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Published in:
2010 | OriginalPaper | Chapter
A Novel Multi-objective Formulation for Hydrothermal Power Scheduling Based on Reservoir End Volume Relaxation
Authors : Aniruddha Basak, Siddharth Pal, V. Ravikumar Pandi, B. K. Panigrahi, M. K. Mallick, Ankita Mohapatra
Published in: Swarm, Evolutionary, and Memetic Computing
Publisher: Springer Berlin Heidelberg
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The paper presents a new multi-objective approach to determine the optimal power generation for short term hydrothermal scheduling. Generation cost is considered as one objective. Novelty of the paper lies in choosing the second objective. Instead of introducing a hard constraint on the reservoir end volume we have reasoned that allowing it to relax makes better solutions feasible. The degree of relaxation is kept as the second objective. We have tested our approach on a multi-reservoir cascaded hydrothermal system with four hydro and one thermal plant. We have solved the optimization problem using a decomposition based MOEA called MOEA/D-DE.