Resolution of the bi-objective optimization problem for the dispatch of hydroelectric plants under conditions of low inflow using the NSGA II algorithm
Journal: Region - Water Conservancy DOI: 10.32629/rwc.v8i2.3797
Abstract
Among the consequences of climate change are the increase in temperature and changes in rainfall patterns that bring longer periods of drought. This creates limitations in the management of hydroelectric plant reservoirs, restricting in some cases the amount of electricity generated. The objective of this research is to solve the multi-objective optimization problem that seeks to minimize the electric power production of hydroelectric plants with low inflow and, at the same time, to minimize the electric rationing due to this low production. Since the objectives are opposed to each other, it was necessary to apply methodologies for solving multiobjective optimization problems, including genetic algorithms. The mathematical model was built considering the operating conditions of the reservoirs of the hydroelectric plants under study, taking into account their minimum operating levels, which are included in the model constraints. The non-dominated sorting genetic algorithm II was used to obtain the Pareto front, which resulted in a total of 78 non-dominated solutions, which were useful to manage the reservoirs considered, at the time of maximum demand. In short, it is recommended to use other multiobjective optimization algorithms for comparison purposes, selecting the appropriate indicators to evaluate the performance of each algorithm used, in addition to incorporating monetary and environmental cost restrictions to the model.
Keywords
climate change; Pareto front; electricity generation; NSGA; electricity rationing
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