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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Bibliographic Details
Main Author: Borges, Nuno (author)
Other Authors: Soares, João (author), Vale, Zita (author)
Format: conferenceObject
Language:eng
Published: 2021
Subjects:
Electric Vehicles
Energy Resources Management
Multi-Objective Optimization
Robust Optimization
Uncertainty
Online Access:http://hdl.handle.net/10400.22/17324
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/17324

Internet

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

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