在微电网保护中,对协调具有非标准特征的工业电流中继的启发式算法进行比较研究
Ekta Gairola1, Mahiraj Singh Rawat1, Padmanabh Thakur2
1Department of Electrical Engineering, National Institute of Technology, Uttarakhand, 246174, Srinagar Garhwal, India.
Scientific reports
|May 9, 2025
概括
微电网 (MG) 的最佳超电流继电协调 (OCR) 设置是使用正弦共弦算法 (SCA) 发现的. 在多种操作模式中,SCA显著减少了继电器运行时间,同时保持了必要的协调空间,优于遗传算法.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 控制系统 控制系统
背景情况:
- 传统的超电流中继协调 (OCR) 方法对于微电网 (MG) 的运行一致性是不够的.
- 微电网需要强大的保护策略,以在各种操作模式中提供可靠的性能.
研究的目的:
- 在微电网模型中确定OCR的最佳时间乘法设置 (TMS).
- 评估Sine Cosine算法 (SCA) 和修改后的鱼优化算法 (mod WOA) 对OCR协调的有效性.
- 将拟议的方法与传统的遗传算法 (GA) 方法进行比较.
主要方法:
- 使用DIgSILENT Powerfactory 2018实现了微电网模型,基于IEC基准系统.
- 利用在MATLAB中编码的SCA和mod WOA算法,以优化TMS用于具有非标准特征的OCR.
- 在三个不同的操作模式 (OM1,OM2,OM3) 中分析了继电器协调.
主要成果:
- 与GA相比,SCA显著减少了继电器总运行时间 (top) 到5.1676s (OM1),14.8376s (OM2) 和13.9448s (OM3).
- 在所有模式中,SCA实现了较低的个人继电器操作时间,同时保持了临界接触间隔时间 (CTI) > 0.3秒.
- 与SCA相比,Mod WOA实现了OCR协调,但在减少top方面效果较差.
结论:
- SCA提供了一种优越的方法来优化微电网中的OCR设置,提高运营效率和可靠性.
- 该研究强调了非标准OCR特性和微电网保护的先进优化算法的潜力.
- 对mod WOA在微电网保护中的应用进行进一步调查可能是有必要的.
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