Frequency Synchronization and SoC Balancing Control in AC Microgrids

This paper develops a distributed improved finite-time Control algorithm for multi-agent based ac microgrids with battery energy storage systems (BESSs) utilizing a low-width communication network. The proposed control algorithm can simultaneously coordinate BESSs to restore the frequency as well as solving state of charge (SoC) balancing problem. An accelerated convergence can be achieved within a settling time that is irrelevant to initial conditions. Then, the stability of the proposed control algorithm is established using Lyapunov method and homogeneous approximation theroy. Further, to significantly reduce the number of communication, an event-triggered mechanism that enable each agent to update its input is provided. It is proved that under the proposed event-triggered consensus control strategy. Finally, we apply the theoretical results to a test system in several case studies with MATLAB/SIMULINK. The results of the theoretical analysis and simulation verify the effectiveness of the proposed strategy.

[1]  Jing Zhou,et al.  Convergence speed in distributed consensus over dynamically switching random networks , 2009, Autom..

[2]  Euhanna Ghadimi,et al.  Optimal Parameter Selection for the Alternating Direction Method of Multipliers (ADMM): Quadratic Problems , 2013, IEEE Transactions on Automatic Control.

[3]  Alessandro Pisano,et al.  Robust Finite-Time Frequency and Voltage Restoration of Inverter-Based Microgrids via Sliding-Mode Cooperative Control , 2018, IEEE Transactions on Industrial Electronics.

[4]  Hongbin Sun,et al.  Distributed Finite-Time Convergence Control of an Islanded Low-Voltage AC Microgrid , 2018, IEEE Transactions on Power Systems.

[5]  J. Miret,et al.  A wireless controller to enhance dynamic performance of parallel inverters in distributed generation systems , 2004, IEEE Transactions on Power Electronics.

[6]  Yu Zhao,et al.  Leader-following consensus of second-order non-linear multi-agent systems with directed intermittent communication , 2014 .

[7]  Vassilios G. Agelidis,et al.  Distributed Cooperative Control of Microgrid Storage , 2015, IEEE Transactions on Power Systems.

[8]  Anibal T. de Almeida,et al.  Minimization of energy storage requirements for a mixed renewable system with demand-side management , 2009, Conference Record 2009 IEEE Industrial & Commercial Power Systems Technical Conference.

[9]  Francesco Bullo,et al.  Synchronization and power sharing for droop-controlled inverters in islanded microgrids , 2012, Autom..

[10]  R. Olfati-Saber Ultrafast consensus in small-world networks , 2005, Proceedings of the 2005, American Control Conference, 2005..

[11]  Juan C. Vasquez,et al.  State-of-Charge Balance Using Adaptive Droop Control for Distributed Energy Storage Systems in DC Microgrid Applications , 2014, IEEE Transactions on Industrial Electronics.

[12]  Josep M. Guerrero,et al.  Secondary Restoration Control of Islanded Microgrids With a Decentralized Event-Triggered Strategy , 2018, IEEE Transactions on Industrial Informatics.

[13]  Nasser Sadati,et al.  Distributed Robust Finite-Time Secondary Voltage and Frequency Control of Islanded Microgrids , 2017, IEEE Transactions on Power Systems.

[14]  Leon M. Tolbert,et al.  Vehicle-to-Grid Reactive Power Operation Using Plug-In Electric Vehicle Bidirectional Offboard Charger , 2014, IEEE Transactions on Industrial Electronics.

[15]  Andrey Polyakov,et al.  Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems , 2012, IEEE Transactions on Automatic Control.

[16]  Nilanjan Senroy,et al.  Event-Triggered Communication Based Distributed Control Scheme for DC Microgrid , 2018, IEEE Transactions on Power Systems.

[17]  Juan C. Vasquez,et al.  Distributed Nonlinear Control With Event-Triggered Communication to Achieve Current-Sharing and Voltage Regulation in DC Microgrids , 2018, IEEE Transactions on Power Electronics.

[18]  Alessandro Astolfi,et al.  Homogeneous Approximation, Recursive Observer Design, and Output Feedback , 2008, SIAM J. Control. Optim..