Triple parallel progressive optimality algorithm for optimal operation of the complicated flood control system

The progressive optimality algorithm (POA) is an effective method that has been widely used in solving the optimal flood control operation of reservoirs. However, the efficiency of POA decreases in solving the operation problem of complex flood control system with the increase of the number of reservoirs and factors to be considered such as flood routing and local inflows. This study proposed a method called triple parallel progressive optimality algorithm (TPPOA) by introducing Levy flight,pattern search and parallel computation based on POA and applied this method to the optimal flood control operation of the complicated flood control system in the middle and lower reaches of the Ganjiang River. The results show that TPPOA could efficiently reduce the flood peaks at the downstream flood control points to alleviate flood control pressure of the downstream area compared with the flood control operation rules and POA. In addition, the computing speed of TPPOA is faster with the 6 core CPU computer,which is about 3 to 7 times that of the POA. This study provides a new method for optimal operation of the complicated flood control system. © 2020, China Water Power Press. All right reserved.