Abstract
This paper presents an energy management strategy of a HES microgrid between the different elements of connected microgrids in an optimal way. It develops a new Fuzzy Logic Control method (FLC) of Hybrid Energy System (HES: PV/Wind turbine/battery/grid), that aims at minimizing the power fluctuation between the microgrid and the main grid (the utility grid) to cope with the power demands, reduce the troubles caused by the distributed renewable energy sources, decrease the deep discharges of the battery and preserve its lifetime. Indeed, many management scenarios can be proposed according to the available energy sources, the energy consumption, the energy exchanged with the main grid and the battery’s charge state in order to ensure the algorithm’s well-functioning. Rule-based and Fuzzy Logic Control systems are simulated using MATLAB/Simulink.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Katiraei, M., Iravani, R., Lehn, P.W.: Micro grid autonomous operation during and subsequent to islanding process. IEEE Trans. Power Del. 22(1), 248–257 (2005)
Hatziargyriou, N., Asano, H., Iravani, R., Marnay, C.: Microgrids. IEEE Power and Energy Mag. 5(4), 78–94 (2007)
Ribeiro, P.J.S.: Optimização de Estratégias de Operação de Sistemas Híbridos (2009)
Kanakasabapathy, P., Gopal, V.K., Abhijith, V., Mohan, A.: E H S Reddy, energy management and control of solar aided UPS. Tap Energy 2015, 363–368 (2015)
Arcos-Aviles, D., Espinosa, N., Guinjoan, F., Marroyo, L., Sanchis, P.: Improved fuzzy controller design for battery energy management in a grid connected microgrid. In: IECON 2014 - 40th Annual Conference on IEEE Industrial Electronics Society, Dallas, TX, USA, pp. 2128–2133, October 2014
Salamsi, F.R.: Control strategies for hybrid electric vehicles: evolution, classification, comparison and future trends, IEEE Trans. Veh. Technol. 56(5) (2007)
Desai, S., Williamson, S.: Comparative study of hybrid electric vehicle control strategies for improved drivetrain efficiency analysis. In: IEEE (2009)
Sadoun, R., Rizoug, N., Bartholomeus, P., Le Moigne, P.: Optimal architecture of the hybrid source (battery/supercapacitor) supplying an electric vehicle according to the required autonomy. In: 2013 15th European Conference on Power Electronics and Applications, EPE 2013 (2013)
Neffati, A., Guemri, M., Caux, S., Fadel, M.: Energy management strategies for multi-source systems. Electr. Power Syst. Res. 102, 42–49 (2013)
Tedjani, M.: Design of a DC/DC power converter for li-ion battery/supercapacitor hybrid energy storage system in electric vehicles. In: Mamouri, L., Mesbahi, T., Bartholomeus, P., Paul, T. (eds.) 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings (2020)
Ngueveu, S.U., Caux, S., Messine, F., Guemri, M.: Heuristics and lower bounds for minimizing fuel consumption in hybrid-electrical vehicles. 4OR-Q J. Oper. Res. 15(4), 407–430 (2017)
Mirecki, A., Roboam, X., Richardeau, F.: Comparative study of maximum power strategy in wind turbines. In: IEEE International Symposium on Industrial Electronics, 2004, vol. 2, pp. 993–998 (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Chouaf, W., Abbou, A., Agga, A. (2022). Energy Management in a Connected DC Microgrid Using Fuzzy Controller. In: Hamlich, M., Bellatreche, L., Siadat, A., Ventura, S. (eds) Smart Applications and Data Analysis. SADASC 2022. Communications in Computer and Information Science, vol 1677. Springer, Cham. https://doi.org/10.1007/978-3-031-20490-6_21
Download citation
DOI: https://doi.org/10.1007/978-3-031-20490-6_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-20489-0
Online ISBN: 978-3-031-20490-6
eBook Packages: Computer ScienceComputer Science (R0)