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基于多目标粒子群算法的配电网储能选址定容分析

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介绍了一种基于多目标粒子群算法的配电网储能选址定容方法.该方法综合考虑了节点电压水平、网络损耗以及储能系统总容量三个关键因素,以优化配电网的运行效率和稳定性.通过粒子群算法和多目标优化理论,多个潜在节点上模拟储能系统的选址和定容过程,不仅提升了节点电压水平,降低了网络损耗,还确保了储能系统的经济性和可行性,从而提高配电网的整体运行效率和经济效益.
Location and Capacity Determination of Energy Storage in Distribution Network Based on Multi-Objective Particle Swarm Optimization
This paper introduces a method of energy storage location and capacity determination for distribution network based on multi-objective particle swarm optimization algorithm.The method takes into account three key factors:node voltage level,network loss and total capacity of energy storage system,so as to optimize the operation efficiency and stability of distribution network.Through particle swarm optimization and multi-objective optimization theory,the location and capacity determination process of the energy storage system are simulated on multiple potential nodes,which not only improves the node voltage level,reduces the network loss,but also ensures the economy and feasibility of the energy storage system,thus improving the overall operating efficiency and economic benefits of the distribution network.

distribution networkenergy storagemulti-objective particle swarm optimizationmulti-objective optimization theorysite selection and capacity determination

曹金碧、才正权、慕昕辰、汪运辰、林宇龙

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辽宁工程技术大学电气与控制工程学院,辽宁 葫芦岛 125105

配电网 储能 多目标粒子群算法 多目标优化理论 选址和定容

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(6)
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