A Real-Time Energy Management of a PV/Battery/Grid-Connected System Under Uncertainties
Keywords:
Microgrid, Energy Storage System, Solar Array, Linear Programming, Energy Management SystemSynopsis
This is a Chapter in:
Book:
Smart and Sustainable Applications
Print ISBN 978-1-6692-0006-2
Online ISBN 978-1-6692-0005-5
Series:
Chronicle of Computing
Chapter Abstract:
Building up grid-connected Hybrid Renewable Energy Systems (HRES) is one of the major challenges of developing countries. This relies on the feasibility study and moreover on the optimization of the system built. This paper aims to provide a good framework for Energy Management Systems (EMS) strategies. It consists of PV/Battery/loads connected to the power grid. Hence, the Hybrid Micro Grid System (HMGS) obtained is subject to meteorological uncertainties due to shadowing of the solar panels. Two approaches have been applied in this work: heuristic method using State Machine Logic (State Flow Method) and Linear Programming. These methods have been implemented using MATLAB R2018a. A thorough discussion describes the results of the simulations using both methods for two meteorological conditions: clear and cloudy periods. Four scenarios are presented in accordance to the specifications above-mentioned. A real-time analysis is performed for a specific case study on a daily basis.
Keywords:
Microgrid, Energy Storage System, Solar Array, Linear Programming, Energy Management System.
Cite this paper as:
Mbasso Fendzi W., Naoussi Dzonde S.R., Wira P., Molu R.J.J., Saatong K.T. (2024) A Real-Time Energy Management of a PV/Battery/Grid-Connected System Under Uncertainties. In: Tiako P.F. (ed) Smart and Sustainable Applications. Chronicle of Computing. OkIP. https://doi.org/10.55432/978-1-6692-0005-5_5
Presented at:
The 2023 OkIP International Conference on Advances in Power and Energy (CAPE) in Oklahoma City, Oklahoma, USA, and Online, on October 2-5, 2023
Contact:
Fendzi Mbasso Wulfran
fendzi.wulfran@yahoo.fr
References
Alvarez G., Moradi H., Smith, M., and Zilouchian, A. (2017). Modeling a Grid-Connected PV/Battery Microgrid System with MPPT Controller, 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 2941-2946.
Alzard, M.H.; Maraqa, M.A.; Chowdhury, R.; Khan, Q.; Albuquerque, F.D.B.; Mauga, T.I.; Aljunadi, K.N. (2019). Estimation of Greenhouse Gas Emissions Produced by Road Projects in Abu Dhabi, United Arab Emirates. Sustainability, 11, 2367.
Baghel, N.S.; Chander, N. (2022). Performance comparison of mono and polycrystalline silicon solar photovoltaic modules under tropical wet and dry climatic conditions in east-central India. Clean Energy, 6, 165–177.
Barakat, S., Ibrahim, H., Elbaset, A.A., (2020). Multi-objective optimization of grid-connected PV-wind hybrid system considering reliability, cost, and environmental aspects. Sustain. Cities Soc. 60, 102178.
Elsied M, Oukaour A, Youssef T, Gualous H, and Mohammed O. (2016). An advanced real time energy management system for microgrids. Energy, volume (114), 742-752.
Ghasemi A. (2018). Coordination of pumped-storage unit and irrigation system with intermittent wind generation for intelligent energy management of an agricultural microgrid, Energy, volume (142), 1-13.
Guasch, D.; Silvestre, S. (2003). Dynamic Battery Model for Photovoltaic Applications. Prog. Photovolt. Res. Appl., 11, 193–206.
Hermann DT, Donatien N, Armel TKF, René T. (2021). A Feasibility Study Of An On-Grid PV/Wind/Battery/Diesel For Residential Buildings Under Various Climates In Cameroon. Energy Technology;9(12):2100615.
Iten, M.; Liu, S.; Shukla, (2018). A. Experimental validation of an air-PCM storage unit comparing the effective heat capacity and enthalpy methods through CFD simulations. Energy, 155, 495–503.
Khan, A.A.; Minai, A.F.; Pachauri, R.K.; Malik, H. (2022) Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review. Energies, 15, 6249. https://doi.org/10.3390/en15176249.
Liu N, Yu X, Wang C, and Wang J. (2017). Energy sharing management for microgrids with PV prosumers: a stackelberg game approach, IEEE Transactions on Industrial Informatics, volume (13), 1088-1098.
Mohamed, M.A., Eltamaly, A.M., Alolah, A.I., Hatata, A.Y., (2019). A novel framework-based cuckoo search algorithm for sizing and optimization of grid-independent hybrid renewable energy systems. International Journal of Green Energy 16, 86–100. https://doi.org/10.1080/15435075.2018.1533837
Sukumar S., Mokhlis H., Mekhilef S., Naidu K., and Karimi M. (2017). Mix-mode energy management strategy and battery sizing for economic operation of grid-tied microgrid, Energy, volume (118), 1322-1333.
Tiwari N. and Srivastava L. (2016). Generation scheduling and micro-grid energy management using differential evolution algorithm, International conference on circuit, power and computing technologies (ICCPCT)
Yang, H.;Wei, Z.; Chengzhi, L. (2009). Optimal design and techno-economic analysis of a hybrid solar–wind power generation system. Appl. Energy, 86, 163–169.
