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nkoukpaizanactions-user
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Apply pre-commmit fixes
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-15
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-15
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src/LinearAlgebra/SparsityPattern/Variable.hpp

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@@ -13,6 +13,7 @@
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#include <map>
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#include <string>
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#include <vector>
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#include <ScalarTraits.hpp>
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namespace GridKit

src/Model/PhasorDynamics/BusBase.hpp

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@@ -2,8 +2,8 @@
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#include <vector>
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#include <Model/Evaluator.hpp>
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#include <LinearAlgebra/SparsityPattern/Variable.hpp>
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#include <Model/Evaluator.hpp>
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namespace GridKit
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{

tests/UnitTests/PhasorDynamics/BranchTests.hpp

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@@ -81,7 +81,7 @@ namespace GridKit
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TestOutcome jacobian()
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{
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TestStatus success = true;
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real_type R{2.0}; ///< Branch series resistance
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real_type X{4.0}; ///< Branch series reactance
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real_type G{0.2}; ///< Branch shunt conductance
@@ -91,7 +91,7 @@ namespace GridKit
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Sparse::Variable Vi1{20.0}; ///< Bus-1 imaginary voltage
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Sparse::Variable Vr2{30.0}; ///< Bus-2 real voltage
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Sparse::Variable Vi2{40.0}; ///< Bus-2 imaginary voltage
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Vr1.setVariableNumber(0); ///< Independent variables: first
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Vi1.setVariableNumber(1); ///< Independent variables: second
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Vr2.setVariableNumber(2); ///< Independent variables: third
@@ -101,17 +101,17 @@ namespace GridKit
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PhasorDynamics::BusInfinite<Sparse::Variable, IdxT> bus2(Vr2, Vi2);
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PhasorDynamics::Branch<Sparse::Variable, IdxT> branch(&bus1, &bus2, R, X, G, B);
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branch.evaluateResidual(); ///< Computes the residual and the Jacobian values by tracking
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branch.evaluateResidual(); ///< Computes the residual and the Jacobian values by tracking
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///< the dependencies
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std::vector<Sparse::Variable> residuals{bus1.Ir(), bus1.Ii(), bus2.Ir(), bus2.Ii()};
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std::vector<Sparse::Variable> residuals{bus1.Ir(), bus1.Ii(), bus2.Ir(), bus2.Ii()};
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std::vector<Sparse::Variable::DependencyMap> ref = analyticalJacobian(R, X, G, B);
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for (size_t i = 0; i < residuals.size(); ++i)
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{
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Sparse::Variable res = residuals[i];
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const Sparse::Variable::DependencyMap& dependencies = res.getDependencies();
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success *= (dependencies == ref[i]); ///< Compare dependencies computed automatically
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///< to the ones computed analytically
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Sparse::Variable res = residuals[i];
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const Sparse::Variable::DependencyMap& dependencies = res.getDependencies();
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success *= (dependencies == ref[i]); ///< Compare dependencies computed automatically
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///< to the ones computed analytically
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}
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return success.report(__func__);
@@ -179,6 +179,7 @@ namespace GridKit
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return success.report(__func__);
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}
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private:
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std::vector<Sparse::Variable::DependencyMap> analyticalJacobian(const real_type R,
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const real_type X,
@@ -187,23 +188,23 @@ namespace GridKit
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{
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const real_type b = -X / (R * R + X * X);
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const real_type g = R / (R * R + X * X);
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real_type dIr1_dVr1 = -(g + 0.5 * G);
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real_type dIr1_dVi1 = (b + 0.5 * B);
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real_type dIr1_dVr2 = g;
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real_type dIr1_dVi2 = -b;
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real_type dIi1_dVr1 = -(b + 0.5 * B);
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real_type dIi1_dVr1 = -(b + 0.5 * B);
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real_type dIi1_dVi1 = -(g + 0.5 * G);
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real_type dIi1_dVr2 = b;
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real_type dIi1_dVi2 = g;
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real_type dIr2_dVr1 = g;
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real_type dIr2_dVr1 = g;
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real_type dIr2_dVi1 = -b;
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real_type dIr2_dVr2 = -(g + 0.5 * G);
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real_type dIr2_dVi2 = (b + 0.5 * B);
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real_type dIi2_dVr1 = b;
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real_type dIi2_dVr1 = b;
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real_type dIi2_dVi1 = g;
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real_type dIi2_dVr2 = -(b + 0.5 * B);
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real_type dIi2_dVi2 = -(g + 0.5 * G);

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