Distributed Reactive Power Optimization Strategy Considering Flexible Loads

ZHANG Zongbao; ZHAO Wenmeng; ZHENG Litao; DENG Bin; LIU Yan; WU Qiuwei

doi:10.19725/j.cnki.1007-2322.2024.0195

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Distributed Reactive Power Optimization Strategy Considering Flexible Loads

更新时间：2026-10-19

- Distributed Reactive Power Optimization Strategy Considering Flexible Loads
- Vol. 43, Issue 5, Pages: 887-896(2026)
- 作者机构：
  
  1. 深圳供电局有限公司,广东省,深圳市,518001
  2. 南方电网科学研究院,广东省,广州市,510663
  3. 清华大学深圳国际研究生院,广东省,深圳市,518055
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0195
  CLC： 5
- Published：2026
- 稿件说明：
移动端阅览
ZHANG Zongbao, ZHAO Wenmeng, ZHENG Litao, et al. Distributed Reactive Power Optimization Strategy Considering Flexible Loads[J]. 2026, 43(5): 887-896.
DOI：

ZHANG Zongbao, ZHAO Wenmeng, ZHENG Litao, et al. Distributed Reactive Power Optimization Strategy Considering Flexible Loads[J]. 2026, 43(5): 887-896. DOI： 10.19725/j.cnki.1007-2322.2024.0195.

摘要

随着新能源的大规模接入，电力系统面临着风电和光伏所带来的潮流波动和电压越限等问题。为了合理协调电网中的可控资源以优化系统运行状态，提出一种考虑柔性负荷的分布式无功优化策略。首先，构建3类典型柔性负荷的数学模型，模拟其无功调节能力。综合考虑系统的网络损耗和电压偏差，提出计及柔性负荷的多目标无功优化模型。然后，对配电网进行分区处理，将模型重构成分布式优化模型。进而，开发一种基于残差平衡的自适应交替方向乘子法的分布式算法对模型进行求解。该方法可以自适应地调整惩罚参数，提高分布式算法的收敛性和求解速度。基于改进IEEE 33 节点配电网系统的算例分析表明，所提策略可以有效地改善网络损耗和节点电压偏差。计算结果表明所提算法可以有效提高分布式计算的效率。

Abstract

With the large-scale integration of distributed renewable energy sources (RES)

the power system faces challenges such as power flow fluctuations and voltage violation caused by wind power and photovoltaic (PV) systems. To coordinate the controllable resources and optimize the operation of the system

a distributed reactive power optimal dispatch strategy is proposed considering flexible resources on the load side. Mathematical models for three typical load-side flexible resources are established to simulate their reactive power regulation capabilities. A multi-objective reactive power optimization model that accounts for the load side resources is proposed to minimize both the power losses and voltage deviations. Subsequently

the distribution network (DN) is segmented

and the model is reconstructed into a distributed optimization model. A distributed solution method based on the Residual balancing based adaptive alternating direction method of multipliers (RBA-ADMM) algorithm is developed to address the proposed model. This method is capable of adaptively adjusting penalty parameters

thereby improving the convergence and computational speed of distributed algorithms. Case studies based on a modified IEEE 33-bus distribution system demonstrate the effectiveness of the proposed strategy in mitigating power losses and voltage deviations. Additionally

numerical results also validate the superior computational efficiency of the RBA-ADMM based distributed solution method.

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references

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