Abstract
In flood control scheduling of reservoirs, the usual conventional scheduling fails to obtain the optimal solution to the problem. The dynamic programming method is applied to the field. However, the problem of ‘dimensional disaster’ restricts its application. To solve these problems, the improved DP is constructed according to the principle of period inflow and water balance, which includes a variable dispersion mechanism of the retraction space and a calculation method for the smallest discrete points of each discrete range. Taking Dongjiang Reservoir as the research object, based on the maximum peak clipping criterion and the maximum flood control safety guarantee criterion, the improved DP is used for optimization. The results find that when the former criterion is used for scheduling, the discharge flow processes of the two floods are more uniform than conventional scheduling. When the latter criterion is used for scheduling, the minimum water levels of the two floods are lower than the conventional scheduling. As such, it is found that in the two flood dispatches, the calculation time after the first flood DP dimensionality reduction processing is reduced by about 65%, and the second flood is reduced by about 59%, which greatly improves the calculation efficiency of the DP.
Highlights
Reservoir flood control scheduling is usually a multi-constrained, multi-stage, nonlinear, and complex decision-making process
The conventional flood control scheduling rules described in Section 2.2.2 and ffllood control scheduling procedures of the Dongjiang Reservoir described in Section 4.2 are adopted in scheduling
In this paper, aiming at solving the problem of reservoir flood control optimal operation, the variable cable space of dynamic programming (DP) is constructed by improving the application of the DP algorithm, and the variable discrete mechanism of cable space is proposed to solve the problem of negative downstream discharge, which effectively reduces the calculation amount of DP to improve the calculation speed of DP and avoids the negative downstream discharge
Summary
Reservoir flood control scheduling is usually a multi-constrained, multi-stage, nonlinear, and complex decision-making process. Many optimization algorithms have been applied to the solution of the reservoir flood control optimal scheduling model. Bai et al (2015) [10] and Zhang et al (2016) [11] applied a hybrid approach, combining the progressive optimality algorithm (POA) and dynamic programming successive approximation (DPSA) to multi-reservoir operation, inheriting the advantages of the two methods. To make the DP method better applied to the flood control optimal scheduling of reservoir, a dynamic programming dimensionality reduction method on the hourly scale is proposed to further alleviate the dimensional disaster of DP and avoid the negative discharge flow. According to the scheduling results, the feasible measures for improving the flood control level of the reservoir are summarized and extracted
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