电压降
惯性
控制理论(社会学)
自动频率控制
理论(学习稳定性)
计算机科学
工程类
物理
控制(管理)
电压调节器
人工智能
电信
电气工程
经典力学
电压
机器学习
作者
Zhenhao Wang,F-M Meng,Yue Zhang,Wei Wang,Guoqing Li,Jinming Ge
出处
期刊:IEEE Transactions on Energy Conversion
[Institute of Electrical and Electronics Engineers]
日期:2023-12-01
卷期号:38 (4): 2396-2408
被引量:2
标识
DOI:10.1109/tec.2023.3283048
摘要
Presently, conventional fixed parameters are applied in dual-parallel virtual synchronous generators (VSGs), resulting in poor frequency response characteristics. Therefore, a multi-parameter cooperative adaptive control strategy is proposed in this article as a solution. The principle of the method is that when a frequency transient fluctuation occurs in the VSG, the frequency deviation and rate of frequency change are combined with the virtual inertia, damping coefficient, and P / ω droop coefficient to form an adaptive control system. A small-signal model of dual-parallel VSGs was built to analyse the impacts of the parameters on the stability of the system in each phase. The boundary conditions of the parameters such as virtual inertia, damping coefficient, P/ω droop coefficient and virtual inertia adjustment coefficient are further pinpointed to improve parameters’ values. In the simulation results, the strategy put forward in this article can increase the frequency and amplitude by 54.66% and the recovery time by 49.65% when the system is disturbed. The simulation and the StarSim experimental platform are verified that the strategy proposed in this article can effectively optimize the frequency fluctuation response characteristics of the grid-connected VSG system in different cases, enhancing the dynamic performance and safety and stability of the system.
科研通智能强力驱动
Strongly Powered by AbleSci AI