Abstract
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.
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Basak, A., Pal, S., Pandi, V.R., Panigrahi, B.K., Mallick, M.K., Mohapatra, A. (2010). A Novel Multi-objective Formulation for Hydrothermal Power Scheduling Based on Reservoir End Volume Relaxation. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2010. Lecture Notes in Computer Science, vol 6466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17563-3_84
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DOI: https://doi.org/10.1007/978-3-642-17563-3_84
Publisher Name: Springer, Berlin, Heidelberg
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