Dynamic performance improvement of an inverter-based grid-connected microgrid

In this paper, a new control technique for stability improvement of the grid connected microgrids is proposed. Grid connected microgrid including voltage source inverter (VSI), PLL, coupling inductance, LC filter as well as power, and current controllers is modeled. PI power and current controllers are optimally designed to improve the stability response of the grid connected microgrid. The power controller is designed to determine the reference current using the measured dq voltage and current while the minimizing of the error between the measured output and reference currents is the aiming of the current controller. The design of the power and current controller parameters as well as LC filter components and damping resistance is formulated as an optimization problem where particle swarm optimization is employed to solve the design problem. For dynamic enhancement of the grid connected microgrid, an objective function of the nonlinear time domain simulation is considered. The power exported response of the grid using the optimal parameters is checked using a step (up and down) change disturbance in the injected active and/or reactive powers. The effectiveness of the proposed approach for the microgrid stability enhancement is shown in the results.

[1]  Mariesa L. Crow,et al.  Pricing and Control in the Next Generation Power Distribution System , 2012, IEEE Transactions on Smart Grid.

[2]  Johanna M. A. Myrzik,et al.  Integration Issues of Distributed Generation in Distribution Grids , 2011, Proceedings of the IEEE.

[3]  Bill Rose,et al.  Microgrids , 2018, Smart Grids.

[4]  M. A. Abido Optimal des'ign of Power System Stabilizers Using Particle Swarm Opt'imization , 2002, IEEE Power Engineering Review.

[5]  M. A. Abido,et al.  Optimal Design of Microgrids in Autonomous and Grid-Connected Modes Using Particle Swarm Optimization , 2011, IEEE Transactions on Power Electronics.

[6]  F. Blaabjerg,et al.  Distributed Generation: Toward a New Energy Paradigm , 2010, IEEE Industrial Electronics Magazine.

[7]  M. A. Abido,et al.  Optimal autonomous control of an inverter-based microgrid using particle swarm optimization , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[8]  Yangguang Yan,et al.  Seamless Transfer of Single-Phase Grid-Interactive Inverters Between Grid-Connected and Stand-Alone Modes , 2010, IEEE Transactions on Power Electronics.

[9]  Rashad M. Kamel,et al.  Detailed Analysis of Micro-Grid Stability during Islanding Mode under Different Load Conditions , 2011 .

[10]  Qing-Chang Zhong,et al.  Robust Droop Controller for Accurate Proportional Load Sharing Among Inverters Operated in Parallel , 2013, IEEE Transactions on Industrial Electronics.

[11]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[12]  J.A.P. Lopes,et al.  Control strategies for microgrids emergency operation , 2005, 2005 International Conference on Future Power Systems.

[13]  Il-Yop Chung,et al.  Control Methods of Inverter-Interfaced Distributed Generators in a Microgrid System , 2010, IEEE Transactions on Industry Applications.

[14]  N. Hatziargyriou,et al.  Microgrids: an overview of ongoing research, development, anddemonstration projects , 2007 .

[15]  Zhang Nan,et al.  Micro-grid connected/islanding operation based on wind and PV hybrid power system , 2012, IEEE PES Innovative Smart Grid Technologies.

[16]  Zhao Hui,et al.  Optimal Design of Power System Stabilizer Using Particle Swarm Optimization , 2006 .

[17]  Stephen J. Finney,et al.  A Maximum Power Point Tracking Technique for Partially Shaded Photovoltaic Systems in Microgrids , 2013, IEEE Transactions on Industrial Electronics.

[18]  Tao Zhou,et al.  Energy Management and Power Control of a Hybrid Active Wind Generator for Distributed Power Generation and Grid Integration , 2011, IEEE Transactions on Industrial Electronics.

[19]  Bo Lei,et al.  Strategy of research and application for the microgrid coordinated control , 2011, 2011 International Conference on Advanced Power System Automation and Protection.

[20]  Timothy C. Green,et al.  Control of inverter-based micro-grids , 2007 .