1*c4762a1bSJed Brown 2*c4762a1bSJed Brown static char help[] = "Basic equation for generator stability analysis.\n"; 3*c4762a1bSJed Brown 4*c4762a1bSJed Brown /*F 5*c4762a1bSJed Brown 6*c4762a1bSJed Brown \begin{eqnarray} 7*c4762a1bSJed Brown \frac{d \theta}{dt} = \omega_b (\omega - \omega_s) 8*c4762a1bSJed Brown \frac{2 H}{\omega_s}\frac{d \omega}{dt} & = & P_m - P_max \sin(\theta) -D(\omega - \omega_s)\\ 9*c4762a1bSJed Brown \end{eqnarray} 10*c4762a1bSJed Brown 11*c4762a1bSJed Brown 12*c4762a1bSJed Brown 13*c4762a1bSJed Brown Ensemble of initial conditions 14*c4762a1bSJed Brown ./ex2 -ensemble -ts_monitor_draw_solution_phase -1,-3,3,3 -ts_adapt_dt_max .01 -ts_monitor -ts_type rosw -pc_type lu -ksp_type preonly 15*c4762a1bSJed Brown 16*c4762a1bSJed Brown Fault at .1 seconds 17*c4762a1bSJed Brown ./ex2 -ts_monitor_draw_solution_phase .42,.95,.6,1.05 -ts_adapt_dt_max .01 -ts_monitor -ts_type rosw -pc_type lu -ksp_type preonly 18*c4762a1bSJed Brown 19*c4762a1bSJed Brown Initial conditions same as when fault is ended 20*c4762a1bSJed Brown ./ex2 -u 0.496792,1.00932 -ts_monitor_draw_solution_phase .42,.95,.6,1.05 -ts_adapt_dt_max .01 -ts_monitor -ts_type rosw -pc_type lu -ksp_type preonly 21*c4762a1bSJed Brown 22*c4762a1bSJed Brown 23*c4762a1bSJed Brown F*/ 24*c4762a1bSJed Brown 25*c4762a1bSJed Brown /* 26*c4762a1bSJed Brown Include "petscts.h" so that we can use TS solvers. Note that this 27*c4762a1bSJed Brown file automatically includes: 28*c4762a1bSJed Brown petscsys.h - base PETSc routines petscvec.h - vectors 29*c4762a1bSJed Brown petscmat.h - matrices 30*c4762a1bSJed Brown petscis.h - index sets petscksp.h - Krylov subspace methods 31*c4762a1bSJed Brown petscviewer.h - viewers petscpc.h - preconditioners 32*c4762a1bSJed Brown petscksp.h - linear solvers 33*c4762a1bSJed Brown */ 34*c4762a1bSJed Brown 35*c4762a1bSJed Brown #include <petscts.h> 36*c4762a1bSJed Brown 37*c4762a1bSJed Brown typedef struct { 38*c4762a1bSJed Brown PetscScalar H,D,omega_b,omega_s,Pmax,Pm,E,V,X; 39*c4762a1bSJed Brown PetscReal tf,tcl; 40*c4762a1bSJed Brown } AppCtx; 41*c4762a1bSJed Brown 42*c4762a1bSJed Brown /* 43*c4762a1bSJed Brown Defines the ODE passed to the ODE solver 44*c4762a1bSJed Brown */ 45*c4762a1bSJed Brown static PetscErrorCode RHSFunction(TS ts,PetscReal t,Vec U,Vec F,AppCtx *ctx) 46*c4762a1bSJed Brown { 47*c4762a1bSJed Brown PetscErrorCode ierr; 48*c4762a1bSJed Brown const PetscScalar *u; 49*c4762a1bSJed Brown PetscScalar *f,Pmax; 50*c4762a1bSJed Brown 51*c4762a1bSJed Brown PetscFunctionBegin; 52*c4762a1bSJed Brown /* The next three lines allow us to access the entries of the vectors directly */ 53*c4762a1bSJed Brown ierr = VecGetArrayRead(U,&u);CHKERRQ(ierr); 54*c4762a1bSJed Brown ierr = VecGetArray(F,&f);CHKERRQ(ierr); 55*c4762a1bSJed Brown if ((t > ctx->tf) && (t < ctx->tcl)) Pmax = 0.0; /* A short-circuit on the generator terminal that drives the electrical power output (Pmax*sin(delta)) to 0 */ 56*c4762a1bSJed Brown else Pmax = ctx->Pmax; 57*c4762a1bSJed Brown 58*c4762a1bSJed Brown f[0] = ctx->omega_b*(u[1] - ctx->omega_s); 59*c4762a1bSJed Brown f[1] = (-Pmax*PetscSinScalar(u[0]) - ctx->D*(u[1] - ctx->omega_s) + ctx->Pm)*ctx->omega_s/(2.0*ctx->H); 60*c4762a1bSJed Brown 61*c4762a1bSJed Brown ierr = VecRestoreArrayRead(U,&u);CHKERRQ(ierr); 62*c4762a1bSJed Brown ierr = VecRestoreArray(F,&f);CHKERRQ(ierr); 63*c4762a1bSJed Brown PetscFunctionReturn(0); 64*c4762a1bSJed Brown } 65*c4762a1bSJed Brown 66*c4762a1bSJed Brown /* 67*c4762a1bSJed Brown Defines the Jacobian of the ODE passed to the ODE solver. See TSSetIJacobian() for the meaning of a and the Jacobian. 68*c4762a1bSJed Brown */ 69*c4762a1bSJed Brown static PetscErrorCode RHSJacobian(TS ts,PetscReal t,Vec U,Mat A,Mat B,AppCtx *ctx) 70*c4762a1bSJed Brown { 71*c4762a1bSJed Brown PetscErrorCode ierr; 72*c4762a1bSJed Brown PetscInt rowcol[] = {0,1}; 73*c4762a1bSJed Brown PetscScalar J[2][2],Pmax; 74*c4762a1bSJed Brown const PetscScalar *u; 75*c4762a1bSJed Brown 76*c4762a1bSJed Brown PetscFunctionBegin; 77*c4762a1bSJed Brown ierr = VecGetArrayRead(U,&u);CHKERRQ(ierr); 78*c4762a1bSJed Brown if ((t > ctx->tf) && (t < ctx->tcl)) Pmax = 0.0; /* A short-circuit on the generator terminal that drives the electrical power output (Pmax*sin(delta)) to 0 */ 79*c4762a1bSJed Brown else Pmax = ctx->Pmax; 80*c4762a1bSJed Brown 81*c4762a1bSJed Brown J[0][0] = 0; J[0][1] = ctx->omega_b; 82*c4762a1bSJed Brown J[1][1] = -ctx->D*ctx->omega_s/(2.0*ctx->H); J[1][0] = -Pmax*PetscCosScalar(u[0])*ctx->omega_s/(2.0*ctx->H); 83*c4762a1bSJed Brown 84*c4762a1bSJed Brown ierr = MatSetValues(B,2,rowcol,2,rowcol,&J[0][0],INSERT_VALUES);CHKERRQ(ierr); 85*c4762a1bSJed Brown ierr = VecRestoreArrayRead(U,&u);CHKERRQ(ierr); 86*c4762a1bSJed Brown 87*c4762a1bSJed Brown ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 88*c4762a1bSJed Brown ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 89*c4762a1bSJed Brown if (A != B) { 90*c4762a1bSJed Brown ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 91*c4762a1bSJed Brown ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 92*c4762a1bSJed Brown } 93*c4762a1bSJed Brown PetscFunctionReturn(0); 94*c4762a1bSJed Brown } 95*c4762a1bSJed Brown 96*c4762a1bSJed Brown int main(int argc,char **argv) 97*c4762a1bSJed Brown { 98*c4762a1bSJed Brown TS ts; /* ODE integrator */ 99*c4762a1bSJed Brown Vec U; /* solution will be stored here */ 100*c4762a1bSJed Brown Mat A; /* Jacobian matrix */ 101*c4762a1bSJed Brown PetscErrorCode ierr; 102*c4762a1bSJed Brown PetscMPIInt size; 103*c4762a1bSJed Brown PetscInt n = 2; 104*c4762a1bSJed Brown AppCtx ctx; 105*c4762a1bSJed Brown PetscScalar *u; 106*c4762a1bSJed Brown PetscReal du[2] = {0.0,0.0}; 107*c4762a1bSJed Brown PetscBool ensemble = PETSC_FALSE,flg1,flg2; 108*c4762a1bSJed Brown 109*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 110*c4762a1bSJed Brown Initialize program 111*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 112*c4762a1bSJed Brown ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr; 113*c4762a1bSJed Brown ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr); 114*c4762a1bSJed Brown if (size > 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Only for sequential runs"); 115*c4762a1bSJed Brown 116*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 117*c4762a1bSJed Brown Create necessary matrix and vectors 118*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 119*c4762a1bSJed Brown ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr); 120*c4762a1bSJed Brown ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 121*c4762a1bSJed Brown ierr = MatSetType(A,MATDENSE);CHKERRQ(ierr); 122*c4762a1bSJed Brown ierr = MatSetFromOptions(A);CHKERRQ(ierr); 123*c4762a1bSJed Brown ierr = MatSetUp(A);CHKERRQ(ierr); 124*c4762a1bSJed Brown 125*c4762a1bSJed Brown ierr = MatCreateVecs(A,&U,NULL);CHKERRQ(ierr); 126*c4762a1bSJed Brown 127*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 128*c4762a1bSJed Brown Set runtime options 129*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 130*c4762a1bSJed Brown ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Swing equation options","");CHKERRQ(ierr); 131*c4762a1bSJed Brown { 132*c4762a1bSJed Brown ctx.omega_b = 1.0; 133*c4762a1bSJed Brown ctx.omega_s = 2.0*PETSC_PI*60.0; 134*c4762a1bSJed Brown ctx.H = 5.0; 135*c4762a1bSJed Brown ierr = PetscOptionsScalar("-Inertia","","",ctx.H,&ctx.H,NULL);CHKERRQ(ierr); 136*c4762a1bSJed Brown ctx.D = 5.0; 137*c4762a1bSJed Brown ierr = PetscOptionsScalar("-D","","",ctx.D,&ctx.D,NULL);CHKERRQ(ierr); 138*c4762a1bSJed Brown ctx.E = 1.1378; 139*c4762a1bSJed Brown ctx.V = 1.0; 140*c4762a1bSJed Brown ctx.X = 0.545; 141*c4762a1bSJed Brown ctx.Pmax = ctx.E*ctx.V/ctx.X; 142*c4762a1bSJed Brown ierr = PetscOptionsScalar("-Pmax","","",ctx.Pmax,&ctx.Pmax,NULL);CHKERRQ(ierr); 143*c4762a1bSJed Brown ctx.Pm = 0.9; 144*c4762a1bSJed Brown ierr = PetscOptionsScalar("-Pm","","",ctx.Pm,&ctx.Pm,NULL);CHKERRQ(ierr); 145*c4762a1bSJed Brown ctx.tf = 1.0; 146*c4762a1bSJed Brown ctx.tcl = 1.05; 147*c4762a1bSJed Brown ierr = PetscOptionsReal("-tf","Time to start fault","",ctx.tf,&ctx.tf,NULL);CHKERRQ(ierr); 148*c4762a1bSJed Brown ierr = PetscOptionsReal("-tcl","Time to end fault","",ctx.tcl,&ctx.tcl,NULL);CHKERRQ(ierr); 149*c4762a1bSJed Brown ierr = PetscOptionsBool("-ensemble","Run ensemble of different initial conditions","",ensemble,&ensemble,NULL);CHKERRQ(ierr); 150*c4762a1bSJed Brown if (ensemble) { 151*c4762a1bSJed Brown ctx.tf = -1; 152*c4762a1bSJed Brown ctx.tcl = -1; 153*c4762a1bSJed Brown } 154*c4762a1bSJed Brown 155*c4762a1bSJed Brown ierr = VecGetArray(U,&u);CHKERRQ(ierr); 156*c4762a1bSJed Brown u[0] = PetscAsinScalar(ctx.Pm/ctx.Pmax); 157*c4762a1bSJed Brown u[1] = 1.0; 158*c4762a1bSJed Brown ierr = PetscOptionsRealArray("-u","Initial solution","",u,&n,&flg1);CHKERRQ(ierr); 159*c4762a1bSJed Brown n = 2; 160*c4762a1bSJed Brown ierr = PetscOptionsRealArray("-du","Perturbation in initial solution","",du,&n,&flg2);CHKERRQ(ierr); 161*c4762a1bSJed Brown u[0] += du[0]; 162*c4762a1bSJed Brown u[1] += du[1]; 163*c4762a1bSJed Brown ierr = VecRestoreArray(U,&u);CHKERRQ(ierr); 164*c4762a1bSJed Brown if (flg1 || flg2) { 165*c4762a1bSJed Brown ctx.tf = -1; 166*c4762a1bSJed Brown ctx.tcl = -1; 167*c4762a1bSJed Brown } 168*c4762a1bSJed Brown } 169*c4762a1bSJed Brown ierr = PetscOptionsEnd();CHKERRQ(ierr); 170*c4762a1bSJed Brown 171*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 172*c4762a1bSJed Brown Create timestepping solver context 173*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 174*c4762a1bSJed Brown ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr); 175*c4762a1bSJed Brown ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr); 176*c4762a1bSJed Brown ierr = TSSetType(ts,TSTHETA);CHKERRQ(ierr); 177*c4762a1bSJed Brown ierr = TSSetRHSFunction(ts,NULL,(TSRHSFunction)RHSFunction,&ctx);CHKERRQ(ierr); 178*c4762a1bSJed Brown ierr = TSSetRHSJacobian(ts,A,A,(TSRHSJacobian)RHSJacobian,&ctx);CHKERRQ(ierr); 179*c4762a1bSJed Brown 180*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 181*c4762a1bSJed Brown Set initial conditions 182*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 183*c4762a1bSJed Brown ierr = TSSetSolution(ts,U);CHKERRQ(ierr); 184*c4762a1bSJed Brown 185*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 186*c4762a1bSJed Brown Set solver options 187*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 188*c4762a1bSJed Brown ierr = TSSetMaxTime(ts,35.0);CHKERRQ(ierr); 189*c4762a1bSJed Brown ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr); 190*c4762a1bSJed Brown ierr = TSSetTimeStep(ts,.01);CHKERRQ(ierr); 191*c4762a1bSJed Brown ierr = TSSetFromOptions(ts);CHKERRQ(ierr); 192*c4762a1bSJed Brown 193*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 194*c4762a1bSJed Brown Solve nonlinear system 195*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 196*c4762a1bSJed Brown if (ensemble) { 197*c4762a1bSJed Brown for (du[1] = -2.5; du[1] <= .01; du[1] += .1) { 198*c4762a1bSJed Brown ierr = VecGetArray(U,&u);CHKERRQ(ierr); 199*c4762a1bSJed Brown u[0] = PetscAsinScalar(ctx.Pm/ctx.Pmax); 200*c4762a1bSJed Brown u[1] = ctx.omega_s; 201*c4762a1bSJed Brown u[0] += du[0]; 202*c4762a1bSJed Brown u[1] += du[1]; 203*c4762a1bSJed Brown ierr = VecRestoreArray(U,&u);CHKERRQ(ierr); 204*c4762a1bSJed Brown ierr = TSSetTimeStep(ts,.01);CHKERRQ(ierr); 205*c4762a1bSJed Brown ierr = TSSolve(ts,U);CHKERRQ(ierr); 206*c4762a1bSJed Brown } 207*c4762a1bSJed Brown } else { 208*c4762a1bSJed Brown ierr = TSSolve(ts,U);CHKERRQ(ierr); 209*c4762a1bSJed Brown } 210*c4762a1bSJed Brown ierr = VecView(U,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 211*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 212*c4762a1bSJed Brown Free work space. All PETSc objects should be destroyed when they are no longer needed. 213*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 214*c4762a1bSJed Brown ierr = MatDestroy(&A);CHKERRQ(ierr); 215*c4762a1bSJed Brown ierr = VecDestroy(&U);CHKERRQ(ierr); 216*c4762a1bSJed Brown ierr = TSDestroy(&ts);CHKERRQ(ierr); 217*c4762a1bSJed Brown ierr = PetscFinalize(); 218*c4762a1bSJed Brown return ierr; 219*c4762a1bSJed Brown } 220*c4762a1bSJed Brown 221*c4762a1bSJed Brown 222*c4762a1bSJed Brown /*TEST 223*c4762a1bSJed Brown 224*c4762a1bSJed Brown build: 225*c4762a1bSJed Brown requires: !complex 226*c4762a1bSJed Brown 227*c4762a1bSJed Brown test: 228*c4762a1bSJed Brown 229*c4762a1bSJed Brown TEST*/ 230