CN107453485B - Scheduling operation information inspection method and system - Google Patents
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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
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/16—Electric power substations
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
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- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
Abstract
The invention discloses a scheduling operation information inspection method and a system, belonging to the technical field of electric power scheduling automation, and comprising the steps of obtaining real-time operation data of a power grid from an OPEN3000 scheduling automation monitoring system; according to the acquired real-time operation data of the power grid, a transformer substation model of the connection mode and the connection sequence of all power plants and equipment in the transformer substation in the power grid is established; preprocessing the acquired real-time operation data of the power grid to obtain effective measurement data; performing an alarm evaluation strategy according to the effective measurement data and the switch opening and closing data in the transformer substation; and after the alarm information is evaluated by using the alarm evaluation strategy, classifying the alarm information according to different alarm categories to be displayed on an alarm page. The measurement data collected by the invention is preprocessed, so that a large amount of frequently-sent invalid alarm information is shielded, the quantity of the alarm information needing to be checked by monitoring personnel is greatly reduced, and the monitoring personnel can accurately and quickly carry out appropriate judgment and processing.
Description
Technical Field
The invention relates to the technical field of power dispatching automation, in particular to a dispatching operation information inspection method and a dispatching operation information inspection system.
Background
With the continuous promotion of a large operation system of an electric power system and the acceleration of the construction speed of an intelligent substation, the access amount of monitoring information is increased sharply, and monitoring personnel need to extract important fault information from a large number of signals.
At present, an OPEN3000 dispatching automation monitoring system is generally used in an electric power system to display alarm information so that monitoring personnel can extract important information. However, the OPEN3000 dispatching automation monitoring system displays the alarm information according to the time sequence in a screen refreshing manner, and even if the classification of the non-alarm information is performed through a message layering mechanism, different alarm pages can still be refreshed by a large amount of alarm information. The defects of the screen refreshing type display alarm information are as follows:
firstly, a large number of invalid signals exist in a large amount of alarm information, and the extraction of important information by monitoring personnel is seriously interfered. In addition, the alarm page of the OPEN3000 dispatching automation monitoring system has the problem of rough message classification, the cross-line information of various measurement values is generally classified as "out-of-limit information" and displayed, and under huge amount of information, it is difficult to ensure that key measurement accident information can be paid attention to at the first time. Therefore, the difficulty of the monitoring personnel for confirming various alarm information through the OPEN3000 dispatching automatic monitoring system is high.
Secondly, the OPEN3000 dispatching automation monitoring system lacks the warning means for the situation that the data uploaded by the power plant and the transformer substation do not change for a long time, and only can rely on the monitoring personnel to perform manual check, which wastes manpower.
Thirdly, the OPEN3000 dispatching automation monitoring system lacks the alarm for important information such as multi-line load overload, over load of a press, voltage fluctuation of a bus, single-phase grounding of the bus and the like. The monitoring personnel can only confirm by manually inquiring historical data and on-site telephone reports, and the real-time performance of corresponding scheduling processing of the monitoring personnel and the scheduling personnel is seriously influenced.
Fourthly, the alarm character information of the OPEN3000 dispatching automatic monitoring system uses a rolling type prompting mode, which is equivalent to historical information browsing, and can only reflect that accidents or abnormal information occurs once and cannot reflect whether the current reason causing the alarm still exists. Moreover, when the monitoring personnel changes shift, the shift-switching personnel cannot check all the alarm signals which are still in the alarm state currently.
Fifthly, the OPEN3000 dispatching automation monitoring system cannot configure the alarm of the same type of equipment for the measured values except for the conventional equipment, only can configure the alarm limit or the alarm information for each unconventional measured value, and cannot configure the alarm strategy uniformly for the unconventional equipment of the same type.
Sixth, a reasonable data validity judgment strategy is lacked in the OPEN3000 dispatching automation monitoring system, and only states of description values such as "unchanged", "jumping", "invalid", "suspicious", "blocking", "normal", "put", "get state estimation", "calculated value" and "suspicious" are judged for the validity of the description values, so that the whole value validity judgment and derivation cannot be performed according to the actual state of the plant station.
Disclosure of Invention
The invention aims to provide a scheduling operation information inspection method and a scheduling operation information inspection system, which can reduce the interference of invalid information on monitoring personnel.
In order to achieve the above object, in a first aspect, the present invention provides a scheduling operation information inspection method, including:
s1, acquiring real-time operation data of the power grid from the OPEN3000 dispatching automation monitoring system;
s2, establishing a transformer substation model of the connection mode and the connection sequence of all power plants and equipment in the transformer substation in the power grid according to the acquired real-time operation data of the power grid;
s3, preprocessing the acquired real-time operation data of the power grid to obtain effective measurement data;
s4, performing an alarm evaluation strategy according to the effective measurement data and the switch opening and closing data in the transformer substation;
and S5, after the alarm information is evaluated by the alarm evaluation strategy, classifying the alarm information according to different alarm categories to be displayed on an alarm page.
Wherein, the step S2 specifically includes:
taking the bus with the highest voltage level in the station as the origin O0The rest grade buses are respectively regarded as points O1,O2,…,OmWill be at the origin O0Respectively and point O1,O2,…,OmConnecting to form m line segments;
will factory station inner knife switch D1,D2,…,DdBreaker B1,B2,…,BbAnd a transformer C1,C2,…,CcTreated as points on the m line segments;
connecting the end point A of the alternating current line segment1,A2,…,AaAnd terminal equipment E1,E2,…,EeRegarding as the end points of the m line segments;
from the origin O0Starting, sequentially linking the disconnecting link, the transformer, the circuit breaker, the alternating current line segment end points and the terminal equipment to obtain a transformer substation model of the connection mode and the connection sequence of all power plants and equipment in the transformer substation in the power grid.
Wherein, the step S3 specifically includes:
judging whether the connection between the plant and the OPEN3000 master station network is normal or not, if the connection is normal, determining that the data in the plant are valid, and if the connection is interrupted, determining that the data in the plant are invalid data;
judging the running state of the equipment of the adjacent node of the equipment in the transformer substation model, if the equipment runs normally, determining that the related measurement value of the equipment is valid, and if the equipment does not run, determining that the related measurement value of the equipment is invalid;
and calculating the variation coefficient of the measured data, and determining that the measured data is valid when the variation coefficient is within the variation range, and determining that the measured data is invalid when the variation coefficient is not within the variation range.
Wherein, the calculation process of the coefficient of variation comprises:
calculating the average value of the measurement data taken out for n times;
calculating the standard deviation of the measurement data taken out for n times;
and calculating the ratio of the standard deviation to the average value of the measurement data taken out for n times to obtain the variation coefficient of the measurement data.
Wherein, the alarm evaluation policy in step S4 specifically includes:
the alarm evaluation strategy of the effective measurement data is as follows:
wherein x isLIs the lower limit of alarm, xHFor alarm upper limit, TLIs an out-of-limit duration threshold, T is an out-of-limit duration, RLFor the last alarm time, TnowR is the current time and is the re-alarm time threshold;
the alarm evaluation strategy of the switch opening and closing data in the transformer substation is as follows:
wherein A isuAs threshold value of number of switching actions, AsumFor the number of switching operations in a defined period of time, TuFor a switch on duration threshold, TcFor duration of switch-on, TsxzTo count the lower bound of the time period, TuxzAs an upper bound on the statistical time period, RLFor the last alarm time, TnowR is the re-alarm threshold for the current time.
In a second aspect, the present invention provides a scheduling operation information inspection system, including: the system comprises a host server and at least one workstation, wherein the host server and the at least one workstation are connected to the same network segment of the Ethernet by using a router, and the host server is connected with an OPEN3000 dispatching automation monitoring system through a network.
The host server is provided with Mysql database software and is used as a history server and a data acquisition server at the same time.
Compared with the prior art, the invention has the following technical effects: in the operation of a power grid, a large amount of frequently-sent alarm information is generated due to the faults of a measurement and control device, communication faults, equipment damage, field maintenance and the like, and screen-refreshing display is carried out on an alarm page. The invention uses the time delay filtration of the information, after the measured data is collected, if the instantaneous information caused by the shaking of the contact point, the accidental jump of the measurement and the like is reset in the specified time, the instantaneous information is set to be not displayed in the system, thereby shielding a large amount of frequently-occurring invalid alarm information, greatly reducing the quantity of the alarm information which needs to be checked by monitoring personnel, and leading the monitoring personnel to accurately and quickly carry out proper judgment and processing. Meanwhile, a flexible alarm strategy is set according to the equipment type and the alarm type, thresholds of different equipment, different measurement limit values and different types of alarm information are flexible and configurable, batch alarm strategy configuration can be carried out according to actual changes of the field and the environment, and equipment of the same type or alarms of the same type can be started or closed.
Drawings
The following detailed description of embodiments of the invention refers to the accompanying drawings in which:
FIG. 1 is a schematic flow chart of a method for routing inspection of operational information according to the present invention;
FIG. 2 is a schematic diagram of a plant substation model established in the present invention;
fig. 3 is a schematic structural diagram of a scheduling operation information inspection system according to the present invention.
Detailed Description
To further illustrate the features of the present invention, refer to the following detailed description of the invention and the accompanying drawings. The drawings are for reference and illustration purposes only and are not intended to limit the scope of the present disclosure.
As shown in fig. 1, the present embodiment discloses a scheduling operation information inspection method, which includes the following steps S1 to S5:
s1, acquiring real-time operation data of the power grid from the OPEN3000 dispatching automation monitoring system;
it should be noted that, in this embodiment, the real-time operation data of the power grid, including data such as a voltage type, a voltage level, administrative area division, information of all plant stations, operation states and measurement values of all devices, and a network connection state of the plant station, may be acquired from server databases such as SCADA, FES, and PAS in the OPEN3000 dispatching automation monitoring system.
S2, establishing a transformer substation model of the connection mode and the connection sequence of all power plants and equipment in the transformer substation in the power grid according to the acquired real-time operation data of the power grid;
s3, preprocessing the acquired real-time operation data of the power grid to obtain effective measurement data;
s4, performing an alarm evaluation strategy according to the effective measurement data and the switch opening and closing data in the transformer substation;
and S5, after the alarm information is evaluated by the alarm evaluation strategy, classifying the alarm information according to different alarm categories to be displayed on an alarm page.
Further, step S2 specifically includes the following steps:
taking the bus with the highest voltage level in the station as the origin O0The buses of the remaining levels are respectively regarded as points O on the line segments1,O2,…,Om；
Will factory station inner knife switch D1,D2,…,DdBreaker B1,B2,…,BbAnd a transformer C1,C2,…,CcViewed as points on a line segment, DdDenotes the d-th knife switch, BbDenotes the b-th breaker, CcRepresents the c-th transformer;
connecting the end point A of the alternating current line segment1,A2,…,AaAnd terminal equipmentE1,E2,…,EeViewed as the end of a line segment, AaDenotes the a-th AC line end, EeRepresenting the e-th terminal device;
from the origin O0Starting, sequentially linking the disconnecting link, the transformer, the circuit breaker, the alternating current line segment end points and the terminal equipment to obtain a transformer substation model of the connection mode and the connection sequence of all power plants and equipment in the transformer substation in the power grid.
Specifically, taking a fertilizer-mixing area as an example, a transformer substation model of the connection mode and the connection sequence of all power plants and equipment in the transformer substation in the fertilizer-mixing area is shown in fig. 2.
Further, the step S3 specifically includes the following steps:
judging whether the connection between the plant and the OPEN3000 master station network is normal or not, if the connection is normal, determining that the data in the plant are valid, and if the connection is interrupted, determining that the data in the plant are invalid data;
judging the running state of the equipment of the adjacent node of the equipment in the transformer substation model, if the equipment runs normally, determining that the related measurement value of the equipment is valid, and if the equipment does not run, determining that the related measurement value of the equipment is invalid;
and calculating the variation coefficient of the measured data, and determining that the measured data is valid when the variation coefficient is within the variation range, and determining that the measured data is invalid when the variation coefficient is not within the variation range.
Specifically, the process of calculating the coefficient of variation includes:
calculating the average value of the measurement data taken out for n times:
wherein n is the total number of values, i is the value of the number of times, and xiIn order to take out the measurement data,
averaging the measured data obtained for n values;
calculating the standard deviation of the measurement data taken out for n times:
wherein s is the standard deviation of the measured data obtained by taking values for n times;
calculating the ratio of the standard deviation to the average value of the measurement data taken out for n times:
and obtaining the variation coefficient C of the measured data, and measuring the deviation trend of the standard deviation relative to the average value through the variation coefficient C.
Specifically, in practical applications, when the measurement data type is voltage data, current data, active data, reactive data, or temperature data, a constraint condition needs to be adopted to constrain the measurement data, specifically:
when x is voltage data, Ulow＜x＜UhighWherein U islowAs lower limit of voltage theory, UhighThe upper limit of the voltage theory is determined by the rated voltage of the bus.
When x is current data, x is more than or equal to 1.01 and less than or equal to IhighIn which IhighThe theoretical upper limit of the current is determined by the type of equipment.
When x is active data, the absolute value of x is more than or equal to 5.01 and less than or equal to PhighIn which P ishighThe upper limit of the active theory is determined by the type of the equipment.
When x is reactive data, the | x | is more than or equal to 5.01 and less than or equal to QhighWherein Q ishighThe upper limit of the active theory is determined by the type of the equipment.
When x is temperature data, 0 ≦ x ≦ 98.
It should be noted that the above type of metrology data is considered invalid when it does not meet the constraints. When x is other types of metrology data, no constraint is imposed.
Further, the determination condition for determining the validity of the measurement data according to the coefficient of variation C is: cL≤C≤CHIn which C isLA lower limit of variability, C, for this type of measurement dataHThe upper limit of the variation of the type of measurement data. Wherein:
when x is electricityWhile pressing data, CL＝85％，CH＝117％；
When x is current data, CL＝50％，CH＝200％；
When x is active data, CL＝80％，CH＝120％；
When x is reactive data, CL＝80％，CH＝120％；
When x is other type of data, CL＝0.01％，CH＝+∞。
When in use
Then, it indicates that the K variation coefficients do not change, and directly sends out the warning of no change of the measured data, wherein,
is the average of K coefficients of variation, CkIs the k-th coefficient of variation.
Further, the alarm evaluation policy in step S4 is specifically:
when x is active, reactive, voltage, current or other valid measurement data, the alarm evaluation strategy is:
wherein x isLIs the lower limit of alarm, xHFor alarm upper limit, TLIs an out-of-limit duration threshold, T is an out-of-limit duration, RLFor the last alarm time, TnowR is the current time and is the re-alarm time threshold;
the alarm evaluation strategy of the switch opening and closing data in the transformer substation is as follows:
wherein, the switch switching data are circuit breaker, disconnecting link, grounding disconnecting link and protection signalData of opening and closing of the switches, AuAs threshold value of number of switching actions, AsumFor the number of switching operations in a defined period of time, TuFor a switch on duration threshold, TcFor duration of switch-on, TsxzTo count the lower bound of the time period, TuxzAs an upper bound on the statistical time period, RLFor the last alarm time, TnowR is the re-alarm threshold for the current time.
And further, according to the alarm information after the alarm evaluation strategy evaluation, classifying the alarm information according to different alarm categories, pushing the alarm information to a workstation, and displaying the alarm information on an alarm interface.
It should be noted that, in this embodiment, the display mode of the warning information on the warning page specifically includes: occurrence time-alarm category-alarm station-alarm equipment name-alarm reason. The alarm text information has a text flicker prompt of 10 seconds, and plays a corresponding electronic synthesis alarm category voice prompt and an electronic synthesis alarm station voice prompt, the alarm information automatically disappears after the data is recovered to normal, and the alarm information always stays on the first page of an alarm interface under the condition that the alarm does not disappear or is not manually eliminated, so that monitoring personnel are reminded to timely perform accident handling, and the condition that the alarm information is missed is avoided.
The following analysis and explanation take the power grid alarm information of the fertilizer combining area as an example:
by checking the operation records of the currently used OPEN3000 system, the main reasons for the voltage and current frequency out-of-limit are known as follows: data such as voltage, current and active load of some transformer substations are often in an operation state close to an upper limit, under the condition, a system can frequently generate out-of-limit signals to cause frequent out-of-limit, and meanwhile, the overhaul and debugging of the transformer substations also cause invalid out-of-limit information.
In this embodiment, the limit value is adjusted for different devices, and the alarm caused by frequent jitter is removed by using a method of adding delay.
Wherein, the delay setting can be as shown in the following table 1:
TABLE 1
The situation of adding new bus daily voltage fluctuation warning is shown in the following table 2, and accidents caused by overlarge difference between the maximum value and the minimum value of the bus daily voltage are prevented:
TABLE 2
The current mutation alarm display is added, so that monitoring personnel can find current mutation information in the system in time, and the alarm display conditions are shown in table 3:
TABLE 3
According to the embodiment, a time delay method is used according to actual needs to remove a large amount of invalid alarm information caused by frequent jitter, so that interference alarm information is reduced, and the workload of monitoring personnel is reduced. Meanwhile, new alarm modes such as bus voltage fluctuation alarm and the like are added, the requirements of actual power grid operation are met, and the accuracy and the coverage of alarm information screening are improved.
It should be noted that, in practical applications, since the voltage-related limit value complies with the < GB/T12325-2008> standard regulation: the absolute value of the positive and negative deviation of the bus voltage of 35kV and above is not more than 10% of the nominal voltage, and the voltage deviation of the 10kV and 20kV bus is not more than +/-7% of the nominal voltage. The active limit value follows the regulations of two standards of GB/T12326-2008 and national grid company grid electric energy quality technical supervision regulation: the spare capacity of the active power supply is not lower than 20% of the load. The reactive power limit value conforms to the standard regulation of the power quality technical supervision regulation of the power grid of the national grid company: the reactive power of the 35 kV-110 kV transformer substation is not less than 10% of the main transformer load. According to the regulations, the embodiment also establishes data relation by setting limit values, specifying time periods, judging remote measuring alarm threshold values, remote signalling change times, remote signalling deflection duration, remote measuring alarm out-of-limit duration, combining data of area specialization and the like, screens alarm information and improves the accuracy of alarm information screening.
As shown in fig. 3, the present embodiment discloses a scheduling operation information inspection system, which includes: the system comprises a host server 10 and at least one workstation 20, wherein the host server 10 and the at least one workstation 20 are connected to the same network segment of the Ethernet by using a router, and the host server 10 is connected with an OPEN3000 dispatching automation monitoring system through a network. The host server 10 is provided with a universal character standard keyboard (with a mouse) and a liquid crystal display, is connected with the existing OPEN3000 dispatching automation monitoring system through a network, obtains measurement data, namely all real-time active, reactive, voltage, current, temperature and other data of a power grid from the existing OPEN3000 dispatching automation monitoring system, performs cleaning, screening and analysis judgment on the data, and pushes information generated after the analysis judgment to each workstation 20.
Further, the host server 10 is provided with Mysql database software, so that various data generated by the scheduling operation information inspection system can be stored for a long time, and the host server 10 can be used as a history server and a data acquisition server at the same time.
Here, the workstation 20 is equipped with a universal character standard keyboard (with a mouse), a liquid crystal display, a sound, a graphic interface operating system, and can display various information pushed by the main server 10, display related history data and tables, display settings of the current schedule operation information inspection system, and modify the settings through operation of an operator.
It should be noted that, according to the scheduling operation information inspection method and the scheduling operation information inspection system disclosed in this embodiment, through filtering the irrelevant information, reducing the interference information and a novel alarm manner, the monitoring personnel can timely and cleanly observe the accidents and abnormal conditions in the operation of the power grid, and the work effect of the monitoring and scheduling personnel is improved. Has the following beneficial effects:
(1) after the collected original data are preprocessed, a large amount of frequently-occurring data and invalid data are eliminated, and the quantity of alarm information needing to be checked by monitoring personnel is reduced.
(2) After the collected measurement value is not changed within a certain time, the monitoring personnel is informed by using the alarm information, and can master the system operation condition in the first time and carry out corresponding judgment, so that the problem that the accident treatment is not timely because the measurement data is not updated is avoided.
(3) The method sets a flexible alarm strategy according to different equipment types and alarm types, the thresholds of different equipment, different measurement limits and different types of alarm information are flexible and configurable, and the method can carry out configuration such as uniform alarm limit, fault threshold, out-of-limit, alarm delay time, non-alarm time after reset, alarm duration time and the like, thereby greatly reducing the quantity of alarm information.
(4) The novel alarm modes of multi-line load overload, press overload, bus voltage fluctuation, bus single-phase grounding and the like are adopted.
(5) When the alarm information is displayed, the text reminding and the alarm voice playing mode are combined, and the alarm information is continuously displayed on an alarm interface under the condition that the alarm information is not reset or manually eliminated so as to remind monitoring personnel to timely perform accident handling.
(6) The method for searching unconventional equipment measuring value and judging alarm according to the keywords contained in the equipment name carries out uniform alarm strategy setting on the equipment containing the same keywords, so that the measuring values of the same type of equipment can carry out corresponding alarm strategy configuration to carry out alarm.
(7) The method comprises the steps of establishing a corresponding mathematical model according to the connection mode of actual equipment of a plant station, determining whether to trust the measured value of the equipment by judging the working state of each piece of equipment connected with the mathematical model and combining the measured value, calculating the variation coefficient of data in a continuous value taking mode, removing data burrs and abnormal data according to the variation coefficient, and determining the effectiveness of the measured data.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (5)
1. A scheduling operation information inspection method is characterized by comprising the following steps:
s1, acquiring real-time operation data of the power grid from the OPEN3000 dispatching automation monitoring system;
s2, establishing a transformer substation model of the connection mode and the connection sequence of all power plants and equipment in the transformer substation in the power grid according to the acquired real-time operation data of the power grid;
s3, preprocessing the acquired real-time operation data of the power grid to obtain effective measurement data, and specifically comprises the following steps: judging whether the connection between the plant and the OPEN3000 master station network is normal or not, if the connection is normal, determining that the data in the plant are valid, and if the connection is interrupted, determining that the data in the plant are invalid data;
judging the running state of the equipment of the adjacent node of the equipment in the transformer substation model, if the equipment runs normally, determining that the related measurement value of the equipment is valid, and if the equipment does not run, determining that the related measurement value of the equipment is invalid;
calculating the variation coefficient of the measured data, determining that the measured data is valid when the variation coefficient is within the variation range, and determining that the measured data is invalid when the variation coefficient is not within the variation range;
s4, performing an alarm evaluation strategy according to the effective measurement data and the switch opening and closing data in the transformer substation, wherein the alarm evaluation strategy in the step S4 specifically comprises the following steps:
the alarm evaluation strategy of the effective measurement data is as follows:
wherein x isLIs the lower limit of alarm, xHIs an alarm upper limit value, xiFor the extracted measurement data, TLIs an out-of-limit duration threshold, T is an out-of-limit duration, RLFor the last alarm time, TnowR is the current time and is the re-alarm time threshold;
the alarm evaluation strategy of the switch opening and closing data in the transformer substation is as follows:
wherein A isuAs threshold value of number of switching actions, AsumFor the number of switching operations in a defined period of time, TuFor a switch on duration threshold, TcFor duration of switch-on, TsxzTo count the lower bound of the time period, TuxzAs an upper bound on the statistical time period, RLFor the last alarm time, TnowR is the re-alarm threshold value when the current time is the current time;
and S5, after the alarm information is evaluated by the alarm evaluation strategy, classifying the alarm information according to different alarm categories to be displayed on an alarm page.
2. The method for routing inspection according to scheduling operation information of claim 1, wherein the step S2 specifically includes:
taking the bus with the highest voltage level in the station as the origin O0The buses of the remaining levels are respectively regarded as points O on the line segments1,O2,…,Om；
Will factory station inner knife switch D1,D2,…,DdBreaker B1,B2,…,BbAnd a transformer C1,C2,…,CcPoints on the line segment;
connecting the end point A of the alternating current line segment1,A2,…,AaAnd terminal equipment E1,E2,…,EeEnd points considered as line segments;
from the origin O0Starting, sequentially linking the disconnecting link, the transformer, the circuit breaker, the alternating current line segment end points and the terminal equipment to obtain a transformer substation model of the connection mode and the connection sequence of all power plants and equipment in the transformer substation in the power grid.
3. The method for routing inspection of scheduling operation information according to claim 1, wherein the process of calculating the coefficient of variation includes:
calculating the average value of the measurement data taken out for n times;
calculating the standard deviation of the measurement data taken out for n times;
and calculating the ratio of the standard deviation to the average value of the measurement data taken out for n times to obtain the variation coefficient of the measurement data.
4. A scheduling operation information inspection system is characterized by comprising a host server and at least one workstation, wherein the host server and the at least one workstation are connected to the same network segment of an Ethernet network by using a router, the host server is connected with an OPEN3000 scheduling automation monitoring system through a network, and the host server is used for executing the steps of the scheduling operation information inspection method according to any one of claims 1-3.
5. The system for routing inspection according to claim 4, wherein the host server is implemented with Mysql database software and functions as both a history server and a data collection server.
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| CN107942872A (en) * | 2017-12-11 | 2018-04-20 | 国家电网公司 | A kind of power scheduling operation management system |
| CN108551208A (en) * | 2018-04-26 | 2018-09-18 | 国网上海市电力公司 | A kind of area power grid monitoring information takes place frequently comprehensive treatment system |
| CN109389524B (en) * | 2018-11-20 | 2021-12-24 | 国网山西省电力公司 | Integrated operation and maintenance cooperative management method based on power grid data, storage device and terminal |
| CN110247474B (en) * | 2019-05-22 | 2022-01-25 | 国网安徽省电力有限公司 | Statistical summary method and system based on D5000 system power grid operation state |
| CN110310009A (en) * | 2019-05-29 | 2019-10-08 | 国网安徽省电力有限公司合肥供电公司 | A kind of alarm of dispatching of power netwoks operation risk and panorama appraisal procedure |
| CN111162955B (en) * | 2020-01-22 | 2022-07-29 | 中国人民解放军61623部队 | Program-controlled exchange network management alarm auxiliary processing method and system |
| CN117495357B (en) * | 2024-01-02 | 2024-04-05 | 南京绛门信息科技有限公司 | Electric power data supervision system and method based on big data |
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