Microgrid Energy Distribution Sizing and Management considering PV/WT/BT Integration under Residential load

Moamer Musbah Mohamed Ahmed

doi:10.58916/jhas.v8i3.184

Authors

Moamer Musbah Mohamed Ahmed Dept. of Electrical and Electronics Eng., Faculty of Engineering, University of Bani waleed, Libya Author

DOI:

https://doi.org/10.58916/jhas.v8i3.184

Keywords:

MG, PV, WT, RB-EMS

Abstract

Abstract: This study presented Microgrid (MG) model considering Photovoltaic (PV), Battery (BT), and Wind Turbine (WT) connected through DC/AC inverter and controlled by Energy Management Strategy (EMS). Where the aforementioned components are playing a crucial role in the management and sizing of MG energy distribution. Whereas previous studies have introduced nature-inspired metaheuristic algorithms along with supervisory control algorithms. The sizing algorithm namely Particle Swarm Optimization (PSO) is utilized while the supervisory control is considering a Rule-Based Energy Management Strategy (RB-EMS). In the simulation result, the RES could run the system and overcome the challenges in the proposed system when the PV Produces (5kW) and WT is also estimated to produce 5kW. Furthermore, our results give insight into the effects of different strategies and microgrid configurations.

Downloads

Download data is not yet available.

References

A. A. Khan, A. F. Minai, R. K. Pachauri, and H. Malik, “Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review,” Energies, vol. 15, no. 17, p. 6249, Aug. 2022, doi: 10.3390/en15176249.

M. S. Javed et al., “Economic analysis and optimization of a renewable energy based power supply system with different energy storages for a remote island,” Renew. Energy, vol. 164, pp. 1376–1394, 2021, doi: 10.1016/j.renene.2020.10.063.

A. O. M. Maka, S. Salem, and M. Mehmood, “Solar photovoltaic (PV) applications in Libya: Challenges, potential, opportunities and future perspectives,” Clean. Eng. Technol., vol. 5, p. 100267, 2021, doi: 10.1016/j.clet.2021.100267.

B. K. Das and M. Hasan, “Optimal sizing of a stand-alone hybrid system for electric and thermal loads using excess energy and waste heat,” Energy, vol. 214, p. 119036, Jan. 2021, doi: 10.1016/j.energy.2020.119036.

M. M. Khaleel, A. A. Ahmed, and A. Alsharif, “Energy Management System Strategies in Microgrids: A Review,” North African J. Sci. Publ., vol. 1, no. 1, pp. 1–8, 2023.

F. A. Khan, N. Pal, and S. H. Saeed, “Optimization and sizing of SPV/Wind hybrid renewable energy system: A techno-economic and social perspective,” Energy, vol. 233, p. 121114, 2021, doi: 10.1016/j.energy.2021.121114.

A. Hirsch, Y. Parag, and J. Guerrero, “Microgrids: A review of technologies, key drivers, and outstanding issues,” Renew. Sustain. Energy Rev., vol. 90, no. September 2017, pp. 402–411, 2018, doi: 10.1016/j.rser.2018.03.040.

S. Singh, M. Singh, and S. C. Kaushik, “A review on optimization techniques for sizing of solar-wind hybrid energy systems,” Int. J. Green Energy, vol. 13, no. 15, pp. 1564–1578, Dec. 2016, doi: 10.1080/15435075.2016.1207079.

A. Alsharif et al., “Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm,” Energies, vol. 16, no. 3, p. 1358, Jan. 2023, doi: 10.3390/en16031358.

A. R. Battula, S. Vuddanti, and S. R. Salkuti, “Review of Energy Management System Approaches in Microgrids,” Energies, vol. 14, no. 17, p. 5459, Sep. 2021, doi: 10.3390/en14175459.

A. Alsharif, A. A. Ahmed, M. M. Khaleel, A. S. D. Alarga, O. S. M. Jomah, and A. B. E. Alrashed, “Stochastic Method and Sensitivity Analysis Assessments for Vehicle-to-Home Integration based on Renewable Energy Sources,” in 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), IEEE, May 2023, pp. 783–787. doi: 10.1109/MI-STA57575.2023.10169210.

O. Ellabban, H. Abu-Rub, and F. Blaabjerg, “Renewable energy resources: Current status, future prospects and their enabling technology,” Renew. Sustain. Energy Rev., vol. 39, pp. 748–764, 2014, doi: 10.1016/j.rser.2014.07.113.

W. Ma, X. Xue, and G. Liu, “Techno-economic evaluation for hybrid renewable energy system: Application and merits,” Energy, vol. 159, pp. 385–409, 2018, doi: 10.1016/j.energy.2018.06.101.

M. E. T. Souza Junior and L. C. G. Freitas, “Power Electronics for Modern Sustainable Power Systems: Distributed Generation, Microgrids and Smart Grids—A Review,” Sustainability, vol. 14, no. 6, p. 3597, Mar. 2022, doi: 10.3390/su14063597.

NREL, “PVWatts®,” 2020. https://pvwatts.nrel.gov/pvwatts.php (accessed Oct. 19, 2020).

M. Khaleel, A. A. Ahmed, and A. Alsharif, “Artificial Intelligence in Engineering,” Brill. Res. Artif. Intell., vol. 3, no. 1, pp. 32–42, Mar. 2023, doi: 10.47709/brilliance.v3i1.2170.

F. Marini and B. Walczak, “Particle swarm optimization (PSO). A tutorial,” Chemom. Intell. Lab. Syst., vol. 149, pp. 153–165, Dec. 2015, doi: 10.1016/j.chemolab.2015.08.020.

A. Alsharif, C. W. Tan, R. Ayop, K. Y. Lau, and A. M. Dobi, “A rule-based power management strategy for Vehicle-to-Grid system using antlion sizing optimization,” J. Energy Storage, vol. 41, no. July, p. 102913, Sep. 2021, doi: 10.1016/j.est.2021.102913.

Y. E. García Vera, R. Dufo-López, and J. L. Bernal-Agustín, “Energy Management in Microgrids with Renewable Energy Sources: A Literature Review,” Appl. Sci., vol. 9, no. 18, p. 3854, Sep. 2019, doi: 10.3390/app9183854.

A. Alsharif, C. W. Tan, R. Ayop, A. Dobi, and K. Y. Lau, “A comprehensive review of energy management strategy in Vehicle-to-Grid technology integrated with renewable energy sources,” Sustain. Energy Technol. Assessments, vol. 47, no. xxxx, p. 101439, Oct. 2021, doi: 10.1016/j.seta.2021.101439.