4.7 Article

A Finite-time Distributed Cooperative Control Approach for Microgrids

期刊

CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
卷 8, 期 4, 页码 1194-1206

出版社

CHINA ELECTRIC POWER RESEARCH INST
DOI: 10.17775/CSEEJPES.2020.00600

关键词

Consensus; droop control; finite-time; microgrid; power sharing; virtual impedance

资金

  1. Natural Science Foundation of Shandong Province of China [ZR2017MEE053]

向作者/读者索取更多资源

This paper proposes a finite-time distributed control approach to address the issues of reactive power sharing and slow convergence speed in microgrid control. By establishing a hierarchical control structure and introducing an adaptive virtual impedance module and a damping module, accurate control of power and voltage is achieved. Experimental results conducted in the Matlab simulation environment demonstrate the effectiveness of the proposed method.
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.

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