private void BuildMatrices(Network network)
{
// Create the current measurement bus incidence matrix
ComplexMatrix A = (new CurrentFlowMeasurementBusIncidenceMatrix(network)).Matrix;
// Create the series admittance matrix
ComplexMatrix Y = (new SeriesAdmittanceMatrix(network)).Matrix;
// Create the shunt susceptance matrix
ComplexMatrix Ys = (new LineShuntSusceptanceMatrix(network)).Matrix;
// Compute the lower partition of the system matrix
ComplexMatrix K = Y * A + Ys;
List <int> rowsToBeRemoved = RowsToRemove(network);
int numberOfRowsToBeRemoved = rowsToBeRemoved.Count();
for (int i = 0; i < numberOfRowsToBeRemoved; i++)
{
int rowToRemove = rowsToBeRemoved.Max();
K = MatrixCalculationExtensions.RemoveRow(K, rowToRemove);
rowsToBeRemoved.Remove(rowToRemove);
}
List <int> columnsToBeRemoved = ColumnsToRemove(network);
int numberOfColumnsToBeRemoved = columnsToBeRemoved.Count();
for (int i = 0; i < numberOfColumnsToBeRemoved; i++)
{
int columnToRemove = columnsToBeRemoved.Max();
K = MatrixCalculationExtensions.RemoveColumn(K, columnToRemove);
columnsToBeRemoved.Remove(columnToRemove);
}
}
/* Conduct pi section CTPT calibration of single line*/
public int SingleLineCTPT(string LineID, Complex KV1, int FromBusNumber, TextBox textBoxMessages) //ALso need Complex KV1, Complex[,] Z
{
int CurrentToBus = 0;
CurrentToBus = GetLineVI(LineID, FromBusNumber);
bool ImpedanceAvailable = GetLineZ(LineID);
if (!ImpedanceAvailable)
{
textBoxMessages.AppendLine("Calibration FAILED due to lack of Impedance data.\n");
return(0);
}
Complex KI1 = new Complex();
Complex KV2 = new Complex();
Complex KI2 = new Complex();
//Find the sample sets 30 samples per second, 60 seconds in all => 30 sets of samples, 60 samples per set, rule out -9999
int i = 0; //set number
int feasible_flag = 0; //estimation feasible indicator, shows missing data quantity, if too large then the estimation is not feasible
Complex[] Zhat11 = new Complex[30];
Complex[] Zhat12 = new Complex[30];
Complex[] Zhat21 = new Complex[30];
Complex[] Zhat22 = new Complex[30];
int SecondsNumber = (int)Math.Floor((double)(m_V1.Count() / 30));
while (i < 30)
{
//get samples
Complex[,] V_sample_temp = new Complex[SecondsNumber, 2];
Complex[,] I_sample_temp = new Complex[SecondsNumber, 2];
//Complex[] V2_sample_temp = new Complex[60];
//Complex[] I2_sample_temp = new Complex[60];
int current_row = 0;
for (int j = 0; j < SecondsNumber; j++)
{
current_row = j * 30 + i;
if ((m_V1[current_row] != -9999) && (m_I1[current_row] != -9999) && (m_V2[current_row] != -9999) && (m_I2[current_row] != -9999))
{
V_sample_temp[j, 0] = m_V1[current_row];
I_sample_temp[j, 0] = m_I1[current_row];
V_sample_temp[j, 1] = m_V2[current_row];
I_sample_temp[j, 1] = m_I2[current_row];
}
else
{
V_sample_temp[j, 0] = -9999;
I_sample_temp[j, 0] = -9999;
V_sample_temp[j, 1] = -9999;
I_sample_temp[j, 1] = -9999;
}
}
//transfer into matrix mode
Complex initial = 0;
DenseMatrix Vhat = DenseMatrix.Create(2, 1, initial);
DenseMatrix Ihat = DenseMatrix.Create(2, 1, initial);
for (int k = 0; k < SecondsNumber; k++)
{
if ((V_sample_temp[k, 0] != -9999) && (V_sample_temp[k, 0] != null))
{
Complex[,] V_temp_array = new Complex[2, 1];
V_temp_array[0, 0] = V_sample_temp[k, 0];
V_temp_array[1, 0] = V_sample_temp[k, 1];
DenseMatrix V_temp = DenseMatrix.OfArray(V_temp_array);
Complex[,] I_temp_array = new Complex[2, 1];
I_temp_array[0, 0] = I_sample_temp[k, 0];
I_temp_array[1, 0] = I_sample_temp[k, 1];
DenseMatrix I_temp = DenseMatrix.OfArray(I_temp_array);
if ((Vhat != null) && (V_temp != null) && (Ihat != null) && (I_temp != null))
{
if (Vhat[0, 0] == 0)
{
Vhat = V_temp;
Ihat = I_temp;
}
else
{
Vhat = MatrixCalculationExtensions.HorizontallyConcatenate(Vhat, V_temp);
Ihat = MatrixCalculationExtensions.HorizontallyConcatenate(Ihat, I_temp);
}
}
}
}
//check sample quantity, enough to do estimation or not
if (Vhat.ColumnCount < 20)
{
feasible_flag += 1;
i += 1;
continue;
}
else
{
Matrix <Complex> Vhat_T = Vhat.Transpose();
Matrix <Complex> Ihat_T = Ihat.Transpose();
if (Vhat_T.RowCount > Ihat_T.RowCount)
{
int a = 1;
}
//estimate Zhat
Matrix <Complex> Zhat_temp = null;
Zhat_temp = LeastSquareEstimation(Vhat_T, Ihat_T);// Ihat_T.Transpose().Multiply(Ihat_T).Inverse().Multiply(Ihat_T.Transpose()).Multiply(Vhat_T);
Zhat11[i] = Zhat_temp[0, 0];
Zhat12[i] = Zhat_temp[0, 1];
Zhat21[i] = Zhat_temp[1, 0];
Zhat22[i] = Zhat_temp[1, 1];
//Zhat12[i] = Zhat_temp[1, 0];
//Zhat21[i] = Zhat_temp[0, 1];
}
i += 1;
}
// Take average of Zhat to eliminate PMU error, if there is enough estimation results
Complex from_bus_number = FromBusNumber;
Complex to_bus_number = CurrentToBus;
int from_bus_number_int = FromBusNumber;
int to_bus_number_int = CurrentToBus;
if (feasible_flag < 15)
{
//Complex[] KI1_hat = new Complex[30];
//Complex[] KV2_hat = new Complex[30];
//Complex[] KI2_hat = new Complex[30];
//Complex KI1_hat_sum = new Complex();
//Complex KV2_hat_sum = new Complex();
//Complex KI2_hat_sum = new Complex();
//int valid_results_count = 0;
//for (int l = 0; l < 30; l++)
//{
// KI1_hat[l] = Zhat11[l] / m_Z[0, 0] * KV1;
// KV2_hat[l] = m_Z[1, 0] / Zhat12[l] * KI1_hat[l]; // Note that the estimated Zhat has been transposed, even though the matrix is symmetric, it should be transposed back for definition causes
// KI2_hat[l] = Zhat21[l] / m_Z[0, 1] * KV1;
// //if ((KI1_hat[l].Real < 2) && (KI1_hat[l].Real > 0))
// //{
// KI1_hat_sum = KI1_hat_sum + KI1_hat[l];
// KV2_hat_sum = KV2_hat_sum + KV2_hat[l];
// KI2_hat_sum = KI2_hat_sum + KI2_hat[l];
// valid_results_count += 1;
// //}
//}
//KI1 = KI1_hat_sum / valid_results_count;
//KV2 = KV2_hat_sum / valid_results_count;
//KI2 = KI2_hat_sum / valid_results_count;
for (int l = 0; l < 30; l++)
{
m_Zhat[0, 0] = m_Zhat[0, 0] + Zhat11[l];
m_Zhat[0, 1] = m_Zhat[0, 1] + Zhat12[l];
m_Zhat[1, 0] = m_Zhat[1, 0] + Zhat21[l];
m_Zhat[1, 1] = m_Zhat[1, 1] + Zhat22[l];
}
m_Zhat[0, 0] = m_Zhat[0, 0] / (30 - feasible_flag);
m_Zhat[0, 1] = m_Zhat[0, 1] / (30 - feasible_flag);
m_Zhat[1, 0] = m_Zhat[1, 0] / (30 - feasible_flag);
m_Zhat[1, 1] = m_Zhat[1, 1] / (30 - feasible_flag);
KI1 = m_Zhat[0, 0] / m_Z[0, 0] * KV1;
KV2 = m_Z[1, 0] / m_Zhat[0, 1] * KI1; // Note that the estimated Zhat has been transposed, even though the matrix is symmetric, it should be transposed back for definition causes
KI2 = m_Zhat[1, 0] / m_Z[0, 1] * KV1;
//adding the computation results to K matrix and record KVs for both from_bus and to_bus for future calibrations
int m = 0;
while (m_K[m, 0] != 0)
{
m += 1;
}
int Line_ID_int = Convert.ToInt32(LineID);
m_K[m, 0] = Line_ID_int;
m_K[m, 1] = from_bus_number;
m_K[m, 2] = KV1;
m_K[m, 3] = KI1;
m_K[m, 4] = to_bus_number;
m_K[m, 5] = KV2;
m_K[m, 6] = KI2;
m_K[m, 7] = new Complex(m_RXy[0], m_RXy[1]);
m_K[m, 8] = m_RXy[2];
////m_KVBuses[from_bus_number_int - 1] = KV1;
//m_KVBuses[to_bus_number_int - 1] = KV2;
//update the propagation references
int[] injections_set = FindInjections(to_bus_number_int);
List <int> inaccurate_line_set = new List <int>(); //List to save all inaccurate lines
for (int idx1 = 0; idx1 < injections_set.Count(); idx1++)
{
if (injections_set[idx1] != Line_ID_int)
{
inaccurate_line_set.Add(injections_set[idx1]);
}
}
//Accurate Voltage Propagation
Matrix <Complex> KV_injections_set = KVPropagation(inaccurate_line_set, Line_ID_int, to_bus_number_int, KV2);
int pointer = 0;
for (int idx1 = 0; idx1 < m_currentSystem.Network.LineNum; idx1++)
{
if (m_KVLines[idx1].Line_ID == 0)
{
pointer = idx1;
break;
}
}
for (int idx2 = 0; idx2 < KV_injections_set.RowCount; idx2++)
{
if ((pointer + idx2) < m_currentSystem.Network.LineNum)
{
m_KVLines[pointer + idx2].Line_ID = inaccurate_line_set[idx2];
m_KVLines[pointer + idx2].From_bus_num = to_bus_number_int;
m_KVLines[pointer + idx2].KV1 = KV_injections_set[idx2, 0];
}
}
//Set visited line to be 1
for (int n = 0; n < m_currentSystem.Network.LineNum; n++)
{
if (Line_ID_int == m_lineVisited[n, 0])
{
m_lineVisited[n, 1] = 1;
break;
}
}
string msg0 = "### Line " + LineID.ToString() + " from bus " +
m_currentSystem.Network.BusOriginalLibrary[from_bus_number_int - 1].ToString() + " to bus " +
m_currentSystem.Network.BusOriginalLibrary[to_bus_number_int - 1].ToString() + " has been calibrated.\n";
textBoxMessages.AppendLine(msg0);
}
else
{
string msg1 = "!!! Line " + LineID.ToString() + " from bus " +
m_currentSystem.Network.BusOriginalLibrary[from_bus_number_int - 1].ToString() + " to bus " +
m_currentSystem.Network.BusOriginalLibrary[to_bus_number_int - 1].ToString() + " can NOT be calibrated due to limited data.\n";
textBoxMessages.AppendLine(msg1);
}
return(0);
}
/* Conduct PI section Impedance calibration of single line*/
public int SingleLineImpedanceEstimation(string LineID, int FromBusNumber, Complex KV1, Complex KI1, TextBox textBoxMessages) //ALso need Complex KV1, Complex[,] Z
{
int CurrentToBus = 0;
CurrentToBus = GetLineVI(LineID, FromBusNumber);
//if (LineID == "2")
//{ int a = 1; }
Complex KV2 = new Complex();
Complex KI2 = new Complex();
Complex Z = new Complex();
Complex y = new Complex();
//Find the sample sets 30 samples per second, 60 seconds in all => 30 sets of samples, 60 samples per set, rule out -9999
int i = 0; //set number
int feasible_flag = 0; //estimation feasible indicator, shows missing data quantity, if too large then the estimation is not feasible
Complex[] Zhat11 = new Complex[30];
Complex[] Zhat12 = new Complex[30];
Complex[] Zhat21 = new Complex[30];
Complex[] Zhat22 = new Complex[30];
int SecondsNumber = (int)Math.Floor((double)(m_V1.Count() / 30));
while (i < 30)
{
//get samples
Complex[,] V_sample_temp = new Complex[SecondsNumber, 2];
Complex[,] I_sample_temp = new Complex[SecondsNumber, 2];
int current_row = 0;
for (int j = 0; j < SecondsNumber; j++)
{
current_row = j * 30 + i;
if ((m_V1[current_row] != -9999) && (m_I1[current_row] != -9999) && (m_V2[current_row] != -9999) && (m_I2[current_row] != -9999))
{
V_sample_temp[j, 0] = m_V1[current_row];
I_sample_temp[j, 0] = m_I1[current_row];
V_sample_temp[j, 1] = m_V2[current_row];
I_sample_temp[j, 1] = m_I2[current_row];
}
else
{
V_sample_temp[j, 0] = -9999;
I_sample_temp[j, 0] = -9999;
V_sample_temp[j, 1] = -9999;
I_sample_temp[j, 1] = -9999;
}
}
//transfer into matrix mode
Complex initial = 0;
DenseMatrix Vhat = DenseMatrix.Create(2, 1, initial);
DenseMatrix Ihat = DenseMatrix.Create(2, 1, initial);
for (int k = 0; k < SecondsNumber; k++)
{
if ((V_sample_temp[k, 0] != -9999) && (V_sample_temp[k, 0] != null))
{
Complex[,] V_temp_array = new Complex[2, 1];
V_temp_array[0, 0] = V_sample_temp[k, 0];
V_temp_array[1, 0] = V_sample_temp[k, 1];
DenseMatrix V_temp = DenseMatrix.OfArray(V_temp_array);
if ((Vhat != null) && (V_temp != null))
{
if (Vhat[0, 0] == 0)
{
Vhat = V_temp;
}
else
{
Vhat = MatrixCalculationExtensions.HorizontallyConcatenate(Vhat, V_temp);
}
}
Complex[,] I_temp_array = new Complex[2, 1];
I_temp_array[0, 0] = I_sample_temp[k, 0];
I_temp_array[1, 0] = I_sample_temp[k, 1];
DenseMatrix I_temp = DenseMatrix.OfArray(I_temp_array);
if ((Ihat != null) && (I_temp != null))
{
if (Ihat[0, 0] == 0)
{
Ihat = I_temp;
}
else
{
Ihat = MatrixCalculationExtensions.HorizontallyConcatenate(Ihat, I_temp);
}
}
}
}
//check sample quantity, enough to do estimation or not
if (Vhat.ColumnCount < 20)
{
feasible_flag += 1;
i += 1;
continue;
}
else
{
MathNetNumLin.Matrix <Complex> Vhat_T = Vhat.Transpose();
MathNetNumLin.Matrix <Complex> Ihat_T = Ihat.Transpose();
//estimate Zhat
MathNetNumLin.Matrix <Complex> Zhat_temp = null;
Zhat_temp = LeastSquareEstimation(Vhat_T, Ihat_T);// Ihat_T.Transpose().Multiply(Ihat_T).Inverse().Multiply(Ihat_T.Transpose()).Multiply(Vhat_T);
Zhat11[i] = Zhat_temp[0, 0];
Zhat12[i] = Zhat_temp[0, 1];
Zhat21[i] = Zhat_temp[1, 0];
Zhat22[i] = Zhat_temp[1, 1];
//Zhat12[i] = Zhat_temp[1, 0];
//Zhat21[i] = Zhat_temp[0, 1];
}
i += 1;
}
// Take average of Zhat to eliminate PMU error, if there is enough estimation results
Complex from_bus_number = FromBusNumber;
Complex to_bus_number = CurrentToBus;
int from_bus_number_int = FromBusNumber;
int to_bus_number_int = CurrentToBus;
double BaseZ = m_currentSystem.Network.BaseKV * m_currentSystem.Network.BaseKV / m_currentSystem.Network.BaseMVA;
if (feasible_flag < 15)
{
Complex W = new Complex();
Complex[] KV2_hat = new Complex[30];
Complex[] KI2_hat = new Complex[30];
Complex[] Z_hat_pu = new Complex[30];
Complex[] y_hat_pu = new Complex[30];
Complex KV2_hat_sum = new Complex();
Complex KI2_hat_sum = new Complex();
Complex Z_hat_pu_sum = new Complex();
Complex y_hat_pu_sum = new Complex();
for (int l = 0; l < 30; l++)
{
if ((Zhat11[l] != null) || (Zhat12[l] != null) || (Zhat21[l] != null) || (Zhat22[l] != null))
{
Complex Zhat11_temp = Zhat11[l];
Complex Zhat12_temp = Zhat12[l];
Complex Zhat21_temp = Zhat21[l];
Complex Zhat22_temp = Zhat22[l];
W = (Zhat11_temp * Zhat22_temp) / (Zhat12_temp * Zhat21_temp);
W = Complex.Sqrt(W);
if (W.Imaginary < 0)
{
W = -1 * W;
}
KV2_hat[l] = 1 / W * Zhat11_temp / Zhat12_temp * KV1;
KI2_hat[l] = W * Zhat21_temp / Zhat11_temp * KI1;
if (KV2_hat[l].Real < 0)
{
KV2_hat[l] = KV2_hat[l] * (-1);
}
if (KI2_hat[l].Real < 0)
{
KI2_hat[l] = KI2_hat[l] * (-1);
}
y_hat_pu[l] = BaseZ * Complex.Sqrt((KI2_hat[l] * (W - 1)) / (KV2_hat[l] * (W + 1) * (Zhat11_temp * Zhat22_temp - Zhat12_temp * Zhat21_temp)) * KI1 / KV1);
//y_hat_pu[l] = Complex.Sqrt((KI2_hat[l] * (W - 1)) / (KV2_hat[l] * (W + 1) * (Zhat11_temp * Zhat22_temp - Zhat12_temp * Zhat21_temp)) * KI1 / KV1);
if (y_hat_pu[l].Imaginary < 0)
{
y_hat_pu[l] = Complex.Conjugate(y_hat_pu[l]);
}
Z_hat_pu[l] = (W - 1) / y_hat_pu[l];
if (Z_hat_pu[l].Real < 0)
{
Z_hat_pu[l] = Complex.Conjugate(-1 * Z_hat_pu[l]);
}
if (Z_hat_pu[l].Imaginary < 0)
{
Z_hat_pu[l] = Complex.Conjugate(Z_hat_pu[l]);
}
}
KV2_hat_sum = KV2_hat_sum + KV2_hat[l];
KI2_hat_sum = KI2_hat_sum + KI2_hat[l];
Z_hat_pu_sum = Z_hat_pu_sum + Z_hat_pu[l];
y_hat_pu_sum = y_hat_pu_sum + y_hat_pu[l];
}
KV2 = KV2_hat_sum / (30 - feasible_flag);
KI2 = KI2_hat_sum / (30 - feasible_flag);
Z = Z_hat_pu_sum / (30 - feasible_flag); // * BaseZ;
y = y_hat_pu_sum / (30 - feasible_flag); // / BaseZ;
//adding the computation results to K matrix and record KVs for both from_bus and to_bus for future calibrations
int m = 0;
while (m_K[m, 0] != 0)
{
m += 1;
}
int Line_ID_int = Convert.ToInt32(LineID);
m_K[m, 0] = Line_ID_int;
m_K[m, 1] = from_bus_number;
m_K[m, 2] = KV1;
m_K[m, 3] = KI1;
m_K[m, 4] = to_bus_number;
m_K[m, 5] = KV2;
m_K[m, 6] = KI2;
m_K[m, 7] = Z;
m_K[m, 8] = y.Imaginary;
//update the propagation references
int[] injections_set = FindInjections(to_bus_number_int);
List <int> inaccurate_line_set = new List <int>(); //List to save all inaccurate lines
for (int idx1 = 0; idx1 < injections_set.Count(); idx1++)
{
if (injections_set[idx1] != Line_ID_int)
{
inaccurate_line_set.Add(injections_set[idx1]);
}
}
//Accurate Voltage Propagation
MathNetNumLin.Matrix <Complex> KV_injections_set = KVPropagation(inaccurate_line_set, Line_ID_int, to_bus_number_int, KV2);
//Accurate Current Propagation
MathNetNumLin.Matrix <Complex> KI_injections_set = KIPropagation(inaccurate_line_set, Line_ID_int, to_bus_number_int, KI2);
int pointer = 0;
for (int idx1 = 0; idx1 < m_currentSystem.Network.LineNum; idx1++)
{
if (m_KVKILines[idx1].Line_ID == 0)
{
pointer = idx1;
break;
}
}
for (int idx2 = 0; idx2 < KV_injections_set.RowCount; idx2++)
{
if ((pointer + idx2) < m_currentSystem.Network.LineNum)
{
m_KVKILines[pointer + idx2].Line_ID = inaccurate_line_set[idx2];
m_KVKILines[pointer + idx2].From_bus_num = to_bus_number_int;
m_KVKILines[pointer + idx2].KV1 = KV_injections_set[idx2, 0];
m_KVKILines[pointer + idx2].KI1 = KI_injections_set[idx2, 0];
}
}
//Set visited line to be 1
for (int n = 0; n < m_currentSystem.Network.LineNum; n++)
{
if (Line_ID_int == m_lineVisited[n, 0])
{
m_lineVisited[n, 1] = 1;
break;
}
}
string msg0 = "### Line " + LineID.ToString() + " from bus " +
m_currentSystem.Network.BusOriginalLibrary[from_bus_number_int - 1].ToString() + " to bus " +
m_currentSystem.Network.BusOriginalLibrary[to_bus_number_int - 1].ToString() + " has been estimated.\n";
textBoxMessages.AppendLine(msg0);
}
else
{
string msg1 = "!!! Line " + LineID.ToString() + " from bus " +
m_currentSystem.Network.BusOriginalLibrary[from_bus_number_int - 1].ToString() + " to bus " +
m_currentSystem.Network.BusOriginalLibrary[to_bus_number_int - 1].ToString() + " can NOT be calibrated due to limited data.\n";
textBoxMessages.AppendLine(msg1);
}
return(0);
}
