On the optimal demand-side management in microgrids through polygonal composition
This article presents a novel methodology for energy management in microgrids focused on the demand side. It is inspired by the Tangram puzzle. The energy demand and production profiles are represented by polygons and managed through computational geometry. Therefore, an optimization problem is defi...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad de Granada (UGR) |
| Repositorio: | Digibug. Repositorio Institucional de la Universidad de Granada |
| Idioma: | inglés |
| OAI Identifier: | oai:digibug.ugr.es:10481/84716 |
| Acceso en línea: | https://hdl.handle.net/10481/84716 https://dx.doi.org/10.1016/j.segan.2023.101066 |
| Access Level: | acceso abierto |
| Palabra clave: | Demand-side management Microgrid Optimization |
| Sumario: | This article presents a novel methodology for energy management in microgrids focused on the demand side. It is inspired by the Tangram puzzle. The energy demand and production profiles are represented by polygons and managed through computational geometry. Therefore, an optimization problem is defined to place n energy demand profiles (pieces) to cover the total energy production profile (target shape). The optimization problem is addressed with a genetic algorithm. It tries to calculate the optimal positions of the polygons of the demands covering the maximum energy production. Since the referred production comes from renewable energy sources in the microgrid, this method allows reducing both the consumption of fossil fuels and energy bills. |
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