对于混合光伏热电系统中强大的控制器设计,shint cosh优化器的新型应用
Serdar Ekinci1, Davut Izci1,2, Mohit Bajaj3,4,5
1Department of Computer Engineering, Batman University, Batman, Turkey.
Scientific reports
|January 22, 2025
概括
本研究介绍了一种新的 sinh-cosh优化器 (SCHO),用于混合动力系统中的负载频率控制 (LFC). 基于SCHO的PI控制器显著提高了可再生能源整合中的稳定性和响应时间.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 整合可再生能源的整合
背景情况:
- 负载频率控制 (LFC) 对电力系统稳定性至关重要,可以控制频率偏差和连线功率波动.
- 传统的LFC方法在稳定性,适应性和优化趋同方面扎,特别是在混合可再生能源系统中.
- 互连的电力系统需要先进的控制策略,以在动态干扰和可再生能源的整合中保持稳定.
研究的目的:
- 为设计比例积分 (PI) 控制器提出一个新的 sinh-cosh 优化器 (SCHO) 应用.
- 为了提高基于混合光伏 (PV) 和热发电机的双区域电力系统的负载频率控制 (LFC) 性能.
- 解决现有的LFC方法的局限性,包括不良的稳定性,适应性和缓慢的融合.
主要方法:
- 使用 sinh-cosh优化器 (SCHO) 设计比例积分 (PI) 控制器.
- 在双区域混合动力系统 (光伏和热发电机) 中实施和模拟拟拟议的基于SCHO的PI控制器.
- 使用各种性能指标,将基于SCHO的控制器的性能与其他元启发算法 (Salp Swarm,Whale Optimization,Firefly) 的性能进行比较.
主要成果:
- 该SCHO算法有效调整PI控制器,克服局部最小值,提高合速度.
- 基于SCHO的PI控制器表现出卓越的性能,实现更快的沉降时间 (例如,1.6231s和2.4615s对于1区和2区的频率偏差).
- 与其他方法相比,在整体错误指数 (IAE,ITAE,ISE,ITSE) 中观察到显著改善 (25-50%),以及加强了稳定性.
结论:
- 拟议的基于SCHO的PI控制器为混合动力和可再生能源现代电力系统中的LFC提供了有效和可靠的解决方案.
- 在优化LFC参数方面,SCHO算法的平衡的勘探和开发能力是有利的.
- 这种方法在动态条件和参数变化下提高了系统的稳定性和性能.
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