Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5879
Título: Dispatch of distributed Energy Resources to Provide Energy and Reserve in Smart Grids using a Particle Swarm Optimization Approach
Autor: Faria, Pedro
Soares, Tiago
Pinto, Tiago
Sousa, Tiago
Soares, João
Vale, Zita
Morais, Hugo
Palavras-chave: Demand response
Distribution network
Particle swarm optimization
Network simulation
Virtual Power Player
Data: Abr-2013
Editora: IEEE
Relatório da Série N.º: CIASG;2013
Resumo: The smart grid concept is a key issue in the future power systems, namely at the distribution level, with deep concerns in the operation and planning of these systems. Several advantages and benefits for both technical and economic operation of the power system and of the electricity markets are recognized. The increasing integration of demand response and distributed generation resources, all of them mostly with small scale distributed characteristics, leads to the need of aggregating entities such as Virtual Power Players. The operation business models become more complex in the context of smart grid operation. Computational intelligence methods can be used to give a suitable solution for the resources scheduling problem considering the time constraints. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve by a virtual power player that operates a distribution network. The optimal schedule minimizes the operation costs and it is obtained using a particle swarm optimization approach, which is compared with a deterministic approach used as reference methodology. The proposed method is applied to a 33-bus distribution network with 32 medium voltage consumers and 66 distributed generation units.
URI: http://hdl.handle.net/10400.22/5879
DOI: 10.1109/CIASG.2013.6611498
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6611498&queryText%3DDispatch+of+distributed+Energy+Resources+to+Provide+Energy+and+Reserve+in+Smart+Grids+using+a+Particle+Swarm+Optimization+Approach
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