浙江电力

2025, v.44;No.353(09) 81-91

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考虑分区规模平衡性的主动配电网无功电压优化方法
A reactive voltage optimization method for active distribution networks considering partition size balancing

王江,杨军,骆亚帅,姜皓宇,卢涛
WANG Jiang,YANG Jun,LUO Yashuai,JIANG Haoyu,LU Tao

摘要(Abstract):

随着配电网中分布式光伏的快速增长,电压优化的难度和计算时间显著增加。对此,提出了一种考虑分区规模平衡性的分布式无功电压优化方法,以解决大规模配电网电压优化模型的计算复杂性问题。首先,结合近似电压灵敏度和节点隶属度,构建区域划分的综合性能评估指标,并设计布尔向量以确保分区内部的物理连通性,采用禁忌搜索算法完成配电网分区。然后,以配电网电压偏差最小化为目标,建立分区无功电压优化模型,并通过ADMM(交替方向乘子法)与求解器对模型进行求解。最后,在IEEE 33和IEEE 123节点的配电网中进行仿真。结果表明,所提方法能够有效缓解节点电压波动,并显著提高大规模配电网电压优化模型的求解速度。
With the rapid integration of distributed photovoltaic(PV) systems into distribution networks, the complexity and computational burden of voltage optimization have significantly increased. To address this challenge, this paper proposes a distributed reactive voltage optimization method that incorporates partition size balancing, thereby mitigating the computational complexity of large-scale distribution network voltage optimization models. First, a comprehensive performance evaluation index for partitioning is formulated by combining approximate voltage sensitivity and node membership degree. Boolean vectors are designed to ensure physical connectivity within partitions. Tabu search(TS) is employed to achieve optimal partitioning. Subsequently, a reactive voltage optimization model is established with the objective of minimizing voltage deviation, and the model is solved using the alternating direction method of multipliers(ADMM) in conjunction with a numerical solver. Finally, simulations on IEEE 33-node and IEEE 123-node distribution networks demonstrate that the proposed method mitigates nodal voltage fluctuations and significantly accelerates the solution process for large-scale voltage optimization models.

关键词(KeyWords): 主动配电网;配电网分区;光伏;无功优化;禁忌搜索;电压调节
active distribution network;distribution network partitioning;photovoltaics;reactive power optimization;tabu search;voltage regulation

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52477035)

作者(Author): 王江,杨军,骆亚帅,姜皓宇,卢涛
WANG Jiang,YANG Jun,LUO Yashuai,JIANG Haoyu,LU Tao

DOI: 10.19585/j.zjdl.202509008

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