CN110086166B - Method and system for representing stable operation quota of power grid - Google Patents
Method and system for representing stable operation quota of power grid Download PDFInfo
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- CN110086166B CN110086166B CN201910268320.8A CN201910268320A CN110086166B CN 110086166 B CN110086166 B CN 110086166B CN 201910268320 A CN201910268320 A CN 201910268320A CN 110086166 B CN110086166 B CN 110086166B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Supply And Distribution Of Alternating Current (AREA)
Abstract
A method and a system for representing a stable operation limit of a power grid comprise the following steps: constructing a representation model in an object-oriented mode based on the power grid stable operation rule; carrying the obtained power grid dispatching system data into a representation model for instantiation; and representing the real-time data of the monitored equipment by using the instantiated representation model. The method can effectively acquire and represent various limits specified by the stable operation of the power grid, and forms various examples of the limits, thereby laying a foundation for intelligent compiling of accident plans.
Description
Technical Field
The application relates to the field of power system analysis and power system automation, in particular to a method and a system for representing stable operation limits of a power grid.
Background
The method is characterized in that a power grid accident planning is an important means for dispatching operators to deal with sudden power grid faults, and has the main functions of predicting power grid accidents, analyzing weak links of power grid operation by combining various factors such as weather, equipment and human beings, simultaneously considering a power grid operation mode, constructing a comprehensive predicted fault set, rapidly analyzing and scanning the pre-faults, analyzing the influence range and risk, and planning the power grid accident planning according to various regulation and control rules, thereby providing thought and basis for accident handling.
The power grid stable operation standard is an important basis for planning a power grid accident plan and is determined by power grid accident history data, and the main function of the power grid stable operation standard is to clearly define various control requirements in real-time dispatching operation of the power grid, avoid the occurrence of accidents again as much as possible, and the power limit, limit monitoring requirement and rule, operation control requirement after the accident and the like of various power transmission section control equipment of the power grid are critical to the dispatching operation of the power grid. In the accident planning process, the power grid stable operation rule is firstly acquired and translated into a power grid accident planning knowledge base.
The current power grid stable operation regulation and accident planning are mainly performed manually, and the intelligent operation is not realized yet, so that the efficiency is low, the accident response speed is low, and complex accidents are not easy to deal with.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides a method and a system for representing the stable operation limit of a power grid.
The technical scheme provided by the application is as follows:
a method of representing a grid steady operation quota, the method comprising:
constructing a representation model in an object-oriented mode based on the power grid stable operation rule;
carrying the obtained power grid dispatching system data into a representation model for instantiation;
representing the real-time data of the monitored equipment by using the instantiated representation model;
wherein the representation model comprises: and (5) various limits and various layers of models.
Preferably, the constructing the representation model based on the grid stable operation rule in an object-oriented manner includes:
based on the structure of quota classification condition combined with object-oriented knowledge representation in the power grid stable operation regulation, constructing a parent class based on each quota classification;
based on the quota classification condition, decomposing the quota content of each type respectively, and determining a hierarchical structure in various types of quota;
establishing all levels of subclasses under parent classes corresponding to various types of quota based on the hierarchical structure of each quota classification in combination with object-oriented knowledge representation;
constructing an object-oriented basic representation model based on the bottom subclass corresponding to the quota classification hierarchy;
wherein the object-oriented base representation model comprises: class variable tables represent models, structures represent models, methods represent models, and methods represent models.
Preferably, the building of the class variable table representation model includes:
acquiring the power grid names of the various limits, the control equipment and the elements;
establishing a corresponding object-oriented class representation name based on the grid name;
and constructing a class variable table representation model based on the representation name of the object-oriented class.
Preferably, the building of the Structure representation model includes:
acquiring the number, the name, the type, the sending end name, the monitoring unit and the stability quota of the control equipment;
and respectively representing the number, the name, the type, the sending end name, the monitoring unit and the stability quota by adopting an object-oriented mode based on the number, the name, the type, the sending end name, the monitoring unit and the stability quota of the control equipment.
Preferably, the Method for constructing the representation model includes:
based on the Structure representation model, acquiring real-time active power of each element of the control equipment and a control equipment stability limit;
calculating the sum of real-time active power of the elements;
and comparing the real-time active power sum of each element based on the control equipment stability limit to obtain a comparison result.
Preferably, the constructing of the restyling representation model includes:
acquiring a monitoring condition type;
acquiring a monitored element of each type of the monitoring condition and a range of each monitoring element based on the type of the monitoring condition;
based on the number and the names of the monitored elements, the object-oriented representation is adopted respectively.
Preferably, the step of bringing the acquired real-time data of the power grid into the representation model for instantiation includes:
acquiring power grid model data from a power grid dispatching system based on classification of the stability point quota;
after decomposing the power grid model data, carrying the power grid model data into the object-oriented basic representation model;
and setting a stability quota for the object-oriented basic representation model based on the decomposed power grid model data.
Preferably, the representing the real-time data of the monitored equipment by using the instantiated representation model includes:
acquiring real-time data of monitored equipment;
calling a corresponding object-oriented basic representation model based on the real-time data;
and representing the acquired real-time data based on the object-oriented basic representation model.
Preferably, the representing the acquired real-time data based on the object-oriented basic representation model further includes:
acquiring a corresponding representation model based on real-time data of the monitored equipment;
the real-time data of the monitored equipment are brought into a corresponding class variable table representation model, a Structure representation model and a restration representation model, and a Method representation model is called for data comparison;
if the real-time data of the monitored equipment is in the set range of the Method representation model, the running data are matched with the stability quota set in the Structure representation model;
and otherwise, re-selecting the Structure representation model until the Structure representation model is matched with the stability limit set in the Structure representation model, and determining the stability limit of the detection line.
A system for representing a grid steady operation quota, the system comprising:
the construction module comprises: the method is used for constructing a representation model in an object-oriented mode based on the power grid stable operation rule;
and (3) carrying into a module: the method comprises the steps of carrying acquired power grid dispatching system data into a representation model for instantiation;
the representation module: the real-time data of the monitored equipment are represented by the instantiated representation model;
wherein the representation model comprises: and (5) various limits and various layers of models.
Preferably, the building module includes: parent class units, hierarchical units, child class units and model units;
the parent class unit is used for constructing a parent class based on each quota classification based on the structure of the quota classification condition combined with the object-oriented knowledge representation in the power grid stable operation regulation;
the hierarchy unit is used for decomposing the quota content of each type based on the quota classification condition and determining the hierarchy structure in various types of quota;
the subclass unit is used for establishing all levels of subclasses under corresponding parent classes of various types of quota based on the hierarchical structure of each quota classification and the object-oriented knowledge representation;
the model unit is used for constructing an object-oriented basic representation model based on the bottom subclass corresponding to the quota classification hierarchy;
wherein the object-oriented base representation model comprises: class variable tables represent models, structures represent models, methods represent models, and methods represent models.
Compared with the prior art, the application has the beneficial effects that:
the technical scheme provided by the application comprises the following steps: constructing a representation model in an object-oriented mode based on the power grid stable operation rule; carrying the obtained power grid dispatching system data into a representation model for instantiation; and representing the real-time data of the monitored equipment by using the instantiated representation model. The method can effectively acquire and represent various limits specified by the stable operation of the power grid, and forms various examples of the limits, thereby laying a foundation for intelligent compiling of accident plans.
Drawings
FIG. 1 is a schematic diagram of a grid stability quota representation method of the present application;
FIG. 2 is a detailed step diagram of the grid stability quota representation method of the present application;
FIG. 3 is a classification diagram of the grid stabilization limits of the present application;
fig. 4 is a classification diagram of the monitoring conditions of the grid stability quota of the present application.
Detailed Description
For a better understanding of the present application, reference is made to the following description, drawings and examples.
Example 1:
the automatic identification device mainly solves the problem of automatic identification of stable regulations and lays a foundation for intelligent compiling of accident plans.
As shown in fig. 1, the steps are as follows:
step one: constructing a representation model in an object-oriented mode based on the power grid stable operation rule;
step two: carrying the obtained power grid dispatching system data into a representation model for instantiation;
step three: representing the real-time data of the monitored equipment by using the instantiated representation model;
wherein the representation model comprises: and (5) various limits and various layers of models.
The data of the power grid dispatching system obtained in the embodiment takes the power grid dispatching system D5000 as an example, and the D5000 is a new generation intelligent power grid dispatching technical support system basic platform, meets the requirements of a five-level dispatching control system in a large-operation system of a power grid company, and realizes the functions of remote retrieval, alarm direct transmission, transverse penetration and longitudinal management. And D5000 system fuses all data of scheduling plan, water supply condition, weather change and the like together, and can perform comprehensive analysis.
The development of the artificial intelligence related technology provides technical support for the realization of an intelligent compiling system of the power grid accident plan. The knowledge representation method of artificial intelligence comprises a first-order predicate logic representation method, a production expression representation method, a semantic network representation method, a framework representation method, an object-oriented representation method and the like, wherein the object-oriented knowledge representation method takes a data structure for describing an object as a center to construct a system, and is a mode directly corresponding to human cognition and objective object recording. It introduces the concept of object class and message passing, the concept of class reflects the generalized abstraction of human awareness things from special to general, while inheritance implements the deduction process from general to special. As shown in fig. 2, it is therefore fully feasible to use the object-oriented approach for knowledge representation of grid steady operation regulations, in line with the human normal thought process.
"class" structure of object-oriented knowledge representation:
class name [: < parent name > ]
[ < class variable table > ]
Structure < description of static Structure of object >
Method < definition of operations on objects)
Restrant < constraint >
EndClass
Description:
class: is the start identification of the class description.
< class name >: is the name of the class, which is the unique identification of the class in the system.
< parent name >: optionally, indicating the parent of the currently defined class, indicating the content of the inherited parent, the item may be default if inherited.
< class variable table >: is a sequence of variable names, all objects in the class share the variables, which are global variables for the class of objects, and when the variables are instantiated as a specific set of values, a specific object in the class, i.e., an instance, is obtained.
Structrue: the following < static structure description of object > is used to describe the way the object is constituted.
Method of: the following < operation definition for objects > is used to define various operations that can be performed on class elements, either as a set of rules or as a piece of program that needs to be executed in order to implement the corresponding operation.
Restaint: the following < constraint > indicates that the constraint that the class element should satisfy can be formed with predicates that contain class variables, indicating that there is no constraint when he is not present.
EndClass: and (5) identification of the ending class.
Step one: constructing a representation model in an object-oriented mode based on the power grid stable operation rule;
the stability quota classifications and hierarchies of the stability operation rules are shown in FIG. 3 and are divided into two main classes: normal mode stability limits and service mode stability limits. The normal mode stable limit is divided into a stable limit without monitoring condition requirements in the normal mode and a stable limit with monitoring condition requirements in the normal mode; the maintenance mode stabilization limit is divided into a stabilization limit without monitoring condition requirements in the maintenance mode and a stabilization limit with monitoring condition requirements in the maintenance mode.
The types of the monitoring conditions are as shown in fig. 4, and mainly comprise 5 types: the method comprises the steps of associating quota constraint, station security function constraint, direct current power and security function constraint, power supply startup mode constraint and related equipment operation mode constraint.
A complete complex steady quota of monitored conditions may contain multiple different or identical types of monitored conditions.
Decomposing different types of quota content according to the quota classification condition and the class structure of the object-oriented knowledge representation method, and determining a hierarchical structure;
according to the limit classification condition, decomposing different types of limit contents respectively, and determining hierarchical structures in various limits;
establishing an object-oriented knowledge representation model of each hierarchy (comprising class variable tables, structure, method and restint) of each class of stability quota according to the determined hierarchy structure;
(1) Object-oriented knowledge representation of normal operation mode stability limits
1) Object-oriented knowledge representation requiring stable quota without monitoring conditions
The stability Limit00 (the first "0" indicates the normal mode, the second "0" indicates the requirement without the monitored condition) of the normal mode without the monitored condition is the simplest stability Limit rule of the most basic among the stable operation rules, and the class definition in the object-oriented knowledge representation method is as follows:
the Limit00 structure described above:
(1) the names of the elements are represented by a two-dimensional array YJ [ n ] [2], wherein YJ [ n ] [1] represents the Chinese names of the elements, YJ [ n ] [2] represents the key word ID number of the elements in the D5000 model, and n is the number of the elements of the control equipment. I.e. each element name can be represented in a two-dimensional number.
Such as "Jiang Lian I line" can be represented as (Jiang Lian I line, 5188561), where "5188561" is then the keyword ID number of "Jiang Lian I line" in the D5000 model.
When the number of elements of the control device n=2, then the name structure of each element may be expressed as { (YJ [1] [1], YJ [1] [2 ]); (YJ 2 [1], YJ 2 [2 ]).
(2) Real-time active power is obtained at D5000 by matching the key ID number of the second dimension array of control device element names.
(3) Comparison of XE and P Σ : if XE is greater than or equal to P Σ The control device is in a safe operating state; if XE<P Σ The control device has potential safety hazard and gives an alarm in real time.
2) Knowledge representation of stability quota with monitored conditions
The normal mode has the stability Limit class Limit01 of the monitoring condition ("0" means the normal mode, "1" means the requirement of the monitoring condition), on the basis of the normal mode has no stability Limit Limit00 class of the monitoring requirement, the class condition Restrant is added, namely, the structure body of the Limit00 class can be inherited.
Analyzing the stable operation regulations of the power grid, and dividing monitoring requirements and descriptions into 5 types: the method comprises the steps of associating quota constraint, station security function constraint, direct current power and security function constraint, power supply startup mode constraint and related equipment operation mode constraint. A complete complex knowledge representation of the steady quota of monitored conditions may contain multiple different and identical categories of monitored condition classes restrap.
Knowledge of each class of monitored conditions is expressed as follows:
a. monitoring condition class associated with quota constraints
(1) The two-dimensional array is used to represent the name of each monitored element, JK [ k ] [1] represents the Chinese name of each element, JK [ k ] [2] represents the keyword ID number of each element in the D5000 model.
(2) Real-time active power is obtained at D5000 by matching the second dimension array key ID numbers of each monitoring element name.
(3) If P JKΣ At [ P ] JKΣmin ,P JKΣmax ]Within the range (i.e. P JKΣmin ≤P JKΣ ≤P JKΣmax ) The power of the monitoring element meets the association requirement of the current quota of the control equipment element; if P JKΣ Is not at [ P ] JKΣmin ,P JKΣmax ]Within the range (i.e. P JKΣ Not more than or equal to P JKΣ ≥P JKΣmax ) Then the power of the monitoring element is indicatedThe association requirements of the current quota of the control device element are not met and a re-association is required.
b. Monitoring condition class of security control function constraint of factory station
(1) JKZ includes the chinese name of the monitored substation and its key ID number in the D5000 model.
(2) AK is a 01 variable, ak=0 indicating that security control is not available; ak=1 indicates that security is available.
(3) The two-dimensional array is used for representing the name of each monitored power plant, JK [ k ] [1] is used for representing the Chinese name of each element, and JK [ k ] [2] is used for representing the keyword ID number of each element in the D5000 model.
(4) And obtaining the number of the cuttable units of the power plant at D5000 by matching the ID numbers of the second-dimension array keywords of the names of the monitoring power plants.
(5) If KQ 1 In [ KQ 1min ,KQ 1max ]Within the range, the monitoring requirement of the current limit of the control equipment element is met; otherwise, the power of the monitoring element does not meet the monitoring requirement of the current limit of the control equipment element, and the limit value needs to be matched again.
c. Monitoring condition class of direct current power and safety control function constraint
(1) The ZL contains the Chinese name of the direct current and the keyword ID number in the D5000 model corresponding to the direct current.
(2) AK is as defined above.
d. Monitoring condition class of power supply starting mode constraint
(1) SD is a 01 variable, sd=0 represents the hydroelectric small hair mode, and sd=1 represents the hydroelectric large hair mode.
e. Monitoring condition class of related equipment operation mode type
(1) TY is a 01 variable, ty=0 represents the equipment off-line state, and ty=1 represents the equipment on-line state.
(2) Object-oriented knowledge representation of maintenance operation mode stability quota
1) Object-oriented knowledge representation requiring stable quota without monitoring conditions
Definition of stability Limit10 for no monitoring conditions in service mode ("1" means service mode, "0" means requirement for no monitoring conditions):
(1) other components may be adjusted in a manner during servicing of an apparatus.
(2) The adjustment of the way of other elements than the service equipment will be described by a new class in combination with the production expression.
Compared with the normal mode non-monitoring condition stabilization Limit00 class, the maintenance mode non-monitoring condition stabilization Limit is added with one more < maintenance equipment element name > and other element related mode adjustment class in the Structure module, and the definition is as follows:
(1) the relevant adjustment actions may be: the method comprises the following steps of changing a certain two lines into a ring for operation, changing positive and negative buses of a certain transformer substation into a row or parallel operation, adjusting the connection of the two lines of the certain transformer substation, accompanying and stopping a main transformer or a unit, and operating the two transformer substations in a combined supply area.
2) Knowledge representation of stability quota with monitored conditions
The Limit11 (the first "1" indicates the maintenance mode and the second "1" indicates the requirement of the monitored condition) is added with the constraint term respaint based on the Limit10 of the maintenance mode without the monitored condition. The definition of the structure is as follows:
step two: carrying the obtained power grid dispatching system data into a representation model for instantiation;
acquiring corresponding power grid model data based on a D5000 system and power grid stable operation regulations;
and (3) realizing instantiation of various quota knowledge expressions in the power grid steady operation regulation document by combining the power grid steady operation quota object-oriented model established in the step one and the acquired real-time model data.
Step three: representing the real-time data of the monitored equipment by using the instantiated representation model;
(1) Example 1: knowledge representation of a steady quota with monitoring conditions in normal operation mode
Taking Jiang Lian I line and Jiang Lian II line double-line quota as examples, as shown in table 1, the monitoring condition class of the associated quota constraint and the monitoring condition class of the security control function constraint of the plant station are included.
Table 1 stability quota for Jiang Lian double line under normal operation mode
Note that: (1) x represents the value of the quota and is replaced by a variable as it relates to the private file.
The object-oriented knowledge of the Jiang Lian I line, jiang Lian II line double-line quota is expressed as follows:
/>
note that: (1) the installed number of the door power plants is 4, so the maximum number of the cuttable units of the door power plants is 4.
(2) When judging KQ 1 In [1,1]Within a range and KQ 2 In [1,4 ]]In the range, the limit of the section can be matched with the limit of x thousands of watts in the Structure, otherwise, the limit corresponds to another Class<Limit01>Quota value in the example.
(2) Example 2: knowledge representation of a stable quota adjusted in a manner in a service mode
Taking the quota of the two main transformers of the lan station in the lan station 1 main transformer overhauling mode as an example, as shown in table 2, the quota related to the monitoring condition class of the quota constraint and the monitoring condition class of the security control function constraint of the station are included.
Table 2 stable quota for remaining two main transformers in lan pavilion No. 1 main transformer overhaul mode
Note that: (1) z represents the value of the quota and is replaced by a variable as it relates to the private file.
Example 2:
based on the same inventive concept, the application also provides a system for representing the stable operation limit of the power grid, which comprises:
the construction module comprises: the method is used for constructing a representation model in an object-oriented mode based on the power grid stable operation rule;
and (3) carrying into a module: the method comprises the steps of carrying acquired power grid dispatching system data into a representation model for instantiation;
the representation module: the real-time data of the monitored equipment are represented by the instantiated representation model;
wherein the representation model comprises: and (5) various limits and various layers of models.
Preferably, the building module includes: parent class units, hierarchical units, child class units and model units;
the parent class unit is used for constructing a parent class based on each quota classification based on the structure of the quota classification condition combined with the object-oriented knowledge representation in the power grid stable operation regulation;
the hierarchy unit is used for decomposing the quota content of each type based on the quota classification condition and determining the hierarchy structure in various types of quota;
the subclass unit is used for establishing all levels of subclasses under corresponding parent classes of various types of quota based on the hierarchical structure of each quota classification and the object-oriented knowledge representation;
the model unit is used for constructing an object-oriented basic representation model based on the bottom subclass corresponding to the quota classification hierarchy;
wherein the object-oriented base representation model comprises: class variable tables represent models, structures represent models, methods represent models, and methods represent models.
It will be apparent that the described embodiments are some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is illustrative of the present application and is not to be construed as limiting thereof, but rather as providing for the use of additional embodiments and advantages of all such modifications, equivalents, improvements and similar to the present application are intended to be included within the scope of the present application as defined by the appended claims.
Claims (9)
1. A method of representing a grid steady operation limit, the method comprising:
constructing a representation model in an object-oriented mode based on the power grid stable operation rule;
carrying the obtained power grid dispatching system data into a representation model for instantiation;
representing the real-time data of the monitored equipment by using the instantiated representation model;
wherein the representation model comprises: various limits and various layers of models;
the method for constructing the representation model by adopting an object-oriented mode based on the power grid stable operation regulation comprises the following steps:
based on the structure of quota classification condition combined with object-oriented knowledge representation in the power grid stable operation regulation, constructing a parent class based on each quota classification;
based on the quota classification condition, decomposing the quota content of each type respectively, and determining a hierarchical structure in various types of quota;
establishing all levels of subclasses under parent classes corresponding to various types of quota based on the hierarchical structure of each quota classification in combination with object-oriented knowledge representation;
constructing an object-oriented basic representation model based on the bottom subclass corresponding to the quota classification hierarchy;
wherein the object-oriented base representation model comprises: class variable tables represent models, structures represent models, methods represent models, and methods represent models.
2. The representation of claim 1, wherein the class variable table representation model construction comprises:
acquiring the power grid names of the various limits, the control equipment and the elements;
establishing a corresponding object-oriented class representation name based on the grid name;
and constructing a class variable table representation model based on the representation name of the object-oriented class.
3. The representation of claim 1, wherein the construction representation model construction comprises:
acquiring the number, the name, the type, the sending end name, the monitoring unit and the stability quota of the control equipment;
and respectively representing the number, the name, the type, the sending end name, the monitoring unit and the stability quota by adopting an object-oriented mode based on the number, the name, the type, the sending end name, the monitoring unit and the stability quota of the control equipment.
4. A representation according to claim 3, wherein the Method representation model construction comprises:
based on the Structure representation model, acquiring real-time active power of each element of the control equipment and a control equipment stability limit;
calculating the sum of real-time active power of the elements;
and comparing the real-time active power sum of each element based on the control equipment stability limit to obtain a comparison result.
5. The representation method of claim 4, wherein the constructing of the restint representation model comprises:
acquiring a monitoring condition type;
acquiring a monitored element of each type of the monitoring condition and a range of each monitoring element based on the type of the monitoring condition;
based on the number and the names of the monitored elements, the object-oriented representation is adopted respectively.
6. The method of claim 5, wherein the bringing the acquired grid dispatching system data into the representation model for instantiation comprises:
acquiring corresponding power grid model data from a power grid dispatching system based on the classification of the stability quota;
after decomposing the power grid model data, carrying the power grid model data into the object-oriented basic representation model;
and setting a stability quota for the object-oriented basic representation model based on the decomposed power grid model data.
7. The method of representing as recited in claim 6, wherein said representing monitored device real-time data with the instantiated representation model comprises:
acquiring real-time data of monitored equipment;
calling a corresponding object-oriented basic representation model based on the real-time data;
and representing the acquired real-time data based on the object-oriented basic representation model.
8. The representation of claim 7, wherein the representing the real-time data acquired based on the object-oriented base representation model further comprises:
acquiring a corresponding representation model based on real-time data of the monitored equipment;
the real-time data of the monitored equipment are brought into a corresponding class variable table representation model, a Structure representation model and a restration representation model, and a Method representation model is called for data comparison;
if the real-time data of the monitored equipment is in the set range of the Method representation model, the running data are matched with the stability quota set in the Structure representation model;
and otherwise, re-selecting the Structure representation model until the Structure representation model is matched with the stability limit set in the Structure representation model, and determining the stability limit of the detection line.
9. A system for representing a grid steady operation limit, the system comprising:
the construction module comprises: the method is used for constructing a representation model in an object-oriented mode based on the power grid stable operation rule;
and (3) carrying into a module: the method comprises the steps of carrying acquired power grid dispatching system data into a representation model for instantiation;
the representation module: the real-time data of the monitored equipment are represented by the instantiated representation model;
wherein the representation model comprises: various limits and various layers of models;
the construction module comprises: parent class units, hierarchical units, child class units and model units;
the parent class unit is used for constructing a parent class based on each quota classification based on the structure of the quota classification condition combined with the object-oriented knowledge representation in the power grid stable operation regulation;
the hierarchy unit is used for decomposing the quota content of each type based on the quota classification condition and determining the hierarchy structure in various types of quota;
the subclass unit is used for establishing all levels of subclasses under corresponding parent classes of various types of quota based on the hierarchical structure of each quota classification and the object-oriented knowledge representation;
the model unit is used for constructing an object-oriented basic representation model based on the bottom subclass corresponding to the quota classification hierarchy;
wherein the object-oriented base representation model comprises: class variable tables represent models, structures represent models, methods represent models, and methods represent models.
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