一种基于MPC的多区域智能电网的新型级联控制:解决可再生能源和电动汽车集成挑战
Muhammad S Tolba1, Muhammad Majid Gulzar2, Ali Arishi3
1Department of Control & Instrumentation Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia.
ISA transactions
|July 1, 2025
概括
本研究介绍了一种先进的控制策略,用于在使用可再生能源 (RES) 和电动汽车 (EV) 的电网中稳定负载频率调节. 这种新的方法显著减少了系统错误,改善了响应时间,提高了电网稳定性.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 电力系统 电力系统
背景情况:
- 负载频率调节对于电力系统稳定性至关重要.
- 可再生能源 (RES) 和电动汽车 (EV) 的整合引入了复杂性.
- 现有的控制策略在处理系统不确定性和非线性方面面临挑战.
研究的目的:
- 开发一个先进的级联控制方案来调节负载频率.
- 提高多区域电力系统的适应性和稳定性,使用可再生能源和电动汽车.
- 为了优化控制器参数,以获得卓越的性能.
主要方法:
- 一个新的级联控制方案,结合了模型预测控制 (MPC),倾斜控制和分数顺序积分导数控制 (MPC-((1+PI) -(T+(1+IλDμ)))).
- 使用Lyrebird优化算法 (LOA) 进行参数调整,以实现高效的全球搜索.
- 在各种操作条件下进行的模拟,包括生成速率约束 (GRC),总督死带 (GDB) 和通信时间延迟 (CTD).
主要成果:
- 在时间积分绝对误差 (ITAE) 中降低了96.4%.
- 减轻了98.6%的下射,沉降时间为5.8秒.
- 与现有的基准策略相比,表现优越.
结论:
- 拟议的先进级联控制方案在负载频率调节方面提供了显著的改进.
- 控制器在复杂的动力系统中表现出增强的稳定性和适应性.
- LOA提供有效的参数调节,以实现最佳的控制性能.
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