使用水母搜索算法优化太阳能光伏分布式发电的放置和尺寸,以提高电力系统性能
P Rajakumar1, P M Balasubramaniam2, E Parimalasundar3
1Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India.
Scientific reports
|July 2, 2025
概括
本研究优化了使用水母搜索算法 (JSA) 在电网中的分布式发电 (DG) 配置. 该JSA有效地减少了功率损失,并改善了电压稳定性,以提高电网效率.
科学领域:
- 电气工程 电气工程
- 电力系统工程 电力系统工程
- 优化算法 优化算法
背景情况:
- 分布式发电 (DG) 集成对于现代电力系统至关重要.
- 优化DG的配置影响网络的效率和稳定性.
- 现有的方法面临复杂的网络限制的挑战.
研究的目的:
- 开发和验证一个先进的元启发框架,以实现最佳的总干部配置和规模.
- 为了最大限度地减少实际功耗损失 (RPL),降低电压偏差指数 (VDI),提高电压稳定指数 (VSI).
- 采用水母搜索算法 (JSA) 在配电网络 (DPN) 中进行多目标优化.
主要方法:
- 使用加权和方法 (WSA) 制定一个多目标函数.
- 应用水母搜索算法 (JSA) 以实现太阳能光伏 (PV) DG单位的最佳放置和尺寸.
- 在 IEEE 33 总线辐射 DPN 上进行验证,采用单,双和三重光伏系统部署.
主要成果:
- 实际功耗 (RPL) 的显著减少:从210.98 kW降至69.59 kW.
- 电压偏差指数 (VDI) 的大幅下降:从1.8047 p.u. 在0.3293 p.u.
- 电压稳定指数 (VSI) 显著改善:最低VSI从0.6671增加到0.8916.
结论:
- 与其他元启发算法相比,JSA表现出卓越的性能.
- 拟议的框架有效地提高了DPN的效率,电压配置和稳定性.
- JSA为复杂的 DG 整合挑战提供了强大的解决方案.
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