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

doi: 10.3390/en16062678
handle: 20.500.14279/30791
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.
- Tampere University Finland
- University of Engineering and Technology Peshawar Pakistan
- International Islamic University Pakistan
- International Islamic University Pakistan
- University of Engineering and Technology Peshawar Pakistan
Technology, 550, electronics, 213 Electronic, automation and communications engineering, electronics, T, 500, fuzzy control, 222 Other engineering and technologies, Electrical Engineering - Electronic Engineering - Information Engineering, three-pond model, 222, Hydropower; three-pond model; fuzzy control; water level regulation, 213, 620, automation and communications engineering, Engineering and Technology, 213 Electronic, water level regulation, Hydropower
Technology, 550, electronics, 213 Electronic, automation and communications engineering, electronics, T, 500, fuzzy control, 222 Other engineering and technologies, Electrical Engineering - Electronic Engineering - Information Engineering, three-pond model, 222, Hydropower; three-pond model; fuzzy control; water level regulation, 213, 620, automation and communications engineering, Engineering and Technology, 213 Electronic, water level regulation, Hydropower
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