A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Probabilistic multi-objective optimal scheduling of plug-in hybrid electric vehicles in the distribution system
Unlike previous papers that hypothesize specific inputs and present fixed outputs for optimal charging of electric vehicles, this paper offers a multi-objective probabilistic charging algorithm based on the point estimate method (PEM) for aggregation of plug-in hybrid electric vehicles and investigates its impacts on the distribution system. In other words, the uncertainty related to the outputs of different charging algorithms is determined using the PEM. Moreover, from the perspective of an aggregator, simultaneous optimization of the minimum charging cost and minimum charging time is proposed to satisfy the customers. The proposed algorithm is optimized through multi-objective scheduling and applying distribution network constraints. Finally, the proposed method is applied to the IEEE-37 node test feeder, and simulation results are presented to illustrate its performance.
Probabilistic multi-objective optimal scheduling of plug-in hybrid electric vehicles in the distribution system
Unlike previous papers that hypothesize specific inputs and present fixed outputs for optimal charging of electric vehicles, this paper offers a multi-objective probabilistic charging algorithm based on the point estimate method (PEM) for aggregation of plug-in hybrid electric vehicles and investigates its impacts on the distribution system. In other words, the uncertainty related to the outputs of different charging algorithms is determined using the PEM. Moreover, from the perspective of an aggregator, simultaneous optimization of the minimum charging cost and minimum charging time is proposed to satisfy the customers. The proposed algorithm is optimized through multi-objective scheduling and applying distribution network constraints. Finally, the proposed method is applied to the IEEE-37 node test feeder, and simulation results are presented to illustrate its performance.
Probabilistic multi-objective optimal scheduling of plug-in hybrid electric vehicles in the distribution system
Pouladi, Jaber (author) / Abedinzadeh, Taher (author)
2018-03-01
18 pages
Article (Journal)
Electronic Resource
English
Multi-Objective Scheduling of Electric Vehicles in Smart Distribution Network
| DOAJ | 2016
| British Library Online Contents | 2009
| American Institute of Physics | 2015
Introduction of plug-in hybrid electric vehicles in an isolated island system
| Taylor & Francis Verlag | 2018
Microgrid economic operation considering plug-in hybrid electric vehicles integration
| DOAJ | 2015