DOI:10.35833/MPCE.2021.000136 |
| |
| |
Capacity Allocation of Hybrid Power System with Hot Dry Rock Geothermal Energy, Thermal Storage, and PV Based on Game Approaches |
| |
|
| |
Page view: 28
Net amount: 87 |
| |
Author:
Yang Si1,2, Laijun Chen1, Xuelin Zhang3, Xiaotao Chen1, Shengwei Mei1,2
|
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
|
Foundation: |
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). |
|
|
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. |
Keywords: |
Capacity allocation ; equivalent firm capacity ; game theory ; hot dry rock ; hybrid power system |
| |
Received:February 25, 2021
Online Time:2023/01/28 |
| |
|
|
View Full Text
Download reader
|
|
|