| 基于多目标粒子群的农村微电网源网荷储协同优化运行 |
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| 引用本文：张志远1,武永军1,李熙钦1,周莉梅2,赵虎1,王承民3.基于多目标粒子群的农村微电网源网荷储协同优化运行[J].电网与清洁能源,2025,41(4):113~119 |
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| 基金项目:国家重点研发计划（2020YFB2104500）；国网北京市电力公司重点科技攻关项目（52021021002D） |
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| 中文摘要:为提升含分布式电源的农村微电网运行稳定性，对基于多目标粒子群算法的农村微电网源网荷储多目标优化方法进行研究。以最小网络损耗、最小电压偏移量与最大能源利用率等为目标函数，结合分布式电源出力、农村微电网运行以及储能等约束条件，建立了含分布式电源的农村微电网源网荷储多目标优化模型；在多目标粒子群算法内，引入了ε-支配关系的网格向量修剪策略以加快算法收敛效率；基于华北地区某农村实际微电网进行仿真分析，证明所提优化方法可有效降低农村微电网的网络损耗、电压偏移量，提升了能源利用率。 |
| 中文关键词:多目标粒子群 分布式光伏 农村微电网 源网荷储 多目标优化 修剪策略 |
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| A Study on Collaborative Optimization Operation of Source，Grid，Load，and Storage in Rural Microgrids Based on Multi-Objective Particle Swarms |
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| Abstract:To enhance the operation stability of rural microgrids with distributed power sources，a multi-objective optimization method of source-load-storage in rural microgrids using a multi-objective particle swarm algorithm has been investigated. Taking the minimum network loss，minimum voltage offset and maximum energy utilization rate as the objective function，combined with the constraints of distributed power output，rural microgrid operation and energy storage，a multi-objective optimization model of source，load and storage of rural microgrid with distributed power sources is established. The multi-objective particle swarm algorithm incorporates a grid vector pruning strategy based on the ε-dominance relationship to accelerate the convergence efficiency of the algorithm. Ultimately，by applying the proposed optimization method to an actual rural microgrid in Northern China，it is demonstrated that the method effectively reduces network losses and voltage deviation while enhancing energy utilization in rural microgrids. |
| keywords:multi-objective particle swarm distributed photovoltaic rural micro grid source network load storage multi objective optimization pruning strategy |
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