Extension of IEC61850 with smart EV charging

Un-coordinated Electric Vehicle (EV) charging behaviors will impact the power grid and degrade power quality. Smart charging system can optimally allocate the energy among EVs and minimize the impact on grid. IEC 61850 is an international standard for distribution & substation automation and int...

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Vydané v:IEEE Innovative Smart Grid Technologies--Asia s. 294 - 299
Hlavní autori: Yingqi Xiong, Bin Wang, Zhiyuan Cao, Chi-cheng Chu, Pota, Hemanshu, Gadh, Rajit
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.11.2016
Predmet:
Data models
IEC 61850
IEC Standards
Mobile communication
Predictive control
Smart EV Charging
Smart grids
Vehicles
Web Service
ISSN:2378-8542
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Popis
Shrnutí:Un-coordinated Electric Vehicle (EV) charging behaviors will impact the power grid and degrade power quality. Smart charging system can optimally allocate the energy among EVs and minimize the impact on grid. IEC 61850 is an international standard for distribution & substation automation and intelligence device communication in smart grid. This paper introduces the extension of IEC 61850 with smart EV scheduling algorithms, considering current multiplexing, power sharing strategies and user behaviors. We have developed an IEC 61850 abstract data model for the information exchanged among components of smart EV charging infrastructures, including the EV charging control center, intelligent Electric Vehicle Supply Equipment (EVSE) and the EV users with mobile applications. Real-world EV usage data on UCLA campus is utilized in the simulation experiment, which is based on the predictive control paradigm. The data model is instantiated by a web service on EV control center by converting the raw data streams from EVSEs in various formats, such as JSON or raw string, etc. into a standardized IEC 61850 SCL file, which contains the critical meter data and charging session parameters. The system cost performance, the interoperability and scalability of smart EV charging infrastructure are greatly improved.
ISSN:2378-8542
DOI:10.1109/ISGT-Asia.2016.7796401