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Syed, M.S., Suresh, C.V., Sivanagaraju, S.. (1403). Impact of Renewable Sources on Electrical Power System. سامانه مدیریت نشریات علمی, 12(3), 261-268. doi: 10.22098/joape.2023.10269.1730
M.S. Syed; C.V. Suresh; S. Sivanagaraju. "Impact of Renewable Sources on Electrical Power System". سامانه مدیریت نشریات علمی, 12, 3, 1403, 261-268. doi: 10.22098/joape.2023.10269.1730
Syed, M.S., Suresh, C.V., Sivanagaraju, S.. (1403). 'Impact of Renewable Sources on Electrical Power System', سامانه مدیریت نشریات علمی, 12(3), pp. 261-268. doi: 10.22098/joape.2023.10269.1730
Syed, M.S., Suresh, C.V., Sivanagaraju, S.. Impact of Renewable Sources on Electrical Power System. سامانه مدیریت نشریات علمی, 1403; 12(3): 261-268. doi: 10.22098/joape.2023.10269.1730

Impact of Renewable Sources on Electrical Power System

Journal of Operation and Automation in Power Engineering
مقاله 8، دوره 12، شماره 3، آبان 2024، صفحه 261-268    اصل مقاله (703.95 K)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.10269.1730
نویسندگان
M.S. Syed* 1؛ C.V. Suresh2؛ S. Sivanagaraju3
1Department of EEE, VLITS, Vadlamudi, Guntur. Dt, AP 522213, India
2Department of EEE, VVIT, Nambur, Guntur. Dt, AP 522508, India
3EEE Department, UCEK, JNTUK, Kakinada, E.G.Dt, AP 533003, India
چکیده
In this paper, Renewable energy sources (RES) are incorporated into the electricity grid. A real-time Andhra Pradesh 14 bus system is considered in which, windy and sunny locations are identified for this study. A new algorithm called Persistence - Extreme Learning Machine (P-ELM) is suggested. The suggested methodology is used to predict wind speed and solar insolation in the selected regions across the short-term and long-term time period horizons. The load flow problem is handled in 12 distinct by penetrating the wind and solar power into the system. The research findings are examined in terms of voltage variation and active power loss. The results obtained observed as, with wind and solar integration, the voltage variation is higher in both the short and long-term time frames, but the active power losses are lower than in the other cases.
کلیدواژه‌ها
Forecasting؛ Persistent-extreme learning machine algorithm؛ Power flow solution؛ Renewable energy sources؛ Renewable penetration
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