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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
energy
Multi-objective scheduling of electric vehicles in smart distribution system
Energy Conversion and Management, Volume 79, Year 2014
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Description
When preparing for the widespread adoption of Electric Vehicles (EVs), an important issue is to use a proper EVs' charging/discharging scheduling model that is able to simultaneously consider economic and environmental goals as well as technical constraints of distribution networks. This paper proposes a multi-objective operational scheduling method for charging/discharging of EVs in a smart distribution system. The proposed multi-objective framework, based on augmented ε-constraint method, aims at minimizing the total operational costs and emissions. The Vehicle to Grid (V2G) capability as well as the actual patterns of drivers are considered in order to generate the Pareto-optimal solutions. The Benders decomposition technique is used in order to solve the proposed optimization model and to convert the large scale mixed integer nonlinear problem into mixed-integer linear programming and nonlinear programming problems. The effectiveness of the proposed resources scheduling approach is tested on a 33-bus distribution test system over a 24-h period. The results show that the proposed EVs' charging/discharging method can reduce both of operation cost and air pollutant emissions. © 2013 Elsevier Ltd. All rights reserved.
Authors & Co-Authors
Zakariazadeh, Alireza
Iran, Tehran
Daneshgahe Elm va Sanat e Iran
Siano, Pierluigi
Italy, Salerno
Università Degli Studi Di Salerno
Statistics
Citations: 258
Authors: 2
Affiliations: 2
Identifiers
Doi:
10.1016/j.enconman.2013.11.042
ISSN:
01968904
Research Areas
Environmental