Multi-objective Parallel Particle Swarm Optimization for Day-ahead Vehicle-To-Grid Scheduling

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...

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Bibliographic Details
Main Author: Soares, João (author)
Other Authors: Vale, Zita (author), Canizes, Bruno (author), Morais, Hugo (author)
Format: conferenceObject
Language:eng
Published: 2015
Subjects:
Multi-objective
Pareto front
Particle swarm optimization
Scheduling
Vehicle-to-grid
Online Access:http://hdl.handle.net/10400.22/5898
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/5898

Internet

http://hdl.handle.net/10400.22/5898

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