Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5898
Título: Multi-objective Parallel Particle Swarm Optimization for Day-ahead Vehicle-To-Grid Scheduling
Autor: Soares, João
Vale, Zita
Canizes, Bruno
Morais, Hugo
Palavras-chave: Multi-objective
Pareto front
Particle swarm optimization
Scheduling
Vehicle-to-grid
Data: Abr-2013
Editora: IEEE
Relatório da Série N.º: CIASG;2013
Resumo: This paper presents a methodology for multi-objective day-ahead energy resource scheduling for smart grids considering intensive use of distributed generation and Vehicle- To-Grid (V2G). The main focus is the application of weighted Pareto to a multi-objective parallel particle swarm approach aiming to solve the dual-objective V2G scheduling: minimizing total operation costs and maximizing V2G income. A realistic mathematical formulation, considering the network constraints and V2G charging and discharging efficiencies is presented and parallel computing is applied to the Pareto weights. AC power flow calculation is included in the metaheuristics approach to allow taking into account the network constraints. A case study with a 33-bus distribution network and 1800 V2G resources is used to illustrate the performance of the proposed method.
URI: http://hdl.handle.net/10400.22/5898
DOI: 10.1109/CIASG.2013.6611510
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6611510&queryText%3DMulti-objective+parallel+particle+swarm+optimization+for+day-ahead+Vehicle-to-Grid+scheduling
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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