优化电容器银行在配电网络中的放置,使用多目标粒子群优化方法,以提高能源效率和降低成本
Mehrdad Ahmadi Kamarposhti1, Raymond Ghandour2, Mahmoud Abdel-Aty3,4,5
1Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran. mehrdad.ahmadi.k@gmail.com.
Scientific reports
|April 10, 2025
概括
本研究介绍了一种改进的多目标粒子群集优化 (MOPSO) 方法,用于在发电系统中最佳的电容器银行放置. 增强的MOPSO显著降低了能源损耗和运营成本,同时提高了电压稳定性.
科学领域:
- 电气工程 电气工程
- 电力系统工程 电力系统工程
- 计算智能是一种计算智能.
背景情况:
- 配电系统面临能源损失,电压不稳定性和高运营成本的挑战.
- 优化电容器银行放置对于提高现代电网的效率和可靠性至关重要.
- 传统的方法往往与电力系统中复杂的多目标优化问题作斗争.
研究的目的:
- 提出一个改进的动态参数多目标粒子集群优化 (MOPSO) 方法.
- 为了确定IEEE 33总线和IEEE 69总线分布料器中的电容器库的最佳尺寸和位置.
- 为了提高能源损失的减少,电压稳定性和节省发电成本.
主要方法:
- 应用一种新的MOPSO算法,具有针对人口多样性的先进机制,并防止过早的融合.
- 考虑能源损耗,电压稳定性和成本节约的多目标优化.
- 与NSGA-II,MOGWO和MODE等最先进的算法进行比较分析.
主要成果:
- 证明了拟议的MOPSO对传统方法的优越性.
- 实现了超过25%的能源损耗减少.
- 报告说,运营成本减少了大约20%,电压配置得到了改进.
- 展示了增强的计算效率和解决方案多样性.
结论:
- 改进的MOPSO方法为电容器银行优化提供了更准确,更有效的方法.
- 这些发现支持通过提高发电系统可持续性和效率来整合低碳技术.
- MOPSO为实现更好的电压配置和具有成本效益的电网运营提供了显著的优势.
关键词:
电容器银行是电容器银行.分布网络的分销网络.能量损失 能量损失这就是MODE MODE.莫格沃 (Mogwo) 公司MOPSO MOPSO 的意思是在NSGA-II中,NSGA-II是最重要的.更多相关视频
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