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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 |
doi: 10.3389/fenrg.2024.1382684
Estimation of Abnormal States in Shunt Capacitor Banks Using Transient Disturbance Feature Extraction
Provisionally accepted- 1 Guangzhou Power Supply Bureau, Guangdong Power Grid Co., LTD., Guangdong, China
- 2 Electric Power Research Institute of Guangdong Power Grid Co., Ltd, Guangzhou, China
- 3 College of Electrical Engineering, Sichuan University, Chengdu, China
Shunt capacitor banks are essential for reactive power compensation, ensuring voltage stability, and reducing system losses. These banks consist of multiple units with components in series and parallel. A few component failures do not immediately affect the safe operation of the capacitor bank, but component breakdown can lead to voltage redistribution. Under combined factors such as system overvoltage and equipment aging, and others can trigger an avalanche effect causing capacitor breakdown, resulting in significant safety accident risks. Practical operation experience shows that partial component breakdown generates many transient disturbance signals. Quantitative analysis of these signals can detect capacitor bank anomalies early. This paper proposes the quantitative extraction of transient disturbance characteristics using the Prony algorithm and estimates the phase and number of capacitors that break down to judge capacitor anomalies. The simulation part verifies the theoretical analysis and detection algorithm's correctness through numerical simulations and PSCAD (Power Systems Computer Aided Design) electromagnetic transient simulations. The numerical simulations consider different signal lengths, noise levels, attenuation coefficients, and oscillation frequencies. In the PSCAD simulation environment, verification models are built under varying sampling frequencies, numbers of breakdown components, signal lengths, and signal-to-noise ratios. These simulation results verify the accuracy of the detection algorithm under different conditions.
Keywords: Shunt capacitor bank, state estimation, component breakdown, Prony algorithm, transient signal transient characteristics
Received: 06 Feb 2024; Accepted: 05 Sep 2024.
Copyright: © 2024 Zhang, Ma, Xiao, Zhong, Hu, Zhou and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Wen Xiao, College of Electrical Engineering, Sichuan University, Chengdu, China
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