Transmission line dynamic capacity increase method based on environmental change probability model
A transmission line and probability model technology, applied in neural learning methods, biological neural network models, weather condition prediction, etc., can solve the problems of power failure, high implementation cost, and a large amount of manpower and material resources for installation, and achieve the effect of reducing costs.
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[0052] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.
[0053] The present invention is a method for dynamically increasing the capacity of transmission lines based on an environment change probability model, which specifically includes the following steps:
[0054] Step S1: Obtain meteorological information, mainly including ambient temperature and wind speed;
[0055] Step S2: Calculate the heat carrying capacity of the line according to IEEE 738-2006, which is proposed based on the heat balance equation, expressed as follows with mathematical functions:
[0056] W J +W S =W R +W F ;
[0057] where W J is the heating power of the wire resistance, W S is the heat absorption power of sunlight, W R is the radiation cooling power, W F is the convection cooling power;
[0058] Step S3: using the BP neural network model to predict the weather;
[0059] Step S4: Establish a probability mod...
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