APPLICATIONS OF AN INTERACTIVE OPTIMIZATION METHOD TO THE OPERATION OF AN EXISTING RESERVOIR
Abstract
A new methodology is developed for use in optimizing reservoir operations. This method utilizes an original objective function that is derived from reservoir managers' goals. By interpreting the operating desires of decision makers in terms of probabilistic benefits, Probabilistic Optimization Objective Functions (POOFs) are defined. One advantage of POOFs is that they do not require an extensive economic analysis. POOFs were developed for the Eagle Creek Reservoir located near Indianapolis, Indiana. For the Eagle Creek Reservoir case study the following conclusions may be drawn: (1) Probabilistic Optimization Objective Functions (POOFs) were easily constructed. (2) Simulated POOF optimizations of daily operations reduced floods significantly over heuristic policies when both had the advantage of ideal inflow forecasts. (3) POOF optimization results can be assembled into release rule curves capable of reducing droughts and floods to a greater extent than heuristic or historic policies. (4) Special POOFs which guide the reservoir operations during extreme conditions reduced the effects of simulated droughts and floods with ideal inflow forecast knowledge.
Degree
Ph.D.
Subject Area
Civil engineering
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