动态负载频率控制在动力系统中使用基于混合模拟回火的二次插值优化器
Davut Izci1,2, Serdar Ekinci1, Emre Çelik3
1Department of Computer Engineering, Batman University, Batman, 72100, Turkey.
Scientific reports
|October 30, 2024
概括
一种新的混合优化方法 (hSA-QIO) 增强了用于电力系统负载频率控制的过PID控制器. 这种方法提高了可再生能源电网的稳定性和可靠性,优于传统方法.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 优化算法 优化算法
背景情况:
- 由于可再生能源的整合和波动的负载,现代电力系统面临着稳定性挑战.
- 传统的比例-整数-导数 (PID) 控制器与这些复杂性作斗争.
研究的目的:
- 引入一种新的过PID (PID-F) 控制器,该控制器通过基于混合模拟回火的二次插值优化器 (hSA-QIO) 进行优化,以改善负载频率控制 (LFC).
- 为了证明hSA-QIO在提高电源系统稳定性PID-F控制器性能方面的有效性.
主要方法:
- 开发基于混合模拟回火的二次插值优化器 (hSA-QIO),结合本地和全球搜索策略.
- 评估hSA-QIO对基准函数的评估,以评估稳定性和趋同.
- 将hSA-QIO调节的PID-F控制器应用于双区域互连的电力系统,并采用混合光伏热发电.
主要成果:
- 在基准功能上,hSA-QIO在标准QIO上表现优越,实现了更好的解决方案质量和更快的融合.
- 在双区域电源系统中,hSA-QIO调节的控制器显著降低了时间加权绝对误差 (ITAE) 积分的23.4%.
- 改善了结算时间和减少了在两个区域的频率偏差的超越,以及优越的连接线功率调节.
结论:
- 拟议的hSA-QIO是一种强大而高效的优化技术,用于调整PID-F控制器.
- 基于hSA-QIO的LFC战略提高了电力系统的稳定性和可靠性,特别是在具有高可再生能源透率的电网中.
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