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| Frequency Response Characteristics and Adaptive Parameter Tuning of Voltage-Sourced Converters under VSG Control |
| Yan Xiangwu1, Zhang Weichao1, Cui Sen1, Huang Hanyan2, Li Tiecheng3 |
1. Key Laboratory of Distributed Energy Storage and Micro-Grid of Hebei Province North China Electric Power University Baoding 071000 China;
2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources;North China Electric Power University Beijing 102206 China;
3. Hebei Electric Power Research Institute Shijiazhuang 050021 China |
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Abstract With the increasing penetration of renewable generation and the consequent displacement of synchronous generators, the intrinsic characteristics of modern power systems have been through an evolving transition which brought frequency stability challenges. The power electronic-based renewable generation (such as the solar PV and wind turbines), commonly exploiting maximum available generation capacity in normal operating condition, brings issues weakening the entire system, including the loss of inertia because of high-frequency switches and the decreasing number of frequency response participants taking part in system-level power balance control. Under this background, the concept of virtual synchronous generator (VSG) has been proposed, which mimics the external characteristics of traditional electric machines, to provide inertial response and primary frequency response from the renewable generation, aiming to sustain frequency stability against disturbances. Moreover, as the parameters of VSG control loops is fully adjustable, the response time and flexibility can be enhanced by adaptive parameter tuning. This paper presents a parameter tuning method adaptive to load deviations. Firstly, the VSG control strategy providing the inertial response and primary frequency response is introduced. Secondly, the performance indices of frequency response are deduced through simplifications from transfer function. Thirdly, an adaptive parameter tuning algorithm is designed considering the composite influence on performance indices, the chronological sequence, and the renewable generation properties. At last, the feasibility of the proposed algorithm is verified by simulation.
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Received: 20 June 2020
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2021, Vol. 36 
