A Solar Energy Control System for On-Grid Energy Storage Device
Renewable energy sources could be harnessed to provide intermittent power and their integration into the grid has improved power availability. Nonetheless, ensuring the stability of the output of such a system has been a major concern. The inability to control the output of renewable resources such as solar results in operational challenges in power systems. To compensate for the fluctuating and unpredictable features of solar photovoltaic power generation, electrical energy storage systems have been introduced that may be integrated into the grid. In this paper, a solar photovoltaic model for an on-grid energy storage device was developed using MATLAB/Simulink, and the model was optimized using a fuzzy logic algorithm. The overall simulation results show that the output of the PV model can be controlled using a fuzzy-based optimization algorithm. The result of the fuzzy logic controller gave a better performance with good voltage stability. Also, the fuzzy-based optimization helps boost the voltage profile of the system.
Liu J, Chen X, Cao S, Yang H. Overview on hybrid solar photovoltaic-electrical energy storage technologies for power supply to buildings. Energy conversion and management, 2019;187:103-121.
Balali MH, Nouri N, Omrani E, Nasiri A, Otieno W. An overview of the environmental, economic, and material developments of the solar and wind sources coupled with the energy storage systems. International Journal of Energy Research, 2017;41:1948-1962.
Hosenuzzaman M, Rahim NA, Selvaraj J, Hasanuzzaman M, Malek AA, Nahar A. Global prospects, progress, policies, and environmental impact of solar photovoltaic power generation. Renewable and Sustainable Energy Reviews, 2015;41: 284-297.
Rabaia MKH, Abdelkareem MA, Sayed ET, Elsaid K, Chae KJ, Wilberforce T, Olabi AG. Environmental impacts of solar energy systems: A review. Science of The Total Environment, 2021;754: 141989.
CleanTechnica, 2014. World solar power capacity increase 35% in 2013. Online: Available at https://cleantecnica.com/2014/04/13/world-solar-power-capacity-increased-35-2013-charts/ [Accessed: 15/12/2021].
HIS Markit, 2021. Global solar PV installations to grow 20% in 2022, despite rising cost. Online: Available at https:cleanenergynews.ihsmarkit.com/research-analysis/global-solar-pv-installations-to-grow-20-in-2022-despite-risin.html#:~:text=Global%20solar%20Pv%20instalations%20will,will%20be%20least%20%24170%20billion [Accessed: 15/12/2021].
Nguyen N. Solar tracking system, B.Eng. Thesis, Department of Electronics Engineering, Helsinko Metropolia University of Applied Sciences, Finland, 2016.
Arsalan S. Sun tracking system with microcontroller 8051. International Journal of Scientific and Engineering Research, 2013;4: 2998-3001.
Anuraj A, Gandhi R. Solar tracking system using stepper motor, International Journal of Electrical Engineering and Technology, 2014;7: 561-566.
Abu-Khader MM, Badran OO, Abdallah S. Evaluating multi-axes sun-tracking system at different modes of operation in Jordan. Renewable and Sustainable Energy Reviews, 2008;12:864-873.
Sefa I, Demirtas M, Çolak I. Application of one-axis sun tracking system. Energy conversion and Management, 2009;50:2709-2718.
Arif EMH, Hossen J, Murthy GR, Mzh J, Raja J.E. An efficient microcontroller based sun tracker control for solar cell system. International Journal of Electrical & Computer Engineering, 2019;9: 2088-8708.
Yilmaz S, Ozcalik HR, Dogmus O, Dincer F, Akgol O. Karaaslan M. Design of two axes sun tracking controller with analytically solar radiation calculations. Renewable and Sustainable Energy Reviews, 2015;43: 997-1005.
Huang BJ, Huang YC, Chen GY, Hsu PC, Li K. Improving solar PV system efficiency using one-axis 3-position sun tracking. Energy Procedia, 2013;33: 280-287.
Awasthi A, Shukla AK, SR MM, Dondariya C, Shukla KN, Porwal D, Richhariya G. Review on sun tracking technology in solar PV system. Energy Reports, 2020;6: 392-405.
Seme S, Štumberger B, Hadžiselimovi? M. A novel prediction algorithm for solar angles using second derivative of the energy for photovoltaic sun tracking purposes. Solar Energy, 2016;137:201-211.
Puranen P, Kosonen A, Ahola J. Technical feasibility evaluation of a solar PV based off-grid domestic energy system with battery and hydrogen energy storage in northern climates, Solar Energy, 2021;213:246-259.
Dawood F, Shafiullah GM, Anda, M. Stand-alone microgrid with 100% renewable energy: A case study with hybrid solar PV-battery-hydrogen. Sustainability, 2020;12:2047.
Ahmad NI, Ali Z, Osman M, Zaini NH, Roslan MH. Impacts of lightning-induced overvoltage on a hybrid solar PV–battery energy storage system. Applied Sciences, 2021;11:3633.
Sun Y, Zhao Z, Yang M, Jia D, Pei W, Xu B. Overview of energy storage in renewable energy power fluctuation mitigation. CSEE Journal of Power and Energy Systems, 2019;6:160-173.
Nahar NS. Department of Astronomy The Ohio State University Columbus, Ohio USA. International Symposium on Climate Change and Food Security of South Asia 2008, Dhaka, Bangladesh: 24-29.
Prinsloo G, Dohson R. Sun tracking and solar renewable energy harvesting: Solar energy harvesting, trough, pinpointing and helostat solar collecting system. Solar Books, Stellenbosch, South Africa, 2015.
Jinghua Z. PID controller tuning: A short tutorial. Mechanical Engineering Department, Purdue University, Indiana, USA, 2006.
Sangram K, Mehetab A. Study of the design and tuning methods of PID controller based on fuzzy logic and genetic algorithm. National Institute of Technology, Rourkela, 2011.
This work is licensed under a Creative Commons Attribution 4.0 International License.