Multiobjective Reactive Power Optimization in Power System

王云; 张伏生; 陈建斌; 段光辉

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Multiobjective Reactive Power Optimization in Power System

更新时间：2025-12-08

- Multiobjective Reactive Power Optimization in Power System
- Vol. 42, Issue 2, Pages: 213-217(2008)
- 作者机构：
  
  西安交通大学电气工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM714
- Online First：10 February 2008，
  
  Published：2008
- 稿件说明：
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王云, 张伏生, 陈建斌, et al. Multiobjective Reactive Power Optimization in Power System[J]. 2008, 42(2): 213-217.
DOI：

王云, 张伏生, 陈建斌, et al. Multiobjective Reactive Power Optimization in Power System[J]. 2008, 42(2): 213-217. DOI：

摘要

在传统无功优化模型的基础上

引入了静态电压稳定性指标

建立了综合考虑系统有功网损最小、静态电压稳定裕度最大和电压水平最好的多目标无功优化模型.将基于Pareto最优概念的改进多目标粒子群算法应用到多目标无功优化的求解中

对IEEE30节点系统进行了仿真计算.优化结果表明

该模型在实现系统经济运行的同时也增强了电网的电压稳定

同时求得的一组最优解能够为优化方法的决策提供更多的有效参考

具有实际意义.

Abstract

Based on the traditional model of reactive power optimization

index of static voltage stability is introduced and a model of multiobjective reactive power optimization is established

where the active power loss minimization

static voltage stability margin maximization and high voltage quality are taken into account

and improved multiobjective particle swarm optimization algorithm based on Pareto conception is chosen to solve multiobjective reactive power optimization problem for IEEE 30 bus system. The simulated results show that the model is able to heighten power system voltage stability during the economical operation

and validity of the established model and effectiveness of the proposed algorithm are verified.

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references

冯治鸿,刘取,倪以信,等.多机电力系统电压稳定性分析-奇异值分解法[J].中国电机工程学报,1992,12(3):10-18.

FENG Zhihong,LIU Qu,NI Yixin,et al. Analysis of steady-state voltage stability in multimachine power systems by singular value decomposition method [J]. Proceeding of the CSEE,1992,12(3):10-18.

KENNEDY J, EBERHART R. Particle swarm optimization[C]∥ IEEE International Conference on Neural Networks. Piscataway: IEEE, 1995: 1942-1948.

DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.

张伯明,陈寿孙.高等电力网络分析[M].北京:清华大学出版社,1996.

娄素华,李研,吴耀武,等.多目标电网无功优化的量子遗传算法[J].高电压技术,2005,31(9):69-71.

LOU Suhua,LI Yan,WU Yaowu,et al. Multi-objective reactive power optimization using quantum genetic algorithm[J].High Voltage Engineering,2005,31(9):69-71.

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