Hybridization of bee colony optimization and sequential quadratic programming for dynamic economic dispatch

被引:74
作者
Basu, M. [1 ]
机构
[1] Jadavpur Univ, Dept Power Engn, Kolkata 700098, India
关键词
Dynamic economic dispatch; Bee colony optimization; Sequential quadratic programming; ALGORITHM; GENERATION;
D O I
10.1016/j.ijepes.2012.08.026
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Dynamic economic dispatch deals with the scheduling of online generator outputs with predicted load demands over a certain period of time so as to operate an electric power system most economically. This paper proposes a hybrid methodology integrating bee colony optimization with sequential quadratic programming for solving dynamic economic dispatch problem of generating units considering valve-point effects. This hybrid method incorporates bee colony optimization as a base level search which can give a good direction to the optimal region and sequential quadratic programming as a local search procedure which is used to fine tune that region for achieving the final solution. Numerical results of a ten-unit system have been presented to demonstrate the performance and applicability of the proposed method. The results obtained from the proposed method are compared with those obtained from hybrid of particle swarm optimization and sequential quadratic programming and hybrid of evolutionary programming and sequential quadratic programming. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:591 / 596
页数:6
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