Continuous quick group search optimizer for solving non-convex economic dispatch problems

被引：125

作者：

Moradi-Dalvand, Mohammad ^{[1
]}

Mohammadi-Ivatloo, Behnam ^{[1
]}

Najafi, Arsalan ^{[1
]}

Rabiee, Abbas ^{[1
]}

机构：

[1] Islamic Azad Univ, Ashtian Branch, Dept Elect Engn, Ashtian, Iran

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2012年 / 93卷

关键词：

Economic dispatch; Continuous quick group search optimizer algorithm; Valve-point effect; Prohibited operating zone; Ramp-rate limits; PARTICLE SWARM OPTIMIZATION; HYBRID DIFFERENTIAL EVOLUTION; LOAD DISPATCH; GENETIC ALGORITHM;

D O I：

10.1016/j.epsr.2012.07.009

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：

In this paper a new optimization algorithm is applied for solution of non-convex and large scale economic dispatch (ED) problems. A continuous version of quick group search optimizer (QGSO) algorithm is proposed. A more realistic ED formulation with considering valve-points effect, prohibited operating zones, transmission losses and ramp-rate limits is utilized. The performance of the proposed method is verified by implementation on five test systems. Case studies and numerical examples show that the proposed continuous QGSO algorithm has better solution quality comparing with the most of the latest reported algorithms in the literature. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：93 / 105

页数：13

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