Finite-time Distributed Cooperative Control of Microgrid Using Adaptive Virtual Impedance

Using conventional droop control in microgrid (MG), the reactive power sharing cannot be obtained when the line impedance is not proportional, and deviations of the voltage and frequency will also occur. In order to obtain the power sharing and eliminate these voltage and frequency deviations, a finite-time cooperative control based adaptive virtual impedance is adopted. This control method adopts hierarchical control structure. The stability of the system is proved by the theories of multi-agent consistency and finite-time stability. This control method realizes accurate reactive power sharing and accelerates the convergence process of the system. Simulation results show that the method is effective.

[1]  Frank L. Lewis,et al.  Distributed Finite-Time Voltage and Frequency Restoration in Islanded AC Microgrids , 2016, IEEE Transactions on Industrial Electronics.

[2]  Fanghong Guo,et al.  Distributed Secondary Voltage and Frequency Restoration Control of Droop-Controlled Inverter-Based Microgrids , 2015, IEEE Transactions on Industrial Electronics.

[3]  Yong Wang,et al.  General distributed secondary control for multi-microgrids with both PQ-controlled and droop-controlled distributed generators , 2017 .

[4]  Frank L. Lewis,et al.  Finite-time frequency synchronization in microgrids , 2014, 2014 IEEE Energy Conversion Congress and Exposition (ECCE).

[5]  Frank L. Lewis,et al.  Distributed Cooperative Secondary Control of Microgrids Using Feedback Linearization , 2013, IEEE Transactions on Power Systems.

[6]  Wei Liu,et al.  Decentralized Multi-Agent System-Based Cooperative Frequency Control for Autonomous Microgrids With Communication Constraints , 2014, IEEE Transactions on Sustainable Energy.

[7]  Yi Gong Zhang,et al.  A Droop Control Strategy with Impedance Compensation for Low Voltage Microgrid , 2013 .

[8]  Chengshan Wang,et al.  A Simple Decentralized Islanding Microgrid Power Sharing Method Without Using Droop Control , 2018, IEEE Transactions on Smart Grid.

[9]  Qian Ai,et al.  A distributed coordinated economic droop control scheme for islanded AC microgrid considering communication system , 2018, Electric Power Systems Research.

[10]  Z. Guan,et al.  Leader-following finite-time consensus for multi-agent systems with jointly-reachable leader , 2012 .

[11]  Xiaoli Wang,et al.  Distributed finite-time χ-consensus algorithms for multi-agent systems with variable coupling topology , 2010, J. Syst. Sci. Complex..

[12]  Josep M. Guerrero,et al.  Secondary control for reactive power sharing in droop-controlled islanded microgrids , 2012, 2012 IEEE International Symposium on Industrial Electronics.

[13]  Mohammad Hosein Kazemi,et al.  An optimal autonomous microgrid cluster based on distributed generation droop parameter optimization and renewable energy sources using an improved grey wolf optimizer , 2017 .

[14]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.