Modeling and Control of a Three Level DCI in a Grid Connection Photovoltaic/Battery Storage System

Kamal Himour, Kaci Ghedamsi, Elmadjid Berkouk

Abstract


This paper aimed to evaluate the use of a photovoltaic-battery storage system to supply electric power in the distribution grid through a multilevel inverter. A DC-DC converter is used to interface a photovoltaic (PV) generator and a lead-acid battery bank to a common DC-link. Maximum Power Point Tracker (MPPT) that allows extraction of maximum available power from the photovoltaic (PV) panels has been included. This MPPT is based on Perturb and observe method. A three level diode clamped inverter is connected to the grid by a traditional three phase transformer. To generate proper multilevel voltage waveforms, a fast and simplified space vector modulation is adopted. The proposed control scheme ensures the injection of a reference power in the distribution grid and controls the reactive power with fast dynamic response. The validation of the proposed system is proved by simulation of the whole system using MATLAB-Simulink software.

 


Full Text:

PDF

References


L. Hassaine, E. Olı´as, Simulation of grid-interface connecting photovoltaic power systems. Proceedings of the World Renewable Energy Congress IX Florence, Italy, 2006

N. Hamrouni_, M. Jraidi, A. Che´ rif. New control strategy for 2-stage grid-connected photovoltaic power system. Renewable Energy 33 (2008) 2212–2221

A. AL-Amoudi, L. Zhanc, Optimal control of a grid-connected PV system for maximum power point tracking and unity power factor. On power electronics and variable speed drives. Seventh International Conference on (Conf. Publ. No. 456), London, 1998, pp. 80–85

Wu T-F, Nien H-S, Shen C-L, Chen T-M. A single-phase inverter system for PV power injection and active power filtering with nonlinear inductor consideration. Transactions on Industry Application 2005 Jul–Aug;41(4):1075–83

Dali M, Belhadj J, Roboam X. Hybrid solar-wind system with battery storage operating in grid connected and standalone mode: control and energy management-experimental investigation. Energy 2010;35(6):2587-95

Pouresmaeil E, Montesinos-Miracle D, Gomis-Bellmunt O, Bergas-Jané J.A multi-objective control strategy for grid connection of DG (distributed generation) resources. Energy 2010;35(12):5022-30

Anna Rita Di Fazio, Mario Russo. Photovoltaic generator modelling to improve numerical robustness of EMT simulation. Electric Power Systems Research 83 (2012) 136– 143

Hohm DPM, Roop ME. Comparative study of maximum power point tracking algorithms. Progress in Photovoltaic: Research and Applications 2003;11: 47-62

. Benjamin Wichert. Control of Photovoltaic Diesel Hybrid Energy Systems. PHD thesis of the Curtin University of Technology. 2000

S. Armstrong, M. E. Glavin, and W. G. Hurley, .Comparison of battery charging algorithms for stand-alone photovoltaic systems. IEEE Power Elect. Specialists Conference, 2008, pp. 1469-1475.

Alberto Lega. Multilevel Converters: Dual Two-Level Inverter Scheme. Ph.D. thesis. University of Bologna March 2007.

J.S. Lai, F.Z. Peng, Multilevel converters : a new breed of power converters. IEEE Transactions on Industry Applications 32 (May (3)) (1996),pp. 509–517.

. N. Celanovic. Space vector modulation and control of multilevel converters. PhD thesis, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA, 2000.

Lalili D. Berkouk E. M., Boudjema F. , Lourci N.,Taleb T. and Petzold, J. Simplified space vector PWM algorithm for three-level inverter with neutral point potential control, The Medeteranean Journal of Measurement and Control. vol 3, No 1, ( 2007), pp.30-39.

F. Blaabjerg, R. Teodorescu, M. Liserre, and A. Timbus. Overview of Control and Grid Synchronization for Distributed Power Generation Systems. IEEE Trans. Ind. Electron., vol. 53, no. 5, pp. 1398-1409, Oct. 2006.

Bouchafaa F, Beriber D, Boucherit M.S. Modeling and control of a gird connected PV generation system. In: 18th Mediterranean Conference on Control & Automation, 2010. pp. 315–320.




DOI (PDF): https://doi.org/10.20508/ijrer.v3i3.657.g6169

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE between 2020-2022; 

h=30,

Average citation per item=5.73

Impact Factor=(1638+1731+1808)/(189+170+221)=9.24

Category Quartile:Q4