Intelligent and optimized distribution transformer outage research and judgment system

Abstract

An intelligent and optimized distribution transformer outage research and judgment system includes an intelligent distribution transformer shutdown system, a production management system, a distribution automation system, an intelligent dispatching management system, an energy management system, a power consumption information acquisition system, and a low-voltage switch state monitoring system. Effective information of multi-source data is acquired from the energy management system, the intelligent dispatching management system, the production management system, a power dispatching assistant decision system and the power consumption information acquisition system. Abnormal outage events are screened and discriminated using the big data technology. Outage events are classified through a distribution transformer outage type mathematical model. Corresponding outage work orders and repair strategies are pushed for different types of distribution transformer shutdown events. Thus, the outage time is reduced, and users are more satisfied with electricity.

Description

technical field [0001] The invention relates to an intelligent optimized distribution transformer power outage research and judgment system, which belongs to the technical field of power distribution operation and maintenance. Background technique [0002] As the power supply terminal equipment of the power system, the distribution transformer plays a vital role in the transmission and distribution of electric energy, providing users with available electric energy directly. If the distribution transformer has a power outage, it will interrupt the power supply of all users in the station area. At present, the distribution transformer power outage event comes from the marketing professional power consumption information collection system. Power-off voltage limit. For example, the default setting value of power-off event is 60% of the reference voltage, and the default setting value of power-on event is 80% of the reference voltage. If the collected terminal voltage meets the l...

AI Technical Summary

Problems solved by technology

According to statistics, there were 294,499 distribution transformer outage events pushed by a company in a certain year, of which 132,267 were blackout events without power transmission events, and 44,674 were power outage events without power transmission events. The accuracy was only 60.08%, which is serious. Affecting the push quality and efficiency of active repair work orders for distribution transformer outages

[0003] Since the voltage and current measured by the concentrator used in the mining system are all on the incoming line side of the JP cabinet, if the low-voltage switch trips and the 10kV line is not powered off, the voltage collected by the concentrator will not be able to trigger the concentrator to generate a terminal power failure event due to normal In turn, the monitoring master station cannot know the power outage event in the station area, which affects the power consumption of users

[0004] Therefore, it is necessary to study the accuracy and timeliness of the above-mentioned distribution transformer outage research and judgment, provide an efficient and accurate distribution transformer outage research and judgment system, and put forward the corresponding operation and maintenance key points in combination with the actual situation

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