Wastewater treatment energy conservation optimization method based on improved local search immune genetic algorithm

Abstract

The invention discloses a wastewater treatment energy conservation optimization method based on an improved local search immune genetic algorithm. The method comprises following steps: designing a proportional-integral controller for dissolved oxygen concentration in an aeration tank and nitrate nitrogen in an anoxia pool; determining an energy conservation optimization function and an energy conservation target in consideration of water output and energy consumption; proposing an improved local search immune genetic algorithm; solving dynamically controlled set values of dissolved oxygen and nitrate nitrogen; minimizing and optimizing energy consumption cost on the premise that the water output satisfies the emission standard. According to the method, the improved local search immune genetic algorithm is adopted; an optimized target function with minimum blowing machine energy consumption and pumping energy consumption and with wastewater quality being as a constraint is established; a cycle time of a quarter of a day which is used as the controller reference value is seen as the controlled object, and a dynamically adjusted optimizing strategy is carried out; optimized results of the local search immune genetic algorithm are added to the off-line solving of the controller reference values, and therefore, energy consumption in wastewater treatment is remarkably reduced on the premise that water output quality is guaranteed.

Description

technical field [0001] The invention relates to the technical field of energy-saving optimization of sewage treatment, in particular to an energy-saving optimization method of sewage treatment based on an improved local search immune genetic algorithm. Background technique [0002] In my country's current urban domestic sewage treatment, most still rely on conventional control methods based on manual experience. There are many disadvantages in such measures, which often lead to poor water discharge effect, failure to track the change of sewage influent concentration in time, and high operating costs. Therefore, optimizing the control of the sewage treatment process so that the system consumes as little energy as possible during operation is an important means to ensure the stable operation of the sewage treatment plant. [0003] In the sewage treatment model BSM1, the energy consumption of the blower and the internal return pumping are the main types of energy consumption i...

AI Technical Summary

Problems solved by technology

However, it is known from actual operating experience that the concentration of sewage influent varies greatly under different climatic environments and time periods.

If the dissolved oxyge...

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