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Analysis of remote PV-diesel based hybrid minigrid for different load conditions

Shoeb, Md.A.ORCID: 0000-0002-6653-107X, Jamal, T., Shafiullah, GM.ORCID: 0000-0002-2211-184X and Rahman, M.M. (2016) Analysis of remote PV-diesel based hybrid minigrid for different load conditions. In: 2016 IEEE Innovative Smart Grid Technologies Asia (ISGT-Asia), 28 Nov.-1 Dec. 2016, Melbourne Convention and Exhibition Centre, Melbourne, VIC

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Lack of quality electricity supply in the remote areas is one of the main hindering factors of global development. Many countries around the world are trying to utilize renewable energy sources for remote electrification including developing countries like Bangladesh. After the renowned Solar Home System (SHS) program, Bangladesh is now focusing on solar PV-diesel hybrid minigrid system to reach more people by providing affordable electricity. Following the availability of electricity in the form of minigrid, a development in industries like sawmills, grinding mills, husking mills is predictable. Therefore, daytime loads might have significant contribution in energy consumption, unlike the usual residential scenario. With this, the irrigation demands are there during the dry season. This study analyzes the techno-economic feasibility of the solar PV-diesel hybrid system with different load conditions. A remote area of southern Bangladesh is taken as the case site. Three case studies are formulated based on the time of using irrigation pumps. HOMER Pro Microgrid Analysis Tool has been used to find the most optimized configuration for each case study. The optimized configurations from each case study are then evaluated based on the cost of electricity (COE), greenhouse gas emissions and renewable energy fraction. The generation profile of solar PV and diesel generators are analyzed for each case study. From the techno-economic evaluation, it is observed that the optimum time to run the irrigation pumps is during the daytime. In this case, the solar PV has the highest contribution to meet the energy demand with the slightly increased cost of electricity.

Item Type: Conference Paper
Murdoch Affiliation(s): School of Engineering and Information Technology
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