Abstract
Automatic voltage regulation (AVR) is a system that used to adjust the voltage stability and balance reactive power and also for regulating power plant generator. Focusing on the traditional PID automatic voltage regulation system, this paper investigated the effect of particle swarm optimization (PSO) algorithm in optimizing the parameters of PID controller in AVR system, and compared with genetic algorithm (GA) for PID parameters optimization. The simulation results showed that the AVR system optimized by PSO had more stability and robustness, which indicated the good application prospect of the proposed method.
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Acknowledgements
This work was supported by the Shanghai Sailing Program (16YF1415700); the 2015 Doctoral Scientific Research Foundation of Shanghai Ocean University (A2-0203-00-100348).
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Wang, J., Song, N., Jiang, E., Xu, D., Deng, W., Mao, L. (2017). The Application of the Particle Swarm Algorithm to Optimize PID Controller in the Automatic Voltage Regulation System. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_53
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DOI: https://doi.org/10.1007/978-981-10-6364-0_53
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