CN112417654B - Comprehensive analysis method and system for micro synchronous phasor measurement - Google Patents
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Abstract
The invention discloses a comprehensive analysis method and a system for micro synchronous phasor measurement, which evaluate the availability and the rationality of each mu PMU measurement, evaluate the reliability of a single mu PMU measurement based on the availability and the rationality evaluation result, evaluate the reliability of the plant mu PMU measurement and the reliability of the system mu PMU measurement based on the reliability evaluation result of the single mu PMU measurement, and realize the comprehensive analysis and evaluation of the mu PMU measurement.
Description
Technical Field
The invention relates to a comprehensive analysis method and a comprehensive analysis system for micro synchronous phasor measurement, and belongs to the technical field of intelligent analysis and control of power systems.
Background
A synchronous phasor measurement technology based on a Global Positioning System (GPS) technology takes a new step in a power distribution network, dynamic synchronous monitoring of the power distribution network in a wide area range is achieved, and a scheduling monitoring range is expanded from a steady state to a dynamic state. The wide area measurement system of the power distribution network consists of micro synchronous phasor measurement units (hereinafter referred to as mu PMU), a scheduling end master station and a high-speed data communication network, wherein the micro PMU distributed at a station section is used for synchronously acquiring dynamic process data (generally referred to as mu PMU measurement) such as phasors (voltage, current and the like) and analog quantities (power, frequency and the like) of different electric points in the power grid through the geographically dispersed mu PMU, and uploading the dynamic process data to the scheduling end master station at the speed of 25 frames/second-100 frames/second, while random interference and accidental errors may exist in the data acquisition and data transmission processes, so suspicious data and missing data may exist in the mu PMU measurement.
The mu PMU measurement quality directly affects the correctness and reliability of the application, but currently, research on a mu PMU measurement analysis method is still in an initial stage, and no corresponding method is used for comprehensively analyzing and evaluating the mu PMU measurement.
Disclosure of Invention
The invention provides a comprehensive analysis method and a comprehensive analysis system for micro synchronous phasor measurement, which solve the problems disclosed in the background art.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a comprehensive analysis method for micro synchronous phasor measurement comprises,
evaluating the availability of each mu PMU measurement according to the acquired mu PMU network link state and the mu PMU uploading message;
evaluating the rationality of each mu PMU measurement according to the obtained mu PMU measurement data and SCADA measurement data;
evaluating the reliability of each mu PMU measurement according to each mu PMU measurement availability evaluation result and each mu PMU measurement rationality evaluation result;
and according to the reliability evaluation result of each mu PMU measurement, evaluating the reliability of the plant mu PMU measurement and the reliability of the system mu PMU measurement.
According to the obtained mu PMU network link state and mu PMU uploading message, evaluating the usability of each mu PMU measurement, the specific process is,
acquiring the network link state of the acquisition subsystem and the mu PMU, and evaluating the channel availability measured by the mu PMU;
and acquiring a mu PMU report in real time, analyzing fields in the report, and evaluating the data availability and the data time sequence availability measured by the mu PMU.
According to the obtained mu PMU measurement data and SCADA measurement data, evaluating the rationality of each mu PMU measurement,
acquiring mu PMU measurement real-time data, SCADA measurement real-time data and mu PMU measurement historical data;
calculating the error degree of the mu PMU measurement real-time data and the SCADA measurement real-time data, and evaluating the rationality of the data error of the mu PMU measurement;
measuring three-phase voltage phasor in real-time data according to the mu PMU, calculating the maximum unbalance degree of the three-phase voltage, and evaluating the rationality of the three-phase voltage measured by the mu PMU;
measuring three-phase current phasor in real-time data according to the mu PMU, calculating the maximum unbalance degree of the three-phase current, and evaluating the rationality of the three-phase current measured by the mu PMU;
and calculating the error degree of the real-time mu PMU measurement data and the historical mu PMU measurement data, and evaluating the rationality of the historical mu PMU measurement data.
The error degree between the real-time data measured by mu PMU and the real-time data measured by SCADA is calculated by the following formula,
wherein, P e Error degree P of real-time data measured by mu PMU and SCADA r 、S r Respectively measuring real-time data by using a mu PMU and real-time data by using an SCADA (supervisory control and data acquisition);
the calculation formula of the maximum unbalance degree of the three-phase voltage is as follows,
wherein, V e Is the maximum unbalance of three-phase voltage, V a 、V b 、V c Respectively three phase voltage value, V mg The mean value of the three-phase voltage is obtained;
the maximum unbalance of the three-phase current is calculated by the formula,
wherein, I e Maximum unbalance of three-phase currents, I a 、I b 、I c Respectively, three phase current values, I mg The three-phase current mean value;
the error between the mu PMU measurement real-time data and the mu PMU measurement historical data is calculated by the following formula,
wherein, P e The error degree of the real-time data measured by the mu PMU and the historical data measured by the mu PMU, P r 、P h Mu PMU measurement real-time data and mu PMU measurement historical data are respectively.
The reliability evaluation of the mu PMU measurement comprises the real-time reliability evaluation and the long-term reliability evaluation of the mu PMU measurement;
the reliability evaluation of the plant mu PMU measurement comprises the real-time reliability evaluation and the long-term reliability evaluation of the plant mu PMU measurement;
the reliability evaluation of the mu PMU measurement of the system comprises real-time reliability evaluation and long-term reliability evaluation of the mu PMU measurement of the system.
Real-time reliability assessment of μ PMU measurements: responsive to the PMU measurement being available and reasonable, the PMU measurement is reliable;
evaluation of long-term reliability of μ PMU measurements: calculating long-term reliability of mu PMU measurements from the time dimension
Evaluating long-term reliability of the mu PMU measurement; wherein S t Measuring reliable duration for mu PMU, R t Total time was measured for μ PMU.
And (3) evaluating the real-time reliability of the plant mu PMU measurement: according to the measured reliable quantity of the factory-station mu PMU, calculating the measured reliability of the factory-station mu PMU
Evaluating real-time reliability evaluation of plant mu PMU measurement; where S p Measuring the reliable quantity of the plant mu PMU, wherein the sigma S is the total quantity of the plant mu PMU;
and (3) long-term reliability evaluation of plant mu PMU measurement: long term reliability as measured from a time dimension computing plant mu PMU
Evaluating the long-term reliability of the plant mu PMU measurement; wherein
For the plant mu PMU to measure the reliable duration,
the total time is measured for the mu PMU in the plant, and N is the measured quantity of the mu PMU in the plant.
And (3) evaluating the real-time reliability of the mu PMU measurement of the system: calculating the measurement reliability of the system mu PMU according to the measurement reliability of the system mu PMU
Evaluating the real-time reliability of the mu PMU measurement of the evaluation system; wherein sigma S p Measuring the reliable quantity of the system mu PMU, wherein sigma S is the total quantity of the system mu PMU;
long-term reliability assessment of system μ PMU measurements: long term reliability as measured from a time dimension calculation system mu PMU
Evaluating the long-term reliability of the mu PMU measurement of the system; wherein
For the system PMU to measure the reliable duration,
total time is measured for the mu PMU of the system, and N' is the measured quantity of the mu PMU in the system.
A micro-comprehensive analysis system for synchronous phasor measurement comprises,
an availability evaluation module: evaluating the availability of each mu PMU measurement according to the acquired mu PMU network link state and the mu PMU uploading message;
a rationality evaluation module: evaluating the rationality of each mu PMU measurement according to the obtained mu PMU measurement data and SCADA measurement data;
single reliability evaluation module: evaluating the reliability of each mu PMU measurement according to each mu PMU measurement availability evaluation result and each mu PMU measurement rationality evaluation result;
the plant station and system reliability evaluation module: and according to the measurement reliability evaluation results of the mu PMUs, evaluating the measurement reliability of the mu PMUs of the plant station and the measurement reliability of the mu PMU of the system.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a synthetic analysis method of microsynchronous phasor measurement.
The invention achieves the following beneficial effects: 1. the method and the system evaluate the availability and the rationality of each mu PMU measurement, evaluate the reliability of a single mu PMU measurement based on the availability and the rationality evaluation result, evaluate the reliability of the plant mu PMU measurement and the reliability of the system mu PMU measurement based on the reliability evaluation result of the single mu PMU measurement, and realize the comprehensive analysis and evaluation of the mu PMU measurement; 2. according to the invention, comprehensive analysis and evaluation are carried out on the mu PMU measurement of the system by adopting a tree hierarchical structure from a space dimension and a time dimension, the mu PMU measurement data management is enhanced, the operation condition of the distribution network wide area measurement system is mastered practically, and the operation level of the dispatching automation system is further improved.
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FIG. 1 is a block diagram of the method of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, a comprehensive analysis method for micro synchrophasor measurement includes the following steps:
step 1, obtaining a mu PMU network link state and a mu PMU uploading message from an intelligent distribution network automation system, and evaluating the usability of each mu PMU measurement according to the obtained mu PMU network link state and the mu PMU uploading message.
The usability evaluation of the mu PMU measurement comprises channel usability evaluation of the mu PMU measurement, data usability evaluation of the mu PMU measurement and data time sequence usability evaluation of the mu PMU measurement; the specific process is as follows:
11) and acquiring the network link state of the acquisition subsystem and the mu PMU from an intelligent distribution network automation system, and evaluating the channel availability measured by the mu PMU.
The acquisition subsystem and the mu PMU are in network communication through TCP/IP, when the mu PMU physical network interruption or TCP/IP reading and writing error is detected, the mu PMU channel is analyzed and judged to be interrupted, namely the mu PMU measurement data is unavailable, otherwise, the mu PMU measurement data is available.
12) And acquiring a mu PMU (phasor measurement unit) report from an intelligent distribution network automation system in real time, analyzing fields in the report, and evaluating the data availability and the data time sequence availability measured by the mu PMU.
The message comprises a status flag and a second equal, the status flag is specifically an STAT field, and the STAT field is analyzed, wherein the STAT field is determined to be abnormal when the Bit 15 is 1, the device is determined to be abnormal when the Bit 14 is 1, and the GPS is determined to be out of step when the Bit 13 is 1. Mu PMU measurement data is unavailable when data abnormality, device abnormality and GPS step loss occur, and mu PMU measurement data is available in other conditions.
The second equal part is particularly an FRACSEC field, the FRACSEC field is analyzed, when the data transmission sequence is detected to be discontinuous, the data frame loss is judged, namely the mu PMU measurement data time sequence is unavailable, otherwise, the mu PMU measurement data time sequence is available.
And 2, acquiring a primary equipment model of the intelligent distribution network automation system, and evaluating the rationality of each mu PMU measurement based on the mu PMU measurement data and the SCADA measurement data acquired by the primary equipment model.
The rationality evaluation of mu PMU measurement comprises data error rationality evaluation of mu PMU measurement, three-phase voltage rationality evaluation of mu PMU measurement, three-phase current rationality evaluation of mu PMU measurement and historical data rationality evaluation of mu PMU measurement; the specific process is as follows:
21) acquiring a primary equipment model of an intelligent distribution network automation system, and inquiring acquired mu PMU measurement real-time data, SCADA measurement real-time data and mu PMU measurement historical data from the primary equipment model.
22) And calculating the error degree of the mu PMU measurement real-time data and the SCADA measurement real-time data, and evaluating the reasonability of the data error of the mu PMU measurement.
Wherein, P e Error degree P of real-time data measured by mu PMU and SCADA r 、S r Respectively measuring real-time data by using a mu PMU and real-time data by using an SCADA (supervisory control and data acquisition);
when P is present e If the measured data error is larger than the preset threshold A, the data error measured by the mu PMU is judged to be larger, namely the data error measured by the mu PMU is unreasonable, otherwise, the data error is reasonable.
23) And measuring the three-phase voltage phasor in the real-time data according to the mu PMU, calculating the maximum unbalance degree of the three-phase voltage, and evaluating the rationality of the three-phase voltage measured by the mu PMU.
Wherein, V e Is the maximum unbalance degree of three-phase voltage, V a 、V b 、V c Respectively three phase voltage value, V mg The three-phase voltage mean value is obtained;
when V is e If the value is greater than the preset threshold B, the mu P is judgedThe three-phase voltage measured by the MU is unreasonable, otherwise, the three-phase voltage is reasonable.
24) And measuring the three-phase current phasor in the real-time data according to the mu PMU, calculating the maximum unbalance degree of the three-phase current, and evaluating the rationality of the three-phase current measured by the mu PMU.
Wherein, I e Maximum unbalance of three-phase currents, I a 、I b 、I c Respectively, three phase current values, I mg The three-phase current mean value;
when I is e If the current is larger than the preset threshold C, the three-phase current measured by the mu PMU is judged to be unreasonable, otherwise, the three-phase current is reasonable.
25) And calculating the error degree of the real-time mu PMU measurement data and the historical mu PMU measurement data, and evaluating the rationality of the historical mu PMU measurement data.
Wherein, P e The error degree of the real-time data measured by the mu PMU and the historical data measured by the mu PMU, P r 、P h Mu PMU measurement real-time data and mu PMU measurement historical data are respectively.
When P is present e If the measured data is larger than the preset threshold D, the error between the measured real-time data of the mu PMU and the measured historical data of the mu PMU is judged to be larger, namely the measured historical data of the mu PMU is unreasonable, otherwise, the error is reasonable.
And 3, evaluating the reliability of each mu PMU measurement according to each mu PMU measurement availability evaluation result and each mu PMU measurement rationality evaluation result.
The reliability assessment of this step is that of a single mu PMU measurement, including real-time reliability assessment and long-term reliability assessment of the mu PMU measurement.
Real-time reliability assessment of μ PMU measurements: in response to the PMU measurement being available and reasonable, the PMU measurement is reliable;
μPMand (3) evaluating the long-term reliability of the U measurement: calculating long-term reliability of mu PMU measurements from the time dimension
Evaluating long-term reliability of the mu PMU measurement; wherein S t Measuring reliable duration for mu PMU, R t Total time was measured for μ PMU.
The long-term reliability is classified as excellent, good, poor, when S e When the evaluation criteria are greater than the excellent evaluation criteria, the evaluation is excellent, when the evaluation criteria are greater than the good evaluation criteria, the evaluation is good, and when the evaluation criteria are less than the poor evaluation criteria, the evaluation is poor.
And 4, evaluating the reliability of the plant mu PMU measurement and the reliability of the system mu PMU measurement according to the reliability evaluation result of each mu PMU measurement.
The reliability evaluation of the plant-site mu PMU measurement comprises real-time reliability evaluation and long-term reliability evaluation of the plant-site mu PMU measurement.
And (3) evaluating the real-time reliability of mu PMU measurement of the plant station: the plant-station mu PMU measurement is taken as an analysis object, and the reliability of the plant-station mu PMU measurement is calculated according to the reliable quantity of the plant-station mu PMU measurement
Evaluating real-time reliability evaluation of plant mu PMU measurement; where S p The plant mu PMU measures the reliable quantity, and the sigma S measures the total quantity of the plant mu PMU.
And (3) long-term reliability evaluation of plant mu PMU measurement: calculating long-term reliability of plant-site mu PMU measurement from time dimension by taking the plant-site mu PMU measurement as an analysis object
Evaluating the long-term reliability of the plant mu PMU measurement; wherein
For the plant mu PMU to measure the reliable duration,
measuring total time for plant mu PMU, N is plantInner mu PMU measurement quantity.
The real-time reliability evaluation and the long-term reliability evaluation of the plant mu PMU measurement are excellent, good and poor, and similar to the step 3, the evaluation can be carried out according to the threshold value of the reliability.
The reliability evaluation of the mu PMU measurement of the system comprises real-time reliability evaluation and long-term reliability evaluation of the mu PMU measurement of the system.
And (3) evaluating the real-time reliability of the mu PMU measurement of the system: taking the measurement of the system mu PMU as an analysis object, and calculating the measurement reliability of the system mu PMU according to the measurement reliability of the system mu PMU
Evaluating the real-time reliability of the mu PMU measurement of the evaluation system; wherein sigma S p For system PMU measurements of reliable quantities, sigma S is the total number of system PMU measurements.
Long-term reliability assessment of system μ PMU measurements: calculating long-term reliability of the mu PMU measurement from the time dimension by taking the mu PMU measurement as an analysis object
Evaluating the long-term reliability of the mu PMU measurement of the system; wherein
For the system PMU to measure the reliable duration,
the total time is measured for the mu PMU in the system, and N' is the measured quantity of the mu PMU in the system.
The real-time reliability assessment and long-term reliability assessment of the mu PMU measurement of the system are excellent, good and poor, and similar to the step 3, the real-time reliability assessment and the long-term reliability assessment are evaluated according to the threshold comparison of the reliability.
The method adopts a tree-shaped hierarchical structure, firstly evaluates the availability and the rationality of each mu PMU measurement, evaluates the reliability of a single mu PMU measurement based on the availability and the rationality evaluation result, and evaluates the reliability of the plant mu PMU measurement and the reliability of the system mu PMU measurement based on the reliability evaluation result of the single mu PMU measurement from the aspects of space dimension and time dimension, thereby realizing the comprehensive analysis and evaluation of the mu PMU measurement, strengthening the mu PMU measurement data management, practically mastering the operation condition of a distribution network wide area measurement system and further improving the operation level of a dispatching automation system.
A comprehensive analysis system for micro synchronous phasor measurement comprises,
an availability evaluation module: evaluating the availability of each mu PMU measurement according to the acquired mu PMU network link state and the mu PMU uploading message;
a rationality evaluation module: evaluating the rationality of each mu PMU measurement according to the obtained mu PMU measurement data and SCADA measurement data;
single reliability evaluation module: evaluating the reliability of each mu PMU measurement according to each mu PMU measurement availability evaluation result and each mu PMU measurement rationality evaluation result;
the plant station and system reliability evaluation module: and according to the reliability evaluation result of each mu PMU measurement, evaluating the reliability of the plant mu PMU measurement and the reliability of the system mu PMU measurement.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a synthetic analysis method of microsynchronous phasor measurement.
A computing device comprising one or more processors, one or more memories, and one or more programs stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for performing a synthetic analysis method of micro-synchrophasor measurement.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (8)
1. A comprehensive analysis method for micro synchronous phasor measurement is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
evaluating the availability of each mu PMU measurement according to the acquired mu PMU network link state and the mu PMU uploading message;
evaluating the rationality of each mu PMU measurement according to the obtained mu PMU measurement data and SCADA measurement data;
evaluating the reliability of each mu PMU measurement according to each mu PMU measurement availability evaluation result and each mu PMU measurement rationality evaluation result;
according to the reliability evaluation result of each mu PMU measurement, evaluating the reliability of the factory station mu PMU measurement and the reliability of the system mu PMU measurement;
and (3) evaluating the real-time reliability of the plant mu PMU measurement: according to the reliable quantity of the plant-site mu PMU measurement, calculating the reliability of the plant-site mu PMU measurement
Evaluating real-time reliability evaluation of plant mu PMU measurement; where S is p Measuring the reliable quantity of the plant mu PMU, wherein the sigma S is the total quantity of the plant mu PMU;
long-term reliability evaluation of mu PMU measurement of a plant: long term reliability as measured from a time dimension computing plant mu PMU
Evaluating the long-term reliability of the mu PMU measurement of the plant; wherein
For the plant mu PMU to measure the reliable duration,
measuring total time for a mu PMU of a plant station, wherein N is the measured quantity of the mu PMU in the plant station;
and (3) evaluating the real-time reliability of the mu PMU measurement of the system: calculating the measurement reliability of the mu PMU according to the measurement reliability of the mu PMU
Evaluating the real-time reliability of the mu PMU measurement of the evaluation system; wherein sigma S p Measuring the reliable quantity of the system mu PMU, wherein sigma S is the total quantity of the system mu PMU;
long-term reliability evaluation of system μ PMU measurements: long term reliability as measured from a time dimension calculation system mu PMU
Evaluating the long-term reliability of the mu PMU measurement of the system; wherein
In order for the system PMU to measure a reliable duration,
total time is measured for the mu PMU of the system, and N' is the measured quantity of the mu PMU in the system.
2. The integrated analysis method for synchronized microphase measurement according to claim 1, wherein: according to the obtained mu PMU network link state and mu PMU uploading message, evaluating the usability of each mu PMU measurement, the specific process is,
acquiring the network link state of the acquisition subsystem and the mu PMU, and evaluating the channel availability measured by the mu PMU;
and acquiring a mu PMU report in real time, analyzing fields in the report, and evaluating the data availability and the data time sequence availability measured by the mu PMU.
3. The integrated analysis method for synchronized microphase measurement according to claim 1, wherein: according to the obtained mu PMU measurement data and SCADA measurement data, the rationality of each mu PMU measurement is evaluated,
acquiring mu PMU measurement real-time data, SCADA measurement real-time data and mu PMU measurement historical data;
calculating the error degree of the mu PMU measurement real-time data and the SCADA measurement real-time data, and evaluating the rationality of the data error of the mu PMU measurement;
measuring three-phase voltage phasor in real-time data according to the mu PMU, calculating the maximum unbalance degree of the three-phase voltage, and evaluating the rationality of the three-phase voltage measured by the mu PMU;
measuring three-phase current phasor in real-time data according to the mu PMU, calculating the maximum unbalance degree of the three-phase current, and evaluating the rationality of the three-phase current measured by the mu PMU;
and calculating the error degree of the real-time mu PMU measurement data and the historical mu PMU measurement data, and evaluating the rationality of the historical mu PMU measurement data.
4. The method of claim 3, wherein the integrated analysis comprises: the error degree between the real-time data measured by mu PMU and the real-time data measured by SCADA is calculated by the following formula,
wherein, P e Error degree P of real-time data measured by mu PMU and SCADA r 、S r Respectively measuring real-time data by using a mu PMU and real-time data by using an SCADA (supervisory control and data acquisition);
the maximum unbalance degree of the three-phase voltage is calculated by the formula,
wherein, V e Is the maximum unbalance degree of three-phase voltage, V a 、V b 、V c Are three-phase voltage values, V mg The mean value of the three-phase voltage is obtained;
the maximum unbalance of the three-phase current is calculated by the formula,
wherein, I e Maximum unbalance of three-phase current, I a 、I b 、I c Respectively, three phase current values, I mg The three-phase current mean value;
the error between the mu PMU measurement real-time data and the mu PMU measurement historical data is calculated by the following formula,
wherein, P e The error degree of the real-time data measured by the mu PMU and the historical data measured by the mu PMU, P r 、P h Mu PMU measurement real-time data and mu PMU measurement historical data are respectively.
5. The integrated analysis method for synchronized microphase measurement according to claim 1, wherein: the reliability evaluation of the mu PMU measurement comprises the real-time reliability evaluation and the long-term reliability evaluation of the mu PMU measurement;
the reliability evaluation of the plant mu PMU measurement comprises the real-time reliability evaluation and the long-term reliability evaluation of the plant mu PMU measurement;
the reliability evaluation of the mu PMU measurement of the system comprises real-time reliability evaluation and long-term reliability evaluation of the mu PMU measurement of the system.
6. The integrated analysis method for synchronized microphase measurement according to claim 1, wherein:
real-time reliability assessment of μ PMU measurements: responsive to the PMU measurement being available and reasonable, the PMU measurement is reliable;
evaluation of long-term reliability of μ PMU measurements: calculating long-term reliability of mu PMU measurements from the time dimension
Evaluating long-term reliability of the mu PMU measurement; wherein S t Measuring reliable duration for mu PMU, R t Total time was measured for μ PMU.
7. A comprehensive analysis system for micro synchronous phasor measurement is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
an availability evaluation module: evaluating the availability of each mu PMU measurement according to the acquired mu PMU network link state and the mu PMU uploading message;
a rationality evaluation module: evaluating the rationality of each mu PMU measurement according to the obtained mu PMU measurement data and SCADA measurement data;
single reliability evaluation module: evaluating the reliability of each mu PMU measurement according to each mu PMU measurement availability evaluation result and each mu PMU measurement rationality evaluation result;
the plant station and system reliability evaluation module: according to the reliability evaluation result of each mu PMU measurement, evaluating the reliability of the factory station mu PMU measurement and the reliability of the system mu PMU measurement;
and (3) evaluating the real-time reliability of mu PMU measurement of the plant station: according to the measured reliable quantity of the factory-station mu PMU, calculating the measured reliability of the factory-station mu PMU
Evaluating the real-time reliability evaluation of the mu PMU measurement of the plant; where S is p Measuring the reliable quantity of the plant mu PMU, wherein the sigma S is the total quantity of the plant mu PMU;
and (3) long-term reliability evaluation of plant mu PMU measurement: long term reliability measured from a time dimension computational plant mu PMU
Evaluating the long-term reliability of the mu PMU measurement of the plant; wherein
For the plant mu PMU to measure the reliable duration,
measuring total time for a mu PMU of a plant station, wherein N is the measured quantity of the mu PMU in the plant station;
system μ PAnd (3) evaluating the real-time reliability of MU measurement: calculating the measurement reliability of the mu PMU according to the measurement reliability of the mu PMU
Evaluating the real-time reliability of the mu PMU measurement of the evaluation system; wherein sigma S p Measuring the reliable quantity of the system mu PMU, wherein sigma S is the total quantity of the system mu PMU;
long-term reliability evaluation of system μ PMU measurements: long term reliability as measured from a time dimension calculation system mu PMU
Evaluating the long-term reliability of the mu PMU measurement of the system; wherein
For the system PMU to measure the reliable duration,
total time is measured for the mu PMU of the system, and N' is the measured quantity of the mu PMU in the system.
8. A computer readable storage medium storing one or more programs, wherein: the one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods of claims 1-6.
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