A Robust Control Strategy for Microgrid Energy Using Fuzzy Logic

• Autorzy: Meryem Meliani , Abdellah El Barkany , Ikram El Abbassi , Rafik Absi , Faouaz Jeffali
• Języki publikacji: EN

Abstrakty

EN

This paper highlights the storage charging and discharging issue. The study objective is to manage the energy inputs and outputs of the principal grid at the same time in order to maximize profit while decreasing costs, as well as to ensure the availability of energy according to demand and the decisions to either save or search for energy. A fuzzy logic control model is applied in MATLAB Simulink to deal with the system's uncertainties in scheduling the storage battery technology and the charging- discharging. The results proved that the fuzzy logic model has the potential to efficiently lower fluctuations and prolong the lifecycle. (original abstract)

Słowa kluczowe

EN

Energetics; Energy network; Smart grid; Renewable energy sources; Fuzzy logic

PL

Energetyka; Sieć energetyczna; Inteligentna sieć; Odnawialne źródła energii; Logika rozmyta

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2023
• Tom: 14
• Numer: nr 1
• Strony: 127--136

Twórcy

autor

Meryem Meliani

• Sidi Mohammed Ben Abdellah University, Morocco

autor

Abdellah El Barkany

• Sidi Mohammed Ben Abdellah University, Morocco

autor

Ikram El Abbassi

• ECAM-EPMI, France

autor

Rafik Absi

• ECAM-EPMI, France

autor

Faouaz Jeffali

• Mohammed First University, Morocco

Bibliografia

• Aghajani G., Yousefi N. (2019), Multi-objective optimal operation in a micro-grid considering economic and environmental goals, Evolving Systems, No. 2, Vol. 10, pp. 239-248.
• Arcos-Aviles D., Pascual J., Marroyo L., Sanchis P., Guinjoan F., (2018), Fuzzy logic-based energy management system design for residential grid-connected microgrids, IEEE Trans. Smart Grid, No. 2, Vol. 9, pp. 530543.
• Burton T., Jenkins N., Sharpe D., Bossanyi E. (2011), Wind Energy Handbook, Wiley: Hoboken, NJ, USA.
• Chen Y.-K., Wu Y.-C., Song C.-C., Chen Y.-S., (2013), Design and implementation of energy management system with fuzzy control for DC microgrid systems, IEEE Trans. Power Electron., No. 4, Vol. 28, pp. 15631570.
• Cheng Y., Liu Y., Hesse H.C. (2018), A PSOoptimized fuzzy logic control-based charging method for individual household battery, Energies, No. 469, p. 469, Vol. 11.
• El Bourakadi D., Yahyaouy A., Boumhidi J. (2020), Multi-agent system based on the extreme learning machine and fuzzy control for intelligent energy management in microgrid, Journal of Intelligent Systems, No. 1, Vol. 29, pp. 877-893.
• Faisal M., Hannan M.A., Ker P.J., Hussain A., Mansur M., Blaabjerg F. (2018), Review of Energy storage system technologies in microgrid applications: Issues and challenges, IEEE Access Vol. 6, No. 1. DOI: 10.1109/ACCESS.2018.2841407.
• Faisal M., Hannan M.A., Ker P.J., Rahman M.A., Begum R.A., Mahlia T.M.I. (2020), Particle swarm optimised fuzzy controller for charging-discharging and scheduling of battery energy storage system in MG applications, Energy Reports, Vol. 6, pp. 215-228.
• Faisal M., Hannan M.A., Ker P.J., Uddin M.N. (2019), Backtracking search algorithm based fuzzy charging-discharging controller for battery storage system in microgrid applications, IEEE Access, No. 7, 159357-159368.
• Faisal M., Koivo H. (2011), Modelling and environmental/economic power dispatch of microgrid using multiobjective genetic algorithm optimization, Fundam. Adv. Topics Wind Power, pp. 361-378.
• Graditi G., Ippolito M.G., Telaretti E., Zizzo G. (2016), Technical and economical assessment of distributed electrochemical storages for load shifting applications: An Italian case study, Renew. Sustain. Energy Rev., Vol. 57, pp. 515-523.
• Garcia-Gutierrez G., Martínez W., Pereira D., Carrera E.V., Guinjoan F., Pacheco D., et al. (2021), A Comparison of Fuzzy-Based Energy Management Systems Adjusted by Nature-Inspired Algorithms, Applied Sciences.
• Leonori S., Paschero M., Massimo F., Mascioli F., Rizzi A. (2020), Optimization strategies for microgrid energy management systems by genetic algorithms, Appl. Soft Comput. J., Vol. 86, pp. 105903. DOI: 10.1016/j.asoc.2019.105903.
• Li J., Zhang M., Yang Q., Zhang Z., Yuan W. (2016), SMES/battery hybrid energy storage system for electric buses, IEEE Trans. Appl. Supercond., No. 4, Vol. 26.
• Martínez J.J., Padilla-Medina J.A., Cano-Andrade S., Sancen A., Prado J., Barranco A.I. (2018), Development and application of a fuzzy control system for a lead-acid battery bank connected to a DC microgrid, Int. J. Photoenergy, No. 2487173, Vol. 2018.
• Meliani M., Barkany A.E., Abbassi I.E., Darcherif A.M., Mahmoudi M. (2021), Energy management in the smart grid: State-of-the-art and future trends, International Journal of Engineering Business Management, Vol. 13, 18479790211032920.
• Meliani M., El Barkany A., El Abbassi I., Darcherif A.M., Mahmoudi M. (2021), Smart grid implementation in Morocco: Case study, Materials Today: Proceedings.
• Migan G.-A. (2013), Study of the Operating Temperature of a PV Module, Lund University: Lund, Sweden.
• Moradi M.H., Eskandari M., Hosseinian S.M., (2015), Operational strategy optimization in an optimal sized smart micro-grid, IEEE Trans. Smart Grid, No. 3, Vol. 6, pp. 1087-1095.
• Natsheh E.M., Natsheh A.R., Albarbar A. (2013), Intelligent controller for managing power within standalone hybrid power systems, IET Sci., Meas. Technol., No. 4, Vol. 7, pp. 191-200. DOI: 10.1049/ietsmt.2013.0011.
• Reichmuth D., Goldman J. (2017), Accelerating US leadership in electric vehicles, Union Concerned Sci., Cambridge, MA, USA, Tech. Rep, [Online]. Available: https://www.ucsusa.org/EV-incentives.
• Solar Electric Supply, SOLAREX-PHOTOVOLTAIC SOLAR MODULES n.d., Available online: https: //www.solarelectricsupply.com/solar-panels/solarex (accessed on 9 May 2017).
• Vestas. Vestas|Wind It Means the World to Us n.d., Available online: https://www.vestas.com/ (accessed on9 May 2017).
• Viegas M.A.A., da Costa C.T. (2021), Fuzzy Logic Controllers for Charging/Discharging Management of Battery Electric Vehicles in a Smart Grid, Journal of Control, Automation and Electrical Systems, pp. 1-14.
• Zadeh L.A. (1965), Fuzzy sets, Information and Control, pp. 338-353.

Identyfikatory

DOI

10.24425/mper.2023.145371