A hybrid FCASO-SQP method for solving the economic dispatch problems with valve-point effects
A hybrid FCASO-SQP method for solving the economic dispatch problems with valve-point effects
复制标题
求解带阀点效应经济调度问题的混合FCASO-SQP方法
DOI：
10.1016/j.energy.2011.11.052
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发表时间：
2012-02-01
期刊：
影响因子：
9
通讯作者：
Yang, Yixian
中科院分区：
文献类型：
--
作者：
Cai, Jiejin;Li, Qiong;Yang, Yixian
将模糊自适应混沌蚁群优化算法（FCASO）与序列二次规划（SQP）相结合，提出了一种求解电力系统经济调度（艾德）问题的混合方法--FCASO-SQP方法。FCASO算法是混合方法中的主要优化算法，并使用SQP技术对其结果进行微调以改善解。FCASO算法引入模糊系统来动态调整混沌蚁群算法的特征参数psi（d）和r（i）。将该方法应用于3机、13机和40机三种不同的电力系统，仿真结果表明了该方法对解决计及阀点效应的艾德故障诊断问题的适用性和有效性。(C)2011爱思唯尔有限公司保留所有权利。
In this paper, a hybrid method integrating the fuzzy adaptive chaotic ant swarm optimization (FCASO) algorithm and the sequential quadratic programming (SQP) techniques, named FCASO-SQP method, is presented for solving the economic dispatch (ED) problems in power systems. The FCASO algorithm is the main optimizer in the hybrid method and the SQP technique is used to fine tune its results to improve the solution. The FCASO algorithm introduces a fuzzy system to dynamically tune the characteristic parameters psi(d) and r(i) of chaotic ant swarm optimization (CASO). The proposed method was applied to three different cases of power systems with three units, thirteen units and forty units, and the simulation results demonstrate its applicability and effectiveness to solve the ED problems with valve-point effect. (C) 2011 Elsevier Ltd. All rights reserved.