CN106356994B - A kind of grid stability method of discrimination based on power grid PMU big datas - Google Patents
A kind of grid stability method of discrimination based on power grid PMU big datas Download PDFInfo
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Abstract
The present invention relates to a kind of grid stability method of discrimination based on power grid PMU big datas, belong to two fields of power grid big data analysis and power grid stability analysis.A kind of grid stability method of discrimination based on power grid PMU big datas, includes the following steps：1) it is modeled using random matrix according to power grid PMU data；2) power grid PMU historical datas are analyzed, establishes the distribution bound figure of PMU historical datas；3) power grid PMU real time datas are analyzed, establishes the distribution figure of characterized values of PMU real time datas；4) the distribution bound figure of the distribution figure of characterized values of PMU real time datas and PMU historical datas is shown and is compared on same interface, to judge whether power grid is stablized.The present invention recognizes the stabilization of power grid in conjunction with the demand of power grid by the statistical property of PMU historical datas, PMU real time datas etc., and can be shown by man-machine interface, and power grid operation management person is facilitated to use.
Description
Technical field
The present invention relates to two fields of power grid big data analysis and power grid stability analysis, more particularly to a kind of to be based on power grid
The grid stability method of discrimination of PMU big datas.
Background technology
The development of intelligent grid is maked rapid progress, and corresponding intelligent grid new technology also continues to bring out.The topology knot of power grid
Structure also more sophisticated, it is necessary to meet following condition for the stable operation of intelligent grid：The foundational system and Related Supporting Technologies of power grid,
Unpredictable external disturbance can be resisted enough；Power grid needs predict the failure that may occur in time, and assess the failure
The influence that power grid may be generated, so that power grid can be with quick discrimination failure, isolated fault；The compatibility of power grid will be got well, energy
It adapts to the accesses of charge-discharge facilities such as a large amount of distributed micro-capacitance sensors and withdraws；The O＆M cost of intelligent grid is controllable, power grid
Operation state visualization wants high, in order to provide corresponding control implementing measure and counte-rplan.
In order to be better understood from and analyze power grid, a large amount of PMU are disposed in power grid, more more, approximate same to obtain
The power grid O＆M information (more than the 20 kinds of data such as voltage, electric current, power and phase angle in real-time grid) of step.PMU is wide in power grid
General layout is to preferably recognize power grid, the analytic process of simplified electrical network.Huge electric network state data are to intelligent grid
Analysis brings possibility, meanwhile, also Challenge.Such as：How a large amount of PMU data utilizes, and how to combine actual
Electric network data analyzes corresponding practical problem；Any information can be obtained from a large amount of PMU data；From a large amount of electric network datas
Whether the information of acquisition can visualize, and power grid operation management person is facilitated to use.
The huge PMU data analysis of electric system can be seen as a big data system.Power grid big data is to divide in recent years
One hot spot of analysis.Big data has obtained the highest attention and research of global numerous experts and scholars as a gated data science.It visits
A kind of intelligent grid method for analyzing stability based on big data method is sought, being one has learning value of crucial importance and reality
The research point of engineering application value.Huge PMU data has given power grid big data analysis to bring data source.It is seemed from this part
The information that needs are obtained in abundant resource is the key point and difficult point of power grid big data analysis, i.e., from magnanimity, various, real
When, power grid state information that suitable power grid Analysis of Policy Making is excavated in true power grid big data analysis it is most important.
Invention content
It is an object of the invention in view of the above-mentioned problems, providing a kind of grid stability based on power grid PMU big datas
Method of discrimination carries out stablizing for power grid in conjunction with the demand of power grid by the statistical property of PMU historical datas, real time data etc.
Cognition.
The object of the present invention is achieved like this：
A kind of grid stability method of discrimination based on power grid PMU big datas, which is characterized in that this method includes following step
Suddenly：
1) modeled using random matrix according to power grid PMU data, including it is following step by step：
1.1) power grid is divided into four kinds according to the operating status of power grid, respectively：Topological structure of electric is constant, power grid is opened up
Flutter structure change, power grid power supply source is constant and the power supply source of power grid has increase and decrease；
1.2) observe and record the PMU data of the power grid nodes at different levels of four kinds of operating statuses；
1.3) from electric network swim equation, the pass between the observation of PMU data and operation of power networks state change is established
System, the i.e. random matrix of power grid PMU data indicate；
2) power grid PMU historical datas are analyzed, including it is following step by step：
2.1) the PMU historical datas of record are fifty-fifty divided into multiple time hop counts evidences；
2.2) the PMU historical datas of record are normalized；
2.3) then the characteristic value distribution function for calculating PMU historical datas obtains the ginseng of the distribution bound of the function
Number finally obtains the distribution of PMU historical datas or more bound function, and establishes the distribution bound figure of PMU historical datas；
3) power grid PMU real time datas are analyzed, including it is following step by step：
3.1) PMU real time datas are recorded；
3.2) the characteristic value distribution function of PMU real time datas is calculated, and establishes the feature Distribution value of PMU real time datas
Figure；
4) by the distribution bound figure of the distribution figure of characterized values of PMU real time datas and PMU historical datas on same interface
It is shown and compares；If the characteristic value of PMU real time datas is fallen between the distribution bound of PMU historical datas, power grid is judged
For stable state；Otherwise, then judge power grid for abnormality.
Further, in the step 4), the distribution of the distribution figure of characterized values and PMU historical datas of the PMU real time datas
Bound figure is shown by man-machine interface.
Beneficial effects of the present invention are：This method is the data (number such as voltage, electric current, power and phase angle using PMU acquisitions
According to) carry out electric network state study and differentiation, therefore, topological structure of this method independent of power grid is based entirely on PMU numbers
According to higher-dimension statistical property, thus applied widely, steady degree is high and safety is reliable.
Description of the drawings
Fig. 1 is the flow chart of the present invention.
Fig. 2 is the state diagram that operation of power networks is stablized when being modeled using covariance matrix.
Fig. 3 is the state diagram of operation of power networks exception when being modeled using covariance matrix.
Fig. 4 is the state diagram that operation of power networks is stablized when being modeled using Eugene Wigner matrix.
Fig. 5 is the state diagram of operation of power networks exception when being modeled using Eugene Wigner matrix.
Specific implementation mode
With reference to specific embodiments and the drawings, the present invention is further explained.
As shown in Figure 1, a kind of grid stability method of discrimination based on power grid PMU big datas, includes the following steps：
1) it is modeled using random matrix according to power grid PMU data, converts power grid stability analysis to random matrix
Problem analysis, including it is following step by step：
1.1) power grid is divided into four kinds according to the operating status of power grid, respectively：Topological structure of electric is constant, power grid is opened up
Flutter structure change, power grid power supply source is constant and the power supply source of power grid has increase and decrease；
1.2) observe and record the PMU data of the power grid nodes at different levels of four kinds of operating statuses；
1.3) from electric network swim equation, the pass between the observation of PMU data and operation of power networks state change is established
System, the i.e. random matrix of power grid PMU data indicate；
2) power grid PMU historical datas are analyzed, including it is following step by step：
2.1) the PMU historical datas of record are fifty-fifty divided into multiple time hop counts evidences；
2.2) the PMU historical datas of record are normalized, i.e., data is subtracted to the statistics of whole historical data
Mean value, then divided by whole historical data variance；
2.3) then the characteristic value distribution function for calculating PMU historical datas obtains the ginseng of the distribution bound of the function
Number finally obtains the distribution of PMU historical datas or more bound function, and establishes the distribution bound figure of PMU historical datas；
3) power grid PMU real time datas are analyzed, including it is following step by step：
3.1) PMU real time datas are recorded；
3.2) the characteristic value distribution function of PMU real time datas is calculated, and establishes the feature Distribution value of PMU real time datas
Figure；
4) by the distribution bound figure of the distribution figure of characterized values of PMU real time datas and PMU historical datas on same interface
It is shown and compares, and observed and judged for convenience of power grid operation management person, the characteristic value of PMU real time datas here
Distribution map and the distribution bound figure of PMU historical datas can be shown by man-machine interface；If the feature of PMU real time datas
Value is fallen between the distribution bound of PMU historical datas, judges power grid for stable state, as shown in Figure 2 and Figure 4；Otherwise, then sentence
Power-off net is abnormality, as shown in Figure 3 and Figure 5.
Claims (2)
1. a kind of grid stability method of discrimination based on power grid PMU big datas, which is characterized in that this method includes following step
Suddenly：
1) modeled using random matrix according to power grid PMU data, including it is following step by step：
1.1) power grid is divided into four kinds according to the operating status of power grid, respectively：Topological structure of electric is constant, power network topology knot
Structure changes, the power supply source of power grid is constant and the power supply source of power grid has increase and decrease；
1.2) observe and record the PMU data of the power grid nodes at different levels of four kinds of operating statuses；
1.3) from electric network swim equation, the relationship between the observation of PMU data and operation of power networks state change is established, i.e.,
The random matrix of power grid PMU data indicates；
2) power grid PMU historical datas are analyzed, including it is following step by step：
2.1) the PMU historical datas of record are fifty-fifty divided into multiple time hop counts evidences；
2.2) the PMU historical datas of record are normalized；
2.3) then the characteristic value distribution function for calculating PMU historical datas obtains the parameter of the distribution bound of the function, most
The distribution of PMU historical datas or more bound function is obtained eventually, and establishes the distribution bound figure of PMU historical datas；
3) power grid PMU real time datas are analyzed, including it is following step by step：
3.1) PMU real time datas are recorded；
3.2) the characteristic value distribution function of PMU real time datas is calculated, and establishes the distribution figure of characterized values of PMU real time datas；
4) the distribution bound figure of the distribution figure of characterized values of PMU real time datas and PMU historical datas is carried out on same interface
It shows and compares；If the characteristic value of PMU real time datas is fallen between the distribution bound of PMU historical datas, judge that power grid is steady
Determine state；Otherwise, then judge power grid for abnormality.
2. a kind of grid stability method of discrimination based on power grid PMU big datas according to claim 1, feature exist
In in the step 4), the distribution figure of characterized values of the PMU real time datas and the distribution bound figure of PMU historical datas pass through
Man-machine interface is shown.
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| CN107132454A (en) * | 2017-05-04 | 2017-09-05 | 国网上海市电力公司 | The abnormal quick determination method of power network based on random matrix spectral radius method |
| CN108053110B (en) * | 2017-12-11 | 2021-12-28 | 辽宁欣科电气股份有限公司 | PMU data-based transformer state online diagnosis method |
| CN109193650B (en) * | 2018-10-26 | 2020-08-18 | 湖北航天技术研究院总体设计所 | Power grid weak point evaluation method based on high-dimensional random matrix theory |
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