Short-term hydrothermal generation scheduling model using a genetic algorithm
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Date
2003
Authors
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Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Abstract
A new model to deal with the short-term generation scheduling problem for hydrothermal systems is proposed. Using genetic algorithms (GAs), the model handles simultaneously the subproblems of short-term hydrothermal coordination, unit commitment, and economic load dispatch. Considering a scheduling horizon period of a week, hourly generation schedules are obtained for each of both hydro and thermal units. Future cost curves of hydro generation, obtained from long and mid-term models, have been used to optimize the amount of hydro energy to be used during the week. In the genetic algorithm (GA) implementation, a new technique to represent candidate solutions is introduced, and a set of expert operators has been incorporated to improve the behavior of the algorithm. Results for a real system are presented and discussed.
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Keywords
genetic algorithms, hydrothermal systems, short-term hydrothermal scheduling, UNIT COMMITMENT PROBLEM, POWER-FLOW CONTROL, LAGRANGIAN-RELAXATION, DECOMPOSITION TECHNIQUES, TABU SEARCH, SYSTEMS, OPTIMIZATION, NETWORK, CONSTRAINTS, DESIGN