Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5922
Título: Decision support tool for Virtual Power Players: Hybrid Particle Swarm Optimization applied to Day-ahead Vehicle-To-Grid Scheduling
Autor: Soares, João
Vale, Zita
Morais, Hugo
Palavras-chave: Hybrid technique
Mixed-integer linear programing
Optimal scheduling
Particle swarm optimization
Vehicle-to-grid
Data: Jul-2013
Editora: IEEE
Relatório da Série N.º: ISAP;2013
Resumo: This paper presents a decision support tool methodology to help virtual power players (VPPs) in the Smart Grid (SGs) context to solve the day-ahead energy resource scheduling considering the intensive use of Distributed Generation (DG) and Vehicle-To-Grid (V2G). The main focus is the application of a new hybrid method combing a particle swarm approach and a deterministic technique based on mixedinteger linear programming (MILP) to solve the day-ahead scheduling minimizing total operation costs from the aggregator point of view. A realistic mathematical formulation, considering the electric network constraints and V2G charging and discharging efficiencies is presented. Full AC power flow calculation is included in the hybrid method 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/10400.22/5922
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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