Progressive learning grid regulation and control method based on learning theory

Abstract

The invention discloses a progressive learning grid regulation and control method based on a learning theory. The method comprises the following steps: 1, subjecting the operation state of a grid to panorama observation; 2, constructing a grid equivalence analysis model; 3, establishing a progressive learning grid regulation and control model: based on the constructed grid equivalent analysis model, establishing a self-learning, space-time rolling and associated control mechanism, and establishing the progressive learning grid regulation and control model by using an extreme learning mechanism theory; and 4 establishing a progressive learning time-space association grid regulation and control strategy system, wherein a learning theory runs through the system and the system consists of space coordination and time coordination. The progressive learning grid regulation and control method is compatible with a traditional power grid regulation and control method, and can be improved continuously in the progressive learning, embodies the intelligence, and provides a new useful reference for the regulation and control of a power grid.

Description

technical field [0001] The invention relates to the technical field of power grids, in particular to a progressive learning power grid control method based on learning theory. Background technique [0002] A large amount of conventional fossil energy is consumed, and the greenhouse effect and smog caused by carbon emissions have attracted increasing attention. In recent years, environmental pollution has continued to intensify, which has accelerated people's search for renewable energy to replace conventional energy. In order to improve the environment, attention has been paid to the development of renewable resources, which are integrated into the grid in various ways such as distribution or concentration, causing the grid structure to change quietly. Due to the obvious intermittency, volatility and Randomness and other characteristics have caused a large number of wind and solar curtailment, and have threatened and challenged the existing power grid regulation methods. Th...

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Most of the above are to increase the capacity of the grid to receive wind power by increasin

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