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Gradient descent based dynamic optimization for VSG dominated microgrid
  • +3
  • Yan Li,
  • Decheng Wang,
  • Qun Zhang,
  • Jian Du,
  • Qinshan Wang,
  • Qiong Wang
Yan Li
Economic and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd

Corresponding Author:[email protected]

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Decheng Wang
Economic and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd
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Qun Zhang
Economic and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd
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Jian Du
Economic and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd
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Qinshan Wang
Economic and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd
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Qiong Wang
Economic and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd
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Abstract

As more and more distributed generations are connected to the grid, the grid is increasingly vulnerable to power fluctuations and system failures, the stability of the power system is seriously challenged. This paper proposes an optimization design method of multi-virtual synchronous generators (VSGs) control parameters of independent microgrids based on gradient descent method, and a small signal model of independent microgrids with multi-VSGs is also established. Then gradient descent method is used to optimize the multi-VSG control parameters of the independent microgrid. The simulation results reveal that the proposed multi-VSG control parameter optimization design method can effectively improve the frequency and voltage dynamic response performance and the stability of the independent microgrid under small disturbances.
09 Jul 2024Submitted to The Journal of Engineering
12 Jul 2024Submission Checks Completed
12 Jul 2024Assigned to Editor
12 Aug 2024Reviewer(s) Assigned
23 Oct 2024Review(s) Completed, Editorial Evaluation Pending
02 Nov 2024Editorial Decision: Revise Minor
15 Nov 20241st Revision Received
18 Nov 2024Submission Checks Completed
18 Nov 2024Assigned to Editor
18 Nov 2024Reviewer(s) Assigned
21 Nov 2024Review(s) Completed, Editorial Evaluation Pending
05 Dec 2024Editorial Decision: Accept