Abstract:

In this paper,an energy- saving optimization control strategy of the biochemical process of wastewater is proposed to determine the optimal setting values of the control variables based on the artificial immune algorithm.First,two PI controllers respectively for the dissolved oxygen concentration of the aerobic tank and the nitrate nitro-gen concentration of the anoxic tank are established on the benchmark simulation platform BSM1,which is used in describing the biochemical treatment process of the pre- denitrification activated sludge wastewater system.Next,a control scheme is presented to meet the effluent standards with minimal aeration and pumping energy consumption.Then,the optimal setting values of the PI controllers are evaluated by using the artificial immune algorithm of global optimization,and both the oxygen transfer coefficient and the internal flow rate are controlled by making the contro-ller follow the setting values.Finally,simulation experiments are conducted by using the data of the influent flow rate under three kinds of weather conditions.The results show that the proposed algorithm is effective and robust.

Key words: wastewater treatment, energy- saving optimization, benchmark model, artificial immune