Journal of Power Electronics

  • 제24권7호
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  • Pages.1104-1117
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  • 2024
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  • 1598-2092(pISSN)
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  • 2093-4718(eISSN)
전력전자학회 (The Korean Institute of Power Electronics)
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Distributed sliding mode consensus control of energy storage systems in wind farms for power system frequency regulation

  • Yinfang Zhu (School of Electrical Engineering, Chongqing University) ;
  • Linyun Xiong (School of Electrical Engineering, Chongqing University) ;
  • Changyu Ban (School of Electrical Engineering, Chongqing University) ;
  • Sunhua Huang (Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University)
  • 투고 : 2023.10.21
  • 심사 : 2024.02.21
  • 발행 : 2024.07.20
⟨ 이전 논문 다음 논문 ⟩

초록

With the increasing penetration of wind power into the grid, its intermittent and fluctuating characteristics pose a challenge to the frequency stability of grids. Energy storage systems (ESSs) are beginning to be used to assist wind farms (WFs) in providing frequency support due to their reliability and fast response performance. However, the current schemes mostly focused on the sole operation of either WT or ESSs for frequency support, lacking in economy and reliability. To address these issues, this work proposes a sliding mode consensus control (SMCC) method for ESSs to assist the frequency response of WTs. First, a coordination strategy for the WTs and ESS is proposed to reinforce the frequency support capability of a WT-ESS by determining the optimal capacity of ESSs. Meanwhile, a novel SMCC is proposed to achieve proportional power sharing among ESSs and increase the total power output of the entire WFs during wind energy shortages. Moreover, an event triggered communication mechanism is utilized to reduce the information exchanges among ESSs. Subsequently, a Lyapunov stability analysis is conducted to prove the stability and finite time consensus of the proposed method. Simulation case studies are conducted in IEEE 39-bus system to validate the effectiveness of the proposed framework.

키워드

과제정보

This work was supported by the National Natural Science Foundation of China under the Grant Number 52377074.

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