Technical Papers
Aug 17, 2012

Efficiency Curves for Hydroelectric Generating Units

Publication: Journal of Water Resources Planning and Management
Volume 140, Issue 1

Abstract

This paper presents a methodology for obtaining and adjusting of efficiency curves for hydroelectric generating units. It is based on measured data of power, gross head, and water discharge recorded by the company that manages the plant operation. The objective is to determine the actual performance characteristics of the set: turbine, generator, and penstock. In order to obtain the efficiency functions, an iterative calculation is used. Its input data are the functions currently in use of turbine efficiency, generator efficiency, and penstock head losses. For the adjustment of the efficiency functions, the Generalized Reduced Gradient optimization method is employed. A case study was applied to the data from a large Brazilian hydroelectric plant whose operation is under the coordination of the Electric System National Operator. The benefits of the proposed methodology are analyzed using a simulation tool for the hydroelectric operation. The simulator is used to reproduce the past operation of the plant, first with current data and second with adjusted data. The results show that the optimal unit efficiency functions significantly contribute to bring the real and simulated operation closer.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The research reported herein was supported by the FAPESP, Brazilian government agency dedicated to the development of science and technology, which has funded the postdoctoral studies of the first author.

References

Agência Nacional De Energia Elétrica (ANEEL). (2008). “Atlas of electrical energy in Brazil.” 〈www.aneel.gov.br〉 (Jul. 06, 2009).
Breton, M., Hachem, S., and Hammadia, A. (2004). “Accounting for losses in the optimization of production of hydroplants.” IEEE Trans. Energy Conv., 19(2), 346–351.
Câmara de Comercialização de Energia Elétrica (CCEE). (2011). “Commercialization chamber of electrical energy.” 〈www.ccee.org.br〉 (Oct. 10, 2011).
Colnago, G. R. (2007). “Optimal dispatch model with individual treatment of generating units in hydroelectric plants.” M.S. thesis, State Univ. of Campinas, Campinas, Sao Paulo, Brazil.
Diniz, A. L., Esteves, P. P. I., and Sagastizabal, C. A. (2007). “A mathematical model for the efficiency curves of hydroelectric units.” Power Engineering Society General Meeting, IEEE, Tampa, FL, 1–7.
Encina, A. S. A. (2006). “Optimal dispatch of generating units in hydroelectric systems by heuristic based on lagrangian relaxation and dynamic programming.” Ph.D. thesis, State Univ. of Campinas, Campinas, Sao Paulo, Brazil.
Frontline Systems. (2010). Developers of Excel Solver. 〈www.solver.com〉 (Nov. 08, 2011).
Hidalgo, I. G. (2004). “Search system for data analysis from hydroelectric plants.” M.S. thesis, State Univ. of Campinas, Campinas, Sao Paulo, Brazil.
Hidalgo, I. G., Fontane, D. G., Soares Filho, S., and Cicogna, M. A. (2009).Computer-aided system for managing, controlling, and analyzing data from hydroelectric plants, ASCE, Kansas, MO, 4749–4757.
Hidalgo, I. G., Fontane, D. G., Soares Filho, S., Cicogna, M. A., and Lopes, J. E. G. (2010). “Data consolidation from hydroelectric plants.” J. Energy Eng., 87–94.
Leite, P. T., Carneiro, A. A. F. M., and Carvalho, A. C. P. L. F. (2002). “Energetic operation planning using genetic algorithms.” IEEE Trans. Power Syst., 17(1), 173–179.
Lopes, J. E. G. (2001). “Hydropower systems optimization.” M.S. thesis, State Univ. of Sao Paulo, Sao Paulo, Brazil.
Lopes, J. E. G. (2007). “Model for operation planning of hydrothermal systems for electrical energy production.” Ph.D. thesis, State Univ. of Sao Paulo, Sao Paulo, Brazil.
Padhy, M. K., and Sainia, R. P. (2008). “A review on silt erosion in hydro turbines.” Renew. Sustain. Energy Rev., 12(7), 1974–1987.
Resende, M. F. (2007). “The variation of the hydraulic characteristics in penstock due to infestation by limnoperna fortunei.” M.S. thesis, Federal Univ. of Minas Gerais, Minas Gerais, Brazil.
Soares Filho, S., and Salmazo, C. T. (1997). “Minimum loss predispatch model for hydroelectric power plant.” IEEE Trans. Power Syst., 12(3), 1220–1228.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 140Issue 1January 2014
Pages: 86 - 91

History

Received: Oct 29, 2011
Accepted: Jul 26, 2012
Published online: Aug 17, 2012
Discussion open until: Jan 17, 2013
Published in print: Jan 1, 2014

Permissions

Request permissions for this article.

Authors

Affiliations

Ieda G. Hidalgo [email protected]
Professor, Faculty of Technology, State Univ. of Campinas-UNICAMP, 13.484-332, Campinas, Brazil (corresponding author). E-mail: [email protected]
Darrell G. Fontane [email protected]
M.ASCE
Professor, Faculty of Civil and Environmental Engineering, Colorado State Univ.-CSU, Fort Collins, CO 80521. E-mail: [email protected]
João E. G. Lopes [email protected]
Researcher, Faculty of Civil Engineering, State Univ. of Campinas-UNICAMP, 13.083-852, Campinas, Brazil. E-mail: [email protected]
José G. P. Andrade [email protected]
Professor, Faculty of Technology, State Univ. of Campinas-UNICAMP, 13.484-332, Campinas, Brazil. E-mail: [email protected]
André F. de Angelis [email protected]
Professor, Faculty of Technology, State Univ. of Campinas-UNICAMP, 13.484-332, Campinas, Brazil. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share