A multi-objective model for the day-ahead energy resource scheduling of a smart grid with high penetration of sensitive loads

•A multi-objective framework for smart grid management considering minimum reserve.•The min. reserve is incorporated in the model in addition to the cost minimization.•The day-ahead model for VPP aims to increase reliability and reduce uncertainty.•Two-stage weighted sum approach using distributed a...

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Bibliographic Details
Published in:	Applied energy Vol. 162; pp. 1074 - 1088
Main Authors:	Soares, João, Fotouhi Ghazvini, Mohammad Ali, Vale, Zita, de Moura Oliveira, P.B.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.01.2016
Subjects:	algorithms case studies computer techniques Electric vehicles energy linear programming Multi-objective optimization Parallel computing Pareto front Particle swarm optimization Smart grid vehicles (equipment) Pareto front Electric vehicles Parallel computing Multi-objective optimization Particle swarm optimization Smart grid
ISSN:	0306-2619, 1872-9118
Online Access:	Get full text
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