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Authors: Tahir Nadeem Malik 1 ; Abdul Qudus Abbasi 2 and Aftab Ahmad 3

Affiliations: 1 University of Engg.& Tech., Pakistan ; 2 Quaid-i-Azam University, Pakistan ; 3 National Power Control Centre WAPDA; University of Engg.& Tech., Pakistan

ISBN: 978-972-8865-59-7

Keyword(s): Artificial Intelligence (AI), Software Architecture, Framework, Power Economic Dispatch (PED), Genetic Algorithm (GA), GA Parameters, White-box Reuse.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: Economic Dispatch Problem (EDP) is the important step in Power System operation and is non-convex optimization problem. It has been solved comprehensively with mathematical programming approaches. However, these approaches handle non-convexity with assumption and resulting in an inaccurate dispatch. Genetic algorithms are potential tools for Economic dispatch solution. Computational framework “PED_Frame” has been developed which can handle economic dispatch solutions based on mathematical programming and Genetic Algorithm based approaches independently and in hybrid form. It has been tested on standard three machine and twenty machine test systems.

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Paper citation in several formats:
Nadeem Malik T.; Qudus Abbasi A.; Ahmad A. and (2006). COMPUTATIONAL FRAMEWORK FOR POWER ECONOMIC DISPATCH USING GENETIC ALGORITHM.In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-59-7, pages 191-194. DOI: 10.5220/0001203601910194

@conference{icinco06,
author={Tahir {Nadeem Malik} and Abdul {Qudus Abbasi} and Aftab Ahmad},
title={COMPUTATIONAL FRAMEWORK FOR POWER ECONOMIC DISPATCH USING GENETIC ALGORITHM},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2006},
pages={191-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001203601910194},
isbn={978-972-8865-59-7},
}

TY - CONF

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - COMPUTATIONAL FRAMEWORK FOR POWER ECONOMIC DISPATCH USING GENETIC ALGORITHM
SN - 978-972-8865-59-7
AU - Nadeem Malik, T.
AU - Qudus Abbasi, A.
AU - Ahmad, A.
PY - 2006
SP - 191
EP - 194
DO - 10.5220/0001203601910194

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