Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7397236 | Energy Policy | 2018 | 9 Pages |
Abstract
Maximizing the long-term value of hydropower generation requires management of uncertain reservoir inflows, potentially variable constraints on outflows, and exposure to possibly wildly varying power prices. We describe a stochastic dynamic programming approach to the quantification of reservoir reliability (for example, measures of the risk of over-topping the reservoir or failing to satisfy downstream flow requirements) and a related approach to determining the reservoir flow strategy that maximizes expected revenue, subject to defined target reliability levels.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Antony Ware,