Weighted sum approach using Parallel Particle Swarm Optimization to Solve Multi-objective Energy Scheduling

This paper presents a Particle Swarm Optimization (PSO) methodology to solve the problem of energy resource management with high penetration of Distributed Generation (DG) and Electric Vehicles (EVs), based in multi-objective optimization. The high penetration of unpredictable DG, results in the inc...

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Bibliographic Details
Main Author: Borges, Nuno (author)
Other Authors: Soares, João (author), Vale, Zita (author), Canizes, Bruno (author)
Format: article
Language:eng
Published: 2016
Subjects:
Energy Resources Management
CO2 Emissions
Particle Swarm Optimization
Multi-Objective
Online Access:http://hdl.handle.net/10400.22/10086
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/10086

Internet

http://hdl.handle.net/10400.22/10086

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