xref: /petsc/src/ts/tutorials/power_grid/ex3.c (revision d71ae5a4db6382e7f06317b8d368875286fe9008)
1 
2 static char help[] = "Basic equation for generator stability analysis.\n";
3 
4 /*F
5 
6 \begin{eqnarray}
7                  \frac{d \theta}{dt} = \omega_b (\omega - \omega_s)
8                  \frac{2 H}{\omega_s}\frac{d \omega}{dt} & = & P_m - P_max \sin(\theta) -D(\omega - \omega_s)\\
9 \end{eqnarray}
10 
11   Ensemble of initial conditions
12    ./ex3 -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
13 
14   Fault at .1 seconds
15    ./ex3           -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
16 
17   Initial conditions same as when fault is ended
18    ./ex3 -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
19 
20 F*/
21 
22 /*
23    Include "petscts.h" so that we can use TS solvers.  Note that this
24    file automatically includes:
25      petscsys.h       - base PETSc routines   petscvec.h - vectors
26      petscmat.h - matrices
27      petscis.h     - index sets            petscksp.h - Krylov subspace methods
28      petscviewer.h - viewers               petscpc.h  - preconditioners
29      petscksp.h   - linear solvers
30 */
31 
32 #include <petscts.h>
33 #include "ex3.h"
34 
35 int main(int argc, char **argv)
36 {
37   TS           ts; /* ODE integrator */
38   Vec          U;  /* solution will be stored here */
39   Mat          A;  /* Jacobian matrix */
40   PetscMPIInt  size;
41   PetscInt     n = 2;
42   AppCtx       ctx;
43   PetscScalar *u;
44   PetscReal    du[2]    = {0.0, 0.0};
45   PetscBool    ensemble = PETSC_FALSE, flg1, flg2;
46   PetscInt     direction[2];
47   PetscBool    terminate[2];
48 
49   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
50      Initialize program
51      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
52   PetscFunctionBeginUser;
53   PetscCall(PetscInitialize(&argc, &argv, (char *)0, help));
54   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
55   PetscCheck(size == 1, PETSC_COMM_WORLD, PETSC_ERR_WRONG_MPI_SIZE, "Only for sequential runs");
56 
57   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
58     Create necessary matrix and vectors
59     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
60   PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
61   PetscCall(MatSetSizes(A, n, n, PETSC_DETERMINE, PETSC_DETERMINE));
62   PetscCall(MatSetType(A, MATDENSE));
63   PetscCall(MatSetFromOptions(A));
64   PetscCall(MatSetUp(A));
65 
66   PetscCall(MatCreateVecs(A, &U, NULL));
67 
68   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
69     Set runtime options
70     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
71   PetscOptionsBegin(PETSC_COMM_WORLD, NULL, "Swing equation options", "");
72   {
73     ctx.omega_b = 1.0;
74     ctx.omega_s = 2.0 * PETSC_PI * 60.0;
75     ctx.H       = 5.0;
76     PetscCall(PetscOptionsScalar("-Inertia", "", "", ctx.H, &ctx.H, NULL));
77     ctx.D = 5.0;
78     PetscCall(PetscOptionsScalar("-D", "", "", ctx.D, &ctx.D, NULL));
79     ctx.E        = 1.1378;
80     ctx.V        = 1.0;
81     ctx.X        = 0.545;
82     ctx.Pmax     = ctx.E * ctx.V / ctx.X;
83     ctx.Pmax_ini = ctx.Pmax;
84     PetscCall(PetscOptionsScalar("-Pmax", "", "", ctx.Pmax, &ctx.Pmax, NULL));
85     ctx.Pm = 0.9;
86     PetscCall(PetscOptionsScalar("-Pm", "", "", ctx.Pm, &ctx.Pm, NULL));
87     ctx.tf  = 1.0;
88     ctx.tcl = 1.05;
89     PetscCall(PetscOptionsReal("-tf", "Time to start fault", "", ctx.tf, &ctx.tf, NULL));
90     PetscCall(PetscOptionsReal("-tcl", "Time to end fault", "", ctx.tcl, &ctx.tcl, NULL));
91     PetscCall(PetscOptionsBool("-ensemble", "Run ensemble of different initial conditions", "", ensemble, &ensemble, NULL));
92     if (ensemble) {
93       ctx.tf  = -1;
94       ctx.tcl = -1;
95     }
96 
97     PetscCall(VecGetArray(U, &u));
98     u[0] = PetscAsinScalar(ctx.Pm / ctx.Pmax);
99     u[1] = 1.0;
100     PetscCall(PetscOptionsRealArray("-u", "Initial solution", "", u, &n, &flg1));
101     n = 2;
102     PetscCall(PetscOptionsRealArray("-du", "Perturbation in initial solution", "", du, &n, &flg2));
103     u[0] += du[0];
104     u[1] += du[1];
105     PetscCall(VecRestoreArray(U, &u));
106     if (flg1 || flg2) {
107       ctx.tf  = -1;
108       ctx.tcl = -1;
109     }
110   }
111   PetscOptionsEnd();
112 
113   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
114      Create timestepping solver context
115      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
116   PetscCall(TSCreate(PETSC_COMM_WORLD, &ts));
117   PetscCall(TSSetProblemType(ts, TS_NONLINEAR));
118   PetscCall(TSSetType(ts, TSTHETA));
119   PetscCall(TSSetEquationType(ts, TS_EQ_IMPLICIT));
120   PetscCall(TSARKIMEXSetFullyImplicit(ts, PETSC_TRUE));
121   PetscCall(TSSetIFunction(ts, NULL, (TSIFunction)IFunction, &ctx));
122   PetscCall(TSSetIJacobian(ts, A, A, (TSIJacobian)IJacobian, &ctx));
123 
124   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
125      Set initial conditions
126    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
127   PetscCall(TSSetSolution(ts, U));
128 
129   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
130      Set solver options
131    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
132   PetscCall(TSSetMaxTime(ts, 35.0));
133   PetscCall(TSSetExactFinalTime(ts, TS_EXACTFINALTIME_MATCHSTEP));
134   PetscCall(TSSetTimeStep(ts, .1));
135   PetscCall(TSSetFromOptions(ts));
136 
137   direction[0] = direction[1] = 1;
138   terminate[0] = terminate[1] = PETSC_FALSE;
139 
140   PetscCall(TSSetEventHandler(ts, 2, direction, terminate, EventFunction, PostEventFunction, (void *)&ctx));
141 
142   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
143      Solve nonlinear system
144      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
145   if (ensemble) {
146     for (du[1] = -2.5; du[1] <= .01; du[1] += .1) {
147       PetscCall(VecGetArray(U, &u));
148       u[0] = PetscAsinScalar(ctx.Pm / ctx.Pmax);
149       u[1] = ctx.omega_s;
150       u[0] += du[0];
151       u[1] += du[1];
152       PetscCall(VecRestoreArray(U, &u));
153       PetscCall(TSSetTimeStep(ts, .01));
154       PetscCall(TSSolve(ts, U));
155     }
156   } else {
157     PetscCall(TSSolve(ts, U));
158   }
159   PetscCall(VecView(U, PETSC_VIEWER_STDOUT_WORLD));
160   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
161      Free work space.  All PETSc objects should be destroyed when they are no longer needed.
162    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
163   PetscCall(MatDestroy(&A));
164   PetscCall(VecDestroy(&U));
165   PetscCall(TSDestroy(&ts));
166   PetscCall(PetscFinalize());
167   return 0;
168 }
169 
170 /*TEST
171 
172    build:
173      requires: !complex !single
174 
175    test:
176       args: -nox
177 
178 TEST*/
179