河马优化调整的Sigmoid PID控制器用于用于可再生能源的双区域热电系统的负载频率控制
Özay Can1, Mustafa Şinasi Ayas2, Ali Kıvanç Şahin3
1Department of Electronics and Automation, Technical Sciences Vocational School, Recep Tayyip Erdogan University, Rize, Turkey. ozay.can@erdogan.edu.tr.
Scientific reports
|March 2, 2026
概括
本研究介绍了一种用于可再生能源发电系统负载频率控制的新型自适应控制器. 拟议的方法可以在各种操作条件下提高系统的稳定性和性能.
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:
- 可再生能源的整合挑战负载频率控制 (LFC) 由于非线性,总督终极频段 (GDB) 和参数不确定性.
- 传统的固定增益控制器在动态操作条件下难以保持频率和联网电源稳定性.
- 现有的方法通常对可再生能源 (RES) 带来的复杂性无效.
研究的目的:
- 建议在一个带有可再生能源的双区域热电系统中为LFC提供一个西格形比例积分导数 (SPID) 控制器.
- 使用基于sigmoid的非线性映射,以适应性调整控制器收益.
- 使用河马优化 (HO) 算法优化控制器参数,以最大限度地减少时间加权绝对误差 (ITAE) 的积分.
主要方法:
- 开发一个带有自适应增益调整的西格形比例积分导数 (SPID) 控制器.
- 使用河马优化 (HO) 算法优化SPID控制器参数.
- 通过时间域模拟 (基线,GDB,可变 RES,参数变化) 和频域稳定性分析 (波德图) 来评估性能.
主要成果:
- 拟议的HO-SPID控制器相比于基于PID的最先进的元启发式控制器,显著减少了ITAE,定位时间和下拉.
- 强度分析证实在±25%和±50%的参数变化下稳定运行.
- 波德分析验证了拟议控制器的频域稳定性.
结论:
- HO-SPID控制器有效地解决了可再生能源和非线性电力系统中的LFC挑战.
- 适应性和优化的参数确保了卓越的性能和稳定性.
- 控制器在各种场景和参数不确定性中表现出强大而稳定的操作.
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