196
Views
7
CrossRef citations to date
0
Altmetric
Articles

Considering precipitation forecasts for real-time decision-making in hydropower operations

, &
Pages 987-1002 | Received 23 Jan 2016, Accepted 30 Jul 2016, Published online: 22 Nov 2016

References

  • Borichevsky, G. (2002). Bidding mechanisms for realizing hydro efficiencies in market operations. 2002 IEEE Power Engineering Society Summer Meeting, 3, 1301–1321. doi:10.1109/PESS.2002.1043573
  • Celeste, A., & Billib, M. (2009). Evaluation of stochastic reservoir operation optimization models. Advances in Water Resources, 32, 1429–1443. doi:10.1016/j.advwatres.2009.06.008
  • Collischonn, W., Haas, R., Andreolli, I., & Tucci, C. (2005). Forecasting River Uruguay flow using rainfall forecasts from a regional weather-prediction model. Journal of Hydrology, 305, 87–98. doi:10.1016/j.jhydrol.2004.08.028
  • Collischonn, W., Morelli Tucci, C., Clarke, R., & Chou, S. (2007). Medium-range reservoir inflow predictions based on quantitative precipitation forecasts. Journal of Hydrology, 344, 112–122. doi:10.1016/j.jhydrol.2007.06.025
  • Cui, B., Toth, Z., Zhu, Y., & Hou, D. (2011). Bias correction for global ensemble forecast. Weather Forecasting, 27, 396–410. doi: https://doi.org/10.1175/WAF-D-11-00011.1
  • Dutta, B., & Houck, M. (1984). A stochastic optimization model for real-time operation of reservoirs using uncertain forecasts. Water Resources Research, 20, 1039–1046. doi:10.1029/WR020i008p01039
  • Golding, B. W. (2000). Quantitative precipitation forecasting in the UK. Journal of Hydrology, 239, 286–305. doi:10.1016/S0022-1694(00)00354-1
  • Habets, F., LeMoigne, P., & Noilhan, J. (2004). On the utility of operational precipitation forecasts to served as input for streamflow forecasting. Journal of Hydrology, 293, 270–288. doi:10.1016/j.jhydrol.2004.02.004
  • Handmer, J. (2008). Risk creation, bearing and sharing on Australian floodplains. International Journal of Water Resources Development, 24, 527–540. doi:10.1080/07900620801921439
  • Karamouz, M., & Vasiliadis, H. (1992). Bayesian stochastic optimization of reservoir operation using uncertain forecasts. Water Resources Research, 28, 1221–1232. doi:10.1029/92WR00103
  • Kim, Y., & Palmer, R. (1997). Value of seasonal flow forecasts in Bayesian stochastic programming. Journal of Water Resources Planning and Management, 123, 327–335. doi:10.1061/(ASCE)0733-9496(1997)123:6(327)
  • Labadie, J. W. (2004). Optimal operation of multireservoir systems: State-of-the-art review. Journal of Water Resources Planning and Management, 130, 93–111.10.1061/(ASCE)0733-9496(2004)130:2(93)
  • Lempert, R., & Schlesinger, M. (2000). Robust strategies for abating climate change. Climatic Change, 45, 387–401. doi:10.1023/A:1005698407365
  • MacGillivray, B., Hamilton, P., Strutt, J., & Pollard, S. (2006). Risk analysis strategies in the water utility sector: An inventory of applications for better and more credible decision making. Critical Reviews in Environmental Science and Technology, 36, 85–139. doi:10.1080/10643380500531171
  • Mascaro, G., Vivoni, E., & Deidda, R. (2010). Implications of ensemble quantitative precipitation forecast errors on distributed streamflow forecasting. Journal of Hydrometeorology, 11, 69–86. doi:10.1175/2009JHM1144.1
  • Meneguzzo, F., Pasqui, M., Menduni, G., Messeri, G., Gozzini, B., Grifoni, D., Rossi, M., & Maracchi, G. (2004). Sensitivity of meteorological high-resolution numerical simulations of the biggest floods occurred over the Arno river basin, Italy, in the 20th century. Journal of Hydrology, 288, 37–56. doi:10.1016/j.jhydrol.2003.11.032
  • Moeini, R., Afshar, A., & Afshar, M. (2011). Fuzzy rule-based model for hydropower reservoirs operation. International Journal of Electrical Power & Energy Systems, 33, 171–178.10.1016/j.ijepes.2010.08.012
  • Moraga, R., Garcia-Gonzalez, J., Nogales, S., & Arteseros, M. (2006). A contingency analysis for managing the risk of water spillage and shortage in a mid-term hydro scheduling model. Probabilistic Methods Applied to Power Systems, 1–6, doi:10.1109/PMAPS.2006.360201
  • Mujumdar, P. & Nirmala, B. (2007). A Bayesian stochastic optimization model for a multi-reservoir hydropower system. Water Resources Management, 21, 1465–1485. doi:10.1007/s11269-006-9094-3
  • Neuvel, J., & Van der Knaap, W. (2010). A spatial planning perspective for measures concerning flood risk management. International Journal of Water Resources Development, 26, 283–296. doi:10.1080/07900621003655668
  • Pan, Y., Zhang, Y., Zhang, W., He, Z., & Zhang, Z. (2012). The model of water shortage risk in metropolises. International Journal of Digital Content Technology & its Applications, 15, 76–84.
  • Pliefke, T., Sperbeck, S., Urban, M., Peil, U., & Budelmann, H. (2007). A standardized methodology for managing disaster risk-an attempt to remove ambiguity. The 5th International Probabilistic Workshop, Ghent, ACCO, 283–294.
  • Pollard, S., Strutt, J., MacGillivray, B., Hamilton, P., & Hrudey, S. (2004). Risk analysis and management in the water utility sector-A review of drivers, tools and techniques. Process Safety and Environmental Protection, 82, 453–462.10.1205/psep.82.6.453.53207
  • Qi, W., Zhang, C., Fu, G., & Zhou, H. (2015). Global land data assimilation system data assessment using a distributed biosphere hydrological model. Journal of Hydrology, 528, 652–667.10.1016/j.jhydrol.2015.07.011
  • Rossi, G., & Cancelliere, A. (2013). Managing drought risk in water supply systems in Europe: A review. International Journal of Water Resources Development, 29, 272–289.10.1080/07900627.2012.713848
  • Rossi, G., Caporali, E., & Garrote, L. (2012). Definition of risk indicators for reservoirs management optimization. Water Resources Management, 26, 981–996. doi:10.1007/s11269-011-9842-x
  • Roulin, E., & Vannitsem, S. (2005). Skill of medium-range hydrological ensemble predictions. Journal of Hydrometeorology, 6, 729–744. doi:10.1175/JHM436.1
  • Russel, S., & Campbell, P. (1996). Reservoir operating rules with fuzzy logic programming. Journal of Water Resources Planning and Management, 122, 165–170.10.1061/(ASCE)0733-9496(1996)122:3(165)
  • Shi, X., Fang, W., Lin, W., & Li, Y. (2011). Uncertainty of China typhoon rainfall probability estimation with different extreme-value models. Journal of Beijing Normal University (Natural Science), 47, 493–501 . (in Chinese).
  • Simiu, E. & Heckert, N. (1996). Extreme wind distribution tails: A “peaks over threshold” approach. Journal of Structural Engineering, 122(5), 539–547. doi:10.1061/(ASCE)0733-9445(1996)122:5(539)
  • Steinschneider, S., & Brown, C. (2012). Dynamic reservoir management with real-option risk hedging as a robust adaptation to nonstationary climate. Water Resources Research, 48, W05524. doi:10.1029/2011WR011540
  • Tang, G., Zhou, H., Li, N., Wang, F., Wang, Y., & Jian, D. (2010). Value of medium-range precipitation forecasts in inflow prediction and hydropower optimization. Water Resources Management, 24, 2721–2742. doi:10.1007/s11269-010-9576-1
  • Tejada-Guibert, J., Johnson, S., & Stedinger, J. (1995). The value of hydrologic information in stochastic dynamic programming models of a multireservoir system. Water Resources Research, 31, 2571–2579. doi:10.1029/95WR02172
  • Xi, S., Wang, B., Liang, G., Li, X., & Lou, L. (2010). Inter-basin water transfer-supply model and risk analysis with consideration of rainfall forecast information. Science China Technological Sciences, 53, 3316–3323. doi:10.1007/s11431-010-4170-6
  • Xu, X., Mei, Y., & Ye, Y. (2005). Risk calculation of storing water and generating electricity of Wan’an Reservoir operation. Engineering Journal of Wuhan University, 38, 35–39. (in Chinese).
  • Xu, W., Peng, Y., & Wang, B. (2013). Evaluation of optimization operation models for cascaded hydropower reservoirs to utilize medium range forecasting inflow. Science China Technological Sciences, 56, 2540–2552. doi:10.1007/s11431-013-5346-7
  • Xu, W., Zhang, C., Peng, Y., Fu, G., & Zhou, H. (2014). A two stage Bayesian stochastic optimization model for cascaded hydropower systems considering varying uncertainty of flow forecasts. Water Resources Research, 50, 9267–9286. doi:10.1002/2013WR015181
  • Zhang, C., Liang, Q., & Yin, J. (2013). A first-order adaptive solution to rapidly spreading flood waves. Progress in Computational Fluid Dynamics, An International Journal, 13(1), 1–10.10.1504/PCFD.2013.050645
  • Zhong, P., Tang, L., & Zhang, M. (2011). Study on risk analysis of long-term power generation optimal dispatching scheme for hydropower station. Journal of hydroelectric engineering, 30, 40–43 . (in Chinese).
  • Zhu, X., Zhang, C., Yin, J., Zhou, H., & Jiang, Y. (2014). Optimization of water diversion based on reservoir operating rules – a case study of the Biliu River reservoir. Journal of Hydrologic Engineering, 19, 411–421.10.1061/(ASCE)HE.1943-5584.0000805

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.