High efficiency power distribution network fault first-aid repair system and method based on data analysis

Abstract

The invention provides a high efficiency power distribution network fault first-aid repair system and method based on data analysis; the system comprises the following units: a real time analysis unit used for real time displaying fault density, power off scope, line and equipment heavy overload conditions, and visualization monitoring first-aid repair vehicle and process; a first-aid repair analysis unit used for parsing fault equipment, fault reason and work intensity; a first-aid repair prediction unit used for parsing and handling power distribution network fault rules; a quality service manage unit used for parsing user complaint data and providing Internet electric power services; and a decision unit used for integrating fault data so as to provide operational auxiliary decision information. The method can collect and sort power distribution network first-aid repair related data, and can build a data-based analysis platform, thus realizing power distribution network first-aid repair streamlining, gridding and integrated management, and providing basis data and effective support for distribution network equipment management, quality service management and distribution network planning construction works.

Description

technical field [0001] The invention relates to the field of emergency repair of distribution network faults, in particular to a high-efficiency distribution network fault repair system and method based on data analysis. Background technique [0002] In recent years, the public has higher and higher requirements and expectations for the power supply services of power supply enterprises, and the contradiction between supply and demand has become increasingly prominent. Among them, the level of power guarantee and power supply service level are the most concerned, most direct and most realistic interests of the general public. In power supply enterprises, the bridgehead for tackling the level of power supply guarantee, power supply service level and customer satisfaction is the emergency repair business of distribution network, which is related to the fundamental interests of millions of households and customers in urban areas and suburban areas of various cities. The company ...

AI Technical Summary

Problems solved by technology

[0004] 1. At present, the emergency repair work of the distribution network adopts the working method of dispatching 95558 orders, one order dispatching, and keeping the paper records of the emergency repair records. Real-time and predictive analysis and statistics cannot effectively grasp the status and laws of distribution network faults, and there are problems of passive emergency repairs and low efficiency, which may easily lead to timeouts for emergency repairs, low repair quality (high repair rate), low repair efficiency, and low power supply reliability. Some service issues that directly affect customer satisfaction

[0005] 2. At present, there is a problem that the emergency repair work of the distribution network is not well targeted. Only relying on the information provided by 95598 and the historical experience of emergency repair personnel, there is no relationship between the type and amount of faults and various related factors (temperature, load, wind, time, latitude and longitude, etc.) It is impossible to accurately grasp the types and causes of on-site failures under different circumstances, and it is impossible to predict and prepare emergency repair tools and materials before special circumstances (peak summer, stormy weather, etc.), or to send additional manpower, vehicles, and tools. Appliances, etc., or even targeted personnel training for certain types of faults that may break out in a large area in advance, etc., may easily lead to long repair times and rush repairs due to insufficient personnel and equipment, incomplete spare parts and materials, and unreasonable stations. The personnel are exhausted, and the power supply cannot be restored for a long time, which leads to a decrease in customer satisfaction and even complaints

[0006] 3. At present, after the emergency repair work is completed, only the receipt is completed in the 95598 system. There is a lack of collation and analysis of the emergency repair data, and it is impossible to summarize and provide the failure rate of stations / lines in the urban area at the same time, 10KV repeated tripping lines, screening of abnormal power consumption areas, The data directly related to the reliability and quality of the user's power supply, such as the analysis of user complaints and the analysis of multiple power outages at the opening and closing stations, cannot grasp the user's power usage in a timely manner, and it is easy to cause power outages due to normal reasons such as failure, maintenance, renovation and upgrading, resulting in short-term "Frequent power outages" seriously affect user experience and cause unnecessary complaints

[0007] 4. At present, emergency repair stations only rely on experience summaries and administrative regions to divide and arrange, which lack scientific basis, and are relatively fixed and rigid. They cannot be dynamically arranged according to the trend of fault volume, so as to maximize the efficiency of fault handling, reduce unnecessary running, and greatly reduce user power outage time

[0008] 5. At present, besides distribution network failure repair work orders, the current distribution network emergency repair work also involves marketing measurement work orders for low-voltage metering devices, power quality, and burning household appliances. Effective marketing analysis and communication cannot enable the company to quickly understand the user's electricity consumption situation and eliminate all hidden dangers in a timely manner, resulting in dissatisfaction among users or damage to the company's interests due to some small marketing issues

[0009] 6. At present, the management decisions related to the emergency repair business of the distribution network are all based on human speculation based on historical experience, weather and other factors, lacking scientific and accurate basis, and the decision-making management is often relatively broad, unable to refine to specific tasks, and there are deviations in implementation. The repair efficiency is not high, and the customer experience cannot reach a high level

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