Development of economic processes utilizing solar energy
DOI:
https://doi.org/10.58423/2786-6742/2022-2-32-41Keywords:
Solar energy, Micro-grid, Capacity, Reliability indices, Loss of load, RiskAbstract
The concern of the electric utility companies to prioritize tight control on system performance is addressed in the paper as it immensely helps planning maintenance expenditure economically with customers’ expectations fully met. . The paper aims at making a comparative study of performance of the micro-grid power system with that of the interconnected micro-grid and national grid. A micro-grid that utilizes solar energy in sparse locations in hilly terrain for ensuring reliable electric supply to industrial houses engaged in product manufacturing processes has been considered. These manufacturing processes as a part of small and medium industries introduce goods and services necessary for securing economic growth and development in the country side where grid power supply is subject to frequent weather disturbances, and hence, very costly from the perspective of sustenance as well as maintenance. The solar energy trend has given scope for self-reliance and better livelihood of people who live away from cities but the products what they manufacture may be sent for consumption in the nearby cities. Thus, more and more dependence on the solar energy leads to nation’s economic growth policy. Moreover, it adds to uninterrupted and quality electric supply using clean energy in place of fossil fuels-based generation of electricity to protect environment; allows reducing health hazards and mitigating greenhouse gas emissions. Using reliability techniques, solar energy plant performance is quantitatively judged and compared with respect to the performance of the national grid supplying power supply to the remotely located population. The improved energy security, easy access and operational responses of the solar plant as a substitute to the grid power supply help develop economic growth of a nation.
References
Bae, J. Kim. (2008). Reliability Evaluation of Customers in a Microgrid. IEEE Trans. Power Systems, Vol. 23, No. 3, Aug. 2008, pp 1416-1422. DOI: https://doi.org/10.1109/TPWRS.2008.926710
Billinton, R. and Allan, R. N. (1996). Reliability Evaluation of Power Systems. NY: Plenum Press. DOI: https://doi.org/10.1007/978-1-4899-1860-4
Billinton, R., Wojczynski, E. and Godfrey, M. (1981). Practical Calculations of Distribution System Reliability Indices and Their Probability Distributions. CEA Trans., Vol. 20, Part I, Paper No. 81-D-41.
Gupta, Subodh K. and Kumar, K. (2021). Reliability Modeling and Performance Analysis of Micro-grids Power System. IJARESM, Vol. 9, No. 3, March 2021, pp 510-516.
Gupta, Subodh K. and Kumar, K. (2021). Testing Reliability of Micro-grid Power System – A Simple Approach. IRJMETS, Vol 3, No. 3, March 2021, pp 349-356.
Gupta, Subodh K. (2020). Reliability Evaluation of Micro-grids Power System with Distributed Generation & Energy Storage (Ph.D. Thesis), Vinayaka Missions Sikkim University, Tadong, Gangtok, Sikkim, Oct. 2020.
International Renewable Energy Agency: Measuring the Economics. (2016). IRENA Report.
Kumar, K. (2022). Power System Reliability and Risk Assessment. Book, In Press, August 2022.
Llria, O. Curea, Jumenez, J. and Camblong, H. (2011). Survey on Microgrids: Unplanned Islanding and Related Inverter Control Techniques. Int. J. Renewable Energy, Vol. 36, 2011, pp 2052-2061. DOI: https://doi.org/10.1016/j.renene.2011.01.010
OECD (Organization for Economic Co-operation and Development) Outlook (2011). Building Resilient Regions for Stronger Economies. OECD Report.
Rafindadi, A. A. and Ozturk, I. (2017). Impacts of Renewable Energy Consumption on the German Economic Growth: Evidence from Combined Cointegration Test, Renewable and Sustainable Energy Reviews, Vol. 75, Issue C, 2017, pp 1130-1141. DOI: https://doi.org/10.1016/j.rser.2016.11.093
Sarkar, S., Kumar, K. and Bhaduri, B. N. (1991). An Overview of Surface Mine Electrical System, J. Mines, Metals and Fuels, Vol. 29, No. 4, April 1991, pp 100-106.
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