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Game theory meets distributed model predictive control in vehicle-to-grid systems

Karimi, A ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.23919/ELECO47770.2019.8990423
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. Electric Vehicles (EVs) will be used rampantly in future transportation system. Although the uncontrolled charging of these EVs will be threatening for the stability of the grid, a compatible energy trading policy may provide beneficial services to the grid as well as preserving the sustainability of the system. In this paper, by taking advantage of block rate tariff, a wholesale pricing policy is introduced. A multi-objective approach is utilized to address the cost reduction and load leveling services concurrently. Due to the high computational complexity of a centralized problem, a game theoretic approach is exerted in order to design decentralized controllers for EVs. Moreover, an MPC approach is introduced in order to deal with unplanned deviation in the state of the system in future hours. Simulation results verify that the proposed method can effectively reform performance of the system. © 2019 Chamber of Turkish Electrical Engineers
  6. Keywords:
  7. Cost reduction ; Model predictive control ; Predictive control systems ; Vehicle-to-grid ; Decentralized controller ; Distributed Model predictive Control ; Electric Vehicles (EVs) ; Game-theoretic ; Multi objective ; Transportation system ; Uncontrolled charging ; Wholesale pricing ; Game theory
  8. Source: 11th International Conference on Electrical and Electronics Engineering, ELECO 2019, 28 November 2019 through 30 November 2019 ; 2019 , Pages 764-768 ; 9786050112757 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8990423