static char help[] = "Basic equation for an induction generator driven by a wind turbine.\n"; /*F \begin{eqnarray} T_w\frac{dv_w}{dt} & = & v_w - v_we \\ 2(H_t+H_m)\frac{ds}{dt} & = & P_w - P_e \end{eqnarray} F*/ /* - Pw is the power extracted from the wind turbine given by Pw = 0.5*\rho*cp*Ar*vw^3 - The wind speed time series is modeled using a Weibull distribution and then passed through a low pass filter (with time constant T_w). - v_we is the wind speed data calculated using Weibull distribution while v_w is the output of the filter. - P_e is assumed as constant electrical torque - This example does not work with adaptive time stepping! Reference: Power System Modeling and Scripting - F. Milano */ /*T T*/ #include #define freq 50 #define ws (2*PETSC_PI*freq) #define MVAbase 100 typedef struct { /* Parameters for wind speed model */ PetscInt nsamples; /* Number of wind samples */ PetscReal cw; /* Scale factor for Weibull distribution */ PetscReal kw; /* Shape factor for Weibull distribution */ Vec wind_data; /* Vector to hold wind speeds */ Vec t_wind; /* Vector to hold wind speed times */ PetscReal Tw; /* Filter time constant */ /* Wind turbine parameters */ PetscScalar Rt; /* Rotor radius */ PetscScalar Ar; /* Area swept by rotor (pi*R*R) */ PetscReal nGB; /* Gear box ratio */ PetscReal Ht; /* Turbine inertia constant */ PetscReal rho; /* Atmospheric pressure */ /* Induction generator parameters */ PetscInt np; /* Number of poles */ PetscReal Xm; /* Magnetizing reactance */ PetscReal Xs; /* Stator Reactance */ PetscReal Xr; /* Rotor reactance */ PetscReal Rs; /* Stator resistance */ PetscReal Rr; /* Rotor resistance */ PetscReal Hm; /* Motor inertia constant */ PetscReal Xp; /* Xs + Xm*Xr/(Xm + Xr) */ PetscScalar Te; /* Electrical Torque */ Mat Sol; /* Solution matrix */ PetscInt stepnum; /* Column number of solution matrix */ } AppCtx; /* Initial values computed by Power flow and initialization */ PetscScalar s = -0.00011577790353; /*Pw = 0.011064344110238; %Te*wm */ PetscScalar vwa = 22.317142184449754; PetscReal tmax = 20.0; /* Saves the solution at each time to a matrix */ PetscErrorCode SaveSolution(TS ts) { PetscErrorCode ierr; AppCtx *user; Vec X; PetscScalar *mat; const PetscScalar *x; PetscInt idx; PetscReal t; PetscFunctionBegin; ierr = TSGetApplicationContext(ts,&user);CHKERRQ(ierr); ierr = TSGetTime(ts,&t);CHKERRQ(ierr); ierr = TSGetSolution(ts,&X);CHKERRQ(ierr); idx = 3*user->stepnum; ierr = MatDenseGetArray(user->Sol,&mat);CHKERRQ(ierr); ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr); mat[idx] = t; ierr = PetscArraycpy(mat+idx+1,x,2);CHKERRQ(ierr); ierr = MatDenseRestoreArray(user->Sol,&mat);CHKERRQ(ierr); ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr); user->stepnum++; PetscFunctionReturn(0); } /* Computes the wind speed using Weibull distribution */ PetscErrorCode WindSpeeds(AppCtx *user) { PetscErrorCode ierr; PetscScalar *x,*t,avg_dev,sum; PetscInt i; PetscFunctionBegin; user->cw = 5; user->kw = 2; /* Rayleigh distribution */ user->nsamples = 2000; user->Tw = 0.2; ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Wind Speed Options","");CHKERRQ(ierr); { ierr = PetscOptionsReal("-cw","","",user->cw,&user->cw,NULL);CHKERRQ(ierr); ierr = PetscOptionsReal("-kw","","",user->kw,&user->kw,NULL);CHKERRQ(ierr); ierr = PetscOptionsInt("-nsamples","","",user->nsamples,&user->nsamples,NULL);CHKERRQ(ierr); ierr = PetscOptionsReal("-Tw","","",user->Tw,&user->Tw,NULL);CHKERRQ(ierr); } ierr = PetscOptionsEnd();CHKERRQ(ierr); ierr = VecCreate(PETSC_COMM_WORLD,&user->wind_data);CHKERRQ(ierr); ierr = VecSetSizes(user->wind_data,PETSC_DECIDE,user->nsamples);CHKERRQ(ierr); ierr = VecSetFromOptions(user->wind_data);CHKERRQ(ierr); ierr = VecDuplicate(user->wind_data,&user->t_wind);CHKERRQ(ierr); ierr = VecGetArray(user->t_wind,&t);CHKERRQ(ierr); for (i=0; i < user->nsamples; i++) t[i] = (i+1)*tmax/user->nsamples; ierr = VecRestoreArray(user->t_wind,&t);CHKERRQ(ierr); /* Wind speed deviation = (-log(rand)/cw)^(1/kw) */ ierr = VecSetRandom(user->wind_data,NULL);CHKERRQ(ierr); ierr = VecLog(user->wind_data);CHKERRQ(ierr); ierr = VecScale(user->wind_data,-1/user->cw);CHKERRQ(ierr); ierr = VecGetArray(user->wind_data,&x);CHKERRQ(ierr); for (i=0;i < user->nsamples;i++) x[i] = PetscPowScalar(x[i],(1/user->kw)); ierr = VecRestoreArray(user->wind_data,&x);CHKERRQ(ierr); ierr = VecSum(user->wind_data,&sum);CHKERRQ(ierr); avg_dev = sum/user->nsamples; /* Wind speed (t) = (1 + wind speed deviation(t) - avg_dev)*average wind speed */ ierr = VecShift(user->wind_data,(1-avg_dev));CHKERRQ(ierr); ierr = VecScale(user->wind_data,vwa);CHKERRQ(ierr); PetscFunctionReturn(0); } /* Sets the parameters for wind turbine */ PetscErrorCode SetWindTurbineParams(AppCtx *user) { PetscFunctionBegin; user->Rt = 35; user->Ar = PETSC_PI*user->Rt*user->Rt; user->nGB = 1.0/89.0; user->rho = 1.225; user->Ht = 1.5; PetscFunctionReturn(0); } /* Sets the parameters for induction generator */ PetscErrorCode SetInductionGeneratorParams(AppCtx *user) { PetscFunctionBegin; user->np = 4; user->Xm = 3.0; user->Xs = 0.1; user->Xr = 0.08; user->Rs = 0.01; user->Rr = 0.01; user->Xp = user->Xs + user->Xm*user->Xr/(user->Xm + user->Xr); user->Hm = 1.0; user->Te = 0.011063063063251968; PetscFunctionReturn(0); } /* Computes the power extracted from wind */ PetscErrorCode GetWindPower(PetscScalar wm,PetscScalar vw,PetscScalar *Pw,AppCtx *user) { PetscScalar temp,lambda,lambda_i,cp; PetscFunctionBegin; temp = user->nGB*2*user->Rt*ws/user->np; lambda = temp*wm/vw; lambda_i = 1/(1/lambda + 0.002); cp = 0.44*(125/lambda_i - 6.94)*PetscExpScalar(-16.5/lambda_i); *Pw = 0.5*user->rho*cp*user->Ar*vw*vw*vw/(MVAbase*1e6); PetscFunctionReturn(0); } /* Defines the ODE passed to the ODE solver */ static PetscErrorCode IFunction(TS ts,PetscReal t,Vec U,Vec Udot,Vec F,AppCtx *user) { PetscErrorCode ierr; PetscScalar *f,wm,Pw,*wd; const PetscScalar *u,*udot; PetscInt stepnum; PetscFunctionBegin; ierr = TSGetStepNumber(ts,&stepnum);CHKERRQ(ierr); /* The next three lines allow us to access the entries of the vectors directly */ ierr = VecGetArrayRead(U,&u);CHKERRQ(ierr); ierr = VecGetArrayRead(Udot,&udot);CHKERRQ(ierr); ierr = VecGetArray(F,&f);CHKERRQ(ierr); ierr = VecGetArray(user->wind_data,&wd);CHKERRQ(ierr); f[0] = user->Tw*udot[0] - wd[stepnum] + u[0]; wm = 1-u[1]; ierr = GetWindPower(wm,u[0],&Pw,user);CHKERRQ(ierr); f[1] = 2.0*(user->Ht+user->Hm)*udot[1] - Pw/wm + user->Te; ierr = VecRestoreArray(user->wind_data,&wd);CHKERRQ(ierr); ierr = VecRestoreArrayRead(U,&u);CHKERRQ(ierr); ierr = VecRestoreArrayRead(Udot,&udot);CHKERRQ(ierr); ierr = VecRestoreArray(F,&f);CHKERRQ(ierr); PetscFunctionReturn(0); } int main(int argc,char **argv) { TS ts; /* ODE integrator */ Vec U; /* solution will be stored here */ Mat A; /* Jacobian matrix */ PetscErrorCode ierr; PetscMPIInt size; PetscInt n = 2,idx; AppCtx user; PetscScalar *u; SNES snes; PetscScalar *mat; const PetscScalar *x,*rmat; Mat B; PetscScalar *amat; PetscViewer viewer; /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Initialize program - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr; ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRMPI(ierr); PetscCheckFalse(size > 1,PETSC_COMM_WORLD,PETSC_ERR_SUP,"Only for sequential runs"); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create necessary matrix and vectors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr); ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); ierr = MatSetFromOptions(A);CHKERRQ(ierr); ierr = MatSetUp(A);CHKERRQ(ierr); ierr = MatCreateVecs(A,&U,NULL);CHKERRQ(ierr); /* Create wind speed data using Weibull distribution */ ierr = WindSpeeds(&user);CHKERRQ(ierr); /* Set parameters for wind turbine and induction generator */ ierr = SetWindTurbineParams(&user);CHKERRQ(ierr); ierr = SetInductionGeneratorParams(&user);CHKERRQ(ierr); ierr = VecGetArray(U,&u);CHKERRQ(ierr); u[0] = vwa; u[1] = s; ierr = VecRestoreArray(U,&u);CHKERRQ(ierr); /* Create matrix to save solutions at each time step */ user.stepnum = 0; ierr = MatCreateSeqDense(PETSC_COMM_SELF,3,2010,NULL,&user.Sol);CHKERRQ(ierr); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create timestepping solver context - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr); ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr); ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr); ierr = TSSetIFunction(ts,NULL,(TSIFunction) IFunction,&user);CHKERRQ(ierr); ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr); ierr = SNESSetJacobian(snes,A,A,SNESComputeJacobianDefault,NULL);CHKERRQ(ierr); /* ierr = TSSetIJacobian(ts,A,A,(TSIJacobian)IJacobian,&user);CHKERRQ(ierr); */ ierr = TSSetApplicationContext(ts,&user);CHKERRQ(ierr); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set initial conditions - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ ierr = TSSetSolution(ts,U);CHKERRQ(ierr); /* Save initial solution */ idx=3*user.stepnum; ierr = MatDenseGetArray(user.Sol,&mat);CHKERRQ(ierr); ierr = VecGetArrayRead(U,&x);CHKERRQ(ierr); mat[idx] = 0.0; ierr = PetscArraycpy(mat+idx+1,x,2);CHKERRQ(ierr); ierr = MatDenseRestoreArray(user.Sol,&mat);CHKERRQ(ierr); ierr = VecRestoreArrayRead(U,&x);CHKERRQ(ierr); user.stepnum++; /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set solver options - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ ierr = TSSetMaxTime(ts,20.0);CHKERRQ(ierr); ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr); ierr = TSSetTimeStep(ts,.01);CHKERRQ(ierr); ierr = TSSetFromOptions(ts);CHKERRQ(ierr); ierr = TSSetPostStep(ts,SaveSolution);CHKERRQ(ierr); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Solve nonlinear system - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ ierr = TSSolve(ts,U);CHKERRQ(ierr); ierr = MatCreateSeqDense(PETSC_COMM_SELF,3,user.stepnum,NULL,&B);CHKERRQ(ierr); ierr = MatDenseGetArrayRead(user.Sol,&rmat);CHKERRQ(ierr); ierr = MatDenseGetArray(B,&amat);CHKERRQ(ierr); ierr = PetscArraycpy(amat,rmat,user.stepnum*3);CHKERRQ(ierr); ierr = MatDenseRestoreArray(B,&amat);CHKERRQ(ierr); ierr = MatDenseRestoreArrayRead(user.Sol,&rmat);CHKERRQ(ierr); ierr = PetscViewerBinaryOpen(PETSC_COMM_SELF,"out.bin",FILE_MODE_WRITE,&viewer);CHKERRQ(ierr); ierr = MatView(B,viewer);CHKERRQ(ierr); ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr); ierr = MatDestroy(&user.Sol);CHKERRQ(ierr); ierr = MatDestroy(&B);CHKERRQ(ierr); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Free work space. All PETSc objects should be destroyed when they are no longer needed. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ ierr = VecDestroy(&user.wind_data);CHKERRQ(ierr); ierr = VecDestroy(&user.t_wind);CHKERRQ(ierr); ierr = MatDestroy(&A);CHKERRQ(ierr); ierr = VecDestroy(&U);CHKERRQ(ierr); ierr = TSDestroy(&ts);CHKERRQ(ierr); ierr = PetscFinalize(); return ierr; } /*TEST build: requires: !complex test: TEST*/