CN111241354A - Quality evaluation method for big data of operation of regulation and control cloud power grid - Google Patents
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Abstract
The utility model discloses a technical problem that can not discover in time that regulation and control cloud electric wire netting operation big data is unusual among the prior art is overcome to this disclosure, discloses a regulation and control cloud electric wire netting operation big data quality assessment method, relates to electric power automation field, includes: s1, acquiring telemetering qualified rate data; s2, acquiring bus balance rate data; s3, calculating according to the telemetering qualified rate data and the bus balance rate data to obtain a data accuracy dimension; and S4, when the data accuracy dimensionality is lower than a preset value, early warning is carried out. By the method, the operation big data of the energy management systems in various regions can be evaluated, the abnormity of the operation big data of the regulation cloud power grid can be found in time, the problem areas can be checked and processed in time, the influence of low-quality data is reduced and eliminated, and the method is of great importance for analysis and decision of the operation big data application of the regulation cloud power grid.
Description
Technical Field
The invention belongs to the field of electric power automation, and particularly relates to a quality evaluation method for regulating and controlling operation big data of a cloud power grid.
Background
All application analysis and decisions on the regulation and control cloud power grid are based on the regulation and control cloud power grid operation big data, if the regulation and control cloud power grid operation big data quality is in a problem, the subsequent analysis and decisions are affected, the regulation and control cloud power grid operation big data comes from energy management systems in various regions, through a historical data collecting program, the regulation and control cloud power grid operation big data are collected by a card information mechanism and stored in corresponding data tables according to equipment types, but problems possibly occur due to the fact that the regulation and control cloud power grid operation big data quality is large in source ends and uneven in network communication conditions or due to the fact that a cloud database is used, all applications on the regulation and control cloud power grid can obtain wrong analysis results and wrong decisions, and therefore a method capable of evaluating the regulation and control cloud power grid operation big data quality is needed, and when the regulation and control cloud power grid operation big data quality is in a problem, workers can be timely reminded, and when all application analysis and decisions on the regulation and control And (6) tighting.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and provides a quality evaluation method for big data of operation of a regulation and control cloud power grid, which can find the abnormity of the big data of operation of the regulation and control cloud power grid in time.
To achieve the object, the method comprises the following steps:
a quality evaluation method for big data of operation of a regulation cloud power grid comprises the steps of obtaining telemetering qualification rate data and bus balance rate data, calculating according to the telemetering qualification rate data and the bus balance rate data to obtain a data accuracy dimension, and carrying out early warning when the data accuracy dimension is lower than a preset value.
Further, the obtaining telemetry qualification rate data comprises: counting the total telemetering points of the power grid in the pre-evaluation area in the big operation data of the regulating cloud power grid, wherein the telemetering belongs to the power grid in the pre-evaluation area and comprises three types of active power, reactive power and voltage, all telemetering qualified point calculation methods for telemetering in the total telemetering points are sequentially judged, the qualified telemetering points are counted according to the judgment result, and telemetering qualified rate data are calculated according to the total telemetering points and the qualified telemetering points.
Further, the telemetry qualified point calculation method comprises the following steps: reading the remote measurement type of the pre-judgment remote measurement and the equipment type of the pre-judgment remote measurement, obtaining a reference value of the pre-judgment remote measurement, wherein the equipment type comprises a line, a transformer and a generator, reading a remote measurement real-time value and a state estimation value of the pre-judgment remote measurement in the big operation data of the regulation cloud power grid, calculating according to the reference value, the remote measurement real-time value and the state estimation value of the pre-judgment remote measurement to obtain an error of the pre-judgment remote measurement, and judging whether the pre-judgment remote measurement is qualified or not according to the remote measurement type and the error.
Further, the acquiring the bus balance rate data includes: the method comprises the steps of obtaining the total number of bus effective nodes in a pre-evaluation area, obtaining the number of active bus balance nodes through calculation and judgment of a bus active balance point calculation method according to the bus effective nodes in the total number of the bus effective nodes, obtaining the number of reactive bus balance nodes through calculation and judgment of a bus reactive balance point calculation method according to the bus effective nodes in the total number of the bus effective nodes, and obtaining bus balance rate data through calculation according to the total number of the bus effective nodes, the number of the active bus balance nodes and the number of the reactive bus balance nodes.
Further, the obtaining of the total number of bus valid nodes in the pre-evaluation area includes: the bus node number of a pre-evaluation area in the big operation data of the regulated and controlled cloud power grid is counted, whether the bus node in the bus node number is a bus effective node or not is judged, the bus equipment belongs to the pre-evaluation area and has no parallel buses or has parallel buses but the bus effective node is not counted by the parallel buses, and the total number of the bus effective nodes in the pre-evaluation area is counted according to a judgment result.
Further, the bus active balance point calculation method comprises the following steps: active telemetering related to bus nodes is searched, if parallel buses exist, the active telemetering related to the parallel buses is added, all the searched active telemetering are accumulated to obtain an accumulated value, the active allowable standard deviation of the bus nodes is obtained according to the voltage grade of the bus nodes, and whether the bus nodes are in active balance or not is judged according to the accumulated value and the active allowable standard deviation.
Further, the bus reactive balance point calculation method comprises the following steps: searching reactive remote measurement related to a node of a pre-judgment bus, if the bus is parallel, adding the reactive remote measurement related to the parallel bus, accumulating all the searched reactive remote measurements to obtain an accumulated value, acquiring a reactive allowable standard deviation of the pre-judgment bus according to the voltage grade of the pre-judgment bus, and judging whether the node of the pre-judgment bus is in reactive balance or not according to the accumulated value and the reactive allowable standard deviation.
The technical scheme of the present disclosure can be implemented to obtain the following beneficial technical effects:
the quality assessment problem of the big data of the operation of the regulation and control cloud power grid is solved, the big data of the operation of the energy management system in each region can be assessed through the dimension of data accuracy, if early warning occurs in a certain region, it is indicated that the quality of the big data of the operation of the regulation and control cloud power grid is in a problem, and all application analysis and decision on the regulation and control cloud power grid are kept alert.
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Fig. 1 is a flowchart of a quality evaluation method for regulating and controlling cloud power grid operation big data in an embodiment of the present disclosure.
Detailed Description
Example one
To facilitate understanding of those skilled in the art, the present invention will be further described with reference to specific examples:
referring to fig. 1, a quality evaluation method for regulating and controlling cloud power grid operation big data includes:
step S1: acquiring telemetering qualified rate data;
step S2: acquiring bus balance rate data;
step S3: calculating according to the telemetering qualification rate data and the bus balance rate data to obtain a data accuracy dimension;
step S4: and when the data accuracy dimensionality is lower than a preset value, early warning is carried out.
The preset value can be set according to actual requirements, such as 95%.
The method can evaluate the operation big data of the energy management system in each region, if early warning occurs in a certain region, the quality of the operation big data of the regulation and control cloud power grid is in a problem, all application analysis and decision on the regulation and control cloud power grid are kept alert, meanwhile, a worker can accurately position the region with the problem through the early warning information, the region with the problem can be timely checked and processed, the influence of low-quality data is reduced and eliminated, and the method is of great importance to the analysis and decision of the operation big data application of the regulation and control cloud power grid.
Specifically, the data accuracy dimension can be obtained by calculation through a formula one: wac＝RYCGJ×80％+BLC×20％，WacFor the data accuracy dimension, RYCGJFor telemetering yield, BLCIs the bus balance rate.
Further, the obtaining telemetry qualification rate data comprises: counting the total telemetering points of the power grid in the pre-evaluation area in the big operation data of the regulation cloud power grid, wherein the telemetering belongs to the power grid in the pre-evaluation area and comprises three types of active power, reactive power and voltage, all telemetering qualified point calculation methods for telemetering in the total telemetering points are sequentially judged, the qualified telemetering points are counted according to the judgment result, and the qualified telemetering rate is calculated according to the total telemetering points and the qualified telemetering points.
Specifically, the telemetry qualification rate can be calculated by a formula two: rYCGJ＝(SHG/SYC)×100％，RYCGJFor telemetering of yield, SHGCounting qualified points for remote measurement, SYCThe total number of points is telemetered.
Further, the telemetry qualified point calculation method comprises the following steps: reading a remote measurement type of pre-judgment remote measurement and an equipment type of the pre-judgment remote measurement, wherein the equipment type comprises a line, a transformer and a generator, obtaining a voltage grade of the equipment type, obtaining a reference value of the pre-judgment remote measurement according to the remote measurement type, the equipment type and the voltage grade of the remote measurement, reading a remote measurement real-time value and a state estimation value of the pre-judgment remote measurement in big operation data of a regulation cloud power grid, calculating to obtain an error of the pre-judgment remote measurement according to the reference value, the remote measurement real-time value and the state estimation value of the pre-judgment remote measurement, judging whether the remote measurement qualified point is a remote measurement qualified point according to the type of the pre-judgment remote measurement and: the error of active telemetering is less than 2.0% and is a telemetering qualified point, the error of reactive telemetering is less than or equal to 3.0% and is a telemetering qualified point, and the error of voltage telemetering is less than or equal to 0.5% and is a telemetering qualified point.
In particular, the method comprises the following steps of,
a. the telemetering type is active and reactive of the line, and a reference value is obtained according to the voltage level of the line: 1000kV Voltage class, SYC5196 MVA; 750kV Voltage class, SYC2598 MVA; 500kV Voltage class, SYC1082 MVA; 330kV Voltage class, SYC686 MVA; 220kV Voltage class, SYC305 MVA; 110kV Voltage class, SYC114 MVA; 66kV Voltage class, SYC70 MVA; 35kV Voltage class, SYC＝37MVA；
b. The telemetry type is the equipment voltage, and a reference value is obtained according to the voltage grade: 1000kV Voltage class, SYC1200 MVA: 750kV Voltage class, SYC900 MVA; 500kV Voltage class, SYC600 MVA; 330kV Voltage class, SYC396 MVA; 220kV Voltage class, SYC264 MVA; 110kV Voltage class, SYC132 MVA; 66kV Voltage class, SYC79.2 MVA: 35kV Voltage class, SYC＝42MVA；
c. The remote measuring type is active and reactive power of transformer winding SYCThe rated capacity of the winding of the corresponding transformer is obtained;
d. the type of telemetry being power generationActive and reactive of the machine, SYCThe rated capacity of the corresponding generator;
said SYCThe reference value for pre-judging the telemetry is provided.
Specifically, the error of the pre-judgment telemetry can be obtained by calculation according to a formula three: wYC＝|EYC-RYC|/SYC*100％，WYCTo pre-determine telemetry errors, RYCTelemetering real-time values for prejudgement telemetering, EYCFor prejudging the state estimate of the telemetry, SYCThe reference value for pre-judging the telemetry is provided.
Further, the acquiring the bus balance rate data includes: the method comprises the steps of obtaining the total number of bus effective nodes in a pre-evaluation area, obtaining the number of active bus balance nodes through calculation and judgment of a bus active balance point calculation method according to the bus effective nodes in the total number of the bus effective nodes, obtaining the number of reactive bus balance nodes through calculation and judgment of a bus reactive balance point calculation method according to the bus effective nodes in the total number of the bus effective nodes, and obtaining bus balance rate data through calculation according to the total number of the bus effective nodes, the number of the active bus balance nodes and the number of the reactive bus balance nodes.
Specifically, the bus balance rate can be obtained by calculation according to a formula four: b isLC＝[(Bpb+Bqb)/(Bsm×2)]×100％，BLCIs the bus balance ratio, BpbNumber of active bus balancing nodes, BqbNumber of reactive bus balancing nodes, BsmIs the total number of bus effective nodes.
Further, the obtaining of the total number of bus valid nodes in the pre-evaluation area includes: the bus node number of a pre-evaluation area in the big operation data of the regulated and controlled cloud power grid is counted, whether the bus node in the bus node number is a bus effective node or not is judged, the bus equipment belongs to the pre-evaluation area and has no parallel buses or has parallel buses but the bus effective node is not counted by the parallel buses, and the total number of the bus effective nodes in the pre-evaluation area is counted according to a judgment result.
Further, the bus bar is successfully flatThe balance point calculation method comprises the following steps: searching active telemetering associated with bus nodes to be judged in advance, if buses are parallel, adding the active telemetering associated with the buses in parallel, accumulating all the searched active telemetering to obtain an accumulated value, acquiring active allowable standard deviation of the bus to be judged in advance according to the voltage grade of the bus to be judged in advance, and if the absolute value of P is greater than the preset threshold value of P, judging whether the bus node is parallel to the bus node to be judged in advance according to the accumulated valuebs|＞|PstIf not, the bus node is judged to be an active imbalance point, otherwise, the bus node is an active imbalance point, and the P is an active balance pointbsTo add value, PstAnd counting the number of active bus balancing nodes according to a judgment result in order to pre-judge the active allowable standard deviation of the bus.
Specifically, the allowable standard deviation of the active power of the voltage class of 220kV (330kV) or less is 10MW, and the allowable standard deviation of the active power of 500kV or more is 20 MW.
Further, the bus reactive balance point calculation method comprises the following steps: searching reactive telemetering associated with bus nodes to be judged in advance, if parallel buses exist, adding the reactive telemetering associated with the parallel buses, accumulating all the searched reactive telemetering to obtain an accumulated value, acquiring reactive allowable standard deviation of the bus to be judged in advance according to the voltage grade of the bus to be judged in advance, and if the absolute value of Q is greater than the threshold value of Q, acquiring reactive allowable standard deviation of the bus to be judged in advancebs|＞|QstIf not, the bus node is judged to be a reactive unbalance point, otherwise, the bus node is judged to be a reactive balance point, and Q is the reactive balance pointbsTo an accumulated value, QstAnd counting the number of reactive bus balance nodes according to the judgment result in order to pre-judge the reactive allowable standard deviation of the bus.
Specifically, the permissible standard deviation of reactive power of 220kV (330kV) or less is 20MVar, and the permissible standard deviation of reactive power of 500kV or more is 30 MVar.
Example two
The method is applied to regularly evaluate the quality of the big data of the XX district energy management systems of the cloud power grid regulated and controlled by the XX province bureau in China coastal, and ranks the data quality of all district energy management systems according to the calculated quantitative index.
Specifically, e.g. region No. 1Wac98% of the total weight of the water, region 2Wac99% in region No. 3Wac95% of No. 4 landZone Wac100%, area No. 5Wac97% in No. 6 area Wac79%, the regions can be visually ranked according to the numerical values, the first region is the region No. 4, the second region No. 2, the third region No. 1, the fourth region No. 5, the fifth region No. 3 and the sixth region No. 6, the three regions ranked last can be required to be subjected to self-checking and improvement according to the ranking, the quality of cloud power grid big data can be better improved and controlled by the self-checking and improvement of the three regions last, and the quality of the cloud power grid big data can be better improved and controlled, such as the region No. 6WacAnd if the content is 79% below 80%, the cloud power grid data in region No. 6 is not brought into the regulation cloud analysis application system, and the admission check needs to be rearranged.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an embodiment of the present invention, but the technical features of the present invention are not limited thereto, and any changes or modifications within the technical field of the present invention by those skilled in the art are covered by the claims of the present invention.
Claims (7)
1. A quality evaluation method for big data of operation of a regulation cloud power grid is characterized by comprising the following steps:
acquiring telemetering qualified rate data;
acquiring bus balance rate data;
calculating according to the telemetering qualification rate data and the bus balance rate data to obtain a data accuracy dimension;
and when the data accuracy dimensionality is lower than a preset value, early warning is carried out.
2. The method for evaluating the quality of the big data for regulating and controlling the operation of the cloud power grid according to claim 1, wherein the step of acquiring the telemetry qualified rate data comprises the steps of:
counting the total number of telemetering points of a power grid in a pre-evaluation area in big operation data of a regulation cloud power grid, wherein the telemetering belongs to the power grid in the pre-evaluation area and comprises three types of active power, reactive power and voltage;
all telemetering qualified point calculation methods for telemetering in the total telemetering points are sequentially judged;
counting the number of the qualified telemetering points according to the judgment result;
and calculating according to the total telemetering points and the qualified telemetering points to obtain the qualified telemetering rate data.
3. The method for evaluating the quality of the big data for regulating and controlling the operation of the cloud power grid according to claim 2, wherein the method for calculating the telemetering qualified point comprises the following steps:
reading a remote measuring type of pre-judgment remote measuring and a device type to which the remote measuring type belongs, and obtaining a reference value of the pre-judgment remote measuring, wherein the device type comprises a line, a transformer and a generator;
reading a remote measurement real-time value and a state estimation value for pre-judging remote measurement in big operation data of a regulation cloud power grid;
calculating according to the reference value, the remote measurement real-time value and the state estimation value of the pre-judgment remote measurement to obtain the error of the pre-judgment remote measurement;
and judging whether the pre-judged telemetering is qualified or not according to the type and the error of the pre-judged telemetering.
4. The method for evaluating quality of big data for regulating and controlling operation of the cloud power grid according to claim 1, wherein the obtaining of the bus balance rate data comprises:
acquiring the total number of bus effective nodes in a pre-evaluation area;
calculating and judging to obtain the number of active bus balance nodes by a bus active balance point calculation method according to bus effective nodes in the total number of the bus effective nodes;
calculating and judging to obtain the number of reactive bus balance nodes by a bus reactive balance point calculation method according to bus effective nodes in the total number of bus effective nodes;
and calculating to obtain bus balance rate data according to the total number of the bus effective nodes, the number of active bus balance nodes and the number of reactive bus balance nodes.
5. The method for evaluating quality of big data for regulating and controlling operation of the cloud power grid according to claim 4, wherein the step of obtaining the total number of bus effective nodes in the pre-evaluation area comprises the following steps:
counting the number of bus nodes in a pre-evaluation area in the big operation data of the regulation cloud power grid;
judging whether bus nodes in the bus node number are bus effective nodes or not, wherein the judgment condition is that the bus equipment belongs to a pre-evaluation area and has no parallel buses or has parallel buses but the bus effective nodes are not counted;
and counting the total number of the bus effective nodes in the pre-evaluation area according to the judgment result.
6. The evaluation method for regulating and controlling the operation big data quality of the cloud power grid according to claim 4, wherein the bus active balance point calculation method comprises the following steps:
searching active telemetering associated with bus nodes which are pre-judged, if buses are parallel, adding the active telemetering associated with the parallel buses, and accumulating all the searched active telemetering to obtain an accumulated value;
obtaining an active power allowable standard deviation of the pre-judged bus according to the voltage grade of the pre-judged bus;
and judging whether the bus node is in active balance or not according to the accumulated value and the active allowable standard deviation.
7. The evaluation method for regulating and controlling the operation big data quality of the cloud power grid according to claim 4, wherein the bus reactive balance point calculation method comprises the following steps:
searching reactive telemetering associated with bus nodes which are pre-judged, if parallel buses exist, adding the reactive telemetering associated with the parallel buses, and accumulating all the searched reactive telemetering to obtain an accumulated value;
obtaining the reactive power allowable standard deviation of the pre-judged bus according to the voltage grade of the pre-judged bus;
and judging whether the bus nodes are in reactive power balance or not according to the accumulated value and the reactive power allowable standard deviation.
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