Thermal power unit deep peak shaving coordinated control method based on self-optimizing dyadic expansion controller

Abstract

The invention discloses a thermal power unit deep peak shaving coordinated control method based on a self-optimizing dyadic expansion controller. The self-optimizing dyadic expansion controller includes front and rear dynamic matrixes, a diagonal control network and a self-optimizing module. The method is characterized in that approximate dyadic decomposition is carried out on a transfer functionmatrix of a controlled object at a specific frequency; and the controller designed based on the method has a simple structure and is easy to implement physically. The diagonal control network has a mode of PID, so that debugging is carried out well. The self-optimizing module adopts a standard particle swarm optimization algorithm and the front and rear dynamic matrixes and the diagonal control network are designed or modified regularly, so that the computing load is reduced, a phenomenon of controller parameter mismatching caused by the substantial changing of the object during the deep peakshaving process of the thermal power unit is avoided, and the deep peak shaving control precision and the economy of the thermal power unit are improved beneficially.

Description

technical field [0001] The invention belongs to the technical field of automatic control of deep peak regulation of thermal power units, and in particular relates to a coordinated control method for deep peak regulation of thermal power units based on a self-optimizing dyadic expansion controller. Background technique [0002] Facing the global energy shortage situation, various countries have taken active measures to give priority to the development of renewable resources such as wind energy. However, due to the defects of new energy sources, while the proportion of wind power continues to increase, it has created difficulties for power grid peak regulation. In order to solve the difficult problem of peak shaving, the peak shaving problem can be solved by building flexible and convenient peak shaving units, or by various new control technologies. [0003] At the same time, with the increase of the installed capacity of my country's electric power industry and the increase o...

AI Technical Summary

Problems solved by technology

[0003] At the same time, with the increase of the installed capacity of my country's electric power industry and the increase of the peak-to-valley load difference on the power consumption side, large thermal power units often undergo large load changes, resulting in significant changes in the control characteristics of the units during the load change process. The rated working condition of the unit is the operation and control system of the design object, which cannot adapt to the change of the object characteristics in the process of variable working conditions and the needs of safe and economical operation of the unit, especially the tracking of the load and main steam temperature to the set value is not satisfactory

[0004] Although the structure of the multivariable controller designed by the dyadic expansion method is simple, when it is applied to modern thermal power units, it is found that the dyadic expansion matrix of the object is complex, and the control network parameters are difficult to select, and they vary with the load of the unit.

Images