Cooperative Optimal Operation of Micro-grid Based on Improved CSO

LI Jingya; YI Geng; HU Hanmei; HUANG Jingguang

doi:10.13296/j.1001-1609.hva.2019.07.029

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Cooperative Optimal Operation of Micro-grid Based on Improved CSO

更新时间：2025-04-26

- Cooperative Optimal Operation of Micro-grid Based on Improved CSO
- High VoltageApparatus Vol. 55, Issue 7, Pages: 203-210(2019)
- 作者机构：
  
  1. 国网新疆电力公司经济技术研究院
  2. 三峡大学电气与新能源学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2019.07.029
  CLC： TM732
- Published：2019
- 稿件说明：
移动端阅览
[1]李静雅,易庚,胡汉梅,黄景光.基于改进鸡群算法的微电网协同优化运行研究[J].高压电器,2019,55(07):203-210.

LI Jingya, YI Geng, HU Hanmei, et al. Cooperative Optimal Operation of Micro-grid Based on Improved CSO[J]. High VoltageApparatus, 2019, 55(7): 203-210.
[1]李静雅,易庚,胡汉梅,黄景光.基于改进鸡群算法的微电网协同优化运行研究[J].高压电器,2019,55(07):203-210. DOI： 10.13296/j.1001-1609.hva.2019.07.029.

LI Jingya, YI Geng, HU Hanmei, et al. Cooperative Optimal Operation of Micro-grid Based on Improved CSO[J]. High VoltageApparatus, 2019, 55(7): 203-210. DOI： 10.13296/j.1001-1609.hva.2019.07.029.

摘要

文中考虑了含风、光、微型燃气轮机、火电机组、蓄电池、燃料电池的典型微电网系统协同优化运行问题。综合考虑出力源的发电成本、燃料成本、环境治理成本、购电成本和售电收益后

建立了典型微电网系统并网和孤网两种运行方式下的优化函数

采用粒子群算法和改进鸡群算法对其优化函数进行求解

得出优化周期内各电源出力情况

并对仿真分析比较

得出具有普适性的控制策略

并验证改进鸡群算法的优点。

Abstract

This article considers cooperative optimal operation of the typical micro-grid system combining wind tur-bine

photovoltaic cell

micro turbine

thermal power

storage battery and full cell.After considering the power gener-ation cost

fuel cost

environmental management cost

purchase cost and sales income. The optimization function ofgrid system and grid network is analyzed by particle swarm optimization algorithm and improved chicken swarm opti-mization

and the output of each power supply in the optimization period is obtained

and the simulation analysis andcomparison are made. Having universal control strategy

and verifying the advantages of the improved chicken swarmoptimization.

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Related Institution

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University

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