A Benders’ decomposition approach for renewable generation investment in distribution systems
A model suitable to obtain where and when renewable energy sources (RES) should be allocated as part of generation planning in distribution systems is formulated. The proposedmodel starts from an existing two-stage stochastic mixed-integer linear programming (MILP) problem including investment and s...
| Autores: | , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Recursos: | Universidad de Castilla-La Mancha |
| Repositorio: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/39995 |
| Acesso em linha: | https://hdl.handle.net/10578/39995 |
| Access Level: | acceso abierto |
| Palavra-chave: | Benders’ decomposition Distributed generation planning (DGP) |
| Resumo: | A model suitable to obtain where and when renewable energy sources (RES) should be allocated as part of generation planning in distribution systems is formulated. The proposedmodel starts from an existing two-stage stochastic mixed-integer linear programming (MILP) problem including investment and scenario-dependent operation decisions. The aim is to minimizephotovoltaic and wind investment costs, operation costs, as well as total substation costs including the cost of the energy bought from substations and energy losses. A new Benders’ decompositionframework is used to decouple the problem between investment and operation decisions, where the latter can be further decomposed into a set of smaller problems per scenario and planning period.The model is applied to a 34-bus system and a comparison with a MILP model is presented to show the advantages of the model proposed. |
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