Stability Enhancement of PV Powered Microgrid using Levenberg-Marquardt Algorithm Based Intelligent Controller Under Grid-connected Mode

Keywords: Stability of microgrid, LM-algorithm, ANN controller, voltage source converter, time-domain simulation, power-flow regulation.


An effective and robust controller is designed using Levenberg-Marquardt (LM) algorithm-based Artificial Neural Network (ANN) for the solar Photo-Voltaic (PV) based distributed generation units for stabilizing the grid-connected microgrid (MG) under load changes and irradiance variations. A test system comprising of two PV units and one diesel generator unit connected to the utility grid is modelled and considered for the controller design in MATLAB/Simulink environment. PV generated power is injected into the grid through voltage source converter (VSC) regulated by using the proposed ANN controller. Based on the grid voltage and available PV generation, the ANN controller regulates the inverter current by setting the reference voltage vector to synthesize gating pulses for the inverter. The robustness of the controller design is analysed and validated through time-domain simulations by subjecting it to extreme operating conditions. The controller performance is evaluated by Integral Square Error (ISE) and Integral Time Absolute Error (ITAE) for the test system. The results are compared with conventional PI and PID controllers to prove the superior performing ANN controller.


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Author Biographies

Anantha Krishnan Venkatesan, SELECT, Vellore Institute of Technology, Chennai, Tamil Nadu, India

Anantha Krishnan Venkatesan received B.E degree in Electrical and Electronics Engineering from Madras University, India, 2001, M.E in Power Systems Engineering, College of Engineering, Guindy, Anna University, India, 2006. He is working as Assistant Professor in the School of Electrical Engineering of Vellore Institute of Technology, Chennai Campus, India. His current research interests include Microgrids, Stability Analysis in Microgrid, Neural Network and Fuzzy logic Controller applications.

Senthil Kumar Natarajan, SELECT, Vellore Institute of Technology, Chennai, Tamil Nadu, India

Senthil Kumar Natarajan completed his B.E degree in Electrical & Electronics Engineering in the year 1997 from University of Madras. He completed his Master’s degree from the faculty Electrical Engineering Anna University, Chennai in the year 2000. He has 22 years of teaching experience. He completed his Ph.D Degree from Anna University on the topic “Stabilization of Power Systems includes grid connected Windfarms using FACTS controllers” in the year 2010. He is presently serving as Professor in the School of Electrical Engineering, Vellore, Institute of Technology, Chennai India. His areas of research interest include power system control, power system stability, modeling of FACTS devices for small signal stability and transient stability studies.


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SPECIAL ISSUE: Energy Access & Off-Grid Systems for Residential Microgrids/Nanog