Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Capacity Allocation of Hybrid Power System with Hot Dry Rock Geothermal Energy, Thermal Storage, and PV Based on Game Approaches
Author:
Affiliation:

1.Qinghai Key Lab of Efficient Utilization of Clean Energy (Tus-Institute for Renewable Energy), University of Qinghai, Xining 810016, China
2.State Key Laboratory of Control and Simulation of Power System and Power Generation Equipment (Electric Machinery Department, Tsinghua University), Beijing 100084, China
3.Technical Institute of Physics and Chemistry, Beijing 100190, China

Fund Project:

This work was supported in part by the Joint Fund Project of National Natural Science Foundation of China (No. U1766203), the Key R & D and Transformation Plan of Qinghai Province (No. 2021-GX-109), and the Basic Research Project of Qinghai Province (No. 2020-ZJ-741).

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
    Abstract:

    This study utilizes hot dry rock (HDR) geothermal energy, which is not affected by climate, to address the capacity allocation of photovoltaic (PV)-storage hybrid power systems (HPSs) in frigid plateau regions. The study replaces the conventional electrochemical energy storage system with a stable HDR plant assisted by a flexible thermal storage (TS) plant. An HPS consisting of an HDR plant, a TS plant, and a PV plant is proposed. Game approaches are introduced to establish the game pattern model of the proposed HPS as the players. The annualized income of each player is used as the payoff function. Furthermore, non-cooperative game and cooperative game approaches for capacity allocation are proposed according to the interests of each player in the proposed HPS. Finally, the proposed model and approaches are validated by performing calculations for an HPS in the Gonghe Basin, Qinghai, China as a case study. The results show that in the proposed non-cooperative game approach, the players focus only on the individual payoff and neglect the overall system optimality. The proposed cooperative game approach for capacity allocation improves the flexibility of the HPS as well as the payoff of each game player. Thereby, the HPS can better satisfy the power fluctuation rate requirements of the grid and increase the equivalent firm capacity (EFC) of PV plants, which in turn indirectly guarantees the reliability of grid operation.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 25,2021
  • Revised:June 21,2021
  • Adopted:
  • Online: January 28,2023
  • Published: