• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (08): 1533-1539.

• 论文 • 上一篇    下一篇

基于人工蜂群优化法的多区域电力系统经济调度

郑晓菁   

  1. (安徽理工大学电气与信息工程学院,安徽 淮南 232001)
  • 收稿日期:2014-10-14 修回日期:2014-12-16 出版日期:2015-08-25 发布日期:2015-08-25

Multi-area economic dispatch of power system
based on artificial bee colony optimization  

ZHENG Xiaojing   

  1. (School of Electrical and Information Engineering,Anhui University of Science & Technology,Huainan 232001,China)
  • Received:2014-10-14 Revised:2014-12-16 Online:2015-08-25 Published:2015-08-25

摘要:

针对多区域电力系统经济调度问题,在满足联络线传输限制、多种燃料特征、阀点效应和禁止运转区的约束条件下,综合考虑多区域电力负载成本最小的要求,建立数学计算模型,利用人工蜂群优化法快速地寻找全局最优解。通过两个不同规模、不同程度复杂性的仿真测试系统进行计算,结果验证了所提算法的可行性。考虑获得解的质量,将人工蜂群优化算法与DE、EP、RCGA算法进行对比分析,结果表明所提算法在实际电力系统中解决多区域经济分配问题具有有效性和优越性。关键词:

关键词: 多区域经济分配, 人工蜂群优化算法, 联络线约束, 电力系统, 功率平衡约束

Abstract:

Aiming at the problems of multiarea economic dispatch( MAED ) of the power system, such as tie line transmission losses ,multiple fuels, valvepoint loading and prohibited operating zones, we design a mathematical model in which  the requirement of the minimum cost of multiarea power load is taken into account and the artificial bee colony optimization is utilized to quickly search for the global optimal solution. The effectiveness and feasibility of the proposed algorithm have been verified on two different test systems, both small and large, involving varying degrees of complexity. Compared with algorithms including differential evolution, evolutionary programming and real coded genetic algorithm, the proposed algorithm is a promising alternative approach for solving the MAED problems in practical power system. 

Key words: multi-area economic dispatch;artificial bee colony optimization;tie line constraints;power system;power balance constraints