A power failure fault judgment method based on line topological relation

Abstract

This invention discloses a power outage fault judgment method based on line topology relationships, belonging to the technical field of power outage fault judgment based on line topology relationships. The technical problem to be solved is to provide an improvement to the power outage fault judgment method based on line topology relationships. The technical solution adopted to solve this problem is as follows: A multi-source information fault line judgment system is established; a power outage event information pool is established: after a power outage event to be judged is triggered, the specific control system sends the event information through a monitoring server to the information pool recorded by the power outage event database server, establishing a task for judging the power outage fault; after the task is established, power outage fault judgment analysis is performed according to the triggering conditions and external interfaces, and the specific control system feeds back the power outage information to the fault analysis server. The fault analysis server generates the power outage fault judgment analysis result and sends it to the information pool of the database server to improve the power outage event information; this invention is applied to power grid power outage fault judgment scenarios.

Description

Technical Field

[0001] This invention provides a method for determining power outage faults based on line topology relationships, belonging to the technical field of power outage fault determination based on line topology relationships. Background Technology

[0002] During power grid dispatch and operation, potential line hazards frequently occur. If these hazards are not repaired for a long time, they will turn into line faults. Severe faults can lead to large-scale power outages and damage to transmission and transformation equipment. Therefore, timely detection and assessment of potential line outage hazards are very important. Currently, the main methods for locating potential faults in the power grid include traveling wave method, impedance-based fault location, voltage drop-based method, knowledge-based method, and information integration method.

[0003] Because different business departments in the power distribution network have developed numerous business application systems based on their own needs, each application system provides information about power outages from different perspectives. For example, customers report power outages through the customer service management system, describing the power outages discovered on the customer side; the distribution automation system and dispatch automation system model the distribution network topology and main network topology, and obtain information about the status of feeder outlet switches and branch line switches, as well as related voltage and current information, through the data acquisition and monitoring system; the user information acquisition system is used to maintain the relationship between meters and customers, as well as the status and data of meters and meter boxes; the production management system can provide planned power outage information and equipment asset information in the distribution network. Since the control systems of each department and user end are set up independently, they cannot interact with each other, and information fusion cannot be performed when conducting comprehensive analysis of the power grid. This reduces the accuracy and speed of fault diagnosis, resulting in low fault troubleshooting efficiency, long power restoration waiting time, and seriously affecting the service quality of the power supply company. Summary of the Invention

[0004] In order to overcome the shortcomings of the prior art, the technical problem to be solved by the present invention is to provide an improvement on the power outage fault judgment method based on line topology.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a power outage fault judgment method based on line topology, comprising the following steps:

[0006] Step 1: Establish a multi-source information fault line diagnosis system:

[0007] Set up a many-to-many relationship between the feeder and the substation;

[0008] Set the relationship between the feeder and the feeder switch to a one-to-many relationship;

[0009] Set the relationship between the feeder and the branch lines to a one-to-many relationship;

[0010] Set the relationship between the branch line and the branch switch to a one-to-many relationship;

[0011] Set the relationship between the branch line and the distribution transformer to a one-to-many relationship;

[0012] Set the distribution transformer and meter to have a one-to-many relationship;

[0013] Set up a one-to-many relationship between customers and meters;

[0014] Based on the correlation between the above-mentioned multi-source data, it is possible to quickly locate faults in the distribution network by using the superior or neighboring information associated at the topological or management level when fault information is missing at certain locations.

[0015] Step 2: Establish a power outage event information pool:

[0016] Once a power outage event to be judged is triggered, the specific control system sends the event information to the information pool recorded by the power outage event database server through the monitoring server, thus establishing a task for judging the power outage fault.

[0017] After the task is established, a power outage fault judgment and analysis is performed based on the triggering conditions and external interfaces. The specific control system feeds back the power outage information to the fault analysis server. The fault analysis server generates the power outage fault judgment and analysis results and sends them to the information pool of the database server to improve the power outage event information.

[0018] Step 3: Establish the data relationship between the power outage event information pool and the corresponding power outage fault judgment scenarios:

[0019] The power outage event analyzed by the fault analysis server includes the following attributes: outage equipment, outage range, outage cause, outage time, planned power restoration time, and actual power restoration time.

[0020] Each power outage event attribute corresponds to the following status in the power outage event information pool: pending confirmation, confirmed, unconfirmed, and destroyed.

[0021] The confirmed power outage information will be reported to the after-sales service system.

[0022] Step 4: Determine the specific power outage event by following the steps for determining the power outage fault:

[0023] Step 4.1: Identifying a power outage event triggered by a line trip: When the distribution automation system detects a line switch trip, it will trigger a power outage event. The fault point is generally located downstream of the nearest distribution terminal. The fault detection and search process is as follows:

[0024] Step 4.1.1: If there is already a power outage event in the power outage event information pool whose outage range covers the line, then stop the fault judgment search process;

[0025] Step 4.1.2: Based on the distribution network topology information, retrieve all switch information on the feedback line to form the upstream and downstream relationships between switches;

[0026] Step 4.1.3: Retrieve information on all power distribution terminals on the feedback line, including the upstream and downstream attributes of adjacent terminals;

[0027] Step 4.1.4: Determine the location of the fault based on the triggering and starting information of the upstream and downstream power distribution terminals;

[0028] Step 4.2: Identifying a power outage event triggered by a distribution transformer outage: When the user information acquisition system detects a power outage at the distribution transformer, it will trigger a power outage event. The fault diagnosis and search process is as follows:

[0029] Step 4.2.1: If there is already a power outage event in the power outage event information pool whose outage range covers the transformer, then stop the fault judgment search process;

[0030] Step 4.2.2: Based on the relationship between the distribution transformer and the branch line, retrieve the status of all distribution transformers and branch line switches under the branch line to determine whether it is a single distribution transformer fault;

[0031] Step 4.2.3: If the branch line switch is unavailable, determine whether the branch line is faulty based on the status of other transformers below the branch line.

[0032] Step 4.2.4: If other distribution transformers under the branch line are unavailable, then based on the relationship between the branch line and the feeder, take the status of the feedback line switch, and determine the fault location according to steps 4.2.2 to 4.2.4 in the fault judgment search process triggered by the line tripping power outage event.

[0033] Step 4.3: Determine if the power outage event was triggered by a customer repair request: After receiving a customer repair request, the customer service management system will generate a power outage event in the system and submit it to the power outage event information pool. The fault determination and search process is as follows:

[0034] Step 4.3.1: If there is already a power outage event in the power outage event information pool whose outage range covers the customer who reported the repair, then stop the fault diagnosis and search process;

[0035] Step 4.3.2: Based on the relationship between the customer and the meter, determine the meter, meter box, and distribution transformer information related to the user;

[0036] Step 4.3.3: If the meter in step 4.3.2 is out of power or the meter information is missing, then retrieve all the meter boxes and meter information under the distribution transformer according to the association relationship between the distribution transformer and the meter.

[0037] Step 4.3.4: If the meter box and meters under the distribution transformer are without power or have missing information, check the status of the distribution transformer;

[0038] Step 4.3.5: If the distribution transformer is de-energized, retrieve the status of all distribution transformers and branch line switches under that branch line according to the relationship between the distribution transformer and the branch line.

[0039] Step 4.3.6: If the branch line switch is unavailable, determine the fault location based on the status of other transformers along the branch line;

[0040] Step 4.3.7: If other distribution transformers under the branch line are unavailable, then based on the relationship between the branch line and the feeder, take the status of the feedback line switch, and determine the fault location according to steps 4.3.2 to 4.3.4 in the fault judgment search process triggered by the line tripping power outage event.

[0041] The beneficial effects of this invention compared to existing technologies are as follows: This invention requires the effective integration and sharing of information from customer service management systems, power distribution automation systems, user information collection systems, and production management systems. In cases where certain fault information is missing, it can utilize topological or management-level related upper-level or neighboring information to help quickly locate faults in medium and low voltage distribution networks. For power outage events triggered by line tripping, distribution transformer outages, and customer repair requests, it proposes a power outage fault judgment method based on multi-source information, utilizing the relationships between customers, meters, meter boxes, distribution transformers, branch lines, and feeders. This method also includes a power outage event information pool. This invention analyzes and refines information about events, using a customer-reported power outage as an example to illustrate the process of determining power outage faults. To quickly locate faults in medium- and low-voltage distribution networks, this invention studies a multi-source data-based method for determining power outage faults, considering the triggering type of power outage events and the correlation between multiple sources of information. Furthermore, it designs a power outage event information pool to accelerate fault determination and facilitate sharing among multiple applications. This invention can accurately and quickly locate faults in the distribution network and rapidly restore power supply, effectively improving the efficiency of power outage management, reducing customer outage time, and enhancing power supply service levels. Attached Figure Description

[0042] The present invention will be further described below with reference to the accompanying drawings:

[0043] Figure 1 This is a schematic diagram of the power outage fault monitoring system based on line topology of the present invention;

[0044] Figure 2 This is a schematic diagram illustrating the relationship between the power outage event information pool and the power outage fault judgment in this invention;

[0045] Figure 3 This is a flowchart illustrating the fault diagnosis process for a power outage triggered by a customer's repair request, as described in an embodiment of the present invention. Detailed Implementation

[0046] like Figures 1 to 3 As shown, this invention determines the faulty line segment of the distribution network based on the adjacency relationship of fault indicators, and locates the fault area based on the relationship between smart meters, meter boxes, and distribution transformers. By utilizing the correlation between customers, meters, meter boxes, distribution transformers, branch lines, and feeders in the distribution network, the proposed multi-source information-based distribution network outage fault judgment method can be used to locate faults in medium and low voltage distribution networks when some outage fault information is missing. The analysis results of the outage fault judgment can improve the event processing in the outage event information pool.

[0047] This invention, based on detailed feeder models and fault event reports from intelligent electronic devices in the power distribution system, determines fault types and locates faults. According to a unified power distribution network model and power consumption information feedback, it analyzes the causes of power outages in detail and matches outage information from the production management system with outage segments and times from the online power quality monitoring system, achieving the collection and analysis of outage information. Furthermore, this invention classifies fault symptom information in the power distribution network, uses quantum genetic algorithms and wavelet analysis to determine fault types, and employs DS evidence theory for information fusion, improving the efficiency and accuracy of fault diagnosis. Based on data sharing between the dispatching and operation management system and other systems, this invention diagnoses faults according to power grid topology, station-to-line-to-transformer-to-user information, switch action information, transformer information, and fault indicator information, achieving the integration of power distribution network dispatching and emergency repair command operations.

[0048] When constructing the corresponding power outage monitoring system, smart meters are first installed at the customer's location. The information of the customer-associated meters and their associated meter boxes has been entered into the user information collection system. If the distribution system already covers the feeder, i.e., the feeder is equipped with feeder terminal units, distribution terminal units, or fault indicators, and the distribution automation system provides the operating status and data of the distribution transformer, branch line switches, and feeder switches, then the substation's operating status information can be obtained from the dispatch automation system. The customer service management system, dispatch automation system, user information collection system, production management system, and other application systems constructed by this invention can record different aspects of information from the same distribution network.

[0049] The following steps are used when conducting specific power outage fault diagnosis and analysis:

[0050] Step 1: As Figure 1As shown, this invention first constructs a system for judging faulty lines based on multi-source information, the specific structure of which is as follows:

[0051] There is a many-to-many relationship between feeders and substations, meaning that a substation may have multiple feeder outgoing lines, and a feeder may be associated with multiple substations.

[0052] There is a one-to-many relationship between feeders and feeder switches, meaning that there can be multiple feeder switches on one feeder, but one feeder switch is only associated with one feeder.

[0053] There is a one-to-many relationship between feeders and branch lines, meaning that there are multiple branch lines under one feeder, but each branch line is only associated with one feeder.

[0054] There is a one-to-many relationship between branch lines and branch switches, meaning that there are multiple branch switches on a branch line, but each branch switch is only associated with one branch line.

[0055] There is a one-to-many relationship between branch lines and distribution transformers, meaning that there are multiple distribution transformers under one branch line, but each distribution transformer is only associated with one branch line.

[0056] One distribution transformer can supply power to multiple customers. There is a one-to-many relationship between the distribution transformer and the meter, that is, the distribution transformer can be associated with multiple meters, but the meter is only associated with one distribution transformer.

[0057] A customer is associated with one or more smart meters. Multiple meters are deployed in a meter box, meaning there is a one-to-many relationship between the customer and the meters.

[0058] By leveraging the correlation between multi-source data, faults in medium and low voltage distribution networks can be quickly located using information from higher or neighboring sources at the topological or management levels, even when fault information is missing at certain locations.

[0059] Step 2: Establish a power outage event information pool;

[0060] Once a power outage event is triggered, it is first sent to the information pool of the power outage event database server via the monitoring server. The power outage event information pool is a place for multiple application systems to share and manage power outage events. The triggering conditions for power outage events in the distribution network include planned power outages from the production management system, power outages due to unpaid fees from the user information collection system, customer repair requests from the customer service management system, line trips from the dispatch automation system or distribution automation system, and power outages of distribution transformers from the distribution automation system. After a power outage event is created, a power outage fault judgment and analysis can be performed based on the triggering conditions and external interfaces. The corresponding control system feeds back the power outage information to the fault analysis server, and the generated power outage fault judgment and analysis results are sent to the information pool of the database server to improve the power outage event information.

[0061] like Figure 2 The diagram illustrates the relationship between the power outage event information pool and the power outage fault judgment module. Power outage events, after being analyzed and judged, include attributes such as the outage equipment, outage range, outage cause, outage time, planned power restoration time, and actual power restoration time. The status of power outage events in the power outage event information pool is divided into pending confirmation, confirmed, unconfirmed, and destroyed. Confirmed power outage event information will be reported to the after-sales service system.

[0062] This invention makes judgments based on power outage fault data from multiple sources. The topology analysis used is an important basis for power outage fault judgment. However, in practical applications, medium-voltage and low-voltage distribution network models are highly variable and it is difficult to obtain accurate topology information. Therefore, power outage fault judgment can be made by combining information from distribution automation, dispatch automation, electricity consumption information collection, planned / fault power outages, after-sales service customer repair reports, user arrears, and the topology of low-voltage equipment in the distribution area.

[0063] For planned power outages and power outages due to unpaid bills, the outage range can be determined directly based on the topology without additional fault diagnosis and analysis. This invention mainly targets three types of power outages: customer repair requests, line tripping, and distribution transformer outages, and designs corresponding power outage fault diagnosis methods.

[0064] Scenario 1: Power outage event determined to be triggered by line tripping:

[0065] When the distribution automation system detects a line switch trip, it will trigger a power outage event. The fault point is usually located downstream of the nearest distribution terminal. The fault diagnosis and search process is as follows:

[0066] (1) If there is already a power outage event in the power outage event information pool whose outage range covers the line, then stop the fault judgment search process;

[0067] (2) Based on the distribution network topology information, obtain the information of all switches on the feedback line to form the upstream and downstream relationships between switches;

[0068] (3) Obtain information on all power distribution terminals on the feedback line, including the upstream and downstream attributes of adjacent terminals;

[0069] (4) Determine the location of the fault based on the triggering and starting information of the upstream and downstream power distribution terminals.

[0070] Scenario 2: The power outage event is determined to be triggered by a power failure of a distribution transformer:

[0071] When the user information collection system detects a power outage at the distribution transformer, it will trigger a power outage event. The fault diagnosis and search process is as follows:

[0072] (1) If there is already a power outage event in the power outage event information pool whose outage range covers the transformer, then stop the fault judgment search process;

[0073] (2) Based on the relationship between the distribution transformer and the branch line, retrieve the status of all distribution transformers and branch line switches under the branch line to determine whether it is a single distribution transformer fault;

[0074] (3) If the branch line switch is unavailable, determine whether the branch line is faulty based on the status of other transformers below the branch line.

[0075] (4) If the status of other distribution transformers under the branch line is unavailable, the status of the feedback line switch is taken according to the relationship between the branch line and the feeder, and the fault location is determined according to the steps (2) to (4) of the fault judgment search process triggered by the line trip.

[0076] Scenario 3: Power outage event determined to be triggered by customer repair request:

[0077] After receiving a customer's repair call, the customer service management system will generate a power outage event in the system and submit it to the power outage event information pool. The fault diagnosis and search process is as follows:

[0078] (1) If there is already a power outage event in the power outage event information pool whose outage range covers the customer who reported the repair, then stop the fault judgment search process;

[0079] (2) Based on the relationship between the customer and the meter, determine the meter, meter box and distribution transformer information related to the user;

[0080] (3) If the meter in the previous step is out of power or the meter information is missing, then retrieve all the meter boxes and meter information under the distribution transformer according to the relationship between the distribution transformer and the meter.

[0081] (4) If the meter box and meters under the distribution transformer are without power or the information is missing, check the status of the distribution transformer;

[0082] (5) If the distribution transformer is de-energized, retrieve the status of all distribution transformers and branch line switches under that branch line according to the relationship between the distribution transformer and the branch line.

[0083] (6) If the branch line switch is unavailable, the fault location is determined based on the status of other distribution transformers under the branch line;

[0084] (7) If the status of other distribution transformers under the branch line is unavailable, the status of the feedback line switch is taken according to the relationship between the branch line and the feeder, and the fault location is determined according to the (2) to (4) steps of the fault judgment search process triggered by the line trip.

[0085] like Figure 3As shown, based on the above-mentioned power outage fault judgment method, the specific fault judgment process for a power outage event triggered by a customer's repair request in this embodiment of the invention is as follows:

[0086] Suppose a customer calls customer service to request a fault report, triggering a power outage event. The system first checks if this power outage event already exists in the power outage event information pool, and replies to the customer based on the power outage event status in the pool; if it is a new power outage event, it is added to the power outage event information pool and processed accordingly. Figure 3 The information displayed, including customers, meters, other meters in the same meter box, meters in adjacent meter boxes, distribution transformers, other distribution transformers on the same branch line, branch lines, and feeders, can be traced upstream to determine whether the power outage fault is an internal customer fault, a single-household meter fault, a meter box fault, a low-voltage fault before the meter, a low-voltage fault, a single distribution transformer fault, a multiple distribution transformer fault, a branch line fault, a trunk line fault, or a feeder fault. This provides accurate and effective information for fault repair personnel and can effectively shorten the customer's power outage time.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining power outage faults based on line topology, characterized in that: Includes the following steps: Step 1: Establish a multi-source information fault line diagnosis system: Set up a many-to-many relationship between the feeder and the substation; Set the relationship between the feeder and the feeder switch to a one-to-many relationship; Set the relationship between the feeder and the branch lines to a one-to-many relationship; Set the relationship between the branch line and the branch switch to a one-to-many relationship; Set the relationship between the branch line and the distribution transformer to a one-to-many relationship; Set the distribution transformer and meter to have a one-to-many relationship; Set up a one-to-many relationship between customers and meters; Based on the correlation between the above-mentioned multi-source data, it is possible to quickly locate faults in the distribution network by using the superior or neighboring information associated at the topological or management level when fault information is missing at certain locations. Step 2: Establish a power outage event information pool: Once a power outage event to be judged is triggered, the specific control system sends the event information to the information pool recorded by the power outage event database server through the monitoring server, thus establishing a task for judging the power outage fault. After the task is established, a power outage fault judgment and analysis is performed based on the triggering conditions and external interfaces. The specific control system feeds back the power outage information to the fault analysis server. The fault analysis server generates the power outage fault judgment and analysis results and sends them to the information pool of the database server to improve the power outage event information. Step 3: Establish the data relationship between the power outage event information pool and the corresponding power outage fault judgment scenarios: The power outage event analyzed by the fault analysis server includes the following attributes: outage equipment, outage range, outage cause, outage time, planned power restoration time, and actual power restoration time. Each power outage event attribute corresponds to the following status in the power outage event information pool: pending confirmation, confirmed, unconfirmed, and destroyed. The above-mentioned confirmed power outage information will be reported to the after-sales service system; Step 4: Determine the specific power outage event by following the steps for determining the power outage fault: Step 4.1: Identifying a power outage event triggered by a line trip: When the distribution automation system detects a line switch trip, it will trigger a power outage event. The fault point will be located downstream of the nearest distribution terminal. The fault identification and search process is as follows: Step 4.1.1: If there is already a power outage event in the power outage event information pool whose outage range covers the line, then stop the fault judgment search process; Step 4.1.2: Based on the distribution network topology information, retrieve all switch information on the feedback line to form the upstream and downstream relationships between switches; Step 4.1.3: Retrieve information on all power distribution terminals on the feedback line, including the upstream and downstream attributes of adjacent terminals; Step 4.1.4: Determine the location of the fault based on the triggering and starting information of the upstream and downstream power distribution terminals; Step 4.2: Identifying a power outage event triggered by a distribution transformer outage: When the user information acquisition system detects a power outage at the distribution transformer, it will trigger a power outage event. The fault diagnosis and search process is as follows: Step 4.2.1: If there is already a power outage event in the power outage event information pool whose outage range covers the transformer, then stop the fault judgment search process; Step 4.2.2: Based on the relationship between the distribution transformer and the branch line, retrieve the status of all distribution transformers and branch line switches under the branch line to determine whether it is a single distribution transformer fault; Step 4.2.3: If the branch line switch is unavailable, determine whether the branch line is faulty based on the status of other transformers below the branch line. Step 4.2.4: If other distribution transformers under the branch line are unavailable, then based on the relationship between the branch line and the feeder, take the status of the feedback line switch, and determine the fault location according to steps 4.2.2 to 4.2.4 in the fault judgment search process triggered by the line tripping power outage event; Step 4.3: Determine if the power outage event was triggered by a customer repair request: After receiving a customer repair request, the customer service management system will generate a power outage event in the system and submit it to the power outage event information pool. The fault determination and search process is as follows: Step 4.3.1: If there is already a power outage event in the power outage event information pool whose outage range covers the customer who reported the repair, then stop the fault diagnosis and search process; Step 4.3.2: Based on the relationship between the customer and the meter, determine the meter, meter box, and distribution transformer information related to the user; Step 4.3.3: If the meter in step 4.3.2 is out of power or the meter information is missing, then retrieve all the meter boxes and meter information under the distribution transformer according to the association relationship between the distribution transformer and the meter. Step 4.3.4: If the meter box and meters under the distribution transformer are without power or have missing information, check the status of the distribution transformer; Step 4.3.5: If the distribution transformer is de-energized, retrieve the status of all distribution transformers and branch line switches under that branch line according to the relationship between the distribution transformer and the branch line. Step 4.3.6: If the branch line switch is unavailable, determine the fault location based on the status of other transformers along the branch line; Step 4.3.7: If other distribution transformers under the branch line are unavailable, then based on the relationship between the branch line and the feeder, take the status of the feedback line switch, and determine the fault location according to steps 4.3.2 to 4.3.4 in the fault judgment search process triggered by the line tripping power outage event.

Images