Equivalent salt deposit density (ESDD) prediction and early warning system for power insulator surface contaminant

Abstract

The invention discloses an equivalent salt deposit density (ESDD) prediction and early warning system for a power insulator surface contaminant, which comprises four function units of a genetic algorithm training unit, a BP (Back Propagation) neural network training unit, a genetic BP neural network predication unit and an early warning unit. The genetic algorithm is good at global search, the BP neural network is good at local search, and thus, when the genetic algorithm and the BP algorithm are combined, the prediction accuracy can be improved, and the algorithm convergence rate is improved. The genetic algorithm firstly optimizes the initial weight of the neural network, good search space is positioned, and the BP algorithm is then adopted to search the optimal value in the small space. The application conditions are wide, the system can be applied to insulators of any types and is not influenced by different contaminant accommodation features due to different insulator types, and the prediction method and the early warning system can realize insulator ESDD prediction, and give contaminant flashover and early warning signals.

Description

technical field [0001] The invention relates to the technical field of insulator surface pollution early warning technology, in particular to an equivalent salt density prediction and early warning system for dirt on the surface of electric insulators. Background technique [0002] Insulators under normal working voltage, due to the accumulation of dirt on the surface, are prone to pollution flashover accidents under the influence of rainy, heavy fog and other bad weather, and pollution flashover accidents will pose a serious threat to the safe and stable operation of the power system. Therefore, it is very necessary to predict the pollution degree of insulators on transmission lines in order to prevent pollution flashover accidents in time. Usually, people use Equivalent Salt Deposit Density (Equivalent Salt Deposit Density, ESDD), referred to as Equivalent Salt Density to evaluate the pollution degree of insulator surface. [0003] In recent years, neural network has beco...

AI Technical Summary

Problems solved by technology

However, due to its slow convergence speed and easy to fall into local minimum points, the prediction accuracy of ordinary neural networks is not high.

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