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Optimal Planning of Green Hybrid Microgrid in Power Industry

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Machine Learning, Advances in Computing, Renewable Energy and Communication

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 768))

Abstract

In supply-side planning for microgrids, renewable energy sources will be recognized gradually as major options. This research paper proposed a green microgrid system consisting of a solar photovoltaic, hydro turbine, battery, diesel generator (DG) and converter. Four different cases are studied in a simulation environment, to compare and evaluate the most feasible solution based on the cost parameters of the system. The analysis was also carried out to find out the electrical power production and environmental pollutants of different components for the typical Iraqi rural village, i.e., Sakran in district Choman.

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Correspondence to Sumit Sharma .

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Sharma, N.K., Sharma, S., Sood, Y.R., Maheshwari, A., Banshwar, A. (2022). Optimal Planning of Green Hybrid Microgrid in Power Industry. In: Tomar, A., Malik, H., Kumar, P., Iqbal, A. (eds) Machine Learning, Advances in Computing, Renewable Energy and Communication. Lecture Notes in Electrical Engineering, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-16-2354-7_18

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  • DOI: https://doi.org/10.1007/978-981-16-2354-7_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2353-0

  • Online ISBN: 978-981-16-2354-7

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