A deep peak regulation control method for thermal power units

Abstract

The invention discloses a deep peak-shaving control method for thermal power units, wherein the self-optimizing dyadic expansion controller includes a front and rear dynamic matrix, a diagonal control network and a self-optimizing module, which is characterized in that the transfer function matrix of the controlled object Approximate dyadic decomposition at a specific frequency is carried out. The controller designed by this method has a simple structure and is easy to realize physically. The form of the diagonal control network is PID, which is helpful for debugging. The self-optimization module adopts the standard particle swarm algorithm to design or modify the dynamic matrix and diagonal control network before and after a fixed period, which can reduce the amount of calculation and overcome the controller parameter failure caused by the large change of the object in the process of deep peak regulation of the thermal power unit. It is helpful to improve the accuracy of deep peak shaving control and the economy of thermal power units.

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 deep peak regulation control method of thermal power units. 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 of the peak-to-valley load difference on the power consumption side, lar...

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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.

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