CN108647626B - Method and device for determining incidence relation between power quality event and event cause - Google Patents
Method and device for determining incidence relation between power quality event and event cause Download PDFInfo
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Abstract
The invention relates to a method and a device for determining an incidence relation between an electric energy quality event and an event cause, computer equipment and a storage medium, and belongs to the technical field of power grids. The method comprises the following steps: acquiring a plurality of power quality events, and integrating the power quality events corresponding to the same disturbance source into one disturbance event; determining a matching relation between the disturbance event and a preset event cause; discretizing the disturbance event, and extracting event characteristics from the disturbance event; and determining the incidence relation between the event characteristics and the event cause according to the matching relation. According to the technical scheme, the problem that the determination of the incidence relation between the power quality event and the cause is not accurate enough is solved, and the incidence relation between the power quality event and the event cause can be determined accurately.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to a method and a device for determining an incidence relation between a power quality event and an event cause, computer equipment and a storage medium.
Background
The electric energy quality monitoring system (PQMS) has basically realized the recording and analysis of transient state and steady state data in the transformer substation with the voltage level of 110kV and above of the urban power grid. At present, most of the deepened application of the power quality monitoring data focuses on the aspects of disturbance type identification, fault source positioning, load online monitoring, power quality comprehensive evaluation and the like, but research for determining the incidence relation between a power quality event and an event reason is less. In addition, in the process of implementing the invention, the inventor also finds that at least the following problems exist in the prior art: the correlation between the power quality event and the cause determined by the conventional method is not accurate enough.
Disclosure of Invention
Based on the method and the device, the computer equipment and the storage medium for determining the incidence relation between the power quality event and the event cause are provided, and the incidence relation between the power quality event and the event cause can be accurately determined.
The content of the embodiment of the invention is as follows:
a method for determining an incidence relation between an electric energy quality event and an event cause comprises the following steps: acquiring a plurality of power quality events, and integrating the power quality events corresponding to the same disturbance source into one disturbance event; determining a matching relation between the disturbance event and a preset event cause; discretizing the disturbance event, and extracting event characteristics from the disturbance event; and determining the incidence relation between the event characteristics and the event cause according to the matching relation.
In one embodiment, the step of integrating the power quality events corresponding to the same disturbance source into one disturbance event includes: determining spatiotemporal data of the power quality event; performing cluster analysis on the power quality events according to the time-space data, and judging that the power quality events corresponding to the same cluster type belong to the same disturbance source; and integrating the electric energy quality events corresponding to the same disturbance source into one disturbance event.
In one embodiment, before the step of determining that the power quality events corresponding to the same cluster category belong to the same disturbance source, the method further includes: and when the distance between the centroid of each clustering class and the corresponding spatio-temporal data is less than or equal to a preset threshold value, determining that clustering is finished.
In one embodiment, the step of determining a matching relationship between the disturbance event and a preset event cause includes: determining spatiotemporal data of the perturbation event; and determining the matching relation between the disturbance event and a lightning stroke line, a transformer fault, a breaker action and/or a protection equipment action according to the space-time data.
In one embodiment, the power quality event comprises a transient event; the step of discretizing the disturbance event and extracting event features from the disturbance event comprises the following steps: and discretizing the disturbance event, and extracting the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type in the disturbance event.
In one embodiment, the step of determining the association relationship between the event feature and the event cause according to the matching relationship includes: and determining the association relationship between the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type and the event cause according to the matching relationship and a strong association rule algorithm.
In one embodiment, after the step of determining the association relationship between the event feature and the event cause according to the matching relationship, the method further includes: acquiring a power quality event to be analyzed, and extracting event characteristics of the power quality event to be analyzed; and inquiring the incidence relation according to the event characteristics to obtain the event cause of the power quality event to be analyzed.
Correspondingly, an embodiment of the present invention provides an apparatus for determining an association relationship between an event of power quality and an event cause, including: the event integration module is used for acquiring a plurality of power quality events and integrating the power quality events corresponding to the same disturbance source into one disturbance event; the matching relation determining module is used for determining the matching relation between the disturbance event and a preset event cause; the characteristic extraction module is used for carrying out discretization processing on the disturbance event and extracting event characteristics from the disturbance event; and the incidence relation determining module is used for determining the incidence relation between the event characteristics and the event cause according to the matching relation.
The method and the device for determining the incidence relation between the power quality events and the event causes acquire a plurality of power quality events, integrate the power quality events corresponding to the same disturbance source into one disturbance event, and integrate data to simplify subsequent calculation; determining a matching relation between the disturbance event and a preset event cause; discretizing the disturbance event, and extracting event characteristics from the disturbance event; and determining the incidence relation between the event characteristics and the event cause according to the matching relation. The relationship between the event characteristics and the event cause can be accurately determined through the integrated discrete processing of the power quality event.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: acquiring a plurality of power quality events, and integrating the power quality events corresponding to the same disturbance source into one disturbance event; determining a matching relation between the disturbance event and a preset event cause; discretizing the disturbance event, and extracting event characteristics from the disturbance event; and determining the incidence relation between the event characteristics and the event cause according to the matching relation.
The computer equipment can accurately determine the relationship between the event characteristics and the event cause through the integrated discrete processing of the power quality events.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of: acquiring a plurality of power quality events, and integrating the power quality events corresponding to the same disturbance source into one disturbance event; determining a matching relation between the disturbance event and a preset event cause; discretizing the disturbance event, and extracting event characteristics from the disturbance event; and determining the incidence relation between the event characteristics and the event cause according to the matching relation.
The computer readable storage medium can accurately determine the relationship between the event characteristics and the event cause through the integrated discrete processing of the power quality event.
Drawings
FIG. 1 is a diagram of an application environment of a method for determining an association between an event and an event cause according to an embodiment;
FIG. 2 is a flow chart illustrating a method for determining an association between an event and an event cause according to an embodiment;
FIG. 3 is a voltage waveform in one embodiment;
FIG. 4 is a voltage waveform in another embodiment;
FIG. 5 is a voltage waveform in yet another embodiment;
FIG. 6 is a flowchart illustrating a method for determining an association relationship between an event and a power quality event cause according to another embodiment;
fig. 7 is a block diagram of an apparatus for determining an association relationship between a power quality event and an event cause according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The method for determining the incidence relation between the power quality event and the event cause can be applied to the computer equipment shown in fig. 1. The computer device may be a server, and its internal structure diagram may be as shown in fig. 1. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data such as power quality events, disturbance events, event characteristics and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of correlation determination of power quality events to event causes.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The embodiment of the invention provides a method and a device for determining an incidence relation between an electric energy quality event and an event cause, computer equipment and a storage medium. The following are detailed below.
In one embodiment, as shown in fig. 2, there is provided a method for determining a correlation between a power quality event and an event cause, including the steps of:
s201, obtaining a plurality of power quality events, and integrating the power quality events corresponding to the same disturbance source into one disturbance event.
Wherein the power quality events include transient events and steady state events. For example, a transient event: voltage temporarily rises, voltage temporarily falls and voltage is interrupted; steady state events: the frequency upper limit, the frequency lower limit, the voltage upper limit, the voltage lower limit, the voltage and current harmonic wave, the voltage and current total harmonic wave distortion rate and the unbalance upper limit. Of course, other power quality events may also be included.
It should be noted that the power quality event may refer to events in multiple regions and multiple time periods, and obtaining as many power quality events as possible can obtain a more comprehensive association relationship between the event characteristics and the event causes. The embodiment of the invention does not limit the mode of acquiring the power quality event.
As shown in fig. 3, the voltage waveform is a voltage waveform that causes voltage interruption due to a switch closing failure caused by the repeated operation of the transformer switch. The event of the voltage interruption is a power quality event.
Disturbance refers to the disturbance, destruction, etc. of the power system, and disturbance source refers to the source of disturbance to the power system, and the disturbance source includes, but is not limited to, line fault tripping, transformer protection switching action, etc. in a certain area.
The number of power quality events acquired may be large and include data from numerous sources of disturbances. In the step, the electric energy quality events corresponding to the same disturbance source are integrated into one disturbance event which is used as an event record.
The embodiment of the invention does not limit the specific integration mode of the power quality event.
S202, determining a matching relation between the disturbance event and a preset event cause.
The event cause refers to the cause of the power quality event, and can be determined according to data such as breaker action data, protection equipment action data, alarm data, field line inspection data and the like. Therefore, the event causes can be lightning strike lines, transformer faults, breaker actions, protection equipment actions and the like, and can also be other causes which can cause electric energy quality events.
In one embodiment, the determination of the event cause of a disturbance event may be made manually, by reference to a pre-established database, or by an algorithm. Regardless of the manner in which the event causes are determined, the event causes should be of high accuracy.
The step determines a matching relationship between the disturbance event and the event cause, and the matching relationship may be determined manually or according to a specific algorithm. The determined matching relation enables each disturbance event to have an event cause corresponding to the disturbance event, namely, each disturbance event can find the reason of the disturbance event.
S203, discretizing the disturbance event, and extracting event features from the disturbance event.
In one embodiment, discretizing the perturbation event may be splitting data corresponding to the perturbation event into a plurality of constituent factors, such as: extracting information such as occurrence time, duration, location, corresponding equipment, occurrence frequency, voltage amplitude and the like of a certain disturbance event from the disturbance event, and selecting more important and representative features as event features of the disturbance event.
The event characteristics include, but are not limited to, voltage amplitude, duration, event location, voltage class, and device type. The event characteristics can effectively represent corresponding disturbance events; meanwhile, the method has universality for other power quality events, because other power quality events also comprise information such as voltage amplitude, duration and the like, when the event characteristics of certain two power quality events are consistent, the two power quality events can be considered to be caused by the same event cause.
And S204, determining the incidence relation between the event characteristics and the event cause according to the matching relation.
The incidence relation refers to one-to-one or one-to-many relation between the event characteristics and the event causes, and each event characteristic has the corresponding event cause. In addition, the incidence relation between the event characteristics and the event causes can also refer to the incidence relation between the event characteristics and the corresponding equipment, so that the corresponding equipment can be positioned according to the incidence relation so as to debug or maintain the equipment.
Since the event features are extracted from the disturbance events, and the matching relationship between the disturbance events and the event causes has already been determined in step S202, the association relationship between the event features and the event causes can be simply and directly determined according to the matching relationship.
In the embodiment, the power quality events are integrated into different disturbance events, the disturbance events are subjected to discrete processing, the event characteristics are extracted, and the relationship between the event characteristics and the event cause can be accurately determined in such a way. In addition, the event characteristics are representative characteristics of each power quality event, and the established association relationship between the event characteristics and the event causes can be popularized to all the power quality events as a universal relationship.
In one embodiment, the step of integrating the power quality events corresponding to the same disturbance source into one disturbance event includes: determining spatiotemporal data of the power quality event; performing cluster analysis on the power quality events according to the time-space data, and judging that the power quality events corresponding to the same cluster type belong to the same disturbance source; and integrating the electric energy quality events corresponding to the same disturbance source into one disturbance event.
Where each power quality event may be represented by a point in a two-dimensional space of time-space, spatio-temporal data thus refers to temporal information as well as spatial information (i.e., location information), etc.
Therefore, the time-space data can indicate the time and place of occurrence of the power quality event, and after the clustering operation, the power quality events occurring in the same time period or the same place (i.e., the power quality events of the same disturbance source) can be aggregated into a clustering category. Based on the method, the cluster analysis of the power quality events can be realized, namely, the records of the power quality events are divided into a plurality of record sets caused by the same disturbance source, and each record set is used as a disturbance event.
In one embodiment, before clustering the spatio-temporal data, the time and spatial information of the power quality event is converted into a numerical value (i.e., the time and spatial information are processed to be integrated into one numerical value), and the numerical value can represent the corresponding power quality event.
In one embodiment, the clustering analysis of the spatio-temporal data may employ methods of lineage clustering (hierarchical clustering), fast clustering (K-means), Two-stage clustering (Two-Step), and the like.
In the embodiment, the power quality events corresponding to the same disturbance source are integrated into one disturbance event, so that the formation mechanism of the power quality events is conveniently analyzed, and the development and evolution processes of the corresponding events are explained.
In an embodiment, before the step of determining that the power quality events corresponding to the same cluster category belong to the same disturbance source, the method further includes: and when the distance between the centroid of each clustering class and the corresponding spatio-temporal data is less than or equal to a preset threshold value, determining that clustering is finished.
In one embodiment, recording time and recording location information of the transient event is extracted. In the process of carrying out K-means clustering on time and space data, calculating the distance between each time-space data and the corresponding centroid, and when the distance is smaller than a set threshold value, judging that the power quality event corresponding to the centroid is caused by the same disturbance source.
In one embodiment, the distance between the spatiotemporal data and the centroid may refer to the Euclidean distance. The preset threshold is not limited in this embodiment.
The embodiment realizes the process of clustering the time-space data, judges whether clustering is finished or not by comparing the distances, can quickly determine the clustering result, and improves the efficiency of the incidence relation determining process.
In one embodiment, the step of determining a matching relationship between the disturbance event and a preset event cause includes: determining spatiotemporal data of the perturbation event; and determining the matching relation between the disturbance event and a lightning stroke line, a transformer fault, a breaker action and/or a protection equipment action according to the space-time data.
In one embodiment, the cause of the event, such as lightning strike on the line, transformer fault, breaker action, protection device action, etc., is determined from the data, such as breaker action data, protection device action data, alarm data, field line inspection data, etc. The lightning stroke line refers to a line affected by lightning stroke, and the circuit can cause tripping of a breaker after the line is struck by lightning, so that voltage interruption is caused; the transformer fault can refer to cooler fault, oil flow or oil pump fault and the like, and the fault can cause voltage instability, and the influence range is small but the influence degree is serious; breaker action may refer to the opening and closing of the breaker; the action of the protection device can refer to actions of resetting, feedback, power failure and the like of the power device.
In one embodiment, the process of determining the matching relationship between the perturbation event and the event cause may be: by utilizing a rule matching method in the data integration technology, each disturbance event is taken as an object, the occurrence time and the occurrence position of the disturbance event are taken as matching keys, the similarity of the disturbance event and the action event (breaker action data, protection equipment action data, alarm data and field line inspection data) is respectively calculated by utilizing a matching device, and the similarity is sequentially matched with the corresponding event cause, so that the integration of multi-source data is realized.
In one embodiment, the matching relationship between the perturbation event and the event cause is as follows: establishing A Power supply office Generation of Voltage interruption
The matching relation between lightning lines enables a user to quickly determine event causes matched with the power supply bureau A when knowing that the power supply bureau A has voltage interruption: the line is struck by lightning.
The matching relation determined by the embodiment is comprehensive, and the incidence relation between the subsequently determined event characteristics and the event cause can be simplified.
In one embodiment, the power quality event comprises a transient event; the step of discretizing the disturbance event and extracting event features from the disturbance event comprises the following steps: and discretizing the disturbance event, and extracting the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type in the disturbance event.
In one embodiment, a matching relationship database may be established according to a matching relationship between the disturbance event and the event cause, or a corresponding relationship database may be established according to a corresponding relationship between the disturbance event and the event feature. When the event characteristics of the disturbance event need to be determined, the corresponding event characteristics can be simply known by querying the two databases.
In one embodiment, as illustrated in S201, disturbance sources typically cause nearby substations to monitor transient events, and different types of disturbance sources may cause different types of transient events. The transient events are now exemplified as follows (the specific voltage waveforms are shown in fig. 3):
(1) a, a power supply station 110kV certain transformer substation, a transformer switch acts, and time is recorded: 2018/1/2210:30: 57;
(2) a, a power supply station 110kV certain transformer substation, a transformer switch acts, and time is recorded: 2018/1/2210:30: 58;
(3) a, a power supply station 110kV certain transformer substation, a transformer switch acts, and time is recorded: 2018/1/2210:31:05.
Disturbance sources of the transient events all occur in the power supply office A, and the transient events are integrated into one disturbance event through cluster analysis: 2018/01/2210: 30: 57-2018/01/2210: 31:05, and the switch of a 110kV transformer of a certain substation of the A power supply station repeatedly acts, and finally the voltage is interrupted due to the failure of switch closing.
Since the disturbance event is obtained by integrating the power quality events, the event feature is extracted from the disturbance event, that is, the event feature is extracted indirectly from the power quality event. The event features extracted from the above-described perturbation events may be 110kV voltage, voltage interruption, short duration, small amplitude, etc.
The method and the device extract event characteristics from the disturbance events, and the event characteristics can represent corresponding disturbance events and have certain universality, so that the subsequent determination of event causes of the power quality events to be analyzed is facilitated.
In one embodiment, the step of determining the association relationship between the event feature and the event cause according to the matching relationship includes: and determining the association relationship between the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type and the event cause according to the matching relationship and a strong association rule algorithm.
The strong association rule algorithm is an important algorithm in data mining. The strong association rule algorithm belongs to single-dimensional, single-layer and Boolean association rules in classification, and a typical algorithm is an Apriori algorithm.
The association relationship between the event feature and the event cause may be as follows:
1) FIG. 4 is a voltage waveform of a transient event, as shown in FIG. 4, the voltage amplitudes of the A phase/B phase/C phase are all decreased to some extent within the range of the sampling number 600-100, but the duration is not long. Thus, the event features extracted therefrom are: { voltage sag }, { short duration }, { small amplitude }, and { reclosing device }, the event cause of the transient event being a lightning strike on the line. Therefore, the event characteristics are associated with the lightning stroke line;
2) fig. 5 is a voltage waveform of another transient event, as shown in fig. 5, in the range of the sampling number 600-. Thus, the event features extracted therefrom are: {110kV }, { voltage ramp }, { short duration }, and { small amplitude }, the event cause of the transient event is a transformer backup protection action. Therefore, the event characteristics are associated with the transformer backup protection action.
The embodiment determines the incidence relation between the event characteristics and the event causes, and the incidence relation can be used as a reference for guiding the cause analysis of the future power quality events.
In one embodiment, after the step of determining the association relationship between the event feature and the event cause according to the matching relationship, the method further includes: acquiring a power quality event to be analyzed, and extracting event characteristics of the power quality event to be analyzed; and inquiring the incidence relation according to the event characteristics to obtain the event cause of the power quality event to be analyzed.
In one embodiment, after determining the association relationship between the event feature and the event cause, an association relationship database may be constructed according to the association relationship, and when a certain power quality event to be analyzed needs to be analyzed, the event cause and the corresponding action device type of the power quality event may be obtained by querying the association relationship database.
Based on the description in the first two embodiments, the event characteristics and the event cause (transformer fault) are associated, so when the event characteristics of a certain power quality event to be analyzed are one or more of 110kV voltage, voltage interruption, short duration and small amplitude, it can be determined that the event causes are transformer faults, and the corresponding action device type is a transformer.
The embodiment can simply and conveniently determine the event cause of the power quality event to be analyzed through the established incidence relation between the event characteristics and the event causes. The occurrence reasons of the faults or abnormal events are difficult to determine only by using the substations to record the power quality data, the embodiment can determine the event cause of the power quality event of the substation by combining the incidence relations summarized by the substations, the determined event cause is comprehensive and accurate, and the determination of the source position of the power quality event and the adoption of necessary treatment measures are facilitated.
In one embodiment, as shown in fig. 6, there is provided a method for determining a time cause of a power quality event, comprising the steps of:
s601, acquiring a plurality of power quality events.
And S602, determining the spatiotemporal data of the power quality event.
And S603, performing cluster analysis on the power quality event according to the spatio-temporal data.
S604, when the distance between the centroid of each clustering class and the corresponding spatio-temporal data is smaller than or equal to a preset threshold value, determining that clustering is finished.
And S605, judging that the electric energy quality events corresponding to the same cluster type belong to the same disturbance source.
And S606, integrating the electric energy quality events corresponding to the same disturbance source into a disturbance event.
S607, determining the matching relation between the disturbance event and the event cause according to the time-space data of the power quality event.
S608, discretizing the disturbance event, and extracting the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type in the disturbance event.
And S609, determining the association relationship among the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type and the event cause according to the matching relationship and a strong association rule algorithm.
S610, obtaining an electric energy quality event to be analyzed, and extracting event characteristics of the electric energy quality event to be analyzed.
S611, inquiring the incidence relation according to the event characteristics to obtain the event cause of the power quality event to be analyzed.
In the embodiment, the power quality events are integrated into different disturbance events, the disturbance events are subjected to discrete processing, the event characteristics are extracted, and the relationship between the event characteristics and the event cause can be accurately determined in such a way.
It should be noted that, for the sake of simplicity, the foregoing method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present invention is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present invention.
Based on the same idea as the method for determining the incidence relation between the power quality event and the event cause in the above embodiment, the present invention further provides a device for determining the incidence relation between the power quality event and the event cause, which can be used to execute the method for determining the incidence relation between the power quality event and the event cause. For convenience of explanation, the structure diagram of the embodiment of the apparatus for determining the correlation between the power quality event and the event cause only shows a part related to the embodiment of the present invention, and those skilled in the art will understand that the illustrated structure does not constitute a limitation to the apparatus, and may include more or less components than those illustrated, or combine some components, or arrange different components.
As shown in fig. 7, the apparatus for determining an association relationship between an event and an event cause of power quality includes an event integration module 701, a matching relationship determination module 702, a feature extraction module 703 and an association relationship determination module 704, which are described in detail as follows:
the event integration module 701 is configured to obtain a plurality of power quality events, and integrate the power quality events corresponding to the same disturbance source into one disturbance event.
A matching relationship determining module 702, configured to determine a matching relationship between the disturbance event and a preset event cause.
The feature extraction module 703 is configured to perform discretization on the disturbance event, and extract event features from the disturbance event.
And an association relation determining module 704, configured to determine an association relation between the event feature and the event cause according to the matching relation.
In the embodiment, the power quality events are integrated into different disturbance events, the disturbance events are subjected to discrete processing, the event characteristics are extracted, and the relationship between the event characteristics and the event cause can be accurately determined in such a way.
In one embodiment, the event integration module 701 includes: a data determination submodule for determining spatiotemporal data of the power quality event; the event clustering submodule is used for carrying out clustering analysis on the electric energy quality events according to the time-space data and judging that the electric energy quality events corresponding to the same clustering class belong to the same disturbance source; and the event integration submodule is used for integrating the electric energy quality events corresponding to the same disturbance source into one disturbance event.
In one embodiment, further comprising: and the clustering module is used for determining that clustering is finished when the distance between the centroid of each clustering class and the corresponding spatio-temporal data is less than or equal to a preset threshold value.
In one embodiment, the matching relationship determination module 702 is further configured to determine spatiotemporal data of the perturbation event; and determining the matching relation between the disturbance event and a lightning stroke line, a transformer fault, a breaker action and/or a protection equipment action according to the space-time data.
In one embodiment, the feature extraction module 703 is further configured to discretize the perturbation event, and extract a transient event amplitude, a transient event duration, a transient event location, a voltage level of the transient event, and/or an action device type in the perturbation event.
In one embodiment, the association determining module 704 is further configured to determine an association relationship between the transient event amplitude, the transient event duration, the transient event location, the voltage level of the transient event and/or the action device type and the event cause according to the matching relationship and a strong association rule algorithm.
In one embodiment, further comprising: the characteristic acquisition module is used for acquiring an electric energy quality event to be analyzed and extracting the event characteristic of the electric energy quality event to be analyzed; and the cause determining module is used for inquiring the incidence relation according to the event characteristics to obtain the event cause of the power quality event to be analyzed.
It should be noted that, the device for determining the association between the power quality event and the event cause of the present invention corresponds to the method for determining the association between the power quality event and the event cause of the present invention one by one, and the technical features and the advantages thereof described in the embodiments of the method for determining the association between the power quality event and the event cause of the present invention are all applicable to the embodiments of the device for determining the association between the power quality event and the event cause of the present invention, and specific contents thereof can be referred to the description in the embodiments of the method of the present invention, which is not described herein again, and thus, is stated.
In addition, in the above-mentioned embodiment of the device for determining the correlation between the power quality event and the event cause, the logical division of the program modules is only an example, and in practical applications, the above-mentioned function distribution may be performed by different program modules according to needs, for example, due to the configuration requirements of corresponding hardware or the convenience of implementation of software, that is, the internal structure of the device for determining the correlation between the power quality event and the event cause is divided into different program modules to perform all or part of the above-described functions.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: acquiring a plurality of power quality events, and integrating the power quality events corresponding to the same disturbance source into one disturbance event; determining a matching relation between the disturbance event and a preset event cause; discretizing the disturbance event, and extracting event characteristics from the disturbance event; and determining the incidence relation between the event characteristics and the event cause according to the matching relation.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the step of integrating the power quality events corresponding to the same disturbance source into one disturbance event includes: determining spatiotemporal data of the power quality event; performing cluster analysis on the power quality events according to the time-space data, and judging that the power quality events corresponding to the same cluster type belong to the same disturbance source; and integrating the electric energy quality events corresponding to the same disturbance source into one disturbance event.
In one embodiment, the processor, when executing the computer program, further performs the steps of: before the step of determining that the power quality events corresponding to the same cluster category belong to the same disturbance source, the method further includes: and when the distance between the centroid of each clustering class and the corresponding spatio-temporal data is less than or equal to a preset threshold value, determining that clustering is finished.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the step of determining the matching relationship between the disturbance event and a preset event cause includes: determining spatiotemporal data of the perturbation event; and determining the matching relation between the disturbance event and a lightning stroke line, a transformer fault, a breaker action and/or a protection equipment action according to the space-time data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the power quality event comprises a transient event; the step of discretizing the disturbance event and extracting event features from the disturbance event comprises the following steps: and discretizing the disturbance event, and extracting the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type in the disturbance event.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the step of determining the incidence relation between the event feature and the event cause according to the matching relation includes: and determining the association relationship between the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type and the event cause according to the matching relationship and a strong association rule algorithm.
In one embodiment, the processor, when executing the computer program, further performs the steps of: after the step of determining the incidence relation between the event feature and the event cause according to the matching relation, the method further includes: acquiring a power quality event to be analyzed, and extracting event characteristics of the power quality event to be analyzed; and inquiring the incidence relation according to the event characteristics to obtain the event cause of the power quality event to be analyzed.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring a plurality of power quality events, and integrating the power quality events corresponding to the same disturbance source into one disturbance event; determining a matching relation between the disturbance event and a preset event cause; discretizing the disturbance event, and extracting event characteristics from the disturbance event; and determining the incidence relation between the event characteristics and the event cause according to the matching relation.
In one embodiment, the computer program when executed by the processor further performs the steps of: the step of integrating the power quality events corresponding to the same disturbance source into one disturbance event includes: determining spatiotemporal data of the power quality event; performing cluster analysis on the power quality events according to the time-space data, and judging that the power quality events corresponding to the same cluster type belong to the same disturbance source; and integrating the electric energy quality events corresponding to the same disturbance source into one disturbance event.
In one embodiment, the computer program when executed by the processor further performs the steps of: before the step of determining that the power quality events corresponding to the same cluster category belong to the same disturbance source, the method further includes: and when the distance between the centroid of each clustering class and the corresponding spatio-temporal data is less than or equal to a preset threshold value, determining that clustering is finished.
In one embodiment, the computer program when executed by the processor further performs the steps of: the step of determining the matching relationship between the disturbance event and a preset event cause includes: determining spatiotemporal data of the perturbation event; and determining the matching relation between the disturbance event and a lightning stroke line, a transformer fault, a breaker action and/or a protection equipment action according to the space-time data.
In one embodiment, the computer program when executed by the processor further performs the steps of: the power quality event comprises a transient event; the step of discretizing the disturbance event and extracting event features from the disturbance event comprises the following steps: and discretizing the disturbance event, and extracting the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type in the disturbance event.
In one embodiment, the computer program when executed by the processor further performs the steps of: the step of determining the incidence relation between the event feature and the event cause according to the matching relation includes: and determining the association relationship between the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type and the event cause according to the matching relationship and a strong association rule algorithm.
In one embodiment, the computer program when executed by the processor further performs the steps of: after the step of determining the incidence relation between the event feature and the event cause according to the matching relation, the method further includes: acquiring a power quality event to be analyzed, and extracting event characteristics of the power quality event to be analyzed; and inquiring the incidence relation according to the event characteristics to obtain the event cause of the power quality event to be analyzed.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program, which is stored in a computer readable storage medium and sold or used as a stand-alone product. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The terms "comprises" and "comprising," and any variations thereof, of embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or (module) elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-described examples merely represent several embodiments of the present invention and should not be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for determining an incidence relation between an electric energy quality event and an event cause is characterized by comprising the following steps:
acquiring a plurality of power quality events, and integrating the power quality events of the same disturbance source into one disturbance event;
taking the time and the position of the disturbance event as a matching key; the time and the position of the disturbance event are determined according to the time and the position of the occurrence of the power quality event of the same disturbance source;
after the similarity between a disturbance event and breaker action data, protection equipment action data, alarm data and field search data is calculated by using the matching key, determining an event cause according to the power quality data, the breaker action data, the protection equipment action data, the alarm data and the field search data;
discretizing the disturbance event, and extracting event characteristics from the disturbance event; the event characteristics comprise the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type in the disturbance event; wherein the power quality event comprises a transient event;
determining an incidence relation between the event characteristics and the event cause according to a matching relation between the disturbance event and the event cause;
acquiring a power quality event to be analyzed, and extracting event characteristics of the power quality event to be analyzed;
and inquiring the incidence relation according to the event characteristics of the power quality event to be analyzed to obtain the event cause of the power quality event to be analyzed.
2. The method for determining correlation between power quality events and event causes according to claim 1, wherein the step of integrating power quality events of the same disturbance source into one disturbance event comprises:
determining spatiotemporal data of the power quality event;
performing cluster analysis on the power quality events according to the time-space data, and judging that the power quality events corresponding to the same cluster type belong to the same disturbance source;
and integrating the electric energy quality events corresponding to the same disturbance source into one disturbance event.
3. The method for determining the incidence relation between the power quality events and the event causes according to claim 2, wherein before the step of determining that the power quality events corresponding to the same cluster category belong to the same disturbance source, the method further comprises:
and when the distance between the centroid of each clustering class and the corresponding spatio-temporal data is less than or equal to a preset threshold value, determining that clustering is finished.
4. The method for determining the correlation between the power quality event and the event cause according to claim 1, wherein the step of determining the correlation between the event feature and the event cause according to the matching relationship between the disturbance event and the event cause comprises:
and determining the association relationship between the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type and the event cause according to the matching relationship between the disturbance event and the event cause and a strong association rule algorithm.
5. An apparatus for determining correlation between an event of quality of electric energy and an event cause, comprising:
the event integration module is used for acquiring a plurality of power quality events and integrating the power quality events of the same disturbance source into one disturbance event;
the matching relation determining module is used for taking the time and the position of the disturbance event as a matching key; after the similarity between a disturbance event and breaker action data, protection equipment action data, alarm data and field search data is calculated by using the matching key, determining an event cause according to the power quality data, the breaker action data, the protection equipment action data, the alarm data and the field search data; the time and the position of the disturbance event are determined according to the time and the position of the occurrence of the power quality event of the same disturbance source;
the characteristic extraction module is used for carrying out discretization processing on the disturbance event and extracting event characteristics from the disturbance event; the event characteristics comprise the transient event amplitude, the transient event duration, the transient event position, the voltage level of the transient event and/or the action equipment type in the disturbance event; the power quality event comprises a transient event;
the incidence relation determining module is used for determining the incidence relation between the event characteristics and the event cause according to the matching relation between the disturbance event and the event cause;
the characteristic acquisition module is used for acquiring an electric energy quality event to be analyzed and extracting the event characteristic of the electric energy quality event to be analyzed;
and the cause determining module is used for inquiring the incidence relation according to the event characteristics of the power quality event to be analyzed to obtain the event cause of the power quality event to be analyzed.
6. The apparatus for determining correlation between power quality events and event causes according to claim 5, wherein the event integration module comprises:
a data determination submodule for determining spatiotemporal data of the power quality event;
the event clustering submodule is used for carrying out clustering analysis on the electric energy quality events according to the time-space data and judging that the electric energy quality events corresponding to the same clustering class belong to the same disturbance source;
and the event integration submodule is used for integrating the electric energy quality events corresponding to the same disturbance source into one disturbance event.
7. The apparatus for determining correlation between power quality events and event causes according to claim 6, further comprising a clustering module for determining that clustering is finished when the distance between the centroid of each cluster category and the corresponding spatio-temporal data is less than or equal to a preset threshold.
8. The apparatus for determining correlation between power quality events and event causes according to claim 5, wherein the correlation determination module is further configured to determine the correlation between the transient event amplitude, the transient event duration, the transient event location, the voltage level of the transient event and/or the type of the action device, and the event cause according to a matching relationship between the disturbance event and the event cause and according to a strong correlation rule algorithm.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 4 are implemented by the processor when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 4.
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