Voltage Reactive Power Optimization on Low Voltage Distribution Network Based on Dynamic Multi-swarm Particle Swarm Optimization

GU Suwen; MA Hongzhong; WANG Huafang; XU Honghua; XU Han; ZHOU Hao

doi:10.14044/j.1674-1757.pcrpc.2017.06.019

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Voltage Reactive Power Optimization on Low Voltage Distribution Network Based on Dynamic Multi-swarm Particle Swarm Optimization

更新时间：2024-09-14

- Voltage Reactive Power Optimization on Low Voltage Distribution Network Based on Dynamic Multi-swarm Particle Swarm Optimization
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 38, Issue 6, Pages: 91-96(2017)
- 作者机构：
  
  1. 河海大学能源与电气学院
  2. 国网江苏省电力公司南京供电公司
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2017.06.019
  CLC： TM714.3
- Published：2017，
- 稿件说明：
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[1]顾苏雯,马宏忠,王华芳,许洪华,徐晗,周昊.基于动态多种群粒子群算法的低压配电网电压无功优化[J].电力电容器与无功补偿,2017,38(06):91-96.

GU SUWEN, MA HONGZHONG, WANG HUAFANG, et al. Voltage Reactive Power Optimization on Low Voltage Distribution Network Based on Dynamic Multi-swarm Particle Swarm Optimization. [J]. Power capacitor & reactive power compensation, 2017, 38(6): 91-96.
[1]顾苏雯,马宏忠,王华芳,许洪华,徐晗,周昊.基于动态多种群粒子群算法的低压配电网电压无功优化[J].电力电容器与无功补偿,2017,38(06):91-96. DOI： 10.14044/j.1674-1757.pcrpc.2017.06.019.

GU SUWEN, MA HONGZHONG, WANG HUAFANG, et al. Voltage Reactive Power Optimization on Low Voltage Distribution Network Based on Dynamic Multi-swarm Particle Swarm Optimization. [J]. Power capacitor & reactive power compensation, 2017, 38(6): 91-96. DOI： 10.14044/j.1674-1757.pcrpc.2017.06.019.

摘要

粒子群算法已在配电网无功优化领域中得到广泛应用

而基本粒子群算法在求解多约束条件的低压配电网电压无功优化问题时耗时过长。为解决这一问题

提出了利用动态多种群粒子群算法对低压配电网进行电压无功优化方案。动态多种群粒子群算法通过轮盘赌将粒子按照各节点电压合格、各节点无功补偿容量不超过预设值和系统总无功不过补偿这3个约束条件进行动态分组

粒子根据改进的粒子速度位置更新公式飞行搜寻

最后获得满足以上约束条件的电压无功优化问题最优解。本文提出的电压无功优化方案将分散并联电容器组与配电变压器调压相结合

与集中补偿无功方式相比

节点电压偏移程度更小、电网损耗更低。本文应用的约束优化粒子算法与基本粒子群算法相比

运行速度大幅提高

计算结果较为优化。

Abstract

Particle swarm optimization（PSO）has been used widely in the reactive power optimization of distribution networks.However

the basic PSO algorithm takes long time to solve the voltage and reactive power optimization problem of low voltage distribution network with multiple constraints.For solving this problem

a scheme of voltage reactive power optimization for low-voltage distribution network using dynamic multi-population particle swarm optimization is proposed.The dynamic multi-swarm particle swarm optimization algorithm is dynamically classified in accordance with the constraints that voltage of each node is qualified

the reactive power compensation capacity of each node does not exceed the preset value and the total reactive power of the system is compensated rationally by roulette.The particles are searched in accordance with the updated particle velocity position updating formula.Finally

the optimal solution of the voltage reactive power optimization problem satisfying the above constraints can be obtained.The voltage reactive power optimization scheme proposed in this paper combines the decentralized parallel capacitor bank with the voltage regulation of the distribution transformer.And compared with the centralized reactive power compensation mode

the node voltage deviation of the scheme proposed is smaller and the grid loss is lower.The constrained optimization algorithm

compared to the basic particle swarm optimization algorithm

improves greatly the operation speed and optimizes the calculation results.

关键词

电压无功优化低压配电网约束优化粒子群算法

Keywords

voltage reactive power optimizationlow voltage distribution networkdynamic multi-swarmparticleswarmoptimization

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