Smart control of an electric vehicle for ancillary service in DC microgrid
File(s)
Published version
Author(s)
Yu, Yue
Nduka, Onyema
Pal, Bikash
Type
Journal Article
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.
Date Issued
2020-11-11
Date Acceptance
2020-10-22
Citation
IEEE Access, 2020, 8, pp.197222-197235
ISSN
2169-3536
Publisher
Institute of Electrical and Electronics Engineers
Start Page
197222
End Page
197235
Journal / Book Title
IEEE Access
Volume
8
Copyright Statement
© 2020 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
License URL
Sponsor
Engineering & Physical Science Research Council (E
Grant Number
J15119 - PO:500174140
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Batteries
Optimization
State of charge
Vehicle-to-grid
Resistance
Load modeling
Microgrids
EV integration
dc microgrid
control
V2G
battery degradation
multi-objective optimisation
optimal power flow
modified Dijkstra’
s algorithm
power losses
ENERGY MANAGEMENT
POWER QUALITY
SYSTEM
OPTIMIZATION
ALGORITHMS
OPERATION
NETWORKS
DESIGN
PV
08 Information and Computing Sciences
09 Engineering
10 Technology
Publication Status
Published
Date Publish Online
2020-10-28