基于和声搜索算法的光伏电源选址定容研究

王佼

doi:10.3969/j.issn.1672-3643.2023.06.005

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基于和声搜索算法的光伏电源选址定容研究

更新时间：2026-09-14

- 基于和声搜索算法的光伏电源选址定容研究
- Research on location and capacity selection of distributed photovoltaic systems based on the harmony search algorithm
- 宁夏电力 2023年第6期
- 作者机构：
- 作者简介：
  
  王佼（1987），男，硕士，高级工程师，从事一次设备故障诊断和电气试验工作（E-mail:hegongwj@126.com）。
- 基金信息：
- DOI：10.3969/j.issn.1672-3643.2023.06.005
  中图分类号：
- 网络首发：2023-11-19，
  
  纸质出版：2023
- 稿件说明：
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王佼. 基于和声搜索算法的光伏电源选址定容研究[J]. 宁夏电力, 2023,(6).

WANG Jiao. Research on location and capacity selection of distributed photovoltaic systems based on the harmony search algorithm[J]. Ningxia Electric Power, 2023, (6).
王佼. 基于和声搜索算法的光伏电源选址定容研究[J]. 宁夏电力, 2023,(6). DOI： 10.3969/j.issn.1672-3643.2023.06.005.

WANG Jiao. Research on location and capacity selection of distributed photovoltaic systems based on the harmony search algorithm[J]. Ningxia Electric Power, 2023, (6). DOI： 10.3969/j.issn.1672-3643.2023.06.005.

摘要

配电网中分布式光伏（distributed photovoltaic，PV）接入比例不断增加，加剧了配电网运行工况的不确定性。研究了PV并网的选址定容问题，仿真分析了PV接入对配电网的影响:首先

从负荷均匀分布模型出发分析网损与PV接入位置，以及与PV容量的关系，然后

建立以网络最小损耗为优化目标的选址定容模型，提出一种基于和声搜索算法（harmony search algorithm，HSA）的选址定容优化方法;最后

在IEEE33节点配电网模型上验证了所提方法的可行性与高效性。仿真结果表明，以网损最小为优化目标的选址定容方案能够改善电压质量，提高配电网的静态电压稳定性。

Abstract

The increasing integration of distributed photovoltaic (PV) systems into the distribution network exacerbates the uncertainty of the operating conditions of the distribution network.In this paper

the location and capacity selection of PV is studied

and the influence of PV access on distribution network is analyzed by simulation.Firstly

the relationship between network losses and PV location

and as well as PV capacity is analyzed using a uniform load distribution model.Subsequently

an optimization model is developed to minimize network losses.An optimization approach based on the harmony search algorithm (HSA) is proposed for the location and capacity decisions.Finally

the feasibility and efficiency of the proposed method are validated using the IEEE33-node distribution network model.Simulation results show that optimizing for minimal network loss significantly bolsters the voltage quality and enhance the static voltage stability of the distribution network.

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