Multiple-target operation optimizing and coordinating control method and device of garbage power generator

Abstract

The invention provides a multiple-target operation optimizing and coordinating control method and a device of a garbage power generator. The multiple-target operation optimizing and coordinating control method includes the following steps. Operational parameters are downloaded from a data communication system (DCS), data judged as reasonable based on a threshold value are transmitted to a database. In terms of environmental protection, economy and safety of the power generator, three models are respectively set up by means of a support vector machine and a fuzzy neural network. A modified strength PARETO genetic algorithm is used for comprehensively optimizing multiple targets and then optimum operation parameters under the present working condition are worked out. Operational staff can adjust operation of corresponding parts based on the optimum operation parameters. The device comprises a data collecting module, a data filtering module, a database module, a data modeling module, an optimizing module, a forecasting module, a remote monitoring module, a monitor, an alarming module and a manual alarming module. The multiple-target operation optimizing and coordinating control method and the device of the garbage power generator achieve multiple functions of real-time forecasting, offline simulation, dynamic optimizing and the like and have the advantages of being strong in adaptability, good in self-learning ability, high in fitting precision, obvious in optimizing effect and the like.

Description

technical field [0001] The invention relates to the research field of power plant operation optimization and control in the field of thermal engineering, in particular to a control method and device for multi-objective operation optimization and coordination of waste power plants. Background technique [0002] The current power station combustion optimization technology can be divided into three categories: the first category is to adjust the boiler combustion parameters through online detection of important parameters of boiler combustion and combined with the experience of operating personnel. This type of combustion optimization technology has long occupied a dominant position in China. The second type of combustion optimization technology is at the equipment level, through the modification of the burner, heating surface, etc. to realize the optimization of the combustion of the boiler. The third type of combustion optimization technology is based on DCS, through the use ...

AI Technical Summary

Problems solved by technology

Compared with coal combustion, waste combustion is a complex and changeable dynamic process. There are many coupling and competition relationships between economy, safety, and environmental protection. Traditional methods are difficult to obtain optimal results in this multi-objective operation requirement, and Due to the lack of learning ability, the adaptability to the dynamic change process of waste incineration power generation is not enough

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