Economic dispatch in power system by Genetic Algorithm and Dynamic Programming

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Economic dispatch in power system by Genetic Algorithm and Dynamic Programming

 

Author: So, Wai-sing James
Title: Economic dispatch in power system by Genetic Algorithm and Dynamic Programming
Degree: M.Sc.
Year: 2001
Subject: Electric power systems
Genetic algorithms
Dynamic programming
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Dept. of Electrical Engineering
Pages: 64 leaves : ill. ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1599630
URI: http://theses.lib.polyu.edu.hk/handle/200/2100
Abstract: This paper develops an economic dispatch algorithm for the determination of the optimum dispatch solution. Genetic algorithm and Dynamic Programming are two approaches widely used in problem solving. Genetic Algorithms are general-purpose search algorithms based upon the principles of evolution observed in nature. While Dynamic Programming is a nature, powerful and effectiveness approach to reveal the basic solution with a more spreads of operations. In the algorithm, the load balance constraint, the operating limit constraints are accounted for. Adjustment and modification for the two approaches are discussed. In the development of the algorithm, transmission losses are incorporated in the algorithm through the use of the B-matrix loss formula. A test system is used to demonstrate the economic dispatch application of the Genetic Algorithm and Dynamic Programming. Furthermore, the comparison between the two approaches has been discussed.

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