Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (34): 21-23.DOI: 10.3778/j.issn.1002-8331.2010.34.007

• 博士论坛 • Previous Articles     Next Articles

Ethnic group optimization for economic load dispatch of power system

CHEN Hao1，PAN Xiao-ying1，CUI Du-wu2   

  1. 1.School of Computer Science and Technology，Xi’an University of Post & Telecommunication，Xi’an 710121，China
    2.School of Computer Science and Engineering，Xi’an University of Technology，Xi’an 710048，China
  • Received:2010-09-08 Revised:2010-10-25 Online:2010-12-01 Published:2010-12-01
  • Contact: CHEN Hao

电力系统经济负荷分配的族群优化方法

陈 皓1，潘晓英1，崔杜武2   

  1. 1.西安邮电学院 计算机学院，西安 710121
    2.西安理工大学 计算机学院，西安 710048
  • 通讯作者: 陈 皓

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Abstract: The Economic Load Dispatch（ELD） problem of power system is a kind of multidimensioned，discrete，nonlinear constrained numerical optimization problems.In this paper，EGEA/LT，an improved ethnic group evolution algorithm based on linear truncation strategy is used，to solve ELD problem and test on 3 systems consisting of 3，6，and 15 thermal units.The results show EGEA/LT is a competent algorithm for solving ELD problem.

Key words: ethnic group evolution algorithm, linear truncation strategy, economic load dispatch

摘要： 经济负荷分配（Economic Load Dispatch，ELD）是电力系统中一种重要的优化问题，它可归为一类高维、离散、非线性的多约束函数优化问题。针对这类问题，提出了一种基于线性截取策略的改进族群进化算法——EGEA/LT，并使用EGEA/LT对IEEE的3机、6机和15机3个仿真系统进行了优化实验，将实验结果与其他典型算法优化结果进行比较，说明了EGEA/LT是一种求解ELD问题的有效方法。

关键词: 族群进化算法, 线性截取策略, 经济负荷分配

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