Cascade hydroelectric scheme: River flow estimation for reservoir regulation improvement and flood-risk mitigation

Razali Jidin, Abdul Bahari Othman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to present and imminent extreme weather patterns, regulation of hydroelectric reservoirs and flood risk management requires better measurement of river flows. To improve reservoir regulation at our hydroelectric scheme in northern part of Malaysia, a budget river flow measurement system have been installed to estimate flows of rivers that fed four of our hydroelectric reservoirs. The main goal of this measurement system is to estimate water flows into four cascade hydroelectric reservoirs using fore-bay and tail race water levels alone as sensors. With limited number of level sensors installed, mathematical computations have been used to estimate incoming cascade flows. The computation is based on mass balance that volumes of incoming flows should be equal to water stored in the reservoirs over a period plus volumes of water discharge from these hydroelectric plants. The volumes are obtained by integration of flows over selected intervals. However, computation of water volume stored in reservoirs can yield a temporary drift result due to resolution error associated with fore-bay water level measurement that has smallest measured change of 0.01m. These volume computations can causes significant errors as the level variations will be amplified by large surface areas of the reservoirs. Although this measurement system has been able to perform as anticipated, further refinements are needed including to estimate water flow travel times between different reservoir systems. Also, as the lowest level of cascaded hydroelectric stations has limited capacity (due to historical background and construction cost) that spillage is often occur, this proposed system can be used in the future to improve its energy output, in addition to reduce risks of flooding downstream.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages315-319
Number of pages5
ISBN (Electronic)9781479982523
DOIs
Publication statusPublished - 31 May 2016
Event5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015 - Batu Ferringhi, Penang, Malaysia
Duration: 27 Nov 201529 Nov 2015

Publication series

NameProceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015

Other

Other5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015
CountryMalaysia
CityBatu Ferringhi, Penang
Period27/11/1529/11/15

Fingerprint

Rivers
Water
Water levels
Level measurement
Sensors
Travel time
Flow measurement
Risk management
Costs

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Jidin, R., & Othman, A. B. (2016). Cascade hydroelectric scheme: River flow estimation for reservoir regulation improvement and flood-risk mitigation. In Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015 (pp. 315-319). [7482204] (Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSCE.2015.7482204
Jidin, Razali ; Othman, Abdul Bahari. / Cascade hydroelectric scheme : River flow estimation for reservoir regulation improvement and flood-risk mitigation. Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 315-319 (Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015).
@inproceedings{80eec50532524da680395aa2147228e2,
title = "Cascade hydroelectric scheme: River flow estimation for reservoir regulation improvement and flood-risk mitigation",
abstract = "Due to present and imminent extreme weather patterns, regulation of hydroelectric reservoirs and flood risk management requires better measurement of river flows. To improve reservoir regulation at our hydroelectric scheme in northern part of Malaysia, a budget river flow measurement system have been installed to estimate flows of rivers that fed four of our hydroelectric reservoirs. The main goal of this measurement system is to estimate water flows into four cascade hydroelectric reservoirs using fore-bay and tail race water levels alone as sensors. With limited number of level sensors installed, mathematical computations have been used to estimate incoming cascade flows. The computation is based on mass balance that volumes of incoming flows should be equal to water stored in the reservoirs over a period plus volumes of water discharge from these hydroelectric plants. The volumes are obtained by integration of flows over selected intervals. However, computation of water volume stored in reservoirs can yield a temporary drift result due to resolution error associated with fore-bay water level measurement that has smallest measured change of 0.01m. These volume computations can causes significant errors as the level variations will be amplified by large surface areas of the reservoirs. Although this measurement system has been able to perform as anticipated, further refinements are needed including to estimate water flow travel times between different reservoir systems. Also, as the lowest level of cascaded hydroelectric stations has limited capacity (due to historical background and construction cost) that spillage is often occur, this proposed system can be used in the future to improve its energy output, in addition to reduce risks of flooding downstream.",
author = "Razali Jidin and Othman, {Abdul Bahari}",
year = "2016",
month = "5",
day = "31",
doi = "10.1109/ICCSCE.2015.7482204",
language = "English",
series = "Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "315--319",
booktitle = "Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015",
address = "United States",

}

Jidin, R & Othman, AB 2016, Cascade hydroelectric scheme: River flow estimation for reservoir regulation improvement and flood-risk mitigation. in Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015., 7482204, Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 315-319, 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015, Batu Ferringhi, Penang, Malaysia, 27/11/15. https://doi.org/10.1109/ICCSCE.2015.7482204

Cascade hydroelectric scheme : River flow estimation for reservoir regulation improvement and flood-risk mitigation. / Jidin, Razali; Othman, Abdul Bahari.

Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 315-319 7482204 (Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Cascade hydroelectric scheme

T2 - River flow estimation for reservoir regulation improvement and flood-risk mitigation

AU - Jidin, Razali

AU - Othman, Abdul Bahari

PY - 2016/5/31

Y1 - 2016/5/31

N2 - Due to present and imminent extreme weather patterns, regulation of hydroelectric reservoirs and flood risk management requires better measurement of river flows. To improve reservoir regulation at our hydroelectric scheme in northern part of Malaysia, a budget river flow measurement system have been installed to estimate flows of rivers that fed four of our hydroelectric reservoirs. The main goal of this measurement system is to estimate water flows into four cascade hydroelectric reservoirs using fore-bay and tail race water levels alone as sensors. With limited number of level sensors installed, mathematical computations have been used to estimate incoming cascade flows. The computation is based on mass balance that volumes of incoming flows should be equal to water stored in the reservoirs over a period plus volumes of water discharge from these hydroelectric plants. The volumes are obtained by integration of flows over selected intervals. However, computation of water volume stored in reservoirs can yield a temporary drift result due to resolution error associated with fore-bay water level measurement that has smallest measured change of 0.01m. These volume computations can causes significant errors as the level variations will be amplified by large surface areas of the reservoirs. Although this measurement system has been able to perform as anticipated, further refinements are needed including to estimate water flow travel times between different reservoir systems. Also, as the lowest level of cascaded hydroelectric stations has limited capacity (due to historical background and construction cost) that spillage is often occur, this proposed system can be used in the future to improve its energy output, in addition to reduce risks of flooding downstream.

AB - Due to present and imminent extreme weather patterns, regulation of hydroelectric reservoirs and flood risk management requires better measurement of river flows. To improve reservoir regulation at our hydroelectric scheme in northern part of Malaysia, a budget river flow measurement system have been installed to estimate flows of rivers that fed four of our hydroelectric reservoirs. The main goal of this measurement system is to estimate water flows into four cascade hydroelectric reservoirs using fore-bay and tail race water levels alone as sensors. With limited number of level sensors installed, mathematical computations have been used to estimate incoming cascade flows. The computation is based on mass balance that volumes of incoming flows should be equal to water stored in the reservoirs over a period plus volumes of water discharge from these hydroelectric plants. The volumes are obtained by integration of flows over selected intervals. However, computation of water volume stored in reservoirs can yield a temporary drift result due to resolution error associated with fore-bay water level measurement that has smallest measured change of 0.01m. These volume computations can causes significant errors as the level variations will be amplified by large surface areas of the reservoirs. Although this measurement system has been able to perform as anticipated, further refinements are needed including to estimate water flow travel times between different reservoir systems. Also, as the lowest level of cascaded hydroelectric stations has limited capacity (due to historical background and construction cost) that spillage is often occur, this proposed system can be used in the future to improve its energy output, in addition to reduce risks of flooding downstream.

UR - http://www.scopus.com/inward/record.url?scp=84978879827&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978879827&partnerID=8YFLogxK

U2 - 10.1109/ICCSCE.2015.7482204

DO - 10.1109/ICCSCE.2015.7482204

M3 - Conference contribution

AN - SCOPUS:84978879827

T3 - Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015

SP - 315

EP - 319

BT - Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Jidin R, Othman AB. Cascade hydroelectric scheme: River flow estimation for reservoir regulation improvement and flood-risk mitigation. In Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 315-319. 7482204. (Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015). https://doi.org/10.1109/ICCSCE.2015.7482204