An Improved DP-POA Method for Optimal Operation of Reservoir Flood Control

The consuming-time of the algorithm for solving the reservoir optimal operation model is crucial to real-time flood control. The traditional DP-POA (Dynamic Programmin-Progressive Optimization Algorithm) has better solutions but takes a long time. This study proposed an improved DP-POA method, which effectively reduces the amount of calculation and improves the calculation speed by simplifying the objective function. Taking Yuecheng Reservoir in China as an example, this study conducted a comparative analysis of five algorithms, including improved DP-POA, traditional DP-POA, improved POA, traditional POA and PSO (Particle Swarm Optimization). The results show that the improved DP-POA exhibits significant advantages in both consuming-time and solution quality. In the 2021 flood case, compared with the traditional DP-POA, the consuming-time of the improved DP-POA is shortened from about half an hour to less than 5 minutes; meanwhile, the solution of the improved DP-POA is better than or basically equal to other comparative methods.