Intelligent analysis auxiliary method for power wheeling of distribution network

Abstract

An intelligent analysis auxiliary method for power wheeling of a distribution network comprises the following steps of: collecting telemetering, remote signalling and remote control information of a distribution network when a fault occurs; obtaining state information of distribution network equipment according to the telemetering, remote signalling and remote control information of the distribution network, mapping the state information to a topological graph of the distribution network to construct a power wheeling analysis model, and visualizing the power wheeling analysis model; constructing an expert database, training a neural network, and inputting the visualized power wheeling analysis model into the neural network to obtain a subjective optimal power wheeling path; performing on-off control on various distribution network equipment combinations in the power wheeling analysis model to obtain a plurality of initial power wheeling paths; optimizing the initial power wheeling paths by adopting a grey wolf algorithm, and obtaining an objective optimal power wheeling path; and obtaining a final optimal power wheeling path according to the subjective optimal power wheeling path and the objective optimal power wheeling path. A distribution network switch and a transformer are controlled according to the final optimal power wheeling path, thereby realizing rapid adjustment of abnormal states such as overload and low voltage of the distribution network, rapid isolation of a short-circuit fault state and power wheeling adjustment.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to an auxiliary method for intelligent analysis of distribution network transfer. Background technique [0002] With the continuous development of intelligence, vigorous investment in the construction of considerable, measurable, and controllable intelligent distribution network projects is also proceeding rapidly, but the application of distribution network automation is relatively slow. Due to the weak operating foundation in some distribution networks, It is difficult for the distribution automation system to directly enter the centralized control mode, and it is also difficult to fully realize the local self-healing contact function. After the line trips, it often relies on reclosing and distribution network automation logic to remedy. The load after the fault section cannot be restored quickly, and dispatchers are required The load in the non-faulty area can be restored...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of intelligence, vigorous investment in the construction of considerable, measurable, and controllable intelligent distribution network projects is also proceeding rapidly, but the application of distribution network automation is relatively slow. Due to the weak operating foundation in some distribution networks, It is difficult for the distribution automation system to directly enter the centralized control mode, and it is also difficult to fully realize the local self-healing contact function. After the line trips, it often relies on reclosing and distribution network automation logic to remedy. The load after the fault section cannot be restored quickly, and dispatchers are required The load in the non-faulty area can be restored only after the judgment is made by manually collecting information. The restoration of power is relatively slow and cannot meet the power supply reliability requirements of important sensitive loads.

[0003] For the distribution network, there are multiple transmission lines. When one of the transmission lines fails, it is necessary to supply power to the load on the line through transfer to ensure the normal power consumption of the load. Most of the staff turn on and off the switches at different positions according to their own experience to realize the transfer, but the transfer route selected by the staff based on experience is relatively subjective, and it cannot be guaranteed that the selected transfer route is the best. The optimal path may easily lead to fluctuations in power transmission on other transmission lines, and even cause power outages

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