Control and management of energy in a PV system equipped with batteries storage
In this paper we present a work concerning the conception, implementation and testing of a photovoltaic system that is equipped with a new concept of control and manage the energy in a PV system with a battery storage. The objective is to exploit the maximum of power using Hill climbing improved algorithm that considers optimal electrical characteristics of PV panels regardless of the system perturbation, to manage the energy between blocs of PV system in order to control the charge/discharge process and inject the energy surplus into the grid and also to estimate the state of charge with precision. Moreover, the system guarantees the acquisition and presentation of results on computer, supervision and so on. The results obtained show the robustness of the PV system, good control and protection of batteries under the maximum of energy provided by the PV panels. The state of charge estimation is evaluated by using measured parameters in real time; it shows an improvement of around 5% compared to the conventional technique.
Eftichios Koutroulis, and Frede Blaabjerg, “Design Optimization of Transformerless Grid-Connected PV Inverters Including Reliability” IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 28, NO. 1, JANUARY 2013 325
Rodolfo Dufo-López , Juan M. Lujano-Rojas, José L. Bernal-Agustín “Comparison of different lead–acid battery lifetime prediction models for use in simulation of stand-alone photovoltaic systems”Applied Energy 115 (2014) 242–253
Hongbin Wu, Shuzhao Wang1, Bo Zhao2 and Chengzhi Zhu2 “Energy management and control strategy of a grid-connected PV/battery system”International Transactions on Electrical Energy Systems Article first published online: 18 APR 2014 DOI: 10.1002/etep.1926
Mehdi Dali a, Jamel Belhadj, Xavier Roboam, Hybrid solarewind system with battery storage operating in grid–connected and standalone mode: Control and energy management e Experimental investigation, Energy 35 (2010) 2587e2595
Chang Yoon Chun a, Jongbok Baek a, Gab-Su Seo a, B.H. Cho a, *, Jonghoon Kim b, Il Kwon Chang c, Sangwoo Lee c “Current sensor-less state-of-charge estimation algorithm for lithium-ion batteries utilizing filtered terminal voltage” Journal of Power Sources 273 (2015) 255e263
Saeed Sepasi a,*, Reza Ghorbani a, Bor Yann Liaw b “A novel on-board state-of-charge estimation method for aged Li-ion batteries based on model adaptive extended Kalman filter”Journal of Power Sources 245 (2014) 337e344
K. Hirech, M. Melhaoui, F. Yaden, E. Baghaz, K. Kassmi, Design and realization of an autonomous system equipped with a regulator of charge/discharge and digital MPPT command, The Mediterranean Green Energy Forum 2013, MGEF-13
M. Melhaoui, E. Baghaz, K. Hirech, F. Yaden, Khalil Kassmi, Contribution to the Improvement of the MPPT Control Functioning of Photovoltaic Systems, International Review of Electrical Engineering (IREE), [S.l.], v. 9, n. 2, p. 393-400, apr. 2014. ISSN 1827-6679.
Kong-Soon Ng, Yao Feng Huang, Chin-Sien Moo, and Yao-Ching Hsieh, An Enhanced Coulomb Counting Method for Estimating State-of-Charge and State-ofHealth of Lead-Acid Batteries, IEEE transaction. Published in Telecommunications Energy Conference, 2009. INTELEC 2009. 31st International.
Hongxing Yang , Zhaohong Fang, Wei Zhou, Battery behavior prediction and battery working states analysis of a hybrid solar–wind power generation system, Renewable Energy 33, 2008, 1413–1423.
E. Baghaz, M. Melhaoui, F. Yaden, K. Hirech, K. Kassmi.Design, realization and optimization of the photovoltaic systems equipped with analog and digital MPPT commands .Energy Procedia 42 (2013)
Web-page : http://www.cadence.com, 2014
Jung Hun So, Young SeokJung, Gwon Jong Yu, Ju Yeop Choi, Jae Ho Choi, Performance results and analysis of 3 kW grid-connected PV systems, Renewable Energy 32, 2007, 1858–1872.
Danny H.W. Li, K.L. Cheung, Tony N.T. Lam, Wilco W.H. Chan, A study of grid-connected photovoltaic (PV) system in Hong Kong, Applied Energy 90, 2012, 122–127. Contents lists available at Science Direct Applied Energy.
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