Multi-objective Particle Swarm Optimization to Solve Energy Scheduling with Vehicle-to-Grid in Office Buildings Considering Uncertainties

This paper presents a Multi-Objective Particle Swarm Optimization (MOPSO) methodology to solve the problem of energy resource management in buildings with a penetration of Distributed Generation (DG) and Electric Vehicles (EVs). The proposed methodology consists in a multi-objective function, in whi...

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Detalhes bibliográficos
Autor principal: Borges, Nuno (author)
Outros Autores: Soares, João (author), Vale, Zita (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2021
Assuntos:
Electric Vehicles
Energy Resources Management
Multi-Objective Optimization
Robust Optimization
Uncertainty
Texto completo:http://hdl.handle.net/10400.22/17324
País:Portugal
Oai:oai:recipp.ipp.pt:10400.22/17324

Texto Completo

http://hdl.handle.net/10400.22/17324

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