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Adaptive Control Strategy for Energy Storage Systems Based on Crisscross Optimization Algorithm
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Xuan REN1, Tong CHEN1, Lizhi DONG2, Lingtong HUANG1, Mingxia ZHANG2
Electric Drive | 2024, 54(4) : 4 - 10
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Electric Drive | 2024, 54(4): 4-10
Adaptive Control Strategy for Energy Storage Systems Based on Crisscross Optimization Algorithm
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Xuan REN1, Tong CHEN1, Lizhi DONG2, Lingtong HUANG1, Mingxia ZHANG2
Affiliations
  • 1 State Grid Jiangsu Electric Power Co.，Ltd. Zhenjiang Power Supply Branch，Zhenjiang 212000，Jiangsu，China
  • 2 China Electric Power Research Institute Co.，Ltd.，Beijing 100192，China
Published: 2024-04-20 doi: 10.19457/j.1001-2095.dqcd25258
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When a large number of energy storage devices are integrated into the power grid through a virtual synchronous generator （VSG），improper selection of control parameters in traditional fixed inertia and damping control strategies can lead to long adjustment times or large overshoot，and fail to fully leverage the flexible advantages of VSG control. To address this issue，an adaptive control strategy for energy storage system based on the crisscross optimization （CSO） algorithm was proposed. Firstly，the VSG model of the energy storage system was established，and the minimum value of the sum of the frequency error of the VSG system and the total harmonic distortion of the voltage was taken as the objective function of CSO. The battery state of energy （SOE） constraint was introduced to solve the optimal inertia and damping. This algorithm has a faster convergence speed and effectively avoids parameter local solutions. On this basis，an improved inertia and damping adaptive control strategy was designed to effectively improve the dynamic performance of VSG. Finally，the effectiveness of the proposed strategy was verified by building a simulation model using Matlab/Simulink.

energy storage system  /  virtual synchronous generator（VSG）  /  adaptive control of inertia and damping  /  state of energy （SOE） of batteries  /  crisscross optimization（CSO） algorithm
Xuan REN, Tong CHEN, Lizhi DONG, Lingtong HUANG, Mingxia ZHANG. Adaptive Control Strategy for Energy Storage Systems Based on Crisscross Optimization Algorithm[J]. Electric Drive, 2024 , 54 (4) : 4 -10 . DOI: 10.19457/j.1001-2095.dqcd25258
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Year 2024 volume 54 Issue 4
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Article Info
doi: 10.19457/j.1001-2095.dqcd25258
  • Receive Date：2023-07-18
  • Online Date：2025-12-03
  • Published：2024-04-20
Article Data
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History
  • Received：2023-07-18
  • Revised：2023-11-15
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    1 State Grid Jiangsu Electric Power Co.，Ltd. Zhenjiang Power Supply Branch，Zhenjiang 212000，Jiangsu，China
    2 China Electric Power Research Institute Co.，Ltd.，Beijing 100192，China
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