Electric vehicle robot-based testbed for future grid's evaluation

Yang Weng, Yuanjiang Liao, Marija Ilic, Dipti Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The recent penetration of distributed green energy, distribution intelligence, and plug-in electric vehicles (EVs) calls for a better information organization in an Energy Internet. Such an information system usually considers mostly the static grids. In this paper, we propose a test-bed not only for the static grid but also for the dynamic devices such as electric vehicles. To reduce the physical size of such a test-bed, we design the robot to have two wheels. To avoid human interruption to the test, we replace the manual charging procedure with wireless charging. To enable the EV robot for self-balancing with its two wheels, we implanted the EV robot with a control algorithm based on a neural network. To provide the EV robots with charging instructions, a joint optimization is carried out by considering both the economic factor on the customer side and the grid security constraint on the utility side. Numerical results demonstrate the testbed's capability of handling many EV robots.

Original languageEnglish (US)
Title of host publication2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538614273
DOIs
StatePublished - Jun 28 2017
Event2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Beijing, China
Duration: Nov 27 2017Nov 28 2017

Publication series

Name2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
Volume2018-January

Other

Other2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017
CountryChina
CityBeijing
Period11/27/1711/28/17

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Control and Optimization

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