LAPSE:2023.31212
Published Article
LAPSE:2023.31212
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, Sheraz Aslam
April 18, 2023
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
fuzzy control, Hydropower, three-pond model, water level regulation
Suggested Citation
Saeed A, Shahzad E, Khan AU, Waseem A, Iqbal M, Ullah K, Aslam S. Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant. (2023). LAPSE:2023.31212
Author Affiliations
Saeed A: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan [ORCID]
Shahzad E: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan [ORCID]
Khan AU: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan
Waseem A: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan
Iqbal M: Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan; Department of Automation and Mechanical Engineering, Tampere University, 33100 Tampere, Finland
Ullah K: US-Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Peshawar 25000, Pakistan [ORCID]
Aslam S: Department of Electrical Engineering, Computer Engineering and Informatics (EECEI), Cyprus University of Technology, Limassol 3036, Cyprus [ORCID]
Journal Name
Energies
Volume
16
Issue
6
First Page
2678
Year
2023
Publication Date
2023-03-13
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16062678, Publication Type: Journal Article
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LAPSE:2023.31212
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https://doi.org/10.3390/en16062678
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