A hybrid FCASO-SQP method for solving the economic dispatch problems with valve-point effects

被引：76

作者：

Cai, Jiejin ^{[1
,2
]}

Li, Qiong ^{[3
]}

Li, Lixiang ^{[4
]}

Peng, Haipeng ^{[4
]}

Yang, Yixian ^{[4
]}

机构：

[1] Sun Yat Sen Univ, Sch Phys & Engn, Guangzhou 510275, Guangdong, Peoples R China

[2] Sun Yat Sen Univ, Sino French Inst Nucl Engn & Technol, Guangzhou 510275, Guangdong, Peoples R China

[3] S China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou 510640, Guangdong, Peoples R China

[4] Beijing Univ Posts & Telecommun, Informat Secur Ctr, Beijing 100876, Peoples R China

来源：

ENERGY | 2012年 / 38卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Economic dispatch; Fuzzy adaptive chaotic ant swarm optimization; Sequential quadratic programming; Evolutionary algorithm; Power system; EVOLUTIONARY PROGRAMMING TECHNIQUES; PARTICLE SWARM OPTIMIZATION; LOAD DISPATCH; GENETIC ALGORITHM; FLOW CONSTRAINTS; PSO;

D O I：

10.1016/j.energy.2011.11.052

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

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.

引用

页码：346 / 353

页数：8

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