基于Walrus优化器的最佳分数顺序PID控制,用于提高海上风电场的性能
Mohamed A M Shaheen1, Hany M Hasanien2, S F Mekhamer3
1Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo, 11517, Egypt.
Scientific reports
|July 31, 2024
概括
摩优化算法优化了海上风电场的控制器,提高了系统的稳定性和恢复. 这种先进的方法改善了可再生能源系统,以实现可持续的未来.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 控制理论 控制理论
背景情况:
- 海上风电场 (OWF) 对于可再生能源发电至关重要.
- 强大的控制系统对于OWF的顺利运行至关重要.
- 分数顺序比例积分导数 (FOPID) 控制器用于风能转换系统 (WECS) 的功率电子接口.
研究的目的:
- 使用Walrus优化算法 (WaOA) 为WECS优化FOPID控制器的设计参数.
- 为了比较WaOA的有效性与传统的优化技术,如遗传算法 (GA) 和粒子群优化 (PSO).
- 通过HVDC传输系统与大陆连接的WECS中验证WaOA的应用.
主要方法:
- 这项研究使用了新开发的Walrus优化算法 (WaOA).
- WaOA用于优化WECS的功率电子接口电路中的FOPID控制器参数.
- 该WECS模型包括陆上和海上VSC站,通过HVDC连接连接,在MATLAB/Simulink中模拟.
主要成果:
- 与GA和PSO相比,WaOA在优化FOPID控制器方面表现出更高的性能.
- 优化的控制器显著提高了系统稳定性.
- 系统在干扰后的恢复时间更快.
结论:
- 摩优化算法是优化WECS中的FOPID控制器的高效方法.
- 优化的控制系统提高了海上风能系统的可靠性和效率.
- 先进的优化技术对于加速向可持续能源过渡至关重要.
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