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...

Full description

Bibliographic Details
Main Authors: Ahmad Saeed, Ebrahim Shahzad, Adnan Umar Khan, Athar Waseem, Muhammad Iqbal, Kaleem Ullah, Sheraz Aslam
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/6/2678
_version_ 1797612093453631488
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.
first_indexed 2024-03-11T06:36:33Z
format Article
id doaj.art-22a2e36f05074b65bbc9af6e129c6ac3
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-03-11T06:36:33Z
publishDate 2023-03-01
publisher MDPI AG
record_format Article
series Energies
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
work_keys_str_mv AT ahmadsaeed threepondmodelwithfuzzyinferencesystembasedwaterlevelregulationschemeforrunofriverhydropowerplant
AT ebrahimshahzad threepondmodelwithfuzzyinferencesystembasedwaterlevelregulationschemeforrunofriverhydropowerplant
AT adnanumarkhan threepondmodelwithfuzzyinferencesystembasedwaterlevelregulationschemeforrunofriverhydropowerplant
AT atharwaseem threepondmodelwithfuzzyinferencesystembasedwaterlevelregulationschemeforrunofriverhydropowerplant
AT muhammadiqbal threepondmodelwithfuzzyinferencesystembasedwaterlevelregulationschemeforrunofriverhydropowerplant
AT kaleemullah threepondmodelwithfuzzyinferencesystembasedwaterlevelregulationschemeforrunofriverhydropowerplant
AT sherazaslam threepondmodelwithfuzzyinferencesystembasedwaterlevelregulationschemeforrunofriverhydropowerplant