CN112104073B

CN112104073B - Real-time information calibration method for power system

Info

Publication number: CN112104073B
Application number: CN202010839128.2A
Authority: CN
Inventors: 袁甄; 刘以成; 游木森
Original assignee: Xiamen Yingshengjie Electric Technology Co ltd
Current assignee: Xiamen Yingshengjie Electric Technology Co ltd
Priority date: 2020-08-19
Filing date: 2020-08-19
Publication date: 2022-05-24
Anticipated expiration: 2040-08-19
Also published as: CN112104073A

Abstract

The real-time information calibration method for the power system comprises the following steps: collecting panoramic information of a power system in real time; carrying out information source classification calibration on the panoramic information; carrying out information type classification calibration on the panoramic information; carrying out time condition calibration on the panoramic information; carrying out information availability calibration on the panoramic information; and carrying out fault diagnosis requirement classification screening on the panoramic information subjected to the information source classification calibration, the information type classification calibration, the time condition calibration and the information availability calibration, wherein the selected panoramic information is taken as selected calibration information to participate in fault diagnosis. The real-time information calibration method of the power system realizes multi-dimensional calibration of panoramic information and is used for fault diagnosis, so that the fault diagnosis is more efficient and accurate.

Description

Real-time information calibration method for power system

Technical Field

The invention relates to the field of power system fault diagnosis, in particular to a power system real-time information calibration method.

Background

An electric power system is a system in which a large number of power stations, substations, distribution stations, users, and the like are connected by transmission and distribution lines. It is usually composed of generator, transformer, bus, transmission and distribution line and electric equipment. Electrical components, equipment and systems are normally in normal operation, but may also be in fault or abnormal operation.

The power system fault refers to a state that the electrical elements and equipment cannot work according to expected indexes, that is, the electrical elements and equipment do not reach the functions which the electrical elements and equipment should achieve, and the faults include generator set faults, transformer faults, transmission line faults, substation faults, bus faults and the like.

As the scale of the power system becomes larger and larger, the structure becomes more and more complex, and the occurrence of a fault is inevitable. The power system fault processing process may be that a topology change is detected from an operating state of the system, fault symptom information is detected from an area (unit) associated with the topology change, and after analyzing and processing the information, a specific area and a specific position (such as a fault range or a fault point) where a fault occurs are determined according to a signal of a protection action. After the fault range or the fault point is determined, the fault area (unit) is reliably cut off or is reliably isolated, then the power supply recovery of the power-losing load is completed, and finally fault reason checking and fault elimination processing are carried out.

The special system for power system diagnosis is a corresponding power system fault diagnosis expert system.

Disclosure of Invention

The invention aims to provide a real-time information calibration method for an electric power system, so as to better realize the prediction of the abnormal state (fault state, disturbance event and the like) of the electric power system and provide better early warning feedback.

In order to solve the above problems, the present invention provides a method for calibrating real-time information of an electrical power system, comprising: collecting panoramic information of a power system in real time; carrying out information source classification calibration on the panoramic information; carrying out information type classification calibration on the panoramic information; carrying out time condition calibration on the panoramic information; carrying out information availability calibration on the panoramic information; and carrying out fault diagnosis requirement classification screening on the panoramic information subjected to the information source classification calibration, the information type classification calibration, the time condition calibration and the information availability calibration, wherein the selected panoramic information is taken as selected calibration information to participate in fault diagnosis.

Optionally, performing information source classification and calibration on the panoramic information includes: and obtaining different types of information sources, and setting the diagnostic attribute corresponding to each information source.

Optionally, the classifying and calibrating the information type of the panoramic information includes: and classifying the information types of the panoramic information into telemetering, remote signaling deflection, event sequence recording, wave recording messages, state values and process values.

Optionally, the information source classification calibration and the information type classification calibration are associated.

Optionally, the time condition calibration is performed on the panoramic information, including absolute time calibration and relative time calibration performed on the panoramic information.

Optionally, the relative time calibration takes the occurrence time of the disturbance event as a time origin.

Optionally, the precision of the relative time calibration is set to be millisecond.

Optionally, the information availability calibration on the panoramic information includes: and performing state evaluation on the panoramic data.

Optionally, the panoramic information of the power system is collected in real time through one or more communication protocols of IEC61850, IEC-608780-5-104, IEC-60870-5-103, ModbusRTU, Modbus TCP, DNP, and COMTRADE.

Optionally, the information source of the panoramic information is classified and calibrated, then the information type of the panoramic information is classified and calibrated, then the time condition of the panoramic information is calibrated, and finally the information availability of the panoramic information is calibrated.

The invention relates to a method for calibrating real-time information of an electric power system, which comprises the steps of calibrating data used by expert diagnosis, and calibrating by corresponding methods with different dimensions, thereby carrying out calibration from four dimensions of information sources, information types, time and information availability for panoramic real-time information data of electric power system clients and electricity consumers.

Drawings

Fig. 1 is a configuration structure of a diagnostic system master station and a dispatching center (or a centralized control center) in a fault diagnosis expert system of an electric power system according to a first embodiment;

FIG. 2 is a first embodiment of a diagnostic system master deployment structure of a fault diagnosis expert system of an electrical power system;

fig. 3 is a schematic diagram illustrating steps of a real-time information calibration method for an electrical power system according to a second embodiment.

Detailed Description

For a more clear presentation, the invention is described in detail below with reference to the accompanying drawings.

Example one

Referring to fig. 1 and fig. 2, a system for diagnosing faults of an electric power system according to the present invention is shown.

The power system fault diagnosis expert system comprises a diagnosis system main station, and the diagnosis system main station of the embodiment is directly arranged by using a network of a scheduling main station (or called a centralized control main station) (hereinafter, referred to as the scheduling main station).

In fig. 1, the left side of the dotted line is the structure of the scheduling master station, and the right side of the dotted line is the diagnostic system master station of the fault diagnosis expert system.

As can be seen from fig. 1, the master station of the diagnostic system of this embodiment is hung in the network structure of the scheduling master station.

As shown in fig. 1, the corresponding scheduling master station may include: the system comprises a scheduling main station data storage structure, an engineer station, an operator station, a telecontrol forwarding/scheduling communication unit, a scheduling main station server and the like.

The telecontrol forwarding/scheduling communication unit of the scheduling master station can be accessed to the power scheduling network. And accessing the SCADA information of each transformer substation in the centralized control area by the server of the dispatching master station.

The diagnosis system master station may directly access the power system by using the communication Device of the scheduling master station, for example, the diagnosis system master station accesses the scheduling master station system by using a station Control layer switch of the scheduling master station, that is, the diagnosis system master station accesses the corresponding power system And power detection system, such as an SCADA system (Supervisory Control And Data Acquisition system, that is, Data Acquisition And monitoring Control system) or an IED system (Intelligent Electronic Device), for example. The SCADA system is a DCS (distributed control system) and an electric power automatic monitoring system based on a computer, and can be applied to data acquisition and monitoring control, process control and the like in various industrial fields.

Figure 2 shows a particular deployment configuration of the diagnostic system master station.

As shown in fig. 2, the diagnostic system master station includes: a data storage structure (shown as a dashed box in fig. 2), an expert knowledge base, a front-end server, an analysis engine, and a running workstation.

The data storage structure is used for storing data. The expert knowledge base is used for storing the expert knowledge. The front-end server is used for collecting the operation parameters of the power system and executing data preprocessing. The analysis engine is used as a real-time inference engine, acquires observation information required by cache inference from the front-end server, searches appropriate expert knowledge from the expert knowledge base, completes inference and stores inference processes and inference results. The workstation is operative to act as a user client for displaying information and the like.

As shown in fig. 2, in this embodiment, the data storage structure may include a data server and a disk array. The data storage structure of the embodiment comprises two data servers. The two data servers can be used as historical data servers to store historical cases, historical reports, and statics analysis historical data.

As shown in fig. 2, in this embodiment, the expert knowledge base is used to store and update expert knowledge for diagnosing faults of various power systems, and the corresponding expert knowledge may be stored according to a certain rule for easy calling. The expert knowledge base is adapted for independent configuration.

As shown in fig. 2, in this embodiment, the front-end server may collect the operating parameters of the power system in real time and perform the relevant data preprocessing. The front-end server is adapted to employ a standalone deployment.

As shown in fig. 2, in this embodiment, the analysis engine is used as a real-time inference engine, and can collect each observation information required for cache inference from the corresponding front-end server, and can search for appropriate expert knowledge from the expert knowledge base, thereby completing inference, and storing inference processes and intermediate conclusions in real time (i.e., the inference result of the analysis engine may include diagnosis intermediate conclusions). The analysis engine is preferably deployed independently to make the analytical reasoning process of the diagnostic system more efficient and reliable.

As shown in fig. 2, in the present embodiment, the operation workstation serves as a user client, and the displayed information includes operation information of a user system (client system). The operation workstation can specifically display real-time operation information of a user system, can also be used for displaying expert early warning information and expert diagnosis reports, and can also be used for starting functions such as diagnosis tracking, case inversion and the like. And the operation workstation can be used for starting the remote inquiry cloud expert system function. The operation workstation is arranged in a manner of being separately deployed from the server.

With continued reference to FIG. 2, the diagnostic system master station may also include a maintenance workstation. The maintenance workstation is used for realizing the maintenance of the diagnosis system. The maintenance workstation may be used for a user engineer (knowledge engineer) to perform maintenance on the diagnostic system. For example, modeling configuration of the power system and expert base knowledge maintenance are realized. In this embodiment, the maintenance workstations are independently deployed, which is beneficial to better implement their maintenance functions. In other embodiments, the maintenance workstation may also be incorporated with the operational workstation of the diagnostic system.

With continued reference to fig. 2, the diagnostic system master station may also include an emergency command center interface server. And the emergency command center interface server is used for being in communication connection with the enterprise emergency command center. The emergency command center interface server may be specifically responsible for real-time communication with the enterprise emergency command center. In this embodiment, the emergency command center interface server is deployed independently, and this structure can exert its effect more. In other embodiments, the emergency command center interface server may also be incorporated with the analysis engine or the operation workstation.

With continued reference to FIG. 2, the diagnostic system master station may also include a WEB server. The WEB server is used for realizing WEB publishing of information and short message (mobile information) pushing. The WEB server may specifically issue a report of the electronic system fault through WEB, and may notify relevant personnel of the corresponding fault information in time through a short message (mobile information) push mode or the like. In other embodiments, the WEB server may not be necessary, i.e., omitted.

With continued reference to fig. 2, the diagnostic system host may further include a cloud expert system interface server. And the cloud expert system interface server is used for being in communication connection with the cloud expert system. When the cloud expert system interface server is communicated with the cloud expert system, the fault diagnosis capability of the diagnosis system is expanded, and the fault cloud diagnosis is guaranteed. In the embodiment, the independent server is adopted, namely, the independent deployment structure is adopted, so that the cloud diagnosis is more efficient, safe, reliable and timely. In other embodiments, the cloud expert system interface server may also be merged with the WEB server.

With continued reference to fig. 2, the diagnostic system master station may also include a firewall. The WEB server and the cloud expert system interface server are isolated outside the firewall. Firewall is used for the safe subregion of system, and other parts of WEB server and high in the clouds expert system interface server and system are separated to this embodiment, reach the better protection to other structures, make the system more stable.

With continued reference to fig. 2, the diagnostic system master station may also include various network devices. These network devices are used to ensure communication of the system. As shown in fig. 2, the network device is specifically implemented by using a switch, and the main station of the diagnostic system shown in fig. 2 includes a first front-end switch, a second switch, and a third switch. For the first front-end switch of the main station of the diagnostic system, an optical fiber interface can be adopted according to the specific situation of an access system, and a switch with gigabit bandwidth is preferably selected. The second switch and the third switch can adopt the switch with the gigabit bandwidth.

With continued reference to fig. 2, the diagnostic system master station may also include an output device. The output device may specifically be a printer, as shown in fig. 2. The printer is used for printing corresponding fault reports, diagnosis reports and the like at any time.

Referring to fig. 2, in this embodiment, the system for accessing the master station of the diagnostic system includes a synchronous clock (system), an SCADA system, an IED (system), a security system, a security management and control platform system, and the like, through the front-end server. The synchronous clock is a power system synchronous clock and is used for ensuring the clock synchronization of data. The information protection system is a relay protection information processing system and is used for managing relay protection setting values, fault message information and the like.

As shown in fig. 2, the present embodiment uses a single front-end server, so this structure can be referred to as a single front-end single-network structure. The single-preposition single-network structure enables the internal network structure of the diagnosis system main station to be a single-network structure, and the structure is simpler, so the system cost can be reduced.

It should be noted that, as can be seen from the above contents in fig. 1 and fig. 2, each node in fig. 2 is a logic function defining node, and when actually deployed, the logic function nodes and the physical nodes may be completely in one-to-one correspondence according to the scheme in the figure, or the functional nodes may be tailored, the physical nodes may be merged, and the like according to needs. For example, as described above, for two logical function nodes, namely the operation workstation and the maintenance workstation, in the physical implementation, one workstation computer can be used for implementation.

As can be seen from fig. 1 and fig. 2, in this embodiment, a station end of an expert system for power system fault diagnosis is deployed at a station control layer, and a diagnosis system master station may be specifically deployed at a scheduling center station end, a centralized control center station end, or a substation station end. A forwarding channel between the SCADA system and the expert system station side is opened, and real-time information required by the expert system in each substation of the whole plant can be forwarded to the expert system station side by an IEC 60870-5-104 or IEC61850 standard protocol. The deployment scheme can fully reuse resources and has good practicability for both new projects and existing project reconstruction.

Example two

An embodiment of the present invention provides a method for calibrating real-time information of an electrical power system, referring to fig. 3, including:

s0, collecting panoramic information of the power system in real time;

s1, carrying out information source classification calibration on the panoramic information;

s2, carrying out information type classification and calibration on the panoramic information;

s3, carrying out time condition calibration on the panoramic information;

s4, carrying out information availability calibration on the panoramic information;

s5, performing fault diagnosis requirement classification screening on the panoramic information after the information source classification calibration, the information type classification calibration, the time condition calibration and the information availability calibration, and taking the selected panoramic information as selected calibration information to participate in fault diagnosis.

In this embodiment, the above-mentioned corresponding method may be one of the parts of the fault diagnosis method, and therefore, the diagnostic system provided in the foregoing embodiments of the present specification may be used to implement the fault diagnosis method. Accordingly, the fault diagnosis described in the present embodiment may be a corresponding fault expert conclusion (diagnosis implemented by the fault patent diagnosis system).

It should be noted that, in other embodiments, a corresponding calibration method may also be implemented in other systems, and accordingly, the method of this embodiment may also be a part of other methods, instead of a part of the fault diagnosis method.

Therefore, in the process of step S5, the corresponding expert diagnostic system may perform expert calibration on the corresponding information in the collected information table, and the information after expert calibration is only involved in expert diagnosis.

In this embodiment, performing information source classification and calibration on the panoramic information includes: and obtaining different types of information sources, and setting the diagnostic attribute corresponding to each information source.

Specifically, the embodiment may automatically classify and calibrate the received information (in the failure expert diagnosis system) according to the data forwarding protocol and the front-end processor deployment scheme for data acquisition according to the information source. And, the diagnostic attributes corresponding to each information source are set, a typical information source supported and the corresponding diagnostic attributes are shown in table 1.

TABLE 1

As shown in table 1, through the calibration of the information source, what kind of subsequent diagnosis the corresponding information is used for is also set, so that the information is used more pertinently and efficiently in the subsequent diagnosis process.

In this embodiment, the classifying and calibrating the information types for the panoramic information includes: and classifying the information types of the panoramic information into telemetering, remote signaling deflection, event sequence recording, wave recording messages, state values and process values.

In this embodiment, the information source classification calibration and the information type classification calibration are associated. That is to say, in this embodiment, the data of different information sources may be divided into different information types, such as telemetry, telemetry shift, event sequence record (SOE), recording message, state value, process value, and the like. The information of different information types also plays different roles in expert diagnosis. They may be assigned to the same diagnostic attribute and thus may be associated together using the diagnostic attribute to form table 2 below.

TABLE 2

It should be noted that in other embodiments, the information types may be tabulated separately.

And carrying out time condition calibration on the panoramic information, including absolute time calibration and relative time calibration on the panoramic information.

In this embodiment, the absolute time of the information is based on the information occurrence time of the information source.

In this embodiment, the relative time calibration takes the occurrence time of the disturbance event as the time origin. I.e. the information relative time, first the "time origin" of the relative time scale is determined, which in this embodiment is the occurrence time of the disturbance event, and the relative time flag is 0.

In this embodiment, the precision of the relative time calibration is set to be millisecond. And automatically calculating the difference between the absolute time scale of other information and the absolute time scale of the origin information to form a relative time scale of the information, wherein the precision of the relative time scale is millisecond, so that the time of the embodiment can reach high precision, and more accurate and effective information is provided for fault diagnosis.

With the above arrangement, in this embodiment, the corresponding information time calibration is performed from two angles of "absolute time" and "relative time", and they are displayed in a unified table, so as to obtain table 3 below.

TABLE 3

Table 3 is an example of time scaling of information where "-" (minus) indicates that the information occurred before the time origin. Table 3 shows a time before and after calibration of fault data occurring at 13:12:22.144(13 hours 12 minutes 22.144 seconds) on a given day. The SOE information column is the specific content of the information, and different values (0 or 1) of the SOE value can indicate whether the corresponding SOE information corresponds to the action and is generated (or not to perform the action) at the corresponding time. For example, in table 3, a state with an SOE value of 1 may indicate closing, and a state with an SOE value of 0 may indicate opening.

In this embodiment, the information availability calibration of the panoramic information includes: and performing state evaluation on the panoramic data. During the status evaluation process, the present embodiment directly determines the availability of each piece of information (i.e., the result of the information availability calibration may be directly the result of the availability of each piece of information).

After the availability of each piece of information is determined, the results determined to be possible may be stored in a corresponding database for expert diagnosis. One result of the corresponding status evaluation and resulting information availability calibration results may be found in table 4 below.

TABLE 4

The "information source" in table 4 may be directly replaced with the corresponding "information source" when the previous step S1 has been performed. But, in contrast, when step S4 is performed first, the corresponding information source can be determined directly from the location (device and other corresponding topology) from which the information originates.

In table 4, the masked value is not available, and the auxiliary monitoring is an available value, although the diagnostic main criterion is not used, it is easy to know that the diagnostic main criterion is another available value, and at this time, the information availability calibration result can be obtained from the diagnostic attribute by returning to other tables.

In combination with the foregoing, in this embodiment, the panoramic information of the power system is collected in real time through one or more communication protocols of IEC61850, IEC-608780-5-104, IEC-60870-5-103, ModbusRTU, Modbus TCP, DNP, and COMTRADE. That is, the present embodiment employs multiple communication protocols to collect panoramic information in real time.

In this embodiment, information source classification calibration is performed on the panoramic information, then information type classification calibration is performed on the panoramic information, then time condition calibration is performed on the panoramic information, and finally information availability calibration is performed on the panoramic information. The calibration sequence of the mode has higher matching degree before and after, and saves more time and program resources.

However, it should be noted that, in other embodiments, the following four steps may be adjusted in any order: s1, carrying out information source classification calibration on the panoramic information; s2, carrying out information type classification and calibration on the panoramic information; s3, carrying out time condition calibration on the panoramic information; and S4, carrying out information availability calibration on the panoramic information.

In order to adapt to the corresponding calibration, in this embodiment, the system corresponding to the real-time information calibration method may have a complete application interface technology, for example, the corresponding method utilizes real-time connection with the SCADA, the process level IED, the information protection network, the device status monitoring system, and the production process. Through these types of real-time interfaces, panoramic data of the real-time operation of the power system is collected, and becomes a source for observing (collecting) information by the real-time signal calibration method. The interface protocol supports IEC61850, IEC-608780-5-104, IEC-60870-5-103, ModbusRTU, Modbus TCP, DNP, COMTRADE disturbance message file transmission and the like.

The corresponding method can also enable the corresponding system to have a real-time interface with an emergency command center. The development trend of modern industrial manufacturing enterprises is large-scale production, and unified collaborative office according to various professional nodes required by the production process is an effective organization form for improving the large-scale production efficiency. The emergency command center is one of the concrete implementation forms of the cooperative office. The corresponding system can communicate with the emergency command center in real time through modes such as a wired network or a wireless network, and the like, and reflects the prefabricated electric early warning (alarm) information to the command center in time, thereby providing a basis for global production emergency scheduling. Meanwhile, the emergency command center can also retrieve the relevant brief report of the corresponding system information, such as the real-time information calibration brief report.

The system corresponding to the real-time information calibration method of this embodiment may have a quasi-real-time interface with the management office network, for example, may adopt a WEB publishing manner to implement information interaction with the user management office network.

The system corresponding to the real-time information calibration method of this embodiment may have a quasi-real-time interface with the security management and control platform, for example, when an accident is handled, a corresponding work ticket/operation ticket may be called from the security management and control platform through the quasi-real-time interface.

The system corresponding to the real-time information calibration method of the embodiment may have a near real-time interface with the cloud expert platform. The operation data of the power system, the accident cases of the case base, the historical reports of the report base and the like can be interconnected with the cloud expert platform through the interface. Meanwhile, in the diagnosis process, the user can also open a cloud expert interface to ask specific problems for diagnosis from a cloud expert platform. The cloud interface supports modes such as the internet, a mobile communication network and the like.

The embodiment of the invention calibrates the data used by expert diagnosis according to each step, and calibrates the data by corresponding methods with different dimensions (the calibration standard is objective, the calibration process is automatically carried out by adopting a computer/server), thereby calibrating the panoramic real-time information data of electric power and electricity customers (electric power system customers and electricity customers) from four dimensions of information source, information type, time and information availability.

Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A real-time information calibration method for an electric power system is characterized by comprising the following steps:

collecting panoramic information of a power system in real time;

carrying out information source classification calibration on the panoramic information; the method comprises the following steps: obtaining different types of information sources, and setting corresponding diagnosis attributes of each information source;

carrying out information type classification calibration on the panoramic information; the method comprises the following steps: classifying the information types of the panoramic information into telemetering, remote signaling deflection, event sequence recording, wave recording messages, state values and process values; and the information source classification calibration and the information type classification calibration are correlated;

time condition calibration is carried out on the panoramic information, including absolute time calibration and relative time calibration are carried out on the panoramic information;

and carrying out information availability calibration on the panoramic information, wherein the information availability calibration comprises the following steps: performing state evaluation on the panoramic information;

and carrying out fault diagnosis requirement classification screening on the panoramic information subjected to the information source classification calibration, the information type classification calibration, the time condition calibration and the information availability calibration, wherein the selected panoramic information is taken as selected calibration information to participate in fault diagnosis.

2. The method for calibrating real-time information of a power system according to claim 1, wherein the relative time calibration uses the occurrence time of the disturbance event as a time origin.

3. The method for calibrating real-time information of an electric power system as claimed in claim 2, wherein the precision of the relative time calibration is set to millisecond.

4. The method for calibrating the real-time information of the power system as claimed in claim 1, wherein the panoramic information of the power system is collected in real time through one or more communication protocols of IEC61850, IEC-608780-5-104, IEC-60870-5-103, ModbusRTU, ModbusTCP, DNP, and COMTRADE.

5. The method for calibrating real-time information of an electric power system according to claim 1, wherein the panoramic information is calibrated in an information source classification manner, then the panoramic information is calibrated in an information type classification manner, then the panoramic information is calibrated in a time condition, and finally the panoramic information is calibrated in an information availability manner.