基于非支配排序遗传算法-Ⅱ的静态换相开关优化配置方法
Optimal Configuration of Static Phase-Changing Switches Based on Undominated Sorting Genetic Algorithm-Ⅱ
高靖洋 1董振华 1杨思宇 1杨健1
作者信息
- 1. 国网甘肃省电力公司兰州供电公司,兰州 730070
- 折叠
摘要
为应对低压配电网中光伏系统带来的电压三相不平衡问题,本文提出了一种基于非支配排序遗传算法-Ⅱ的静态换相开关优化配置方法.通过考虑静态换相开关的最佳部署位置,采用NSGA-Ⅱ算法优化静态换相开关的数量和位置,从而实现成本效益最大化.并在IEEE 123节点测试馈线上进行了仿真实验,以验证方法的有效性.仿真结果表明,该方法在IEEE 123 节点测试馈线中能够显著减少电压不平衡和网络损耗.在不同渗透水平下,沿馈线的最大电压不平衡度分别降低了 80%和 60%,总能量损失减少了(69.2～75.7)kWh.本文提出的方法在提高配电系统运行效率和稳定性方面展现了良好的应用前景,为智能电网和可再生能源的可持续发展提供了有力支持.
Abstract
To address the issue of three-phase voltage imbalance caused by photovoltaic systems in low-voltage distribution networks,this paper proposes an optimal configuration method for static transfer switches(STS)based on the Non-Dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ).By considering the optimal deployment locations,the NSGA-Ⅱ algorithm is employed to optimize the number and placement of STS,maximizing cost-effectiveness.Simulation experiments were conducted on the IEEE 123-node test feeder to verify the method's effectiveness.The simulation results show that this method significantly reduces voltage imbalance and network losses in the IEEE 123-node test feeder.At various penetration levels,the maximum voltage imbalance along the feeder is reduced by 80%and 60%,respectively,while total energy losses decrease by(69.2～75.7)kWh.The proposed method demonstrates promising application potential in enhancing the operational efficiency and stability of distribution systems,providing strong support for the sustainable development of smart grids and renewable energy.
关键词
三相不平衡/非支配排序遗传算法-Ⅱ/换相开关/多目标优化Key words
three-phase unbalance/non-dominated sorting genetic algorithm-Ⅱ/phase switching/multi-objective optimization引用本文复制引用
基金项目
国网甘肃省科技项目(27DL02-LG-9003001)
出版年
2024
NETL
NSTL
万方数据