Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network

Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network

In developing countries, the power production is properly less than the request of power or load, and sustaining a system stability of power production is a trouble quietly. Sometimes, there is a necessary development to the correct quantity of load demand to retain a system of power production stea...

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Main Authors: Hammid, Ali Thaeer, M. H., Sulaiman, Abdalla, Ahmed N.
Format: Article
Language:English
Published: Elsevier Ltd 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/19521/
http://umpir.ump.edu.my/id/eprint/19521/
http://umpir.ump.edu.my/id/eprint/19521/
http://umpir.ump.edu.my/id/eprint/19521/1/Prediction%20of%20small%20hydropower%20plant%20power-fkee-2018.pdf
id ump-19521
recordtype eprints
spelling ump-195212018-08-16T06:40:39Z http://umpir.ump.edu.my/id/eprint/19521/ Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network Hammid, Ali Thaeer M. H., Sulaiman Abdalla, Ahmed N. TK Electrical engineering. Electronics Nuclear engineering In developing countries, the power production is properly less than the request of power or load, and sustaining a system stability of power production is a trouble quietly. Sometimes, there is a necessary development to the correct quantity of load demand to retain a system of power production steadily. Thus, Small Hydropower Plant (SHP) includes a Kaplan turbine was verified to explore its applicability. This paper concentrates on applying on Artificial Neural Networks (ANNs) by approaching of Feed-Forward, Back-Propagation to make performance predictions of the hydropower plant at the Himreen lake dam-Diyala in terms of net turbine head, flow rate of water and power production that data gathered during a research over a 10 year period. The model studies the uncertainties of inputs and output operation and there’s a designing to network structure and then trained by means of the entire of 3570 experimental and observed data. Furthermore, ANN offers an analyzing and diagnosing instrument effectively to model performance of the nonlinear plant. The study suggests that the ANN may predict the performance of the plant with a correlation coefficient (R) between the variables of predicted and observed output that would be higher than 0.96. Elsevier Ltd 2018 Article PeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/19521/1/Prediction%20of%20small%20hydropower%20plant%20power-fkee-2018.pdf Hammid, Ali Thaeer and M. H., Sulaiman and Abdalla, Ahmed N. (2018) Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network. Alexandria Engineering Journal, 57 (1). pp. 211-221. ISSN 1110-0168 https://doi.org/10.1016/j.aej.2016.12.011 doi: 10.1016/j.aej.2016.12.011
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Hammid, Ali Thaeer
M. H., Sulaiman
Abdalla, Ahmed N.
Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network
description In developing countries, the power production is properly less than the request of power or load, and sustaining a system stability of power production is a trouble quietly. Sometimes, there is a necessary development to the correct quantity of load demand to retain a system of power production steadily. Thus, Small Hydropower Plant (SHP) includes a Kaplan turbine was verified to explore its applicability. This paper concentrates on applying on Artificial Neural Networks (ANNs) by approaching of Feed-Forward, Back-Propagation to make performance predictions of the hydropower plant at the Himreen lake dam-Diyala in terms of net turbine head, flow rate of water and power production that data gathered during a research over a 10 year period. The model studies the uncertainties of inputs and output operation and there’s a designing to network structure and then trained by means of the entire of 3570 experimental and observed data. Furthermore, ANN offers an analyzing and diagnosing instrument effectively to model performance of the nonlinear plant. The study suggests that the ANN may predict the performance of the plant with a correlation coefficient (R) between the variables of predicted and observed output that would be higher than 0.96.
format Article
author Hammid, Ali Thaeer
M. H., Sulaiman
Abdalla, Ahmed N.
author_facet Hammid, Ali Thaeer
M. H., Sulaiman
Abdalla, Ahmed N.
author_sort Hammid, Ali Thaeer
title Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network
title_short Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network
title_full Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network
title_fullStr Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network
title_full_unstemmed Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network
title_sort prediction of small hydropower plant power production in himreen lake dam (hld) using artificial neural network
publisher Elsevier Ltd
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/19521/
http://umpir.ump.edu.my/id/eprint/19521/
http://umpir.ump.edu.my/id/eprint/19521/
http://umpir.ump.edu.my/id/eprint/19521/1/Prediction%20of%20small%20hydropower%20plant%20power-fkee-2018.pdf
first_indexed 2023-09-18T22:27:53Z
last_indexed 2023-09-18T22:27:53Z
_version_ 1777416089291980800

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