International Journal of Hydropower and Civil Engineering

P-ISSN: 2707-8302, E-ISSN: 2707-8310
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2023, Vol. 4, Issue 1, Part A

An ensemble Kalman Filter method for adaptive operation of hydro-wind-solar hybrid power systems in India


Author(s): R Venkatesh

Abstract: The increasing integration of renewable energy sources, such as wind and solar, into the power grid necessitates advanced control and optimization techniques to manage their intermittent nature. This research paper proposes the utilization of an Ensemble Kalman Filter (EnKF) method for the adaptive operation of hybrid power systems consisting of hydro, wind, and solar sources in the context of India's diverse and dynamic energy landscape. The EnKF algorithm, renowned for its capability in estimating and forecasting system states, is employed to optimize the operation of these hybrid systems by dynamically adjusting power generation based on real-time measurements and predictions.

DOI: 10.22271/27078302.2023.v4.i1a.15

Pages: 05-06 | Views: 102 | Downloads: 28

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How to cite this article:
R Venkatesh. An ensemble Kalman Filter method for adaptive operation of hydro-wind-solar hybrid power systems in India. Int J Hydropower Civ Eng 2023;4(1):05-06. DOI: 10.22271/27078302.2023.v4.i1a.15
International Journal of Hydropower and Civil Engineering

International Journal of Hydropower and Civil Engineering

International Journal of Hydropower and Civil Engineering
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