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

An immune genetic algorithm and local search technology, which is applied in the field of energy-saving optimization of sewage treatment, can solve the problems of overall optimization, large changes in influent concentration, unrealizable water discharge and energy consumption of the sewage system, and achieve the effect of minimizing energy consumption costs

CN105843072AActive Publication Date: 2016-08-10SOUTH CHINA UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2016-08-10

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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.
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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...

Examples

Embodiment

[0060] Please see attached figure 1 , with figure 1 It is a flow chart of the energy-saving optimization method for sewage treatment based on the improved local search based on the immune genetic algorithm in this embodiment. The present invention adopts the actual operation measurement data based on the International Water Association and COST, and provides the water inflow data files of three kinds of climates for inflow. The file contains 14 days of water inflow data, and the sampling interval is 15 minutes. These data are all measured from real data. Corresponding to drought days, rainy days and rainstorm days, the corresponding changes in sewage inflow flow and component concentration. The specific process is as follows:

[0061] Step S1, designing the dissolved oxygen concentration of the aeration tank and the proportional-integral controller of the nitrate nitrogen in the anoxic tank;

[0062] The default PI controller in the conventional control method of the BSM1 ...