Multi-objective Reactive Power Optimization Method for New Energy Power Systems with High Permeability

FU Guobin; SUN Haibin; WANG Haiting; SONG Rui; YANG Guojin; HUANG Tao; MA Jiahao

doi:10.13296/j.1001-1609.hva.2025.05.030

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Multi-objective Reactive Power Optimization Method for New Energy Power Systems with High Permeability

The Key Technologies for Energy Conservation and Carbon Reduction in New Power Systems | 更新时间：2025-05-25

- Multi-objective Reactive Power Optimization Method for New Energy Power Systems with High Permeability
- High Voltage Apparatus Vol. 61, Issue 5, Pages: 291-301(2025)
- 作者机构：
  
  1.国网青海省电力公司电力科学研究院，西宁　 810008
  2.国网青海省电力公司，西宁　 810004
  3.国网青海省电力公司经济技术研究院，西宁　 810023
  4.华北电力大学电气与电子工程学院，北京　 102206
- 作者简介：
- 基金信息：
  
  Science and Technology Project of State Grid Qinghai Electric Power Company(SGQHDKY0DWJS2310203)
- DOI：10.13296/j.1001-1609.hva.2025.05.030
  CLC：
- Received：15 December 2024，
  
  Revised：18 February 2025，
  
  Published：16 May 2025
- 稿件说明：
移动端阅览
FU Guobin, SUN Haibin, WANG Haiting, et al. Multi-objective Reactive Power Optimization Method for New Energy Power Systems with High Permeability[J]. High voltage apparatus, 2025, 61(5): 291-301.
DOI：

FU Guobin, SUN Haibin, WANG Haiting, et al. Multi-objective Reactive Power Optimization Method for New Energy Power Systems with High Permeability[J]. High voltage apparatus, 2025, 61(5): 291-301. DOI： 10.13296/j.1001-1609.hva.2025.05.030.

摘要

随着新能源在电力系统中的比例不断增加，其难预测特性使得新型电力系统的电压稳定性面临严峻挑战。为此，提出一种于高比例新能源馈入下计及系统静态电压稳定的无功优化方法。首先，通过分析无功补偿容量与电压静稳

指标的关系，推导综合

灵敏度指标（comprehensive

sensitivity index），使系统于等量无功注入时电压支撑强度提升。同时，兼顾系统运行安全及经济运行构建多目标无功优化模型，采用多目标差分进化算法（multi-objective differential evolution algorithm，MODEA）求解基于TOPSIS的Pareto最优解。最后，用改进IEEE39节点模型测试，验证了所提方法在计及系统静态电压稳定的无功优化问题处理中的显著优势。

Abstract

With the continuous increase of new energy proportion in power system

its unpredictable nature poses a serious challenge to the voltage stability of new power systems. To this end

a kind of reactive power optimization method taking into account the static voltage stability of the system under a high proportion of new energy input is proposed. Firstly

by analyzing the relationship between reactive power compensation capacity and voltage static stability

index

a comprehensive

sensitivity index is derived to improve the voltage support strength of the system when injecting equal amounts of reactive power. At the same time

a multi-objective reactive power optimization model is constructed to balance system operation safety and economic operation. The multi-objective differential evolution algorithm (MODEA) is used to solve the Pareto optimal solution based on TOPSIS. Finally

the significant advantage of the proposed method in handling reactive power optimization problems considering system static voltage stability is verified through testing with an improved IEEE39 node model.

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