使用电动汽车和IPFC辅助模型预测控制器进行风穿透放电系统的电压和频率调节
Vineet Kumar1, Vineet Kumar2, Ark Dev3
1Department of Electrical and Electronics Engineering, Madanapalle Institute of Technology & Science, Madanapalle, A.P, India.
Scientific reports
|August 24, 2025
概括
使用哈里斯·霍克斯优化 (MPC-HHO) 的新型预测控制器改善了风能集成电力系统的电压和频率控制. 这种先进的策略在各种市场条件下提高了稳定性和绩效.
科学领域:
- 电气工程
- 电力系统
- 控制理论
背景情况:
- 风能等可再生能源的放松管制和整合使得电力系统的稳定性变得复杂.
- 现有的控制策略在动态市场情景和干扰下面面临着保持最佳电压和频率调节的挑战.
研究的目的:
- 开发和评估一个协调的电压和频率控制战略,用于具有重要的风能集成的双区域电力系统.
- 在各种市场条件下提高电力系统的性能和稳定性,包括违反合同.
主要方法:
- 使用哈里斯·霍克斯优化 (MPC-HHO) 优化的模型预测控制器被开发用于协调电压和频率控制.
- 拟议的MPC-HHO控制器与PID,分数顺序PIλDF和其他MPC变体 (PSO,WOA) 进行了比较.
- 为了提高频率调节,研究了电动汽车和电力流控制器 (IPFC) 的集成.
主要成果:
- MPC-HHO控制器获得了最低的缺陷值 (FOD = 385.75),显示出卓越的性能.
- 与MPC-PSO相比,结算时间显著改善,增长了54. 07%.
- IPFC和EV的整合显著改善了频率调节和稍微增强了电压响应.
结论:
- 拟议的MPC-HHO战略为复杂的风能集成电力系统提供了强大而有效的电压和频率控制解决方案.
- 通过自身价值分析,灵敏性研究和在各种干扰下验证,证实了控制器的弹性,强调了其智能电网的适用性.
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