An Adaptive Control Strategy for Virtual Synchronous Generator

作者：Wang, Fei^*; Zhang, Lijun; Feng, Xiayun; Guo, Hui

来源：IEEE Transactions on Industry Applications, 2018, 54(5): 5124-5133.

DOI：10.1109/TIA.2018.2859384

• Adaptive parameter
• small-signal modeling
• virtual inertia
• virtual synchronous generator (VSG)

The adoption of the virtual synchronous generator (VSG) has attracted wide attention because of the equivalent operating mechanism as a synchronous generator, providing a feasible scheme for the distributed generation connected to utility grid. However, the delivered power and frequency of the VSG may easily oscillate when the dramatic power fluctuation occurred in the distribution generation system. Fortunately, the oscillation can be damped though adjusting the rotating inertia and damping coefficient. Thus, to investigate the influences of parameters perturbation on the active power and frequency for a VSG, the small-signal model is derived and the dynamic performances are analyzed in detail. Then, based on the results of parameters analysis, an adaptive control strategy is proposed in this paper. And an optimal damping ratio can he maintained throughout the whole process of operation to suppress the oscillation of power and frequency. Therefore, the dynamic performances of the VSG are enhanced since the dynamic indexes such as the response time and overshoots are optimized. In the end, a prototype of single-phase VSG has been built and the proposed adaptive control strategy has been verified through experimental results.

• 出版日期2018-10
• 单位上海大学