CN110059402B

CN110059402B - Intelligent substation configuration optimization method based on semantic modeling

Info

Publication number: CN110059402B
Application number: CN201910303684.5A
Authority: CN
Inventors: 吕航; 李力; 代小翔; 顾乔根; 丁杰
Original assignee: NR Electric Co Ltd; NR Engineering Co Ltd
Current assignee: NR Electric Co Ltd; NR Engineering Co Ltd
Priority date: 2019-04-16
Filing date: 2019-04-16
Publication date: 2022-07-22
Anticipated expiration: 2039-04-16
Also published as: CN110059402A

Abstract

The invention discloses an intelligent substation configuration optimization method based on semantic modeling, which comprises the steps of firstly carrying out 61850 modeling on secondary equipment according to the semantic; then configuring a system specification description SSD file, and associating each interval primary device with a standard interval name; assigning a standard LN for each interval primary equipment object in the SSD file, wherein the standard LN is used for associating LNs in a secondary equipment model; setting IED _ NAME according to an IED universal naming principle; directly associating the CID files of the secondary equipment model instances configured at each interval to the corresponding interval in the SSD, and establishing the corresponding relation between the standard LN and each secondary equipment LN instance; designing a universal configuration template of each functional module in the high-level application program based on the state information between the secondary devices; and instantiating the universal configuration templates of the functional modules one by one according to intervals to complete the automatic configuration work of the functional modules at the intervals. The method can obviously improve the working efficiency and quality of configuration of the high-level application function module of the intelligent station based on the secondary equipment state information.

Description

Intelligent substation configuration optimization method based on semantic modeling

Technical Field

The invention belongs to the technical field of intelligent substations, and particularly relates to an intelligent substation configuration optimization method based on semantic modeling.

Background

The IEC 61850 standard is a foundation for intelligent substation construction, and the 61850 series standard adopts an equipment-oriented object modeling technology and adapts to the requirement and development of application functions through model self-description. The method is limited by the knowledge of application requirements, the characteristics of model self-description are not fully reflected by secondary equipment modeling from the earliest 61850 application in China, 61850 is used as a universal communication protocol more, and for early digital substations, interoperation among equipment of different manufacturers can meet the primary application requirements, but with the continuous development of the intelligent substation technology, particularly the application of advanced application technologies such as intelligent station operation and maintenance based on secondary equipment information, the weakness of the equipment ICD model base becomes a main problem which increasingly hinders the development of the intelligent technology of the substation.

At present, a large number of general process I/O logical nodes GGIO are used in domestic secondary equipment, so that the physical meaning of a signal cannot be understood from the perspective of a model, such as: remote signaling signals of switch and knife switch positions in the protection device model are carried in the GGIO, standard XCBR and XSWI are not adopted, and the description of the signals is generally more random and is generally difficult to be processed uniformly by a computer program. Furthermore, the scattering of the associated signals in the secondary device among multiple LNs is not conducive for advanced applications to obtain the required associated information, such as: the transmitting and receiving light intensity, the temperature, the transmitting and receiving light intensity alarm and the temperature alarm lamp signal information of the same physical port are dispersed in a plurality of LNs such as SCLI, STMP, GGIO and the like.

On the other hand, 61850 defines a total station system specification description SSD (system specification description) file, describes a primary system structure and a secondary device association relationship, and is actually a file which supports the relationship, and through the primary and secondary device association relationship, useful information such as which secondary devices LN a certain primary device is associated with and which secondary devices LN are associated with the same interval can be obtained, but taking a medium-scale 220kV intelligent substation as an example, hundreds of secondary devices need to be associated with thousands of LNs with the primary device, which objectively brings a great obstacle to the application of the SSD file, in the current intelligent substation integration process, the secondary devices LN are basically not associated in the SSD file, and the SSD file is not configured at all.

In recent years, advanced application technologies for operation and maintenance of intelligent substations are continuously developed, functions based on secondary equipment information include homologous comparison and analysis of analog quantities and switching quantities derived from the same primary equipment, corresponding monitoring of states of primary and secondary equipment, online monitoring of states of secondary equipment, and the like, and configuration workload of current operation and maintenance software is analyzed below by way of example.

Fig. 2 is a schematic diagram of a configuration of a homologous comparison function of a duplexed protection current sampling value, and it can be seen from the diagram that in order to implement the homologous comparison function of duplexed protection current sampling values at each interval, A, B, C phase currents for two sets of protection need to be configured at intervals one by one, taking 15 intervals as an example, 90 points need to be configured, and if the comparison function of channels corresponding to duplexed protection, measurement and control and bus protection at each interval needs to be completed, configuration workload is increased by several times.

Fig. 3 is a schematic diagram of a configuration of a detection function corresponding to a state of a secondary device, and it can be seen from the diagram that, in order to implement the detection function of a corresponding relationship between a state of a primary device and a state of a protection device, a protection GOOSE sending soft pressing plate, a protection input pressing plate and a maintenance pressing plate need to be configured at intervals one by one, taking 15 intervals as an example, 90 points need to be configured for double protection, and a configuration workload of a state of a primary device is not taken into consideration.

In summary, since the association relationship between the primary and secondary devices is unknown, the data base of the high-level application based on the state information between the primary and secondary devices in the interval is poor, all configuration processes directly face the instantiated specific device model, the configuration result of a single interval cannot be reused, the application functions in each interval need to be configured with signals one by one, the configuration efficiency is extremely low, the configuration accuracy is difficult to guarantee, and once the model of a certain device changes, the related configuration work needs to be completed again.

Disclosure of Invention

The invention aims to provide an intelligent substation configuration optimization method based on semantic modeling, which can overcome the problems that in the prior art, because the semantics of a primary and secondary equipment model of a substation are unclear, the configuration process based on a secondary equipment state information high-level application function module directly faces to an instantiated specific device model, the configuration efficiency is extremely low, and the configuration correctness is difficult to ensure.

In order to achieve the above object, the solution of the present invention comprises the steps of:

an intelligent substation configuration optimization method based on semantic modeling comprises the following steps:

step 1, carrying out 61850 modeling on secondary equipment according to semantics;

step 2, configuring a system specification description SSD file, and associating standard interval names with each interval primary device;

step 3, appointing a standard LN for each interval primary equipment object in the SSD file, and associating the LNs in the secondary equipment model;

step 4, setting IED _ NAME according to an IED universal naming principle;

step 5, directly associating the CID files of the secondary equipment model instances configured at each interval to the corresponding interval in the SSD, and establishing the corresponding relation between the standard LN and each secondary equipment LN instance;

step 6, designing a universal configuration template of each functional module in the high-level application program based on the state information between the secondary devices;

and 7, instantiating the universal configuration templates of the functional modules one by one according to intervals to complete the automatic configuration work of the functional modules at the intervals.

After the scheme is adopted, each interval in the SSD file is associated with a standard interval name and a standard Logical Node (LN) based on semantic modeling of the secondary equipment and system specification description, the corresponding relation between the standard LN and each interval secondary equipment LN instance is automatically established, and the general configuration templates of each function module in the intelligent station high-level application program are instantiated one by one according to the intervals, so that the automatic configuration work of each interval high-level application function module can be completed. Therefore, the invention can obviously improve the working efficiency and quality of configuration of the intelligent station based on the secondary equipment state information advanced application function module.

Drawings

FIG. 1 is a flow chart of the present invention;

FIG. 2 is a schematic diagram of a functional configuration for comparing the sampled values of the dual protection currents with the same source;

FIG. 3 is a schematic diagram of a secondary device status mapping detection function configuration;

FIG. 4 is a schematic diagram of physical port state logical node modeling;

fig. 5 is a schematic diagram of SSD modeling of a substation primary system;

FIG. 6 is a schematic diagram of a main transformer interval logical node association;

fig. 7 is a schematic diagram of a functional configuration template for comparing the sampling values of the dual protection currents.

Detailed Description

The technical solution and the advantages of the present invention will be described in detail with reference to the accompanying drawings.

The invention provides an intelligent substation configuration optimization method based on semantic modeling, which describes standard interval names and standard LNs associated with intervals in an SSD file based on secondary equipment semantic modeling and system specifications, and establishes a corresponding relation between the standard LNs and each secondary equipment LN instance by associating each interval secondary equipment CID file to a corresponding interval in the SSD. Based on the corresponding relation between each interval standard LN and the instance of the secondary equipment LN, the general configuration templates of each function module in the advanced application program of the intelligent station are instantiated one by one according to the interval, and then the automatic configuration work of each interval function module is completed.

The implementation steps of the invention are as follows:

step 41, according to the steps shown in fig. 1, when the secondary device is modeled semantically, the following principles are strictly followed:

1) relevant information is borne on a special LN for 61850, GGIO logical nodes with unknown semantics are avoided as much as possible, and self-description of model semantics is realized to the maximum extent;

2) according to the LN extension principle of 61850, signals related to the same function are integrated in one LN. Taking modeling of physical port information as an example, a physical port state LN can be expanded, which contains information such as an alarm signal, a light intensity temperature measurement value, and an alarm threshold parameter, as shown in fig. 4;

3) the intelligent station secondary equipment is provided with a station control layer and a process layer access point, the signals of different access points have relevance, the signals related to different access points with the same function adopt the same type LN with the same prefix, and the relevance relation of the signals is reflected. For the cross-interval secondary equipment, in order to establish the correlation relation of related signals of different access points, the same type LN with the same prefix is adopted;

4) in order to reduce the workload associated with the primary equipment and the secondary equipment LNs, for inter-BAY protection such as bus protection and main transformer protection, a prefix of a standard BAY name of the primary equipment is adopted to distinguish different BAYs LNs, for example, an LN corresponding to a measured value of a 5 th BAY in bus protection can be named BAY 5-MMXU.

Step 42, configuring a system specification description SSD file, as shown in fig. 5, associating standard interval names such as BUSx, BAYx, etc. with each interval primary device, so as to associate with a relevant LN in the inter-interval secondary device;

step 43, assigning standard LNs such as MMXU, PTRC, etc. to each interval primary device object in the SSD file so as to match LNs in related secondary devices, taking the main transformer interval as an example, where the standard LNs are shown in fig. 6;

step 44, according to the universal naming principle of IED, setting IED _ NAME according to the structure of IED type, attribution equipment type, voltage class, attribution equipment number, and serial number of the same type device in the bay, such as: the 220kV interval 3 second set of line protection is PL2203B, and the 110kV first set of bus protection is PM 1112A;

step 45, directly associating the CID file of the secondary equipment model instance configured in each bay to a corresponding bay in the SSD, establishing a corresponding relationship between the standard LN and each secondary equipment LN instance, and defining the type of the secondary equipment through the standard IED _ NAME, so as to automatically associate the LN of the single-bay secondary equipment to the bay primary equipment, automatically associate the LN of the inter-bay secondary equipment to each related bay primary equipment, taking the association of the main transformer bay LN as an example, as shown in fig. 6;

step 46, based on the high-level application of the state information between the secondary devices, designing a general configuration template of each functional module in the high-level application program of the intelligent station according to the standard secondary device LN in the SSD, taking a configuration template with the function of comparing the same source of the duplicate protection current sampling values as an example, as shown in fig. 7;

and step 47, instantiating the general configuration templates of the function modules in the high-level application program of the intelligent station one by one according to intervals based on the corresponding relation between each interval standard LN and the instance of the secondary equipment LN, and completing the automatic configuration work of the high-level application function modules of each interval. Taking a configuration template with a double protection current sampling value homology comparison function as an example, a branch 3 standard logic node BAY3.MMXU corresponds to a first set of line protection LN instance PL2203A/MMXU2 and a second set of line protection LN instance PL2203B/MMXU1, and a configuration tool directly substitutes LN instance numbers into specific signal addresses such as PL2203A/MMXU2.A. phSA. cVal. mag.f and PL2203B/MMXU1.A. phSC. cVal. mag.f, so that configuration work is automatically completed.

When a certain secondary equipment model changes, the configuration updating work can be completed only by executing step 45 again to refresh the corresponding relation between the standard LN and the secondary equipment LN instance and executing step 47 to refresh the function module configuration information related to the equipment model.

The above embodiments are only for illustrating the technical idea of the present invention, and the technical idea of the present invention is not limited thereto, and any modifications made on the basis of the technical solution according to the technical idea of the present invention fall within the protective scope of the present invention.

Claims

1. An intelligent substation configuration optimization method based on semantic modeling is characterized by comprising the following steps:

step 4, setting IED _ NAME according to an IED universal naming principle;

step 5, directly associating the CID files of the secondary equipment model instances configured at intervals to corresponding intervals in the SSD, and establishing a corresponding relation between the standard LN and each secondary equipment LN instance;

step 7, instantiating the universal configuration templates of the functional modules one by one according to intervals to complete the automatic configuration work of the functional modules at the intervals;

in the step 1, the principle that the secondary equipment carries out 61850 modeling according to meanings is that relevant information is borne by a 61850 special LN, and GGIO logical nodes are avoided; according to the LN extension principle of 61850, signals related to the same function are integrated in one LN; reflecting the correlation relation of related signals of different access points with the same function by adopting the same type LN with the same prefix; standard interval name prefixes are used to distinguish LNs that span different intervals in interval protection.

2. The intelligent substation configuration optimization method based on semantic modeling according to claim 1, characterized in that: in the step 2, the standard interval name associated with each interval primary device includes a bus, a branch interval, and a winding on each side of a main transformer, and the standard interval name associated with each interval primary device corresponds to a standard interval name prefix in the inter-interval protection.

3. The intelligent substation configuration optimization method based on semantic modeling according to claim 1, characterized in that: in the step 3, the standard LN specified for each interval primary device object in the SSD file includes function, measurement, and input/output interface LN in the secondary device model.

4. The intelligent substation configuration optimization method based on semantic modeling according to claim 1, characterized in that: in step 4, the IED _ NAME is set according to the structure of IED type, home device type, voltage class, home device number, and serial number of the same type of device in the bay by the IED generic naming principle.

5. The intelligent substation configuration optimization method based on semantic modeling according to claim 1, characterized in that: in step 5, establishing a corresponding relationship between the standard LN and each secondary device LN instance includes automatically associating the LN of the single-bay secondary device to the bay primary device, automatically associating the LN of the inter-bay secondary device to each related bay primary device, and explicitly associating the secondary device type through the IED _ NAME.

6. The intelligent substation configuration optimization method based on semantic modeling according to claim 1, characterized in that: in the step 6, a general configuration template of each functional module in the high-level application program is designed, and the general configuration template acquires a configuration signal by using a standard secondary device LN in the SSD.

7. The intelligent substation configuration optimization method based on semantic modeling according to claim 1, characterized in that: in step 7, when instantiating each interval of the general configuration template of the function module, the standard LN in the general configuration template is replaced with the LN instance corresponding to each interval secondary device.

8. The intelligent substation configuration optimization method based on semantic modeling according to claim 1, characterized in that: and when a certain secondary equipment model is changed, re-executing the step 5 to refresh the corresponding relation between the standard LN and the secondary equipment LN instance, and executing the step 7 to refresh the function module configuration information related to the equipment model.