A smart substation remote control information fault diagnosis method, system and device

Abstract

A kind of intelligent substation remote control information fault diagnosis method, system and device, diagnosis method includes importing intelligent substation static configuration file, obtains intelligent electronic device configuration information and secondary system network configuration information;Remote control information communication link data model is established based on configuration file information, and each node data value is scheduled;Collect secondary system online monitoring information, obtain the actual data value of each node of communication link and are associated with scheduled data value;In turn compare whether each node scheduled data value and actual data value are consistent, reach the purpose of remote control information fault diagnosis positioning.System includes configuration information model generation module, online monitoring data acquisition module and fault diagnosis positioning module, the device host computer comprehensive processor, data collector, liquid crystal display, memory, power board, keyboard board.When secondary equipment appears communication failure in the process of intelligent substation operation, technician can quickly, accurately carry out fault diagnosis.

Description

Technical Field

[0001] This invention relates to the field of fault diagnosis in intelligent substations, specifically to a method, system, and device for diagnosing faults in remote control information of intelligent substations. Background Technology

[0002] Intelligent substations are becoming an increasingly prevalent trend in China's power grid construction. However, during operation, communication link failures in secondary equipment are a common problem in intelligent substations. The sheer number of secondary devices in intelligent substations results in numerous virtual connections, with potential overlaps and intersections in these virtual circuits, making fault diagnosis and localization challenging for technicians.

[0003] Currently, there are some studies on secondary equipment faults in smart substations both domestically and internationally. Most of these studies focus on faults within the secondary equipment itself, fiber optic faults, and protection and control logic faults, with relatively few studies addressing remote control and information communication faults. Furthermore, the lack of clarity regarding the physical connection port information of virtual circuits in smart substations makes it difficult to correlate virtual circuits with physical circuits, and related MMS-type signals and GOOSE signals are also difficult to correlate, further complicating the diagnosis of remote control and information communication faults. Summary of the Invention

[0004] In order to overcome the shortcomings of the prior art, the present invention provides a method, system and device for diagnosing remote control information faults in intelligent substations.

[0005] The technical solution adopted in this invention is as follows:

[0006] A standard name rule base and a remote control fault location rule base are established. Using remote control commands as excitation events, the actions of the station control layer, interval layer, and process layer after an event occurs are established, along with expected values ​​for these actions. Based on an SCD file, objects and expected values ​​of a series of actions generated by remote control are instantiated, establishing a complete remote control information communication link data model. Station control layer, interval layer, and process layer messages are monitored in real time. When a remote control event is detected in a station control layer message, the interval layer and process layer message analysis mechanism is activated to dynamically check whether the data generated by the communication link, switch, intelligent terminal, and measurement and control device are consistent with the values ​​in the established communication link data model. If inconsistent, missing items are checked to locate the location of the remote control fault, achieving intelligent fault diagnosis and location. This avoids manually searching for the cause of the fault among numerous devices, networks, and messages. The method includes the following steps:

[0007] S1. Import the static configuration file of the intelligent substation to obtain the configuration information of intelligent electronic equipment and the network configuration information of the secondary system, etc.

[0008] S2. Establish a remote control information communication link data model based on the configuration file information, and predetermine the data values ​​of each node;

[0009] S3. Collect online monitoring information of the secondary system, obtain the actual data values ​​of each node in the communication link and associate them with the predetermined data values;

[0010] S4. Compare the predetermined data values ​​and actual data values ​​of each node in turn to achieve the purpose of remote control information fault diagnosis and location.

[0011] The static configuration files in step S1 include the site-wide system configuration file SCD, the system specification file SSD, the IED capability description file ICD, and the IED instance configuration file CID. The file parsing method is based on XML syntax parsing.

[0012] The remote control information communication link data model established in step S2 is based on configuration information and the networking method between intelligent electronic devices, while pre-setting the data values ​​of each node.

[0013] The method for obtaining the actual data values ​​of each node in the communication link and associating them with predetermined data values ​​in step S3 specifically includes the following steps:

[0014] S31. Establish a message information name rule base based on expert experience and historical event database to standardize message information;

[0015] S32. Parse the SCD file and fill the configuration information into the rule base to obtain specific pre-defined data based on the rule base and the SCD file;

[0016] S33. Fill the collected online monitoring data of the secondary system into the rule base to obtain specific actual data based on the rule base and real-time data;

[0017] S34. Based on the rule base, associate the pre-defined data of the remote control information communication link with the actual data one by one.

[0018] The system includes a standard name rule base, a remote control fault location rule base, a remote control information communication link data model, a station control layer monitoring module, an interval layer monitoring module, a process layer monitoring module, and a fault diagnosis and location module.

[0019] The standard name rule base is used to establish the standard names generated by the remote control target, which are used to identify the specific target remotely controlled by the monitoring backend. It can also be associated with the data path in the SCD file and is the basis for establishing a series of actions and behaviors generated by the remote control target.

[0020] The remote control fault location rule base is used to establish fault location rules based on a series of behaviors and data values ​​generated by the station control layer, bay layer, station control layer network, and equipment after different remote control targets issue commands.

[0021] A behavioral rule library that establishes rules for specific positioning.

[0022] The remote control information communication link data model is used to instantiate and generate a series of actions and data values ​​generated by the remote control object based on SCD files, standard name rule base, and remote control fault location rule base, and to establish a judgmentable remote control information communication link data model.

[0023] The station control layer monitoring module is used to monitor remote control commands, switch and disconnector position signals, etc., issued and returned by the station control layer.

[0024] The interval layer monitoring module is used to monitor faults in the interval layer measurement and control devices, protection devices, switches themselves, ports, and networks.

[0025] The process layer monitoring module is used to monitor faults in process layer intelligent terminals, switches themselves, and fiber optic cables.

[0026] The configuration information model generation module is used to import configuration files to obtain configuration information and establish remote control information.

[0027] Communication link data model, pre-defined data values ​​for each node in the remote control information link;

[0028] The fault diagnosis and location module, based on the monitored station control layer, interval layer, and process layer messages, and on the remote control information communication link data model, determines whether there are any missing items in the remote control information communication link data model after the remote control command is generated. If there are missing items, it comprehensively judges the cause of the fault based on the order of the missing items, thereby achieving the purpose of fault diagnosis and location.

[0029] The remote control information communication link data model includes excitation data, associated data, and process data. The excitation data is obtained by capturing MMS messages from the station control layer, and the associated data is obtained by capturing GOOSE and SV messages from the process layer. The process data includes switch data, fiber optic data, etc., and the switch data is obtained through the SNTP protocol.

[0030] The nodes of the remote control information communication link include: the status of the station control layer switch equipment, the status of each port of the station control layer switch, the status of the process layer switch equipment, the status of the process layer switch ports, and the status of related optical fibers. A smart substation remote control information fault diagnosis device includes a host computer integrated processor, a data acquisition unit, an LCD display, a memory, a power supply board, and a keyboard board. Its features include: the host computer integrated processor being responsible for parsing static configuration information to establish a remote control information communication link data model, organizing actual monitoring data, and completing data analysis and processing to achieve remote control information fault diagnosis and location; the data acquisition unit being responsible for collecting online monitoring data from the secondary system, organizing station control layer MMS messages, process layer GOOSE and SV messages, and obtaining switch operating conditions based on the SNTP protocol; and the LCD display being responsible for displaying the remote control information communication link and fault diagnosis and location results.

[0031] The technical effects achieved by this invention are as follows:

[0032] With this device, when communication failures occur in secondary equipment during the operation of a smart substation, technicians can quickly and accurately diagnose the fault. Attached Figure Description

[0033] Figure 1 This is a flowchart of the remote control information fault diagnosis method of the present invention;

[0034] Figure 2 This is a schematic diagram of the remote control information communication link of the present invention;

[0035] Figure 3 System functional block diagram of the present invention;

[0036] Figure 4 Schematic diagram of a smart substation remote control information fault diagnosis device

[0037] Figure 5 This is a schematic diagram of the external structure of a smart substation remote control information fault diagnosis device. Detailed Implementation

[0038] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0039] like Figure 1 The diagram shown is a flowchart of the remote control information fault diagnosis method of this invention, which provides a method for diagnosing remote control information faults in intelligent substations. The method includes the following steps:

[0040] S1. Import the static configuration file SCD file of the intelligent substation to obtain configuration information of intelligent electronic equipment and secondary system network configuration information, etc.

[0041] The static configuration files include the site-wide system configuration file SCD, the system specification file SSD, the IED capability description file ICD, and the IED instance configuration file CID. The parsing method is based on XML syntax parsing.

[0042] S2. Establish a remote control information communication link data model based on the configuration file information, and predetermine the data values ​​of each node;

[0043] The remote control information communication link data model is established based on configuration information and the networking method between intelligent electronic devices, while pre-setting the data values ​​of each node.

[0044] S3. Collect online monitoring information of the secondary system, obtain real-time values ​​of each node in the communication link and correlate them with predetermined data values;

[0045] S4. Compare the predetermined data values ​​and actual data values ​​of each node in turn to achieve the purpose of remote control information fault diagnosis and location.

[0046] In step S3 above, the method for associating predetermined data and actual data in the remote control information communication link specifically includes the following steps:

[0047] S31. Establish a message information name rule base based on expert experience and historical event database to standardize message information;

[0048] S32. Parse the SCD file and fill the configuration information into the rule base to obtain specific pre-defined data based on the rule base and the SCD file;

[0049] S33. Fill the collected online monitoring data of the secondary system into the rule base to obtain specific actual data based on the rule base and real-time data.

[0050] S34. Based on the rule base, associate the pre-defined data of the remote control information communication link with the actual data one by one.

[0051] like Figure 2 The diagram shown is a schematic of the remote control information communication link of the present invention. A complete remote control information communication link includes 9 message sequences.

[0052] Among them, serial number 1 is the remote control command issued by the monitoring backend A; serial number 2 is the remote control command forwarded by the monitoring and control device to the smart terminal; serial number 3 is the command issued by the smart terminal to the primary switch and disconnect device; serial numbers 4 and 5 are the position signals returned by the switch and disconnect device; serial number 6 is the position signal of the switch and disconnect device received by the smart terminal; serial numbers 7, 8, and 9 are the switch and disconnect device position signals connected by the switch to the monitoring and control device, protection device A set, and protection device B set; and serial number 9 is the remote control return command and the switch and disconnect device position return signal.

[0053] As mentioned above, if there are missing or inconsistent sequence messages, the location of the fault can be determined, specifically:

[0054] If a remote control command is received in sequence number 1 and a message is missing in sequence number 2, the faulty nodes include: faults in the station control layer switch itself, faults in the receiving port of the station control layer switch, and faults in the signal sending port of the station control layer switch.

[0055] If messages 1 and 2 are identical, but message 3 is missing, the faulty nodes include: the signal port of the control station switch receiving station of the measurement and control device, the fault of the measurement and control device itself, and the signal port of the measurement and control device.

[0056] By analogy, a complete set of fault location diagnosis rules for different situations can be obtained.

[0057] Based on the above logic, the predetermined signal data values ​​of each node in the remote control information communication link are calculated. At the same time, the analysis is performed on the data set monitored by the secondary system, based on the message missing situation and message content.

[0058] For example, by analyzing the actual messages through secondary system monitoring data, it is found that the message information after sequence number 6 cannot be monitored, while the message information before sequence number 6 can be monitored and is consistent with the predetermined signal data value. Then it can be determined that the remote control information failure occurs in the switch position signal sent by the smart terminal and the position signal sent by the measurement and control device.

[0059] 1. Figure 3 The present invention is a system functional block diagram of an intelligent substation remote control information fault diagnosis system, which is mainly divided into a standard name rule library, a remote control fault location rule library, a remote control information communication link data model, a station control layer monitoring module, an bay layer monitoring module, a process layer monitoring module, and a fault diagnosis and location module.

[0060] The standard name rule base is used to establish the standard names generated by the remote control target, which are used to identify the specific target remotely controlled by the monitoring backend. It can also be associated with the data path in the SCD file and is the basis for establishing a series of actions and behaviors generated by the remote control target.

[0061] The remote control fault location rule base is used to establish fault location rules based on a series of behaviors and data values ​​generated by the station control layer, bay layer, station control layer network, and equipment after different remote control targets issue commands.

[0062] A behavioral rule library that establishes rules for specific positioning.

[0063] The remote control information communication link data model is used to instantiate and generate a series of actions and data values ​​generated by the remote control object based on SCD files, standard name rule base, and remote control fault location rule base, and to establish a judgmentable remote control information communication link data model.

[0064] The station control layer monitoring module is used to monitor remote control commands, switch and disconnector position signals, etc., issued and returned by the station control layer.

[0065] The interval layer monitoring module is used to monitor faults in the interval layer measurement and control devices, protection devices, switches themselves, ports, and networks.

[0066] The process layer monitoring module is used to monitor faults in process layer intelligent terminals, switches themselves, and fiber optic cables.

[0067] The fault diagnosis and location module, based on the monitored station control layer, interval layer, and process layer messages, and on the remote control information communication link data model, determines whether there are any missing items in the remote control information communication link data model after the remote control command is generated. If there are missing items, it comprehensively judges the cause of the fault based on the order of the missing items, thereby achieving the purpose of fault diagnosis and location.

[0068] The main functions include the following:

[0069] 1. Establish a message information name rule base and generate a signal association data model.

[0070] 2. Based on XML syntax, parse SCD file information to obtain configuration data of intelligent electronic devices related to remote control information communication links, such as configuration data of measurement and control devices and intelligent terminals;

[0071] 3. Parse and obtain the MMS communication configuration of the station control layer equipment, and the GOOSE and SV communication configuration of the process layer;

[0072] 4. Generate specific signal association data models in the remote control information communication link based on the rule base.

[0073] The online monitoring data acquisition module 302 is used to collect online monitoring data of the secondary system and obtain the current actual data values ​​of each node in the remote control information communication link. The online monitoring data acquisition module 302 is mainly responsible for collecting the current data values ​​of each intelligent electronic device in the intelligent substation. The acquisition method is to capture relevant messages based on various communication protocols.

[0074] For example, as mentioned above Figure 2 Messages numbered 1 and 9 are MMS messages from the station control layer, obtained through the mirror port; messages numbered 2, 6, 7, 8, and 9 are GOOSE messages, obtained through multicast messages.

[0075] The fault diagnosis and location module is used to comprehensively analyze remote control information communication link data to achieve fault diagnosis and location. The module is primarily responsible for comprehensively analyzing the data model to complete fault diagnosis and location. Specifically, it includes the following steps:

[0076] A1. Based on the remote control information communication link data model, predetermine the remote control information communication link data values;

[0077] A2. Collect information about the station control layer switch and the process layer switch, as well as the status information of each port.

[0078] A3. Collect message data for each sequence number column in the entire remote control information communication link, and check the actual message integrity and specific data values;

[0079] A4. If the actual message is missing, the fault is located at this node; if the actual message is inconsistent, the fault is located at this node.

[0080] In step A4, fault location is divided into the following situations:

[0081] One possibility is a fault in certain intelligent devices within the remote control information communication link, such as CPU failure or damaged plug-ins. This type of fault can be identified by examining the dataset to which the collected message information belongs.

[0082] Second, there is an abnormality in the fiber optic communication in the remote control information communication link. This type of fault can also be judged based on the dataset of the collected message information.

[0083] Third, logical faults caused by certain intelligent devices failing to respond to commands in the remote control information link. Such faults are judged by comparing the actual message information with the predetermined state data of the intelligent devices.

[0084] Figure 4 The figure shows a hardware block diagram of a smart substation remote control information fault diagnosis device according to the present invention. The hardware mainly includes the following parts:

[0085] The system comprises a host computer integrated processor, a data acquisition unit, a power supply board, and an LCD screen. The host computer integrated processor is responsible for parsing static configuration information to establish a remote control information communication link data model, organizing actual monitoring data, and performing data analysis and processing to achieve remote control information fault diagnosis and location. The data acquisition unit is responsible for collecting online monitoring data from the secondary system, organizing station control layer MMS messages, process layer GOOSE and SV messages, and obtaining switch operating status based on the SNTP protocol. The LCD screen displays the remote control information communication link and fault diagnosis and location results. The data acquisition unit is electrically connected to the host computer integrated processor, providing data to the host computer integrated processor for data acquisition from the secondary system equipment of the intelligent substation. The power supply board is electrically connected to the host computer integrated processor, providing power to the host computer and the processor. The host computer integrated processor is electrically connected to the LCD screen to display the data information to be output. The host computer integrated processor and the LCD screen enable human-machine interaction.

[0086] Figure 5 This is a schematic diagram of the external structure of an intelligent substation remote control information fault diagnosis device according to the present invention. The diagnostic device is a portable chassis design, including a front panel, a left panel, a right panel, and a top panel.

[0087] The front panel is equipped with an LCD screen A1; the left panel has a communication network port A2; and the right panel has a power interface A3 and a power switch A4.

[0088] When assembling the chassis, the CPU, memory, and data acquisition board are installed on the motherboard as plug-ins and placed inside the chassis structure. At the same time, independent modules are installed in their respective positions in sequence, such as the LCD screen being installed at position A1 on the front panel and the power switch being installed at position A3 on the right panel. Finally, the entire machine is assembled.

Claims

1. A method for diagnosing faults in remote control information of intelligent substations, characterized in that, The method includes the following steps: S1. Import the static configuration file of the intelligent substation to obtain the configuration information of intelligent electronic equipment and the network configuration information of the secondary system; S2. Establish a remote control information communication link data model based on the configuration information of the intelligent electronic device and the network configuration information of the secondary system, and predetermine the data values ​​of each node; S3. Collect online monitoring data of the secondary system, obtain the actual data values ​​of each node in the communication link, and correlate them with predetermined data values; the method for obtaining the actual data values ​​of each node in the communication link and correlating them with predetermined data values ​​in step S3 specifically includes the following steps: S31. Establish a message information name rule base based on expert experience and historical event database to standardize message information; S32. Parse the SCD file and fill the configuration information into the rule base to obtain the specific predefined data values ​​based on the rule base and the SCD file; S33. Fill the collected online monitoring data of the secondary system into the rule base to obtain the specific actual data value based on the rule base and real-time data; S34. Based on the rule base, associate the predetermined data values ​​and actual data values ​​of the remote control information communication link one by one; S4. Compare the predetermined data values ​​and actual data values ​​of each node in turn to achieve the purpose of remote control information fault diagnosis and location.

2. The method for diagnosing faults in remote control information of an intelligent substation as described in claim 1, characterized in that, The static configuration files in step S1 include the site-wide system configuration file SCD, the system specification file SSD, the IED capability description file ICD, and the IED instance configuration file CID. The file parsing method is based on XML syntax parsing.

3. The method for diagnosing faults in remote control information of an intelligent substation as described in claim 1, characterized in that, The remote control information communication link data model established in step S2 is based on the configuration information of the intelligent electronic device, the network configuration information of the secondary system, and the networking method between the intelligent electronic devices. At the same time, the data values ​​of each node are predetermined.

4. A fault diagnosis system for remote control information in intelligent substations, wherein the system is applied to the fault diagnosis method as described in any one of claims 1-3, characterized in that: The system includes a standard name rule base, a remote control fault location rule base, a remote control information communication link data model, a station control layer monitoring module, an interval layer monitoring module, a process layer monitoring module, and a fault diagnosis and location module.

5. The intelligent substation remote control information fault diagnosis system as described in claim 4, characterized in that: The standard name rule base is used to establish the standard names generated by remote control objects, which are used to identify the specific objects remotely controlled by the monitoring backend. It can also be associated with the data paths in the SCD file and is the basis for establishing a series of actions and behaviors generated by remote control objects. The remote control fault location rule base is used to establish fault location rules based on a series of behaviors and data values ​​generated by the station control layer, bay layer, and station control layer network after different remote control objects issue commands. The behavior rule base establishes rules for fault location. The remote control information communication link data model is used to instantiate and generate a series of actions and data values ​​generated by the remote control object based on the SCD file, standard name rule base, and remote control fault location rule base, and to establish a judgmentable remote control information communication link data model. The station control layer monitoring module is used to monitor remote control commands, switch and disconnector position signals issued and returned by the station control layer; The interval layer monitoring module is used to monitor faults in the interval layer measurement and control devices, protection devices, switches themselves, ports, and networks. The process layer monitoring module is used to monitor process layer intelligent terminals, switch faults, and fiber optic faults. The fault diagnosis and location module, based on the monitored station control layer, interval layer, and process layer messages, and on the remote control information communication link data model, determines whether there are any missing items in the remote control information communication link data model after the remote control command is generated. If there are missing items, it comprehensively judges the cause of the fault based on the order of the missing items, thereby achieving the purpose of fault diagnosis and location.

6. The intelligent substation remote control information fault diagnosis system as described in claim 4, characterized in that: The remote control information communication link data model includes excitation data, associated data, and process data. The excitation data is obtained by capturing MMS messages from the station control layer, and the associated data is obtained by capturing GOOSE and SV messages from the process layer. The process data includes switch data and fiber optic data, and the switch data is obtained through the SNTP protocol.

7. The intelligent substation remote control information fault diagnosis system as described in claim 4, characterized in that: The nodes of the remote control information communication link include: the status of the station control layer switch equipment, the status of each port of the station control layer switch, the status of the process layer switch equipment, the status of the process layer switch ports, and the status of the relevant optical fibers.

8. A fault diagnosis device for remote control information in intelligent substations, the device being applied to any of the fault diagnosis systems described in claims 4-7, the device comprising a host computer integrated processor, a data acquisition unit, a liquid crystal display, a memory, a power supply board, and a keyboard board, characterized in that: The host computer's integrated processor is responsible for parsing static configuration information to establish a remote control information communication link data model, as well as organizing online monitoring data of the secondary system, and completing data analysis and processing to achieve remote control information fault diagnosis and location; the data acquisition unit is responsible for collecting online monitoring data of the secondary system, organizing station control layer MMS messages, process layer GOOSE and SV messages, and obtaining switch operating status based on the SNTP protocol; the LCD display is responsible for displaying remote control information communication link and fault diagnosis and location results.

Images