Fuzzy Logic Based Battery Power Management for PV and Wind Hybrid Power System
DOI:
https://doi.org/10.51983/ajsat-2014.3.1.787Keywords:
Battery management, Fuzzy logic control, State of chargeAbstract
This paper proposes an approach for the hybrid solar photovoltaic and wind power system in Battery management for stand-alone applications. Battery charging process is nonlinear, time-varying with a considerable time delay so it is difficult to achieve the best energy management performance by using traditional control approaches. A fuzzy control strategy for battery charging or discharging used in a renewable power generation system is analyzed in the paper. To improve the life cycle of the battery, fuzzy control manages the desired state of charge (SOC). A fuzzy logic-based controller to be used for the Battery SOC control of the designed hybrid system is proposed and compared with a classical PI controller for the performance validation. The entire designed system is modelled and simulated using MATLAB/Simulink Environment.
References
P. Chiradeja and R. Ramakumar, “An approach to quantify the technical benefits of distributed generation,” IEEE Trans. Energy Convers., vol. 19, no. 4, pp. 764–773, Dec. 2004.
M. H. Nehrir, C. Wang, K. Strunz, H. Aki, R. Ramakumar, J. Bing, Z. Miao, and Z. Salameh, “A review of hybrid renewable/ alternative energy systems for electric power generation: Configurations, control, and applications,” IEEE Trans. Sustain. Energy, vol. 2, no. 4, pp. 392–403, Oct. 2011.
Jeroen Tant, Student Member, Frederik Geth, Daan Six, Peter Tant, “Multiobjective Battery Storage to Improve PV Integration in Residential Distribution Grids” IEEE Trans. On Sustain Energy, Vol. 4, No. 1, January 2013
Yong Yin, Xing Luo, Shen Guo, Zude Zhou and Jihong Wang, “A Battery Charging Control Strategy for Renewable Energy Generation Systems” Proceedings of the World Congress on Engineering 2008
Yu-Kai Chen, Yung-Chun Wu, Chau-Chung Song, and Yu-Syun Chen, “Design and Implementation of Energy Management System With Fuzzy Control for DC Microgrid Systems” IEEE Transactions On Power Electronics, Vol. 28, No. 4, April 2013
P. Rong and M. Pedram, “Dynamic Lithium-Ion Battery Model for System Simulation”, IEEE Transactions on Very Large Scale Integration Systems, vol. 14, 2006.
K. A. Smith, “Electrochemical Modeling, Estimation and Control of Lithium-ion Batteries”, Department of Mechanical Engineering, The Pennsylvania State University, USA, 2006.
Onur Ozdal Meng˙I, Ismail Hakkı Altas, “Fuzzy Logic control of wind/Battery renewable energy production system” Turk J Elec Eng & Comp Sci, Vol.20, No.2, 2012
S.N Sivanandham and S.N Deepa, “Principals of Soft Computing”, Wiley India Ltd, 2007.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 The Research Publication
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.