纳入可再生能源的多区域电力系统的负载频率控制,考虑到电动汽车的影响,使用经过修改的级联控制器,由BESSO算法调整
Rehana Ghafoor1, Lyu Guanghua2, Muhammad Majid Gulzar3,4
1Department of Electrical Engineering, University of Engineering & Technology, Lahore, Pakistan.
Heliyon
|June 17, 2024
概括
一个新的BESSO算法调整了一个级联 (1+PI) -PID控制器,用于稳定的负载频率控制 (LFC) 在复杂的可再生能源和电动汽车的电力系统中.
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) 对于电力系统的稳定性至关重要,特别是随着可再生能源 (RES) 和电动汽车 (EV) 的复杂性增加.
- 将光伏电池,风力轮机和电动汽车集成到多区域电力系统中,为保持稳定的频率和连线电力带来了重大挑战.
- 传统的LFC方法与这些多样化的能源资源带来的动态不确定性作斗争.
研究的目的:
- 为一个复杂的多区域电力系统开发和验证一个强大的LFC战略,其中包括热电厂,光伏,风力和电力发电.
- 通过最大限度地减少频率偏差和连线功率波动来提高系统稳定性和性能.
- 介绍和评估一种新的以自然为灵感的控制器调整优化算法.
主要方法:
- 开发了一个多区域电力系统模型,将热能系统与光伏 (PV) 电池,风力轮机和电动汽车 (EV) 整合起来.
- 一个新的级联 (1+PI) -PID控制器是为LFC设计的.
- 灵感来自于自然食行为,使用 Bald Eagle Sparrow 搜索优化 (BESSO) 算法来调整控制器参数.
- 在各种负载变化条件下进行了稳定性分析,将性能与传统PID控制器进行了比较.
主要成果:
- 建议的级联 (1+PI) -PID控制器,由BESSO优化,有效地稳定了多区域电力系统.
- 控制器在满足稳定性标准方面表现出高精度,显著减少了超标,低标,稳定状态错误以及系统频率和连接线功率的定位时间.
- 即使在涉及光伏,风能和电动汽车集成的复杂场景下,性能也得到了验证.
结论:
- 与BESSO调节的级联 (1+PI) -PID控制器为现代复杂的电源系统中LFC提供了卓越和可靠的解决方案.
- 这种方法有效地减轻了由RES和EV引起的频率波动,防止了潜在的系统停电.
- 这项研究强调了以自然为灵感的算法在优化电力系统工程中的先进控制策略方面的潜力.
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