A partial discharge monitoring method for a molten salt thermal storage system

Abstract

The application provides a partial discharge monitoring method and device of a molten salt heat storage system, an electronic device and a storage medium, wherein the method comprises the following steps: acquiring a time-domain cumulative energy function and a frequency-domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system; determining a time-domain width characteristic parameter and a time-domain steepness parameter of the time-domain cumulative energy function, and a frequency-domain width characteristic parameter and a frequency-domain steepness parameter of the frequency-domain cumulative energy function according to a preset negative slope straight line and a definition domain corresponding to the time-domain cumulative energy function and the frequency-domain cumulative energy function; and clustering a four-dimensional space vector composed of the time-domain width characteristic parameter, the frequency-domain width characteristic parameter, the time-domain steepness parameter and the frequency-domain steepness parameter, so as to determine a partial discharge device of the salt heat storage system according to a target four-dimensional space vector after clustering. Thus, the dynamic monitoring of the partial discharge device is realized based on the target four-dimensional space vector, and the reliability of the molten salt heat storage system is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of discharge monitoring, and particularly relates to a partial discharge monitoring method and device for a molten salt heat storage system, an electronic device and a storage medium. BACKGROUND

[0002] At present, in the field of partial discharge detection of a molten salt heat storage system, different degrees of insulation aging are caused by long-term operation of power equipment, which leads to partial discharge of the power equipment, and the phenomenon of partial discharge is uncertain, thereby affecting the safety of the molten salt heat storage system, and therefore a partial discharge monitoring method for the molten salt heat storage system is urgently needed. SUMMARY

[0003] The present application provides a partial discharge monitoring method and device for a molten salt heat storage system, an electronic device and a storage medium.

[0004] The first aspect of the present application provides a partial discharge monitoring method for a molten salt heat storage system, obtains a time-domain cumulative energy function and a frequency-domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system, determines a time-domain width characteristic parameter corresponding to the time-domain cumulative energy function and a frequency-domain width characteristic parameter corresponding to the frequency-domain cumulative energy function according to preset negative slope straight lines corresponding to the time-domain cumulative energy function and the frequency-domain cumulative energy function respectively, determines a time-domain steepness parameter corresponding to the time-domain cumulative energy function and a frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function according to definition domains corresponding to the time-domain cumulative energy function and the frequency-domain cumulative energy function respectively, clusters a four-dimensional space vector composed of the time-domain width characteristic parameter, the frequency-domain width characteristic parameter, the time-domain steepness parameter and the frequency-domain steepness parameter through a density clustering algorithm to obtain a target four-dimensional space vector after clustering, and determines a partial discharge device of the molten salt heat storage system according to a target time-domain width characteristic parameter, a target frequency-domain width characteristic parameter, a target time-domain steepness parameter and a target frequency-domain steepness parameter in the target four-dimensional space vector.

[0005] In an embodiment of the present application, the obtaining of the time-domain cumulative energy function and the frequency-domain cumulative energy function corresponding to the partial discharge signal of the molten salt heat storage system comprises: obtaining a trigger time sequence corresponding to the partial discharge signal, and collecting a collection time sequence corresponding to the partial discharge signal; taking a difference between the trigger time sequence and the collection time sequence as a time sequence of the partial discharge signal; obtaining a partial discharge signal collected under the time sequence of the molten salt heat storage system, and extracting a single signal waveform from the partial discharge signal; and determining the time-domain cumulative energy function and the frequency-domain cumulative energy function corresponding to the partial discharge signal according to the single signal waveform.

[0006] In one embodiment of the present application, the determination of the time-domain width characteristic parameter corresponding to the time-domain cumulative energy function and the frequency-domain width characteristic parameter corresponding to the frequency-domain cumulative energy function according to the preset negative slope straight line corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function comprises: obtaining the slope and intercept of the preset negative slope straight line corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function, and determining the preset negative slope straight line according to the slope and the intercept; obtaining two candidate partial discharge signals on both sides of the preset negative slope straight line; determining the time-domain intersection point and the frequency-domain intersection point of the preset negative slope straight line, the time-domain cumulative energy function and the frequency-domain cumulative energy function according to the slope, the intercept and the two candidate partial discharge signals; and performing coordinate rotation on the time-domain intersection point and the frequency-domain intersection point to obtain the time-domain width characteristic parameter corresponding to the time-domain cumulative energy function and the frequency-domain width characteristic parameter corresponding to the frequency-domain cumulative energy function.

[0007] In one embodiment of the present application, the determination of the time-domain steepness parameter corresponding to the time-domain cumulative energy function and the frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function according to the definition domain corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function comprises: performing erosion and inflation processing on the definition domain corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function to obtain the structure element corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function; and determining the time-domain steepness parameter corresponding to the time-domain cumulative energy function and the frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function according to the length of the structure element.

[0008] In one embodiment of the present application, the clustering of the four-dimensional space vector composed of the time-domain width characteristic parameter, the frequency-domain width characteristic parameter, the time-domain steepness parameter and the frequency-domain steepness parameter by the density clustering algorithm to obtain the target four-dimensional space vector after clustering comprises: obtaining the time-domain density function and the frequency-domain density function corresponding to the time-domain width characteristic parameter and the frequency-domain width characteristic parameter in the density clustering algorithm; determining the separation index corresponding to each of the time-domain width characteristic parameter and the frequency-domain width characteristic parameter according to the peak value number, the peak value and the peak-valley value corresponding to each of the time-domain density function and the frequency-domain density function; obtaining the target time-domain width characteristic parameter, the target frequency-domain width characteristic parameter, the target time-domain steepness parameter and the target frequency-domain steepness parameter corresponding to the maximum separation index; and composing the target four-dimensional space vector with the target time-domain width characteristic parameter, the target frequency-domain width characteristic parameter, the target time-domain steepness parameter and the target frequency-domain steepness parameter.

[0009] The application provides a partial discharge monitoring method of a molten salt heat storage system, acquires a time domain cumulative energy function and a frequency domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system, and determines a time domain width characteristic parameter and a time domain steepness parameter of the time domain cumulative energy function, and a frequency domain width characteristic parameter and a frequency domain steepness parameter of the frequency domain cumulative energy function according to preset negative slope straight lines and definition domains corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function respectively. Then, a four-dimensional space vector composed of the time domain width characteristic parameter, the frequency domain width characteristic parameter, the time domain steepness parameter and the frequency domain steepness parameter is clustered, so that a partial discharge device of the salt heat storage system is determined according to a target four-dimensional space vector after clustering. Thus, the dynamic monitoring of the partial discharge device is realized based on the target four-dimensional space vector, and the reliability of the molten salt heat storage system is improved.

[0010] The application provides a partial discharge monitoring device of a molten salt heat storage system of an equipment, the device comprises: an acquisition module, configured to acquire a time domain cumulative energy function and a frequency domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system; a first determination module, configured to determine a time domain width characteristic parameter corresponding to the time domain cumulative energy function and a frequency domain width characteristic parameter corresponding to the frequency domain cumulative energy function according to preset negative slope straight lines corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function respectively; a second determination module, configured to determine a time domain steepness parameter corresponding to the time domain cumulative energy function and a frequency domain steepness parameter corresponding to the frequency domain cumulative energy function according to definition domains corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function respectively; a clustering module, configured to cluster a four-dimensional space vector composed of the time domain width characteristic parameter, the frequency domain width characteristic parameter, the time domain steepness parameter and the frequency domain steepness parameter through a density clustering algorithm, so as to obtain a target four-dimensional space vector after clustering; and a third determination module, configured to determine a partial discharge device of the salt heat storage system according to a target time domain width characteristic parameter, a target frequency domain width characteristic parameter, a target time domain steepness parameter and a target frequency domain steepness parameter in the target four-dimensional space vector.

[0011] In one embodiment of the application, the acquisition module is specifically configured to: acquire a trigger time sequence corresponding to the partial discharge signal, and acquire a collection time sequence corresponding to the collection of the partial discharge signal; take the difference between the trigger time sequence and the collection time sequence as a time sequence of the partial discharge signal; acquire the partial discharge signal collected by the molten salt heat storage system under the time sequence, and extract a single signal waveform from the partial discharge signal; and determine the time domain cumulative energy function and the frequency domain cumulative energy function corresponding to the partial discharge signal according to the single signal waveform.

[0012] In an embodiment of the present application, the first determining module is specifically configured to: acquire the slope and intercept of the preset negative slope straight line corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function respectively, and determine the preset negative slope straight line according to the slope and the intercept; acquire two candidate partial discharge signals on both sides of the preset negative slope straight line; determine the time domain intersection and the frequency domain intersection of the preset negative slope straight line and the time domain cumulative energy function and the frequency domain cumulative energy function according to the slope, the intercept and the two candidate partial discharge signals; and perform coordinate rotation on the time domain intersection and the frequency domain intersection to obtain the time domain width characteristic parameter corresponding to the time domain cumulative energy function and the frequency domain width characteristic parameter corresponding to the frequency domain cumulative energy function.

[0013] In an embodiment of the present application, the second determining module is specifically configured to: perform erosion and inflation processing on the definition domain corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function respectively to obtain the structural element corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function; and determine the time domain steepness parameter corresponding to the time domain cumulative energy function and the frequency domain steepness parameter corresponding to the frequency domain cumulative energy function according to the length of the structural element.

[0014] In an embodiment of the present application, the clustering module is specifically configured to: acquire the time domain density function and the frequency domain density function corresponding to the time domain width characteristic parameter and the frequency domain width characteristic parameter in the density clustering algorithm; determine the separation index corresponding to the time domain width characteristic parameter and the frequency domain width characteristic parameter according to the peak value number, the peak value and the peak-valley value corresponding to the time domain density function and the frequency domain density function respectively; acquire the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter corresponding to the maximum separation index; and group the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter into a target four-dimensional space vector.

[0015] The application provides a partial discharge monitoring device of a molten salt heat storage system, acquires a time domain cumulative energy function and a frequency domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system, and determines a time domain width characteristic parameter and a time domain steepness parameter of the time domain cumulative energy function and a frequency domain width characteristic parameter and a frequency domain steepness parameter of the frequency domain cumulative energy function according to a preset negative slope straight line and a definition domain corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function respectively, and then clusters a four-dimensional space vector composed of the time domain width characteristic parameter, the frequency domain width characteristic parameter, the time domain steepness parameter and the frequency domain steepness parameter, so as to determine a partial discharge device of the salt heat storage system according to a target four-dimensional space vector after clustering. Therefore, the dynamic monitoring of the partial discharge device is realized based on the target four-dimensional space vector, and the reliability of the molten salt heat storage system is improved.

[0016] The third aspect of the application provides an electronic device, which comprises a memory, a monitor and a determination machine program stored in the memory and capable of running on the monitor, and when the monitor executes the program, the partial discharge monitoring method of the molten salt heat storage system in the application is realized.

[0017] The fourth aspect of the application provides a determination machine readable storage medium, which stores a determination machine program, and when the program is executed by the monitor, the partial discharge monitoring method of the molten salt heat storage system in the application is realized.

[0018] The other effects of the optional mode will be described in the following with the specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 is a flowchart of a partial discharge monitoring method of a molten salt heat storage system provided by the application;

[0020] Figure 2 is a clustering diagram of a four-dimensional space vector provided by the application;

[0021] Figure 3 is a flowchart of another partial discharge monitoring method of a molten salt heat storage system provided by the application;

[0022] Figure 4 is a flowchart of another partial discharge monitoring method of a molten salt heat storage system provided by the application;

[0023] Figure 5 is a schematic diagram of a preset negative slope straight line and a time domain cumulative energy function provided by the application;

[0024] Figure 6is a flowchart of another partial discharge monitoring method of a molten salt heat storage system provided by an embodiment of the present application;

[0025] Figure 7 is a flowchart of another partial discharge monitoring method of a molten salt heat storage system provided by an embodiment of the present application;

[0026] Figure 8 is a curve diagram of a time-domain density function provided by an embodiment of the present application;

[0027] Figure 9 is a flowchart of another partial discharge monitoring method of a molten salt heat storage system provided by an embodiment of the present application;

[0028] Figure 10 is a structural diagram of a molten salt heat storage device provided by an embodiment of the present application;

[0029] Figure 11 is a structural diagram of a partial discharge monitoring device of a molten salt heat storage system provided by an embodiment of the present application;

[0030] Figure 12 is a block diagram of an electronic device of an embodiment of the present application. DETAILED DESCRIPTION

[0031] Embodiments of the present application are described in detail below with reference to the accompanying drawings, examples of which are shown in the drawings, wherein the same or similar notations represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0032] The partial discharge monitoring method, device and electronic device of a molten salt heat storage system of an embodiment of the present application are described below with reference to the accompanying drawings.

[0033] Figure 1 is a flowchart of a partial discharge monitoring method of a molten salt heat storage system provided by an embodiment of the present application. It should be noted that the execution subject of the partial discharge monitoring method of the molten salt heat storage system provided by the present embodiment is a partial discharge monitoring device of a molten salt heat storage system, which can be realized by software and / or hardware. The partial discharge monitoring device of the molten salt heat storage system in the present embodiment can be an electronic device, or can be configured in an electronic device. The electronic device in the present embodiment can include a server, etc., and the present embodiment does not specifically limit the electronic device.

[0034] Figure 1 is a flowchart of a partial discharge monitoring method of a molten salt heat storage system provided by an embodiment of the present application.

[0035] As Figure 1 shown, the partial discharge monitoring method of the molten salt thermal storage system can include:

[0036] Step 101, obtaining the time-domain cumulative energy function and the frequency-domain cumulative energy function corresponding to the partial discharge signal of the molten salt thermal storage system.

[0037] In some embodiments, the molten salt thermal storage system can be a double-tank molten salt thermal storage system, but is not limited thereto, and this embodiment does not make specific limitations thereto.

[0038] In some embodiments, the partial discharge signal can be any power equipment in the molten salt thermal storage system, wherein the power equipment can be a transformer, a circuit breaker, an isolating switch, and an electric heater, but is not limited thereto.

[0039] In another embodiment, an exemplary embodiment of obtaining the time-domain cumulative energy function and the frequency-domain cumulative energy function corresponding to the partial discharge signal of the molten salt thermal storage system can be to obtain the waveform of a single signal in the partial discharge signal, and to represent the time-domain cumulative energy function and the frequency-domain cumulative energy function corresponding to the partial discharge signal according to the waveform.

[0040] Step 102, determining the time-domain width characteristic parameter corresponding to the time-domain cumulative energy function and the frequency-domain width characteristic parameter corresponding to the frequency-domain cumulative energy function according to the preset negative slope straight line corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function.

[0041] In some embodiments, to improve the accuracy of the time-domain width characteristic parameter and the frequency-domain width characteristic parameter, the intercept and the slope of the preset negative slope straight line can be set to adjust the time-domain width characteristic parameter and the frequency-domain width characteristic parameter, so as to obtain the optimal time-domain width characteristic parameter and the frequency-domain width characteristic parameter.

[0042] In some embodiments, an exemplary embodiment can be to set a fixed slope, and then adjust the intercept to obtain the time-domain width characteristic parameter and the frequency-domain width characteristic parameter corresponding to a plurality of different intercepts, and to select the optimal time-domain width characteristic parameter and the frequency-domain width characteristic parameter.

[0043] Step 103, determining the time-domain steepness parameter corresponding to the time-domain cumulative energy function and the frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function according to the definition domain corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function.

[0044] In some embodiments, the mathematical morphology can be used to process the definition domain corresponding to the time-domain cumulative energy function and the frequency-domain cumulative energy function respectively, to obtain the time-domain steepness parameter corresponding to the time-domain cumulative energy function and the frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function, so as to reduce the influence of external noise on the time-domain cumulative energy function and the frequency-domain cumulative energy function.

[0045] In step 104, the four-dimensional space vector composed of the time-domain width feature parameter, the frequency-domain width feature parameter, the time-domain steepness parameter and the frequency-domain steepness parameter is clustered by the density clustering algorithm to obtain the target four-dimensional space vector after clustering.

[0046] In some embodiments, the density clustering algorithm can be a density-based spatial clustering of applications with noise (DBSCAN) algorithm, but is not limited thereto.

[0047] In some embodiments, one implementation of clustering the four-dimensional space vector composed of the time-domain width feature parameter, the frequency-domain width feature parameter, the time-domain steepness parameter and the frequency-domain steepness parameter by the DBSCAN algorithm can be to compare the number of core points in the hyper-spherical neighborhood with a radius of Eps in the four-dimensional space vector with the density limit MinPts of the four-dimensional space vector, to determine whether the four-dimensional space vector belongs to the same class, and then to realize clustering point by point.

[0048] Specifically, as Figure 2 , first, the original data space corresponding to the four-dimensional space vector is divided into several hypercubes, each feature parameter range is divided into Nf (Nf can be set to 200) grids, the center of the hypercube containing more than one data point is collected to form a new data space, the DBSCAN algorithm is used to perform spatial clustering on the data space, and finally the clustering results are mapped to the original data space according to the data point index contained in each hypercube.

[0049] In step 105, the target time-domain width feature parameter, the target frequency-domain width feature parameter, the target time-domain steepness parameter and the target frequency-domain steepness parameter in the target four-dimensional space vector are used to determine the partial discharge equipment of the salt thermal storage system.

[0050] In some embodiments, one implementation of determining the partial discharge equipment of the salt thermal storage system according to the target time-domain width feature parameter, the target frequency-domain width feature parameter, the target time-domain steepness parameter and the target frequency-domain steepness parameter in the target four-dimensional space vector is to obtain the standard four-dimensional space vector of the partial discharge equipment of different molten salt thermal storage systems, and to determine the corresponding partial discharge equipment of the salt thermal storage system according to the comparison result of the target four-dimensional space vector and the standard four-dimensional space vector.

[0051] In some embodiments, in the case where it is determined that the salt heat storage system corresponds to a partial discharge device with discharge, the target four-dimensional space vector can be combined with the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter to adjust the electric device with discharge, so as to ensure the safety of the salt heat storage system.

[0052] The present application provides a partial discharge monitoring method of a molten salt heat storage system, acquires a time domain cumulative energy function and a frequency domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system, and determines a time domain width characteristic parameter and a time domain steepness parameter of the time domain cumulative energy function, and a frequency domain width characteristic parameter and a frequency domain steepness parameter of the frequency domain cumulative energy function according to a preset negative slope straight line and a definition domain corresponding to each of the time domain cumulative energy function and the frequency domain cumulative energy function. Then, a four-dimensional space vector composed of the time domain width characteristic parameter, the frequency domain width characteristic parameter, the time domain steepness parameter and the frequency domain steepness parameter is clustered, so as to determine a partial discharge device of the salt heat storage system according to a target four-dimensional space vector after clustering. Thus, the dynamic monitoring of the partial discharge device is realized based on the target four-dimensional space vector, and the reliability of the molten salt heat storage system is improved.

[0053] Figure 3 FIG. 2 is a flowchart of another partial discharge monitoring method of a molten salt heat storage system of an apparatus provided by an embodiment of the present application.

[0054] As shown in FIG. 3, the partial discharge monitoring method of the molten salt heat storage system of the apparatus can include the following steps. Figure 3

[0055] Step 301: Acquire a trigger time sequence corresponding to a partial discharge signal, and acquire a collection time sequence corresponding to the partial discharge signal.

[0056] In some embodiments, the trigger time sequence corresponding to the partial discharge signal can be a time sequence composed of trigger moments of the partial discharge signal.

[0057] In some embodiments, the collection time sequence corresponding to the partial discharge signal can be a time sequence corresponding to the time when the sensor in the molten salt heat storage system collects the partial discharge signal.

[0058] Step 302: Take the difference between the trigger time sequence and the collection time sequence as a time sequence of the partial discharge signal.

[0059] In some embodiments, since the partial discharge signal of the molten salt heat storage system is random, the partial discharge signal can be time compensated due to the randomness. Specifically, the first sampling point with ET>20 is taken as the collection time sequence t k ​The 0 moment of the compensation signal is transformed, and the calculation method is:

[0060] t k = t i -t s

[0061] Wherein, ET is the sampling point of collecting the partial discharge signal, t i is the trigger time sequence, t k is the time sequence after time compensation.

[0062] Step 303, acquiring the partial discharge signal collected by the molten salt heat storage system under the time sequence, and extracting the single signal waveform from the partial discharge signal.

[0063] In some embodiments, the single signal waveform extracted from the partial discharge signal can be v(t i )(i=1, 2, …, N), wherein N is the number of sampling points.

[0064] Step 304, according to the single signal waveform, the time domain cumulative energy function and the frequency domain cumulative energy function corresponding to the partial discharge signal are determined.

[0065] In some embodiments, according to the single signal waveform, the calculation method of the time domain cumulative energy function ET(tk) and the frequency domain cumulative energy function EF(fk) corresponding to the partial discharge signal can be:

[0066]

[0067]

[0068] Wherein, F(fi) is the frequency spectrum obtained by fast Fourier transform of v(ti), ET(tk) is the cumulative energy to tk moment, and EF(fk) is the cumulative energy to frequency fk.

[0069] Step 305, according to the preset negative slope straight line corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function respectively, the time domain width characteristic parameter corresponding to the time domain cumulative energy function and the frequency domain width characteristic parameter corresponding to the frequency domain cumulative energy function are determined.

[0070] Step 306, according to the definition domain corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function respectively, the time domain steepness parameter corresponding to the time domain cumulative energy function and the frequency domain steepness parameter corresponding to the frequency domain cumulative energy function are determined.

[0071] Step 307, the four-dimensional space vector composed of the time domain width characteristic parameter, the frequency domain width characteristic parameter, the time domain steepness parameter and the frequency domain steepness parameter is clustered by density clustering algorithm, to obtain the target four-dimensional space vector after clustering.

[0072] In step 308, the partial discharge equipment of the molten salt heat storage system is determined according to the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter in the target four-dimensional space vector.

[0073] It should be noted that the specific implementation of steps 305 to 308 can be referred to the related description in the above embodiments.

[0074] The application provides a partial discharge monitoring method of a molten salt heat storage system. The triggering time sequence corresponding to the partial discharge signal is obtained, and the acquisition time sequence corresponding to the acquisition of the partial discharge signal is collected. The difference between the triggering time sequence and the acquisition time sequence is taken as the time sequence of the partial discharge signal. The partial discharge signal of the molten salt heat storage system is acquired under the time sequence, and the single signal waveform is extracted from the partial discharge signal. According to the single signal waveform, the time domain cumulative energy function and the frequency domain cumulative energy function corresponding to the partial discharge signal are determined. According to the preset negative slope straight line and the definition domain corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function, the time domain width characteristic parameter and the time domain steepness parameter of the time domain cumulative energy function, and the frequency domain width characteristic parameter and the frequency domain steepness parameter of the frequency domain cumulative energy function are determined. The four-dimensional space vector composed of the time domain width characteristic parameter, the frequency domain width characteristic parameter, the time domain steepness parameter and the frequency domain steepness parameter is clustered. The partial discharge equipment of the molten salt heat storage system is determined according to the target four-dimensional space vector after clustering. Thus, the time compensation of the partial discharge signal is performed, the accuracy of the time domain cumulative energy function and the frequency domain cumulative energy function is improved, and the dynamic monitoring of the partial discharge equipment is realized.

[0075] Figure 4 FIG. 4 is a flow diagram of another partial discharge monitoring method of a molten salt heat storage system of an equipment provided by an embodiment of the application.

[0076] In step 401, the time domain cumulative energy function and the frequency domain cumulative energy function corresponding to the partial discharge signal of the molten salt heat storage system are acquired.

[0077] It should be noted that the specific implementation of step 401 can be referred to the related description in the above embodiments.

[0078] In step 402, the slope and the intercept of the preset negative slope straight line corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function are acquired, and the preset negative slope straight line is determined according to the slope and the intercept.

[0079] In some embodiments, the slope A and the intercept b of the preset negative slope straight line corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function can be set by a relevant technical person, but are not limited thereto.

[0080] In some embodiments, after determining the preset negative slope straight line according to the slope A and the intercept b, the preset negative slope straight line intercepts the time domain cumulative energy function and the frequency domain cumulative energy function to obtain respective corresponding graphs. Specifically, taking the preset negative slope straight line intercepting the time domain cumulative energy function as an example, as shown in FIG. 6, a schematic diagram of intercepting the preset negative slope straight line and the time domain cumulative energy function graph is obtained to accurately determine the time domain width characteristic parameter corresponding to the time domain cumulative energy function. Figure 5

[0081] Step 403: Two candidate partial discharge signals on both sides of the preset negative slope straight line are obtained.

[0082] In some embodiments, the two candidate partial discharge signals on both sides of the preset negative slope straight line can be two candidate partial discharge signals (tk, Ek) and (tk+1, Ek+1) adjacent to tk at the time tk.

[0083] Step 404: According to the slope, the intercept, and the two candidate partial discharge signals, the time domain intersection and the frequency domain intersection corresponding to the preset negative slope straight line and the time domain cumulative energy function and the frequency domain cumulative energy function are determined.

[0084] In some embodiments, taking the calculation method of the time domain intersection (τ i ,Ii) as an example, specifically, the time domain intersection (τ i ,Ii) can be calculated through the slope, the intercept, and the two candidate partial discharge signals. The calculation method can be:

[0085]

[0086] I i =A*τ i +b

[0087] Wherein, i=1, 2, …, M, and M is the number of partial discharge signals.

[0088] Wherein, the calculation method of the frequency domain intersection is similar to that of the time domain intersection (τ i ,Ii), which is not described here.

[0089] Step 405: The time domain intersection and the frequency domain intersection are subjected to coordinate rotation to obtain the time domain width characteristic parameter corresponding to the time domain cumulative energy function and the frequency domain width characteristic parameter corresponding to the frequency domain cumulative energy function.

[0090] In some embodiments, taking the coordinate rotation of the time domain intersection (τ i ,Ii) as an example, specifically, the time domain intersection (τ i ,Ii) can be subjected to coordinate rotation in combination with the linear relationship between τ i ​Ii) coordinate rotation is performed to obtain a time-domain width characteristic parameter Tw,i, wherein the coordinate rotation can be calculated in the following manner:

[0091] θ = tan -1 (-A)

[0092]

[0093] wherein θ is a coordinate system rotation angle, (∑ i τ i / M,∑ i I i / M) is an average value of intersection points of all partial discharge signal signal ET curves and a preset negative slope straight line, and is set as a center of coordinate rotation.

[0094] wherein the calculation manner of the frequency-domain width characteristic parameter Fw,i is similar to that of the time-domain width characteristic parameter Tw,i, and will not be repeated here.

[0095] Step 406, according to the respective definition domains of the time-domain cumulative energy function and the frequency-domain cumulative energy function, a time-domain steepness parameter corresponding to the time-domain cumulative energy function and a frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function are determined.

[0096] Step 407, a density clustering algorithm is used to cluster a four-dimensional space vector composed of the time-domain width characteristic parameter, the frequency-domain width characteristic parameter, the time-domain steepness parameter and the frequency-domain steepness parameter, to obtain a target four-dimensional space vector after clustering.

[0097] Step 408, according to the target time-domain width characteristic parameter, the target frequency-domain width characteristic parameter, the target time-domain steepness parameter and the target frequency-domain steepness parameter in the target four-dimensional space vector, a partial discharge device of the salt heat storage system is determined.

[0098] The application provides a partial discharge monitoring method of a molten salt heat storage system, acquires a time domain cumulative energy function and a frequency domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system, acquires a slope and an intercept corresponding to a preset negative slope straight line, determines the preset negative slope straight line according to the slope and the intercept, acquires two candidate partial discharge signals on both sides of the preset negative slope straight line, determines a time domain intersection point and a frequency domain intersection point corresponding to the preset negative slope straight line, the time domain cumulative energy function and the frequency domain cumulative energy function according to the slope, the intercept and the candidate partial discharge signals, performs coordinate rotation on the time domain intersection point and the frequency domain intersection point to obtain a time domain width characteristic parameter corresponding to the time domain cumulative energy function and a frequency domain width characteristic parameter corresponding to the frequency domain cumulative energy function, determines a time domain steepness parameter corresponding to the time domain cumulative energy function and a frequency domain steepness parameter corresponding to the frequency domain cumulative energy function according to respective definition domains of the time domain cumulative energy function and the frequency domain cumulative energy function, and performs clustering on a four-dimensional space vector composed of the time domain width characteristic parameter, the frequency domain width characteristic parameter, the time domain steepness parameter and the frequency domain steepness parameter, so as to determine a partial discharge device of the salt heat storage system according to a target four-dimensional space vector after clustering. Thus, the time domain cumulative energy function and the frequency domain cumulative energy function are intercepted based on the preset slope straight line, so as to improve the analyzability of the time domain width characteristic parameter and the frequency domain width characteristic parameter.

[0099] Figure 6 FIG. 2 is a flowchart of another partial discharge monitoring method of a molten salt heat storage system of an apparatus provided by an embodiment of the application.

[0100] In step 601, a time domain cumulative energy function and a frequency domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system are acquired.

[0101] In step 602, a time domain width characteristic parameter corresponding to the time domain cumulative energy function and a frequency domain width characteristic parameter corresponding to the frequency domain cumulative energy function are determined according to respective preset negative slope straight lines of the time domain cumulative energy function and the frequency domain cumulative energy function.

[0102] It should be noted that the specific implementation of steps 601 to 602 can be understood in the light of the above description of the embodiments.

[0103] In step 603, a definition domain of each of the time domain cumulative energy function and the frequency domain cumulative energy function is subjected to erosion and expansion processing to obtain a structural element corresponding to each of the time domain cumulative energy function and the frequency domain cumulative energy function.

[0104] In some embodiments, the definition domain of the time domain cumulative energy function can be {1, 2, …, N}, and the definition domain of the frequency domain cumulative energy function can be {1, 2, …, N / 2}.

[0105] In some embodiments, the erosion and expansion processing of the time-domain cumulative energy function E can be taken as an example, specifically, the time-domain cumulative energy function E is calculated with respect to the expansion and erosion of the structural element g, which can be:

[0106]

[0107]

[0108] wherein DE and Dg are the definition domains of the time-domain cumulative energy function E and the structural element g respectively.

[0109] wherein the structural element corresponding to the frequency-domain cumulative energy function is calculated in the same way as the structural element g of the time-domain cumulative energy function, which is not described here.

[0110] Step 604, according to the length of the structural element, the time-domain steepness parameter corresponding to the time-domain cumulative energy function and the frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function are determined.

[0111] In some embodiments, taking the length of the structural element g of the time-domain cumulative energy function as an example, the calculation method of the time-domain steepness parameter corresponding to the time-domain cumulative energy function can be:

[0112]

[0113] wherein the time-domain steepness parameter is only related to the length of the structural element.

[0114] wherein the calculation method of the frequency-domain steepness parameter is the same as that of the time-domain steepness parameter, which is not described here.

[0115] Step 605, the four-dimensional space vector composed of the time-domain width feature parameter, the frequency-domain width feature parameter, the time-domain steepness parameter and the frequency-domain steepness parameter is clustered by a density clustering algorithm to obtain a target four-dimensional space vector after clustering.

[0116] Step 606, according to the target time-domain width feature parameter, the target frequency-domain width feature parameter, the target time-domain steepness parameter and the target frequency-domain steepness parameter in the target four-dimensional space vector, the partial discharge equipment of the salt heat storage system is determined.

[0117] The application provides a partial discharge monitoring method of a molten salt heat storage system, time domain cumulative energy functions and frequency domain cumulative energy functions corresponding to a partial discharge signal of the molten salt heat storage system are obtained, time domain width characteristic parameters corresponding to the time domain cumulative energy functions and frequency domain width characteristic parameters corresponding to the frequency domain cumulative energy functions are determined according to preset negative slope straight lines corresponding to the time domain cumulative energy functions and the frequency domain cumulative energy functions, the definition domains of the time domain cumulative energy functions and the frequency domain cumulative energy functions are corroded and expanded to obtain structure elements corresponding to the time domain cumulative energy functions and the frequency domain cumulative energy functions respectively, time domain steepness parameters corresponding to the time domain cumulative energy functions and frequency domain steepness parameters corresponding to the frequency domain cumulative energy functions are determined according to the lengths of the structure elements, and a four-dimensional space vector composed of the time domain width characteristic parameters, the frequency domain width characteristic parameters, the time domain steepness parameters and the frequency domain steepness parameters is clustered to determine a partial discharge device of the molten salt heat storage system according to a target four-dimensional space vector after clustering. Thus, the time domain steepness parameters corresponding to the time domain cumulative energy functions and the frequency domain steepness parameters corresponding to the frequency domain cumulative energy functions are accurately determined based on the structure elements of the time domain cumulative energy functions and the frequency domain cumulative energy functions, and the influence of partial discharge signal noise on the time domain steepness parameters and the frequency domain steepness parameters is reduced.

[0118] Figure 7 FIG. 1 is a flow diagram of a partial discharge monitoring method of a molten salt heat storage system of another device provided by an embodiment of the application.

[0119] In step 701, time domain cumulative energy functions and frequency domain cumulative energy functions corresponding to a partial discharge signal of a molten salt heat storage system are obtained.

[0120] In step 702, time domain width characteristic parameters corresponding to the time domain cumulative energy functions and frequency domain width characteristic parameters corresponding to the frequency domain cumulative energy functions are determined according to preset negative slope straight lines corresponding to the time domain cumulative energy functions and the frequency domain cumulative energy functions.

[0121] In step 703, time domain steepness parameters corresponding to the time domain cumulative energy functions and frequency domain steepness parameters corresponding to the frequency domain cumulative energy functions are determined according to definition domains corresponding to the time domain cumulative energy functions and the frequency domain cumulative energy functions.

[0122] In step 704, time domain density functions and frequency domain density functions corresponding to the time domain width characteristic parameters and the frequency domain width characteristic parameters in a density clustering algorithm are obtained.

[0123] In some embodiments, the time domain density functions f(T w ) can be determined according to the time domain width characteristic parameters Tw, and the frequency domain density functions f(f w ) can be determined according to the frequency domain width characteristic parameters Tw.

[0124]

[0125] wherein Tw,i is the time-domain width characteristic parameter of the ith partial discharge signal, and σ reflects the influence of the partial discharge signal in its neighborhood, and can be set to 1, and the greater σ is, the greater the influence is.

[0126] wherein the time-domain density function and the frequency-domain density function are calculated in the same way, which is not described here.

[0127] In step 705, the separation indexes of the time-domain width characteristic parameter and the frequency-domain width characteristic parameter are determined according to the peak value number, the peak value and the peak-valley value corresponding to the time-domain density function and the frequency-domain density function respectively.

[0128] In some embodiments, the separation indexes of the time-domain width characteristic parameter can be described as an example, specifically, the range of [min(T w ),max(T w )] can be divided into TN nodes, the time-domain density function of all nodes is calculated, and then the curve of the time-domain density function f(T w ) is drawn, in order to remove the influence of the size of the time-domain density function value, f(T w ) can be normalized to the range of 0-1, as shown in Figure 8 Figure 8 is the f(T w ) curve calculated by the time-domain density function, the peak points in the figure correspond to the centers of each class, and the peak-valley points correspond to the separation area between each class, the greater the peak value is, the better the intra-class clustering is, and the lower the peak-valley value is, the better the separation between each class is. In order to obtain the separation index of the time-domain width characteristic parameter, the following separation indexes are defined:

[0129]

[0130] wherein Pi is the ith peak value of the f(T w ) curve, V i is the ith peak-valley value, NP is the peak value number, and the peak value number is 1 more than the peak-valley number.

[0131] In other embodiments, the calculation of the peak value number can use the alternating ascending hill-climbing method and descending valley method, specifically, when the difference between a peak-valley and one of the two adjacent peak values is less than a preset threshold, which can be 0.1, the peak-valley is defined as a secondary peak-valley, and the smaller peak value adjacent to the secondary peak-valley is defined as a secondary peak value, and the secondary peak-valley and the secondary peak value are removed to determine all the peak values and the peak-valleys.

[0132] wherein the calculation of the separation index of the time-domain width characteristic parameter and the separation index of the frequency-domain width characteristic parameter is the same, which is not described here.

[0133] ​At step 706, the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter corresponding to the maximum separation index are obtained.

[0134] In some embodiments, the time domain width characteristic parameter corresponding to the time domain cumulative energy function and the frequency domain width characteristic parameter corresponding to the frequency domain cumulative energy function can be calculated by the intercept b and the slope A of the preset negative slope straight line, and the respective separation index can be determined according to the time domain density function and the frequency domain density function corresponding to the time domain width characteristic parameter and the frequency domain width characteristic parameter. Therefore, a plurality of time domain width characteristic parameters and frequency domain width characteristic parameters can be obtained by fixing the slope A and adjusting the intercept b, and then a plurality of separation indexes can be obtained, so as to select the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter corresponding to the maximum separation index.

[0135] Specifically, taking the preset negative slope straight line intersecting the time domain cumulative energy function as an example, the slope A is taken as a fixed value, and the calculation formula is as follows:

[0136] A = -95 / M t95

[0137] Where t95 is the first partial discharge signal time of ET≥95, and Mt95 is the average value of all partial discharge signal t95.

[0138] The equation of the preset negative slope straight line can be:

[0139]

[0140] Where the intersection points of the preset negative slope straight line with the leftmost and rightmost of ET are (0, 0) and (M t 95, 95) respectively, and the value range of the intercept b can be 0-200.

[0141] In summary, based on the maximum separation index, the intercept of the corresponding preset negative slope straight line, and the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter are obtained.

[0142] Where the target time domain steepness parameter and the target frequency domain steepness parameter can be the maximum value of the time domain steepness parameter and the frequency domain steepness parameter, and the calculation method can be:

[0143] ξ T = max{mg T}

[0144] ξ F = max{mg F}

[0145] Step 707, the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter are combined to form a target four-dimensional space vector.

[0146] Step 708, according to the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter in the target four-dimensional space vector, the partial discharge equipment of the molten salt heat storage system is determined.

[0147] The application provides a partial discharge monitoring method of a molten salt heat storage system. The time domain cumulative energy function and the frequency domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system are obtained, and the time domain width characteristic parameter and the time domain steepness parameter of the time domain cumulative energy function and the frequency domain width characteristic parameter and the frequency domain steepness parameter of the frequency domain cumulative energy function are determined according to the preset negative slope straight line and the definition domain corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function respectively. The time domain density function and the frequency domain density function corresponding to the time domain width characteristic parameter and the frequency domain width characteristic parameter in the density clustering algorithm are obtained, the separation index corresponding to the time domain width characteristic parameter and the frequency domain width characteristic parameter is determined according to the peak value number, the peak value and the peak-valley value corresponding to the time domain density function and the frequency domain density function respectively, the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter corresponding to the maximum separation index are obtained, the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter are combined to form a target four-dimensional space vector, and the partial discharge equipment of the molten salt heat storage system is determined according to the clustered target four-dimensional space vector. Therefore, the multi-source separation of the partial discharge signal is realized based on the target four-dimensional space vector, and the reliability of the molten salt heat storage system is improved.

[0148] In some embodiments, as shown in Figure 9 Another flowchart of the partial discharge monitoring method of the molten salt heat storage system is provided in the embodiments of the application, specifically, the time domain and frequency domain cumulative energy functions ET(tk) and EF(fk) of the partial discharge signal of the molten salt heat storage system are calculated, the starting time of the partial discharge signal is determined by taking ET=20, time compensation is performed, the slope A of the preset slope straight line and the set intercept B set are determined, the intercept B set is traversed, the corresponding four-dimensional space characteristic vector X is calculated, the DBSCAN algorithm is used for clustering, the multi-source separation index is obtained, the intercept B corresponding to the maximum separation index and the target four-dimensional space vector formed by the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter are selected, and finally the partial discharge equipment is accurately identified and guided for maintenance.

[0149] It can be understood that the application also proposes a schematic diagram of a molten salt heat storage device, as shown in Figure 10 The above molten salt heat storage system can be arranged in a molten salt heat storage device. Specifically, the molten salt heat storage device can include an electric heating system, a high-temperature molten salt tank, a steam generation system, a low-temperature molten salt tank, and an industrial steam supply system. The partial discharge monitoring method of the molten salt heat storage system can monitor all devices in the above molten salt heat storage device.

[0150] Figure 11 is a structural schematic diagram of a partial discharge monitoring device of a molten salt heat storage system of an equipment provided by an embodiment of the application.

[0151] As shown in Figure 11 The partial discharge monitoring device 1100 of the molten salt heat storage system of the equipment includes:

[0152] The acquisition module 1101 is configured to acquire a time-domain cumulative energy function and a frequency-domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system.

[0153] The first determination module 1102 is configured to determine a time-domain width characteristic parameter corresponding to the time-domain cumulative energy function and a frequency-domain width characteristic parameter corresponding to the frequency-domain cumulative energy function according to a preset negative slope straight line corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function.

[0154] The second determination module 1103 is configured to determine a time-domain steepness parameter corresponding to the time-domain cumulative energy function and a frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function according to a definition domain corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function.

[0155] The clustering module 1104 is configured to perform clustering on a four-dimensional space vector composed of the time-domain width characteristic parameter, the frequency-domain width characteristic parameter, the time-domain steepness parameter, and the frequency-domain steepness parameter by using a density clustering algorithm to obtain a target four-dimensional space vector after clustering.

[0156] The third determination module 1105 is configured to determine a partial discharge device of the molten salt heat storage system according to a target time-domain width characteristic parameter, a target frequency-domain width characteristic parameter, a target time-domain steepness parameter, and a target frequency-domain steepness parameter in the target four-dimensional space vector.

[0157] In an embodiment of the application, the acquisition module 1101 is specifically configured to:

[0158] acquire a trigger time sequence corresponding to the partial discharge signal, and acquire a collection time sequence corresponding to the collection of the partial discharge signal.

[0159] The difference between the trigger time sequence and the collection time sequence is taken as a time sequence of the partial discharge signal.

[0160] Obtain the partial discharge signals collected by the molten salt heat storage system in a time sequence, and extract single signal waveforms from the partial discharge signals.

[0161] According to the single signal waveforms, time-domain cumulative energy functions and frequency-domain cumulative energy functions corresponding to the partial discharge signals are determined.

[0162] In an embodiment of the present application, the first determination module 1102 is specifically configured to:

[0163] Obtain the slope and intercept of the preset negative slope straight line corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function, and determine the preset negative slope straight line according to the slope and the intercept.

[0164] Obtain two candidate partial discharge signals on both sides of the preset negative slope straight line.

[0165] According to the slope, the intercept and the two candidate partial discharge signals, time-domain intersection points and frequency-domain intersection points of the preset negative slope straight line and the time-domain cumulative energy function and the frequency-domain cumulative energy function are determined.

[0166] The time-domain intersection points and the frequency-domain intersection points are subjected to coordinate rotation to obtain a time-domain width characteristic parameter corresponding to the time-domain cumulative energy function and a frequency-domain width characteristic parameter corresponding to the frequency-domain cumulative energy function.

[0167] In an embodiment of the present application, the second determination module 1103 is specifically configured to:

[0168] The definition domains corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function are subjected to erosion and inflation processing to obtain structural elements corresponding to each of the time-domain cumulative energy function and the frequency-domain cumulative energy function.

[0169] According to the length of the structural elements, a time-domain steepness parameter corresponding to the time-domain cumulative energy function and a frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function are determined.

[0170] In an embodiment of the present application, the clustering module 1104 is specifically configured to:

[0171] Obtain time-domain density functions and frequency-domain density functions corresponding to the time-domain width characteristic parameter and the frequency-domain width characteristic parameter in the density clustering algorithm.

[0172] According to the peak value number, the peak value and the peak-valley value corresponding to each of the time-domain density functions and the frequency-domain density functions, separate indexes corresponding to each of the time-domain width characteristic parameter and the frequency-domain width characteristic parameter are determined.

[0173] Obtain target time-domain width characteristic parameters, target frequency-domain width characteristic parameters, target time-domain steepness parameters and target frequency-domain steepness parameters corresponding to the maximum of the separate indexes.

[0174] The target four-dimensional space vector is composed of the target time domain width characteristic parameter, the target frequency domain width characteristic parameter, the target time domain steepness parameter and the target frequency domain steepness parameter.

[0175] The application provides a partial discharge monitoring device of a molten salt heat storage system and a partial discharge monitoring method of the molten salt heat storage system. The time domain cumulative energy function and the frequency domain cumulative energy function corresponding to the partial discharge signal of the molten salt heat storage system are obtained, and the time domain width characteristic parameter and the time domain steepness parameter of the time domain cumulative energy function and the frequency domain width characteristic parameter and the frequency domain steepness parameter of the frequency domain cumulative energy function are determined according to the preset negative slope straight line and the definition domain corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function. The four-dimensional space vector composed of the time domain width characteristic parameter, the frequency domain width characteristic parameter, the time domain steepness parameter and the frequency domain steepness parameter is clustered, and the target four-dimensional space vector after clustering is used to determine the partial discharge equipment of the salt heat storage system. Therefore, the target four-dimensional space vector is used to realize dynamic monitoring of the partial discharge equipment and improve the reliability of the molten salt heat storage system.

[0176] As shown in FIG. 1, which is a block diagram of an electronic device according to an embodiment of the present application. Figure 12 As shown in FIG. 1, which is a block diagram of an electronic device according to an embodiment of the present application.

[0177] As shown in FIG. 1, which is a block diagram of an electronic device according to an embodiment of the present application. Figure 12 As shown in FIG. 1, which is a block diagram of an electronic device according to an embodiment of the present application.

[0178] The memory 1201, the monitor 1202 and the determination machine instructions stored in the memory 1201 and executable on the monitor 1202.

[0179] The monitor 1202 executes the instructions to implement the partial discharge monitoring method of the molten salt heat storage system provided in the above embodiments.

[0180] Further, the electronic device further comprises:

[0181] The communication interface 1203 is used for communication between the memory 1201 and the monitor 1202.

[0182] The memory 1201 is used to store the determination machine instructions executable on the monitor 1202.

[0183] The memory 1201 can include a high-speed RAM memory and can also include a non-volatile memory, such as at least one disk memory.

[0184] The monitor 1202 is used to execute the program to implement the partial discharge monitoring method of the molten salt heat storage system in the above embodiments.

[0185] If the memory 1201, the monitor 1202 and the communication interface 1203 are implemented independently, the communication interface 1203, the memory 1201 and the monitor 1202 can be connected with each other through a bus and complete communication between each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 12 Only one thick line is used to represent the bus in the figure, but it does not mean that there is only one bus or only one type of bus.

[0186] Optionally, in a specific implementation, if the memory 1201, the monitor 1202 and the communication interface 1203 are integrated on a chip to be implemented, the memory 1201, the monitor 1202 and the communication interface 1203 can complete communication between each other through an internal interface.

[0187] The monitor 1202 can be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present application.

[0188] In addition, the terms "first", "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "multiple" is at least two, for example, two, three, etc., unless otherwise explicitly and specifically limited.

[0189] In the description of the specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are contained in at least one embodiment or example of the present application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples without contradiction.

[0190] Although the embodiments of the present application have been shown and described above, it is understood that the above-described embodiments are exemplary and are not to be construed as limiting the present application, and the person skilled in the art can make changes, modifications, replacements and variations to the above-described embodiments within the scope of the present application.

Claims

1. A method of partial discharge monitoring of a molten salt thermal storage system, characterized in that, The method comprises: Obtaining the time-domain cumulative energy function and the frequency-domain cumulative energy function corresponding to the partial discharge signal of the molten salt thermal storage system; According to the preset negative slope straight line corresponding to the time-domain cumulative energy function and the frequency-domain cumulative energy function, the time-domain width characteristic parameter corresponding to the time-domain cumulative energy function and the frequency-domain width characteristic parameter corresponding to the frequency-domain cumulative energy function are determined; According to the definition domain corresponding to the time-domain cumulative energy function and the frequency-domain cumulative energy function, the time-domain steepness parameter corresponding to the time-domain cumulative energy function and the frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function are determined; The four-dimensional space vector composed of the time-domain width characteristic parameter, the frequency-domain width characteristic parameter, the time-domain steepness parameter and the frequency-domain steepness parameter is clustered by a density clustering algorithm to obtain a target four-dimensional space vector after clustering; According to the target time-domain width characteristic parameter, the target frequency-domain width characteristic parameter, the target time-domain steepness parameter and the target frequency-domain steepness parameter in the target four-dimensional space vector, the partial discharge equipment of the salt thermal storage system is determined; According to the preset negative slope straight line corresponding to the time-domain cumulative energy function and the frequency-domain cumulative energy function, the time-domain width characteristic parameter corresponding to the time-domain cumulative energy function and the frequency-domain width characteristic parameter corresponding to the frequency-domain cumulative energy function are determined, comprising: Obtaining the slope and intercept of the preset negative slope straight line corresponding to the time-domain cumulative energy function and the frequency-domain cumulative energy function, and determining the preset negative slope straight line according to the slope and the intercept; Obtaining two candidate partial discharge signals on both sides of the preset negative slope straight line; According to the slope, the intercept and the two candidate partial discharge signals, the time-domain intersection and the frequency-domain intersection corresponding to the preset negative slope straight line and the time-domain cumulative energy function and the frequency-domain cumulative energy function are determined; The time-domain intersection and the frequency-domain intersection are rotated in coordinates to obtain the time-domain width characteristic parameter corresponding to the time-domain cumulative energy function and the frequency-domain width characteristic parameter corresponding to the frequency-domain cumulative energy function.

2. The method of claim 1, wherein, The time-domain cumulative energy function and the frequency-domain cumulative energy function corresponding to the partial discharge signal of the molten salt thermal storage system are obtained, comprising: Obtaining the trigger time sequence corresponding to the partial discharge signal, and collecting the collection time sequence corresponding to the partial discharge signal; The difference between the trigger time sequence and the collection time sequence is taken as the time sequence of the partial discharge signal; Obtaining the partial discharge signal collected by the molten salt thermal storage system under the time sequence, and extracting the single signal waveform from the partial discharge signal; According to the single signal waveform, the time-domain cumulative energy function and the frequency-domain cumulative energy function corresponding to the partial discharge signal are determined.

3. The method of claim 1, wherein, According to the definition domain corresponding to the time-domain cumulative energy function and the frequency-domain cumulative energy function, the time-domain steepness parameter corresponding to the time-domain cumulative energy function and the frequency-domain steepness parameter corresponding to the frequency-domain cumulative energy function are determined, comprising: The definition domains corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function are respectively eroded and expanded to obtain structural elements corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function; According to the length of the structural element, a time domain steepness parameter corresponding to the time domain cumulative energy function and a frequency domain steepness parameter corresponding to the frequency domain cumulative energy function are determined.

4. The method of claim 1, wherein, The four-dimensional space vector composed of the time domain width feature parameter, the frequency domain width feature parameter, the time domain steepness parameter and the frequency domain steepness parameter is clustered by the density clustering algorithm to obtain a target four-dimensional space vector after clustering. The time domain density function and the frequency domain density function corresponding to the time domain width feature parameter and the frequency domain width feature parameter in the density clustering algorithm are obtained. According to the peak value number, the peak value and the peak valley value corresponding to the time domain density function and the frequency domain density function, a separation index corresponding to the time domain width feature parameter and the frequency domain width feature parameter is determined. When the separation index is maximum, the target time domain width feature parameter, the target frequency domain width feature parameter, the target time domain steepness parameter and the target frequency domain steepness parameter are obtained. The target time domain width feature parameter, the target frequency domain width feature parameter, the target time domain steepness parameter and the target frequency domain steepness parameter are combined to form a target four-dimensional space vector.

5. A partial discharge monitoring device for a molten salt thermal storage system, characterized in that, The device comprises: An acquisition module is configured to acquire a time domain cumulative energy function and a frequency domain cumulative energy function corresponding to a partial discharge signal of the molten salt heat storage system. A first determination module is configured to determine a time domain width feature parameter corresponding to the time domain cumulative energy function and a frequency domain width feature parameter corresponding to the frequency domain cumulative energy function according to a preset negative slope straight line corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function. A second determination module is configured to determine a time domain steepness parameter corresponding to the time domain cumulative energy function and a frequency domain steepness parameter corresponding to the frequency domain cumulative energy function according to a definition domain corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function. A clustering module is configured to cluster a four-dimensional space vector composed of the time domain width feature parameter, the frequency domain width feature parameter, the time domain steepness parameter and the frequency domain steepness parameter by a density clustering algorithm to obtain a target four-dimensional space vector after clustering. A third determination module is configured to determine a partial discharge device of the salt heat storage system according to a target time domain width feature parameter, a target frequency domain width feature parameter, a target time domain steepness parameter and a target frequency domain steepness parameter in the target four-dimensional space vector. The first determination module is specifically configured to: Obtain a slope and an intercept of a preset negative slope straight line corresponding to the time domain cumulative energy function and the frequency domain cumulative energy function, and determine the preset negative slope straight line according to the slope and the intercept. Obtain two candidate partial discharge signals on both sides of the preset negative slope straight line. According to the slope, the intercept and the two candidate partial discharge signals, a time domain intersection point and a frequency domain intersection point corresponding to the preset negative slope straight line and the time domain cumulative energy function and the frequency domain cumulative energy function are determined; The time domain intersection point and the frequency domain intersection point are subjected to coordinate rotation to obtain a time domain width characteristic parameter corresponding to the time domain cumulative energy function and a frequency domain width characteristic parameter corresponding to the frequency domain cumulative energy function.

6. The apparatus of claim 5, wherein, The acquisition module is specifically configured to: acquire a trigger time sequence corresponding to the partial discharge signal and a collection time sequence corresponding to the collection of the partial discharge signal; take a difference between the trigger time sequence and the collection time sequence as a time sequence of the partial discharge signal; acquire a partial discharge signal collected by the molten salt heat storage system under the time sequence and extract a single signal waveform from the partial discharge signal; determine the time domain cumulative energy function and the frequency domain cumulative energy function corresponding to the partial discharge signal according to the single signal waveform.

7. An electronic device, comprising: The method comprises: a memory, a monitor and a determination machine program stored in the memory and capable of running on the monitor, wherein the monitor implements the method according to any one of claims 1-4 when executing the program.

8. A deterministic machine-readable storage medium having a deterministic machine program stored thereon, characterized in that, The program is executed by the monitor to implement the method according to any one of claims 1-4.

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