xref: /petsc/src/ts/tutorials/power_grid/ex5.c (revision 3c633725528e547aaaa9b672a746f5d686a276e1)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static char help[] = "Basic equation for an induction generator driven by a wind turbine.\n";
3c4762a1bSJed Brown 
4c4762a1bSJed Brown /*F
5c4762a1bSJed Brown \begin{eqnarray}
6c4762a1bSJed Brown           T_w\frac{dv_w}{dt} & = & v_w - v_we \\
7c4762a1bSJed Brown           2(H_t+H_m)\frac{ds}{dt} & = & P_w - P_e
8c4762a1bSJed Brown \end{eqnarray}
9c4762a1bSJed Brown F*/
10c4762a1bSJed Brown /*
11c4762a1bSJed Brown  - Pw is the power extracted from the wind turbine given by
12c4762a1bSJed Brown            Pw = 0.5*\rho*cp*Ar*vw^3
13c4762a1bSJed Brown 
14c4762a1bSJed Brown  - The wind speed time series is modeled using a Weibull distribution and then
15c4762a1bSJed Brown    passed through a low pass filter (with time constant T_w).
16c4762a1bSJed Brown  - v_we is the wind speed data calculated using Weibull distribution while v_w is
17c4762a1bSJed Brown    the output of the filter.
18c4762a1bSJed Brown  - P_e is assumed as constant electrical torque
19c4762a1bSJed Brown 
20c4762a1bSJed Brown  - This example does not work with adaptive time stepping!
21c4762a1bSJed Brown 
22c4762a1bSJed Brown Reference:
23c4762a1bSJed Brown Power System Modeling and Scripting - F. Milano
24c4762a1bSJed Brown */
25c4762a1bSJed Brown /*T
26c4762a1bSJed Brown 
27c4762a1bSJed Brown T*/
28c4762a1bSJed Brown 
29c4762a1bSJed Brown #include <petscts.h>
30c4762a1bSJed Brown 
31c4762a1bSJed Brown #define freq 50
32c4762a1bSJed Brown #define ws (2*PETSC_PI*freq)
33c4762a1bSJed Brown #define MVAbase 100
34c4762a1bSJed Brown 
35c4762a1bSJed Brown typedef struct {
36c4762a1bSJed Brown   /* Parameters for wind speed model */
37c4762a1bSJed Brown   PetscInt  nsamples; /* Number of wind samples */
38c4762a1bSJed Brown   PetscReal cw;   /* Scale factor for Weibull distribution */
39c4762a1bSJed Brown   PetscReal kw;   /* Shape factor for Weibull distribution */
40c4762a1bSJed Brown   Vec       wind_data; /* Vector to hold wind speeds */
41c4762a1bSJed Brown   Vec       t_wind; /* Vector to hold wind speed times */
42c4762a1bSJed Brown   PetscReal Tw;     /* Filter time constant */
43c4762a1bSJed Brown 
44c4762a1bSJed Brown   /* Wind turbine parameters */
45c4762a1bSJed Brown   PetscScalar Rt; /* Rotor radius */
46c4762a1bSJed Brown   PetscScalar Ar; /* Area swept by rotor (pi*R*R) */
47c4762a1bSJed Brown   PetscReal   nGB; /* Gear box ratio */
48c4762a1bSJed Brown   PetscReal   Ht;  /* Turbine inertia constant */
49c4762a1bSJed Brown   PetscReal   rho; /* Atmospheric pressure */
50c4762a1bSJed Brown 
51c4762a1bSJed Brown   /* Induction generator parameters */
52c4762a1bSJed Brown   PetscInt    np; /* Number of poles */
53c4762a1bSJed Brown   PetscReal   Xm; /* Magnetizing reactance */
54c4762a1bSJed Brown   PetscReal   Xs; /* Stator Reactance */
55c4762a1bSJed Brown   PetscReal   Xr; /* Rotor reactance */
56c4762a1bSJed Brown   PetscReal   Rs; /* Stator resistance */
57c4762a1bSJed Brown   PetscReal   Rr; /* Rotor resistance */
58c4762a1bSJed Brown   PetscReal   Hm; /* Motor inertia constant */
59c4762a1bSJed Brown   PetscReal   Xp; /* Xs + Xm*Xr/(Xm + Xr) */
60c4762a1bSJed Brown   PetscScalar Te; /* Electrical Torque */
61c4762a1bSJed Brown 
62c4762a1bSJed Brown   Mat      Sol;   /* Solution matrix */
63c4762a1bSJed Brown   PetscInt stepnum;   /* Column number of solution matrix */
64c4762a1bSJed Brown } AppCtx;
65c4762a1bSJed Brown 
66c4762a1bSJed Brown /* Initial values computed by Power flow and initialization */
67c4762a1bSJed Brown PetscScalar s = -0.00011577790353;
68c4762a1bSJed Brown /*Pw = 0.011064344110238; %Te*wm */
69c4762a1bSJed Brown PetscScalar       vwa  = 22.317142184449754;
70c4762a1bSJed Brown PetscReal         tmax = 20.0;
71c4762a1bSJed Brown 
72c4762a1bSJed Brown /* Saves the solution at each time to a matrix */
73c4762a1bSJed Brown PetscErrorCode SaveSolution(TS ts)
74c4762a1bSJed Brown {
75c4762a1bSJed Brown   PetscErrorCode    ierr;
76c4762a1bSJed Brown   AppCtx            *user;
77c4762a1bSJed Brown   Vec               X;
78c4762a1bSJed Brown   PetscScalar       *mat;
79c4762a1bSJed Brown   const PetscScalar *x;
80c4762a1bSJed Brown   PetscInt          idx;
81c4762a1bSJed Brown   PetscReal         t;
82c4762a1bSJed Brown 
83c4762a1bSJed Brown   PetscFunctionBegin;
84c4762a1bSJed Brown   ierr     = TSGetApplicationContext(ts,&user);CHKERRQ(ierr);
85c4762a1bSJed Brown   ierr     = TSGetTime(ts,&t);CHKERRQ(ierr);
86c4762a1bSJed Brown   ierr     = TSGetSolution(ts,&X);CHKERRQ(ierr);
87c4762a1bSJed Brown   idx      =  3*user->stepnum;
88c4762a1bSJed Brown   ierr     = MatDenseGetArray(user->Sol,&mat);CHKERRQ(ierr);
89c4762a1bSJed Brown   ierr     = VecGetArrayRead(X,&x);CHKERRQ(ierr);
90c4762a1bSJed Brown   mat[idx] = t;
91c4762a1bSJed Brown   ierr     = PetscArraycpy(mat+idx+1,x,2);CHKERRQ(ierr);
92c4762a1bSJed Brown   ierr     = MatDenseRestoreArray(user->Sol,&mat);CHKERRQ(ierr);
93c4762a1bSJed Brown   ierr     = VecRestoreArrayRead(X,&x);CHKERRQ(ierr);
94c4762a1bSJed Brown   user->stepnum++;
95c4762a1bSJed Brown   PetscFunctionReturn(0);
96c4762a1bSJed Brown }
97c4762a1bSJed Brown 
98c4762a1bSJed Brown /* Computes the wind speed using Weibull distribution */
99c4762a1bSJed Brown PetscErrorCode WindSpeeds(AppCtx *user)
100c4762a1bSJed Brown {
101c4762a1bSJed Brown   PetscErrorCode ierr;
102c4762a1bSJed Brown   PetscScalar    *x,*t,avg_dev,sum;
103c4762a1bSJed Brown   PetscInt       i;
104c4762a1bSJed Brown 
105c4762a1bSJed Brown   PetscFunctionBegin;
106c4762a1bSJed Brown   user->cw       = 5;
107c4762a1bSJed Brown   user->kw       = 2; /* Rayleigh distribution */
108c4762a1bSJed Brown   user->nsamples = 2000;
109c4762a1bSJed Brown   user->Tw       = 0.2;
110c4762a1bSJed Brown   ierr           = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Wind Speed Options","");CHKERRQ(ierr);
111c4762a1bSJed Brown   {
112c4762a1bSJed Brown     ierr = PetscOptionsReal("-cw","","",user->cw,&user->cw,NULL);CHKERRQ(ierr);
113c4762a1bSJed Brown     ierr = PetscOptionsReal("-kw","","",user->kw,&user->kw,NULL);CHKERRQ(ierr);
114c4762a1bSJed Brown     ierr = PetscOptionsInt("-nsamples","","",user->nsamples,&user->nsamples,NULL);CHKERRQ(ierr);
115c4762a1bSJed Brown     ierr = PetscOptionsReal("-Tw","","",user->Tw,&user->Tw,NULL);CHKERRQ(ierr);
116c4762a1bSJed Brown   }
117c4762a1bSJed Brown   ierr = PetscOptionsEnd();CHKERRQ(ierr);
118c4762a1bSJed Brown   ierr = VecCreate(PETSC_COMM_WORLD,&user->wind_data);CHKERRQ(ierr);
119c4762a1bSJed Brown   ierr = VecSetSizes(user->wind_data,PETSC_DECIDE,user->nsamples);CHKERRQ(ierr);
120c4762a1bSJed Brown   ierr = VecSetFromOptions(user->wind_data);CHKERRQ(ierr);
121c4762a1bSJed Brown   ierr = VecDuplicate(user->wind_data,&user->t_wind);CHKERRQ(ierr);
122c4762a1bSJed Brown 
123c4762a1bSJed Brown   ierr = VecGetArray(user->t_wind,&t);CHKERRQ(ierr);
124c4762a1bSJed Brown   for (i=0; i < user->nsamples; i++) t[i] = (i+1)*tmax/user->nsamples;
125c4762a1bSJed Brown   ierr = VecRestoreArray(user->t_wind,&t);CHKERRQ(ierr);
126c4762a1bSJed Brown 
127c4762a1bSJed Brown   /* Wind speed deviation = (-log(rand)/cw)^(1/kw) */
128c4762a1bSJed Brown   ierr = VecSetRandom(user->wind_data,NULL);CHKERRQ(ierr);
129c4762a1bSJed Brown   ierr = VecLog(user->wind_data);CHKERRQ(ierr);
130c4762a1bSJed Brown   ierr = VecScale(user->wind_data,-1/user->cw);CHKERRQ(ierr);
131c4762a1bSJed Brown   ierr = VecGetArray(user->wind_data,&x);CHKERRQ(ierr);
132c4762a1bSJed Brown   for (i=0;i < user->nsamples;i++) x[i] = PetscPowScalar(x[i],(1/user->kw));
133c4762a1bSJed Brown   ierr = VecRestoreArray(user->wind_data,&x);CHKERRQ(ierr);
134c4762a1bSJed Brown   ierr = VecSum(user->wind_data,&sum);CHKERRQ(ierr);
135c4762a1bSJed Brown   avg_dev = sum/user->nsamples;
136c4762a1bSJed Brown   /* Wind speed (t) = (1 + wind speed deviation(t) - avg_dev)*average wind speed */
137c4762a1bSJed Brown   ierr = VecShift(user->wind_data,(1-avg_dev));CHKERRQ(ierr);
138c4762a1bSJed Brown   ierr = VecScale(user->wind_data,vwa);CHKERRQ(ierr);
139c4762a1bSJed Brown   PetscFunctionReturn(0);
140c4762a1bSJed Brown }
141c4762a1bSJed Brown 
142c4762a1bSJed Brown /* Sets the parameters for wind turbine */
143c4762a1bSJed Brown PetscErrorCode SetWindTurbineParams(AppCtx *user)
144c4762a1bSJed Brown {
145c4762a1bSJed Brown   PetscFunctionBegin;
146c4762a1bSJed Brown   user->Rt  = 35;
147c4762a1bSJed Brown   user->Ar  = PETSC_PI*user->Rt*user->Rt;
148c4762a1bSJed Brown   user->nGB = 1.0/89.0;
149c4762a1bSJed Brown   user->rho = 1.225;
150c4762a1bSJed Brown   user->Ht  = 1.5;
151c4762a1bSJed Brown   PetscFunctionReturn(0);
152c4762a1bSJed Brown }
153c4762a1bSJed Brown 
154c4762a1bSJed Brown /* Sets the parameters for induction generator */
155c4762a1bSJed Brown PetscErrorCode SetInductionGeneratorParams(AppCtx *user)
156c4762a1bSJed Brown {
157c4762a1bSJed Brown   PetscFunctionBegin;
158c4762a1bSJed Brown   user->np = 4;
159c4762a1bSJed Brown   user->Xm = 3.0;
160c4762a1bSJed Brown   user->Xs = 0.1;
161c4762a1bSJed Brown   user->Xr = 0.08;
162c4762a1bSJed Brown   user->Rs = 0.01;
163c4762a1bSJed Brown   user->Rr = 0.01;
164c4762a1bSJed Brown   user->Xp = user->Xs + user->Xm*user->Xr/(user->Xm + user->Xr);
165c4762a1bSJed Brown   user->Hm = 1.0;
166c4762a1bSJed Brown   user->Te = 0.011063063063251968;
167c4762a1bSJed Brown   PetscFunctionReturn(0);
168c4762a1bSJed Brown }
169c4762a1bSJed Brown 
170c4762a1bSJed Brown /* Computes the power extracted from wind */
171c4762a1bSJed Brown PetscErrorCode GetWindPower(PetscScalar wm,PetscScalar vw,PetscScalar *Pw,AppCtx *user)
172c4762a1bSJed Brown {
173c4762a1bSJed Brown   PetscScalar temp,lambda,lambda_i,cp;
174c4762a1bSJed Brown 
175c4762a1bSJed Brown   PetscFunctionBegin;
176c4762a1bSJed Brown   temp     = user->nGB*2*user->Rt*ws/user->np;
177c4762a1bSJed Brown   lambda   = temp*wm/vw;
178c4762a1bSJed Brown   lambda_i = 1/(1/lambda + 0.002);
179c4762a1bSJed Brown   cp       = 0.44*(125/lambda_i - 6.94)*PetscExpScalar(-16.5/lambda_i);
180c4762a1bSJed Brown   *Pw      = 0.5*user->rho*cp*user->Ar*vw*vw*vw/(MVAbase*1e6);
181c4762a1bSJed Brown   PetscFunctionReturn(0);
182c4762a1bSJed Brown }
183c4762a1bSJed Brown 
184c4762a1bSJed Brown /*
185c4762a1bSJed Brown      Defines the ODE passed to the ODE solver
186c4762a1bSJed Brown */
187c4762a1bSJed Brown static PetscErrorCode IFunction(TS ts,PetscReal t,Vec U,Vec Udot,Vec F,AppCtx *user)
188c4762a1bSJed Brown {
189c4762a1bSJed Brown   PetscErrorCode    ierr;
190c4762a1bSJed Brown   PetscScalar       *f,wm,Pw,*wd;
191c4762a1bSJed Brown   const PetscScalar *u,*udot;
192c4762a1bSJed Brown   PetscInt          stepnum;
193c4762a1bSJed Brown 
194c4762a1bSJed Brown   PetscFunctionBegin;
195c4762a1bSJed Brown   ierr = TSGetStepNumber(ts,&stepnum);CHKERRQ(ierr);
196c4762a1bSJed Brown   /*  The next three lines allow us to access the entries of the vectors directly */
197c4762a1bSJed Brown   ierr = VecGetArrayRead(U,&u);CHKERRQ(ierr);
198c4762a1bSJed Brown   ierr = VecGetArrayRead(Udot,&udot);CHKERRQ(ierr);
199c4762a1bSJed Brown   ierr = VecGetArray(F,&f);CHKERRQ(ierr);
200c4762a1bSJed Brown   ierr = VecGetArray(user->wind_data,&wd);CHKERRQ(ierr);
201c4762a1bSJed Brown 
202c4762a1bSJed Brown   f[0] = user->Tw*udot[0] - wd[stepnum] + u[0];
203c4762a1bSJed Brown   wm   = 1-u[1];
204c4762a1bSJed Brown   ierr = GetWindPower(wm,u[0],&Pw,user);CHKERRQ(ierr);
205c4762a1bSJed Brown   f[1] = 2.0*(user->Ht+user->Hm)*udot[1] - Pw/wm + user->Te;
206c4762a1bSJed Brown 
207c4762a1bSJed Brown   ierr = VecRestoreArray(user->wind_data,&wd);CHKERRQ(ierr);
208c4762a1bSJed Brown   ierr = VecRestoreArrayRead(U,&u);CHKERRQ(ierr);
209c4762a1bSJed Brown   ierr = VecRestoreArrayRead(Udot,&udot);CHKERRQ(ierr);
210c4762a1bSJed Brown   ierr = VecRestoreArray(F,&f);CHKERRQ(ierr);
211c4762a1bSJed Brown   PetscFunctionReturn(0);
212c4762a1bSJed Brown }
213c4762a1bSJed Brown 
214c4762a1bSJed Brown int main(int argc,char **argv)
215c4762a1bSJed Brown {
216c4762a1bSJed Brown   TS                ts;            /* ODE integrator */
217c4762a1bSJed Brown   Vec               U;             /* solution will be stored here */
218c4762a1bSJed Brown   Mat               A;             /* Jacobian matrix */
219c4762a1bSJed Brown   PetscErrorCode    ierr;
220c4762a1bSJed Brown   PetscMPIInt       size;
221c4762a1bSJed Brown   PetscInt          n = 2,idx;
222c4762a1bSJed Brown   AppCtx            user;
223c4762a1bSJed Brown   PetscScalar       *u;
224c4762a1bSJed Brown   SNES              snes;
225c4762a1bSJed Brown   PetscScalar       *mat;
226c4762a1bSJed Brown   const PetscScalar *x,*rmat;
227c4762a1bSJed Brown   Mat               B;
228c4762a1bSJed Brown   PetscScalar       *amat;
229c4762a1bSJed Brown   PetscViewer       viewer;
230c4762a1bSJed Brown 
231c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
232c4762a1bSJed Brown      Initialize program
233c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
234c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
235ffc4695bSBarry Smith   ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRMPI(ierr);
236*3c633725SBarry Smith   PetscCheck(size == 1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"Only for sequential runs");
237c4762a1bSJed Brown 
238c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
239c4762a1bSJed Brown     Create necessary matrix and vectors
240c4762a1bSJed Brown     - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
241c4762a1bSJed Brown   ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
242c4762a1bSJed Brown   ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
243c4762a1bSJed Brown   ierr = MatSetFromOptions(A);CHKERRQ(ierr);
244c4762a1bSJed Brown   ierr = MatSetUp(A);CHKERRQ(ierr);
245c4762a1bSJed Brown 
246c4762a1bSJed Brown   ierr = MatCreateVecs(A,&U,NULL);CHKERRQ(ierr);
247c4762a1bSJed Brown 
248c4762a1bSJed Brown   /* Create wind speed data using Weibull distribution */
249c4762a1bSJed Brown   ierr = WindSpeeds(&user);CHKERRQ(ierr);
250c4762a1bSJed Brown   /* Set parameters for wind turbine and induction generator */
251c4762a1bSJed Brown   ierr = SetWindTurbineParams(&user);CHKERRQ(ierr);
252c4762a1bSJed Brown   ierr = SetInductionGeneratorParams(&user);CHKERRQ(ierr);
253c4762a1bSJed Brown 
254c4762a1bSJed Brown   ierr = VecGetArray(U,&u);CHKERRQ(ierr);
255c4762a1bSJed Brown   u[0] = vwa;
256c4762a1bSJed Brown   u[1] = s;
257c4762a1bSJed Brown   ierr = VecRestoreArray(U,&u);CHKERRQ(ierr);
258c4762a1bSJed Brown 
259c4762a1bSJed Brown   /* Create matrix to save solutions at each time step */
260c4762a1bSJed Brown   user.stepnum = 0;
261c4762a1bSJed Brown 
262c4762a1bSJed Brown   ierr = MatCreateSeqDense(PETSC_COMM_SELF,3,2010,NULL,&user.Sol);CHKERRQ(ierr);
263c4762a1bSJed Brown 
264c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
265c4762a1bSJed Brown      Create timestepping solver context
266c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
267c4762a1bSJed Brown   ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
268c4762a1bSJed Brown   ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
269c4762a1bSJed Brown   ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
270c4762a1bSJed Brown   ierr = TSSetIFunction(ts,NULL,(TSIFunction) IFunction,&user);CHKERRQ(ierr);
271c4762a1bSJed Brown 
272c4762a1bSJed Brown   ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr);
273c4762a1bSJed Brown   ierr = SNESSetJacobian(snes,A,A,SNESComputeJacobianDefault,NULL);CHKERRQ(ierr);
274c4762a1bSJed Brown   /*  ierr = TSSetIJacobian(ts,A,A,(TSIJacobian)IJacobian,&user);CHKERRQ(ierr); */
275c4762a1bSJed Brown   ierr = TSSetApplicationContext(ts,&user);CHKERRQ(ierr);
276c4762a1bSJed Brown 
277c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
278c4762a1bSJed Brown      Set initial conditions
279c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
280c4762a1bSJed Brown   ierr = TSSetSolution(ts,U);CHKERRQ(ierr);
281c4762a1bSJed Brown 
282c4762a1bSJed Brown   /* Save initial solution */
283c4762a1bSJed Brown   idx=3*user.stepnum;
284c4762a1bSJed Brown 
285c4762a1bSJed Brown   ierr = MatDenseGetArray(user.Sol,&mat);CHKERRQ(ierr);
286c4762a1bSJed Brown   ierr = VecGetArrayRead(U,&x);CHKERRQ(ierr);
287c4762a1bSJed Brown 
288c4762a1bSJed Brown   mat[idx] = 0.0;
289c4762a1bSJed Brown 
290c4762a1bSJed Brown   ierr = PetscArraycpy(mat+idx+1,x,2);CHKERRQ(ierr);
291c4762a1bSJed Brown   ierr = MatDenseRestoreArray(user.Sol,&mat);CHKERRQ(ierr);
292c4762a1bSJed Brown   ierr = VecRestoreArrayRead(U,&x);CHKERRQ(ierr);
293c4762a1bSJed Brown   user.stepnum++;
294c4762a1bSJed Brown 
295c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
296c4762a1bSJed Brown      Set solver options
297c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
298c4762a1bSJed Brown   ierr = TSSetMaxTime(ts,20.0);CHKERRQ(ierr);
299c4762a1bSJed Brown   ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr);
300c4762a1bSJed Brown   ierr = TSSetTimeStep(ts,.01);CHKERRQ(ierr);
301c4762a1bSJed Brown   ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
302c4762a1bSJed Brown   ierr = TSSetPostStep(ts,SaveSolution);CHKERRQ(ierr);
303c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
304c4762a1bSJed Brown      Solve nonlinear system
305c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
306c4762a1bSJed Brown   ierr = TSSolve(ts,U);CHKERRQ(ierr);
307c4762a1bSJed Brown 
308c4762a1bSJed Brown   ierr = MatCreateSeqDense(PETSC_COMM_SELF,3,user.stepnum,NULL,&B);CHKERRQ(ierr);
309c4762a1bSJed Brown   ierr = MatDenseGetArrayRead(user.Sol,&rmat);CHKERRQ(ierr);
310c4762a1bSJed Brown   ierr = MatDenseGetArray(B,&amat);CHKERRQ(ierr);
311c4762a1bSJed Brown   ierr = PetscArraycpy(amat,rmat,user.stepnum*3);CHKERRQ(ierr);
312c4762a1bSJed Brown   ierr = MatDenseRestoreArray(B,&amat);CHKERRQ(ierr);
313c4762a1bSJed Brown   ierr = MatDenseRestoreArrayRead(user.Sol,&rmat);CHKERRQ(ierr);
314c4762a1bSJed Brown 
315c4762a1bSJed Brown   ierr = PetscViewerBinaryOpen(PETSC_COMM_SELF,"out.bin",FILE_MODE_WRITE,&viewer);CHKERRQ(ierr);
316c4762a1bSJed Brown   ierr = MatView(B,viewer);CHKERRQ(ierr);
317c4762a1bSJed Brown   ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
318c4762a1bSJed Brown   ierr = MatDestroy(&user.Sol);CHKERRQ(ierr);
319c4762a1bSJed Brown   ierr = MatDestroy(&B);CHKERRQ(ierr);
320c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
321c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they are no longer needed.
322c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
323c4762a1bSJed Brown   ierr = VecDestroy(&user.wind_data);CHKERRQ(ierr);
324c4762a1bSJed Brown   ierr = VecDestroy(&user.t_wind);CHKERRQ(ierr);
325c4762a1bSJed Brown   ierr = MatDestroy(&A);CHKERRQ(ierr);
326c4762a1bSJed Brown   ierr = VecDestroy(&U);CHKERRQ(ierr);
327c4762a1bSJed Brown   ierr = TSDestroy(&ts);CHKERRQ(ierr);
328c4762a1bSJed Brown 
329c4762a1bSJed Brown   ierr = PetscFinalize();
330c4762a1bSJed Brown   return ierr;
331c4762a1bSJed Brown }
332c4762a1bSJed Brown 
333c4762a1bSJed Brown /*TEST
334c4762a1bSJed Brown 
335c4762a1bSJed Brown    build:
336c4762a1bSJed Brown       requires: !complex
337c4762a1bSJed Brown 
338c4762a1bSJed Brown    test:
339c4762a1bSJed Brown 
340c4762a1bSJed Brown TEST*/
341