Jiancheng Zhang, Xinsheng Wang, Lingyu Ma. A Finite-time Distributed Cooperative Control Approach for Microgrids[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(4):1194-1206.
Jiancheng Zhang, Xinsheng Wang, Lingyu Ma. A Finite-time Distributed Cooperative Control Approach for Microgrids[J]. CSEE Journal of Power and Energy Systems, 2022, 8(4): 1194-1206.
Jiancheng Zhang, Xinsheng Wang, Lingyu Ma. A Finite-time Distributed Cooperative Control Approach for Microgrids[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(4):1194-1206.DOI: 10.17775/CSEEJPES.2020.00600.
Jiancheng Zhang, Xinsheng Wang, Lingyu Ma. A Finite-time Distributed Cooperative Control Approach for Microgrids[J]. CSEE Journal of Power and Energy Systems, 2022, 8(4): 1194-1206.DOI: 10.17775/CSEEJPES.2020.00600.
A Finite-time Distributed Cooperative Control Approach for Microgrids
Reactive power sharing cannot be achieved using many existing microgrid (MG) control methods
but the convergence speed of these methods is slow. To solve these problems
a finite-time distributed control approach is proposed in this paper
which is based on the hierarchical control structure. The hierarchical control structure consists of a dual loop control
a droop control used as a primary control and a secondary control. First
the secondary controller is modeled
and the MG system composed of distributed generators (DGs) is considered as a multi-agent system. The secondary controller consists of a frequency regulator
voltage regulator and power regulator. Secondly
the adaptive virtual impedance module is established
using the output of the reactive power regulator as its input. Thirdly
a dual loop controller is combined with a primary controller and secondary controller to generate a pulse width modulation (PWM) signal to control the power and voltage of the MG. In order to reduce the fluctuation of the MG
a damping module is introduced when the structure of the system changes. Finally
the stability of the proposed control strategy is proved by the related theorems. A simulation system is established in the Matlab environment
and the simulation results show that the proposed method is effective.