改进负载频率控制器调整,通过鼠群优化和波毒特征检测来提高电力系统稳定性
Pasala Gopi1, N Chinna Alluraiah1, Pujari Harish Kumar2
1Department of Electrical and Electronics Engineering, Annamacharya University, Rajampet, India.
Scientific reports
|July 2, 2024
概括
使用鼠群优化 (RSO) 来调整PID控制器,提高负载频率控制 (LFC) 的稳定性,有效地减轻电力系统中的"porpoising"现象. 这种基于RSO的方法比传统技术提供了更高的性能.
科学领域:
- 电力系统工程 电力系统工程
- 控制理论 控制理论
- 优化算法 优化算法
背景情况:
- 负载频率控制 (LFC) 对于稳定的电力系统运行和一致的电源供应至关重要.
- 这是一个很棒的节目,这是一个很棒的节目.
研究的目的:
- 调查LFC中Porpoising现象的原因.
- 引入使用鼠群优化 (RSO) 的新方法,以提高负载频率控制器的性能和稳定性.
- 调整并检测电源系统控制器中的波毒功能.
主要方法:
- 开发了一种新的方法,使用鼠群优化 (RSO) 来调整比例-整数-导数 (PID) 控制器.
- 在1%的负载需求变化下使用MATLAB.模拟了一个单区域热电站 (TPGS).
- 将基于RSO的PID控制器与火算法 (FFA) 和齐格勒-尼科尔斯 (ZN) 技术进行了比较.
主要成果:
- 基于RSO的PID控制器实现了卓越的性能,包括零频率误差和减少负峰值超越.
- 与FFA和ZN方法相比,证明了更快的结算时间.
- 展示了增强的稳定性和对化现象的抵抗力.
结论:
- 基于RSO的PID控制器为提高电力系统稳定性和LFC性能提供了一个有希望的解决方案.
- 这项研究通过S平面极分析,减压比率和控制行动,提供了对化现象的洞察.
- 未来的工作将探索实时实现和多样化的控制系统应用.
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