CN111199327B - Data modeling method and mathematical model of safety and stability control strategy - Google Patents
Data modeling method and mathematical model of safety and stability control strategy Download PDFInfo
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Abstract
The invention discloses a data modeling method and a mathematical model of a safety and stability control strategy, wherein the stability control strategy is abstracted into entities such as a stability control strategy, a system operation mode, an equipment operation state, a section flow condition, a system fault, a control quantity, a control measure combination, a control measure, a control object combination and a control object according to relevant factors of the stability control strategy, key attribute fields are defined, and an association relation between the entities is established. Special operation symbols are defined for the equipment operation state and the system fault, the operation symbols are expressed by logical expressions, the section load flow condition is expressed by interval symbols in mathematics, and the control quantity is expressed by calculation conditions and calculation formulas. The invention realizes the standardized modeling of the stability control strategy and effectively solves the problem that the high-level application of the dispatching end cannot simulate the action of the stability control system due to the lack of the stability control strategy model.
Description
Technical Field
The invention relates to a power grid safety and stability control system, in particular to a data modeling method and a mathematical model of a safety and stability control strategy.
Background
The safety and stability control system (stability control system for short) is an effective measure for ensuring the safe and stable operation of the power grid, and is an important defense line for preventing the stable damage of the power grid and large-area power failure accidents. When the power grid is in an emergency state due to large disturbance, the stability control system identifies the system operation mode, judges the system fault state, and executes emergency control measures such as generator tripping, load shedding or joint solution according to a pre-established control strategy table to enable the system to be recovered to a normal operation state. The control basis of the stability control system is a strategy table, and an off-line decision and real-time matching mode is mainly adopted. The stability control strategy is related to factors such as system operation mode, fault elements, section power, control measures and the like, the strategy difference of different power grids is large due to the complexity of the stability control strategy, and a unified strategy description standard is lacked at present.
The high-level applications of the dispatching end such as load flow calculation, online safety and stability analysis and dispatcher training simulation need to consider the action condition of the stability control system, so that a stability control strategy model needs to be established at the master station end to realize accurate simulation of the action of the stability control system.
Disclosure of Invention
The invention provides a data modeling method and a mathematical model of a safety and stability control strategy, which solve the problem that the high-level application of a dispatching end cannot simulate the action of a stability control system due to the lack of a stability control strategy model.
In order to achieve the purpose, the invention adopts the technical scheme that: a data modeling method of a safety and stability control strategy abstracts the stability control strategy into entities of a stability control strategy, a system operation mode, an equipment operation state, a section trend condition, a system fault, a control quantity, a control measure combination, a control measure, a control object combination and a control object, defines key attribute fields and establishes an incidence relation between the entities; the method comprises the following steps:
step 2, abstracting an entity of 'equipment running state' and 'section flow condition' according to the relation between the system running mode and the equipment running state and the section flow;
step 3, abstracting a 'control measure combination' entity according to the relevant control measures corresponding to the stability control strategy and the priority relations among different control measures; one "control measure combination" entity contains 1 or more associated control measures;
step 4, abstracting a control object combination entity according to the control objects implemented by the control measures and the priority relations among different control objects; one "control object combination" entity contains 1 or more associated control objects;
step 5, establishing an association relationship between the entities: the stable control strategy entity and the system operation mode, system fault and control quantity entity are in an incidence relation of 1 to 1; the system operation mode entity and the equipment operation state entity are in an incidence relation of 1 to 1, and the section flow condition entity is in an incidence relation of 1 to more; the inclusion relationship of 1 to many is between the entity of the control measure combination and the entity of the control measure; the "control object combination" entity and the "control object" entity have a 1-to-many inclusion relationship.
Further, in the step 2, establishing a "logic expression" attribute for the "device operation state" entity;
the equipment running state comprises the running or shutdown state of a group of equipment and is modeled by a logic expression;
defining run/out two operation symbols, wherein the parameter is 1 or more equipment objects, and the logic expression is defined as follows:
run (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the operating state;
out (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the shutdown state.
Further, in the step 2, establishing a "section power range" attribute for the "section power flow condition" entity, and establishing a "section ID" attribute to establish a correlation with an actual section;
the section flow condition refers to a section power range, is expressed by a mathematical interval symbol, and is defined as follows:
[ P1, P2] denotes P1. ltoreq. P.ltoreq.P 2
[ P1, P2) means P1. ltoreq.P < P2
(P1, P2) denotes P1 < P.ltoreq.P 2
(P1, P2) means P1 < P2
Wherein P represents the cross-sectional power.
Further, the step 1 also includes establishing a "logic expression" attribute for the "system failure" entity; the system fault is modeled by a logical expression defining a set of operators to represent the fault type as follows:
when combined failures of different devices or different failure types need to be defined, different failures are used than non-symbolic connections.
Further, the step 1 also includes establishing attributes of "calculation condition", "calculation formula" and "controlled variable type" for the "controlled variable" entity;
the "compute condition" attribute is represented as: [ Pmk _ set1, Pmk _ set2) means Pmk _ set1 ≦ X < Pmk _ set 2;
the expression of the "calculation formula" attribute is: k (X-Pset _ base) + Pset _ m
Wherein: x is input quantity and represents section power or direct current fault loss power before fault, Pmk _ set1 and Pmk _ set2 are threshold fixed values, Pset _ base and Pset _ m are strategy fixed values, K is a coefficient, and Y is a calculation result, namely required control quantity; for a control quantity without "calculation condition", the attribute may be null;
the "control amount type" is divided into power and the number of the chopping machines.
Further, the step 1 also includes establishing attributes of "priority", "measure on/off" and "measure type" for the "control measure" entity, and the measure types include a generator tripping, a load shedding, a direct current descending and a direct current ascending.
Further, the step 1 also includes establishing attributes of "priority", "controllable", and "associated device ID" for the "control object" entity.
The invention also provides a data model of the safety and stability control strategy, which comprises a stability control strategy entity, a system operation mode entity, an equipment operation state entity, a section trend condition entity, a system fault entity, a control quantity entity, a control measure combination entity, a control measure entity, a control object combination entity and a control object entity;
the stable control strategy entity, the system operation mode entity, the system fault entity, the control quantity entity, the control measure entity and the control object entity are abstracted according to the relation between the stable control strategy and the system operation mode, the system fault, the control quantity, the control measure and the control object respectively;
the 'equipment running state' entity and the 'section flow condition' entity are obtained by abstraction according to the relation between the system running mode and the equipment running state and the section flow respectively;
the control measure combination entity is abstracted according to the relevant control measures corresponding to the stability control strategy and the priority relations among different control measures; one "control measure combination" entity contains 1 or more associated control measures;
the entity of the control object combination is abstracted according to the control object implemented by the control measure and the priority relation between different control objects; one "control object combination" entity contains 1 or more associated control objects;
the stable control strategy entity is in an incidence relation of 1 to 1 with the system operation mode entity, the system fault entity and the control quantity entity; the system operation mode entity and the equipment operation state entity are in an incidence relation of 1 to 1, and the section flow condition entity is in an incidence relation of 1 to more; the inclusion relationship of 1 to many is between the entity of the 'control measure combination' and the entity of the 'control measure'; the "control object combination" entity and the "control object" entity have a 1-to-many inclusion relationship.
Furthermore, the entity of the equipment running state has the attribute of a logic expression;
the equipment running state comprises the running or shutdown state of a group of equipment and is modeled by a logic expression;
defining run/out two operation symbols, wherein the parameter is 1 or more equipment objects, and the logic expression is defined as follows:
run (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the operating state;
out (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the shutdown state.
Furthermore, the entity of the section tide condition has a section power range attribute and a section ID attribute; the section ID attribute is used for establishing association with an actual section;
the "cross-section power range" attribute is expressed by a mathematical interval symbol and is defined as follows:
[ P1, P2] denotes P1. ltoreq. P.ltoreq.P 2
[ P1, P2) denotes P1. ltoreq.P < P2
(P1, P2) denotes P1 < P.ltoreq.P 2
(P1, P2) means P1 < P2
Wherein P represents the cross-sectional power.
Further, the system failure entity has a logical expression attribute; the system fault is modeled by a logical expression defining a set of operators to represent the fault type as follows:
| type of failure | Operation sign |
| Phase-to-phase fault | faultab(dev) |
| Single phase permanent fault | faultan(dev) |
| Three-phase short-circuit fault | faultabcn(dev) |
| Fault trip | faultk(dev) |
| Bus fault | faultbus(dev) |
| Generator failure | faultgen(dev) |
| Dc blocking fault | faultdcblock(dev) |
| Failure of dc commutation | faultdccf(dev) |
When combined failures of different devices or different failure types need to be defined, different failures are used than non-symbolic connections.
Further, the entity of the control quantity has the attributes of calculation condition, calculation formula and control quantity type;
the "calculation conditions" attribute is represented as: [ Pmk _ set1, Pmk _ set2) means Pmk _ set1 ≦ X < Pmk _ set 2;
the expression for the "calculation formula" attribute is: k (X-Pset _ base) + Pset _ m
Wherein: x is input quantity which represents the section power before the fault or the direct current fault loss power, Pmk _ set1 and Pmk _ set2 are threshold fixed values, Pset _ base and Pset _ m are strategy fixed values, K is a coefficient, and Y is a calculation result, namely the required control quantity; for a control quantity without a "calculation condition", the attribute may be null;
the "control amount type" is divided into power and the number of the chopping machines.
Furthermore, the entity of the control measure has the attributes of priority, measure on/off and measure type, and the measure type comprises a generator tripping, load shedding, direct current reduction and direct current rise.
Further, the "control object" entity has "priority", "controllable or not" and "associated device ID" attributes.
The invention has the beneficial effects that: a complete model of the stability control strategy is established, the standardized modeling of the complex stability control strategy is realized, and model support is provided for advanced applications of a dispatching end, such as load flow calculation, online safety and stability analysis, dispatcher training simulation and the like.
Drawings
FIG. 1 is a graph of stability control strategy model E-R.
FIG. 2 is a graph of an example of stability control strategy modeling.
Detailed Description
The technical solution of the present invention is further described in detail with reference to the following examples:
example 1:
FIG. 1 is a diagram of a stability control strategy model E-R according to the present invention.
A data modeling method of a safety and stability control strategy abstracts the stability control strategy into entities of a stability control strategy, a system operation mode, an equipment operation state, a section trend condition, a system fault, a control quantity, a control measure combination, a control measure, a control object combination and a control object, defines key attribute fields and establishes an incidence relation between the entities; the method comprises the following steps:
step 2, abstracting an entity of 'equipment running state' and 'section flow condition' according to the relation between a system running mode and the equipment running state and the section flow;
step 3, abstracting a 'control measure combination' entity according to the relevant control measures corresponding to the stability control strategy and the priority relations among different control measures; a "control measure combination" entity comprises 1 or more associated control measures;
step 4, abstracting a control object combination entity according to the control objects implemented by the control measures and the priority relations among different control objects; one "control object combination" entity contains 1 or more associated control objects;
step 5, establishing an association relationship between the entities: the stable control strategy entity and the system operation mode, system fault and control quantity entity are in an incidence relation of 1 to 1; the system operation mode entity and the equipment operation state entity are in 1-to-1 incidence relation, and the section trend condition entity is in 1-to-more incidence relation; the inclusion relationship of 1 to many is between the entity of the 'control measure combination' and the entity of the 'control measure'; the inclusion relationship between the control object combination entity and the control object entity is 1 to many.
Wherein, in the step 2, a logic expression attribute is established for the equipment operation state entity;
the equipment running state comprises the running or shutdown state of a group of equipment and is modeled by a logic expression;
defining run/out two operation symbols, wherein the parameter is 1 or more equipment objects, and the logic expression is defined as follows:
run (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in an operating state;
out (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the shutdown state.
Wherein, in the step 2, the method also comprises the steps of establishing a section power range attribute for the section flow condition entity, and establishing a section ID attribute to establish association with an actual section;
the section flow condition refers to a section power range, is represented by an interval symbol in mathematics, and is defined as follows:
[ P1, P2] denotes P1. ltoreq. P.ltoreq.P 2
[ P1, P2) denotes P1. ltoreq.P < P2
(P1, P2) denotes P1 < P.ltoreq.P 2
(P1, P2) denotes P1 < P2
Wherein P represents the cross-sectional power.
Wherein, the step 1 also comprises establishing a logic expression attribute for the system fault entity; the system fault is modeled by a logical expression defining a set of operators to represent the fault type as follows:
when combined failures of different devices or different failure types need to be defined, different failures are used with or without symbolic connections. For example, fault (dev1) & & fault (dev2) indicates that the phase-to-phase fault occurs in the device 1 and a single-phase permanent fault occurs in the device 2.
Wherein, the step 1 also comprises establishing attributes of calculation conditions, calculation formulas and control quantity types for the control quantity entities;
the "compute condition" attribute is represented as: [ Pmk _ set1, Pmk _ set2) means Pmk _ set1 ≦ X < Pmk _ set 2;
the expression for the "calculation formula" attribute is: k (X-Pset _ base) + Pset _ m
Wherein: x is input quantity which represents the section power before the fault or the direct current fault loss power, Pmk _ set1 and Pmk _ set2 are threshold fixed values, Pset _ base and Pset _ m are strategy fixed values, K is a coefficient, and Y is a calculation result, namely the required control quantity; in some cases, for example, the control quantity is a power constant or the number of the slicer, which can also be expressed by the above formula, X represents the power constant or the number of the slicer, K is 1, Pset _ base and Pset _ m are 0, and Y is equal to X. For a control quantity without a "calculation condition", the attribute may be null;
the "control amount type" is divided into power and the number of the chopping machines.
Wherein, the step 1 also comprises establishing attributes of priority, measure on/off and measure type for the control measure entity, and the measure type comprises cutter, load cutting, direct current reduction and direct current rise.
Wherein, the step 1 further comprises establishing attributes of "priority", "controllable", and "associated device ID" for the "control object" entity.
Example 2:
and selecting a stability control strategy of direct current double-stage locking of a certain converter station as a research object, and modeling the stability control strategy. The strategy is as follows.
The strategy control measure is that the region 1 is modulated preferentially to send out direct current, the direct current sent out by the region 1 comprises a direct current system 1, a direct current system 2 and a direct current system 3, and the priority is reduced sequentially, namely, the direct current system 1, the direct current system 2 and the direct current system 3 are modulated sequentially. When the direct current modulation amount is insufficient, the load of the area 2 is switched again, the load of the area 2 comprises a line A, a line B and a line C, and the priority is reduced in sequence, namely control is executed according to the sequence of the line A, the line B and the line C.
According to the data modeling method of the safety and stability control strategy, step 1, establishing examples of a stability control strategy, a system operation mode, a system fault, a control quantity, a control measure and a control object according to the relation between the stability control strategy and the system operation mode, the relation between the system fault and the control quantity, the relation between the control measure and the control object;
examples of "stability control strategies" are: DC double-stage locking of a certain converter station;
examples of "system operation" are: the method comprises the steps that A and B lines run normally in a first mode;
the logical expression for the "system failure" example is: faultdcblock (dc stage 1) & & faultdcblock (dc stage 2).
The calculation formula of the "control amount" example is: X-Pset _ base, wherein X is direct current fault loss power, Pset _ base is a strategy fixed value, and the calculation conditions are as follows: [ Pmk _ set1, Pmk _ set 2).
The 2 examples of the establishment of the 'control measures' are that the modulation region 1 sends out direct current, and the other is the load of the switching region 2.
3 direct current control object instances are established, namely a direct current system 1, a direct current system 2 and a direct current system 3.
3 examples of load shedding control objects are established, namely a line A, a line B and a line C.
Step 2, establishing an example of an equipment operation state and a section flow condition according to the relation between a system operation mode and the equipment operation state and the section flow;
the logical expression of the "device operating state" instance is: run (line a, line b) is 2.
The power range of the "profile flow condition" example is: [ -120, -70), section ID points to the section consisting of lines a and b.
Step 3, establishing a control measure combination example according to the relevant control measures corresponding to the stability control strategy and the priority relations among different control measures:
example "combination of control measures": control measure 1 and control measure 2 are included. Control measure 1: the modulation area 1 sends out direct current, priority 1 and investment; control measure 2: region 2, load priority 2, investment.
Step 4, establishing a control object combination example according to the control objects implemented by the control measures and the priority relations among different control objects:
establish "control object combination" example 2: the method comprises direct current of a control object combination 1 and load of a control object combination 2.
control object combination 2 load: the method comprises the following steps that control objects are respectively a line A, a line B and a line C, and the priority is defined; the control object line A is controllable with the priority level 1; the control object line B, the priority 2, is controllable; the line to be controlled C, priority 3, is controllable.
And 5, establishing an association relation between the instances.
The graph of the stability control strategy modeling example is shown in FIG. 2.
The scheme can also be implemented by adjusting the sequence of the steps.
Example 3:
the invention also provides a data model of the safety and stability control strategy, which comprises a stability control strategy entity, a system operation mode entity, an equipment operation state entity, a section trend condition entity, a system fault entity, a control quantity entity, a control measure combination entity, a control measure entity, a control object combination entity and a control object entity;
the stable control strategy entity, the system operation mode entity, the system fault entity, the control quantity entity, the control measure entity and the control object entity are abstracted according to the relation between the stable control strategy and the system operation mode, the system fault, the control quantity, the control measure and the control object respectively;
the 'equipment running state' entity and the 'section trend condition' entity are abstracted and obtained according to the relation between the system running mode and the equipment running state and the section trend respectively;
the control measure combination entity is abstracted according to the relevant control measures corresponding to the stability control strategy and the priority relations among different control measures; one "control measure combination" entity contains 1 or more associated control measures;
the entity of the control object combination is abstracted according to the control objects implemented by the control measures and the priority relations among different control objects; one "control object combination" entity comprises 1 or more associated control objects;
the stable control strategy entity is in an incidence relation of 1 to 1 with a system operation mode entity, a system fault entity and a control quantity entity; the system operation mode entity and the equipment operation state entity are in 1-to-1 incidence relation, and the section trend condition entity is in 1-to-more incidence relation; the inclusion relationship of 1 to many is between the entity of the control measure combination and the entity of the control measure; the inclusion relationship between the control object combination entity and the control object entity is 1 to many.
Wherein, the entity of the 'equipment running state' has the attribute of 'logical expression';
the equipment running state comprises the running or shutdown state of a group of equipment and is modeled by a logic expression;
defining run/out two operation symbols, wherein the parameter is 1 or more equipment objects, and the logic expression is defined as follows:
run (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in an operating state;
out (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the shutdown state.
The section power flow condition entity has a section power range attribute and a section ID attribute; the 'section ID' attribute is used for establishing association with an actual section;
the "cross-section power range" attribute is expressed by an interval symbol in mathematics, and is defined as follows:
[ P1, P2] denotes P1. ltoreq. P.ltoreq.P 2
[ P1, P2) means P1. ltoreq.P < P2
(P1, P2) denotes P1 < P.ltoreq.P 2
(P1, P2) means P1 < P2
Wherein P represents the cross-sectional power.
Wherein, the system fault entity has a logic expression attribute; the system fault is modeled by a logical expression defining a set of operators to represent the fault type as follows:
| type of failure | Operation sign |
| Phase-to-phase fault | faultab(dev) |
| Single phase permanent fault | faultan(dev) |
| Three-phase short-circuit fault | faultabcn(dev) |
| Fault trip | faultk(dev) |
| Bus fault | faultbus(dev) |
| Failure of generator | faultgen(dev) |
| Dc blocking fault | faultdcblock(dev) |
| Failure of dc commutation | faultdccf(dev) |
When combined failures of different devices or different failure types need to be defined, different failures are used than non-symbolic connections.
Wherein, the entity of the control quantity has the attributes of calculation condition, calculation formula and control quantity type;
the "compute condition" attribute is represented as: [ Pmk _ set1, Pmk _ set2) denotes Pmk _ set1 ≦ X < Pmk _ set 2;
the expression for the "calculation formula" attribute is: k (X-Pset _ base) + Pset _ m
Wherein: x is input quantity and represents section power or direct current fault loss power before fault, Pmk _ set1 and Pmk _ set2 are threshold fixed values, Pset _ base and Pset _ m are strategy fixed values, K is a coefficient, and Y is a calculation result, namely required control quantity; for a control quantity without a "calculation condition", the attribute may be null;
the "control amount type" is divided into power and the number of the chopping machines.
The control measure entity has the attributes of priority, measure on/off and measure type, and the measure types comprise a generator tripping, a load shedding, a direct current reducing and a direct current increasing.
The entity of the control object has the attributes of priority, controllable or not and associated equipment ID.
Example 4:
and selecting a stability control strategy of direct current double-stage locking of a certain converter station as a research object, and modeling the stability control strategy. The policy is as follows.
The strategy control measure is that the region 1 is modulated to send out direct current preferentially, the region 1 sends out direct current comprising a direct current system 1, a direct current system 2 and a direct current system 3, and the priority is reduced sequentially, namely the direct current system 1, the direct current system 2 and the direct current system 3 are modulated sequentially. When the direct current modulation amount is insufficient, the load of the area 2 is switched again, the load of the area 2 comprises a line A, a line B and a line C, and the priority is reduced in sequence, namely, the control is executed according to the sequence of the line A, the line B and the line C.
The data model of the safety and stability control strategy is as follows:
examples of "stability control strategies" are: DC double-stage locking of a certain converter station;
examples of "system operation" are: the method comprises the steps that A and B lines run normally in a first mode;
the logical expression of the "system failure" instance is: faultdcblock (dc stage 1) & & faultdcblock (dc stage 2).
The calculation formula of the "control amount" example is: X-Pset _ base, wherein X is direct current fault loss power, Pset _ base is a strategy fixed value, and the calculation conditions are as follows: [ Pmk _ set1, Pmk _ set 2).
The example 2 of the control measures is that the modulation area 1 sends out direct current, and the other is the load of the switching area 2.
The direct current "control objects" are 3 instances, which are a direct current system 1, a direct current system 2 and a direct current system 3 respectively.
Load shedding "control object" examples are 3, which are respectively a line A, a line B and a line C.
The logical expression of the "device operating state" instance is: run (line a, line b) is 2.
The power range of the "profile flow condition" example is: [ -120, -70), section ID points to the section consisting of lines a and b.
Example "combination of control measures": including control measure 1 and control measure 2, and defining a priority, control measure 1: the modulation area 1 sends out direct current, priority 1 and investment; control measure 2: region 2, load priority 2, investment.
control object combination 2 load: the method comprises the steps that control objects are a line A, a line B and a line C respectively, and priority is defined; the control object line A has the priority level of 1 and is controllable; the control object line B, the priority 2, controllable; the line to be controlled C, priority 3, is controllable.
The above embodiments are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modifications made on the basis of the technical scheme according to the technical idea of the present invention fall within the protection scope of the present invention.
Claims (10)
1. A data modeling method of a safety and stability control strategy is characterized in that the stability control strategy is abstracted into entities of a stability control strategy, a system operation mode, an equipment operation state, a section trend condition, a system fault, a control quantity, a control measure combination, a control measure, a control object combination and a control object, key attribute fields are defined, and an incidence relation between the entities is established; the method comprises the following steps:
step 1, abstracting entities of 'stability control strategy', 'system operation mode', 'system fault', 'control quantity', 'control measure' and 'control object' according to the relation between the stability control strategy and the system operation mode, the system fault, the control quantity, the control measure and the control object; establishing attributes of priority, measure switching-in and measure type for a control measure entity, wherein the measure type comprises a generator tripping, load shedding, direct current reduction and direct current rise; establishing attributes of priority, controllable or not and associated equipment ID for a control object entity;
step 2, abstracting an entity of 'equipment running state' and 'section flow condition' according to the relation between a system running mode and the equipment running state and the section flow;
step 3, abstracting a 'control measure combination' entity according to the relevant control measures corresponding to the stability control strategy and the priority relations among different control measures; a "control measure combination" entity comprises 1 or more associated control measures;
step 4, abstracting a control object combination entity according to the control objects implemented by the control measures and the priority relations among different control objects; one "control object combination" entity contains 1 or more associated control objects;
step 5, establishing an association relation between entities: the stable control strategy entity and the system operation mode, system fault and control quantity entity are in an incidence relation of 1 to 1; the system operation mode entity and the equipment operation state entity are in 1-to-1 incidence relation, and the section trend condition entity is in 1-to-more incidence relation; the inclusion relationship of 1 to many is between the entity of the 'control measure combination' and the entity of the 'control measure'; the inclusion relationship between the control object combination entity and the control object entity is 1 to many.
2. The data modeling method of a safety and stability control strategy according to claim 1, wherein in the step 2, further comprising establishing a "logical expression" attribute for the "device operation state" entity;
the equipment running state comprises the running or shutdown state of a group of equipment and is modeled by a logic expression;
defining run/out two operation symbols, wherein the parameter is 1 or more equipment objects, and the logic expression is defined as follows:
run (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the operating state;
out (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the shutdown state.
3. The data modeling method for the safety and stability control strategy according to claim 1, wherein in the step 2, further comprising establishing a section power range attribute for the entity of the section flow condition, and establishing a section ID attribute to establish a relationship with an actual section;
the section flow condition refers to a section power range, is represented by an interval symbol in mathematics, and is defined as follows:
[P1，P2]represents P1≤P≤P2
[P1，P2) Represents P1≤P＜P2
(P1，P2]Is represented by P1＜P≤P2
(P1，P2) Is represented by P1＜P＜P2
Wherein P represents the cross-sectional power.
4. The data modeling method of a safety and stability control strategy according to claim 1, wherein the step 1 further comprises establishing a "logical expression" attribute for the "system failure" entity; the system fault is modeled by a logical expression defining a set of operators to represent the fault type as follows:
when combined failures of different devices or different failure types need to be defined, different failures are used than non-symbolic connections.
5. The data modeling method for the safety and stability control strategy according to claim 1, wherein the step 1 further includes establishing attributes of "calculation condition", "calculation formula", "control quantity type" for the "control quantity" entity;
the "compute condition" attribute is represented as: [ Pmk _ set1, Pmk _ set2) means Pmk _ set1 ≦ X < Pmk _ set 2;
the expression for the "calculation formula" attribute is: k (X-Pset _ base) + Pset _ m
Wherein: x is input quantity which represents the section power before the fault or the direct current fault loss power, Pmk _ set1 and Pmk _ set2 are threshold fixed values, Pset _ base and Pset _ m are strategy fixed values, K is a coefficient, and Y is a calculation result, namely the required control quantity; for a control quantity without "calculation condition", the attribute may be null;
the "control amount type" is divided into power and the number of the chopping machines.
6. A data model of a safety and stability control strategy is characterized in that the data model comprises a stability control strategy entity, a system operation mode entity, an equipment operation state entity, a section load flow condition entity, a system fault entity, a control quantity entity, a control measure combination entity, a control measure entity, a control object combination entity and a control object entity; the entity of the control measure has the attributes of priority, measure on/off and measure type, and the measure type comprises a generator tripping, load shedding, direct current reduction and direct current rise; the entity of the control object has the attributes of priority, controllable or not and associated equipment ID;
the stable control strategy entity, the system operation mode entity, the system fault entity, the control quantity entity, the control measure entity and the control object entity are abstracted according to the relation between the stable control strategy and the system operation mode, the system fault, the control quantity, the control measure and the control object respectively;
the 'equipment running state' entity and the 'section flow condition' entity are obtained by abstraction according to the relation between the system running mode and the equipment running state and the section flow respectively;
the control measure combination entity is abstracted according to the relevant control measures corresponding to the stability control strategy and the priority relations among different control measures; a "control measure combination" entity comprises 1 or more associated control measures;
the entity of the control object combination is abstracted according to the control object implemented by the control measure and the priority relation between different control objects; one "control object combination" entity comprises 1 or more associated control objects;
the stable control strategy entity is in an incidence relation of 1 to 1 with the system operation mode entity, the system fault entity and the control quantity entity; the system operation mode entity and the equipment operation state entity are in 1-to-1 incidence relation, and the section trend condition entity is in 1-to-more incidence relation; the inclusion relationship of 1 to many is between the entity of the control measure combination and the entity of the control measure; the "control object combination" entity and the "control object" entity have a 1-to-many inclusion relationship.
7. The data model of a safety and stability control strategy according to claim 6, wherein the "device operation status" entity has a "logical expression" attribute;
the equipment running state comprises the running or shutdown state of a group of equipment and is modeled by a logic expression;
defining run/out two operation symbols, wherein the parameter is 1 or more equipment objects, and the logic expression is defined as follows:
run (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the operating state;
out (dev1, dev2, …, devn) ═ m indicates that m devices in the n device sets are in the shutdown state.
8. The data model of a safety and stability control strategy according to claim 6, wherein said "cross-section flow condition" entity has a "cross-section power range" attribute and a "cross-section ID" attribute; the section ID attribute is used for establishing association with an actual section;
the "cross-section power range" attribute is expressed by a mathematical interval symbol and is defined as follows:
[P1，P2]represents P1≤P≤P2
[P1，P2) Represents P1≤P＜P2
(P1，P2]Is represented by P1＜P≤P2
(P1，P2) Represents P1＜P＜P2
Wherein P represents the cross-sectional power.
9. The data model of a safety and stability control strategy according to claim 6, wherein said "system failure" entity has "logical expression" attribute; the system fault is modeled by a logical expression defining a set of operators to represent the fault type as follows:
When combined failures of different devices or different failure types need to be defined, different failures are used with or without symbolic connections.
10. The data model of a safety and stability control strategy according to claim 6, wherein the "controlled variable" entity has the attributes of "calculation condition", "calculation formula", "controlled variable type";
the "calculation conditions" attribute is represented as: [ Pmk _ set1, Pmk _ set2) denotes Pmk _ set1 ≦ X < Pmk _ set 2;
the expression for the "calculation formula" attribute is: k (X-Pset _ base) + Pset _ m
Wherein: x is input quantity which represents the section power before the fault or the direct current fault loss power, Pmk _ set1 and Pmk _ set2 are threshold fixed values, Pset _ base and Pset _ m are strategy fixed values, K is a coefficient, and Y is a calculation result, namely the required control quantity; for a control quantity without a "calculation condition", the attribute may be null;
the "control amount type" is divided into power and the number of the chopping machines.
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