Online prediction method of electric transmission line dynamic capacity

Abstract

The invention provides an online prediction method of electric transmission line dynamic capacity. The online prediction method of the electric transmission line dynamic capacity comprises: establishing a first radial-basis function (RBF) neural network, and predicting a first input parameter online to obtain a first numerical prediction; establishing a second RBF neural network, and predicting a second input parameter online to obtain a second numerical prediction; obtaining conducting wire temperature data and real time current; and predicting the dynamic capacity of an electric transmission line online through the first numerical prediction and the second numerical prediction, the conducting wire temperature data and the real time current according to the institute of electrical and electronic engineers (IEEE) 738 standard. The online prediction method of the electric transmission line dynamic capacity is suitable for online learning and prediction which are provided with different capacities in different seasons on the condition that the prior configuration parameters are not required to be changed. Further, the online prediction method of the electric transmission line dynamic capacity provides precious future short-term line capacity prediction information for dispatchers, offers an effective control means for intelligent scheduling of the power grid under the conditions of power shortage, load peak period, accident short-time overload operation, wind power access and the like, and plays an active role in improving the safety and the economical efficiency of an electric power system.

Description

Technical field [0001] The invention relates to a dynamic capacity increase technology of a power transmission line, in particular to an online prediction method of the dynamic capacity of a power transmission line. Background technique [0002] In recent years, with the sustained and rapid growth of social economy and rapid growth of electricity load, some lines are restricted by the thermal stability limit of transmission capacity, which is far from meeting the actual needs of the power grid, and the construction of new line corridors has huge investment and long construction period. Therefore, under the premise of ensuring system stability and equipment safety, real-time monitoring and analysis of the line operating environment and timely adjustment of the thermal stability limit of the transmission line can maximize the load capacity of the transmission line and reduce the investment in transmission equipment , Has a positive effect on meeting the rapid social and economic gr...

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the continuous and rapid growth of the social economy and the rapid growth of electricity load, some lines are restricted by the thermal stability limit of transmission capacity, which is far from meeting the actual needs of the power grid, and the construction of new line corridors requires huge investment and a long construction period.

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