Applicability Analysis of Different Indexes for Reactive Power Optimization in Active Distribution Networks

CHEN Yun; PAN Ziyan; LIU Jilei; LIU Shipeng; ZHANG Jie; MA Yongfei; HU Junjie; LI Yadi; GE Yimeng; LU Binxian

doi:10.19725/j.cnki.1007-2322.2023.0379

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Applicability Analysis of Different Indexes for Reactive Power Optimization in Active Distribution Networks

更新时间：2026-04-02

- Applicability Analysis of Different Indexes for Reactive Power Optimization in Active Distribution Networks
- Vol. 43, Issue 2, Pages: 310-319(2026)
- 作者机构：
  
  1. 国网青海省电力公司,青海省,西宁市,810000
  2. 华北电力大学电气与电子工程学院, 北京市昌平区,102206
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0379
  CLC： 2
- Published：2026
- 稿件说明：
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CHEN Yun, PAN Ziyan, LIU Jilei, et al. Applicability Analysis of Different Indexes for Reactive Power Optimization in Active Distribution Networks[J]. 2026, 43(2): 310-319.
DOI：

CHEN Yun, PAN Ziyan, LIU Jilei, et al. Applicability Analysis of Different Indexes for Reactive Power Optimization in Active Distribution Networks[J]. 2026, 43(2): 310-319. DOI： 10.19725/j.cnki.1007-2322.2023.0379.

摘要

随着高比例、强随机性光伏的接入，准确选址和快速计算成为应用实时潮流数据确定有源配电网补偿电容位置和容量无功优化方法的两个重要特性指标。针对具有轻载和长线特点的农牧区配电网来说，该文研究5种不同指标补偿电容选址方法的适用范围和计算速度。针对IEEE 12节点配电网、农牧区53节点配电网和农牧区37节点有源配电网，基于损耗无功灵敏度指标法、损耗电压灵敏度指标法、有功功率损耗指标法、电压稳定度指标法和熵权法确定电容器选址位置，应用粒子群算法优化补偿电容的容量，对比不同指标模型降损率和电压平均偏差，确定不同方法电容选址的准确性，统计不同方法的计算速度。结果表明：采用5种方法优化后，配电网有功功率损耗均显著降低；基于功率损耗指标方法的电容补偿无功优化效果最佳，降损最大，适用于不同的有源配电网；相对于熵权法，功率损耗指标方法计算效率更高，平均计算速度提升65.9%。

Abstract

With the access of a high proportion of highly stochastic photovoltaic (PV)

precise location and fast calculation have become two important characteristic indicators for the application of real-time power flow data to quickly and accurately determine the location and capacity reactive power optimization methods in active distribution network compensation capacitors. For distribution networks in agricultural and pastoral areas characterized by light load or containing long lines

both the location accuracy and calculation speed of five different index methods for compensation capacitor siting are investigated in the paper. For IEEE 12 distribution network

53-bus distribution network and active 37-bus distribution network in agricultural and pastoral regions

the optimal locations for capacitors are determined based on loss reactive power sensitivity index method

loss voltage sensitivity index method

active power loss index method

voltage stability index method and entropy power method. The particle swarm algorithm is employed to optimize the capacity of compensation capacitors. The loss reduction and average deviation of voltage in different models were compared to determine the accuracy of capacitors siting in different methods

and the calculation speed of different methods was compared. The results demonstrate that the active power loss is substantially reduced after the optimization by the five methods. For the location of compensation capacitors

the power loss index method proves to be the most effective one

achieving the highest loss reduction. It is applicable to different active distribution networks. In comparison with the entropy weight method

the power loss index method exhibits superior computational speed

achieving an average calculation efficiency improvement of 65.9%.

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references

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