基于改进粒子群算法的农村配电网分布式光伏选址定容研究

朱训君; 王宾; 李海雨; 刘阳; 高涵冰; 李德宇

doi:10.14044/j.1674-1757.pcrpc.2020.04.036

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基于改进粒子群算法的农村配电网分布式光伏选址定容研究

清洁能源领域应用技术 | 更新时间：2024-09-14

- 基于改进粒子群算法的农村配电网分布式光伏选址定容研究
- Study on Distributed Photovoltaic Location and Capacity Selection of Rural Distribution Network Based on Improved Particle Swarm Optimization
- 电力电容器与无功补偿 2020年41卷第4期页码：206-214
- 作者机构：
  
  1. 山东理工大学电气与电子工程学院
  2. 清华大学电机系
  3. 国网冀北电力有限公司承德供电公司
- 作者简介：
- 基金信息：
  
  国家电网公司冀北电力公司科技项目（5201061801QL）;北京自然科学基金项目（3152016）
- DOI：10.14044/j.1674-1757.pcrpc.2020.04.036
  中图分类号： TM715;TM727.1
- 纸质出版日期：2020，
- 稿件说明：
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[1]朱训君,王宾,李海雨,刘阳,高涵冰,李德宇.基于改进粒子群算法的农村配电网分布式光伏选址定容研究[J].电力电容器与无功补偿,2020,41(04):206-214.

ZHU XUNJUN, WANG BIN, LI HAIYU, et al. Study on Distributed Photovoltaic Location and Capacity Selection of Rural Distribution Network Based on Improved Particle Swarm Optimization. [J]. Power capacitor & reactive power compensation, 2020, 41(4): 206-214.
[1]朱训君,王宾,李海雨,刘阳,高涵冰,李德宇.基于改进粒子群算法的农村配电网分布式光伏选址定容研究[J].电力电容器与无功补偿,2020,41(04):206-214. DOI： 10.14044/j.1674-1757.pcrpc.2020.04.036.

ZHU XUNJUN, WANG BIN, LI HAIYU, et al. Study on Distributed Photovoltaic Location and Capacity Selection of Rural Distribution Network Based on Improved Particle Swarm Optimization. [J]. Power capacitor & reactive power compensation, 2020, 41(4): 206-214. DOI： 10.14044/j.1674-1757.pcrpc.2020.04.036.

摘要

为了解决农村配电网电压质量低和网络损耗严重等问题

建立了考虑低碳环保费用的改善电压过低和网损的分布式光伏布点定容方案

以分布式光伏投资费用、低碳环保费用、损耗费用、购电费用以及运行维护费用最小化为规划模型

利用三角模糊数层次分析法对数学规划模型进行处理。为解决粒子群算法的"早熟"问题

提出引入动态差分变异、杂交操作及保留精英策略改进标准粒子群算法

并对所建立的数学模型进行求解分析。通过实际案例验证了所提规划模型的经济性和优化方案对改善电压质量和网损的有效性以及算法的准确性。

Abstract

For solving such problem as low voltage quality and serious network loss in rural distribution network

the distributed photovoltaic location and capacity proposal for improving low voltage and network loss is established with consideration of low carbon environmental protection cost.The planning model is based on the minimum cost of distributed photovoltaic investment

low c arbon environmental protection

loss

electricity purchase

operation and maintenance.The triangular fuzzy number analytic hierarchy process is used to process the mathematical programming model.In order to solve the premature problem of particle swarm optimization

the improved standard particle swarm optimization algorithm by introducing dynamic differential mutation、hybrid operation and elite retention strategy is proposed and the proposed programming model is solved and analyzed.The effectiveness for improving voltage quality and network loss and the algorithm correctness by the proposed economy and optimization of the planning model are verified by the practical cases.

关键词

农村配电网电压质量网络损耗分布式光伏低碳环保粒子群算法选址定容

Keywords

rural distribution networkvoltage qualitynetwork lossdistributed photovoltaiclow carbon environmental protectionparticle swarm optimizationlocation and capacity selection

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