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author:

Wang, Yibin (Wang, Yibin.) [1] | Chen, Bin (Chen, Bin.) [2] | Chen, Feixiong (Chen, Feixiong.) [3] (Scholars:陈飞雄) | Shao, Zhenguo (Shao, Zhenguo.) [4] (Scholars:邵振国) | Peng, Weipeng (Peng, Weipeng.) [5] | Gao, Jin (Gao, Jin.) [6]

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EI Scopus

Abstract:

With the large-scale uncertain renewable energy connected to the grid, the frequency regulation demand is growing day by day, and there is a great need to use energy storage to improve the automatic generation control (AGC) performance of the thermal power to meet the grid frequency regulation requirements. Therefore, a two-stage optimization method considering AGC performance and state of charge (SoC) control for energy storage coordinated with thermal power unit in AGC is proposed in this paper. Firstly, the AGC performance assessment index constraints are linearized, which is used to establish the first stage optimization model of the joint system participation in frequency regulation. Further, to reduce the depth charging/discharging situation of energy storage, the second stage optimization model is constructed with the objective of minimizing the SoC deviation. Finally, the simulation result shows that the proposed two-stage optimization method can improve both AGC performance and sustainability of energy storage, and effectively reduce the loss of energy storage working life. © 2023 IEEE.

Keyword:

Electric frequency control Electric power system control Energy storage Fossil fuel power plants Optimization

Community:

  • [ 1 ] [Wang, Yibin]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 2 ] [Chen, Bin]Economic and Technological Research Institute of State Grid Fujian Electric Power Co., Ltd., Fuzhou, China
  • [ 3 ] [Chen, Feixiong]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 4 ] [Shao, Zhenguo]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 5 ] [Peng, Weipeng]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 6 ] [Gao, Jin]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China

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Year: 2023

Page: 1148-1152

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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