Planning & Management

Oral

397425 - An Analytical Study of General Operation Rules for Parallel Reservoirs

Wednesday, June 6
2:00 PM - 3:30 PM
Location: Northstar B
Co-Authors: Ximing Cai, Hydrosystems Lab 205 N. Mathews Urbana Illinois 61801 – University of Illinois

It is challenging to provide optimal operation rules for systems with parallel reservoirs, especially generic insights on the system performance. This study presents a multi-stage optimization model to analyze a water supply system with multiple reservoirs in parallel and a single demand site, focusing on the generic characteristics of the optimal solution for the system under the various constraints (e.g., mass conservation, capacity, and dead storage.) Results show the following properties: (1) with the optimal operation, the whole study horizon is divided into a number of wet periods with high water demand satisfactory levels and dry periods with low water demand satisfactory levels; (2) the uniform water demand satisfactory levels within periods are required by the economic principles and the changes of water demand satisfactory levels between periods are caused by the limited storage capacity; (3) when the system shifts from a wet period to a dry period, to save more water for the dry period, reservoirs with storage capacity larger than the total inflow within the wet period do not release during the wet period and can be not full at the end of the wet period, and other reservoirs become full at the end of the wet period; (4) when the system shifts from a dry period to a wet period, to leave space for the coming inflow during the wet period, larger reservoirs as described in (3) can be not empty at the end of the dry period as the capacity is sufficient even though it does not release during the wet period, and other reservoirs become empty at the end of the dry period. These results provide insights for parallel reservoir system operation and algorithms could be further developed to be applied to real world reservoir operation problems.

Qiankun Zhao

Graduate Student
University of Illinois

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