Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory

Huynh Ngoc Tran, DInh Hoa Nguyen, Michihiro Kawanichi, Tatsuo Narikiyo

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

    Abstract

    In this paper, we present our work on operational cost optimization problem of a microgrid with renewable energy and EV batteries. The sequential distributed consensus alternative direction method of multipliers which utilizes the average consensus of multi-agent system is applied to solve the problem in a distributed way. We also adopt an EV charging strategy with 3 charging scenarios to ensure a sufficient EV energy for EV trips. Furthermore, Toyota demonstration data is used for case studies. The simulation results show the usefulness of the distributed approach and characteristic of each EV charging scenario.

    Original languageEnglish
    Title of host publication2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728112497
    DOIs
    Publication statusPublished - Oct 2019
    Event2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Hanoi, Viet Nam
    Duration: Oct 14 2019Oct 17 2019

    Publication series

    Name2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

    Conference

    Conference2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
    CountryViet Nam
    CityHanoi
    Period10/14/1910/17/19

    All Science Journal Classification (ASJC) codes

    • Control and Optimization
    • Modelling and Simulation
    • Artificial Intelligence
    • Transportation
    • Energy Engineering and Power Technology
    • Fuel Technology
    • Automotive Engineering
    • Electrical and Electronic Engineering

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