Optimal energy trading for building microgrid with electric vehicles and renewable energy resources

Duong Tung Nguyen, Long Bao Le

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

16 Scopus citations

Abstract

In this paper, we study an optimal power bidding and scheduling problem for a microgrid (MG), which consists of distributed generators (DGs), battery storage units, a large garage with many charging stations for electric vehicles (EVs), MG local load, and renewable energy sources (RESs).We propose to utilize EVs as a dynamic energy storage facility to accommodate the variability of RESs in a realistic economic model for the electricity market. The power scheduling and bidding problem is formulated as a two-stage stochastic programming problem considering the uncertainties of RESs and electricity price. Specifically, a multi-objective function is introduced to balance the tradeoff between maximizing the MG revenue and minimizing the MG operating cost. Importantly, appropriate penalty metrics capturing involuntary load shedding, renewable energy curtailment, and bid deviation are integrated into the objective function. Numerical results confirm the effectiveness of the proposed optimization framework in enhancing the operation efficiency of the MG, reducing curtailment of renewable energy resources compared to the conventional scheme and flexibility of the proposed framework in balancing different design objectives.

Original languageEnglish (US)
Title of host publication2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014
PublisherIEEE Computer Society
ISBN (Print)9781479936526
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014 - Washington, DC, United States
Duration: Feb 19 2014Feb 22 2014

Publication series

Name2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014

Other

Other2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014
CountryUnited States
CityWashington, DC
Period2/19/142/22/14

Keywords

  • battery
  • electric vehicle
  • Renewable energy

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

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