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Authors: Luís A. C. Roque 1 ; Dalila B. M. M. Fontes 2 and Fernando A. C. C. Fontes 2

Affiliations: 1 Instituto Superior de Engenharia do Porto, Portugal ; 2 Universidade do Porto, Portugal

ISBN: 978-989-8425-31-7

Keyword(s): Unit commitment, Genetic algorithm, Optimization, Electrical power generation.

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

Abstract: A Biased Random Key Genetic Algorithm (BRKGA) is proposed to find solutions for the unit commitment problem. In this problem, one wishes to schedule energy production on a given set of thermal generation units in order to meet energy demands at minimum cost, while satisfying a set of technological and spinning reserve constraints. In the BRKGA, solutions are encoded by using random keys, which are represented as vectors of real numbers in the interval [0,1]. The GA proposed is a variant of the random key genetic algorithm, since bias is introduced in the parent selection procedure, as well as in the crossover strategy. Tests have been performed on benchmark large-scale power systems of up 100 units for a 24 hours period. The results obtained have shown the proposed methodology to be an effective and efficient tool for finding solutions to large-scale unit commitment problems. Furthermore, form the comparisons made it can be concluded that the results produced improve upon the best kno wn solutions. (More)

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Paper citation in several formats:
A. C. Roque, L.; B. M. M. Fontes, D. and A. C. C. Fontes, F. (2010). A BIASED RANDOM KEY GENETIC ALGORITHM APPROACH FOR UNIT COMMITMENT PROBLEM.In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 332-339. DOI: 10.5220/0003076703320339

@conference{icec10,
author={Luís A. C. Roque. and Dalila B. M. M. Fontes. and Fernando A. C. C. Fontes.},
title={A BIASED RANDOM KEY GENETIC ALGORITHM APPROACH FOR UNIT COMMITMENT PROBLEM},
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={332-339},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003076703320339},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - A BIASED RANDOM KEY GENETIC ALGORITHM APPROACH FOR UNIT COMMITMENT PROBLEM
SN - 978-989-8425-31-7
AU - A. C. Roque, L.
AU - B. M. M. Fontes, D.
AU - A. C. C. Fontes, F.
PY - 2010
SP - 332
EP - 339
DO - 10.5220/0003076703320339

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