Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant

Ahmad Saeed, Ebrahim Shahzad, Adnan Umar Khan, Athar Waseem, Muhammad Iqbal, Kaleem Ullah and Sheraz Aslam ()
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Ahmad Saeed: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan
Ebrahim Shahzad: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan
Adnan Umar Khan: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan
Athar Waseem: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan
Muhammad Iqbal: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan
Kaleem Ullah: US-Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Peshawar 25000, Pakistan
Sheraz Aslam: Department of Electrical Engineering, Computer Engineering and Informatics (EECEI), Cyprus University of Technology, Limassol 3036, Cyprus

Energies, 2023, vol. 16, issue 6, 1-29

Abstract: Power generation from river hydropower plants depends mainly on river flow. Water fluctuations in the river make the yield process unpredictable. To reduce these fluctuations, building a small reservoir at the river flow of the hydropower plant is recommended. Conventionally, classic single-pond models are commonly used to design run-of-river hydropower plants. However, such models are associated with fluctuations, sagging, and irregular power fluctuations that lead to irregular water fluctuations. This research proposes a novel idea to replace the single-pond model with a three-pond model to increase the plant’s overall efficiency. The three-pond model is developed as a three-tank nonlinear hydraulic system that contains the same amount of water as a conventional single pond. It also has the advantage of minimizing the run-of-river power plant’s dependence on river flow and increasing efficiency by trapping swell and turbulence in the water. To further increase the efficiency, the developed model was tested for smooth and effective level control using fuzzy control.

Keywords: Hydropower; three-pond model; fuzzy control; water level regulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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