通过使用颗粒群群优化,重新配置网络并基于Wolaita Sodo配电系统的DG补偿
Biniam Alemayehu1, Satyasis Mishra2, Ghanshyam G Tejani3,4
1Department of Electrical and computer engineering, University of Wolaita Sodo, Sodo, Ethiopia.
PloS one
|October 30, 2025
概括
这项研究优化了埃塞俄比亚的电力分配,同时重新配置网络并安装分布式发电 (DG). 该方法显著降低了功率损失,并改善了电压配置,从而节省了大量的财务成本.
科学领域:
- 电气工程 电气工程
- 电力系统工程 电力系统工程
- 优化技术 优化技术
背景情况:
- 现代配电系统面临着电压稳定性和功率损失的挑战,特别是在现实世界,不平衡的电网中.
- 现有的研究经常使用标准料器,缺乏适用于真实网络的独特操作约束.
研究的目的:
- 介绍一种用于同时进行网络重新配置和分布式发电 (DG) 的新方法.
- 将这种优化技术应用于埃塞俄比亚的真实分销网络,考虑实际的运营数据和约束.
主要方法:
- 利用粒子群集优化 (PSO) 进行网络重新配置和GD配置的同时.
- 采用前后扫描负载流程方法来评估各种场景下的网络性能.
- 在优化问题中包含了辐射限制,DG尺寸限制和电压/电流限制.
主要成果:
- 实现了72.064%的有效功率损失减少.
- 降低了电压偏差,从24.63%降至4.5%.
- 最低总线电压从0.7537pu提高到0.9550pu,每年可节省163.956万 ETB.
结论:
- 同时优化网络重新配置和GD安置是有效的提高在现实世界系统的发电性能.
- 开发的技术经济分析为新兴电力系统的公用事业提供了实际的决策支持工具.
- 该方法显著提高了埃塞俄比亚配电网络的效率,电压稳定性和经济效益.
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