Location Method of Subsynchronous Oscillation Source in Wind Power System with VSC-HVDC Based on Adversarial Transfer Learning
Chen Jian1, Du Wenjuan2, Wang Haifeng1,2
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China; 2. College of Electrical Engineering Sichuan University Chengdu 610065 China
Abstract：Wind farms connected to AC systems via voltage source converter based high voltage direct current transmission (VSC-HVDC), which will generate subsynchronous oscillations (SSO). It is an urgent problem to locate the source of SSO in wind farms and take targeted suppression measures in time. This paper establishes the linearization model of the power system of wind farms connected to the grid via VSC-HVDC, analyzes the mechanism of wind farms inducing SSO due to interaction, and proposes a wind farm SSO source location method based on adversarial transfer learning. This method reduces the domain difference between the simulation system and the actual system by learning from the oscillation features of the two systems, and realizes that the location model established by the simulation system offline can be transferred to the actual system, thus to locate the SSO source in the wind farms. Through designing a power system case where multiple wind farms are connected to the grid via VSC-HVDC, it is verified and analyzed that the proposed method has high locating accuracy in different systems. This has important reference value for the power grid dispatching operation based on the wide-area measurement system to identify the source of oscillation or to provide an oscillation suppression strategy.
陈剑, 杜文娟, 王海风. 基于对抗式迁移学习的含柔性高压直流输电的风电系统次同步振荡源定位[J]. 电工技术学报, 2021, 36(22): 4703-4715.
Chen Jian, Du Wenjuan, Wang Haifeng. Location Method of Subsynchronous Oscillation Source in Wind Power System with VSC-HVDC Based on Adversarial Transfer Learning. Transactions of China Electrotechnical Society, 2021, 36(22): 4703-4715.
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2021, Vol. 36 
