DESIGN OF ANNBASEDMPPTFORPVCHARGECONTROLLERWITHZETA CONVERTER

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dc.contributor.author ZERIHUN ZEGEYE
dc.date.accessioned 2025-04-03T11:45:22Z
dc.date.available 2025-04-03T11:45:22Z
dc.date.issued 2024-07
dc.identifier.uri http://hdl.handle.net/123456789/2346
dc.description.abstract A solar photovoltaic (PV) system is currently gaining prominence as a cost-effective renewable energy source, making a significant contribution to the energy sector. Its environmentally friendly nature further enhances its appeal. The main challenge of the PV system is it depends upon the solar irradiation and any changes in the incoming solar irradiation will affect badly on the output of the PV system. However, the ongoing effort to improve rural electrification by enhancing the performance of solar systems continues in order to effectively utilize the better maximum power point tracking (MPPT) controller. The Zeta converter, due to its low 1 input and output current ripple, low electromagnetic interference (EMI), better reliability, input-output isolation ability and better variety adaptability in a of applications, is used for this study. This work consists modeling of solar panels, charge controllers, battery system, 5 and Artificial Neural Network (ANN) based MPPT controller. The proposed approach was considered to design the PV based power generation system for Arba Minch Zuria woreda Zigit-Bakole health center and Zigit Merche school, Gamo Zone, Ethiopia. The irradiation of the sun is subjected to vary as time progress in a day and the required irradiance data was collected for the proposed site. As the collected data, reveals the proposed site has peak 6-8 hours sunshine with the maximum demand of about 1197W and 1352W for both sites respectively. Lead acid battery is considered to supply the load during night time. The ANN-based MPPT algorithm is designed to change the duty cylce of the converter to maximize PV output. The PI controller based inverter is modeled for supplying the AC loads in both sites. results of the 5 The proposed work have been compared with and without ANN and Pertrub and observe (P&O) based MPPT controller for Zeta converter. The better performance ANN based MPPT 1 implementation. of the Zeta converter is suggested for prototype development and en_US
dc.language.iso en en_US
dc.subject Artificial neural network, Inverter, Lead Acid Battery, MPPT controller, PI controller Rural Electrification, Solar PV, Zeta Converter en_US
dc.title DESIGN OF ANNBASEDMPPTFORPVCHARGECONTROLLERWITHZETA CONVERTER en_US
dc.type Thesis en_US


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