solve the algebraic equations */
    958:   SNESSolve(snes_alg,NULL,X);

    960:   /* Just to set up the Jacobian structure */
    961:   VecDuplicate(X,&Xdot);
    962:   IJacobian(ts,0.0,X,Xdot,0.0,J,J,ctx);
    963:   VecDestroy(&Xdot);

    965:   ctx->stepnum++;

    967:   TSSetTimeStep(ts,0.01);
    968:   TSSetMaxTime(ts,ctx->tmax);
    969:   TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);
    970:   TSSetFromOptions(ts);

    972:   /* Prefault period */
    973:   ctx->alg_flg = PETSC_FALSE;
    974:   TSSetTime(ts,0.0);
    975:   TSSetMaxTime(ts,ctx->tfaulton);
    976:   TSSolve(ts,X);

    978:   /* Create the nonlinear solver for solving the algebraic system */
    979:   /* Note that although the algebraic system needs to be solved only for
    980:      Idq and V, we reuse the entire system including xgen. The xgen
    981:      variables are held constant by setting their residuals to 0 and
    982:      putting a 1 on the Jacobian diagonal for xgen rows
    983:   */
    984:   MatZeroEntries(J);

    986:   /* Apply disturbance - resistive fault at ctx->faultbus */
    987:   /* This is done by adding shunt conductance to the diagonal location
    988:      in the Ybus matrix */
    989:   row_loc = 2*ctx->faultbus; col_loc = 2*ctx->faultbus+1; /* Location for G */
    990:   val     = 1/ctx->Rfault;
    991:   MatSetValues(ctx->Ybus,1,&row_loc,1,&col_loc,&val,ADD_VALUES);
    992:   row_loc = 2*ctx->faultbus+1; col_loc = 2*ctx->faultbus; /* Location for G */
    993:   val     = 1/ctx->Rfault;
    994:   MatSetValues(ctx->Ybus,1,&row_loc,1,&col_loc,&val,ADD_VALUES);

    996:   MatAssemblyBegin(ctx->Ybus,MAT_FINAL_ASSEMBLY);
    997:   MatAssemblyEnd(ctx->Ybus,MAT_FINAL_ASSEMBLY);

    999:   ctx->alg_flg = PETSC_TRUE;
    1000:   /* Solve the algebraic equations */
    1001:   SNESSolve(snes_alg,NULL,X);

    1003:   ctx->stepnum++;

    1005:   /* Disturbance period */
    1006:   ctx->alg_flg = PETSC_FALSE;
    1007:   TSSetTime(ts,ctx->tfaulton);
    1008:   TSSetMaxTime(ts,ctx->tfaultoff);
    1009:   TSSolve(ts,X);

    1011:   /* Remove the fault */
    1012:   row_loc = 2*ctx->faultbus; col_loc = 2*ctx->faultbus+1;
    1013:   val     = -1/ctx->Rfault;
    1014:   MatSetValues(ctx->Ybus,1,&row_loc,1,&col_loc,&val,ADD_VALUES);
    1015:   row_loc = 2*ctx->faultbus+1; col_loc = 2*ctx->faultbus;
    1016:   val     = -1/ctx->Rfault;
    1017:   MatSetValues(ctx->Ybus,1,&row_loc,1,&col_loc,&val,ADD_VALUES);

    1019:   MatAssemblyBegin(ctx->Ybus,MAT_FINAL_ASSEMBLY);
    1020:   MatAssemblyEnd(ctx->Ybus,MAT_FINAL_ASSEMBLY);

    1022:   MatZeroEntries(J);

    1024:   ctx->alg_flg = PETSC_TRUE;

    1026:   /* Solve the algebraic equations */
    1027:   SNESSolve(snes_alg,NULL,X);

    1029:   ctx->stepnum++;

    1031:   /* Post-disturbance period */
    1032:   ctx->alg_flg = PETSC_TRUE;
    1033:   TSSetTime(ts,ctx->tfaultoff);
    1034:   TSSetMaxTime(ts,ctx->tmax);
    1035:   TSSolve(ts,X);

    1037:   VecGetArray(ctx->vec_q,&x_ptr);
    1038:   *f   = x_ptr[0];
    1039:   VecRestoreArray(ctx->vec_q,&x_ptr);

    1041:   MatDestroy(&ctx->Ybus);
    1042:   VecDestroy(&ctx->V0);
    1043:   SNESDestroy(&snes_alg);
    1044:   VecDestroy(&F_alg);
    1045:   MatDestroy(&J);
    1046:   VecDestroy(&X);
    1047:   TSDestroy(&ts);

    1049:   return 0;
    1050: }

    1052: /*TEST

    1054:   build:
    1055:       requires: double !complex !defined(USE_64BIT_INDICES)

    1057:    test:
    1058:       args: -viewer_binary_skip_info -tao_monitor -tao_gttol .2
    1059:       localrunfiles: petscoptions X.bin Ybus.bin

    1061: TEST*/