Abstract
To this point, the smart market models have been deterministic, using one estimate of future inflows into the catchment. This chapter explores sources of uncertainty and discusses which of those the market should directly address and which it should not, why the deterministic approach may not calculate the best allocation, and ways to address uncertain inflows explicitly within the market-clearing mechanism using stochastic optimization. We will see that a stochastic optimization will probably be too hard to solve, and could complicate bidding and market clearing. We discuss some alternatives to the stochastic market model.
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References
Dye, S., Read, E. G., Read, R. A., & Starkey, S. R. (2012, June 14–15). Easy implementations of generalised stochastic CDDP models for market simulation studies. 4th IEEE and Cigré International Workshop on Hydro Scheduling in Competitive Markets, Bergen.
Gorelick, S. M., & Zheng, C. (2015). Global change and the groundwater management challenge. Water Resources Research, 51, 3031–3051. doi:10.1002/2014WR016825.
Hollinshead, S. P., & Lund, J. R. (2006). Optimization of environmental water account purchases with uncertainty. Water Resources Research, 42(8), W08403.
Jacobs, J., Freeman, G., Grygier, J., Morton, D., Schultz, G., Staschus, K., & Stedinger, J. (1995). SOCRATES: A system for scheduling hydroelectric generation under uncertainty. Annals of Operations Research, 59(1), 99–133.
Mahakalanda, I., Dye, S., Read, E. G., & Raffensperger, J. F. (2012, December 10–11). Intra-period market clearing for a multi-use catchment via CDDP. Paper presented at the ORSNZ Conference, Wellington.
Pinto Rodriguez, A. A. (2013). Market mechanisms to allow trading of impervious cover. PhD thesis, University of Canterbury, Christchurch.
Pinto Rodriguez, A. A., Raffensperger, J. F., Cochrane, T. A., & Dye, S. (2009, December 3–4). A proposed smart market for impervious cover runoff under rainfall uncertainty. In Proceedings of the ORNSZ conference, Christchurch, (pp. 190–199).
Pritchard, G., Zakeri, G., & Philpott, A. (2010). A single-settlement, energy-only electric power market for unpredictable and intermittent participants. Operations Research, 58(4), 1210–1219.
Starkey, S. R., Dye, S., Read, E. G., & Read, R. A. (2012, June 14–15). Stochastic versus deterministic market design: Some experimental results. 4th IEEE and Cigré International Workshop on Hydro Scheduling in Competitive Markets, Bergen.
Thompson Jr., B. H. (2005). Uncertainty and markets in water resources. McGeorge Law Review, 36, 117–138.
Tilmant, A., & Kelman, R. (2007). A stochastic approach to analyze trade-offs and risks associated with largescale water resources systems. Water Resources Research, 43(6), W06425.
Zhu, T., Marques, G. F., & Lund, J. R. (2015). Hydroeconomic optimization of integrated water management and transfers under stochastic surface water supply. Water Resources Research, 51, 3568–3587. doi:10.1002/2014WR016519.
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Raffensperger, J.F., Milke, M.W. (2017). Water Markets in a Stochastic World. In: Smart Markets for Water Resources. Global Issues in Water Policy, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-55008-4_11
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DOI: https://doi.org/10.1007/978-3-319-55008-4_11
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