Abstract
Financial specialists have begun moving toward inexhaustible wellsprings of vitality so as to fulfill the developing need for electrical force. The gathering of solar, wind vitality, and utilization of biomass for age of power diminishes our conditions on quick exhausting non-renewable energy sources. Biomass which is not just a reasonable vitality source, however, can likewise give natural manure. Biomass-based power age and dissemination framework is gradually picking up significance in creating nations like India because of the high accessibility of rural waste. The framework considered for this examination is a 6 MW biomass power plant on which the heap stream investigation was performed by utilizing the ETAP programming and applying Newton–Raphson technique for emphasis. The rundown of burden stream examination is assisted with deciding the estimations of voltages and force at various transports of the framework and recognizing their stacking condition.
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References
Abdulkareem, A., Awosope, C.O.A., Orovwode, H.E., Adelakun, A.A.: Power flow analysis of Abule-Egba 33 kV distribution grid system with real network simulations. IOSR J. Electr. Electron. Eng. 6(2), 67–80 (2014)
Dubey, A.: Load flow analysis of power systems. Int. J. Sci. Eng. Res. 7(5), 79–84 (2016)
ETAP Technical Manual.
Gojiya, A., Deb, D.: On feasibility of biomass power plant with agricultural waste processing. In: IEEE (2017)
Hemanth Kumar, M.H., Vijayshree, G., Prakash, R., Shivsharannappa, G.C.: Load flow analysis of distribution generation system using Ieee 30 bus system. IJEEE 4 (2016)
Ikule, F.T., Ame-Oko, A., Idoko, E.: Load flow analysis using Newton Raphson method—a case study of South-West Nigeria 330 KV network. IJARIIE 5 (2019).
Jorgenson, J., Gilman, P., Dobos, A.: Technical Manual for the SAM Biomass Power Generation Model. National Renewable Energy Laboratory, Colorado (2011)
Kusekwa, M.A.: Load flow solution of the Tanzanian power network using Newton-Raphson method and MATLAB software. Int. J. Energy Power Eng. 3(6), 277–286 (2014).
Mahdad, B., Srairi, K., Bouktir, T.: Optimal power flow for large-scale power system with shunt FACTS using efficient parallel GA. Int. J. Electr. Power Energy Syst. 32(5), 507–517 (2008)
Mander, D.K., Virdi, G.S.: Result analysis on load flow by using Newton Raphson method. Int. J. Adv. Res. Electr. Electron. Instru. Eng. 6(7), 5835–5844 (2017)
Pardeshi, D., Deshpande, A.: Possible modeling of small biomass power plant (June 26, 2020) available at SSRN: https://ssrn.com/abstract=3683050
Salgar, S.A., Mallareddy, C.H.: Load flow analysis for a 220 kV line-case study. Int. J. Eng. Res. Technol. 2(5), 1–12 (2015)
Suhas Shirbavikar, S., Ashok, M., Babu Narayanan, M.: Dynamic analysis of renewable energy systems and their impact on smart grid. In: 16th National Power Systems Conference (2010)
Suresh, V., Sreejith, S.: Power flow analysis incorporating renewable energy sources and FACTS devices. Int. J. Renew. Energy Res. 7(1) (2017)
Venkateswara Rao, B., Nagesh Kumar, G.V.: Optimal power flow by BAT search algorithm for generation reallocation with unified power flow controller. Int. J. Electr. Power Energy Syst. 68, 81–88 (2015)
Youcef, A., Mohamed, B., Amine, L.A., Elmaouhab, A.: Optimal VAR control for real power loss minimization using differential evolution algorithm. Electr. Power Energy Syst. 66, 262–271 (2015)
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Pardeshi, D.B., Deshpande, A., Chaudhari, S.V. (2022). Load Flow Analysis of 6 MW Biomass Power Plant. In: Joshi, A., Mahmud, M., Ragel, R.G., Thakur, N.V. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2020). Lecture Notes in Networks and Systems, vol 191. Springer, Singapore. https://doi.org/10.1007/978-981-16-0739-4_20
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DOI: https://doi.org/10.1007/978-981-16-0739-4_20
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