Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1420
Título: Particle swarm optimization applied to integrated demand response resources scheduling
Autor: Faria, Pedro
Vale, Zita
Soares, João
Ferreira, Judite
Palavras-chave: Demand response
Particle swarm optimization
Simulation
Smart grid
Virtual power player
Data: 2011
Editora: IEEE
Resumo: The concept of demand response has a growing importance in the context of the future power systems. Demand response can be seen as a resource like distributed generation, storage, electric vehicles, etc. All these resources require the existence of an infrastructure able to give players the means to operate and use them in an efficient way. This infrastructure implements in practice the smart grid concept, and should accommodate a large number of diverse types of players in the context of a competitive business environment. In this paper, demand response is optimally scheduled jointly with other resources such as distributed generation units and the energy provided by the electricity market, minimizing the operation costs from the point of view of a virtual power player, who manages these resources and supplies the aggregated consumers. The optimal schedule is obtained using two approaches based on particle swarm optimization (with and without mutation) which are compared with a deterministic approach that is used as a reference methodology. A case study with two scenarios implemented in DemSi, a demand Response simulator developed by the authors, evidences the advantages of the use of the proposed particle swarm approaches.
URI: http://hdl.handle.net/10400.22/1420
ISBN: 978-1-4244-9893-2
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5953326
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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