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基于混合整数遗传算法的独立微电网优化配置分析

刘瑾 吕振宇 王琦 陈佳浩

电器与能效管理技术Issue(5):65-70,6.
电器与能效管理技术Issue(5):65-70,6.DOI:10.16628/j.cnki.2095-8188.2019.05.012

基于混合整数遗传算法的独立微电网优化配置分析

Analysis of Optimal Configuration of Islanded Micro-Grid Based on Mixed Integer Genetic Algorithm

刘瑾 1吕振宇 2王琦 1陈佳浩2

作者信息

  • 1. 南京师范大学 南瑞电气与自动化学院,江苏 南京 210042
  • 2. 南京师范大学 江苏省气电互联综合能源工程实验室,江苏 南京 210042
  • 折叠

摘要

Abstract

This paper proposed an optimal configuration model that considers the initial investment cost, replacement cost, operation and maintenance cost and other economic factors for the islanded micro-grid with wind energy, photovoltaic power generation and lead-acid battery energy storage.Considering the constraints of the independent micro-grid operation, a mixed decimal genetic algorithm with integer variables was used to solve the model, and the optimal configuration of the micro-grid distributed power supply and energy storage system was obtained.Taking the historical data of Nanchang in Jiangxi as an example, it verifies the validity and accuracy of the optimal configuration strategy proposed in this paper, and analyzes the influence of different unit prices on the optimal configuration strategy.

关键词

微电网/分布式电源/储能系统/遗传算法/优化配置

Key words

micro grid/distributed power supply/energy storage system/genetic algorithm/optimal configuration

分类

信息技术与安全科学

引用本文复制引用

刘瑾,吕振宇,王琦,陈佳浩..基于混合整数遗传算法的独立微电网优化配置分析[J].电器与能效管理技术,2019,(5):65-70,6.

电器与能效管理技术

2095-8188

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