Predictive control method for distributed photovoltaic power generation detection equipment

Abstract

A predictive control method for distributed photovoltaic power generation detection equipment, after sampling the irradiance and output power values ​​through a transmitter, obtains the irregular elements of the numerical values ​​by performing analysis on the data, performs analytical distortion on the irregular elements of the numerical values, reduces the disturbance of the source value noise disturbance to the distortion analysis, makes the prediction of transmitter failure more accurate, obtains the jump amplitude of each extreme value irregular element point in the irregular element of the irradiance through the slope of the irregular element point in the irregular element of the irradiance and the element value of the irregular element, and when obtaining the jump amplitude, the slope of the irregular element point is continuously changed through the analysis, so that the jump amplitude is more accurate, which can better reflect the jump characteristics of the irradiance sampled by the transmitter.

Description

Technical Field

[0001] The present invention belongs to the technical field of predictive control of distributed photovoltaic power generation detection equipment, and in particular relates to a predictive control method for distributed photovoltaic power generation detection equipment. Background Art

[0002] As mentioned in the patent application number "CN202210638050.7" and the patent name "A real-time monitoring method and system for distributed photovoltaic power generation", it is currently very important to monitor distributed photovoltaic power generation systems.

[0003] On the other hand, the monitoring of distributed photovoltaic power generation systems often requires the use of irradiance transmitters and output power transmitters connected to the controller to perform detection of the distributed photovoltaic power generation system. The irradiance transmitter is used to sample the irradiance of the photovoltaic components of the distributed photovoltaic power generation system and transmit it to the controller, and the output power transmitter is used to sample the output power value of the photovoltaic components of the distributed photovoltaic power generation system and transmit it to the controller.

[0004] Transmitter failure prediction is the key to ensuring the reliable monitoring of distributed photovoltaic power generation systems. When the transmitter fails, it often leads to inaccurate information sampling and control problems, which has an adverse effect on the monitoring function and stability of distributed photovoltaic power generation systems.

[0005] The information sampled by the transmitter is used to predict the failure of the transmitter. At present, the SEATS method is often used to separate and obtain the distortion value in the transmitter sampling information. However, external noise disturbance or changes in the number of users of the distributed photovoltaic power generation system will also cause changes in the transmitter sampling information, resulting in the value after the distortion value detection cannot accurately reflect the failure of the transmitter. Summary of the invention

[0006] In order to solve the defects in the prior art, the present invention proposes a predictive control method for distributed photovoltaic power generation detection equipment. After sampling the irradiance and output power values ​​through the transmitter, the irregular elements of the numerical values ​​are obtained by analyzing the data, and analytical distortion is performed on the irregular elements of the numerical values ​​to reduce the disturbance of the distortion analysis caused by the clutter in the source value, so that the prediction of transmitter failure is more accurate, and the jump amplitude of each extreme value irregular element point in the irregular element of the irradiance is obtained through the slope of the irregular element point in the irregular element of the irradiance and the element value of the irregular element. When obtaining the jump amplitude, the slope of the irregular element point is continuously changed by analyzing the change in the slope, so that the jump amplitude is more accurate, which can better reflect the irradiance sampled by the transmitter. The jump characteristics of illuminance are then combined with the series value array and the irregular element of the output power value to obtain the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance. Among them, the series value array of the extreme value irregular element point in the irregular element of irradiance sampled by the analytical transmitter well characterizes the shape formed by the connected lines of multiple continuous points at the extreme value irregular element point. The morphological distinctiveness of the extreme value irregular element point can be obtained by summing up the series value redundancy in the order of time points. In this way, the distortion of the irregular element point is obtained by combining the jump amplitude and the distinction amplitude, and the failure of the transmitter is identified, reducing the non-real distortion caused by user volume changes or noise disturbances, making the failure prediction of the transmitter more accurate.

[0007] The present invention uses the following technical solutions.

[0008] A predictive control method for distributed photovoltaic power generation detection equipment, comprising:

[0009] The irradiance transmitter samples the irradiance of the photovoltaic modules of the distributed photovoltaic power generation system and transmits it to the controller. The output power transmitter samples the output power value of the photovoltaic modules of the distributed photovoltaic power generation system and transmits it to the controller. The controller performs predictive control on the received irradiance and output power value.

[0010] The controller performs predictive control on the received irradiance and output power value, which includes:

[0011] Step 1: Receive the irradiance and output power values ​​of the photovoltaic components of the distributed photovoltaic power generation system sampled and transmitted by the irradiance transmitter and the output power transmitter respectively;

[0012] Step 2: Obtain the irregular elements of irradiance and the irregular elements of output power according to the irradiance and output power values; obtain multiple extreme value irregular element points in the irregular elements of irradiance according to the irregular elements of irradiance;

[0013] Step 3: Obtain the jump amplitude of each extreme value irregular element point in the irregular element of irradiance according to the slope of the irregular element point in the irregular element of irradiance and the element value of the irregular element; obtain the series value queue of each extreme value irregular element point in the irregular element of irradiance according to the slope of each extreme value irregular element point in the irregular element of irradiance; obtain the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance according to the series value queue of each extreme value irregular element point in the irregular element of irradiance, the element value of the irregular element and the irregular element of the output power value;

[0014] Step 4: According to the jump amplitude of each extreme value irregular element point in the irregular element of irradiance and the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance, the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained to identify the failure of the transmitter.

[0015] Preferably, in Step 1, the irradiance and output power values ​​are two-level queue values ​​and the number of queue elements of the irradiance and output power values ​​is the same, each type of queue value contains multiple information points, the value on the X-axis of the irradiance information point on the Cartesian system is a different sampling time point, the value on the Y-axis of the irradiance information point on the Cartesian system is the irradiance value corresponding to each sampling time point, the value on the X-axis of the output power value information point on the Cartesian system is a different sampling time point, and the value on the Y-axis of the output power value information point on the Cartesian system is the output power value corresponding to each sampling time point.

[0016] Preferably, in Step 2, the irregular elements of the irradiance and the irregular elements of the output power are obtained according to the irradiance and the output power value, which includes:

[0017] The irradiance is sent to the SEATS method to calculate the irregular elements of the irradiance; the output power value is sent to the SEATS method to calculate the irregular elements of the output power value.

[0018] Preferably, in Step 2, a plurality of extreme value irregular element points in the irregular element of irradiance are obtained according to the irregular element of irradiance, which includes:

[0019] Define the irregular element of irradiance as irregular element 1; define the element value modulus of the irregular element point in irregular element 1 as irregular element 1. The irregular feature point of is regarded as the extreme value irregular feature point of irregular feature 1. It is the variance of the modulus of the element values ​​of all irregular elements within irregular element one.

[0020] Preferably, the irregular element contains a plurality of irregular element points and a mean line, and each irregular element point corresponds to an element value of the irregular element.

[0021] Preferably, in Step 3, the jump amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained according to the slope of the irregular element point in the irregular element of irradiance and the element value of the irregular element, which includes:

[0022] Define any extreme value irregular element point in irregular element 1 as the target extreme value irregular element point; define the point after the target extreme value irregular element point in irregular element 1 as the target extreme value irregular element point. A group of irregular feature points is defined as group 1, and multiple sinking value points in irregular feature 1 are obtained; then the following equation is executed:

[0023]

[0024] In the equation, Is the first The slope of the irregular feature point, For group one The slope of the irregular feature point, Is the first The number of feature points between the irregular feature point and the target extreme value irregular feature point, is the number of irregular feature points in group 1, z is the element value of the irregular feature of the target extreme value irregular feature point, It is the element value of the irregular element with the shortest sinking value point within the irregular element. It is the distance on the X-axis between the shortest sinking value point on the left side of the target extreme value irregular element point in the irregular element 1 and the shortest sinking value point on the right side of the irregular element. It is the jump amplitude of the target extreme value irregular element point.

[0025] Preferably, is a predefined value of one. The value of is four.

[0026] Preferably, in Step 3, a series value queue of each extreme value irregular element point in the irregular element of irradiance is obtained according to the slope of each extreme value irregular element point in the irregular element of irradiance, which includes:

[0027] Use the target extreme value irregular element point as the midpoint to construct a Cartesian system, and cut the right part of the Y axis of the Cartesian system into space, is a predefined value. The possible value is twelve. The spaces are numbered continuously from right to left in a sequentially increasing order. The obtained values ​​are regarded as the serial values ​​of each space. The serial values ​​of the space where the tangent value of the corresponding arc represented by the slope of the target extreme value irregular element point is located are regarded as the serial values ​​of the target extreme value irregular element point. The irregular element point with the shortest horizontal axis spacing and opposite slope sign to the target extreme value irregular element point is obtained on the left side of the target extreme value irregular element point, and is defined as irregular element point one. The irregular element point with the shortest X-axis spacing and opposite slope sign to the target extreme value irregular element point is obtained on the right side of the target extreme value irregular element point, and is defined as irregular element point two. The spatial range formed by the irregular element point and the irregular element point two is defined as spatial range one. The queue formed by the serial values ​​of all irregular element points in spatial range one is defined as the serial value queue of the target extreme value irregular element point.

[0028] Preferably, in Step 3, according to the series value queue of each extreme value irregular element point in the irregular element of irradiance, the element value of the irregular element and the irregular element of the output power value, the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained, which includes:

[0029] Define the irregular factor of the output power value as irregular factor 2, and then execute the following equation:

[0030]

[0031] In the equation, The value of is: in the series value queue of all extreme value irregular element points other than the target extreme value irregular element point, the number of series value queues that are consistent with the series value queue of the target extreme value irregular element point is defined as , is the number of extreme value irregular feature points within irregular feature 1; is the near-domain aggregation degree of the target extreme value irregular feature point, The value of is: Get all the peak value points in the irregular element one, take the mean of the modulus of the element values ​​of the irregular elements of all the peak value points as the span of any extreme value irregular element point in the irregular element one, and define it as , take the extreme value irregular element point as the origin and the span is The number of irregular feature points in the range is defined as ; is the benchmark near-domain aggregation degree of the target extreme value irregular feature point, The value of is: Get all the peak value points in the irregular element 2, take the mean of the modulus of the element values ​​of the irregular elements of all the peak value points as the span of any extreme value irregular element point in the irregular element 2, and define it as , obtain the irregular element point with the same serial number as the target extreme value irregular element point in the irregular element 2, define it as the reference extreme value irregular element point, and define the number of irregular element points in the range with the reference extreme value irregular element point as the origin and the span R2 as ; is the element value of the irregular feature of the target extreme value irregular feature point, is the element value of the irregular feature at the base extreme value irregular feature point, It is the discrimination amplitude of the target extreme value irregular feature points.

[0032] Preferably, in Step 4, the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained according to the jump amplitude of each extreme value irregular element point in the irregular element of irradiance and the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance, and the calculation equation is:

[0033]

[0034] In the equation, is the jump amplitude of the target extreme value irregular element point, is the discrimination amplitude of the target extreme value irregular feature points, The Z-score method is used to Execute standardization, It is the distortion amplitude of the target extreme value irregular feature point.

[0035] Preferably, in Step 4, the failure of the transmitter is determined according to the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance, which includes:

[0036] Define a critical value in advance, defined as , whose value is two-fifths, if , the target extreme value irregular feature point is the non-distorted irregular feature point of irregular feature 1, and no analysis is performed afterwards. The purpose is that the extreme value irregular element point is the distortion irregular element point of irregular element one; the corresponding information point of the distortion irregular element point in the irregular element one in the irradiance is regarded as the distortion value point. If there is a distortion value point in the irradiance, the transmitter will fail. If there is no distortion value point in the irradiance, the transmitter will not fail.

[0037] A predictive control device for distributed photovoltaic power generation detection equipment, comprising:

[0038] The irradiance transmitter and output power transmitter connected to the controller are used to perform detection of the distributed photovoltaic power generation system. The irradiance transmitter is used to sample the irradiance of the photovoltaic components of the distributed photovoltaic power generation system and transmit it to the controller. The output power transmitter is used to sample the output power value of the photovoltaic components of the distributed photovoltaic power generation system and transmit it to the controller.

[0039] The modules running on the controller include:

[0040] A receiving module, which is used to receive the irradiance and output power values ​​of the photovoltaic components of the distributed photovoltaic power generation system sampled and transmitted by the irradiance transmitter and the output power transmitter respectively;

[0041] An acquisition module is used to acquire irregular elements of irradiance and irregular elements of output power value according to irradiance and output power value; and to acquire a plurality of extreme value irregular element points in the irregular elements of irradiance according to the irregular elements of irradiance;

[0042] A distinguishing module, which is used to obtain the jump amplitude of each extreme value irregular element point in the irregular element of irradiance according to the slope of the irregular element point in the irregular element of irradiance and the element value of the irregular element; obtain the series value queue of each extreme value irregular element point in the irregular element of irradiance according to the slope of each extreme value irregular element point in the irregular element of irradiance; obtain the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance according to the series value queue of each extreme value irregular element point in the irregular element of irradiance, the element value of the irregular element and the irregular element of the output power value;

[0043] The identification module is used to obtain the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance based on the jump amplitude of each extreme value irregular element point in the irregular element of irradiance and the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance, so as to identify the failure of the transmitter.

[0044] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0045] After the transmitter samples the irradiance and output power values, the irregular elements of the values ​​are obtained by analyzing the data, and the distortion of the irregular elements of the values ​​is analyzed to reduce the interference of the source value noise interference on the distortion analysis, so that the prediction of the transmitter failure is more accurate. The slope of the irregular element point in the irregular element of the irradiance and the element value of the irregular element are used to obtain the jump amplitude of each extreme value irregular element point in the irregular element of the irradiance. When obtaining the jump amplitude, the slope of the irregular element point is continuously changed to make the jump amplitude more accurate, which can better reflect the jump characteristics of the irradiance sampled by the transmitter, and then the series value queue and output power are combined. The irregular element of the rate value is used to obtain the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance, among which the series value sequence of the extreme value irregular element point in the irregular element of irradiance sampled by the analytical transmitter well characterizes the shape formed by the connected lines of multiple continuous points at the extreme value irregular element point, and the morphological distinctiveness of the extreme value irregular element point can be obtained by summing up the series value redundancy in the order of time points. In this way, the distortion of the irregular element point is obtained by combining the jump amplitude and the distinguishing amplitude, and the failure of the transmitter is identified, which reduces the non-real distortion caused by user quantity changes or clutter disturbances, and makes the failure prediction of the transmitter more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a flow chart of the predictive control method for distributed photovoltaic power generation detection equipment described in the present invention;

[0047] Figure 2 It is a partial structural schematic diagram of the predictive control device for distributed photovoltaic power generation detection equipment described in the present invention. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely expressed in combination with the drawings in the embodiments of the present invention. The embodiments expressed in this application are only part of the embodiments of the present invention, not all of them. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0049] like Figure 1 As shown, the predictive control method for distributed photovoltaic power generation detection equipment described in the present invention includes:

[0050] The irradiance transmitter samples the irradiance of the photovoltaic components of the distributed photovoltaic power generation system and transmits it to the controller. The output power transmitter samples the output power value of the photovoltaic components of the distributed photovoltaic power generation system and transmits it to the controller. The controller performs predictive control on the received irradiance and output power value; the controller can be a single-chip microcomputer or an industrial computer.

[0051] The controller performs a predictive control method on the received irradiance and the output power value, which is run on the controller and includes:

[0052] Step 1: Receive the irradiance and output power values ​​of the photovoltaic components of the distributed photovoltaic power generation system sampled and transmitted by the irradiance transmitter and the output power transmitter respectively;

[0053] In a preferred but non-restrictive embodiment of the present invention, the irradiance and output power values ​​of the photovoltaic modules form the photovoltaic module values ​​of the distributed photovoltaic power generation system. In Step 1, the irradiance and output power values ​​are two-level queue values ​​(queue values ​​are queue values ​​arranged in the order of sampling) and the number of queue elements of the irradiance and output power values ​​is the same. Each type of queue value contains multiple information points. The value on the X-axis of the irradiance information point on the Cartesian system is a different sampling time point, and the value on the Y-axis of the irradiance information point on the Cartesian system is the irradiance value corresponding to each sampling time point. The value on the X-axis of the output power value information point on the Cartesian system is a different sampling time point, and the value on the Y-axis of the output power value information point on the Cartesian system is the output power value corresponding to each sampling time point. The time interval between adjacent sampling time points in the present invention is , that is, the distance The transmitter (the transmitter includes an irradiance transmitter and an output power transmitter) samples an irradiance value and an output power value. The total sampling time of the irradiance and output power values ​​received by the controller is 25 minutes.

[0054] Then the irradiance and output power values ​​are obtained.

[0055] Step 2: Obtain the irregular elements of irradiance and the irregular elements of output power according to the irradiance and output power values; obtain multiple extreme value irregular element points in the irregular elements of irradiance according to the irregular elements of irradiance;

[0056] Under current conditions, the values ​​of photovoltaic modules sampled by the transmitter are queue values ​​with stable timing attributes. The irregular element points obtained after separation by the SEATS method are reflected on the mean line (the mean line is the line parallel to the X-axis formed by the mean of the values ​​of the irregular element points as the value on the Y-axis), that is, most of them are concentrated next to the mean line. The closer to the mean line, the lower the value distortion amplitude. However, the distortion points are separated only by the extreme value amplitude through the spacing, and the extreme value of the information point introduced by the change of the user volume under current conditions is not involved. Therefore, the attribute analysis of failure distortion is performed on the extreme value irregular element points, and the failure distortion attribute model is constructed by combining the jump attribute and the distinctive attribute of the irregular element points, so as to obtain irregular element points with a relatively high failure distortion amplitude, thereby removing the distortion value caused by the user volume and achieving transmitter failure prediction.

[0057] In a preferred but non-limiting embodiment of the present invention, in Step 2, the irregular elements of the irradiance and the irregular elements of the output power value are obtained according to the irradiance and the output power value, which includes:

[0058] The irradiance is sent to the SEATS method to calculate the irregular elements of the irradiance; the output power value is sent to the SEATS method to calculate the irregular elements of the output power value.

[0059] In a preferred but non-limiting embodiment of the present invention, in Step 2, a plurality of extreme value irregular element points in the irregular element of the irradiance are obtained according to the irregular element of the irradiance, which includes:

[0060] Define the irregular element of irradiance as irregular element 1; define the element value modulus of the irregular element point (element point is the element within the element) in irregular element 1 as irregular element 1. The irregular feature point of is regarded as the extreme value irregular feature point of irregular feature 1. It is the variance of the modulus of the element values ​​of all irregular elements within irregular element one.

[0061] In a preferred but non-limiting embodiment of the present invention, the irregular element contains a plurality of irregular element points and a mean line, and each irregular element point corresponds to an element value of the irregular element.

[0062] Thus, multiple extreme value irregular element points are obtained within the irregular elements of irradiance.

[0063] Step 3: Obtain the jump amplitude of each extreme value irregular element point in the irregular element of irradiance according to the slope of the irregular element point in the irregular element of irradiance and the element value of the irregular element; obtain the series value queue of each extreme value irregular element point in the irregular element of irradiance according to the slope of each extreme value irregular element point in the irregular element of irradiance; obtain the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance according to the series value queue of each extreme value irregular element point in the irregular element of irradiance, the element value of the irregular element and the irregular element of the output power value;

[0064] In a preferred but non-restrictive implementation of the present invention, in Step 3, an attribute pattern is constructed based on the arrangement of extreme value irregular element points, and the key is through two points: 1. the jump attribute of the extreme value irregular element points, and 2. the distinguishing attribute of the extreme value irregular element points. The pattern of the failure distortion amplitude of the extreme value irregular element points can be characterized through these two attributes, so that the failure distortion amplitude of each extreme value irregular element point is determined through the failure distortion attribute pattern.

[0065] The output power of the photovoltaic components of the distributed photovoltaic power generation system with constant and regular operation will slowly return to a stable state after the user volume changes. It is staged, and the change form in the fitting line is a jump in the condition of steady-state output power, and then slowly returns to a stable state. The extreme value irregular element point shows continuity (that is, there is a trend of slowly returning to the mean line after the extreme value point). The randomness of the photovoltaic component values ​​sampled when the transmitter fails is very high. On the fitting line obtained by the least squares method of the photovoltaic component values, it is generally reflected as a jump of a large amplitude, and there is no stage of slow recovery. Instead, it drops sharply after the jump and returns to a stable state or continues to jump. Correspondingly, the continuity on both sides of its extreme value irregular element points is insufficient. In view of their differences, a jump attribute model is constructed, which is composed of 2 sections. One section is the amplitude of the slope continuous change. The higher the slope change, the higher the amplitude of the change at that place, and the smaller the continuity of the same trend. Therefore, the total amount of slope change between the continuous points after the extreme value irregular element point is calculated, and the additional key degree is performed according to the effect of the distance on the total amount of slope change. The shorter the distance to the extreme value point, the higher the ratio of the additional key degree of the slope change, and the slope continuous change of the extreme value irregular element point is obtained. The dynamic amplitude reflects the continuity after the extreme value point. The larger the continuous change amplitude, the smaller the continuity and the higher the jump attribute amplitude. The other section is the jump amplitude, which is obtained by multiplying the distance between the extreme value irregular element point and the mean line by the narrowness of the extreme value irregular element point to the sinking values ​​on both sides. The distance from the mean line reflects the distortion amplitude of the point as an irregular element, and the narrowness reflects the steepness amplitude of the point, corresponding to the jump amplitude, and their multiplication reflects the jump amplitude of the point.

[0066] The jump amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained according to the slope of the irregular element point in the irregular element of irradiance and the element value of the irregular element, which includes:

[0067] Define any extreme value irregular element point in irregular element 1 as the target extreme value irregular element point; define the point after the target extreme value irregular element point in irregular element 1 as the target extreme value irregular element point. A group of irregular feature points is defined as group 1, and multiple sinking value points in irregular feature 1 are obtained; the sinking value is the value whose two values ​​on both sides are lower than the sinking value. If any extreme value irregular feature point is on the right side of irregular feature 1, then the value after the extreme value irregular feature point The irregular element point will be higher than the range of the irregular element one. At this time, the application uses the minimum curvature method to complete the value of the irregular element point that is higher than the range of the irregular element one.

[0068] Then execute the following equation:

[0069]

[0070] In the equation, Is the first The slope of the irregular feature point, For group one The slope of the irregular feature point, Is the first The number of feature points between the irregular feature point and the target extreme value irregular feature point, is the number of irregular feature points in group 1, z is the element value of the irregular feature of the target extreme value irregular feature point, It is the element value of the irregular element with the shortest sinking value point within the irregular element. It is the distance on the X-axis between the shortest sinking value point on the left side of the target extreme value irregular element point in the irregular element 1 and the shortest sinking value point on the right side of the irregular element. It is the jump amplitude of the target extreme value irregular element point.

[0071] In a preferred but non-limiting embodiment of the present invention, is a predefined value of one. The value of is four.

[0072] The slope of the irregular element point in the present invention is obtained by dividing the modulus of the quantity obtained by subtracting the element value of the irregular element of the irregular element point adjacent to the irregular element point by the ratio of the distance between the element value of the irregular element of the irregular element point and the element value of the irregular element of the irregular element point adjacent to the irregular element point on the X-axis, and the analysis is not performed for the last irregular element point; Represents the slope change of the irregular feature points adjacent to the target extreme value irregular feature point within the irregular feature. The criticality represents the magnitude of slope change. It represents the total amount after adding the key degree to the slope difference, reflecting the slope continuous change amplitude after the target extreme value irregular element point. The higher the change amplitude, the higher the randomness of the point, and the higher the probability of failure caused by the failure of the transmitter. Represents the narrowness of the irregular feature point protrusion of the target extreme value, It is the jump amplitude obtained by combining the narrowness and the distortion amplitude. The larger the jump amplitude, the higher the jump amplitude of the target extreme value irregular element point, and the more it satisfies the high distortion amplitude caused by the failure of the transmitter.

[0073] The jump attribute obtains the failure distortion amplitude of the point according to the hysteresis continuity and jump of the extreme value irregular element point. However, there are still information points with small jump amplitude but still failure distortion. Therefore, further, the distinguishing attribute model is constructed through the morphological distinction in the time point sequence and the two-level power irradiance distinction, and then the failure distortion amplitude of the extreme value irregular element point is obtained. First, the morphological distinction of the extreme value irregular element point in the time point sequence is obtained. Because the user access is a stable control, the distortion caused by the change of power irradiance value will often be repeated in the subsequent time point sequence, making the transmitter failure very random. Therefore, by obtaining the connection morphology of the points adjacent to the extreme value irregular element point on both sides, and obtaining the redundancy of the connection morphology in the time point sequence position, the morphological distinction of the point in the time point sequence is obtained. The lower the uniform morphology of the extreme value irregular element point in the time point sequence position, the higher the morphological distinction, and the higher the distinguishing attribute amplitude.

[0074] In a preferred but non-limiting embodiment of the present invention, in Step 3, a series value queue of each extreme value irregular element point in the irregular element of irradiance is obtained according to the slope of each extreme value irregular element point in the irregular element of irradiance, which includes:

[0075] Use the target extreme value irregular element point as the midpoint to construct a Cartesian system, and cut the right part of the Y axis of the Cartesian system into space, is a predefined value. The possible value is twelve. The spaces are numbered continuously from right to left in a sequentially increasing order. The obtained values ​​are regarded as the serial values ​​of each space. The serial values ​​of the space where the tangent value of the corresponding arc represented by the slope of the target extreme value irregular element point is located are regarded as the serial values ​​of the target extreme value irregular element point. The irregular element point with the shortest horizontal axis spacing and opposite slope sign to the target extreme value irregular element point is obtained on the left side of the target extreme value irregular element point, and is defined as irregular element point one. The irregular element point with the shortest X-axis spacing and opposite slope sign to the target extreme value irregular element point is obtained on the right side of the target extreme value irregular element point, and is defined as irregular element point two. The spatial range formed by the irregular element point and the irregular element point two is defined as spatial range one. The queue formed by the serial values ​​of all irregular element points in spatial range one is defined as the serial value queue of the target extreme value irregular element point. If all irregular feature points within spatial range one contain the target extreme value irregular feature point, and if there is no nearest irregular feature point with opposite slope sign on the left or right of the target extreme value irregular feature point, the analysis of spatial range one and the series value queue will not be performed.

[0076] The shape formed by the connected segments of multiple consecutive points at the extreme value irregular element point is explained by the series value array. The extreme value irregular element points with similar shapes have the same series value array. The shape distinctiveness of the extreme value irregular element point can be obtained by summing up the series value redundancy in the order of time points. The smaller the series value redundancy, the higher the shape distinctiveness and the higher the distinguishing attribute amplitude.

[0077] In order to obtain the numerical distinctiveness of PV module values, when the user quantity changes causing a type of value to change, the other values ​​sampled by the sensor at that point must also change with the same trend. When the changes of different types of values ​​at one point are very different, it means that the probability of sensor failure is very high. Therefore, the distinctiveness of PV module values ​​is obtained here by the difference in the amplitude of the points around the extreme value irregular element points at one point in time of values ​​of different levels of time points and the difference in the distance between the extreme values ​​of the lines.

[0078] In a preferred but non-limiting embodiment of the present invention, in Step 3, based on the series value queue of each extreme value irregular element point in the irregular element of irradiance, the element value of the irregular element and the irregular element of the output power value, the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained, which includes:

[0079] Define the irregular factor of the output power value as irregular factor 2, and then execute the following equation:

[0080]

[0081] In the equation, The value of is: in the series value queue of all extreme value irregular element points other than the target extreme value irregular element point, the number of series value queues that are consistent with the series value queue of the target extreme value irregular element point is defined as , is the number of extreme value irregular feature points within irregular feature 1; is the near-domain aggregation degree of the target extreme value irregular feature point, The value of is: get all the peak value points in the irregular element one (the peak value point is the value point that is higher than the values ​​of its two adjacent values), take the mean of the modulus of the element values ​​of the irregular elements of all the peak value points as the span of any extreme value irregular element point in the irregular element one, and define it as , take the extreme value irregular element point as the origin and the span is The number of irregular feature points in the range is defined as ; is the benchmark near-domain aggregation degree of the target extreme value irregular feature point, The value of is: Get all the peak value points in the irregular element 2, take the mean of the modulus of the element values ​​of the irregular elements of all the peak value points as the span of any extreme value irregular element point in the irregular element 2, and define it as , obtain the irregular element point with the same serial number as the target extreme value irregular element point in the irregular element 2, define it as the reference extreme value irregular element point, and define the number of irregular element points in the range with the reference extreme value irregular element point as the origin and the span R2 as ; And we need to grasp the irregular element points with the same serial number, just like, if the target extreme value irregular element point is the second irregular element point in irregular element one, and the serial number is two, then the reference extreme value irregular element point is the second irregular element in irregular element two; is the element value of the irregular feature of the target extreme value irregular feature point, is the element value of the irregular feature at the base extreme value irregular feature point, It is the discrimination amplitude of the target extreme value irregular feature points.

[0082] The higher the distinction amplitude of the extreme value irregular element point, the higher the difference in the PV module value, and the higher the probability that the point is distorted by the failure of the transmitter.

[0083] Thus, the jump amplitude and distinction amplitude of the extreme value irregular element points are obtained.

[0084] Step 4: According to the jump amplitude of each extreme value irregular element point in the irregular element of irradiance and the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance, the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained to identify the failure of the transmitter.

[0085] The above obtains the jump amplitude of the extreme value irregular element point and the distinction amplitude of the extreme value irregular element point, and constructs the failure distortion amplitude model based on them to obtain the non-failure, that is, the non-distortion irregular element point caused by the change of user quantity.

[0086] In a preferred but non-limiting embodiment of the present invention, in Step 4, the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained according to the jump amplitude of each extreme value irregular element point in the irregular element of irradiance and the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance, and the calculation equation is:

[0087]

[0088] In the equation, is the jump amplitude of the target extreme value irregular element point, is the discrimination amplitude of the target extreme value irregular feature points, The Z-score method is used to Execute standardization, It is the distortion amplitude of the target extreme value irregular feature point.

[0089] In a preferred but non-limiting embodiment of the present invention, in Step 4, the failure of the transmitter is determined based on the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance, which includes:

[0090] Define a critical value in advance, defined as , whose value is two-fifths, if , the target extreme value irregular element point is the non-distorted irregular element point of irregular element 1, that is, the non-distorted irregular element point caused by the change of user volume, and no analysis is performed afterwards. The purpose is that the extreme value irregular element point is the distortion irregular element point of irregular element one; the corresponding information point of the distortion irregular element point in the irregular element one in the irradiance is regarded as the distortion value point. If there is a distortion value point in the irradiance, the transmitter will fail. If there is no distortion value point in the irradiance, the transmitter will not fail.

[0091] like Figure 2 As shown, the prediction control device for distributed photovoltaic power generation detection equipment described in the present invention includes:

[0092] The irradiance transmitter and output power transmitter connected to the controller are used to perform detection of the distributed photovoltaic power generation system. The irradiance transmitter is used to sample the irradiance of the photovoltaic components of the distributed photovoltaic power generation system and transmit it to the controller. The output power transmitter is used to sample the output power value of the photovoltaic components of the distributed photovoltaic power generation system and transmit it to the controller.

[0093] The modules running on the controller include:

[0094] A receiving module, which is used to receive the irradiance and output power values ​​of the photovoltaic components of the distributed photovoltaic power generation system sampled and transmitted by the irradiance transmitter and the output power transmitter respectively;

[0095] An acquisition module is used to acquire irregular elements of irradiance and irregular elements of output power value according to irradiance and output power value; and to acquire a plurality of extreme value irregular element points in the irregular elements of irradiance according to the irregular elements of irradiance;

[0096] A distinguishing module, which is used to obtain the jump amplitude of each extreme value irregular element point in the irregular element of irradiance according to the slope of the irregular element point in the irregular element of irradiance and the element value of the irregular element; obtain the series value queue of each extreme value irregular element point in the irregular element of irradiance according to the slope of each extreme value irregular element point in the irregular element of irradiance; obtain the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance according to the series value queue of each extreme value irregular element point in the irregular element of irradiance, the element value of the irregular element and the irregular element of the output power value;

[0097] The identification module is used to obtain the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance based on the jump amplitude of each extreme value irregular element point in the irregular element of irradiance and the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance, so as to identify the failure of the transmitter.

[0098] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0099] After the transmitter samples the irradiance and output power values, the irregular elements of the values ​​are obtained by analyzing the data, and the distortion of the irregular elements of the values ​​is analyzed to reduce the interference of the source value noise interference on the distortion analysis, so that the prediction of the transmitter failure is more accurate. The slope of the irregular element point in the irregular element of the irradiance and the element value of the irregular element are used to obtain the jump amplitude of each extreme value irregular element point in the irregular element of the irradiance. When obtaining the jump amplitude, the slope of the irregular element point is continuously changed to make the jump amplitude more accurate, which can better reflect the jump characteristics of the irradiance sampled by the transmitter, and then the series value queue and output power are combined. The irregular element of the rate value is used to obtain the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance, among which the series value sequence of the extreme value irregular element point in the irregular element of irradiance sampled by the analytical transmitter well characterizes the shape formed by the connected lines of multiple continuous points at the extreme value irregular element point, and the morphological distinctiveness of the extreme value irregular element point can be obtained by summing up the series value redundancy in the order of time points. In this way, the distortion of the irregular element point is obtained by combining the jump amplitude and the distinguishing amplitude, and the failure of the transmitter is identified, which reduces the non-real distortion caused by user quantity changes or clutter disturbances, and makes the failure prediction of the transmitter more accurate.

[0100] The present disclosure can be a system, method and / or computer program product. The computer program product can include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0101] A computer-readable storage medium can be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the above. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (such as, a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0102] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0103] The computer program instructions for performing the operations of the present disclosure can be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as "C" language or similar programming languages. The computer-readable program instructions can be executed entirely on the controller computer, partially on the controller computer, as a separate software package, partially on the controller computer and partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the controller computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (just as using an Internet service provider to connect through the Internet). In some embodiments, various aspects of the present disclosure are implemented by utilizing state information of computer-readable program instructions to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), which can execute computer-readable program instructions.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A predictive control method for distributed photovoltaic power generation detection equipment, characterized in that: include: The irradiance transmitter samples the irradiance of the photovoltaic modules of the distributed photovoltaic power generation system and transmits it to the controller. The output power transmitter samples the output power value of the photovoltaic modules of the distributed photovoltaic power generation system and transmits it to the controller. The controller performs predictive control on the received irradiance and output power value. The controller performs predictive control on the received irradiance and output power value, which includes: Step 1: Receive the irradiance and output power values ​​of the photovoltaic components of the distributed photovoltaic power generation system sampled and transmitted by the irradiance transmitter and the output power transmitter respectively; Step 2: Obtain the irregular elements of irradiance and the irregular elements of output power according to the irradiance and output power values; obtain multiple extreme value irregular element points in the irregular elements of irradiance according to the irregular elements of irradiance; Step 3: Obtain the jump amplitude of each extreme value irregular element point in the irregular element of irradiance according to the slope of the irregular element point in the irregular element of irradiance and the element value of the irregular element; obtain the series value queue of each extreme value irregular element point in the irregular element of irradiance according to the slope of each extreme value irregular element point in the irregular element of irradiance; obtain the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance according to the series value queue of each extreme value irregular element point in the irregular element of irradiance, the element value of the irregular element and the irregular element of the output power value; Step 4: According to the jump amplitude of each extreme value irregular element point in the irregular element of irradiance and the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance, the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained to identify the failure of the transmitter.

2. The predictive control method for distributed photovoltaic power generation detection equipment according to claim 1, characterized in that: In Step 1, the irradiance and output power values ​​are two-level queue values ​​and the number of queue elements of the irradiance and output power values ​​is the same. Each type of queue value contains multiple information points. The value on the X-axis of the irradiance information point on the Cartesian system is a different sampling time point, and the value on the Y-axis of the irradiance information point on the Cartesian system is the irradiance value corresponding to each sampling time point. The value on the X-axis of the output power value information point on the Cartesian system is a different sampling time point, and the value on the Y-axis of the output power value information point on the Cartesian system is the output power value corresponding to each sampling time point.

3. The predictive control method for distributed photovoltaic power generation detection equipment according to claim 2 is characterized in that: In Step 2, the irregular factors of irradiance and the irregular factors of output power are obtained according to the irradiance and output power values, which include: Send the irradiance to the SEATS method and calculate the irregular elements of the irradiance; send the output power value to the SEATS method and calculate the irregular elements of the output power value; In Step 2, a plurality of extreme value irregular element points in the irregular element of irradiance are obtained according to the irregular element of irradiance, which include: Define the irregular element of irradiance as irregular element 1; define the element value modulus of the irregular element point in irregular element 1 as irregular element 1. The irregular feature point of is regarded as the extreme value irregular feature point of irregular feature 1. It is the variance of the modulus of the element values ​​of all irregular elements within irregular element one.

4. The predictive control method for distributed photovoltaic power generation detection equipment according to claim 3 is characterized in that: The irregular element contains a plurality of irregular element points and a mean line, and each irregular element point corresponds to an element value of the irregular element.

5. The predictive control method for distributed photovoltaic power generation detection equipment according to claim 4 is characterized in that: In Step 3, the jump amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained according to the slope of the irregular element point in the irregular element of irradiance and the element value of the irregular element, which includes: Define any extreme value irregular element point in irregular element 1 as the target extreme value irregular element point; define the point after the target extreme value irregular element point in irregular element 1 as the target extreme value irregular element point. A group of irregular feature points is defined as group 1, and multiple sinking value points in irregular feature 1 are obtained; then the following equation is executed: In the equation, Is the first The slope of the irregular feature point, For group one The slope of the irregular feature point, Is the first The number of feature points between the irregular feature point and the target extreme value irregular feature point, is the number of irregular feature points in group 1, z is the element value of the irregular feature of the target extreme value irregular feature point, It is the element value of the irregular element with the shortest sinking value point within the irregular element. It is the distance on the X-axis between the shortest sinking value point on the left side of the target extreme value irregular element point in the irregular element 1 and the shortest sinking value point on the right side of the irregular element. It is the jump amplitude of the target extreme value irregular element point.

6. The predictive control method for distributed photovoltaic power generation detection equipment according to claim 5, characterized in that: is a predefined value of one. The value of is four.

7. The predictive control method for distributed photovoltaic power generation detection equipment according to claim 6, characterized in that: In Step 3, the serial value queue of each extreme value irregular element point in the irregular element of irradiance is obtained according to the slope of each extreme value irregular element point in the irregular element of irradiance, which includes: Use the target extreme value irregular element point as the midpoint to construct a Cartesian system, and cut the right part of the Y axis of the Cartesian system into space, is a predefined value. The value is twelve, and the spaces are numbered continuously from right to left in a sequentially increasing order. The obtained values ​​are regarded as the serial values ​​of each space, and the serial values ​​of the space where the tangent value of the corresponding arc represented by the slope of the target extreme value irregular element point is located are regarded as the serial values ​​of the target extreme value irregular element point; on the left side of the target extreme value irregular element point, the irregular element point with the shortest horizontal axis spacing and the opposite sign of the slope to the target extreme value irregular element point is obtained, and it is defined as irregular element point one; on the right side of the target extreme value irregular element point, the irregular element point with the shortest X-axis spacing and the opposite sign of the slope to the target extreme value irregular element point is obtained, and it is defined as irregular element point two; the spatial range formed by the irregular element point and the irregular element point two is defined as spatial range one; the queue formed by the serial values ​​of all irregular element points in spatial range one is defined as the serial value queue of the target extreme value irregular element point.

8. The predictive control method for distributed photovoltaic power generation detection equipment according to claim 7, characterized in that: In Step 3, according to the series value queue of each extreme value irregular element point in the irregular element of irradiance, the element value of the irregular element and the irregular element of the output power value, the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained, which includes: Define the irregular factor of the output power value as irregular factor 2, and then execute the following equation: In the equation, The value of is: in the series value queue of all extreme value irregular element points other than the target extreme value irregular element point, the number of series value queues that are consistent with the series value queue of the target extreme value irregular element point is defined as , is the number of extreme value irregular feature points within irregular feature 1; is the near-domain aggregation degree of the target extreme value irregular feature point, The value of is: Get all the peak value points in the irregular element one, take the mean of the modulus of the element values ​​of the irregular elements of all the peak value points as the span of any extreme value irregular element point in the irregular element one, and define it as , take the extreme value irregular element point as the origin and the span is The number of irregular feature points in the range is defined as ; is the benchmark near-domain aggregation degree of the target extreme value irregular feature point, The value of is: Get all the peak value points in the irregular element 2, take the mean of the modulus of the element values ​​of the irregular elements of all the peak value points as the span of any extreme value irregular element point in the irregular element 2, and define it as , obtain the irregular element point with the same serial number as the target extreme value irregular element point in the irregular element 2, define it as the reference extreme value irregular element point, and define the number of irregular element points in the range with the reference extreme value irregular element point as the origin and the span R2 as ; is the element value of the irregular feature of the target extreme value irregular feature point, is the element value of the irregular feature at the base extreme value irregular feature point, It is the discrimination amplitude of the target extreme value irregular feature points.

9. The predictive control method for distributed photovoltaic power generation detection equipment according to claim 8, characterized in that: In Step 4, according to the jump amplitude of each extreme value irregular element point in the irregular element of irradiance and the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance, the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance is obtained, and its calculation equation is: In the equation, is the jump amplitude of the target extreme value irregular element point, is the discrimination amplitude of the target extreme value irregular feature points, The Z-score method is used to Execute standardization, is the distortion amplitude of the target extreme value irregular feature point; In Step 4, the failure of the transmitter is determined based on the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance, which includes: Define a critical value in advance, defined as , whose value is two-fifths, if , the target extreme value irregular feature point is the non-distorted irregular feature point of irregular feature 1, and no analysis is performed afterwards. The purpose is that the extreme value irregular element point is the distortion irregular element point of irregular element one; the corresponding information point of the distortion irregular element point in the irregular element one in the irradiance is regarded as the distortion value point. If there is a distortion value point in the irradiance, the transmitter will fail. If there is no distortion value point in the irradiance, the transmitter will not fail.

10. A predictive control device for distributed photovoltaic power generation detection equipment, characterized in that: include: The irradiance transmitter and output power transmitter connected to the controller are used to perform detection of the distributed photovoltaic power generation system. The irradiance transmitter is used to sample the irradiance of the photovoltaic components of the distributed photovoltaic power generation system and transmit it to the controller. The output power transmitter is used to sample the output power value of the photovoltaic components of the distributed photovoltaic power generation system and transmit it to the controller. The modules running on the controller include: A receiving module, which is used to receive the irradiance and output power values ​​of the photovoltaic components of the distributed photovoltaic power generation system sampled and transmitted by the irradiance transmitter and the output power transmitter respectively; An acquisition module is used to acquire irregular elements of irradiance and irregular elements of output power value according to irradiance and output power value; and to acquire a plurality of extreme value irregular element points in the irregular elements of irradiance according to the irregular elements of irradiance; A distinguishing module, which is used to obtain the jump amplitude of each extreme value irregular element point in the irregular element of irradiance according to the slope of the irregular element point in the irregular element of irradiance and the element value of the irregular element; obtain the series value queue of each extreme value irregular element point in the irregular element of irradiance according to the slope of each extreme value irregular element point in the irregular element of irradiance; obtain the distinguishing amplitude of each extreme value irregular element point in the irregular element of irradiance according to the series value queue of each extreme value irregular element point in the irregular element of irradiance, the element value of the irregular element and the irregular element of the output power value; The identification module is used to obtain the distortion amplitude of each extreme value irregular element point in the irregular element of irradiance based on the jump amplitude of each extreme value irregular element point in the irregular element of irradiance and the distinction amplitude of each extreme value irregular element point in the irregular element of irradiance, so as to identify the failure of the transmitter.

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