基于改进粒子群算法的分布式光伏集群划分与无功优化策略

胡雪凯; 尹瑞; 时珉; 朱鹏程; 李铁成; 王一峰; 胡鹏飞

doi:10.14044/j.1674-1757.pcrpc.2021.04.003

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基于改进粒子群算法的分布式光伏集群划分与无功优化策略

非同步机电源大规模接入与无功补偿问题 | 更新时间：2024-09-14

- 基于改进粒子群算法的分布式光伏集群划分与无功优化策略
- Distributed Photovoltaic Cluster Partition and Reactive Power Optimization Strategy Based on Improved Particle Swarm Optimization Algorithm
- 电力电容器与无功补偿 2021年42卷第4期页码：14-21
- 作者机构：
  
  1. 国网河北省电力有限公司电力科学研究院
  2. 国网河北省电力有限公司
  3. 浙江大学
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2021.04.003
  中图分类号： TP18;TM615
- 纸质出版日期：2021，
- 稿件说明：
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胡雪凯, 尹瑞, 时珉, 等. 基于改进粒子群算法的分布式光伏集群划分与无功优化策略[J]. 电力电容器与无功补偿, 2021,42(4):14-21.

HU XUEKAI, YIN RUI, SHI MIN, et al. Distributed Photovoltaic Cluster Partition and Reactive Power Optimization Strategy Based on Improved Particle Swarm Optimization Algorithm. [J]. Power capacitor & reactive power compensation, 2021, 42(4): 14-21.
胡雪凯, 尹瑞, 时珉, 等. 基于改进粒子群算法的分布式光伏集群划分与无功优化策略[J]. 电力电容器与无功补偿, 2021,42(4):14-21. DOI： 10.14044/j.1674-1757.pcrpc.2021.04.003.

HU XUEKAI, YIN RUI, SHI MIN, et al. Distributed Photovoltaic Cluster Partition and Reactive Power Optimization Strategy Based on Improved Particle Swarm Optimization Algorithm. [J]. Power capacitor & reactive power compensation, 2021, 42(4): 14-21. DOI： 10.14044/j.1674-1757.pcrpc.2021.04.003.

摘要

分布式光伏系统在电网中的应用越来越广泛

光伏波动性强

稳定性差

其大规模接入不仅增加了配电网结构的复杂性

而且使电力系统的调节更加困难

给电网运行带来不利的影响。本文主要研究了含大规模分布式电源配电网的集群划分和无功优化问题。首先应用PSO改进的K-means聚类算法

找出较好的初始聚类中心

然后根据节点间的电气距离

对配电网进行集群划分。以节点的电压偏移总量和线路的有功损耗最小作为目标

采用动态调整粒子群算法对电力系统进行无功优化。最后在Matlab平台上仿真验证了所提集群划分和无功优化方法的有效性。

Abstract

The application of distributed photovoltaic system in power grid is more and more extensive. The photovoltaic system has strong volatility and poor stability. Its large-scale access not only increases the complexity of distribution network structure

but also makes the adjustment of power system more difficult

which brings adverse effects to the operation of power grid. This paper mainly studies the cluster partition and reactive power optimization of distribution network with large-scale distributed generation.Firstly

the K-means clustering algorithm improved by PSO is applied to find the better initial clustering center

and then the distribution network is divided into clusters according to the electrical distance between nodes. Aiming at minimizing the total voltage offset of nodes and the active power loss of lines

the dynamic adjustment particle swarm optimization algorithm is used to optimize the reactive power of power system. Finally

the effectiveness of the proposed method is verified by simulation on MATLAB platform.

关键词

分布式能源集群划分无功优化粒子群优化算法

Keywords

distributed energycluster partitionreactive power optimizationPSO algorithm

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