Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Partition-based Network Equivalent Method for Power System Subsynchronous Oscillation Analysis
Author:
Affiliation:

1.Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2.Economic Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310016, China
3.College of Energy and Electrical Engineering, Hohai Universtiy, Nanjing 211100, China

Fund Project:

This work was jointly supported by the Science and Technology Project of State Grid Zhejiang Electric Power Co., Ltd. (No. 5211JY21N001) and the National Natural Science Foundation of China (No. 51837004).

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    Abstract:

    Given large-scale modern power systems with power electronic converters, the numerical simulation with subsynchronous oscillation (SSO) faces great challenges in engineering practice due to sharply enlarged modeling scale and high computational burden. To reduce the modeling scale, network partition and equivalent becomes a vital technique in numerical simulations. Although several methods have been developed for network equivalent, a generally accepted rule for network partition is still required. This paper proposes that the system can be partitioned into three parts, i.e., the internal, the middle, and the external subsystems, in which the internal subsystem consists of all power electronic components, the middle subsystem includes those selected AC dynamic components with detailed models, and the remaining components and buses constitute the external subsystem. The external subsystem is further represented by an equivalent RLC network determined by the frequency dependent network equivalent (FDNE) method. In the proposed method, the observability index and the electrical distance index are used to identify the interface between the middle and the external subsystems. Case studies based on a modified Hydro-Quebec system are used to verify the effectiveness of the proposed method.

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History
  • Received:August 15,2022
  • Revised:February 10,2023
  • Adopted:
  • Online: January 22,2024
  • Published: