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Smart Control of an Electric Vehicle for Ancillary Service in DC Microgrid

Authors :
Yue Yu
Onyema S. Nduka
Bikash C. Pal
Engineering & Physical Science Research Council (E
Source :
IEEE Access, Vol 8, Pp 197222-197235 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

This article presents a two-stage framework for optimal Electric Vehicle (EV) charging/discharging strategy for DC Microgrid (MG) with Distributed Generators (DGs). A multi-objective optimisation task aimed at minimising system losses and EV battery degradation with Vehicle-to-Grid (V2G) peak shaving service has been realised. This coordinated EV integration into the DCMG was formulated as a directed weighted single source shortest path problem that was solved using a modified Dijkstra’s algorithm. The weights of the edges were obtained using primal-dual interior point method. The proposed framework has been experimentally verified using simulations with a test DCMG system with practical IEEE European low voltage test feeder load profiles. Results show realisation of peak demand shaving leveraging on EV discharge with minimal on-board battery degradation as well as reduced system losses. It is also shown that the proposed two-stage framework reduces the battery state of charge (SOC) sample space requirements in the analysis, thus, reducing the computational burden.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
OpenAIRE
Journal :
IEEE Access
Accession number :
edsair.doi.dedup.....dc1e5f67589bcf649f684cb2428b10e0