Optimized PI constant for current controller of grid connected inverter with LCL filter using Genetic Algorithm

This paper presents optimized PI constant for current controller of grid connected inverter with LCL filter. The controller consists of PI controller applied in Synchronous References Frame to control inverter current. To analyze the controller, the system should be modeled. Unfortunately the system is too complex. Therefore, to simplify the system, it is converted into a balanced single-phase model. Furthermore, the complexity of system increased the difficulties of PI constants tuning. To tune the PI constants, controller loop is formulated as an objective function with constraints of transient responses and steady state error. GA (Genetic Algorithm) will optimize simultaneously to obtain optimal values for the constants of PI controller. The GA algorithm is simulated under MATLAB. Then, the optimized PI constants are verified in circuit of PSIM Simulator. Simulation results confirm the method could determine PI constants for the best response.

[1]  Josep M. Guerrero,et al.  Analysis, Design, and Experimental Verification of a Synchronous Reference Frame Voltage Control for Single-Phase Inverters , 2014, IEEE Transactions on Industrial Electronics.

[2]  Francisco Jurado Novel fuzzy flux control for fuel-cell inverters , 2005, IEEE Transactions on Industrial Electronics.

[3]  Tai-shan Yan An Improved Genetic Algorithm and Its Blending Application with Neural Network , 2010, 2010 2nd International Workshop on Intelligent Systems and Applications.

[4]  T. Yokoyama,et al.  Digital Control Method for Single Phase Utility Interactive Inverter Using Deadbeat Control with FPGA Based Hardware Controller , 2006, 2006 12th International Power Electronics and Motion Control Conference.

[5]  Josep M. Guerrero,et al.  A novel control technique for single-phase grid-connected inverters , 2011, Proceedings of the 2011 International Conference on Electrical Engineering and Informatics.

[6]  Mauridhi Hery Purnomo,et al.  Optimized GDPWM based on Spontaneous Evolutionary GA for reducing switching losses on inverter , 2013, 2013 International Conference on Information Technology and Electrical Engineering (ICITEE).

[7]  Pengfei Guo,et al.  The enhanced genetic algorithms for the optimization design , 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

[8]  Donald Grahame Holmes,et al.  Grid current regulation of a three-phase voltage source inverter with an LCL input filter , 2003 .

[9]  E.F. El-Saadany,et al.  Adaptive Grid-Voltage Sensorless Control Scheme for Inverter-Based Distributed Generation , 2009, IEEE Transactions on Energy Conversion.

[10]  E.F. El-Saadany,et al.  Adaptive Discrete-Time Grid-Voltage Sensorless Interfacing Scheme for Grid-Connected DG-Inverters Based on Neural-Network Identification and Deadbeat Current Regulation , 2008, IEEE Transactions on Power Electronics.