1. Improve time representation model for the simultaneous energy supply and demand management in microgrids
- Author
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Miguel Zamarripa, Carlos A. Méndez, Antonio Espuña, Moisès Graells, Javier Silvente, Adrián M. Aguirre, Universitat Politècnica de Catalunya. Departament d'Enginyeria Química, and Universitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering
- Subjects
Optimization ,Engineering ,Mathematical optimization ,Energy storage ,Linear programming ,Operations research ,Energies [Àrees temàtiques de la UPC] ,INGENIERÍAS Y TECNOLOGÍAS ,Industrial and Manufacturing Engineering ,Power system simulation ,scheduling ,Electrical and Electronic Engineering ,MILP ,Civil and Structural Engineering ,Job shop scheduling ,business.industry ,Ingeniería de Procesos Químicos ,Mechanical Engineering ,Energia -- Emmagatzematge ,Smart grids ,Building and Construction ,Grid ,Pollution ,Ingeniería Química ,microgrid ,General Energy ,Smart grid ,Discrete time and continuous time ,Pinch analysis ,Microgrid ,business ,management ,Microgrid Management Energy storage Scheduling Flexibility MILP ,Mathematical Model - Abstract
This paper analyses the operational decision making procedures required to address the simultaneous management of energy supplies and requests in a microgrid scenario, in order to best accommodate arbitrary energy availability profiles resulting from an intensive use of renewable energy sources, and to extensively exploit the eventual flexibility of the energy requirements to be fulfilled. The optimization of the resulting short term scheduling problem in deterministic scenarios is addressed through a MILP (Mixed-Integer Linear Programming) mathematical model, which includes a new hybrid time formulation developed to take profit of the advantages of the procedures based on discrete time representations, while maintaining the ability to identify solutions requiring a continuous time representation, which might be qualitatively different to the ones constrained to consider a fixed time grid for decision-making. The performance of this new time representation has been studied, taking into account the granularity of the model and analyzing the associated trade-offs in front of other alternatives. The promising results obtained with this new formulation encourage further research regarding the development of decision-making tools for the enhanced operation of microgrids. Fil: Silvente, Javier. Universitat Politecnica de Catalunya; España Fil: Aguirre, Adrian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina Fil: Zamarripa, Miguel A.. Universitat Politecnica de Catalunya; España Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina Fil: Graells, Moisés. Universitat Politecnica de Catalunya; España Fil: Espuña, Antonio. Universitat Politecnica de Catalunya; España
- Published
- 2015