Publicação
Influence of the management perspective for choosing the best location for Distributed electric energy storage units
| Resumo: | A methodology to assist a decision maker (DM) on the assessment of feasible solutions to implement a distributed electric energy storage system (DEESS) is presented. The chosen system is based on the nanophosphate lithium-ion battery technology due to its increasing use in electricity networks and to the advantages when compared to other commercially available technologies. The proposed methodology perfoms the choice of locations, using a definition of the best schedule of operation, while simultaneously optimizing four objective functions: the minimization of losses, voltage deviations and investment cost, and the maximization of the net gains of exploiting the differences among time varying energy prices. Results show that the best DEESS location depends on the energy service to be provided, namely of the goal of the DM that defines the management scheme of the DEESS, suggesting the need to incorporate this level of decision on the multiple objective formulation and making this methodology appropriate for different types of stakeholders. |
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| Autores principais: | Gonçalves, José |
| Outros Autores: | Pires Neves, Luís; Martins, A. Gomes |
| Assunto: | Economics Linear programming Stakeholders Batteries Optimization Biological system modeling distributed electric energy storage load profiles Improved genetic algorithms multiobjective assessment |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade de Leiria e Oeste |
| Idioma: | inglês |
| Origem: | IC-online |
| Resumo: | A methodology to assist a decision maker (DM) on the assessment of feasible solutions to implement a distributed electric energy storage system (DEESS) is presented. The chosen system is based on the nanophosphate lithium-ion battery technology due to its increasing use in electricity networks and to the advantages when compared to other commercially available technologies. The proposed methodology perfoms the choice of locations, using a definition of the best schedule of operation, while simultaneously optimizing four objective functions: the minimization of losses, voltage deviations and investment cost, and the maximization of the net gains of exploiting the differences among time varying energy prices. Results show that the best DEESS location depends on the energy service to be provided, namely of the goal of the DM that defines the management scheme of the DEESS, suggesting the need to incorporate this level of decision on the multiple objective formulation and making this methodology appropriate for different types of stakeholders. |
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