Secondary water supply system(SWSS)is the key process for water supply to reach the users'tap water.Aimed at the problem that water age in SWSS affects water quality,the optimized operation model based on deep Q-learning network(DQN)is proposed.The optimization objectives of water pressure,water age and energy consumption were calculated to the corresponding rewards.In the model,the inputs were the hydraulic state of SWSS,and the outputs were the operation instructions of the pool inlet and the pumps.Taking a SWSS in the residential community as an example,the hydraulic model was established by using the software EPANET.Based on DQN,the operation instructions of the pool and the pumps were optimized.The results show that on the premise of ensuring water pressure,the water age is reduced.
关键词
二次供水系统/DQN算法/运行优化/水龄
Key words
Secondary water supply system/Deep Q-learning network/Operation optimization/Water age
维普
万方数据