static char help[] = "Finds optimal parameter P_m for the generator system while maintaining generator stability.\n"; /*F \begin{eqnarray} \frac{d \theta}{dt} = \omega_b (\omega - \omega_s) \frac{2 H}{\omega_s}\frac{d \omega}{dt} & = & P_m - P_max \sin(\theta) -D(\omega - \omega_s)\\ \end{eqnarray} F*/ /* Solve the same optimization problem as in ex3opt.c. Use finite difference to approximate the gradients. */ #include #include #include "ex3.h" PetscErrorCode FormFunction(Tao,Vec,PetscReal*,void*); PetscErrorCode monitor(Tao tao,AppCtx *ctx) { FILE *fp; PetscInt iterate; PetscReal f,gnorm,cnorm,xdiff; Vec X,G; const PetscScalar *x,*g; TaoConvergedReason reason; PetscFunctionBeginUser; PetscCall(TaoGetSolutionStatus(tao,&iterate,&f,&gnorm,&cnorm,&xdiff,&reason)); PetscCall(TaoGetSolution(tao,&X)); PetscCall(TaoGetGradient(tao,&G,NULL,NULL)); PetscCall(VecGetArrayRead(X,&x)); PetscCall(VecGetArrayRead(G,&g)); fp = fopen("ex3opt_fd_conv.out","a"); PetscCall(PetscFPrintf(PETSC_COMM_WORLD,fp,"%" PetscInt_FMT " %g %.12lf %.12lf\n",iterate,(double)gnorm,(double)PetscRealPart(x[0]),(double)PetscRealPart(g[0]))); PetscCall(VecRestoreArrayRead(X,&x)); PetscCall(VecRestoreArrayRead(G,&g)); fclose(fp); PetscFunctionReturn(0); } int main(int argc,char **argv) { Vec p; PetscScalar *x_ptr; PetscMPIInt size; AppCtx ctx; Vec lowerb,upperb; Tao tao; KSP ksp; PC pc; PetscBool printtofile; /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Initialize program - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(PetscInitialize(&argc,&argv,NULL,help)); PetscFunctionBeginUser; PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size)); PetscCheck(size == 1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only!"); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set runtime options - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Swing equation options",""); { ctx.beta = 2; ctx.c = 10000.0; ctx.u_s = 1.0; ctx.omega_s = 1.0; ctx.omega_b = 120.0*PETSC_PI; ctx.H = 5.0; PetscCall(PetscOptionsScalar("-Inertia","","",ctx.H,&ctx.H,NULL)); ctx.D = 5.0; PetscCall(PetscOptionsScalar("-D","","",ctx.D,&ctx.D,NULL)); ctx.E = 1.1378; ctx.V = 1.0; ctx.X = 0.545; ctx.Pmax = ctx.E*ctx.V/ctx.X; ctx.Pmax_ini = ctx.Pmax; PetscCall(PetscOptionsScalar("-Pmax","","",ctx.Pmax,&ctx.Pmax,NULL)); ctx.Pm = 1.06; PetscCall(PetscOptionsScalar("-Pm","","",ctx.Pm,&ctx.Pm,NULL)); ctx.tf = 0.1; ctx.tcl = 0.2; PetscCall(PetscOptionsReal("-tf","Time to start fault","",ctx.tf,&ctx.tf,NULL)); PetscCall(PetscOptionsReal("-tcl","Time to end fault","",ctx.tcl,&ctx.tcl,NULL)); printtofile = PETSC_FALSE; PetscCall(PetscOptionsBool("-printtofile","Print convergence results to file","",printtofile,&printtofile,NULL)); } PetscOptionsEnd(); /* Create TAO solver and set desired solution method */ PetscCall(TaoCreate(PETSC_COMM_WORLD,&tao)); PetscCall(TaoSetType(tao,TAOBLMVM)); if (printtofile) { PetscCall(TaoSetMonitor(tao,(PetscErrorCode (*)(Tao, void*))monitor,(void *)&ctx,PETSC_NULL)); } PetscCall(TaoSetMaximumIterations(tao,30)); /* Optimization starts */ /* Set initial solution guess */ PetscCall(VecCreateSeq(PETSC_COMM_WORLD,1,&p)); PetscCall(VecGetArray(p,&x_ptr)); x_ptr[0] = ctx.Pm; PetscCall(VecRestoreArray(p,&x_ptr)); PetscCall(TaoSetSolution(tao,p)); /* Set routine for function and gradient evaluation */ PetscCall(TaoSetObjective(tao,FormFunction,(void *)&ctx)); PetscCall(TaoSetGradient(tao,NULL,TaoDefaultComputeGradient,(void *)&ctx)); /* Set bounds for the optimization */ PetscCall(VecDuplicate(p,&lowerb)); PetscCall(VecDuplicate(p,&upperb)); PetscCall(VecGetArray(lowerb,&x_ptr)); x_ptr[0] = 0.; PetscCall(VecRestoreArray(lowerb,&x_ptr)); PetscCall(VecGetArray(upperb,&x_ptr)); x_ptr[0] = 1.1; PetscCall(VecRestoreArray(upperb,&x_ptr)); PetscCall(TaoSetVariableBounds(tao,lowerb,upperb)); /* Check for any TAO command line options */ PetscCall(TaoSetFromOptions(tao)); PetscCall(TaoGetKSP(tao,&ksp)); if (ksp) { PetscCall(KSPGetPC(ksp,&pc)); PetscCall(PCSetType(pc,PCNONE)); } /* SOLVE THE APPLICATION */ PetscCall(TaoSolve(tao)); PetscCall(VecView(p,PETSC_VIEWER_STDOUT_WORLD)); /* Free TAO data structures */ PetscCall(TaoDestroy(&tao)); PetscCall(VecDestroy(&p)); PetscCall(VecDestroy(&lowerb)); PetscCall(VecDestroy(&upperb)); PetscCall(PetscFinalize()); return 0; } /* ------------------------------------------------------------------ */ /* FormFunction - Evaluates the function and corresponding gradient. Input Parameters: tao - the Tao context X - the input vector ptr - optional user-defined context, as set by TaoSetObjectiveAndGradient() Output Parameters: f - the newly evaluated function */ PetscErrorCode FormFunction(Tao tao,Vec P,PetscReal *f,void *ctx0) { AppCtx *ctx = (AppCtx*)ctx0; TS ts,quadts; Vec U; /* solution will be stored here */ Mat A; /* Jacobian matrix */ PetscInt n = 2; PetscReal ftime; PetscInt steps; PetscScalar *u; const PetscScalar *x_ptr,*qx_ptr; Vec q; PetscInt direction[2]; PetscBool terminate[2]; PetscCall(VecGetArrayRead(P,&x_ptr)); ctx->Pm = x_ptr[0]; PetscCall(VecRestoreArrayRead(P,&x_ptr)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create necessary matrix and vectors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(MatCreate(PETSC_COMM_WORLD,&A)); PetscCall(MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE)); PetscCall(MatSetType(A,MATDENSE)); PetscCall(MatSetFromOptions(A)); PetscCall(MatSetUp(A)); PetscCall(MatCreateVecs(A,&U,NULL)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create timestepping solver context - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSCreate(PETSC_COMM_WORLD,&ts)); PetscCall(TSSetProblemType(ts,TS_NONLINEAR)); PetscCall(TSSetType(ts,TSCN)); PetscCall(TSSetIFunction(ts,NULL,(TSIFunction) IFunction,ctx)); PetscCall(TSSetIJacobian(ts,A,A,(TSIJacobian)IJacobian,ctx)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set initial conditions - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(VecGetArray(U,&u)); u[0] = PetscAsinScalar(ctx->Pm/ctx->Pmax); u[1] = 1.0; PetscCall(VecRestoreArray(U,&u)); PetscCall(TSSetSolution(ts,U)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set solver options - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSetMaxTime(ts,1.0)); PetscCall(TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP)); PetscCall(TSSetTimeStep(ts,0.03125)); PetscCall(TSCreateQuadratureTS(ts,PETSC_TRUE,&quadts)); PetscCall(TSGetSolution(quadts,&q)); PetscCall(VecSet(q,0.0)); PetscCall(TSSetRHSFunction(quadts,NULL,(TSRHSFunction)CostIntegrand,ctx)); PetscCall(TSSetFromOptions(ts)); direction[0] = direction[1] = 1; terminate[0] = terminate[1] = PETSC_FALSE; PetscCall(TSSetEventHandler(ts,2,direction,terminate,EventFunction,PostEventFunction,(void*)ctx)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Solve nonlinear system - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSolve(ts,U)); PetscCall(TSGetSolveTime(ts,&ftime)); PetscCall(TSGetStepNumber(ts,&steps)); PetscCall(VecGetArrayRead(q,&qx_ptr)); *f = -ctx->Pm + qx_ptr[0]; PetscCall(VecRestoreArrayRead(q,&qx_ptr)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Free work space. All PETSc objects should be destroyed when they are no longer needed. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(MatDestroy(&A)); PetscCall(VecDestroy(&U)); PetscCall(TSDestroy(&ts)); return 0; } /*TEST build: requires: !complex !single test: args: -ts_type cn -pc_type lu -tao_monitor -tao_gatol 1e-3 TEST*/