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.

Abstract

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.

Downloads

Download data is not yet available.

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.

References

Ritwik Majumder, “Some Aspects of Stability in Microgrids”, IEEE transactions on power systems, vol. 28, No. 3, pp. 3243–3252, Aug. 2013.

Zhuoli Zhao, Ping Yang, Zhirong Xu and Joseph M. Guerrero, “Dynamic Characteristics Analysis and Stabilization of PV-Based Multiple Microgrid Clusters”, IEEE transactions on smart grid, vol. 10, No. 1, pp. 805–818, Jan. 2019.

Xiangyu Wu, and Chen Shen, “Distributed Optimal Control for Stability Enhancement of Microgrids with Multiple Distributed Generators”, IEEE transactions on power system, vol. 32, No. 5, pp. 4045–4059, Sep. 2017.

Moudud Ahmed, Arash Vahidnia, Lasantha Meegahapola, and Manoj Datta, “Small Signal Stability Analysis of a Hybrid AC/DC Microgrid with Static and Dynamic Loads”, IEEE Australasian Universities Power engineering conference, 2017.

Mohammad B. Delghavi and Amirnaser Yazdani, “An Adaptive Feedforward Compensation for Stability Enhancement in Droop-Controlled Inverter-Based Microgrids”, IEEE transactions on power delivery, vol. 26, No. 3, pp. 1764–1773, July 2011.

Xisheng Tang, Wei Deng, and Zhiping Qi, “Investigation of the Dynamic stability of microgrid”, IEEE transactions on Power systems, vol. 29, No. 2, pp. 698–706, 2014.

P.C. Sekhar, Sukumar Mishra, Rishi Sharma, “Data analytics based neuro-fuzzy controller for diesel-photovoltaic hybrid AC microgrid”, IET Generation, Transmission & Distribution, Special Issue on Sensors and Data Analytics for Smart Grid Infrastructure, IET Generation Transmission Distribution, vol. 9, no. 2, pp. 193–207, Feb. 2015.

Shang-Jen Chuang, Chih-Ming Hong, Chiung-Hsing Chen, “Design of intelligent control for stabilization of microgrid system”, Electrical Power and Energy Systems, vol. 82, pp. 569–578, Nov. 2016.

Larbi Djilali, Edgar N. Sanchez, Fernando Ornelas-Tellez, Alberto Avalos, and Mohammed Belkheiri, “Improving Microgrid Low-Voltage Ride-Through Capacity Using Neural Control”, IEEE Systems Journal, vol. 14, no. 2, pp. 2285–2836, June 2020.

N. Chettibi, A. Mellit, “Intelligent control strategy for a grid-connected PV/SOFC/BESS energy generation system”, Energy, vol. 147, pp. 239–262, March 2018.

Larbi Djilali, Edgar N. Sanchez, Fernando Ornelas-Tellez and Mohammed Belkheiri, “Neural Network Based Controller for an AC Microgrid Connected to a Utility Grid”, IEEE Latin American Conference on Computational Intelligence (LA-CCI) Guadalajara, Jalisco, Mexico, 2018, November 7–9.

Yuchen Dai, Chengshun Yang, Dezhi Xu and Xiaoning Huang, “RBF Neural Network Adaptive PID Control for Energy Storage System in Grid-Connected Photovoltaic Microgrid”, 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 2018.

Yaran Li, Long Fu, Ke Meng, Zhao Yang Dong, Kashem Muttaqi and Wenli Du, “Autonomous Control Strategy for Microgrid Operating Modes Smooth Trasition”, IEEE access, vol. 8, pp. 142159–142172, August 2020.

Zhuoli Zhao, Ping Yang, Zhirong Xu, Josep M.Guerrero, IEEE transactions on Smart Grid, vol. 10, No. 1, pp. 805–817, January 2019.

S. Mishra, D. Ramasubramanian, and P. C. Sekhar, “A Seamless Control Methodology for a Grid-Connected and Isolated PV-Diesel Microgrid”, IEEE transactions on power systems, vol. 28, No. 4, pp. 4393–4494, Nov. 2013.

Sunpower SPR-315-E-WHT-D (315W) solar panel, Datasheet, “http://www.solar-facts-and-advice.com/support-files/sp_315ewh_en_ltr_p_ds.pdf”, sunpowercorp.com, Document #001-52285 Rev*A / LTR_EN, May 2009.

Emergency Diesel-Generator and Asynchronous motor, Documentation, “https://in.mathworks.com/help/physmod/sps/examples/emergency-diesel-generator-and-asynchronous-motor.html#d120e20981”, Mathworks.

Hao Yu and Bogdan M. Wiliamowski, “The Industrial Electronics handbook 2nd edition”, Intelligent systems, CRC press, 2011, vol. 5, Chapter 12, pp. 12-1–12-5.

Published
2021-11-18
Section
SPECIAL ISSUE: Energy Access & Off-Grid Systems for Residential Microgrids/Nanog