1c4762a1bSJed Brown 2c4762a1bSJed Brown static char help[] = "Basic equation for generator stability analysis.\n"; 3c4762a1bSJed Brown 4c4762a1bSJed Brown /*F 5c4762a1bSJed Brown 6c4762a1bSJed Brown \begin{eqnarray} 7c4762a1bSJed Brown \frac{d \theta}{dt} = \omega_b (\omega - \omega_s) 8c4762a1bSJed Brown \frac{2 H}{\omega_s}\frac{d \omega}{dt} & = & P_m - P_max \sin(\theta) -D(\omega - \omega_s)\\ 9c4762a1bSJed Brown \end{eqnarray} 10c4762a1bSJed Brown 11c4762a1bSJed Brown Ensemble of initial conditions 12c4762a1bSJed 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 13c4762a1bSJed Brown 14c4762a1bSJed Brown Fault at .1 seconds 15c4762a1bSJed 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 16c4762a1bSJed Brown 17c4762a1bSJed Brown Initial conditions same as when fault is ended 18c4762a1bSJed 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 19c4762a1bSJed Brown 20c4762a1bSJed Brown F*/ 21c4762a1bSJed Brown 22c4762a1bSJed Brown /* 23c4762a1bSJed Brown Include "petscts.h" so that we can use TS solvers. Note that this 24c4762a1bSJed Brown file automatically includes: 25c4762a1bSJed Brown petscsys.h - base PETSc routines petscvec.h - vectors 26c4762a1bSJed Brown petscmat.h - matrices 27c4762a1bSJed Brown petscis.h - index sets petscksp.h - Krylov subspace methods 28c4762a1bSJed Brown petscviewer.h - viewers petscpc.h - preconditioners 29c4762a1bSJed Brown petscksp.h - linear solvers 30c4762a1bSJed Brown */ 31c4762a1bSJed Brown 32c4762a1bSJed Brown #include <petscts.h> 33c4762a1bSJed Brown 34c4762a1bSJed Brown typedef struct { 35c4762a1bSJed Brown PetscScalar H,D,omega_b,omega_s,Pmax,Pm,E,V,X; 36c4762a1bSJed Brown PetscReal tf,tcl; 37c4762a1bSJed Brown } AppCtx; 38c4762a1bSJed Brown 39c4762a1bSJed Brown /* 40c4762a1bSJed Brown Defines the ODE passed to the ODE solver 41c4762a1bSJed Brown */ 42c4762a1bSJed Brown static PetscErrorCode RHSFunction(TS ts,PetscReal t,Vec U,Vec F,AppCtx *ctx) 43c4762a1bSJed Brown { 44c4762a1bSJed Brown PetscErrorCode ierr; 45c4762a1bSJed Brown const PetscScalar *u; 46c4762a1bSJed Brown PetscScalar *f,Pmax; 47c4762a1bSJed Brown 48c4762a1bSJed Brown PetscFunctionBegin; 49c4762a1bSJed Brown /* The next three lines allow us to access the entries of the vectors directly */ 50c4762a1bSJed Brown ierr = VecGetArrayRead(U,&u);CHKERRQ(ierr); 51c4762a1bSJed Brown ierr = VecGetArray(F,&f);CHKERRQ(ierr); 52c4762a1bSJed 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 */ 53c4762a1bSJed Brown else Pmax = ctx->Pmax; 54c4762a1bSJed Brown 55c4762a1bSJed Brown f[0] = ctx->omega_b*(u[1] - ctx->omega_s); 56c4762a1bSJed Brown f[1] = (-Pmax*PetscSinScalar(u[0]) - ctx->D*(u[1] - ctx->omega_s) + ctx->Pm)*ctx->omega_s/(2.0*ctx->H); 57c4762a1bSJed Brown 58c4762a1bSJed Brown ierr = VecRestoreArrayRead(U,&u);CHKERRQ(ierr); 59c4762a1bSJed Brown ierr = VecRestoreArray(F,&f);CHKERRQ(ierr); 60c4762a1bSJed Brown PetscFunctionReturn(0); 61c4762a1bSJed Brown } 62c4762a1bSJed Brown 63c4762a1bSJed Brown /* 64c4762a1bSJed Brown Defines the Jacobian of the ODE passed to the ODE solver. See TSSetIJacobian() for the meaning of a and the Jacobian. 65c4762a1bSJed Brown */ 66c4762a1bSJed Brown static PetscErrorCode RHSJacobian(TS ts,PetscReal t,Vec U,Mat A,Mat B,AppCtx *ctx) 67c4762a1bSJed Brown { 68c4762a1bSJed Brown PetscErrorCode ierr; 69c4762a1bSJed Brown PetscInt rowcol[] = {0,1}; 70c4762a1bSJed Brown PetscScalar J[2][2],Pmax; 71c4762a1bSJed Brown const PetscScalar *u; 72c4762a1bSJed Brown 73c4762a1bSJed Brown PetscFunctionBegin; 74c4762a1bSJed Brown ierr = VecGetArrayRead(U,&u);CHKERRQ(ierr); 75c4762a1bSJed 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 */ 76c4762a1bSJed Brown else Pmax = ctx->Pmax; 77c4762a1bSJed Brown 78c4762a1bSJed Brown J[0][0] = 0; J[0][1] = ctx->omega_b; 79c4762a1bSJed 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); 80c4762a1bSJed Brown 81c4762a1bSJed Brown ierr = MatSetValues(B,2,rowcol,2,rowcol,&J[0][0],INSERT_VALUES);CHKERRQ(ierr); 82c4762a1bSJed Brown ierr = VecRestoreArrayRead(U,&u);CHKERRQ(ierr); 83c4762a1bSJed Brown 84c4762a1bSJed Brown ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 85c4762a1bSJed Brown ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 86c4762a1bSJed Brown if (A != B) { 87c4762a1bSJed Brown ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 88c4762a1bSJed Brown ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 89c4762a1bSJed Brown } 90c4762a1bSJed Brown PetscFunctionReturn(0); 91c4762a1bSJed Brown } 92c4762a1bSJed Brown 93c4762a1bSJed Brown int main(int argc,char **argv) 94c4762a1bSJed Brown { 95c4762a1bSJed Brown TS ts; /* ODE integrator */ 96c4762a1bSJed Brown Vec U; /* solution will be stored here */ 97c4762a1bSJed Brown Mat A; /* Jacobian matrix */ 98c4762a1bSJed Brown PetscErrorCode ierr; 99c4762a1bSJed Brown PetscMPIInt size; 100c4762a1bSJed Brown PetscInt n = 2; 101c4762a1bSJed Brown AppCtx ctx; 102c4762a1bSJed Brown PetscScalar *u; 103c4762a1bSJed Brown PetscReal du[2] = {0.0,0.0}; 104c4762a1bSJed Brown PetscBool ensemble = PETSC_FALSE,flg1,flg2; 105c4762a1bSJed Brown 106c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 107c4762a1bSJed Brown Initialize program 108c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 109c4762a1bSJed Brown ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr; 110ffc4695bSBarry Smith ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRMPI(ierr); 111*3c633725SBarry Smith PetscCheck(size == 1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"Only for sequential runs"); 112c4762a1bSJed Brown 113c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 114c4762a1bSJed Brown Create necessary matrix and vectors 115c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 116c4762a1bSJed Brown ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr); 117c4762a1bSJed Brown ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 118c4762a1bSJed Brown ierr = MatSetType(A,MATDENSE);CHKERRQ(ierr); 119c4762a1bSJed Brown ierr = MatSetFromOptions(A);CHKERRQ(ierr); 120c4762a1bSJed Brown ierr = MatSetUp(A);CHKERRQ(ierr); 121c4762a1bSJed Brown 122c4762a1bSJed Brown ierr = MatCreateVecs(A,&U,NULL);CHKERRQ(ierr); 123c4762a1bSJed Brown 124c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 125c4762a1bSJed Brown Set runtime options 126c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 127c4762a1bSJed Brown ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Swing equation options","");CHKERRQ(ierr); 128c4762a1bSJed Brown { 129c4762a1bSJed Brown ctx.omega_b = 1.0; 130c4762a1bSJed Brown ctx.omega_s = 2.0*PETSC_PI*60.0; 131c4762a1bSJed Brown ctx.H = 5.0; 132c4762a1bSJed Brown ierr = PetscOptionsScalar("-Inertia","","",ctx.H,&ctx.H,NULL);CHKERRQ(ierr); 133c4762a1bSJed Brown ctx.D = 5.0; 134c4762a1bSJed Brown ierr = PetscOptionsScalar("-D","","",ctx.D,&ctx.D,NULL);CHKERRQ(ierr); 135c4762a1bSJed Brown ctx.E = 1.1378; 136c4762a1bSJed Brown ctx.V = 1.0; 137c4762a1bSJed Brown ctx.X = 0.545; 138c4762a1bSJed Brown ctx.Pmax = ctx.E*ctx.V/ctx.X; 139c4762a1bSJed Brown ierr = PetscOptionsScalar("-Pmax","","",ctx.Pmax,&ctx.Pmax,NULL);CHKERRQ(ierr); 140c4762a1bSJed Brown ctx.Pm = 0.9; 141c4762a1bSJed Brown ierr = PetscOptionsScalar("-Pm","","",ctx.Pm,&ctx.Pm,NULL);CHKERRQ(ierr); 142c4762a1bSJed Brown ctx.tf = 1.0; 143c4762a1bSJed Brown ctx.tcl = 1.05; 144c4762a1bSJed Brown ierr = PetscOptionsReal("-tf","Time to start fault","",ctx.tf,&ctx.tf,NULL);CHKERRQ(ierr); 145c4762a1bSJed Brown ierr = PetscOptionsReal("-tcl","Time to end fault","",ctx.tcl,&ctx.tcl,NULL);CHKERRQ(ierr); 146c4762a1bSJed Brown ierr = PetscOptionsBool("-ensemble","Run ensemble of different initial conditions","",ensemble,&ensemble,NULL);CHKERRQ(ierr); 147c4762a1bSJed Brown if (ensemble) { 148c4762a1bSJed Brown ctx.tf = -1; 149c4762a1bSJed Brown ctx.tcl = -1; 150c4762a1bSJed Brown } 151c4762a1bSJed Brown 152c4762a1bSJed Brown ierr = VecGetArray(U,&u);CHKERRQ(ierr); 153c4762a1bSJed Brown u[0] = PetscAsinScalar(ctx.Pm/ctx.Pmax); 154c4762a1bSJed Brown u[1] = 1.0; 155c4762a1bSJed Brown ierr = PetscOptionsRealArray("-u","Initial solution","",u,&n,&flg1);CHKERRQ(ierr); 156c4762a1bSJed Brown n = 2; 157c4762a1bSJed Brown ierr = PetscOptionsRealArray("-du","Perturbation in initial solution","",du,&n,&flg2);CHKERRQ(ierr); 158c4762a1bSJed Brown u[0] += du[0]; 159c4762a1bSJed Brown u[1] += du[1]; 160c4762a1bSJed Brown ierr = VecRestoreArray(U,&u);CHKERRQ(ierr); 161c4762a1bSJed Brown if (flg1 || flg2) { 162c4762a1bSJed Brown ctx.tf = -1; 163c4762a1bSJed Brown ctx.tcl = -1; 164c4762a1bSJed Brown } 165c4762a1bSJed Brown } 166c4762a1bSJed Brown ierr = PetscOptionsEnd();CHKERRQ(ierr); 167c4762a1bSJed Brown 168c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 169c4762a1bSJed Brown Create timestepping solver context 170c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 171c4762a1bSJed Brown ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr); 172c4762a1bSJed Brown ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr); 173c4762a1bSJed Brown ierr = TSSetType(ts,TSTHETA);CHKERRQ(ierr); 174c4762a1bSJed Brown ierr = TSSetRHSFunction(ts,NULL,(TSRHSFunction)RHSFunction,&ctx);CHKERRQ(ierr); 175c4762a1bSJed Brown ierr = TSSetRHSJacobian(ts,A,A,(TSRHSJacobian)RHSJacobian,&ctx);CHKERRQ(ierr); 176c4762a1bSJed Brown 177c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 178c4762a1bSJed Brown Set initial conditions 179c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 180c4762a1bSJed Brown ierr = TSSetSolution(ts,U);CHKERRQ(ierr); 181c4762a1bSJed Brown 182c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 183c4762a1bSJed Brown Set solver options 184c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 185c4762a1bSJed Brown ierr = TSSetMaxTime(ts,35.0);CHKERRQ(ierr); 186c4762a1bSJed Brown ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr); 187c4762a1bSJed Brown ierr = TSSetTimeStep(ts,.01);CHKERRQ(ierr); 188c4762a1bSJed Brown ierr = TSSetFromOptions(ts);CHKERRQ(ierr); 189c4762a1bSJed Brown 190c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 191c4762a1bSJed Brown Solve nonlinear system 192c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 193c4762a1bSJed Brown if (ensemble) { 194c4762a1bSJed Brown for (du[1] = -2.5; du[1] <= .01; du[1] += .1) { 195c4762a1bSJed Brown ierr = VecGetArray(U,&u);CHKERRQ(ierr); 196c4762a1bSJed Brown u[0] = PetscAsinScalar(ctx.Pm/ctx.Pmax); 197c4762a1bSJed Brown u[1] = ctx.omega_s; 198c4762a1bSJed Brown u[0] += du[0]; 199c4762a1bSJed Brown u[1] += du[1]; 200c4762a1bSJed Brown ierr = VecRestoreArray(U,&u);CHKERRQ(ierr); 201c4762a1bSJed Brown ierr = TSSetTimeStep(ts,.01);CHKERRQ(ierr); 202c4762a1bSJed Brown ierr = TSSolve(ts,U);CHKERRQ(ierr); 203c4762a1bSJed Brown } 204c4762a1bSJed Brown } else { 205c4762a1bSJed Brown ierr = TSSolve(ts,U);CHKERRQ(ierr); 206c4762a1bSJed Brown } 207c4762a1bSJed Brown ierr = VecView(U,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 208c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 209c4762a1bSJed Brown Free work space. All PETSc objects should be destroyed when they are no longer needed. 210c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 211c4762a1bSJed Brown ierr = MatDestroy(&A);CHKERRQ(ierr); 212c4762a1bSJed Brown ierr = VecDestroy(&U);CHKERRQ(ierr); 213c4762a1bSJed Brown ierr = TSDestroy(&ts);CHKERRQ(ierr); 214c4762a1bSJed Brown ierr = PetscFinalize(); 215c4762a1bSJed Brown return ierr; 216c4762a1bSJed Brown } 217c4762a1bSJed Brown 218c4762a1bSJed Brown /*TEST 219c4762a1bSJed Brown 220c4762a1bSJed Brown build: 221c4762a1bSJed Brown requires: !complex 222c4762a1bSJed Brown 223c4762a1bSJed Brown test: 224c4762a1bSJed Brown 225c4762a1bSJed Brown TEST*/ 226