CN107506849A - A kind of intelligent optimization distribution transforming, which has a power failure, studies and judges system - Google Patents

Abstract

An intelligent optimized distribution transformer outage research and judgment system includes an intelligent distribution transformer outage system, a production management system, a distribution automation system, an intelligent dispatch management system, an energy management system, an electricity consumption information collection system, and a low-voltage switch state monitoring system. The system obtains effective multi-source data information from the energy management system, intelligent dispatch management system, production management system, power dispatch auxiliary decision-making system and power consumption information collection system, uses big data technology to The mathematical model of transformer outage type classifies power outage events, and pushes corresponding outage work orders and emergency repair strategies for different types of distribution transformer outage events, reducing power outage time and improving user satisfaction with power consumption.

Description

An Intelligent Optimization Distribution Transformer Outage Research and Judgment System

technical field

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

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 limit value of power-off event, a terminal power-off event will occur and Actively upload power outage events to the mining system. 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. Affect the push quality and efficiency of active repair work orders for distribution transformer outage.

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 be informed of the power outage event in the station area, which affects the power consumption of users.

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.

Contents of the invention

The purpose of the present invention is to accurately determine the type of power outage and the cause of the outage of the distribution transformer, provide corresponding operation and maintenance suggestions according to the type and cause of the power outage, reduce the probability of power consumption and complaints caused by the outage of the distribution transformer, and improve the power distribution of the distribution transformer. Actively repair the quality and efficiency, and provide an intelligent optimization distribution transformer power outage research and judgment system.

The technical solution for realizing the present invention is as follows, an intelligent optimized distribution transformer power outage research and judgment system, the system consists of energy management system (EMS), intelligent dispatch management system (OMS), production management system (PMS), power dispatch auxiliary decision-making system ( EMS/OMS), power consumption information collection system and other multi-source data effective information, use big data technology to screen and screen abnormal power outage events, classify power outage events through intelligent distribution transformer outage system, and use distribution transformer outage system to classify outage events. The mathematical model of transformer outage type classifies power outage events, and pushes corresponding outage work orders and emergency repair strategies for different types of distribution transformer outage events, reducing power outage time and improving user satisfaction with power consumption.

An intelligent optimized distribution transformer outage research and judgment system, including an intelligent distribution transformer outage system, a production management system, a power distribution automation system, an intelligent dispatch management system, an energy management system, an electricity consumption information The substation outage system is connected with the production management system, power distribution automation system, intelligent dispatch management system, energy management system, power consumption information collection system and low-voltage switch status monitoring system through the data interaction bus; the intelligent distribution substation outage system pushes the Types of outages and emergency repair strategies.

The PMS system is a production management system in the power system, including basic ledgers, defects, tests and other data of power transmission and distribution power equipment, and provides static type information of the equipment.

EMS/OMS is an auxiliary decision-making system for electric power dispatching, including real-time operation data of substation switches, transformers, isolation switches, etc., and providing dynamic information of equipment.

The effective information of the multi-source data includes obtaining substation-medium-voltage line-distribution transformer-low-voltage line-smart meter power supply network topology diagram from the PMS system; obtaining feeder switch operating current, switch displacement information, and power outage plan from the EMS/OMS system (including planning and provisional); obtain segmental, branch, branch switch displacement, voltage, and current information from the distribution automation system (DAS); obtain outage events in the station area and user power consumption information from the power collection system; The low-voltage switch online monitoring system can obtain the displacement and tripping reasons of the low-voltage switch in the station area; obtain information such as the station area, 10kV line, low-voltage branch box and power supply range from the GIS system.

The distribution transformer outage type mathematical model is constructed based on the affiliation relationship of a single station area and the domino effect of multiple station areas. The affiliation relationship judges low-voltage faults, distribution transformer or fuse faults, and the domino effect judges branch line, main line, and superior power supply faults .

The intelligent distribution transformer outage system includes four parts: outage event storage part, outage type algorithm part, emergency repair strategy algorithm and human-computer interaction interface. It is determined whether the voltage on the incoming line side reaches the threshold set by the power outage event (three-phase voltage is lower than 120V); the outage type algorithm partly judges the power outage type in the station area based on the power outage information of the distribution transformer and combined with the information of PMS, OMS, DAS and other related systems; The emergency repair strategy algorithm part combines the types of power outages of distribution transformers, and pushes different types of emergency repair strategies, such as main lines, branch lines, fuses, and low-voltage lines, as well as the required emergency repair materials and tools; the human-computer interaction part completes the push, order receipt, and emergency repair of emergency repair work orders , receipt, query and other functions, operation and maintenance personnel can conduct statistical analysis based on historical relevant information, and give reasonable requirements for renovation projects.

The emergency repair strategy algorithm is an auxiliary measure based on the type of power failure. According to the main line, branch line, fuse, and low-voltage line fault type, the materials and tools required for emergency repair are pushed, including wire type, wire cross-sectional area, wire clamp, and high-voltage fuse. device.

The specific implementation steps of the intelligent distribution transformer outage research and judgment system are as follows:

(1) Receive and verify the authenticity of the distribution transformer outage event. First, the system screens the outage events with time stamps to eliminate outage events with abnormal duration; secondly, the system issues call-to-test commands through wireless communication, optical fiber, and power carrier communication, and collects the current on the incoming line side of the station area again , voltage, etc., to determine whether the value exceeds the preset limit (less than 60% of the reference voltage), to avoid abnormal power outages caused by system voltage fluctuations or terminal failures, and then determine whether to enter the power outage information database.

(2) Judgment is the outage type of the superior power supply. By interacting with related systems, the system obtains effective information such as main line tripping, branch line tripping, current mutation, planned maintenance or work ticket information, or accident emergency repair order, and judges the type of distribution transformer outage caused by the upper power supply and main line failure, and will power outage The type is pushed to the customer service platform.

(3) Determine the type of branch line failure outage. The system obtains the topology diagram of the power supply network of the station area and branch line through the PMS system, and combined with the abnormal data of the distribution transformer outage, comprehensively judges whether it is a branch line fault or a single station area fault.

(4) Determine the outage type of low-voltage equipment failure. The system obtains the low-voltage switch displacement information and the side voltage value in the station area through the low-voltage switch online monitoring system, and comprehensively judges the type of low-voltage equipment failure and power outage.

(5) Push the emergency repair strategy. Push different repair strategies for different types of outages. For example, if the push is outage information caused by a low-voltage switch trip, you should check the cause of the outage, and push the corresponding emergency repair strategy according to different trip reasons. If it involves residual current action, focus on searching Problems such as single-phase grounding, disconnection and user equipment of the line.

The beneficial effect of the present invention is that the system integrates the effective information of related systems, does not need to add any hardware device in the power distribution network, the algorithm is simple, and the equipment investment is greatly reduced; the arranged intelligent distribution transformer outage system can effectively improve the initiative The quality of emergency repair work orders can reduce the repeated filling of orders by operation and maintenance personnel and improve work efficiency; the work orders pushed by the system are clearly targeted, and the corresponding emergency repair strategies can be pushed according to different types of work orders to reduce the time for fault finding; according to the type of power outage And customer information, push the corresponding power outage information and recovery time, which can improve user satisfaction.

The method of the present invention is suitable for the precise research and judgment of the outage type of the 10kV distribution transformer and the optimization of key emergency repair strategies.

Description of drawings

Fig. 1 is a system framework diagram of the present invention; Fig. 2 is a flow chart of a distribution transformer outage research and judgment algorithm;

Figure 3 is a comparison diagram of the accuracy of distribution transformer outage after system optimization.

detailed description

The specific embodiment of the present invention is shown in the figure.

Figure 1 shows an intelligent optimized distribution transformer outage research and judgment system in this embodiment, including an intelligent distribution transformer outage system, a production management system, a distribution automation system, an intelligent dispatch management system, an energy management system, an electricity consumption information collection system, and a low-voltage switch Condition monitoring system; the intelligent distribution transformer outage system is connected with the production management system, distribution automation system, intelligent dispatch management system, energy management system, power consumption information collection system and low-voltage switch state monitoring system through the data interaction bus; the intelligent distribution transformer outage system The operation system proposes to push outage types and emergency repair strategies.

Figure 2 is a flow chart of the distribution transformer outage research and judgment algorithm.

As shown in Figure 2, the specific implementation steps of the intelligent distribution transformer outage research and judgment system are as follows:

(1) Receive and verify the authenticity of the distribution transformer outage event. First, the system screens the outage events with time stamps to eliminate outage events with abnormal duration; secondly, the system issues call-to-test commands through wireless communication, optical fiber, and power carrier communication, and collects the current on the incoming line side of the station area again , voltage, etc., to determine whether the value exceeds the preset limit (less than 60% of the reference voltage), to avoid abnormal power outages caused by system voltage fluctuations or terminal failures, and then determine whether to enter the power outage information database.

(2) Judgment is the outage type of the superior power supply. By interacting with related systems, the system obtains effective information such as main line tripping, branch line tripping, current mutation, planned maintenance or work ticket information, or accident emergency repair order, and determines the type of distribution transformer outage caused by superior power supply and main line failure: within 30 minutes Whether there is a branch line tripping, whether there is an EMS main line tripping within 30 minutes, whether there is an OMS planned maintenance for the main line of the distribution transformer one hour before and after the outage of the distribution transformer, whether there is an EMS electro-rheological overrun within 30 minutes, and whether the main line of the distribution transformer is in the distribution transformer Whether there is an outage event released by marketing one hour before and after the outage; and push the type of outage to the customer service platform.

(3) Determine the type of branch line failure outage. The system obtains the topology diagram of the power supply network of the station area and branch line through the PMS system, and combined with the abnormal data of the distribution transformer outage, comprehensively judges whether it is a branch line fault or a single station area fault.

(4) Determine the outage type of low-voltage equipment failure. The system obtains the low-voltage switch displacement information and the side voltage value in the station area through the low-voltage switch online monitoring system, and comprehensively judges the type of low-voltage equipment failure and power outage.

(5) Push the emergency repair strategy. Push different emergency repair strategies for different types of outages. For example, if you push outage information caused by a low-voltage switch trip, you should first check the cause of the outage. The causes of low-voltage failures include 00010-residual current, 00100-missing zero, 00101-overload, and 00110 -short circuit, 00111-phase loss, 01000-undervoltage, 01001-overvoltage, 01010-grounding, 01110-button test 01111-blocking, 10010-manual, 10000-transformer failure, 10001-closing failure, 10110-instantaneous , push the corresponding emergency repair strategy according to different trip reasons, such as 00010-residual current action, focus on finding problems such as single-phase grounding of the line, disconnection, and user equipment.

Figure 3 is a comparison diagram of the accuracy of distribution transformer outage after system optimization. The following table is the statistical table before and after system optimization.

It can be seen from Figure 3 that the accuracy rate of outage of distribution transformer before optimization is less than 40%; the accuracy rate of outage of distribution transformer after optimization is more than 90%.

Claims (9)

1. An intelligent optimized distribution transformer power outage research and judgment system, characterized in that the system obtains effective multi-source data information from an energy management system, an intelligent dispatch management system, a production management system, an auxiliary decision-making system for power dispatch and an electricity consumption information collection system , use big data technology to screen and identify abnormal power outage events, classify power outage events through distribution transformer outage type mathematical models, and push corresponding outage work orders and emergency repair strategies for different types of distribution transformer outage events, Reduce power outage time and improve user satisfaction with electricity. 2. An intelligent optimized distribution transformer outage research and judgment system according to claim 1, characterized in that the system includes an intelligent distribution transformer outage system, a production management system, a distribution automation system, an intelligent dispatch management system, and an energy management system system, power consumption information collection system and low-voltage switch status monitoring system; the intelligent distribution transformer outage system communicates with the production management system, power distribution automation system, intelligent dispatch management system, energy management system, power consumption information collection system and low-voltage The switch status monitoring system is connected; the intelligent distribution transformer outage system proposes to push the power outage type and emergency repair strategy. 3. An intelligent optimized distribution transformer power outage research and judgment system according to claim 1, characterized in that the production management system includes basic ledgers, defects, and test data of power transmission and distribution power equipment, and provides static types of equipment information. 4. An intelligent optimization distribution transformer power outage research and judgment system according to claim 1, characterized in that, the power dispatching auxiliary decision-making system includes real-time operation data of substation switches, transformers, and isolation switches, and provides dynamic information of equipment . 5. An intelligent optimized distribution transformer power outage research and judgment system according to claim 1, wherein the effective information of the multi-source data includes substation-medium-voltage line-distribution transformer-low-voltage line-smart meter obtained from the production management system Power supply network topology diagram; obtain feeder switch operating current, switch displacement information, and power outage plan from the power dispatching auxiliary decision-making system; obtain segment, branch, branch switch displacement, voltage, and current information from the power distribution automation system; The acquisition system obtains outage events and user electricity consumption information in the station area; obtains the displacement and tripping reasons of the low-voltage switch in the station area from the low-voltage switch online monitoring system; obtains information about the station area, 10kV line, low-voltage branch box and power supply range from the GIS system . 6. A kind of intelligent optimization distribution transformer outage research and judgment system according to claim 1, characterized in that, the mathematical model of the distribution transformer outage type is constructed based on the affiliation relationship of a single station area and the domino effect of multiple station areas, The subordination relationship judges the low-voltage fault, the distribution transformer or the fuse fault, and the domino effect judges the fault of the branch line, the main line, and the superior power supply. 7. A kind of intelligent optimization distribution transformer outage research and judgment system according to claim 1, characterized in that, the intelligent distribution transformer outage system includes outage event storage part, outage type algorithm part, emergency repair strategy algorithm part and There are three parts in the human-computer interaction interface. The storage part of the outage event is determined by the power consumption information collection system according to whether the incoming line side voltage of the station area reaches the threshold set by the power outage event; the outage type algorithm part is based on the power outage information of the distribution transformer, combined with the PMS , OMS, and DAS-related system information to comprehensively judge the type of power outage in the station area; the emergency repair strategy algorithm part combines the type of distribution transformer outage, and pushes different types of emergency repair strategies, required emergency repair materials and tools for main lines, branch lines, fuses, and low-voltage lines; The computer interaction part completes the push, order receiving, rush repair, receipt, and query functions of emergency repair work orders. Operation and maintenance personnel can conduct statistical analysis based on historical relevant information and give reasonable requirements for renovation projects. 8. A kind of intelligent optimization distribution transformer power outage research and judgment system according to claim 7, characterized in that, the described emergency repair strategy algorithm is an auxiliary measure based on the power outage type, according to the main line, branch line, fuse, low-voltage line fault type, Push the materials and tools needed for emergency repair, including wire type, wire cross-sectional area, wire clips, and high-voltage fuses. 9. An intelligent optimized distribution transformer power failure research and judgment system according to claim 1, characterized in that, the specific implementation steps of the intelligent distribution transformer power failure research and judgment system are as follows: (1) Receive and verify the authenticity of distribution transformer outage events: the system first screens outage events with time stamps, and eliminates outage events with abnormal duration; secondly, the system sends out the outage events through wireless communication, optical fiber, and power carrier communication Call the test command to collect the current and voltage of the incoming line side of the station area again; judge whether the value exceeds the preset limit, that is, lower than 60% of the reference voltage; avoid abnormal power outages caused by system voltage fluctuations or terminal failures, Then judge whether to enter the blackout information database; (2) Judgment is the type of outage of the superior power supply: the system interacts with the related system to obtain the main line trip, branch line trip, current mutation, planned maintenance or work ticket information or effective information of the accident emergency repair order, and judges the superior power supply and the main line failure. The distribution transformer outage type, and push the power outage type to the customer service platform; (3) Judging the outage type of the branch line failure: the system obtains the topology map of the power supply network of the station area and the branch line through the PMS system, combined with the abnormal data of the distribution transformer outage, comprehensively judges whether it is a branch line failure or a single station area failure; (4) Judging the type of low-voltage equipment failure and outage: the system obtains the low-voltage switch displacement information and the side voltage value in the station area through the low-voltage switch online monitoring system, and comprehensively determines the type of low-voltage equipment failure and outage; (5) Push emergency repair strategy: Push different emergency repair strategies for different types of outages; push outage information caused by low-voltage switch trips; check the cause of outages, and push corresponding emergency repair strategies according to different tripping reasons, involving remaining For current action, focus on finding the single-phase grounding of the line, disconnection and user equipment problems.