Improved Dynamic Programming for Reservoir Operation Optimization with a Concave Objective Function

2012 ◽  
Vol 138 (6) ◽  
pp. 590-596 ◽  
Author(s):  
Tongtiegang Zhao ◽  
Ximing Cai ◽  
Xiaohui Lei ◽  
Hao Wang
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 103473-103484 ◽  
Author(s):  
Zhongzheng He ◽  
Jianzhong Zhou ◽  
Li Mo ◽  
Hui Qin ◽  
Xiaogang Xiao ◽  
...  

2014 ◽  
Vol 16 (5) ◽  
pp. 1142-1157 ◽  
Author(s):  
Tongtiegang Zhao ◽  
Jianshi Zhao

Reservoirs are usually designed and operated for multiple purposes, which makes the multiple-objective issue important in reservoir operation. Based on multiple-objective dynamic programming (MODP), this study proposes an improved multiple-objective DP (IMODP) algorithm for reservoir operation optimization, which can be used to solve multiple-objective optimization models regardless whether the curvatures of trade-offs among objectives are concave or not. MODP retains all the Pareto-optimal solutions through backward induction, resulting in the exponential increase of computational burden with the length of study horizon. To improve the computational efficiency, this study incorporates the ranking technique into MODP and proposes an efficient IMODP algorithm. We demonstrate the effectiveness of IMODP through a hypothetical test and a real-world case. The hypothetical test includes three cases in which the trade-offs between objectives are concave, convex, and neither concave nor convex. The results show that IMODP satisfactorily captures the Pareto front for all three cases. The real-world test focuses on hydropower and analyzes the trade-offs between total energy and firm energy for Danjiangkou Reservoir. IMODP efficiently identifies the Pareto-optimal solutions and the trade-offs among objectives.


2019 ◽  
Vol 270 ◽  
pp. 04016
Author(s):  
Dyah Ari Wulandari ◽  
Suseno Darsono ◽  
Dwi Kurniani

Inaccurate water release has occurred from Gunungrowo Reservoir. In May–June, there is excess water release from Gunungrowo Reservoir while in the period from July to August there is a shortage of water release. Therefore the reservoir operation should be evaluated and updated in order to obtain optimal results and to adjust the changes. The purpose of this study was to evaluate the existing reservoir operation and to carry out an optimization to find the optimal reservoir operation. The objective is to conduct hydrological analysis, evaluate the reservoir operation, formulate a model of reservoir operation, optimize the reservoir operation, and analyse the results of reservoir operation optimization. Optimization of reservoir operation generates the water level of reservoirs and the release of water in each period as well as the objective function value under each scenario of reservoir operation. The existing reservoir operation is not optimal and has a reliability of only 24%. In the operation of the existing reservoir, emptying of the reservoir storage always happens and inaccuracies in the release of water have occurred. The optimal reservoir operation is scenario I, with a reliability of 75%, in which water is released in Planting Season II and Planting Season III.


2019 ◽  
Vol 131 ◽  
pp. 103373 ◽  
Author(s):  
Xiang Zeng ◽  
Tiesong Hu ◽  
Ximing Cai ◽  
Yuliang Zhou ◽  
Xin Wang

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