An adaptive artificial bee colony algorithm for long-term economic dispatch in cascaded hydropower systems

作     者：Liao, Xiang Zhou, Jianzhong Zhang, Rui Zhang, Yongchuan 

作者机构：Huazhong Univ Sci & Technol Sch Hydropower & Informat Engn Wuhan 430074 Hubei Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS》 (Int J Electr Power Energy Syst)

年 卷 期：2012年第43卷第1期

页      面：1340-1345页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：Specialized Research Fund for the Doctoral Program of Higher Education of China Special Research Foundation for the Public Welfare Industry of the Ministry of Water Resources National key technology RD program [2008BAB29B08-06] 

主　　题：Economic dispatch Artificial bee colony algorithm Adaptive Constrained optimization Swarm intelligence Cascaded hydropower system 

摘      要：In this paper, we present a novel adaptive artificial bee colony (AABC) algorithm and compare its efficiency with other existing algorithms for long-term dispatch of cascaded hydropower systems. We formulate the long-term economic dispatch of hydropower systems as a complicated nonlinear optimization problem with a group of complex constraints. We analyze the performances of three different values of the control parameter modification rate (MR) in the AABC. We modify the employed bee phase to improve the global optimal capability of the AABC algorithm, and utilize a novel probabilistic method to enhance the search ability of the onlooker bee phase. Furthermore, we change the scout bee phase to avoid local maxima. We demonstrate the performance of the AABC algorithm and compare it with other algorithms using the data from hydropower systems of Three Gorges in China. (C) 2012 Elsevier Ltd. All rights reserved.