Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5251
Título: Modified Particle Swarm Optimization Applied to Integrated Demand Response and DG Resources Scheduling
Autor: Faria, Pedro
Soares, João
Vale, Zita
Morais, Hugo
Sousa, Tiago
Palavras-chave: Energy resources
Generators
Load management
Optimization
Particle swarm optimization
Power generation
Reactive power
Data: Mar-2013
Editora: IEEE
Relatório da Série N.º: IEEE Transactions on Smart Grid;Vol. 4, Issue 1
Resumo: The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for the success of smart grids. The intensive use of Distributed Energy Resources (DER) and the technical and contractual constraints result in large-scale non linear optimization problems that require computational intelligence methods to be solved. This paper proposes a Particle Swarm Optimization (PSO) based methodology to support the minimization of the operation costs of a virtual power player that manages the resources in a distribution network and the network itself. Resources include the DER available in the considered time period and the energy that can be bought from external energy suppliers. Network constraints are considered. The proposed approach uses Gaussian mutation of the strategic parameters and contextual self-parameterization of the maximum and minimum particle velocities. The case study considers a real 937 bus distribution network, with 20310 consumers and 548 distributed generators. The obtained solutions are compared with a deterministic approach and with PSO without mutation and Evolutionary PSO, both using self-parameterization.
Peer review: yes
URI: http://hdl.handle.net/10400.22/5251
DOI: 10.1109/TSG.2012.2235866
ISSN: 1949-3053
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6409484&queryText%3DModified+Particle+Swarm+Optimization+Applied+to+Integrated+Demand+Response+and+DG+Resources+Scheduling
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