Electric energy quality steady-state index prediction method based on chaos theory

Abstract

The invention relates to an electric energy quality steady-state index prediction method based on a chaos theory. The method comprises the following steps that: firstly, collecting electric energy quality steady-state index data; preprocessing collected electric energy quality steady-state index historical monitoring data, and storing processed data in a database after data is normalized, wherein preprocessing comprises denoising and missing value processing; according to the chaos theory, adopting a C-C method to solve optimal time delay Td and an optimal embedded dimension md for processed electric energy quality steady-state index time data, and carrying out phase space reconstruction to obtain one group of new multidimensional data space; on the basis of a least square support vector machine model, training the reconstructed data space to obtain an optimal prediction model; and utilizing the trained least square support vector machine model to predict the electric energy quality steady-state index to obtain prediction output. By use of the method, the problems that existing electric energy quality steady-state index prediction accuracy is low and the like are solved.

Description

technical field [0001] The invention relates to a power quality monitoring and prediction technology, in particular to a power quality steady-state index prediction method based on chaos theory. Background technique [0002] Power quality not only affects the safety, stability and economic operation of the power grid, but also directly affects the normal operation of the user-side electrical equipment. [0003] Steady-state power quality problems include voltage deviation, frequency deviation, three-phase unbalance, harmonics, voltage fluctuation and flicker, etc. Voltage deviation will obviously affect the stable operation of the power grid. High voltage will damage the insulation equipment. Low voltage will cause the motor speed to decrease and seriously affect product quality. Major accidents such as severe cracks; three-phase imbalance will increase power loss, reduce motor efficiency, and affect the safe operation of electrical equipment; harmonics will cause additiona...

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Problems solved by technology

[0006] The present invention aims at the problems of high prediction complexity and low precision generally existing in the prediction algorithms of the existing electric energy quality steady-state indexes, and proposes a prediction method of electric energy quality steady-state indexes based on chaos theory, which solves the problems of the existing electric energy quality steady-state index prediction methods. The prediction accuracy of state indicators is not high

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