用冠状病毒群体免疫力优化器来充分观察电力系统的PMU的最佳位置
Mohammed A Alghassab1, Ahmed Y Hatata1,2, Ahmed H Sokrana3
1Department of Electrical Engineering, College of Engineering, Shaqra University, Al-Dawadmi, Riyadh, 11911, Saudi Arabia.
Heliyon
|June 6, 2024
概括
冠状病毒群体免疫优化器 (CHIO) 有效地解决了用于智能电网的相位测量单元 (PMU) 的最佳配置问题. 这种方法可确保在最小的PMU部署下完全可观测故障,从而增强电力系统监控.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 优化算法 优化算法
背景情况:
- 阶段测量单元 (PMU) 对于智能电网的情况意识至关重要.
- 由于成本和资源的限制,PMU的最佳放置 (OPP) 是具有挑战性的,需要最小的PMU数量进行全面监控.
- 冠状病毒群体免疫优化器 (CHIO) 是一种由流行病控制策略启发的新型算法.
研究的目的:
- 为了适应CHIO算法用于PMU (OPP) 最佳放置问题.
- 通过使用优化的PMU配置,在电力系统中实现完全的故障可观察性.
- 评估CHIO在解决OPP挑战方面的有效性,考虑到零注射总线影响.
主要方法:
- 冠状病毒群体免疫优化器 (CHIO) 被调整为解决PMU最佳放置 (OPP) 问题.
- 提出的基于CHIO的OPP算法是在MATLAB®中实现的.
- 该算法在各种标准电源系统上进行了测试,包括IEEE 9,14,30,118,300巴士,新英格兰39巴士和波兰2383巴士系统.
主要成果:
- CHIO算法在确定PMU的最佳位置以实现完全故障可观测方面表现出有效性.
- 提出的方法成功地考虑了电力系统模型中的零注入总线影响.
- 对比分析表明,与现有技术相比,基于CHIO的OPP方法是有效和稳健的.
结论:
- 适应的CHIO算法为PMU (OPP) 最佳放置问题提供了一个有希望和有效的解决方案.
- 通过CHIO方法,可以高效地实现电力系统的完全故障可观测.
- 这项研究验证了CHIO在复杂的电力系统优化任务中的稳定性和有效性.
相关概念视频
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