CN107621593A - A kind of low-voltage method for early warning and device based on time series - Google Patents

Abstract

The present application discloses a low voltage early warning method and device based on time series. The method includes: obtaining multiple voltage monitoring data at the end voltage monitoring point of the distribution network; performing differential calculation on the multiple voltage monitoring data, Obtaining a stable voltage monitoring sequence; performing time series modeling on the stable voltage monitoring sequence of the voltage monitoring point to obtain a time series model; performing low voltage early warning according to the time series model. The time-series-based low-voltage early warning method and device disclosed in the present application effectively realize low-voltage early warning.

Description

A low voltage early warning method and device based on time series

technical field

The present application relates to the field of low voltage early warning, in particular to a low voltage early warning method and device based on time series.

Background technique

The low-voltage risk of the power system reflects the possibility and degree of harm caused by the system to cause the bus voltage drop in the system. In recent years, some major power outages at home and abroad have caused huge losses in social life and economy. The need for an early warning system for online security.

At present, the voltage online monitoring data of the voltage monitoring point can only reflect the voltage situation of the voltage monitoring point, and cannot play an early warning role for the occurrence of low voltage. Prevent the occurrence of low voltage. Therefore, research and establish online monitoring data of voltage monitoring points, low voltage early warning method and technology based on time series, and realize low voltage early warning management of voltage monitoring points in a real sense.

Contents of the invention

The present application provides a low voltage early warning method and device based on time series, so as to solve the low voltage early warning problem of distribution network.

In the first aspect, the present application provides a low voltage early warning method based on time series, the method comprising:

Obtain multiple voltage monitoring data at the voltage monitoring point at the end of the distribution network;

performing a differential operation on the plurality of voltage monitoring data to obtain a stable voltage monitoring sequence;

performing time series modeling on the stable voltage monitoring sequence of the voltage monitoring point to obtain a time series model;

Carry out low voltage early warning according to the time series model.

In the second aspect, the present application also provides a low-voltage early warning device based on time series, including: a controller, a metering chip, a signal conditioning circuit, a voltage data acquisition component, and an early warning component, wherein:

The voltage data acquisition component is electrically connected to the signal conditioning circuit, the signal conditioning circuit is electrically connected to the metering chip, the metering chip is electrically connected to the controller, and the controller is electrically connected to the early warning component connect;

The metering chip executes the method described in the first aspect.

The beneficial effects of the time-series-based low-voltage early warning method and device disclosed in the present application include:

At present, the voltage online monitoring data of the voltage monitoring point can only reflect the voltage situation of the voltage monitoring point, and cannot play an early warning role for the occurrence of low voltage. The method disclosed in this application can be based on the collected voltage monitoring data at the voltage monitoring point. Carry out time series modeling and predict the voltage situation in the future according to the time series model, so as to effectively assist the monitoring personnel to grasp the low voltage situation and give early warning in time.

Description of drawings

In order to illustrate the technical solution of the present application more clearly, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, on the premise of not paying creative labor, Additional drawings can also be derived from these drawings.

Fig. 1 is a schematic flow chart of a low voltage early warning method based on time series provided by the embodiment of the present application;

FIG. 2 is a schematic flow diagram of step S300 provided by the embodiment of the present application;

FIG. 3 is a schematic flow diagram of step S400 provided by the embodiment of the present application;

FIG. 4 is a schematic structural diagram of a time-series-based low-voltage early warning device provided by an embodiment of the present application.

detailed description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

Referring to FIG. 1 , it is a schematic flowchart of a time-series-based low-voltage early warning method provided by an embodiment of the present application.

In step S100, a plurality of voltage monitoring data at the end voltage monitoring points of the distribution network are obtained.

The low-voltage early warning device based on time series is installed on the distribution network, and the voltage detection data at the voltage monitoring point is collected in real time. In the embodiment of the present application, the collection of voltage monitoring points at the end of a distribution network 220V station area is taken as an example. Generally, it is sufficient to collect voltage monitoring data for 5 minutes online.

The collected multiple voltage monitoring data are stored in the database to provide powerful informatization support for low-voltage early warning at voltage monitoring points, and improve the accuracy and timeliness of low-voltage early warning at monitoring points. In addition, the voltage monitoring data at multiple voltage monitoring points can also be collected, and a database file can be established for each voltage monitoring point in the database.

In step S200, a differential operation is performed on the plurality of voltage monitoring data to obtain a stable voltage monitoring sequence.

Obtain a plurality of voltage monitoring data at the voltage monitoring point from the database, and perform checking and dividing operation on the multiple voltage monitoring data, wherein, the checking and dividing calculation formula is: Δf(t)=f(t)-f(t-1), f (t) is the voltage monitoring data at the current moment, and f(t-1) is the voltage monitoring data at the previous moment. After differential operation, a stable voltage monitoring sequence is obtained. A stable voltage monitoring sequence refers to a time series whose mean value, variance and autoregressive function do not change with time.

In step S300, time series modeling is performed on the stable voltage monitoring sequence of the voltage monitoring point to obtain a time series model;

In the embodiment of the present application, a stable voltage monitoring sequence is obtained through differential calculation. The voltage monitoring sequence is a time sequence, which reflects the order in which the voltage monitoring data is arranged according to time within a certain period of time. Therefore, the voltage monitoring points can be The stable voltage monitoring sequence is used for time series modeling to obtain a time series model.

Referring specifically to FIG. 2 , it is a schematic flowchart of a step S300 provided in the embodiment of the present application.

In step S301, the stable voltage monitoring sequence is modeled with an autocorrelation function to obtain an autocorrelation coefficient.

In step S302, the stationary voltage monitoring sequence is modeled with a partial autocorrelation function to obtain a partial autocorrelation coefficient.

In step S303, an autoregressive integral moving average model is established.

In step S304, time series modeling is performed on the stable voltage detection data of the voltage monitoring point according to the autoregressive integral average model, autocorrelation coefficient, and partial autocorrelation coefficient to obtain a time series model.

Autocorrelation function modeling and partial autocorrelation function modeling are carried out according to the stable voltage monitoring sequence, and autocorrelation coefficient and partial autocorrelation coefficient are obtained. Using the autoregressive integral moving average model and the obtained autocorrelation coefficient and partial autocorrelation coefficient to conduct time series modeling on the online monitoring data of voltage monitoring points, a time series model is obtained.

In step S400, a low voltage warning is performed according to the time series model.

The time series model reflects the change of voltage in different time periods. Therefore, when the voltage monitoring data sorted by time series are input into the model, the change of voltage in a certain period of time in the future can be predicted according to the time series model, so that according to the change of future voltage Forewarning.

Specifically, refer to FIG. 3 , which is a schematic flowchart of step S400 provided in the embodiment of the present application.

In step S401, input the stable voltage monitoring sequence into the time series model to obtain a predicted value.

After the time series model is established, early warning can be carried out based on the time series model. The obtained stable voltage monitoring sequence is input into the time series model as input data to obtain the predicted value of a certain period of time or a certain time point in the future.

In step S402, if the preset value is lower than the preset warning value, a low voltage warning is performed.

In the embodiment of the present application, the warning value of the voltage monitoring point can be set to 209V, and different warning values can be set for different voltage monitoring points. Comparing the predicted value with the warning value, if the predicted value is lower than the warning value, a low voltage warning will be given.

It can be seen from the above description that the time-series-based low-voltage early warning method provided by the embodiment of the present application can effectively solve the problem that monitoring personnel cannot grasp or grasp inaccurate low-voltage conditions, prevent the occurrence of low voltage, and realize low-voltage early warning at voltage monitoring points .

Referring to Figure 4, it is a schematic structural diagram of a time-series-based low-voltage early warning device provided by the embodiment of the present application, including: a controller, a metering chip, a signal conditioning circuit, a voltage data acquisition component, and an early warning component, wherein:

The voltage data acquisition component is electrically connected to the signal conditioning circuit, the signal conditioning circuit is electrically connected to the metering chip, the metering chip is electrically connected to the controller, and the controller is electrically connected to the early warning component;

The metering chip receives time-series-based voltage monitoring data collected by the voltage data acquisition component, and uses the time-series model to calculate the predicted value, and the controller controls the early warning component to give an early warning according to the predicted value calculated by the metering chip.

The signal conditioning circuit is used to perform noise reduction processing on the collected voltage monitoring data, and the metering chip invokes the method provided in the above embodiment according to the noise-reduced voltage monitoring data, and finally the controller controls the early warning component to perform early warning. The early warning component can be set as an alarm or a buzzer.

In addition, the device provided in the embodiment of the present application further includes a communication component, which is electrically connected to the controller and communicates with the terminal. The metering chip sends the calculated predicted value to the controller, and the controller sends the predicted value to the terminal through the communication component for analysis and storage.

When using the time-series-based low-voltage early warning device provided by the embodiment of the present application, the voltage data acquisition component is installed at the voltage monitoring point on the power grid, and the voltage monitoring data is collected in real time. The time-series-based low-voltage early warning device provided by the embodiment of the present application has high module integration and simple hardware structure, so it is small in size, can be installed quickly during use, and is easy to carry.

In addition, a suction cup can also be set on the time-series-based low-voltage early warning device, which does not require fixing components such as screws during installation, and can be used by directly adsorbing on the power distribution cabinet.

It can be seen from the above description that the time-series-based low-voltage early warning device provided by the embodiment of the present application realizes low-voltage early warning and is convenient and quick to install and disassemble.

Those skilled in the art can clearly understand that the technologies in the embodiments of the present invention can be implemented by means of software plus a necessary general-purpose hardware platform. Based on this understanding, the essence of the technical solutions in the embodiments of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products can be stored in storage media, such as ROM/RAM , magnetic disk, optical disk, etc., including several instructions to enable a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of the present invention.

For the same and similar parts among the various embodiments in this specification, please refer to each other. In particular, for the... embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for relevant details, please refer to the description in the method embodiment.

The embodiments of the present invention described above are not intended to limit the protection scope of the present invention.

Other embodiments of the invention will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosure herein. This application is intended to cover any modification, use or adaptation of the present invention, these modifications, uses or adaptations follow the general principles of the present invention and include common knowledge or conventional technical means in the technical field not disclosed in the present invention . The specification and examples are to be considered exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It should be understood that the present invention is not limited to the precise constructions which have been described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (8)

1. A low voltage early warning method based on time series, is characterized in that, described method comprises: Obtain multiple voltage monitoring data at the voltage monitoring point at the end of the distribution network; performing a differential operation on the plurality of voltage monitoring data to obtain a stable voltage monitoring sequence; performing time series modeling on the stable voltage monitoring sequence of the voltage monitoring point to obtain a time series model; Carry out low voltage early warning according to the time series model. 2. The method according to claim 1, wherein the time series modeling is carried out to the stable voltage monitoring sequence of the voltage monitoring point, comprising: Carrying out autocorrelation function modeling to the stable voltage monitoring sequence to obtain an autocorrelation coefficient; Carrying out partial autocorrelation function modeling to described stable voltage monitoring sequence, obtains partial autocorrelation coefficient; Establish an autoregressive integral moving average model; The time series modeling is performed on the stable voltage detection data of the voltage monitoring point according to the autoregressive integral average model, the autocorrelation coefficient and the partial autocorrelation coefficient to obtain a time series model. 3. The method according to claim 1, wherein the low voltage early warning according to the time series model comprises: Inputting the stable voltage monitoring sequence into the time series model to obtain a predicted value; If the predicted value is lower than the preset warning value, a low voltage warning is performed. 4. The method according to claim 1, characterized in that, performing a differential operation on the plurality of voltage monitoring data to obtain a stable voltage monitoring sequence, comprising: The difference calculation formula is: Δf(t)=f(t)-f(t-1); wherein, the f(t) is the voltage monitoring data at the current moment, and the f(t-1) is the previous moment voltage monitoring data. 5. The method according to claim 1, wherein the stable voltage monitoring sequence is a time series in which mean value, variance and autoregressive function do not change with time. 6. A low-voltage early warning device based on time series, characterized in that it includes: a controller, a metering chip, a signal conditioning circuit, a voltage data acquisition component and an early warning component, wherein: The voltage data acquisition component is electrically connected to the signal conditioning circuit, the signal conditioning circuit is electrically connected to the metering chip, the metering chip is electrically connected to the controller, and the controller is electrically connected to the early warning component connect; The metering chip executes the method according to any one of claims 1-5. 7. The device according to claim 6, further comprising a communication component, the communication component is electrically connected to the controller, and the communication component communicates with the terminal. 8. The device according to claim 6, wherein the early warning component is configured as an alarm or a buzzer.