Improved Ant Colony Algorithm for Distribution Reactive Power Optimization

GUO Heng; LUO Ke; TANG Xian-ying

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Improved Ant Colony Algorithm for Distribution Reactive Power Optimization

更新时间：2024-09-14

- Improved Ant Colony Algorithm for Distribution Reactive Power Optimization
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Issue 4, Pages: 21-24(2005)
- 作者机构：
  
  1. 长沙理工大学计算机与通信工程学院
  2. 长沙理工大学计算机与通信工程学院湖南长沙410076
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM714
- Published：2005，
- 稿件说明：
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[1]郭恒,罗可,唐贤瑛.基于蚂蚁算法的配电网无功优化[J].电力电容器,2005,{4}(04):21-24.

GUO HENG, LUO KE, TANG XIAN-YING. Improved Ant Colony Algorithm for Distribution Reactive Power Optimization. [J]. Power capacitor & reactive power compensation, 2005, (4): 21-24.
[1]郭恒,罗可,唐贤瑛.基于蚂蚁算法的配电网无功优化[J].电力电容器,2005,{4}(04):21-24. DOI：

GUO HENG, LUO KE, TANG XIAN-YING. Improved Ant Colony Algorithm for Distribution Reactive Power Optimization. [J]. Power capacitor & reactive power compensation, 2005, (4): 21-24. DOI：

摘要

电力系统中无功功率的优化配置在电网经济运行中占有十分重要的地位

无功优化问题是一个复杂的组合优化问题

蚁群算法是用于解决组合优化问题的一种高效的随机化内启发式全局搜索技术。文中采用改进的蚁群算法来解决配电网络无功优化问题

建立了相应的数学模型。并以某城市配电网无功优化结果表明这种方法搜索效率高易于找到全局最优解的优点。

Abstract

Reactive power optimization is a complex combination optimization problem

and ant colony algorithm is highly efficient for quickly finding high quality solutions to combination optimization problems.In this paper

an improved ant algorithm is introduced to the reactive power optimization

and the corresponding mathematical model.Finally one city′s reactive power optimization solution algorithm is presented.The result of this mathematical method shows that ant colony algorithm′s advantage on computing speed.

关键词

蚂蚁算法无功优化电力系统外激素人工蚂蚁蚁群优化

Keywords

Ant colony algorithmreactive power optimizationpower systemPheromoreArtificial antAnt Colony Optimization

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