在使用混合MGOAO优化PID和FOPID控制器的多区域混合动力系统中实时频率和电压稳定
Urla Abhishek1, Satish Kumar Injeti1, Vijayasanthi Maineni2
1Department of Electrical Engineering, National Institute of Technology Warangal, Hanamkonda, India.
Scientific reports
|December 7, 2025
概括
本研究介绍了一种新的生长优化和素优化 (MGO-AO) 算法,用于调整混合动力系统中的控制器. MGO-AO/FOPID控制器显著提高了稳定性和动态性能,通过硬件循环测试进行验证.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 优化算法 优化算法
背景情况:
- 负载频率控制 (LFC) 和自动电压调节 (AVR) 对电力系统稳定性至关重要.
- 混合AC/DC电源系统比传统的交流电网提供了更高的动态性能.
- 优化控制器参数对于有效的LFC-AVR集成至关重要.
研究的目的:
- 开发和评估一个新的优化算法 (MGO-AO),用于调整分数顺序PID (FOPID) 控制器.
- 调查一个带有电池储能系统 (BESS) 的双区域混合AC/DC电源系统中的集成LFC-AVR问题.
- 评估拟议的控制方案的动态性能和稳定性.
主要方法:
- 为控制器参数调整开发了一种新的生长优化和素优化 (MGO-AO) 算法.
- 采用了两区域混合AC/DC电力系统模型,包括热轮机,AC连接线,HVDC连接和BESS.
- 建议的MGO-AO/FOPID控制器与其他优化技术和配置进行了比较.
主要成果:
- 与AC/DC混合系统相比,AC/DC混合系统的动态性能明显提高.
- MGO-AO/FOPID控制器实现了卓越的性能,表现出最低的结算时间和超速.
- 控制方案证明了对各种负载和发电干扰的稳定性,有或没有BESS.
结论:
- 拟议的MGO-AO算法有效调整混合动力系统中集成的LFC-AVR的FOPID控制器.
- 混合AC/DC系统与BESS和MGO-AO/FOPID控制器增强了系统的稳定性和动态响应.
- 硬件循环验证证实了开发的控制策略的实际可行性.
关键词:
素的优化 (AO)自动电压调节 (AVR) 是一种自动电压调节系统.分数顺序PID (FOPID) 的一个例子.混合优化优化 混合优化负载频率控制 (LFC) 是指负载频率控制.摩斯生长优化 (MGO) 方法多区域电力系统的多区域电力系统.更多相关视频
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