Deriving adaptive operating rules of hydropower reservoirs using time‐varying parameters generated by the EnKF. Issue 8 (16th August 2017)

• Record Type: Journal Article
• Authors: Feng, Maoyuan; Liu, Pan; Guo, Shenglian; Shi, Liangsheng; Deng, Chao; Ming, Bo
• Is Part Of: Water resources research. Volume 53:Issue 8(2017)
• Page Start: 6885
• Page End: 6907
• Publication Date: 2017-08-16
• Subjects: reservoir operation -- adaptive operating rules -- EnKF -- time‐varying parameters; Hydrology -- Periodicals; 333.91
• DOI: 10.1002/2016WR020180
• Languages: English
• ISSNs: 0043-1397

Abstract

Abstract: Operating rules have been used widely to decide reservoir operations because of their capacity for coping with uncertain inflow. However, stationary operating rules lack adaptability; thus, under changing environmental conditions, they cause inefficient reservoir operation. This paper derives adaptive operating rules based on time‐varying parameters generated using the ensemble Kalman filter (EnKF). A deterministic optimization model is established to obtain optimal water releases, which are further taken as observations of the reservoir simulation model. The EnKF is formulated to update the operating rules sequentially, providing a series of time‐varying parameters. To identify the index that dominates the variations of the operating rules, three hydrologic factors are selected: the reservoir inflow, ratio of future inflow to current available water, and available water. Finally, adaptive operating rules are derived by fitting the time‐varying parameters with the identified dominant hydrologic factor. China's Three Gorges Reservoir was selected as a case study. Results show that (1) the EnKF has the capability of capturing the variations of the operating rules, (2) reservoir inflow is the factor that dominates the variations of the operating rules, and (3) the derived adaptive operating rules are effective in improving hydropower benefits compared with stationary operating rules. The insightful findings of this study could be used to help adapt reservoir operations to mitigate the effects of changing environmental conditions. Key Points: Optimal trajectories of deterministic reservoir operation model are taken as observations for the EnKF The EnKF is formulated to identify time‐varying parameters of reservoir operating rules Adaptive operating rules are derived and proven effective in improving hydropower benefits