197 / 2021-10-31 19:03:07
A Bargaining Game-Based Peer-to-Peer Trading Optimization Method for Microgrid System on the Island
Bargaining game,electricity price,microgrid system,operation,peer-to-peer trading
Final Paper
Hui Li / Chongqing university
Anupam Trivedi / National Unversity of Singapore
Zhouyang Ren / Chongqing university
This paper proposes a peer-to-peer trading optimization method for a microgrid (MG) system on the island. A bargaining game is applied to describe the trading and operating strategies for two MGs in the off-grid MG system under the regulation of the government. First, the peer-to-peer trading optimization models for both MGs are developed. The electricity price is negotiated by MGs in an interval limited by the government. The trading power between MGs is optimized coordinately to minimize the net cost of each MG. Second, the presented optimization models are linearized and transformed to solve the Pareto front of trading and operating schemes for both MGs. Finally, the effectiveness of the proposed method is verified in the case studies. A sensitivity analysis of pricing intervals is also implemented to reveal the influence of the government’s regulation on the net cost of MG.
Important Date
  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST