Journal
IEEE ACCESS
Volume 11, Issue -, Pages 93815-93827Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3304546
Keywords
Microgrids; Optimization; Renewable energy sources; Planning; Costs; Software tools; Investment; Energy management; Python; Django web development framework; economic toolkit; energy access; microgrid planning; model-view-controller; prefeasibility analysis; renewable energy; python programming; rural electrification; software app
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Rural areas are heavily relying on fossil fuels due to electricity shortages, leading to ecological harm. Microgrids are proposed as a solution, and a web-based system for microgrid planning is developed to analyze optimal configurations accurately. The software tool is validated to ensure data accuracy and expected results.
Rural areas in various locations are facing electricity shortages and are compelled to heavily rely on non-renewable and ecologically harmful fossil fuels as their primary source of energy. To address this issue, microgrids were proposed as a solution to provide energy to these areas. An IEEE working group, the SESDC Working Group, was established to investigate the feasibility of implementing isolated microgrids as solutions in these communities. However, it has been identified that a proper software tool for microgrid planning is needed to accurately analyze the optimal microgrid configuration. Thus, a user-friendly and secure web-based system for microgrid planning was proposed. This tool was developed using the Django web development framework and Python programming language. It was then validated with users to ensure that the data entered is calculated correctly and produced the expected results.
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