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http://dx.doi.org/10.5370/JEET.2013.8.5.959

Hybrid Artificial Immune System Approach for Profit Based Unit Commitment Problem  

Lakshmi, K. (Dept. of Electrical and Electronics Engineering, K. S. Rangasamy College of Technology)
Vasantharathna, S. (Dept. of Electrical and Electronic Engineering, Coimbatore Institute of Technology)
Publication Information
Journal of Electrical Engineering and Technology / v.8, no.5, 2013 , pp. 959-968 More about this Journal
Abstract
This paper presents a new approach with artificial immune system algorithm to solve the profit based unit commitment problem. The objective of this work is to find the optimal generation scheduling and to maximize the profit of generation companies (Gencos) when subjected to various constraints such as power balance, spinning reserve, minimum up/down time and ramp rate limits. The proposed hybrid method is developed through adaptive search which is inspired from artificial immune system and genetic algorithm to carry out profit maximization of generation companies. The effectiveness of the proposed approach has been tested for different Gencos consists of 3, 10 and 36 generating units and the results are compared with the existing methods.
Keywords
Artificial immune system; Genetic algorithm; Lagrange relaxation; Profit based unit commitment and deregulation;
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Times Cited By KSCI : 1  (Citation Analysis)
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