CN110705001A - Equipment-based monitoring information objectification modeling method for power system - Google Patents

Equipment-based monitoring information objectification modeling method for power system Download PDF

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Publication number
CN110705001A
CN110705001A CN201910708127.1A CN201910708127A CN110705001A CN 110705001 A CN110705001 A CN 110705001A CN 201910708127 A CN201910708127 A CN 201910708127A CN 110705001 A CN110705001 A CN 110705001A
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power system
monitoring information
equipment
model
modeling method
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Inventor
梁智
路轶
赵静
熊志杰
喻显茂
张大伟
温丽丽
邓志森
张旭波
李福志
杨嘉丞
吴谦
吴穹
郝旭亮
蓝海金
李鹏
王昊
隋国星
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Beijing Kedong Electric Power Control System Co Ltd
State Grid Sichuan Electric Power Co Ltd
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Beijing Kedong Electric Power Control System Co Ltd
State Grid Sichuan Electric Power Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The invention discloses an equipment-based monitoring information objectification modeling method for an electric power system, which comprises the following steps: carrying out fragmentation processing on the monitoring signals reflecting the condition of the power system by combining the actual condition of the power system equipment; respectively establishing models aiming at various fragment modules; arranging, combining and splicing the created perfect models to form an intermediate model, and screening the intermediate model according to a preset rule; and (4) performing attribute solidification on the monitoring information objectification model of the power system to realize the objectification modeling of the monitoring information of the power system. By the method and the device, an objective model foundation can be provided for data analysis, event alarm and decision result deduction of high-level applications such as big data, regulation cloud and the like.

Description

Equipment-based monitoring information objectification modeling method for power system
Technical Field
The invention relates to the field of automation and intellectualization of control of an electric power system, in particular to an equipment-based objective modeling method for monitoring information of the electric power system.
Background
Electricity is the most widely used energy at present, and the most direct source of residential electricity is a nearby transformer substation. Therefore, to ensure the safety of power utilization, the condition of the reactive substation equipment of the power system is often monitored in real time. However, because the number of the transformer substations is large, and the existing monitoring mode is to monitor each transformer substation, the monitoring workload is huge, and in addition, the state information of the equipment in the working process of different transformer substations may be different, and it may be necessary to manually judge whether the state information of the transformer substation is fault information, so that the information integration speed is low, the monitoring process lacks timeliness, and the monitoring result is prone to errors.
Disclosure of Invention
The invention aims to solve the problem of integrating discrete and fragmented monitoring information data which are common in an electric power system and reflect the conditions of a first device and a second device of a transformer substation into an objective data model through combination, filtration and screening.
The specific technical scheme of the invention is as follows:
an electric power system monitoring information objectification modeling method comprises the following steps:
carrying out fragmentation processing on the monitoring signals reflecting the condition of the power system by combining the actual condition of the power system equipment;
respectively establishing models aiming at various fragment modules;
arranging, combining and splicing the created perfect models to form an intermediate model, and screening the intermediate model according to a preset rule;
and (4) performing attribute solidification on the monitoring information objectification model of the power system to realize the objectification modeling of the monitoring information of the power system.
The method comprises the steps of carrying out fragmentation processing on monitoring signals reflecting the condition of the power system, wherein the monitoring signals are split into fragmentation modules based on plant stations, voltage, primary equipment, secondary equipment and special dictionary attributes.
After the step of fragmenting the monitoring signal reflecting the condition of the power system, the fragmentation modules are respectively stored in BASEVOLTAGE, SYS _ MENU _ INFO and SYS _ MENU _ RELEVENT entries of the database.
In the fragment module, the station types at least comprise an intelligent station, a conventional station, an intelligent station and a conventional station; the voltage class types at least comprise 500kV, 220kV, 110kV, 66kV and 35 kV; the primary equipment type at least comprises a bus, a circuit breaker, a main transformer body, a capacitor and a reactor; the secondary equipment type at least comprises a line protection device, a main transformer protection device, a non-electric quantity protection device, a line auxiliary protection device, a merging unit, an intelligent terminal, a circuit breaker protection device, a capacitive reactance measuring and controlling protection device, an intelligent merging unit, a bus protection device and a line high-impedance protection device; the special dictionary is divided into a common dictionary, an individual dictionary and an independent dictionary, and at least comprises a protection outlet, a main protection outlet, an auxiliary protection outlet, device faults, device abnormity, device time synchronization abnormity, device communication interruption, device overhaul state, GOOSE or SV chain breakage, TV disconnection or abnormity, voltage switching relay power loss, simultaneous connection of voltage switching relays, a heavy gas outlet, operation box control circuit disconnection, lighting heater or heat exchanger faults, temperature and humidity abnormity of an intelligent control cabinet or controller abnormity, SF6 low air pressure alarm and a first group of alternating current input faults of a direct current system.
The method comprises the following steps of screening the intermediate model according to a preset rule:
arranging, combining and splicing the perfect models to form an intermediate model;
and screening the intermediate model according to factory information such as the power system equipment specification and the like, relevant regulation specifications of the power system, typical monitoring signal alarm reasons, paraphrases, treatment principles and monitoring personnel experience.
When the intermediate model is screened, the intermediate model is divided into four levels, and finally the intermediate model is concentrated to form the electric power system monitoring information objectification model, wherein the four levels are a plant station level, a primary equipment level, a secondary equipment level and a special dictionary level.
The attribute curing of the power system monitoring information objectification model comprises power system monitoring signal model attribute curing and power system secondary equipment standing book model attribute curing.
The attribute of the monitoring SIGNAL model of the power system is solidified and stored in a SIGNAL _ DICTIONARY table of a database, and comprises an application category, an application range, a voltage level, an alarm level, a fault source type, a SIGNAL type, a station type, a primary equipment type, a secondary equipment type, a light word, alarm delay, an alarm reason, an alarm definition, an alarm handling principle and an alarm typical result; the attributes of the secondary equipment ledger model of the power system are solidified and stored in an SECFAV table of a database, and comprise a station, primary equipment, voltage levels, manufacturers, device models, version numbers, CPU numbers, commissioning time, whether modeling is carried out according to the 61850 standard, equipment running state change time, equipment accumulated outage time and signal types.
Furthermore, the present invention provides a computer device, comprising an input/output unit, a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the device-based power system monitoring information objectification modeling method according to the foregoing technical solution.
The invention provides a storage medium storing computer readable instructions, which are characterized in that the computer readable instructions, when executed by one or more processors, cause the one or more processors to execute the steps in the equipment-based power system monitoring information objectification modeling method according to the technical scheme.
Different from the prior art, the equipment-based electric power system monitoring information objectification modeling method effectively discretizes and fragments information reflecting the conditions of electric power equipment, respectively models the information, forms an aggregate model through permutation, combination and classification screening, solidifies according to professional regulation specifications, typical experience and diverse attributes, and concentrates the aggregate model into electric power system monitoring information objectification models of different levels. By the method and the device, an objective model foundation can be provided for data analysis, event alarm and decision result deduction of high-level applications such as big data, regulation cloud and the like.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a schematic diagram of a power system monitoring information object model;
FIG. 3 is a schematic diagram of an object-facing monitoring information model;
FIG. 4 is a schematic diagram of an equipment model;
fig. 5 is a schematic diagram of a monitoring information model modeling method.
Detailed Description
The following detailed description of specific embodiments of the invention are provided to enable those skilled in the art to practice them. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As used herein, the singular forms "a", "an", "the" and "the" may include the plural forms as well, unless expressly stated otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, procedures, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, procedures, steps, operations, elements, components, and/or groups thereof.
As shown in fig. 1 to 5, the objective modeling method for monitoring information of a power system based on equipment provided by the invention comprises the following steps:
step 1: and (4) fragmenting the monitoring signals reflecting the condition of the power system by combining the actual condition of the power system equipment. In each level of transformer substation in the power grid, the operation condition of equipment in the substation is monitored in real time, and the generated monitoring signal is extracted. And after extraction is finished, fragmenting the extracted monitoring signals. In the invention, as a result of the fragmentation processing, the monitoring signal is split into fragmentation modules based on plant station, voltage, primary equipment, secondary equipment and special dictionary attributes.
Step 2: and respectively establishing models aiming at various fragment modules. The fragmentation modules are respectively stored in tables of a database, such as BASEVOLTAGE, SYS _ MENU _ INFO, SYS _ MENU _ RELEVENT, and the like. Wherein, each module is modeled as follows: plant station type: class 3, including intelligent stations, conventional stations, intelligent stations and conventional stations; voltage class type: class 8, including 500kV, 220kV, 110kV, 66kV, 35kV, etc.; primary device type: 17 types including bus, line, breaker, main transformer body, capacitor, reactor, etc.; secondary device type: class 64, including line protection device, main transformer protection device, non-electric quantity protection device, line auxiliary protection device, merging unit, intelligent terminal, circuit breaker protection device, capacitive reactance measuring and controlling protection device, intelligent merging unit, bus protection device, line high-impedance protection device, etc.; the special dictionary comprises: the system is divided into 3 major directions of a general dictionary, an individual dictionary and an independent dictionary, 225 subclasses and comprises a protection outlet, a main protection outlet, an auxiliary protection outlet, device faults, device abnormity, device time setting abnormity, device communication interruption, device overhaul state, GOOSE or SV chain breakage, TV disconnection or abnormity, voltage switching relay power loss, simultaneous connection of voltage switching relays, heavy gas outlet, operation box control loop disconnection, lighting heater (or heat exchanger) faults, intelligent (control collection) cabinet temperature and humidity abnormity or controller abnormity, SF6 air pressure low alarm, first group of alternating current input faults of a direct current system and the like. And other fragment modules respectively establish the models according to requirements.
And step 3: and (3) arranging, combining and splicing the created perfect models to form 400 ten thousand combinations theoretically, forming intermediate models by certain processing to obtain more than 3000 intermediate models, and screening the intermediate models according to factory information such as power system equipment specifications and the like, relevant regulation specifications of the power system, typical monitoring signal alarm reasons, definitions, treatment principles and monitoring personnel experience. The monitoring information is divided into four levels (station level, primary equipment level, secondary equipment level and special dictionary level), and finally concentrated to form a power system monitoring information objectification model, wherein the total number of the monitoring information objectification model is more than 600.
And 4, step 4: and carrying out attribute solidification on the monitoring information objectification model of the power system. The attribute of the monitoring SIGNAL model of the power system is solidified and stored in a SIGNAL _ DICTIONARY table of a database, and comprises an application category, an application range, a voltage level, an alarm level, a fault source type, a SIGNAL type, a station type, a primary equipment type, a secondary equipment type, a light word, alarm delay, an alarm reason, an alarm definition, an alarm handling principle, an alarm typical result and the like; the attributes of the secondary equipment ledger model of the power system are solidified and stored in an SECFAV table of a database, and comprise a station, primary equipment, voltage levels, manufacturers, device models, version numbers, CPU numbers, commissioning time, whether modeling is carried out according to the 61850 standard, equipment running state change time, equipment accumulated outage time, signal types and the like. The following table shows the result of the attribute curing of the monitoring information objectification model of the power system according to the present invention. (shown only in part)
Figure RE-GDA0002298597760000051
Figure RE-GDA0002298597760000061
TABLE 1 Objective model and attribute solidification table for monitoring signal of electric power system
Figure RE-GDA0002298597760000062
Table 2 standing book model table of typical secondary equipment of power system
The invention designs an entity model of a power monitoring information discrete and fragmentation module, and each type of entity object corresponds to one type of things of the level. Splitting monitoring information reflecting the conditions of primary and secondary equipment of a power system transformer substation into discrete and fragmented modules, and respectively performing independent model creation on the fragmented modules such as a station type, a voltage type, a primary equipment type, a secondary equipment type and a special dictionary; designing a power monitoring information composite entity model, wherein each entity can be formed by arranging and combining different discrete and fragmentation modules, screening process models according to data such as relevant regulation specifications of a power system and typical experience of monitoring personnel, and finally concentrating to form a power system monitoring information objectification model (comprising a power system secondary equipment ledger model and a power system monitoring signal model); by the method and the device, diversified attribute solidification of the entity model is realized, so that the model points to a plurality of entity objects, and high-level application data statistical analysis and decision result deduction are facilitated.
Different from the prior art, the equipment-based electric power system monitoring information objectification modeling method effectively discretizes and fragments information reflecting the conditions of electric power equipment, respectively models the information, forms an aggregate model through permutation, combination and classification screening, solidifies according to professional regulation specifications, typical experience and diverse attributes, and concentrates the aggregate model into electric power system monitoring information objectification models of different levels. By the method and the device, an objective model foundation can be provided for data analysis, event alarm and decision result deduction of high-level applications such as big data, regulation cloud and the like.
The embodiments of the present application have been described above with reference to the drawings, but the present application is not limited to the above-mentioned embodiments, which are only illustrative and not restrictive, and those skilled in the art can make many changes and modifications without departing from the spirit and scope of the present application and the protection scope of the claims, and all changes and modifications that come within the meaning and range of equivalency of the claims are to be embraced within their scope.

Claims (10)

1. An electric power system monitoring information objectification modeling method based on equipment is characterized by comprising the following steps:
carrying out fragmentation processing on the monitoring signals reflecting the condition of the power system by combining the actual condition of the power system equipment;
respectively establishing models aiming at various fragment modules;
arranging, combining and splicing the created perfect models to form an intermediate model, and screening the intermediate model according to a preset rule;
and (4) performing attribute solidification on the monitoring information objectification model of the power system to realize the objectification modeling of the monitoring information of the power system.
2. The device-based electric power system monitoring information objectification modeling method according to claim 1, characterized in that in the step of fragmenting the monitoring signals reflecting the electric power system conditions, fragmentation modules based on plant stations, voltages, primary devices, secondary devices, and special dictionary attributes are split.
3. The device-based electric power system monitoring information objectification modeling method as claimed in claim 2, characterized in that after the step of fragmenting the monitoring signals reflecting the electric power system conditions, the fragmentation modules are respectively stored in the database entries of BASEVOLTAGE, SYS _ MENU _ INFO, SYS _ MENU _ RELEVENT.
4. The device-based electric power system monitoring information objectification modeling method according to claim 2, characterized in that in the fragmentation module, the station types at least include three types of intelligent station, conventional station, intelligent station and conventional station; the voltage class types at least comprise 500kV, 220kV, 110kV, 66kV and 35 kV; the primary equipment type at least comprises a bus, a circuit breaker, a main transformer body, a capacitor and a reactor; the secondary equipment type at least comprises a line protection device, a main transformer protection device, a non-electric quantity protection device, a line auxiliary protection device, a merging unit, an intelligent terminal, a circuit breaker protection device, a capacitive reactance measuring and controlling protection device, an intelligent merging unit, a bus protection device and a line high-impedance protection device; the special dictionary is divided into a common dictionary, an individual dictionary and an independent dictionary, and at least comprises a protection outlet, a main protection outlet, an auxiliary protection outlet, device faults, device abnormity, device time synchronization abnormity, device communication interruption, device overhaul state, GOOSE or SV chain breakage, TV disconnection or abnormity, voltage switching relay power loss, simultaneous connection of voltage switching relays, a heavy gas outlet, operation box control circuit disconnection, lighting heater or heat exchanger faults, temperature and humidity abnormity of an intelligent control cabinet or controller abnormity, SF6 low air pressure alarm and a first group of alternating current input faults of a direct current system.
5. The device-based monitoring information objectification modeling method for the power system according to claim 1, wherein the step of screening the intermediate model according to a preset rule comprises:
arranging, combining and splicing the perfect models to form an intermediate model;
and screening the intermediate model according to factory information such as the power system equipment specification and the like, relevant regulation specifications of the power system, typical monitoring signal alarm reasons, paraphrases, treatment principles and monitoring personnel experience.
6. The equipment-based electric power system monitoring information objectification modeling method according to claim 5, characterized in that when the intermediate model is screened, the intermediate model is divided into four levels, and finally concentrated to form the electric power system monitoring information objectification model, wherein the four levels are a plant station level, a primary equipment level, a secondary equipment level and a special dictionary level.
7. The equipment-based power system monitoring information objectification modeling method according to claim 6, characterized in that the property curing of the power system monitoring information objectification model comprises power system monitoring signal model property curing and power system secondary equipment ledger model property curing.
8. The device-based electric power system monitoring information objectification modeling method according to claim 7, characterized in that electric power system monitoring SIGNAL model attributes are solidified and stored in a SIGNAL _ numerary table of a database, and include an application category, an application range, a voltage level, an alarm level, a fault source type, a SIGNAL type, a plant station type, a primary device type, a secondary device type, a light word or not, an alarm delay, an alarm reason, an alarm definition, an alarm handling principle and an alarm typical result; the attributes of the secondary equipment ledger model of the power system are solidified and stored in an SECFAV table of a database, and comprise a station, primary equipment, voltage levels, manufacturers, device models, version numbers, CPU numbers, commissioning time, whether modeling is carried out according to the 61850 standard, equipment running state change time, equipment accumulated outage time and signal types.
9. A computer device comprising an input-output unit, a memory and a processor, the memory having stored therein computer readable instructions which, when executed by the processor, cause the processor to perform the steps in the device-based power system monitoring information objectification modeling method of any one of claims 1 to 8.
10. A storage medium storing computer readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the device-based power system monitoring information objectification modeling method of any one of claims 1 to 8.
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CN112765134A (en) * 2020-12-29 2021-05-07 广东电网有限责任公司电力科学研究院 Generation method and system of electric power internet of things level object model
CN112952799A (en) * 2021-01-29 2021-06-11 云南电网有限责任公司电力科学研究院 Ledger information dynamic modeling method for intelligent operation and maintenance of power distribution network
CN113515933A (en) * 2021-09-13 2021-10-19 中国电力科学研究院有限公司 Power primary and secondary equipment fusion processing method, system, equipment and storage medium

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