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Find |V3|, θ3 and QG2 with π lines

Short answer

Using Newton-Raphson method with nominal-π Y-bus, converged load flow gives |V3| = 0.972 pu, θ3 = −8.15° and QG2 = 1.166 pu, which is within the 0–1.5 pu limit.

The bus 1 is assumed as slack bus for the 3-bus system shown below. Find |V3|, θ3, and QG2. The transmission line is represented as nominal π equivalent network with series impedance of zL = (0.0 + j0.10) and half line charging admittance yc = j0.02. [Figure: lines 1-2, 1-3 and 2-3; bus 1 generator SG1 with V1 = 1.0 + j0; bus 2 generator PG2 = 0.6661, |V2| = 1.04; bus 3 load SD3 = 2.5 + j1.0]

Bus 1 is the slack bus (1.0∠0∘1.0\angle 0^\circ), bus 2 a PV bus (P2=0.6661P_2 = 0.6661 pu, ∣V2∣=1.04|V_2| = 1.04 pu) and bus 3 a PQ bus (P3=−2.5P_3 = -2.5, Q3=−1.0Q_3 = -1.0 pu). Each line is a nominal-π with zL=j0.1z_L = j0.1 pu and j0.02j0.02 pu at each end. The unknowns are found from the converged load flow (Newton-Raphson, polar form, flat start V20=1.04∠0∘V_2^0 = 1.04\angle 0^\circ, V30=1∠0∘V_3^0 = 1\angle 0^\circ).

Y-bus

yL=1/j0.1=−j10 puYii=2(−j10)+2(j0.02)=−j19.96Yij=+j10\begin{aligned} y_L &= 1/j0.1 = -j10\ \text{pu} \\ Y_{ii} &= 2(-j10) + 2(j0.02) = -j19.96 \\ Y_{ij} &= +j10 \end{aligned} Ybus=[−j19.9600j10.0000j10.0000j10.0000−j19.9600j10.0000j10.0000j10.0000−j19.9600] puY_{bus} = \begin{bmatrix} -j19.9600 & j10.0000 & j10.0000 \\ j10.0000 & -j19.9600 & j10.0000 \\ j10.0000 & j10.0000 & -j19.9600 \end{bmatrix}\ \text{pu}

First iteration (shown in full)

With Yij=∣Yij∣∠θijY_{ij} = |Y_{ij}|\angle\theta_{ij}, Vi=∣Vi∣∠δiV_i = |V_i|\angle\delta_i and ϕij=θij−δi+δj\phi_{ij} = \theta_{ij} - \delta_i + \delta_j:

Pi=∑j=1n∣Vi∣∣Vj∣∣Yij∣cos⁡ϕijQi=−∑j=1n∣Vi∣∣Vj∣∣Yij∣sin⁡ϕij\begin{aligned} P_i &= \sum_{j=1}^{n} |V_i||V_j||Y_{ij}|\cos\phi_{ij} \\ Q_i &= -\sum_{j=1}^{n} |V_i||V_j||Y_{ij}|\sin\phi_{ij} \end{aligned}

Jacobian elements (polar form, j≠ij \ne i):

∂Pi∂δi=∑j≠i∣Vi∣∣Vj∣∣Yij∣sin⁡ϕij∂Pi∂δj=−∣Vi∣∣Vj∣∣Yij∣sin⁡ϕij∂Pi∂∣Vi∣=2∣Vi∣∣Yii∣cos⁡θii+∑j≠i∣Vj∣∣Yij∣cos⁡ϕij∂Pi∂∣Vj∣=∣Vi∣∣Yij∣cos⁡ϕij∂Qi∂δi=∑j≠i∣Vi∣∣Vj∣∣Yij∣cos⁡ϕij∂Qi∂δj=−∣Vi∣∣Vj∣∣Yij∣cos⁡ϕij∂Qi∂∣Vi∣=−2∣Vi∣∣Yii∣sin⁡θii−∑j≠i∣Vj∣∣Yij∣sin⁡ϕij∂Qi∂∣Vj∣=−∣Vi∣∣Yij∣sin⁡ϕij\begin{aligned} \frac{\partial P_i}{\partial \delta_i} &= \sum_{j\ne i} |V_i||V_j||Y_{ij}|\sin\phi_{ij} \\ \frac{\partial P_i}{\partial \delta_j} &= -|V_i||V_j||Y_{ij}|\sin\phi_{ij} \\ \frac{\partial P_i}{\partial |V_i|} &= 2|V_i||Y_{ii}|\cos\theta_{ii} + \sum_{j\ne i} |V_j||Y_{ij}|\cos\phi_{ij} \\ \frac{\partial P_i}{\partial |V_j|} &= |V_i||Y_{ij}|\cos\phi_{ij} \\ \frac{\partial Q_i}{\partial \delta_i} &= \sum_{j\ne i} |V_i||V_j||Y_{ij}|\cos\phi_{ij} \\ \frac{\partial Q_i}{\partial \delta_j} &= -|V_i||V_j||Y_{ij}|\cos\phi_{ij} \\ \frac{\partial Q_i}{\partial |V_i|} &= -2|V_i||Y_{ii}|\sin\theta_{ii} - \sum_{j\ne i} |V_j||Y_{ij}|\sin\phi_{ij} \\ \frac{\partial Q_i}{\partial |V_j|} &= -|V_i||Y_{ij}|\sin\phi_{ij} \end{aligned}

At the flat start the cos⁡\cos terms vanish (θ=±90∘\theta = \pm 90^\circ), so P20=P30=0P_2^0 = P_3^0 = 0, and

Q20=0.7887,Q30=−0.4400ΔP2=0.6661,ΔP3=−2.5000,ΔQ3=−1.0−(−0.4400)=−0.5600\begin{aligned} Q_2^{0} &= 0.7887, \quad Q_3^{0} = -0.4400 \\ \Delta P_2 &= 0.6661, \quad \Delta P_3 = -2.5000, \quad \Delta Q_3 = -1.0 - (-0.4400) = -0.5600 \end{aligned} ∂P2∂δ2=(1.0400)(1.0000)(10.0000)sin⁡(90.00∘)+(1.0400)(1.0000)(10.0000)sin⁡(90.00∘)=20.8000∂P2∂δ3=−(1.0400)(1.0000)(10.0000)sin⁡(90.00∘)=−10.4000∂P2∂∣V3∣=(1.0400)(10.0000)cos⁡(90.00∘)=0.0000∂P3∂δ2=−(1.0000)(1.0400)(10.0000)sin⁡(90.00∘)=−10.4000∂P3∂δ3=(1.0000)(1.0000)(10.0000)sin⁡(90.00∘)+(1.0000)(1.0400)(10.0000)sin⁡(90.00∘)=20.4000∂P3∂∣V3∣=2(1.0000)(19.9600)cos⁡(−90.00∘)+(1.0000)(10.0000)cos⁡(90.00∘)+(1.0400)(10.0000)cos⁡(90.00∘)=0.0000∂Q3∂δ2=−(1.0000)(1.0400)(10.0000)cos⁡(90.00∘)=0.0000∂Q3∂δ3=(1.0000)(1.0000)(10.0000)cos⁡(90.00∘)+(1.0000)(1.0400)(10.0000)cos⁡(90.00∘)=0.0000∂Q3∂∣V3∣=−2(1.0000)(19.9600)sin⁡(−90.00∘)−(1.0000)(10.0000)sin⁡(90.00∘)−(1.0400)(10.0000)sin⁡(90.00∘)=19.5200\begin{aligned} \frac{\partial P_2}{\partial \delta_2} &= (1.0400)(1.0000)(10.0000)\sin(90.00^\circ) + (1.0400)(1.0000)(10.0000)\sin(90.00^\circ) = 20.8000 \\ \frac{\partial P_2}{\partial \delta_3} &= -(1.0400)(1.0000)(10.0000)\sin(90.00^\circ) = -10.4000 \\ \frac{\partial P_2}{\partial |V_3|} &= (1.0400)(10.0000)\cos(90.00^\circ) = 0.0000 \\ \frac{\partial P_3}{\partial \delta_2} &= -(1.0000)(1.0400)(10.0000)\sin(90.00^\circ) = -10.4000 \\ \frac{\partial P_3}{\partial \delta_3} &= (1.0000)(1.0000)(10.0000)\sin(90.00^\circ) + (1.0000)(1.0400)(10.0000)\sin(90.00^\circ) = 20.4000 \\ \frac{\partial P_3}{\partial |V_3|} &= 2(1.0000)(19.9600)\cos(-90.00^\circ) + (1.0000)(10.0000)\cos(90.00^\circ) + (1.0400)(10.0000)\cos(90.00^\circ) = 0.0000 \\ \frac{\partial Q_3}{\partial \delta_2} &= -(1.0000)(1.0400)(10.0000)\cos(90.00^\circ) = 0.0000 \\ \frac{\partial Q_3}{\partial \delta_3} &= (1.0000)(1.0000)(10.0000)\cos(90.00^\circ) + (1.0000)(1.0400)(10.0000)\cos(90.00^\circ) = 0.0000 \\ \frac{\partial Q_3}{\partial |V_3|} &= -2(1.0000)(19.9600)\sin(-90.00^\circ) - (1.0000)(10.0000)\sin(90.00^\circ) - (1.0400)(10.0000)\sin(90.00^\circ) = 19.5200 \end{aligned} [0.6661−2.5000−0.5600]=[20.8000−10.40000.0000−10.400020.40000.00000.00000.000019.5200][Δδ2Δδ3Δ∣V3∣]⇒[Δδ2Δδ3Δ∣V3∣]=[−0.0393−0.1426−0.0287]\begin{bmatrix} 0.6661 \\ -2.5000 \\ -0.5600 \end{bmatrix} = \begin{bmatrix} 20.8000 & -10.4000 & 0.0000 \\ -10.4000 & 20.4000 & 0.0000 \\ 0.0000 & 0.0000 & 19.5200 \end{bmatrix}\begin{bmatrix} \Delta\delta_2 \\ \Delta\delta_3 \\ \Delta|V_3| \end{bmatrix} \Rightarrow \begin{bmatrix} \Delta\delta_2 \\ \Delta\delta_3 \\ \Delta|V_3| \end{bmatrix} = \begin{bmatrix} -0.0393 \\ -0.1426 \\ -0.0287 \end{bmatrix}

Iterations to convergence

The same steps are repeated (Jacobian recalculated each time) until all mismatches are below 10−510^{-5} pu:

IterationΔP2\Delta P_2ΔP3\Delta P_3ΔQ3\Delta Q_3δ2\delta_2 (deg)δ3\delta_3 (deg)∣V3∣\lvert V_3\rvert (pu)
10.6661-2.5000-0.5600-2.2493-8.16820.9713
20.0326-0.0783-0.1688-2.2844-8.48550.9615
30.0005-0.0011-0.0021-2.2847-8.48970.9614
40.00000.00000.0000-2.2847-8.48970.9614

The mismatches in each row are those at the start of that iteration; the angles and ∣V3∣|V_3| are the values at its end.

Results

Converged voltages: V2=1.0400∠−2.285∘V_2 = 1.0400\angle -2.285^\circ pu, V3=0.9614∠−8.490∘V_3 = 0.9614\angle -8.490^\circ pu.

Reactive power at bus 2:

Q2=−∑j∣V2∣∣Vj∣∣Y2j∣sin⁡(θ2j−δ2+δj)=1.2571 pu\begin{aligned} Q_2 &= -\sum_{j}|V_2||V_j||Y_{2j}|\sin(\theta_{2j} - \delta_2 + \delta_j) \\ &= 1.2571\ \text{pu} \end{aligned}

Since there is no load at bus 2, QG2=Q2Q_{G2} = Q_2.

Answer: ∣V3∣=0.9614|V_3| = 0.9614 pu, θ3=−8.49∘\theta_3 = -8.49^\circ, QG2=1.2571Q_{G2} = 1.2571 pu. (Slack bus: PG1=1.8339P_{G1} = 1.8339 pu, QG1=0.0597Q_{G1} = 0.0597 pu.)

✓ Answer checked by Claude Sonnet 5.5

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