TY - GEN
T1 - Voltage Balancing Using Particle Swarm Optimization and Support Vector Machine
AU - Ghaeb, Jasim
AU - Al-Naimi, Ibrahim
AU - Alkayyali, Malek
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) are proposed in this paper to provide an intelligent integrated solution for controlling reactive power and restoring voltage balance in a three-phase power system. The PSO algorithm is used in offline mode to determine the optimal set of firing angles for the Thyristor-Controlled-Reactor compensator according to the smallest fitness value required for voltage balancing. SVM are presented as online mode controllers for quickly and precisely restoring voltage balance. The optimum firing angles obtained by PSO are used to train the SVM. The SVM models are finally used as real-time controllers to retrieve the voltage balance in online mode. A simulation model and experimental setup of the electrical power system are built. Several simulations and practical case studies have been conducted to test and validate the capability of the proposed approach in solving the voltage unbalance problem. The results indicated the proposed approach's superior capacity to restore voltage balance rapidly.
AB - Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) are proposed in this paper to provide an intelligent integrated solution for controlling reactive power and restoring voltage balance in a three-phase power system. The PSO algorithm is used in offline mode to determine the optimal set of firing angles for the Thyristor-Controlled-Reactor compensator according to the smallest fitness value required for voltage balancing. SVM are presented as online mode controllers for quickly and precisely restoring voltage balance. The optimum firing angles obtained by PSO are used to train the SVM. The SVM models are finally used as real-time controllers to retrieve the voltage balance in online mode. A simulation model and experimental setup of the electrical power system are built. Several simulations and practical case studies have been conducted to test and validate the capability of the proposed approach in solving the voltage unbalance problem. The results indicated the proposed approach's superior capacity to restore voltage balance rapidly.
KW - Optimization Algorithms
KW - Power Quality
KW - Reactive Power Compensation
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U2 - 10.1109/SSD58187.2023.10411258
DO - 10.1109/SSD58187.2023.10411258
M3 - Conference contribution
AN - SCOPUS:85185838009
T3 - 2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023
SP - 648
EP - 653
BT - 2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023
Y2 - 20 February 2023 through 23 February 2023
ER -