Electric dust removal system optimization control method based on hybrid model

Abstract

The invention relates to an electric dust removal system optimization control method based on a hybrid model. The optimization control method comprises a modeling method mixing electric dust removal system mechanism and data, an electric dust removal system variable working condition energy consumption evaluation method and a system operation multi-parameter optimization method based on a group intelligent algorithm; wherein through the modeling method mixing electric dust removal system mechanism and data, the particulate matter removal mechanism of the electric dust removal system is organically combined with the actual operation data, so that the accurate prediction of the outlet concentration under the variable working condition of the electric dust removal system is realized; throughthe electric dust removal system variable working condition energy consumption evaluation method, the change rule of system energy consumption under different parameters is obtained; and through the system operation multi-parameter optimization method based on a group intelligent algorithm, the methods are combined to obtain the optimal energy injection strategy under the specific emission targetand the variable operation working condition. According to the method, the operation strategy of the electric dust removal system is innovated from the theory, the framework and the algorithm layer, the problems of low model precision, even model mismatch, large energy consumption evaluation error, difficulty in operation parameter optimization and the like brought by the variable working condition, the multi-electric field, the multi-pole matching mode and the like are solved, so that reliable energy-saving and efficient removal of particulate matters in industrial flue gas is realized.

Description

technical field [0001] The invention belongs to the technical field of energy saving and environmental protection, and in particular relates to an optimal control method for an electric dust removal system based on a hybrid model. Background technique [0002] my country's coal-based energy structure is difficult to change fundamentally in the short term. As one of the mainstream technologies for removing particulate matter from coal-fired flue gas, the electrostatic precipitator system uses a high-voltage DC power supply to form a high-voltage electrostatic field between the discharge electrode and the dust collector. The particles are charged in the electrostatic field, and gain the approaching speed along the direction of the electric field, and then are collected by the dust collector. Since the industrial electrostatic precipitator system mostly consists of multiple channels connected in parallel, and each channel is composed of multiple electric fields in series, and ea...

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Problems solved by technology

[0008] The present invention aims at the problems of high energy consumption in operation of the existing electrostatic precipitator system, large fluctuations in outlet concentration, and difficulty in tapping the potential of energy saving and consumption reduction in the existing operating mode, and proposes an optimal control method for the electric precipitator system based on a hybrid model

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