Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant
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 mod...
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MDPI AG
2023-03-01
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author | Ahmad Saeed Ebrahim Shahzad Adnan Umar Khan Athar Waseem Muhammad Iqbal Kaleem Ullah Sheraz Aslam |
author_facet | Ahmad Saeed Ebrahim Shahzad Adnan Umar Khan Athar Waseem Muhammad Iqbal Kaleem Ullah Sheraz Aslam |
author_sort | Ahmad Saeed |
collection | DOAJ |
description | 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. |
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issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T06:36:33Z |
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spelling | doaj.art-22a2e36f05074b65bbc9af6e129c6ac32023-11-17T10:49:27ZengMDPI AGEnergies1996-10732023-03-01166267810.3390/en16062678Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower PlantAhmad Saeed0Ebrahim Shahzad1Adnan Umar Khan2Athar Waseem3Muhammad Iqbal4Kaleem Ullah5Sheraz Aslam6Department of Electrical Engineering, International Islamic University, Islamabad 44000, PakistanDepartment of Electrical Engineering, International Islamic University, Islamabad 44000, PakistanDepartment of Electrical Engineering, International Islamic University, Islamabad 44000, PakistanDepartment of Electrical Engineering, International Islamic University, Islamabad 44000, PakistanDepartment of Electrical Engineering, International Islamic University, Islamabad 44000, PakistanUS-Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Peshawar 25000, PakistanDepartment of Electrical Engineering, Computer Engineering and Informatics (EECEI), Cyprus University of Technology, Limassol 3036, CyprusPower 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.https://www.mdpi.com/1996-1073/16/6/2678Hydropowerthree-pond modelfuzzy controlwater level regulation |
spellingShingle | Ahmad Saeed Ebrahim Shahzad Adnan Umar Khan Athar Waseem Muhammad Iqbal Kaleem Ullah Sheraz Aslam Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant Energies Hydropower three-pond model fuzzy control water level regulation |
title | Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant |
title_full | Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant |
title_fullStr | Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant |
title_full_unstemmed | Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant |
title_short | Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant |
title_sort | three pond model with fuzzy inference system based water level regulation scheme for run of river hydropower plant |
topic | Hydropower three-pond model fuzzy control water level regulation |
url | https://www.mdpi.com/1996-1073/16/6/2678 |
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