International Journal of Engineering and Modern Technology (IJEMT )
E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 10 NO. 9 2024
DOI: 10.56201/ijemt.v10.no9.2024.pg94.106
Enyioma C. Ibekwe, Hachimenum N. Amadi, Dan J. Horsfall
The study looks at enhancing the efficiency of power supply via solar-pumped hydro storage system. Renewable energy means are ecologically friendly but frequently experience intermittent power generation, making it difficult in ensuring a continuous supply of electricity to end consumers. As a result of the variable nature of power generated by the primary photovoltaic (PV) source, especially at night and during bad weather conditions, a means of storing the energy is crucial in the form of pumped hydroelectricity. Pumped hydro storage systems are crucial for future energy systems due to their smooth mix with renewable energy sources and their capacity to providing many advantages for instance, voltage support, load shifting, grid stability, and system resiliency. Despite these merits, the administration of power continues to be somewhat difficult encountered by renewable power producers. To address this difficulties, sophisticated control and optimization techniques are utilized, together with energy management systems, to ensure optimal performance. This work utilized an intelligent valve system that uses a fuzzy logic algorithm to monitor changes in solar irradiance and reservoir water levels. The system effectively controls a centrifugal pump to provide a continuous supply of water and maintain consistency with the load demand. The hybrid system is designed in the MATLAB/Simulink software utilizing several subsystem models, including a solar array DC-DC boost converter, an induction motor, and a centrifugal pump. The system dynamic model is constructed using the system's dimensions. The result gotten demonstrates that the fuzzy logic controller effectively monitored the changes in irradiance and water level. It is able to activate the control valve to alter the flow direction. Additionally, the local controller successfully extracted maximum power from the PV panels, achieving a tracking efficiency of over 99.5% this, boos
Fuzzy logic controller, Matlab/Simulink, Optimal performance, Solar pumped hydro
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