CN109975607A - Power distribution station capacity recognition methods, device, storage medium and electronic equipment - Google Patents
Power distribution station capacity recognition methods, device, storage medium and electronic equipment Download PDFInfo
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Abstract
本申请实施例提供了一种配电台区容量识别方法、装置、存储介质及电子设备，应用于组别为Yyn0型的变压器，其中，方法包括：采集待测区域的第一预设时间段内的多个电压差值以及每一电压差值对应的电流差值。将多个电压差值和多个电流差值输入至预先建立的容量拟合模型中，得到待测区域对应的容量参数。根据容量参数以及预先设定的多个标准容量参数，获得待测区域对应的容量。容量用于标识与待测区域对应的负荷耗能情况。本申请实施例通过采集待测区域的电压差值和电流差值，根据容量拟合模型得到对应的待测区域的容量参数。通过比较容量参数与标准容量参数，来获得待测区域对应的容量，实现对待测区域容量的快速识别，省去过多的计算步骤。
The embodiments of the present application provide a method, device, storage medium and electronic equipment for identifying the capacity of a power distribution station area, which are applied to a transformer of type Yyn0, wherein the method includes: collecting a first preset time period of the area to be measured A plurality of voltage difference values within and the current difference value corresponding to each voltage difference value. Inputting multiple voltage differences and multiple current differences into a pre-established capacity fitting model to obtain capacity parameters corresponding to the area to be measured. According to the capacity parameter and a plurality of preset standard capacity parameters, the capacity corresponding to the area to be tested is obtained. The capacity is used to identify the load energy consumption corresponding to the area to be tested. In the embodiment of the present application, the capacity parameters of the corresponding to-be-measured area are obtained according to the capacity fitting model by collecting the voltage difference and the current difference of the area to be measured. By comparing the capacity parameters with the standard capacity parameters, the corresponding capacity of the area to be measured is obtained, which realizes the rapid identification of the capacity of the area to be measured, and saves too many calculation steps.
Description
Technical Field
The application relates to the field of power distribution detection, in particular to a power distribution station capacity identification method and device, a storage medium and electronic equipment.
Background
Whether the distribution transformer capacity parameter of the transformer area is accurate or not is crucial, and the distribution transformer capacity or the capacity on the nameplate parameter recorded in the power distribution related system is not consistent with the actual capacity for a long time. Therefore, it is necessary for the power department to verify the actual rated capacity of the distribution transformer and correct the wrong capacity information.
In the past, the development of distribution network automation is relatively lagged behind, the traditional capacity identification process is too complex, the calculation is complex, and in actual application, the efficiency of capacity identification is too low.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a power distribution area capacity identification method, device, storage medium and electronic device, so as to improve the above technical problems.
In a first aspect, an embodiment of the present application provides a power distribution area capacity identification method, which is applied to a transformer of Yyn0 type, and includes: collecting a plurality of voltage difference values in a first preset time period of a region to be detected and a current difference value corresponding to each voltage difference value; inputting the voltage difference values and the current difference values into a pre-established capacity fitting model to obtain capacity parameters corresponding to the area to be measured; acquiring the capacity corresponding to the area to be measured according to the capacity parameters and a plurality of preset standard capacity parameters; the capacity is used for identifying the load energy consumption condition corresponding to the area to be tested.
According to the embodiment of the application, the voltage difference value and the current difference value of the area to be detected are collected, and the corresponding capacity parameter of the area to be detected is obtained according to the capacity fitting model. The capacity corresponding to the area to be detected is obtained by comparing the capacity parameter with the standard capacity parameter, so that the capacity of the area to be detected is rapidly identified, and excessive calculation steps are omitted.
Further, before the acquiring a plurality of voltage difference values and a plurality of current difference values within a first preset time of the region to be measured, the method further includes: collecting a plurality of standard voltage difference values respectively corresponding to a plurality of sample area groups in a second preset time period and a standard current difference value corresponding to each standard voltage difference value; wherein the set of sample regions comprises a plurality of sample regions, each set of sample regions corresponding to a standard capacity; respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity fitting model, and determining a standard capacity parameter corresponding to each sample region; wherein: the capacity fitting model is as follows:
ΔUt＝a×ΔIt+b
wherein, Delta UtIs a sequence of standard voltage difference values, said sequence of standard voltage difference values comprising a plurality of said standard voltage difference values; delta ItIs a standard current difference value sequence, the standard current difference value sequence comprises a plurality of standard current difference values; a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region.
According to the embodiment of the application, a plurality of standard capacity parameters corresponding to the standard capacity are obtained by collecting the standard voltage difference values and the standard current difference values of a plurality of sample area groups and fitting a model according to the capacity. The capacity parameter of the area to be measured can be compared with a plurality of standard capacity parameters, and when the capacity identification requirement is adjusted, the standard capacity parameter obtained by collecting the sample can be adjusted along with the requirement.
Further, the processing, by using the capacity fitting model, a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region respectively to determine a standard capacity parameter corresponding to each sample region includes: obtaining a corresponding capacity parameter model based on a least square principle according to the capacity fitting model; respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity parameter model, and determining a standard capacity parameter corresponding to each sample region; the capacity parameter model is as follows:
wherein a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region; n is the number of corresponding standard voltage difference values or standard current difference values; delta UtiThe ith standard voltage difference value in the standard voltage difference value sequence is obtained; delta ItiThe standard current difference value of the ith in the standard current difference value sequence is obtained; i is positive less than or equal to NAn integer number.
According to the embodiment of the application, the capacity parameter model can be deduced according to the capacity fitting model by the least square principle. The voltage difference and the current difference are input into the capacity parameter model, and corresponding capacity parameters can be obtained, so that the capacity parameters can be simply obtained, and the sum of squares of errors between the obtained capacity parameters and actual capacity parameters is minimum.
Further, after the standard voltage difference values and the standard current difference values corresponding to each sample region are respectively processed by using the capacity fitting model, and the standard capacity parameter corresponding to each sample region is determined, the method further includes: and obtaining a capacity identification chart according to the plurality of standard capacity parameters and the capacity fitting model.
According to the embodiment of the application, the capacity identification graph can be drawn according to the standard capacity parameters and the capacity fitting model, so that after the capacity parameters corresponding to the area to be measured are obtained, the corresponding straight lines can be drawn in the capacity identification graph according to the capacity parameters and the capacity fitting model. Therefore, when the capacity identification is needed in more areas to be detected, the corresponding capacity can be directly judged according to the image more intuitively.
Further, the acquiring a plurality of voltage difference values and a current difference value corresponding to each voltage difference value in a first preset time period of the region to be detected includes: collecting a plurality of phase voltages in a first preset time period of the region to be detected and phase current corresponding to each phase voltage; respectively processing a plurality of phase voltages and a plurality of phase currents corresponding to each region to be detected by using a difference value calculation model, and determining a plurality of voltage difference values and a plurality of current difference values corresponding to each region to be detected;
the difference calculation model is as follows:
wherein, Delta UtiIs the ith said voltage difference in the sequence of voltage differences; u shapeai，Ubi，UciAcquiring three-phase voltage for the ith acquisition; delta ItiIs the ith said current difference in the sequence of current differences; i isai，Ibi，IciAcquiring three-phase current for the ith acquisition; i is a positive integer less than or equal to N.
According to the embodiment of the application, the phase voltage and the phase current of the area to be detected are collected, and the corresponding voltage difference value and current difference value can be obtained through the difference value calculation model according to the phase voltage and the phase current, so that subsequent calculation can be carried out.
In a second aspect, an embodiment of the present application provides a distribution board area capacity identification device, which is applied to a transformer of type Yyn0, and includes: the acquisition module is used for acquiring a plurality of voltage difference values in a first preset time period of the area to be detected and a current difference value corresponding to each voltage difference value; the calculation module is used for inputting the voltage difference values and the current difference values into a pre-established capacity fitting model to obtain capacity parameters corresponding to the area to be measured; the processing module is used for obtaining the capacity corresponding to the area to be measured according to the capacity parameters and a plurality of preset standard capacity parameters; the capacity is used for identifying the load energy consumption condition corresponding to the area to be tested.
Further, the apparatus further comprises: the sample acquisition module is used for acquiring a plurality of standard voltage difference values respectively corresponding to the plurality of sample area groups in a second preset time period and a standard current difference value corresponding to each standard voltage difference value; wherein the set of sample regions comprises a plurality of sample regions, each set of sample regions corresponding to a standard capacity; the sample processing module is used for respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity fitting model and determining a standard capacity parameter corresponding to each sample region; wherein: the capacity fitting model is as follows:
ΔUt＝a×ΔIt+b
wherein, Delta UtIs a sequence of standard voltage difference values, said sequence of standard voltage difference values comprising a plurality of said standard voltage difference values; delta ItIs a standard current difference value sequence, the standard current difference value sequence comprises a plurality of standard current difference values; a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region.
Further, the sample processing module comprises: the modeling unit is used for obtaining a corresponding capacity parameter model based on the least square principle according to the capacity fitting model; the capacity calculation unit is used for respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity parameter model and determining a standard capacity parameter corresponding to each sample region; the capacity parameter model is as follows:
wherein a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region; n is the number of corresponding standard voltage difference values or standard current difference values; delta UtiThe ith standard voltage difference value in the standard voltage difference value sequence is obtained; delta ItiThe standard current difference value of the ith in the standard current difference value sequence is obtained; i is a positive integer less than or equal to N.
In a third aspect, embodiments of the present application further provide a non-transitory computer-readable storage medium storing computer instructions, which cause the computer to execute the method as described above.
In a fourth aspect, an embodiment of the present application further provides an electronic device, including: the system comprises a processor, a memory and a bus, wherein the processor and the memory are communicated with each other through the bus; the memory stores program instructions executable by the processor, which when called by the processor are capable of performing the methods described above.
Additional features and advantages of the present application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the present application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a block diagram of an electronic device according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a power distribution area capacity identification method according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of a capacity parameter calculation method according to an embodiment of the present disclosure;
FIG. 4 is a graph of capacity identification provided by an embodiment of the present application;
fig. 5 is a schematic structural diagram of a power distribution area capacity identification device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a block diagram illustrating an electronic device 10 applicable to an embodiment of the present application. The electronic device 10 may include a power distribution station area capacity recognition apparatus 100, a memory 101, a storage controller 102, a processor 103, a peripheral interface 104, an input-output unit 105, an audio unit 106, and a display unit 107.
The memory 101, the memory controller 102, the processor 103, the peripheral interface 104, the input/output unit 105, the audio unit 106, and the display unit 107 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The distribution substation capacity recognition apparatus 100 includes at least one software function module which may be stored in the memory 101 in the form of software or firmware (firmware) or solidified in an Operating System (OS) of the distribution substation capacity recognition apparatus 100. The processor 103 is configured to execute an executable module stored in the memory 101, such as a software functional module or a computer program included in the power distribution station capacity identification apparatus 100.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 101 is configured to store a program, and the processor 103 executes the program after receiving an execution instruction, and the method performed by the server defined by the flow process disclosed in any of the foregoing embodiments of the present application may be applied to the processor 103, or implemented by the processor 103.
The processor 103 may be an integrated circuit chip having signal processing capabilities. The Processor 103 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor 103 may be any conventional processor or the like.
The peripheral interface 104 couples various input/output devices to the processor 103 as well as to the memory 101. In some embodiments, the peripheral interface 104, the processor 103, and the memory controller 102 may be implemented in a single chip. In other examples, they may be implemented separately from the individual chips.
The input and output unit 105 is used for providing input data for a user to realize the interaction of the user and the server (or the local terminal). The input/output unit 105 may be, but is not limited to, a mouse, a keyboard, and the like.
Audio unit 106 provides an audio interface to a user, which may include one or more microphones, one or more speakers, and audio circuitry.
The display unit 107 provides an interactive interface (e.g., a user interface) between the electronic device 10 and a user or for displaying image data to a user reference. In this embodiment, the display unit 107 may be a liquid crystal display or a touch display. In the case of a touch display, the display can be a capacitive touch screen or a resistive touch screen, which supports single-point and multi-point touch operations. Supporting single-point and multi-point touch operations means that the touch display can sense touch operations simultaneously generated from one or more positions on the touch display, and the sensed touch operations are sent to the processor 103 for calculation and processing.
The peripheral interface 104 couples various input/output devices to the processor 103 as well as to the memory 101. In some embodiments, the peripheral interface 104, the processor 103, and the memory controller 102 may be implemented in a single chip. In other examples, they may be implemented separately from the individual chips.
The input and output unit 105 is used for providing input data for a user to realize the interaction of the user and the processing terminal. The input/output unit 105 may be, but is not limited to, a mouse, a keyboard, and the like.
It will be appreciated that the configuration shown in FIG. 1 is merely illustrative and that the electronic device 10 may include more or fewer components than shown in FIG. 1 or may have a different configuration than shown in FIG. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
Fig. 2 is a schematic flow chart of a power distribution area capacity identification method provided in an embodiment of the present application, and as shown in fig. 2, the embodiment of the present application provides a power distribution area capacity identification method applied to a transformer with a group of Yyn0 type, including:
step 210: and collecting a plurality of voltage difference values in a first preset time period of the region to be detected and a current difference value corresponding to each voltage difference value.
In a specific implementation process, in an area to be measured, a plurality of voltage difference values corresponding to a first preset time and a current difference value corresponding to each voltage difference value are collected.
The voltage difference value and the current difference value can be obtained from an operation and maintenance data pool of the operation and maintenance platform of the power distribution station area. And the acquisition frequency can be acquired once in half an hour or once every day, and the specific acquisition frequency can be adjusted according to the capacity identification precision of actual needs. The first preset time can be one month or one year, and the specific first preset time length can be adjusted according to the number of the acquired data required actually.
Step 220: and inputting the voltage difference values and the current difference values into a pre-established capacity fitting model to obtain capacity parameters corresponding to the area to be measured.
In a specific implementation process, the collected multiple voltage difference values and multiple current difference values are correspondingly input into a capacity fitting model, and the capacity fitting model can process the multiple voltage difference values and the multiple current difference values to obtain capacity parameters corresponding to the area to be measured.
Step 230: acquiring the capacity corresponding to the area to be measured according to the capacity parameters and a plurality of preset standard capacity parameters; and the capacity is used for identifying the load energy consumption condition corresponding to the area to be tested.
In a specific implementation process, the capacity corresponding to the area to be measured can be obtained by comparing the obtained capacity parameter with a preset standard capacity parameter. And the capacity can identify the load energy consumption condition corresponding to the area to be tested. The capacity parameter corresponding to the area to be measured is calculated by introducing the capacity fitting model, and the obtained capacity parameter is compared with the standard capacity parameter, so that the capacity corresponding to the area to be measured is obtained, the quick identification of the capacity of the area to be measured is realized, and excessive calculation steps can be omitted. And moreover, the obtained capacity corresponding to the area to be tested can also provide evaluation parameters for the operation and maintenance platform of the power distribution station area, so that the subsequent operation and maintenance platform can make a corresponding operation and maintenance strategy according to the capacity.
It should be noted that the area to be measured may be a power distribution area. In an electric power system, a distribution area refers to a power supply range or area of a transformer. Therefore, a plurality of current difference values and a plurality of corresponding current difference values of the transformer corresponding to the power distribution area need to be measured, corresponding capacity parameters are obtained through a capacity fitting model, and then the corresponding power distribution area capacity is obtained according to the capacity parameters, namely: the capacity of the transformer.
The connection set of the transformers may be Yyn0 type. Y represents that the high-voltage side three phase of the transformer is star-connected, Y represents that the low-voltage side three phase of the transformer is star-connected, n represents that the low-voltage side neutral point of the transformer needs to be led out, and 0 represents that the voltage phase difference between the high-voltage side and the low-voltage side of the transformer is 0 degree. Therefore, the connection group of the transformer indicates the connection characteristics of the transformer, and the manner of identifying the capacity is different depending on the connection characteristics of different transformers.
It should be noted that, by comparing the capacity parameter of the region to be measured with the preset standard capacity parameter, the corresponding capacity can be obtained, where the capacity may be a specific value or a range, for example: when a standard capacity parameter a is present, corresponding to the standard capacity a, and a standard capacity parameter B is present, corresponding to the standard capacity B, where a is greater than B, and B is greater than a, it can be said that the capacity parameter is in inverse relationship with the standard capacity. And if the capacity parameter corresponding to the region to be measured is smaller than A and larger than B, the capacity corresponding to the region to be measured is a-B.
For example, if the standard capacity parameters of the five different standard transformer areas are A, B, C, D and E, and the sizes of the standard capacity parameters are sequentially decreased, the five standard capacity parameters sequentially correspond to five standard capacities of 50kVA, 100kVA, 200kVA, 400kVA, and 630kVA according to the arrangement order. And processing the capacity fitting model to obtain a capacity parameter X corresponding to the area to be measured, and if the capacity parameter X is greater than A, judging that the capacity corresponding to the area to be measured is less than 50 KVA. And if the capacity parameter X is equal to A, judging that the capacity corresponding to the area to be measured is 50 KVA. And if the capacity parameter X is smaller than A and larger than B, judging that the capacity corresponding to the area to be measured is 50-100 KVA. And if the capacity parameter X is equal to B, judging that the capacity corresponding to the area to be measured is 100 KVA. And if the capacity parameter X is smaller than B and larger than C, judging that the capacity corresponding to the area to be measured is 100-200 KVA. And if the capacity parameter X is equal to C, judging that the capacity corresponding to the area to be measured is 200 KVA. And if the capacity parameter X is smaller than C and larger than D, judging that the capacity corresponding to the area to be measured is 200-400 KVA. And if the capacity parameter X is equal to D, judging that the capacity corresponding to the area to be measured is 400 KVA. And if the capacity parameter X is smaller than D and larger than E, judging that the capacity corresponding to the area to be measured is 400-630 KVA. And if the capacity parameter X is equal to E, judging that the capacity corresponding to the area to be measured is 630 KVA. And if the capacity parameter X is smaller than E, judging that the capacity corresponding to the area to be measured is larger than 630 KVA.
It should be noted that the values and quantities of the standard capacity parameters are not limited, and the specific values and quantities may be adjusted according to the actual capacity identification requirement, and only an example is given here. Meanwhile, the numerical value of the standard capacity and the range of division are not limited, and the specific range and numerical value can be adjusted according to the actual capacity identification condition, and only one example is given here.
Fig. 3 is a schematic flow chart of a capacity parameter calculation method according to an embodiment of the present application, as shown in fig. 3, before step 210, the method further includes:
step 310: and acquiring a plurality of standard voltage difference values respectively corresponding to the plurality of sample area groups in a second preset time period and a standard current difference value corresponding to each standard voltage difference value. Wherein the set of sample regions comprises a plurality of sample regions, each set of sample regions corresponding to a standard capacity.
In a specific implementation, a plurality of sample area groups are selected, each sample area group comprises a plurality of sample areas with the same volume, and each sample area group corresponds to a standard volume. And acquiring a plurality of standard voltage difference values and a plurality of standard current difference values which correspond to the plurality of sample area groups respectively, wherein the standard voltage difference values correspond to the standard current difference values one to one, and the acquisition quantity is the same.
Step 320: and respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity fitting model, and determining a standard capacity parameter corresponding to each sample region.
The capacity fitting model is as follows:
ΔUt＝a×ΔIt+b
wherein, Delta UtIs a sequence of standard voltage difference values, said sequence of standard voltage difference values comprising a plurality of said standard voltage difference values; delta ItIs a standard current difference value sequence, the standard current difference value sequence comprises a plurality of standard current difference values; a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region.
In a specific implementation process, according to the capacity fitting model, a plurality of standard voltage difference values and a plurality of standard current difference values of each acquired sample region group are calculated, and standard capacity parameters corresponding to each sample region are obtained through processing. The determined sample area group with the standard capacity can obtain corresponding standard capacity parameters through a capacity fitting model, and the obtained standard capacity parameters can be adjusted along with the change of the sample area group, namely, the standard capacity parameters can be adjusted according to the area needing capacity identification actually.
The capacity fitting model is established according to a linear fitting principle, and the main purpose is to find expression of current difference values and voltage difference values which are adaptive to the rules of the capacity. Therefore, the capacity fitting model is established based on the correspondence between the current difference values and the voltage difference values and the capacities.
And, in the capacity fitting model, each sample region corresponds to one standard voltage difference value sequence and one standard current difference value sequence. The sequence of standard voltage difference values includes a plurality of standard voltage difference values for the corresponding sample region, and the sequence of standard current difference values includes a plurality of standard current difference values for the corresponding sample region. And respectively processing each group of standard voltage difference value sequences and corresponding current difference value sequences through a capacity fitting model, so that a standard capacity parameter and a non-standard capacity search parameter corresponding to each sample region can be obtained.
It should be noted that, a corresponding standard capacity parameter may also be obtained through each sample region, each sample region group may correspond to a plurality of standard capacity parameters, and a corresponding target standard capacity parameter may be obtained by processing a plurality of initial standard capacity parameters. For example, the plurality of standard capacity parameters may be processed by averaging to obtain a target standard capacity parameter corresponding to each corresponding sample area group. And processing a plurality of initial standard capacity parameters by taking the expected values to obtain one standard capacity parameter corresponding to each sample area group. The manner in which the initial standard capacity parameter is processed may be selected based on the accuracy of the standard capacity parameter that is desired.
Further, since the value of the non-capacity parameter is small, the correlation with the capacity of the sample region is too small, and the embodiment of the present application is not a main influence factor.
The capacity fitting model required in step 220 may be the capacity fitting model:
wherein,is a sequence of voltage differences, aSaid sequence of voltage difference values comprises a plurality of said voltage difference values;is a sequence of current differences, said sequence of current differences comprising a plurality of said current differences; a is a capacity parameter corresponding to the area to be measured;and the non-capacity parameters are corresponding to the area to be measured. Therefore, the capacity fitting model is used for processing the voltage difference values and the corresponding current difference values, and the corresponding capacity parameters can be obtained.
On the basis of the above embodiment, step 320 includes:
and obtaining a corresponding capacity parameter model based on a least square principle according to the capacity fitting model.
In a specific implementation process, a capacity parameter model corresponding to the capacity fitting model can be constructed according to the capacity fitting model and the principle of the least square method, so that the capacity parameter model processes the standard voltage difference value and the standard current difference value to obtain a capacity parameter corresponding to the sample region.
Respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity parameter model, and determining a standard capacity parameter corresponding to each sample region; the capacity parameter model is as follows:
wherein a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region; n is the number of corresponding standard voltage difference values or standard current difference values; delta UtiThe ith standard voltage difference value in the standard voltage difference value sequence is obtained; delta ItiIs the standardThe ith said standard current difference in the sequence of current differences; i is a positive integer less than or equal to N.
In a specific implementation process, after the capacity parameter model is constructed, a plurality of standard voltage difference values corresponding to the sample region and a plurality of corresponding standard current difference values are input into the capacity parameter model for processing, so as to obtain a standard capacity parameter corresponding to the sample region. The corresponding standard capacity parameter is solved through the capacity parameter model obtained according to the least square method principle, so that the sum of squares of errors between the solved standard capacity parameter and the actual capacity parameter in the capacity fitting model is minimum, and the standard capacity parameter is more accurate.
It should be noted that, according to the principle of least squares, for the standard capacity parameter a in the capacity fitting model, a corresponding formula one can be obtained:
wherein, YiIs a measured value of YjIs a calculated value. And the optimization judgment basis according to the least square principle is as follows: the sum of the squares of the deviations of the measured values from the calculated values is minimal. Then the formula two can be obtained:
according to the above-mentioned optimization judgment basis, can makeGo to zero even if YiAnd YjThe sum of squared deviations is minimum, and then according to the formula one and the formula two, a formula three can be derived:
thus, optimal a and b should be found to minimize f (a, b) in equation three. And obtaining a corresponding capacity parameter model by solving the partial derivatives of a and b in the formula III. The detailed derivation process is not described herein.
It should be further noted that, the obtaining of the capacity parameter corresponding to the region to be measured in step 220 may also be performed through the calculation of the capacity parameter model, that is, the capacity parameter model is used to process a plurality of voltage difference values and a plurality of current difference values corresponding to the region to be measured, so as to determine the capacity parameter corresponding to the region to be measured; the capacity parameter model is as follows:
wherein, a is a capacity parameter corresponding to the area to be measured;the non-capacity parameter is corresponding to the area to be measured;the number of corresponding voltage differences or current differences;the ith standard voltage difference value in the standard voltage difference value sequence is obtained;the standard current difference value of the ith in the standard current difference value sequence is obtained; i is less than or equal toIs a positive integer of (1).
Fig. 4 is a capacity identification diagram according to an embodiment of the present application, and as shown in fig. 4, after step 320, the method further includes:
and obtaining a capacity identification chart according to the plurality of standard capacity parameters and the capacity fitting model.
In a specific implementation process, according to the obtained multiple standard capacity parameters and the capacity fitting model, a capacity identification map formed by each standard capacity parameter and the corresponding capacity fitting model can be drawn.
Each straight line in the capacity identification map represents the capacity corresponding to one sample area group, and the slope of the straight line is the corresponding standard capacity parameter, as shown in fig. 4, the slope corresponding to the 50KVA straight line is different from the slope corresponding to the 630KVA straight line, and the specific slope magnitude needs to be obtained through the model processing. By drawing the capacity identification graph, when capacity identification is carried out on a plurality of areas to be detected, corresponding straight lines can be drawn in the capacity identification graph according to the obtained capacity parameters and the capacity fitting model, so that the capacity corresponding to the areas to be detected can be judged more intuitively and quickly by directly passing through the capacity identification graph.
On the basis of the above embodiment, step 210 includes:
and acquiring a plurality of phase voltages in a first preset time period of the region to be detected and phase current corresponding to each phase voltage.
And respectively processing a plurality of phase voltages and a plurality of phase currents corresponding to each region to be detected by using a difference value calculation model, and determining a plurality of voltage difference values and a plurality of current difference values corresponding to each region to be detected.
The difference calculation model is as follows:
wherein, Delta UtiIs the ith said voltage difference in the sequence of voltage differences; u shapeai，Ybi，UciAcquiring three-phase voltage for the ith acquisition; delta ItiIs electricityThe ith said current difference in the sequence of current difference values; i isai，Ibi，IciAcquiring three-phase current for the ith acquisition; i is a positive integer less than or equal to N.
In a specific implementation process, a plurality of phase voltages corresponding to the area to be detected and a plurality of phase currents corresponding to the phase voltages can be acquired, and in a primary acquisition process, voltages and currents at two ends of each phase of a three-phase load of the area to be detected can be acquired, namely the three-phase voltages and the three-phase currents. And then inputting the phase voltages and the phase currents into a difference value calculation model for processing, and solving the difference value between the maximum phase voltage and the minimum phase voltage in the three-phase voltages as a voltage difference value and the difference value between the maximum phase current and the minimum phase current in the three-phase currents as a current difference value.
It should be noted that, in step 310, a plurality of standard voltage difference values respectively corresponding to the plurality of sample area groups in the second preset time period and a standard current difference value corresponding to each standard voltage difference value are acquired. The acquisition can also be performed by the steps described above, namely:
and acquiring a plurality of standard phase voltages in a second preset time period of the plurality of sample regions and a standard phase current corresponding to each standard phase voltage.
And respectively processing a plurality of standard phase voltages and a plurality of standard phase currents corresponding to each sample region by using a difference value calculation model, and determining a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region.
The difference calculation model is as follows:
wherein,is the ith station in the standard voltage difference value sequenceThe standard voltage difference value;acquiring three-phase standard phase voltage for the ith acquisition;is the ith standard current difference value in the standard current difference value sequence;acquiring three-phase standard phase current for the ith acquisition; i is a positive integer less than or equal to N.
The specific implementation process is consistent with the above-mentioned voltage difference and current difference of the region to be measured, and details are not repeated here.
And acquiring a plurality of standard voltage difference values respectively corresponding to the plurality of sample area groups in a second preset time period and a standard current difference value corresponding to each standard voltage difference value. Wherein the set of sample regions comprises a plurality of sample regions, each set of sample regions corresponding to a standard capacity.
Fig. 5 is a schematic structural diagram of a power distribution area capacity identification device provided in an embodiment of the present application, and as shown in fig. 5, the embodiment of the present application further provides a power distribution area capacity identification device applied to a transformer with a group of Yyn0 type, including:
the collecting module 510 is configured to collect a plurality of voltage difference values in a first preset time period of the region to be measured and a current difference value corresponding to each voltage difference value.
And the calculating module 520 is configured to input the multiple voltage difference values and the multiple current difference values into a pre-established capacity fitting model to obtain a capacity parameter corresponding to the region to be measured.
A processing module 530, configured to obtain a capacity corresponding to the area to be measured according to the capacity parameter and a plurality of preset standard capacity parameters; the capacity is used for identifying the load energy consumption condition corresponding to the area to be tested.
The apparatus provided in the embodiment of the present application is used for executing the method, and a specific implementation manner thereof is consistent with that of the method, and is not described herein again.
On the basis of the above embodiment, the apparatus further includes:
the sample acquisition module is used for acquiring a plurality of standard voltage difference values respectively corresponding to the plurality of sample area groups in a second preset time period and a standard current difference value corresponding to each standard voltage difference value. Wherein the set of sample regions comprises a plurality of sample regions, each set of sample regions corresponding to a standard capacity.
And the sample processing module is used for processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity fitting model respectively and determining a standard capacity parameter corresponding to each sample region.
The capacity fitting model is as follows:
ΔUt＝a×ΔIt+b
wherein, Delta UtIs a sequence of standard voltage difference values, said sequence of standard voltage difference values comprising a plurality of said standard voltage difference values; delta ItIs a standard current difference value sequence, the standard current difference value sequence comprises a plurality of standard current difference values; a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region.
The apparatus provided in the embodiment of the present application is used for executing the method, and a specific implementation manner thereof is consistent with that of the method, and is not described herein again.
On the basis of the above embodiment, the sample processing module includes:
and the modeling unit is used for obtaining a corresponding capacity parameter model based on a least square method principle according to the capacity fitting model.
And the capacity calculation unit is used for processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region respectively by using the capacity parameter model and determining a standard capacity parameter corresponding to each sample region.
The capacity parameter model is as follows:
wherein a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region; n is the number of corresponding voltage difference values or current difference values; delta UtiThe ith standard voltage difference value in the standard voltage difference value sequence is obtained; delta ItiThe standard current difference value of the ith in the standard current difference value sequence is obtained; i is a positive integer less than or equal to N.
The apparatus provided in the embodiment of the present application is used for executing the method, and a specific implementation manner thereof is consistent with that of the method, and is not described herein again.
On the basis of the above embodiment, the apparatus further includes:
and the image module is used for obtaining a capacity identification map according to the plurality of standard capacity parameters and the capacity fitting model.
The apparatus provided in the embodiment of the present application is used for executing the method, and a specific implementation manner thereof is consistent with that of the method, and is not described herein again.
On the basis of the above embodiment, the acquisition module 510 includes:
and the initial acquisition unit is used for acquiring a plurality of phase voltages in a first preset time period of the area to be detected and the phase current corresponding to each phase voltage.
And the difference value calculation unit is used for respectively processing a plurality of phase voltages and a plurality of phase currents corresponding to each region to be detected by using a difference value calculation model and determining a plurality of voltage difference values and a plurality of current difference values corresponding to each region to be detected.
The difference calculation model is as follows:
wherein, Delta UtiIs the ith said voltage difference in the sequence of voltage differences; u shapeai，Ubi，UciAcquiring three-phase voltage for the ith acquisition; delta ItiIs the ith said current difference in the sequence of current differences; i isai，Ibi，IciAcquiring three-phase current for the ith acquisition; i is a positive integer less than or equal to N.
The apparatus provided in the embodiment of the present application is used for executing the method, and a specific implementation manner thereof is consistent with that of the method, and is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method, and will not be described in too much detail herein.
To sum up, the embodiment of the present application provides a power distribution area capacity identification method, an apparatus, a storage medium, and an electronic device, which are applied to a transformer of Yyn0 type, and the method includes: and collecting a plurality of voltage difference values in a first preset time period of the region to be detected and a current difference value corresponding to each voltage difference value. And inputting the voltage difference values and the current difference values into a pre-established capacity fitting model to obtain capacity parameters corresponding to the area to be measured. And acquiring the capacity corresponding to the area to be measured according to the capacity parameters and a plurality of preset standard capacity parameters. The capacity is used for identifying the load energy consumption condition corresponding to the area to be tested. According to the embodiment of the application, the voltage difference value and the current difference value of the area to be detected are collected, and the corresponding capacity parameter of the area to be detected is obtained according to the capacity fitting model. The capacity corresponding to the area to be detected is obtained by comparing the capacity parameter with the standard capacity parameter, so that the capacity of the area to be detected is rapidly identified, and excessive calculation steps are omitted.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A power distribution area capacity identification method is applied to a Yyn0 transformer, and comprises the following steps:
collecting a plurality of voltage difference values in a first preset time period of a region to be detected and a current difference value corresponding to each voltage difference value;
inputting the voltage difference values and the current difference values into a pre-established capacity fitting model to obtain capacity parameters corresponding to the area to be measured;
acquiring the capacity corresponding to the area to be measured according to the capacity parameters and a plurality of preset standard capacity parameters; the capacity is used for identifying the load energy consumption condition corresponding to the area to be tested.
2. The power distribution area capacity identification method according to claim 1, wherein before the step of collecting a plurality of voltage difference values and a plurality of current difference values within a first preset time of the area to be measured, the method further comprises:
collecting a plurality of standard voltage difference values respectively corresponding to a plurality of sample area groups in a second preset time period and a standard current difference value corresponding to each standard voltage difference value; wherein the set of sample regions comprises a plurality of sample regions, each set of sample regions corresponding to a standard capacity;
respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity fitting model, and determining a standard capacity parameter corresponding to each sample region; wherein:
the capacity fitting model is as follows:
ΔUt＝a×ΔIt+b
wherein, Delta UtIs a sequence of standard voltage difference values, said sequence of standard voltage difference values comprising a plurality of said standard voltage difference values; delta ItIs a standard current difference value sequence, the standard current difference value sequence comprises a plurality of standard current difference values; a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region.
3. The power distribution area capacity identification method according to claim 2, wherein the determining the standard capacity parameter corresponding to each sample region by processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity fitting model comprises:
obtaining a corresponding capacity parameter model based on a least square principle according to the capacity fitting model;
respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity parameter model, and determining a standard capacity parameter corresponding to each sample region;
the capacity parameter model is as follows:
wherein a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region; n is the number of corresponding standard voltage difference values or standard current difference values; delta UtiThe ith standard voltage difference value in the standard voltage difference value sequence is obtained; delta ItiThe standard current difference value of the ith in the standard current difference value sequence is obtained; i is a positive integer less than or equal to N.
4. The distribution area capacity identification method according to any one of claims 2 or 3, wherein after the standard voltage difference values and the standard current difference values corresponding to each sample region are respectively processed by using the capacity fitting model, and the standard capacity parameter corresponding to each sample region is determined, the method further comprises:
and obtaining a capacity identification chart according to the plurality of standard capacity parameters and the capacity fitting model.
5. The distribution room capacity identification method according to any one of claims 1 to 3, wherein the acquiring a plurality of voltage difference values and a current difference value corresponding to each voltage difference value in a first preset time period of the area to be measured comprises:
collecting a plurality of phase voltages in a first preset time period of the region to be detected and phase current corresponding to each phase voltage;
respectively processing a plurality of phase voltages and a plurality of phase currents corresponding to each region to be detected by using a difference value calculation model, and determining a plurality of voltage difference values and a plurality of current difference values corresponding to each region to be detected;
the difference calculation model is as follows:
wherein, Delta UtiIs the ith said voltage difference in the sequence of voltage differences; u shapeai，Ubi，UciAcquiring three-phase voltage for the ith acquisition; delta ItiIs the ith said current difference in the sequence of current differences; i isai，Ibi，IciAcquiring three-phase current for the ith acquisition; i is a positive integer less than or equal to N.
6. A distribution station area capacity recognition device is applied to a transformer with a Yyn0 type group, and comprises the following components:
the acquisition module is used for acquiring a plurality of voltage difference values in a first preset time period of the area to be detected and a current difference value corresponding to each voltage difference value;
the calculation module is used for inputting the voltage difference values and the current difference values into a pre-established capacity fitting model to obtain capacity parameters corresponding to the area to be measured;
the processing module is used for obtaining the capacity corresponding to the area to be measured according to the capacity parameters and a plurality of preset standard capacity parameters; the capacity is used for identifying the load energy consumption condition corresponding to the area to be tested.
7. The distribution substation capacity identification device of claim 6, further comprising:
the sample acquisition module is used for acquiring a plurality of standard voltage difference values respectively corresponding to the plurality of sample area groups in a second preset time period and a standard current difference value corresponding to each standard voltage difference value; wherein the set of sample regions comprises a plurality of sample regions, each set of sample regions corresponding to a standard capacity;
the sample processing module is used for respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity fitting model and determining a standard capacity parameter corresponding to each sample region; wherein:
the capacity fitting model is as follows:
ΔUt＝a×ΔIt+b
wherein, Delta UtIs a sequence of standard voltage difference values, said sequence of standard voltage difference values comprising a plurality of said standard voltage difference values; delta ItIs a standard current difference value sequence, the standard current difference value sequence comprises a plurality of standard current difference values; a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region.
8. The distribution substation capacity identification device of claim 7, wherein the sample processing module comprises:
the modeling unit is used for obtaining a corresponding capacity parameter model based on the least square principle according to the capacity fitting model;
the capacity calculation unit is used for respectively processing a plurality of standard voltage difference values and a plurality of standard current difference values corresponding to each sample region by using the capacity parameter model and determining a standard capacity parameter corresponding to each sample region;
the capacity parameter model is as follows:
wherein a is a standard capacity parameter corresponding to the sample region; b is a non-capacity parameter corresponding to the sample region; n is the number of corresponding standard voltage difference values or standard current difference values; delta UtiThe ith standard voltage difference value in the standard voltage difference value sequence is obtained; delta ItiThe standard current difference value of the ith in the standard current difference value sequence is obtained; i is a positive integer less than or equal to N.
9. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1-5.
10. An electronic device, comprising: a processor, a memory, and a bus, wherein,
the processor and the memory are communicated with each other through the bus;
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any one of claims 1-5.
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