Implementation of a Multi-Control Architecture in a Photovoltaic/ Grid/ Electrolysis System for Usual Use and Clean Storage by Hydrogen Production

Sanae Dahbi, Abdelhak Aziz, abdelhafid messaoudi, Mostafa El Ouariachi, Imane Mazozi

Abstract


In this article, the authors proceed to the implementation of an architecture built on a platform of diversified control algorithms. These algorithms are designed to supervise a system that supplies an alternative load by using two sources of energy: photovoltaic (PV) as the main source and the national electric grid as an emergency source).The design of this system is developed by the authors around DC/DC converters in cascade (buck and boost), a DC/AC inverter and en electrolysis for the production of hydrogen as clean storage. Each converter is equipped with its own control algorithm (maximum power point tracking (MPPT) control for the buck and proportional–integral (PI) regulation of the boost). The electrolysisis, too, accompanied by a specific control guaranteeing optimum hydrogen production. For the DC/AC inverter, it is controlled by a conventional control strategy pulse width modulation (PWM Bipolar) to supply an alternative RL load. The electrical grid only intervenes in the last place to fill the energy deficit caused by the photovoltaic source.This assembly of these devices requires an efficient distribution of energy which is achieved by the development of a distribution algorithm toensure the supply of the load under all circumstances and the production of hydrogen when the photovoltaic energy is in excess.


Keywords


Photovoltaic; MPPT; Electrolysis; Hydrogen; Grid; control

Full Text:

PDF

References


S. Dahbi, A.Aziz, N. Benazzi, M. Elhafyani “New method to improving hydrogen production by an adaptive photovoltaic system and P&O algorithm,†J TheorApplInfTechnol, vol.84, pp.42-47,2016.

P.C. Chen, “Configuration of solar-hydrogen mild hybrid fuel cell power systems for electric vehicles,†J. Power Sources, vol.201, pp.243-252, November 2011

A. Yunez-Cano, R. de G. Gonz_alez-Huerta, M. Tufino-Velazquez, R. Barbosa, and B. Escobar, “Solar-hydrogen hybrid system integrated to a sustainable house in Mexico,â€Int J Hydrogen Energy, vol.41, pp. 19539–19545, November 2016

N. A. Kelly, T. L. Gibson, and D. B. Ouwerkerk, “Generation of high-pressure hydrogen for fuel cell electric vehicles using photovoltaic-powered water electrolysis,†Int J Hydrogen Energy, vol.36, pp. 15803–15825, September 2011.

E. Topriska, M. Kolokotroni, Z. Dehouche, E. Wilson, “Solar hydrogen system for cooking applications: Experimental and numerical study,â€J. Renewable Energy, vol.83, pp. 717-728, May 2015.

M. W. Melaina, O. Antonia, and M. Penev,“Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues,†National Renewable Energy Laboratory,March 2013.

S. Ohta,â€Molecular hydrogen as a preventive and therapeutic medical gas:initiation, development and potential of hydrogen medicine,†J. Pharmacology & Therapeutics, vol.144, pp.1-11, October 2014.

S. Dahbi, A. Aziz, N. Benazzi, M. Elhafyani, and N. Benahmed, “Advanced MPPT controller based on P&O algorithm with variable step size and acceleration mechanism for solar photovoltaic system, †In: Proceedings of the Mediterranean Conference on Information & Communication Technologies. Lect. notes Electrical Engeniring 381, pp. 57-67, 2015.

A. Garrigos, J.L. Lizan, J.M. Blanes, and R. Gutierrez,†Combined maximum power point tracking and output current control for a photovoltaic-electrolyser DC/DC converter,†Int J Hydrogen Energy, vol., pp. 1-13, 2014.

B. Madaci, R. Chenni, E. Kurt, and K. E. Hemsas, “Design and control of a stand-alone hybrid power system,†Int J Hydrogen Energy, vol., pp. 1-12, 2016

P. Garcia, J. P. Torreglosa, L. M. Fernandez, F. Jurado, â€Optimal energy management system for standalone wind turbine/photovoltaic/hydrogen/battery hybrid system with supervisory control based on fuzzy logic,â€Int J Hydrogen Energy, vol.38, pp. 14146-14158, September 2013.

D. Ipsakisa, S. Voutetakisa, P. Seferlis, F. Stergiopoulos, and C. Elmasides,â€Power management strategies for a stand-alone power system using renewable energy sources and hydrogen storage,â€Int J Hydrogen Energy, vol.34, pp.7081-7095,August 2009.

S. Sichilalu , H. Tazvinga , and X.Xia, “ Optimal control of a fuel cell/wind/PV/grid hybrid system with thermal heat pump load,†J. Solar energy, vol.135,pp.59-69, October 2016.

M.G. Villalva, J.R Gazoli, and E.R Filho, “Comprehensive approach to modeling and simulation of photovoltaic arrays,†IEEE Trans Power Electron,vol. 24, pp. 1198-208, May 2009

A. Aziz. Propriétés électriques des composants électroniques minéraux et organiques, conception et modélisation d'une chaine photovoltaïque pour une meilleure exploitation de l’énergie solaire. Thesis. Toulouse: III-Paul Sabatier University; 2006.

A.R. Reisi, M.H. Moradi, and S. Jamas, “Classification and comparison of maximum power point tracking techniques for photovoltaic system: a review. Renew Sustain Energy Rev, vol.19, pp. 433-443, March2013

D. Rekioua, and E.Matagne, “Optimization of photovoltaic power systems: modelization, simulation and control,†London: Springer-Verlag; 2012.

S. Dahbi, R. Aboutni, A. Aziz, N. Benazzi, M. Elhafyani, and K. Kassmi, “Optimised hydrogen production by a photovoltaic electrolysis system DC/DC converter and water flow controller,†Int J Hydrogen Energy, vol.41, pp. 20858–20866, December 2016.

D. Ipsakis, F. Stergiopoulos, S. Voutetakis, C. Elmasides, P. Seferlis, and S Papadopoulou, “Study of an autonomous power system based on solar and wind energy with hydrogen as the intermittent energy source for future use,†Conference proceedings of the 4th Dubrovnik Conference on Sustainable Development of Energy Water and Environmental Systems, Dubrovnik, Croatia,pp.5569-5576,4-8 June 2007.




DOI (PDF): https://doi.org/10.20508/ijrer.v7i4.6275.g7226

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