CN110829449A - AVC operation fault analysis method - Google Patents
AVC operation fault analysis method Download PDFInfo
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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Abstract
The invention discloses an AVC operation fault analysis method, which comprises the following steps: (1) finding a corresponding plant name through the voltage out-of-limit value of the transformer substation, and searching AVC voltage regulation warning information through the plant name; (2) according to the searched AVC voltage regulation warning information, fault location is carried out, and automatic regulation of the voltage capable of being automatically regulated is carried out; (3) the method comprises the steps of checking the abnormal AVC locking condition, firstly, carrying out dynamic path selection on an SCADA library in an AVC interface through a control by using a Python language to carry out picture skipping of a plant station, namely AVC voltage regulation warning information, and generating an operation condition graph of the plant station by one key by combining the AVC model condition, the operation mode, the equipment switching condition and the locking signal warning data of the existing managed plant station as carriers. The invention takes fault analysis as a baseline, effectively combines an AVC system with manual voltage regulation, displays the running condition of the transformer substation in real time, and realizes the reduction of monitoring pressure in an intelligent, visual and easily interactive mode.
Description
Technical Field
The invention belongs to the technical field of power grid ammeter data comparison, and relates to an AVC operation fault analysis method.
Background
Under the formation of the power grid regulation and control integration, along with the ascending of the scheduling right, a monitor often plays a role in both roles, monitors and confirms the operation mode and the equipment state of the whole network controlled station, finds a fault and reports the fault in time, and is responsible for communication with scheduling personnel at all levels, field operation and maintenance personnel, monitoring and regulation of the whole network voltage and the like. The AVC system fully covers all stations, the burden of a monitor on voltage regulation is reduced to a certain extent, but meanwhile, the AVC system also meets a bottleneck period, and since the AVC system is applied, with the continuous increase of stations accessed, the original monitoring pictures can not meet the existing working requirements for a long time, and the existing problems are increasingly highlighted.
The operation of the power grid requires safety, the quality is high, the power grid is economic and effective, and the provided voltage quality is an important expression for the quality of electric energy. The stable operation of the system cannot be ensured when the voltage is too high or too low, and certain influence can be caused to the electricity utilization life of residents. If the large-area voltage deviation phenomenon occurs in the power grid operation process and the normal operation level of the power grid has a large difference, the voltage is in an unstable state, and the large power is in shortage, so that the system can be operated in an unstable state and even has a fault problem. Therefore, the power grid working personnel strive to solve the problems in the voltage regulation process and ensure the quality safety of the voltage, and the reactive voltage automatic control system AVC can effectively improve the current situation, ensure the stability of the voltage quality of the power grid and optimize the reactive operation.
The Automatic Voltage Control (AVC) refers to centralized monitoring and analysis calculation of the whole network reactive voltage state, and coordinated optimization control of wide-area distributed power grid reactive devices from the global perspective, can realize automatic regulation of reactive voltage, has a certain optimization function, and is an important technical means for keeping the system voltage stable, improving the power grid voltage quality and the whole system economic operation level, and improving the reactive voltage management level.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: an AVC operation fault analysis method is provided to solve the problems in the prior art.
The technical scheme adopted by the invention is as follows: an AVC operation fault analysis method comprises the following steps:
(1) finding a corresponding plant name through the voltage out-of-limit value of the transformer substation, and searching AVC voltage regulation warning information through the plant name;
(2) according to the searched AVC voltage regulation warning information, fault location is carried out, and automatic regulation of the voltage capable of being automatically regulated is carried out;
(3) the method comprises the steps of checking the abnormal AVC locking condition, firstly, carrying out dynamic path selection on an SCADA library in an AVC interface through a control by using a Python language to carry out picture skipping of a plant station, namely AVC voltage regulation warning information, and generating an operation condition graph of the plant station by one key by combining the AVC model condition, the operation mode, the equipment switching condition and the locking signal warning data of the existing managed plant station as carriers.
The substation voltage threshold value is that the bus voltage analog quantity of each plant in the plant table in the SCADA database under the application of the SCADA is extracted to local data through set screening conditions (the voltage is greater than 10.7kV and less than 10.1 kV), then dynamic statement query is carried out through a Python script, AVC operation information in two periods (about 10 minutes) is searched and summarized, and whether an AVC system takes action or not is intelligently judged.
The invention has the beneficial effects that: compared with the prior art, the invention has the advantages that the monitoring personnel can intuitively know the operation condition of the AVC system through the one-to-one correspondence of the alarm information and the voltage regulation information, and can take relevant operations on the station voltage through analysis, thereby solving the confusion of the monitoring personnel on the existing AVC system, and greatly improving the working efficiency in the process of inspecting and rapidly positioning the faults through the fault positioning analysis operation diagram.
Drawings
FIG. 1 is a flow chart corresponding to the warning message of the present invention;
FIG. 2 is a fault location flow diagram of the present invention;
fig. 3 is a diagram of AVC nine region control logic.
Detailed Description
The invention is further described below with reference to the figures and specific embodiments.
The AVC server is a node of an EMS system, and adopts a platform providing mechanism for real-time library data interaction and network communication of SCADA/PAS/DTS application. The AVC system process adopts network configuration similar to AGC, the main server and the standby server are in hot standby, namely when the main server process fails, the standby process can be automatically started, the AVC system can be ensured to run continuously, the main server and the standby server are short in switching time, no control data are lost, and other nodes in the EMS system can browse AVC pictures and data.
The control mode construction method follows the reactive power optimization principle, and integrates the control principle of the nine-region diagram (such as the diagram 1) with the advantages of clearness, simplicity, reliable operation, good regional reactive power balance whole network coordination and capability of realizing global optimization. Wherein, the voltage and power factor constraint is guaranteed preferentially, and the system network loss is inferior. Control overshoot or oscillation is avoided by considering the control action order problem through mode priority and response period.
Possibility of secondary development of AVC data extraction and its monitor picture: by using Python language and through the picture plug-in of the PCS9000, data of an AVC database can be extracted, analyzed and output, and the factory station information is generated in a one-click manner by using picture primitives, controls and the like to form tables, line graphs and the like, so that the possibility is provided for quickly searching faults.
Secondary development practice: due to the formation of regulation and control integration, county scheduling rights are gradually drawn, the number of stations is increased, the situation that AVC operation and AVC abnormal locking conditions cannot be known in time as required in an original AVC monitoring picture, monitoring personnel often need to spend a large amount of time for AVC alarm retrieval and AVC station patrol, and therefore the situation that the monitoring personnel cannot know why the AVC system does not execute the voltage regulation action and rush control with the AVC system can occur.
In order to solve the requirement that monitoring personnel of a monitoring main station know the existing AVC operation condition, two parts are formulated to solve the AVC operation condition and AVC abnormal locking.
AVC intelligent operation information processing: firstly, extracting data to the local through certain screening conditions (the voltage is more than 10.7kV and less than 10.1 kV) by using the bus voltage analog quantity of each plant in the plant table in a SCADA database under the application of the SCADA, then carrying out dynamic statement query through a Python script, searching AVC operation information in two periods (about 10 minutes) for summary, and intelligently judging whether the AVC system takes action. If the strategy and action strategy of the AVC system have taken action, the monitoring personnel is recommended to be controlled by the AVC system. If the AVC system has no voltage regulation means, manual operation is suggested. Therefore, monitoring personnel can visually know the operation condition of the AVC system, and can take relevant operations on the station voltage through analysis, thereby solving the confusion of the monitoring personnel on the existing AVC system. (see fig. 3)
AVC abnormal fault rapid analysis module: because the AVC system is based on scadamdl database under SCADA application, and the two databases of the AVcmon database of the AVC application can not be directly related skipped, the SCADA database in the interface needs to be skipped from the factory site by dynamic path selection in a control by using Python language, and monitoring personnel can quickly and accurately check the abnormal AVC blocking condition by clicking. The method is characterized in that warning data such as AVC model conditions, operation modes, equipment switching conditions, blocking signals and the like of the existing managed plant station are combined as carriers, an operation condition diagram of the plant station is generated by one key, and the working efficiency is greatly improved in inspection and rapid fault positioning.
Example (b): as shown in fig. 1 to 3, an AVC operation failure analysis method includes the steps of:
(1) finding a corresponding plant name through the voltage out-of-limit value of the transformer substation, and searching AVC voltage regulation warning information through the plant name;
(2) according to the searched AVC voltage regulation warning information, fault location is carried out, and automatic regulation of the voltage capable of being automatically regulated is carried out;
(3) the method comprises the steps of checking the abnormal AVC locking condition, firstly, carrying out dynamic path selection on an SCADA library in an AVC interface through a control by using a Python language to carry out picture skipping of a plant station, namely AVC voltage regulation warning information, and generating an operation condition graph of the plant station by one key by combining the AVC model condition, the operation mode, the equipment switching condition and the locking signal warning data of the existing managed plant station as carriers.
The substation voltage threshold value is that the bus voltage analog quantity of each plant in the plant table in the SCADA database under the application of the SCADA is extracted to local data through set screening conditions (the voltage is greater than 10.7kV and less than 10.1 kV), then dynamic statement query is carried out through a Python script, AVC operation information in two periods (about 10 minutes) is searched and summarized, and whether an AVC system takes action or not is intelligently judged.
The method is based on the fact that fault analysis is used as a base line, an AVC system is effectively combined with manual voltage regulation, the operation condition of the transformer substation is displayed in real time, and monitoring pressure is reduced in an intelligent, visual and easy-to-interact mode; the method provides reference for analyzing and formulating the strategy for the personnel, and improves the efficiency for the automatic operation and maintenance personnel to quickly locate the fault point. And preliminarily forming a decision support module with scheduling, mode and automation in multiple directions.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present invention, and therefore, the scope of the present invention should be determined by the scope of the claims.
Claims (2)
1. An AVC operation fault analysis method is characterized in that: the method comprises the following steps:
(1) finding a corresponding plant name through the voltage out-of-limit value of the transformer substation, and searching AVC voltage regulation warning information through the plant name;
(2) according to the searched AVC voltage regulation warning information, fault location is carried out, and automatic regulation of the voltage capable of being automatically regulated is carried out;
(3) the method comprises the steps of checking the abnormal AVC locking condition, firstly, carrying out dynamic path selection on an SCADA library in an AVC interface through a control by using a Python language to carry out picture skipping of a plant station, namely AVC voltage regulation warning information, and generating an operation condition graph of the plant station by one key by combining the AVC model condition, the operation mode, the equipment switching condition and the locking signal warning data of the existing managed plant station as carriers.
2. The AVC operation failure analysis method according to claim 1, wherein: the substation voltage threshold value is that the bus voltage analog quantity of each plant in the plant table in the SCADA database under the application of the SCADA is extracted to local data through set screening conditions (the voltage is greater than 10.7kV and less than 10.1 kV), then dynamic statement query is carried out through a Python script, AVC operation information in two periods (about 10 minutes) is searched and summarized, and whether an AVC system takes action or not is intelligently judged.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111555294A (en) * | 2020-04-24 | 2020-08-18 | 国网河北省电力有限公司电力科学研究院 | Time-interval online evaluation method for operation state of AVC system |
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| CN107968483A (en) * | 2017-12-06 | 2018-04-27 | 贵州电网有限责任公司 | A kind of dispatching automation main station system visual intelligent monitors method |
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Patent Citations (2)
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| CN105515011A (en) * | 2015-12-04 | 2016-04-20 | 国网浙江省电力公司绍兴供电公司 | Coordination control method for combined operation of regional and county automatic voltage control (AVC) systems |
| CN107968483A (en) * | 2017-12-06 | 2018-04-27 | 贵州电网有限责任公司 | A kind of dispatching automation main station system visual intelligent monitors method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111555294A (en) * | 2020-04-24 | 2020-08-18 | 国网河北省电力有限公司电力科学研究院 | Time-interval online evaluation method for operation state of AVC system |
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Application publication date: 20200221 |