Prediction-based Deadbeat Control for Grid-connected Inverter with L-filter and LCL-filter

Abstract

Abstract—In this article, an improved deadbeat control algorithm suitable for digital signal processor-based circuit implementation is proposed. The control algorithm allows the derivation of a nearly sine wave output current with a fixed switching frequency of a current-controlled voltage source inverter. Two low-pass output filters configurations are considered in this study: a simple inductance filter and an LCL-filter. By taking advantage of prior knowledge of the state variables’ shape, the improved deadbeat control algorithm is based on a simple prediction model to derive the expected duty cycle needed to switch on and off the power switches. The control study of the grid-connected inverter with L and LCL output filters has been considered using a co-simulation approach with (Powersim Inc., Rockville, Maryland, USA) and MATLAB software (The MathWorks, Natick, Massachusetts, USA). The obtained results show the improvement of both shape quality and tracking accuracy of the output current quantified by low ripple content and a nearly unity power factor.

Keywords:

• renewable energy
• single-phase inverter
• grid-connected
• deadbeat algorithm
• predictive control
• L-filter
• LCL-filter
• unity power factor
• lower total harmonic distortions
• digital signal processor

Additional information

Notes on contributors

Abousoufiane Benyoucef

Abousoufiane Benyoucef received his License and Master degrees in Electrical Engineering from the Saad Dahlab University of Blida, Algeria, in 2009 and 2011 respectively. Currently, he is an assistant researcher in Electrical Systems and Remote control Laboratory (LabSET), His research interests include control of power converters, grid connected PV systems, artificial intelligence and heuristic optimization.

Kamel Kara

Kamel Kara received the engineering diploma in electronics from the University of Setif, Algeria, in 1992, and the magister diploma in electronics from the University of Constantine, Algeria, in 1995, and the doctoral degree from the University of Setif, Algeria, in 2006. He was an associate lecturer, from Sep. 1995 to Sep. 1996, at the higher institute of industry, Misurata, Lybia. Presently, he is an associate professor in signal processing and systems control at the Department of electronics, University of Blida, Algeria. His current research interests are focused on nonlinear systems identification and control, artificial intelligence, heuristic optimization, diagnostic and control of photovoltaic systems and embedded systems.

Aissa Chouder

Aissa Chouder received The Ingénieur and Magister in Electronics degrees from Ferhat Abbas University, Sétif, Algeria in 1991 and 1999 respectively and the Ph.D degree in Electronic Engineering From the Polytechnic University of Catalonia (UPC) in 2010. He is currently a senior researcher in the photovoltaic laboratory of Development Centre of Renewable Energies (CDER), Algiers, Algeria. His research interest includes power electronics, modeling and control of renewable energy sources, fault detection and diagnosis in photovoltaic systems.

Santigo Silvestre

Santigo Silvestre received the M.S. and Ph.D. degrees in Telecommunication Engineering from the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in 1992 and 1996, respectively. Associate Professor of the Electronic Engineering Department at the UPC, were he has been Vice Dean of the Telecommunication Engineering School of Barcelona from June 2000 to April2006. He is a Senior Member of the IEEE from 2006 and Associate Editor of the Journal of Solar Energy Engineering (ASME) from 2011.The main research areas of work, where he has been involved are: Solar Cells (simulation, design, characterization and fabrication), Photovoltaic systems (simulation, modeling, monitoring and design of automatic fault detection for PV systems), Grid connected PV systems (simulation and modeling).