Dynamic economic dispatch using artificial immune system for units with valve-point effect

被引：123

作者：

Hemamalini, S. ^{[1
]}

Simon, Sishaj P. ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect & Elect Engn, Tiruchirappalli 620014, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2011年 / 33卷 / 04期

关键词：

Artificial immune system algorithm; Clonal selection principle; Dynamic economic dispatch; Ramp rate limits; Valve-point loading; OPTIMIZATION APPROACH; PSO; SQP;

D O I：

10.1016/j.ijepes.2010.12.017

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：

Dynamic economic dispatch (DED) is an important dynamic problem in power system operation and control. The objective of the problem is to schedule power generation for the online units over a time horizon, satisfying the unit and ramp-rate constraints. In this paper, clonal selection based artificial immune system (AIS) algorithm is used to solve the dynamic economic dispatch problem for generating units with valve-point effect. The feasibility of the proposed method is validated with ten and five unit test systems for a period of 24 h. Results obtained with the proposed approach are compared with other techniques in the literature. The results obtained substantiate the robustness and proficiency of the proposed methodology over other existing techniques in terms of solution quality and computational efficiency. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：868 / 874

页数：7

共 29 条

[11]

Khawa T, 2004, NATIONAL POWER & ENERGY CONFERENCE: PECON 2004, PROCEEDINGS, P31

[12]

Leandro Nunes C, 2002, Artificial Immune Systems: A New Computational Intelligence Approach

[13] Hybrid genetic approaches to ramping rate constrained dynamic economic dispatch [J].

Li, F ;

Morgan, R ;

Williams, D .

ELECTRIC POWER SYSTEMS RESEARCH, 1997, 43 (02) :97-103

[14] Dynamic Economic Dispatch Using a Hybrid Hopfield Neural Network Quadratic Programming Based Technique [J].

Mekhamer, S. F. ;

Abdelaziz, A. Y. ;

Kamh, M. Z. ;

Badr, M. A. L. .

ELECTRIC POWER COMPONENTS AND SYSTEMS, 2009, 37 (03) :253-264

[15] Adaptive particle swarm optimization approach for static and dynamic economic load dispatch [J].

Panigrahi, B. K. ;

Pandi, V. Ravikumar ;

Das, Sanjoy .

ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (06) :1407-1415

[16]

PANIGRAHI BK, 2008, ENERG CONVERS MANAGE, V49, P1175

[17] Simulated annealing technique for dynamic economic dispatch [J].

Panigrahi, CK ;

Chattopadhyay, PK ;

Chakrabarti, RN ;

Basu, M .

ELECTRIC POWER COMPONENTS AND SYSTEMS, 2006, 34 (05) :577-586

[18] DYNAMIC ECONOMIC-DISPATCH OF GENERATION [J].

ROSS, DW ;

KIM, S .

IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1980, 99 (06) :2060-2068

[19] APPLICATION OF LINEAR-PROGRAMMING REDISPATCH TECHNIQUE TO DYNAMIC GENERATION ALLOCATION [J].

SOMUAH, CB ;

KHUNAIZI, N .

IEEE TRANSACTIONS ON POWER SYSTEMS, 1990, 5 (01) :20-26

[20] Use of an artificial immune network optimization approach to tune the parameters of a discrete variable structure controller [J].

Sumar, Rodrigo R. ;

Rodrigues Coelho, Antonio Augusto ;

Coelho, Leandro dos Santos .

EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) :5009-5015

← 1 2 3 →