Boiler group scheduling optimization method and device

Abstract

The invention is suitable for the technical field of steam boiler scheduling analysis, and provides a boiler group scheduling optimization method and device, and the method comprises the steps: setting an optimization target of a boiler group according to the gas consumption of boilers in the boiler group in a specified time period; setting constraint conditions for optimizing the optimization target according to the steam quantity generated by the boilers in the boiler group in the specified time period; establishing a differential evolution algorithm model for optimizing the optimization target; and according to the constraint condition and a differential evolution algorithm model, at least calculating an optimization target associated parameter when the optimization target meets a preset condition to obtain a load distribution plan of the boiler group, and completing scheduling optimization of the boiler group. On the basis of the differential evolution algorithm, searching and optimizing are carried out from the global level, intelligent load scheduling is achieved, unreasonable load distribution caused by subjective experience or mechanical operation of operators is avoided, and the group operation energy-saving potential caused by boiler individual differences is mined to the maximum extent.

Description

technical field [0001] The invention belongs to the technical field of steam boiler scheduling analysis, and in particular relates to a boiler group scheduling optimization method and device. Background technique [0002] With the development of industrial concentration areas and industrial parks, the demand for industrial steam and central heating continues to increase, and central heating energy stations equipped with multiple gas-fired steam boilers continue to appear. For boiler groups with multiple steam boilers, how to reasonably schedule them, and to achieve the lowest energy consumption, highest efficiency, and lowest cost under the condition of meeting the steam load of users is a key issue. Optimal scheduling is a key issue faced by distributed energy. Frequent fluctuations in user load and a large number of energy supply equipment will lead to insufficient rationality of the scheduling method based on the subjective experience of personnel, and the energy consumpt...

AI Technical Summary

Problems solved by technology

For boiler groups with multiple steam boilers, how to reasonably schedule them, and to achieve the lowest energy consumption, highest efficiency, and lowest cost under the condition of meeting the steam load of users is a key issue. Optimal scheduling is a key issue faced by distributed energy. Frequent fluctuations in user load and a large number of energy supply equipment will lead to insufficient rationality of the scheduling method based on the subjective experience of personnel, and cannot realize the consumption reduction potential of the energy supply group

[0003] At present, there are few researches on boiler group scheduling optimization. On-site operators mostly schedule and distribute boiler loads based on personal subjective experience, or use mechanical fixed-value scheduling methods, such as distributing the total load to each boiler equally, or Some boilers are artificially designated as peak-shaving boilers, and the load changes are all borne by the peak-shaving boilers, which often cannot achieve the optimal scheduling state, so that the energy-saving potential of group operation cannot be exerted

Images