Technical Papers
Jan 15, 2014

Coordinated Hydropower Plant Simulation for Multireservoir Systems

Publication: Journal of Water Resources Planning and Management
Volume 140, Issue 2

Abstract

Hydroreservoirs usually serve two main purposes: hydropower production and water consumption. The great flexibility, low operating costs, and low carbon impact of hydroturbines turns them into a desirable technology in the generator mix of power systems. In addition, sustainability and environmental concerns support their use in current power systems, along with other renewable energy sources like wind and solar energy. However, the stochastic nature of river inflows hinders their long-term use and hints at the need to use planning tools. Furthermore, it also requires the use of planning tools in order to balance present and future requirements. This work presents a simulation tool that is employed at Iberdrola to help in the preparation of medium-term hydroelectric production schedules. The main objective of the simulation is to follow the production guidelines given by a long-term hydrothermal problem, while avoiding spillages and failures to fulfill water release agreements. In order to achieve this, the simulation algorithm is structured around several phases that aim at coordinating the operation of all the elements in the basin. This way, the simulation tool provides the operator a way to evaluate the outcome from forecasts of either water inflows or future operation situations. Some of the potential applications of this simulation tool are shown in this work: general simulation in order to know in advance the consequences of possible inflow forecasts, and how to assess several maintenance schedules and different upgrade plans.

Get full access to this article

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

References

Afzali, R., Mousavi, S. J., and Ghaheri, A. (2008). “Reliability-based simulation-optimization model for multireservoir hydropower systems operations: Khersan experience.” J. Water Resour. Plann. Manage., 24–33.
Bortolossi, H. J., Pereira, M. V., and Tomei, C. (2002). “Optimal hydrothermal scheduling with variable production coefficient.” Math. Meth. Oper. Res., 55(1), 11–36.
Bosona, T. G., and Gebresenbet, G. (2010). “Modeling hydropower plant system to improve its reservoir operation.” Int. J. Water Res. Env. Eng., 2(4), 87–94.
Castronuovo, E. D., and Peças, J. A. (2004). “Optimal operation and hydro storage sizing of a wind-hydro power plant.” Int. J. Electr. Power Energy Syst., 26(10), 771–778.
Catalao, J. P. S., Mariano, S. J. P., Mendes, V. M. F., and Ferreira, L. A. F. (2009). “Scheduling of head-sensitive cascaded hydro Syst.: A nonlinear approach.” IEEE Trans. Power Syst., 24(1), 337–346.
Cerisola, S., Latorre, J. M., and Ramos, A. (2012). “Stochastic dual dynamic programming applied to nonconvex hydrothermal models.” Eur. J. Oper. Res., 218(3), 687–697.
Farhat, I. A., and El-Hawary, M. E. (2009). “Optimization methods applied for solving the short-term hydrothermal coordination problem.” Electr. Power Syst. Res., 79(9), 1308–1320.
Goor, Q., Kelman, R., and Tilmant, A. (2011). “Optimal multipurpose-multireservoir operation model with variable productivity of hydropower plants.” J. Water Resour. Plann. Manage., 258–267.
Guo, S., Chen, J., Li, Y., Liu, P., and Li, T. (2011). “Joint operation of the multi-reservoir system of the Three Gorges and the Qingjiang cascade reservoirs.” Energies, 4(7), 1036–1050.
Karamouz, M., Zahraie, B., and Araghinejad, S. (2005). “Decision support system for monthly operation of hydropower reservoirs: A case study.” J. Comput. Civ. Eng., 194–207.
Koutsoyiannis, D., and Economou, A. (2003). “Evaluation of the parametrization-simulation-optimization approach for the control of multi-reservoir systems.” Water Resour. Res., 39(4), 1170–1186.
Koutsoyiannis, D., Efstratiadis, A., and Karavokiros, G. (2002). “A decision support tool for the management of multi-reservoir systems.” J. Am. Water Resour. Assoc., 38(4), 945–958.
Labadie, J. (2004). “Optimal operation of multireservoir systems: State-of-the-art review.” J. Water Resour. Plann. Manage., 93–111.
Latorre, J. M., Cerisola, S., Ramos, A., Bellido, R., and Perea, A. (2008). “Creation of hydroelectric system scheduling by simulation.” Complex decision making: Theory and practice, H. Qudrat-Ullah, J. Spector, and P. Davidsen, eds., Vol. 30, Springer, Berlin, 83–96.
Marques, G. F., et al. (2006). “Economically driven simulation of regional water systems: Friant-Kern, California.” J. Water Resour. Plann. Manage., 468–479.
Migliaccio, K. W., and Srivastava, P. (2007). “Hydrologic components of watershed-scale models.” Trans. ASAE, 50(5), 1695–1703.
Navon, U., Zur, I., and Weiner, D. (1988). “Simulation model for optimising energy allocation to hydro-electric and thermal plants in a mixed thermal/hydro-electric power system.” Generation, Transmission and Distribution, IEE Proc. C, 135(3), 182–188.
Ramos, A., Bellido, R., Cerisola, S., Latorre, J. M., and Perea, A. (2007). “A medium term multireservoir hydrothermal coordination model by stochastic programming.” INFORMS Annual Meeting 2007, Institute for Operations Research and the Management Sciences (INFORMS), Catonsville, MD.
Schildt, H. (2002). C++: The complete reference, McGraw-Hill, New York.
Scott, T. J., and Read, E. G. (1996). “Modelling hydro reservoir operation in a deregulated electricity market.” Int. Trans. Oper. Res., 3(3–4), 243–253.
Tufegdzic, N., Frowd, R. J., and Stadlin, W. O. (1996). “A coordinated approach for real-time short term hydro scheduling.” IEEE Trans. Power Syst., 11(4), 1698–1704.
Vogstad, K. O., Holttinen, H., Botterud, A., and Tande, J. O. G. (2000). “System benefits of coordinating wind power and hydropower in a deregulated market.” Proc. 2000 Wind Power for the 21st Century, European Wind Energy Association (EWEA), Brussels Belgium.
Wang, J., Hassett, J. M., and Endreny, T. A. (2005). “An object oriented approach to the description and simulation of watershed scale hydrologic processes.” Comput. Geosci., 31(4), 425–435.
Ziervogel, G., and Hughes, D. A. (1998). “The inclusion of operating rules in a daily reservoir simulation model to determine ecological reserve releases for river maintenance.” Water SA, 24(4), 293–302.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 140Issue 2February 2014
Pages: 216 - 227

History

Received: Feb 20, 2012
Accepted: Aug 9, 2012
Published online: Jan 15, 2014
Published in print: Feb 1, 2014
Discussion open until: Jun 15, 2014

Permissions

Request permissions for this article.

Authors

Affiliations

Jesus M. Latorre [email protected]
Institute for Research in Technology, ICAI-Comillas Pontifical Univ., Santa Cruz de Marcenado 26, 28015 Madrid, Spain (corresponding author). E-mail: [email protected]
Santiago Cerisola
Institute for Research in Technology, ICAI-Comillas Pontifical Univ., Santa Cruz de Marcenado 26, 28015 Madrid, Spain.
Andres Ramos
Institute for Research in Technology, ICAI-Comillas Pontifical Univ., Santa Cruz de Marcenado 26, 28015 Madrid, Spain.
Alejandro Perea
Iberdrola Generación, Tomás Redondo 1, 28033 Madrid, Spain.
Rafael Bellido
Iberdrola Generación, Tomás Redondo 1, 28033 Madrid, Spain.

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