Study on Reactive Power Optimization of Wind Power System Based on Improved Harmony Algorithm

HAO Xiaohong; ZHOU Bo

doi:10.14044/j.1674-1757.pcrpc.2017.02.019

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Study on Reactive Power Optimization of Wind Power System Based on Improved Harmony Algorithm

更新时间：2024-09-14

- Study on Reactive Power Optimization of Wind Power System Based on Improved Harmony Algorithm
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 38, Issue 2, Pages: 100-104(2017)
- 作者机构：
  
  兰州理工大学
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2017.02.019
  CLC： TM614;TM714.3
- Published：2017，
- 稿件说明：
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[1]郝晓弘,周勃.基于改进和声算法的含风电系统无功优化研究[J].电力电容器与无功补偿,2017,38(02):100-104.

HAO XIAOHONG, ZHOU BO. Study on Reactive Power Optimization of Wind Power System Based on Improved Harmony Algorithm. [J]. Power capacitor & reactive power compensation, 2017, 38(2): 100-104.
[1]郝晓弘,周勃.基于改进和声算法的含风电系统无功优化研究[J].电力电容器与无功补偿,2017,38(02):100-104. DOI： 10.14044/j.1674-1757.pcrpc.2017.02.019.

HAO XIAOHONG, ZHOU BO. Study on Reactive Power Optimization of Wind Power System Based on Improved Harmony Algorithm. [J]. Power capacitor & reactive power compensation, 2017, 38(2): 100-104. DOI： 10.14044/j.1674-1757.pcrpc.2017.02.019.

摘要

本文针对含双馈型风力发电机DFIG（double-fed induction generator

DFIG）的风电场接入电网时的无功补偿问题

建立了以有功网损最小为目标的无功优化模型

采用改进的和声搜索算法实现无功优化的方法。改进和声优化算法将和声搜索算法及粒子群算法相结合

利用和声搜素算法选出局部最优的优点和粒子群算法收敛速度快的特点

将和声库看做粒子种群

对其进行寻优

并对和声算法中音调调整率PAR（pitch-adjust-ting rate

PAR）和距离带宽bw（band width

bw）进行调节以提高对多维问题的搜索效率。文章以IEEE 33节点系统为基础

对无功优化算法进行仿真验证

实验结果表明文中所提出的改进型和声算法较其他算法具有更好的全局寻优性及快速收敛性

同时也能较好的改善各节点电压幅值。

Abstract

As for the issue of reactive power compensation for power system with double fed induction generator（DFIG）wind farm connected to power system

the reactive power optimization model is set up with the minimum active power loss as objective and reactive power optimization method is achieved by the use of improved harmony search algorithm. The combination of the improved harmony optimization algorithm with harmony search algorithm and particle swarm algorithm

the most partial optimal advantage is selected by the use of harmony search algorithm and the fast convergence speed feature of particle swarm optimization algorithm are selected. The search is carried out with the harmony library as particle swarm

and PAR（pitch-adjust-ting rate）and bw（band width）in the harmony algorithm are adjusted to improve the search efficiency of multidimensional problems. In this paper

the IEEE 33 node system is taken as base

the reactive power optimization algorithm is simulated and verified. It is shown by the experimental results that the proposed algorithm has better global optimization and fast convergence compared to other algorithms and

at the same time

can also improve the voltage amplitude of each node.

关键词

双馈异步风力发电机（DFIG）无功优化IEEE 33粒子群和声算法

Keywords

double-fed induction generator（DFIG）reactive power optimizationIEEE 33particle swarm harmony algorithm

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