Short-term hydro-thermal scheduling using particle swarm optimization method

被引：177

作者：

Yu, Binghui ^{[1
]}

Yuan, Xiaohui ^{[1
]}

Wang, Jinwen ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Coll Hydropower & Informat Engn, Wuhan 430074, Peoples R China

来源：

ENERGY CONVERSION AND MANAGEMENT | 2007年 / 48卷 / 07期

基金：

中国国家自然科学基金;

关键词：

particle swarm optimization; hydro-thermal system; generation scheduling;

D O I：

10.1016/j.enconman.2007.01.034

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The approaches based on different particle swarm optimization (PSO) techniques are applied to solve the short-term hydro-thermal scheduling problem. In the proposed methods, many constraints of the hydro-thermal system, such as power balance, water balance, reservoir volume limits and the operation limits of hydro and thermal plants, are considered. The feasibility of the proposed algorithm is demonstrated through an example system, and the results are compared with the results of a genetic algorithm and evolutionary programming approaches. The experimental results show that all the PSO algorithms have the ability to achieve nearly global solutions, but a local version of PSO with inertia weight appears to be the best amongst all the PSOs in terms of high quality solution. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1902 / 1908

页数：7

共 23 条

[1]

Abido M.A., 2002, IEEE T ENERGY CONVER, V17, P723

[2] Optimal power flow using particle swarm optimization [J].

Abido, MA .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2002, 24 (07) :563-571

[3] Using selection to improve particle swarm optimization [J].

Angeline, PJ .

1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS, 1998, :84-89

[4] Genetic aided scheduling of hydraulically coupled plants in hydro-thermal coordination [J].

Chen, PH ;

Hang, HG .

IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (02) :975-981

[5]

Clerc M., 2002, Proceedings of the 1999 Congress on Evolutionary Computation, DOI [10.1109/CEC.1999.785513, DOI 10.1109/CEC.1999.785513]

[6]

EBERHART RC, 1998, P IEEE INT C EV COMP, P1942

[7] Particle swarm optimization to solving the economic dispatch considering the generator constraints [J].

Gaing, ZL .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) :1187-1195

[8] Short-term hydrothermal scheduling through evolutionary programming technique [J].

Hota, PK ;

Chakrabarti, R ;

Chattopadhyay, PK .

ELECTRIC POWER SYSTEMS RESEARCH, 1999, 52 (02) :189-196

[9]

Kennedy J, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, P1942, DOI 10.1109/icnn.1995.488968

[10]

Lui Guangyi, 1988, Proceedings of the CSEE, V8, P9

← 1 2 3 →