Abstract
The reservoirs that feed large hydropower plants should be managed in order to provide other uses for the water resources. Those uses include, for instance, flood control and avoidance, irrigation, navigability in the rivers, and other ones. This work presents an evolutionary multiobjective optimization approach for the study of multiple water usages in multiple interlinked reservoirs, including both power generation objectives and other objectives not related to energy generation. The classical evolutionary algorithm NSGA-II is employed as the basic multiobjective optimization machinery, being modified in order to cope with specific problem features. The case studies, which include the analysis of a problem which involves an objective of navigability on the river, are tailored in order to illustrate the usefulness of the data generated by the proposed methodology for decision-making on the problem of operation planning of multiple reservoirs with multiple usages. It is shown that it is even possible to use the generated data in order to determine the cost of any new usage of the water, in terms of the opportunity cost that can be measured on the revenues related to electric energy sales.
Highlights
The optimal use of water resources is increasingly being recognized as a strategic issue for the nations [1]
This work presents an evolutionary multiobjective optimization approach for the study of multiple water usages in multiple interlinked reservoirs, including both power generation objectives and other objectives not related to energy generation
The case studies, which include the analysis of a problem which involves an objective of navigability on the river, are tailored in order to illustrate the usefulness of the data generated by the proposed methodology for decision-making on the problem of operation planning of multiple reservoirs with multiple usages
Summary
The optimal use of water resources is increasingly being recognized as a strategic issue for the nations [1]. The large reservoirs that feed the operation of those plants should be managed in order to provide the economic operation of the power generation, considering the other multiple uses that the water resources should allow Those uses include, for instance, flood control and avoidance, irrigation, navigability in the rivers, and other ones. This objective is expressed as the need to maintain the water flow above a given minimum, which allows the operation of ships above a given draft The inclusion of this objective exemplifies the employment of the proposed methodology for the generation of data for the decision-making process considering several stakeholders, in addition to the electric power system viewpoint. Preliminary results of the proposed algorithm were presented in the conference paper [12]
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