A method, device, medium and equipment for controlling the power generation output of distributed power sources

Abstract

The present application discloses a method, device, medium and equipment for controlling the power generation output of a distributed power source, relating to the technical field of power generation data quality detection. The method includes: decomposing the power generation data of a target distributed power source obtained in advance by using a variational mode decomposition algorithm to obtain a broadband signal component, an oscillating signal component and a harmonic signal component; performing power quality evaluation based on the broadband signal component, the oscillating signal component and the harmonic signal component to obtain a power quality evaluation result; determining a power generation output object of the distributed power source based on the power quality evaluation result; and controlling the distributed power source to deliver electric energy to the power generation output object. The present application can efficiently evaluate the power generation of a distributed power source, and establish a two-stage power quality evaluation method according to a two-stage power signal decomposition model, promote the reliable consumption of the power generation of the distributed power source, and is beneficial to improving the operation reliability of the power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of power generation data quality detection, and particularly to a method, device, medium and equipment for controlling the power generation output of distributed power sources. Background Art

[0002] In recent years, the problem of global warming has become increasingly serious. The gradual shortage of primary energy and the increasing environmental pollution have made the green and low-carbon production and lifestyle gradually become the mainstream of human society, and have been strongly advocated and popularized by various countries. New energy power generation methods have developed rapidly, and distributed power generation forms such as wind power generation, photovoltaic power generation, and geothermal power generation have flourished. Although new energy power generation forms have the advantages of being green and low-carbon, their large-scale grid connection will introduce their volatility and randomness characteristics into the power grid, which will in turn lead to the continuous deterioration of the power quality of the power system and have an adverse impact on the distribution network system of the power grid. In the case of the continuous deterioration of the power quality of the power system, it is necessary to perform efficient power quality analysis on the distributed power generation data, analyze the components of its disturbance signals, and if the disturbance components exceed the grid connection allowable value, disconnect the connection between the distributed power source and the power system to reduce its impact on the power quality of the grid. The existing technologies lack a perfect system architecture in the power quality detection and analysis of distributed power sources, and pay less attention to the whole process of data collection, storage and transmission. Most methods are only applicable to on-site monitoring, with low practicability. When decomposing disturbance signals, most existing technologies adopt a one-time decomposition process, but this simple one-time decomposition method is difficult to fully separate various disturbance components in complex signals, often resulting in under-decomposition or over-decomposition of power signals, affecting subsequent power signal analysis and thus affecting the output control of distributed power sources. Summary of the Invention

[0003] In view of this, the present invention provides a method, device, medium and equipment for controlling the power generation output of distributed power sources, mainly aiming to solve the problem of inaccurate analysis of disturbance signals for distributed power generation data at present.

[0004] To solve the above problems, the present application provides a method for controlling the power generation output of distributed power sources, including:

[0005] Using the variational mode decomposition algorithm to decompose the power generation data of the target distributed power source obtained in advance, and obtaining broadband signal components, oscillating signal components and harmonic signal components;

[0006] Based on the broadband signal components, the oscillating signal components and the harmonic signal components, performing power quality evaluation to obtain a power quality evaluation result;

[0007] Based on the power quality evaluation result, determining the power generation output object of the distributed power source;

[0008] Control the distributed power source to deliver electrical energy to the power generation output object.

[0009] Optionally, before decomposing the power generation data of the target distributed power source obtained in advance by using the variational mode decomposition algorithm, the method further includes: obtaining the power generation data of the target distributed power source;

[0010] The obtaining of the power generation data of the target distributed power source specifically includes:

[0011] Obtain the original power generation data of the target distributed power source by real-time acquisition;

[0012] Perform data cleaning on the original power generation data to obtain the first power generation data;

[0013] Perform per-unit processing on the first power generation data to obtain the power generation data.

[0014] Optionally, the using of the variational mode decomposition algorithm to decompose the power generation data of the target distributed power source obtained in advance to obtain broadband signal components, oscillatory signal components, and harmonic signal components specifically includes:

[0015] Based on a first preset quadratic penalty parameter, use the variational mode decomposition algorithm to decompose the power generation data of the target distributed power source obtained in advance to obtain narrowband signal components and broadband signal components, where the narrowband signal components include fundamental frequency signal components, initial harmonic signal components, and oscillatory signal components;

[0016] Based on a second preset quadratic penalty parameter, use the variational mode decomposition algorithm to decompose the initial harmonic signal components to obtain each of the harmonic signal components.

[0017] Optionally, based on a first preset quadratic penalty parameter, using the variational mode decomposition algorithm to decompose the power generation data of the target distributed power source obtained in advance to obtain narrowband signal components and broadband signal components specifically includes:

[0018] Use the variational mode decomposition algorithm to construct a first initial objective function for decomposing the power generation data;

[0019] Based on the first preset quadratic penalty parameter and the initial objective function, use the augmented Lagrangian algorithm to perform function construction to obtain a first objective function;

[0020] Use the alternating direction multiplier algorithm and the first objective function to decompose the power generation data to obtain narrowband signal components and broadband signal components.

[0021] Optionally, the variational mode decomposition algorithm is used to decompose the initial harmonic signal component based on the second preset quadratic penalty parameter to obtain each harmonic signal component, specifically including:

[0022] Construct a second initial objective function for signal decomposition of the initial harmonic signal component by using the variational mode decomposition algorithm;

[0023] Based on the second preset quadratic penalty parameter and the second initial objective function, use the augmented Lagrangian algorithm to construct a function to obtain a second objective function;

[0024] Use the alternating direction multiplier algorithm and the second objective function to decompose the initial harmonic signal component to obtain each harmonic signal component.

[0025] Optionally, the power quality assessment is performed based on the broadband signal component, the oscillation signal component, and the harmonic signal component to obtain a power quality assessment result, specifically including:

[0026] Perform calculation and processing based on the broadband signal component, the oscillation signal component, and the distributed power generation to obtain a first index value;

[0027] Perform calculation and processing based on the harmonic signal component and the distributed power generation to obtain a second index value;

[0028] When the first index value is less than or equal to a first preset threshold, the second index value is greater than or equal to a second preset threshold and less than or equal to a third preset threshold, a first power quality assessment result is obtained;

[0029] When the first index value is greater than the first preset threshold, and / or the second index value is less than the second preset threshold or the second index value is greater than the third preset threshold, a second power quality assessment result is obtained.

[0030] Optionally, determining the power generation output object of the distributed power source based on the power quality assessment result specifically includes:

[0031] When the power quality assessment result is the first power quality assessment result, the superior power grid is determined as the power generation output object of the distributed power source;

[0032] When the power quality assessment result is the second power quality assessment result, the energy storage unit is determined as the power generation output object of the distributed power source.

[0033] To solve the above problems, the present application provides a distributed power generation output control device, including:

[0034] A signal decomposition module, which is used to perform signal decomposition on the power generation data of a pre-acquired target distributed power source by using a variational mode decomposition algorithm to obtain a broadband signal component, an oscillating signal component, and a harmonic signal component;

[0035] A power quality evaluation module, which is used to perform power quality evaluation based on the broadband signal component, the oscillating signal component, and the harmonic signal component to obtain a power quality evaluation result;

[0036] A determination module, which is used to determine the power generation output object of the distributed power source based on the power quality evaluation result;

[0037] A control module, which is used to control the distributed power source to deliver electric energy to the power generation output object.

[0038] To solve the above problems, the present application provides a storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned distributed power source power generation output control method are implemented.

[0039] To solve the above problems, the present application provides an electronic device including at least a memory and a processor. A computer program is stored on the memory, and when the processor executes the computer program on the memory, the steps of the above-mentioned distributed power source power generation output control method are implemented.

[0040] The beneficial effects in the present application: The present application performs signal decomposition on the power generation data of a pre-acquired target distributed power source by using a variational mode decomposition algorithm to obtain a broadband signal component, an oscillating signal component, and a harmonic signal component; adopts a two-stage decomposition method to perform signal decomposition on the power generation data of the target distributed power source, and solves the problem that in the prior art, when decomposing a disturbance signal, a one-time decomposition process is often used, making it difficult to fully separate various disturbance components in a complex signal, often resulting in under-decomposition or over-decomposition of the power signal, which affects subsequent power signal analysis. Perform power quality evaluation based on the broadband signal component, the oscillating signal component, and the harmonic signal component to obtain a power quality evaluation result; determine the power generation output object of the distributed power source based on the power quality evaluation result; control the distributed power source to deliver electric energy to the power generation output object. The present application can efficiently evaluate the power generation of distributed power sources, and establish a two-stage power evaluation method according to the two-stage power signal decomposition model, which promotes the reliable consumption of distributed power generation and is conducive to improving the operation reliability of the power grid.

[0041] The above description is only an overview of the technical solution of the present invention. In order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the specification. And in order to make the above and other objects, features, and advantages of the present invention more obvious and understandable, the following specifically describes the embodiments of the present invention. Brief Description of the Drawings

[0042] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0043] Figure 1 A schematic flowchart of a method for controlling the power generation output of a distributed power source provided by an embodiment of the present application is shown;

[0044] Figure 2 A schematic flowchart of a method for controlling the power generation output of a distributed power source provided by another embodiment of the present application is shown;

[0045] Figure 3 A structural block diagram of a device for controlling the power generation output of a distributed power source provided by another embodiment of the present application is shown. Detailed Embodiments

[0046] Reference is made herein to the various aspects and features of the present application with reference to the drawings.

[0047] It should be understood that various modifications can be made to the embodiments applied herein. Therefore, the above description should not be considered as a limitation, but only as an example of the embodiments. Those skilled in the art will think of other modifications within the scope and spirit of the present application.

[0048] The drawings included in the specification and constituting a part of the specification show the embodiments of the present application, and together with the general description of the present application given above and the detailed description of the embodiments given below, are used to explain the principles of the present application.

[0049] These and other features of the present application will become apparent from the following description of the preferred forms of the embodiments given by way of non-limiting examples with reference to the drawings.

[0050] It should also be understood that although the present application has been described with reference to some specific examples, those skilled in the art can surely implement many other equivalent forms of the present application.

[0051] When combined with the drawings, the above and other aspects, features, and advantages of the present application will become more apparent in view of the following detailed description.

[0052] Specific embodiments of the present application will be described hereinafter with reference to the accompanying drawings; however, it should be understood that the embodiments claimed are merely examples of the present application and can be implemented in various ways. Well-known and / or repetitive functions and structures are not described in detail to avoid obscuring the present application with unnecessary or redundant details. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but are merely a basis and representative basis for the claims to teach those skilled in the art to use the present application in substantially any suitable detailed structure in a variety of ways.

[0053] This specification may use the phrases "in one embodiment", "in another embodiment", "in yet another embodiment", or "in other embodiments", all of which may refer to one or more of the same or different embodiments according to the present application.

[0054] An embodiment of the present application provides a method for controlling the power generation output of a distributed power source, as Figure 1 shown, including:

[0055] Step S101: Decompose the power generation data of a pre-acquired target distributed power source using a variational mode decomposition algorithm to obtain a broadband signal component, an oscillating signal component, and a harmonic signal component;

[0056] In the specific implementation process of this step, the present application first uses a variational mode decomposition algorithm to perform the first-stage signal decomposition on the power generation data of the pre-acquired target distributed power source to obtain a narrowband signal component and a broadband signal component; then uses a variational mode decomposition algorithm to perform the second-stage signal decomposition on the initial harmonic signal component in the narrowband signal component to obtain a harmonic signal component. The two-stage signal decomposition method can achieve accurate signal decomposition of the disturbance signal.

[0057] Step S102: Perform power quality assessment based on the broadband signal component, the oscillating signal component, and the harmonic signal component to obtain a power quality assessment result;

[0058] In the specific implementation process of this step, first perform calculation processing based on the broadband signal component and the oscillating signal component to obtain a first index value; then perform calculation processing based on the harmonic signal component to obtain a second index value; finally, perform power quality assessment based on the first index value and the second index value to obtain a power quality assessment result.

[0059] Step S103: Determine the power generation output object of the distributed power source based on the power quality assessment result;

[0060] In the specific implementation process of this step, when both the first index value and the second index value meet the preset conditions, the superior power grid is determined as the power generation output object of the distributed power source; when any one of the first index value and the second index value does not meet the preset conditions, the energy storage unit is determined as the power generation output object of the distributed power source. This application stipulates that the distributed power generation can be output to the power grid for power supply only after the distributed power generation data meets the two-stage evaluation. According to the two-stage decomposition of the power signal, a two-stage power evaluation method is established to promote the reliable consumption of distributed power generation and improve the operation reliability of the power grid.

[0061] Step S104: Control the distributed power source to deliver electric energy to the power generation output object.

[0062] In the specific implementation process of this step, when both the first index value and the second index value meet the preset conditions, control the distributed power source to deliver electric energy to the superior power grid to supply power to the user side; when any one of the first index value and the second index value does not meet the preset conditions, control the distributed power source to deliver electric energy to the energy storage unit for energy storage.

[0063] This application uses the variational mode decomposition algorithm to decompose the power generation data of the target distributed power source obtained in advance, and obtains the broadband signal component, the oscillating signal component and the harmonic signal component; uses the two-stage decomposition method to decompose the power generation data of the target distributed power source, and solves the problem that in the prior art, when decomposing the disturbance signal, a one-time decomposition process is often used, which is difficult to fully separate various disturbance components in the complex signal, often resulting in under-decomposition or over-decomposition of the power signal, affecting the subsequent power signal analysis. Based on the broadband signal component, the oscillating signal component and the harmonic signal component, a power quality evaluation is carried out to obtain a power quality evaluation result; based on the power quality evaluation result, the power generation output object of the distributed power source is determined; the distributed power source is controlled to deliver electric energy to the power generation output object. This application can efficiently evaluate the distributed power generation, and according to the two-stage power signal decomposition model, a two-stage power evaluation method is established to promote the reliable consumption of distributed power generation and improve the operation reliability of the power grid.

[0064] Another embodiment of this application provides another method for controlling the power generation output of a distributed power source, as Figure 2 shown:

[0065] Step S201: Obtain the power generation data of the target distributed power source;

[0066] In the specific implementation process of this step, the original power generation data of the target distributed power source is collected in real time; in order to more efficiently obtain the power generation data of the distributed power source and provide solid data support for the subsequent research and analysis of the characteristics of the distributed power generation data, this application first measures and collects the power generation data of the distributed power source based on various power data measurement devices such as synchronous phasor measurement units (PMUs), potential transformers (PTs), and current transformers (CTs). These data sources mainly include new energy power generation devices such as photovoltaic power generation units and wind power generation units. The collected power waveform data will be directly stored in the local storage device to provide an original and real data basis for analysis and research. In order to realize the remote transmission and intelligent analysis of distributed power source data, this application aggregates the power signal data in all data transmission devices and storage devices to the intranet cloud platform through an intelligent gateway. The terminal devices of the intranet cloud platform are only allowed to access through the intranet to ensure data security and effectively protect user privacy information. The intelligent gateway adopted by the present invention supports multiple network systems, including GPRS, 4G, 5G, 1.8GHz power line wireless private network, 230MHz power wireless private network, and fiber optic private network, etc., to adapt to different communication requirements. At the same time, the present invention is compatible with multiple communication protocols, such as TCP, DL / T645, DL / T698, CDT, Modbus, UDP, etc., to ensure the flexibility and reliability of data transmission. Data cleaning is performed on the original power generation data to obtain the first power generation data; specifically, each abnormal data is identified from the original power generation data; the abnormal data may be generated due to equipment failures, transmission errors, or other reasons. Based on each abnormal data, data screening is performed on the original power generation data to obtain the neighborhood power generation data corresponding to each abnormal data. The neighborhood power generation data includes information such as the frequency, amplitude, and phase of the power generation waveform. For each identified abnormal data point, the waveform characteristics of the normal data on both sides are extracted. These characteristics include frequency, amplitude, and phase information, which are the basis for constructing the standard power signal waveform. Based on the neighborhood power generation data, the power generation waveform corresponding to the abnormal data is reconstructed to obtain the standard code power signal waveform corresponding to each abnormal data; based on the extracted normal data characteristics, the standard power signal waveform is constructed between the abnormal data points. Mathematical models, signal processing algorithms, or machine learning methods can be used to fit or predict missing data. The constructed standard power signal waveform is used to supplement the missing data. It can ensure that the data is continuous in time and consistent with the original data in waveform characteristics. Per-unit value processing is performed on the first power generation data to obtain the power generation data. Specifically, since there are differences in models and specifications among different distributed power source devices (such as the rated values of voltage and current), this application performs per-unit value processing on them respectively based on the rated values of voltage and current of each distributed power source generation, so as to ensure the comparability of data between different devices.The calculation mathematical formula for per-unit processing of voltage values can be shown by the following formula (1):

[0067]

[0068] Among them, U * is the per-unit value of voltage, U real is the actual value of the distributed power generation voltage, and U base is the reference value of the distributed power generation voltage.

[0069] Step S202: Based on the first preset quadratic penalty parameter, use the variational mode decomposition algorithm to decompose the power generation data of the pre-acquired target distributed power source to obtain narrowband signal components and broadband signal components. The narrowband signal components include fundamental frequency signal components, initial harmonic signal components, and oscillation signal components;

[0070] In the specific implementation process of this step, the variational mode decomposition algorithm is used to construct the first initial objective function for signal decomposition of the power generation data. Specifically, the goal of the variational mode decomposition algorithm is to transform the variational problem of relevant mode components into solving the modal function that minimizes the sum of the estimated bandwidths of each mode component. The mathematical expression of the first initial objective function can be shown by the following formula (2):

[0071]

[0072] Among them, is the derivative with respect to time t, used to represent the change in the signal frequency of the mode component u k (t); is the Hilbert transform kernel, used to transform u k (t) into an analytic signal; * is the convolution operator; is the frequency offset, ensuring that the mode component u k (t) is concentrated around its center frequency ω k ; Among them, the power generation data is the mathematical expression of the original signal f, which can be shown by the following formula (3):

[0073] f(t) = u1(t) + u2(t) + … + u k (t) (3)

[0074] Among them, the component signal u k (t) is a signal with a center frequency and a certain bandwidth. Based on the first preset quadratic penalty parameter and the initial objective function, the augmented Lagrangian algorithm is used to construct a function to obtain the first objective function. The mathematical expression of the first objective function can be shown by the following formula (4):

[0075]

[0076]

[0077] It is incorporated into the first objective function as a constraint condition. The value of the first preset quadratic penalty parameter can be 300. When α = 300, since the quadratic penalty term parameter is small, the limitation on the bandwidth of the modal component is small. Therefore, in the first-stage power signal decomposition, the broadband signal and the narrowband signal in the power signal can be separated, and at the same time, the oscillation component can be separated from other fundamental frequency components. The first preset quadratic penalty parameter can be set according to actual needs. The alternating direction multiplier algorithm and the first objective function are used to decompose the power generation data to obtain the narrowband signal component and the broadband signal component. Specifically, it includes the following steps:

[0078] Step 1: Initialization λ 1 , n, and assign the initial value to zero;

[0079] Step 2: Iteratively update according to the following mathematical formula (5) The real part of its inverse Fourier transform is the required time-domain component signal u k (n+1) ;

[0080]

[0081] Step 3: Iteratively update ω according to the following formula (6) k (n+1) ;

[0082]

[0083] Step 4: Iteratively update λ according to the following formula (7) (n+1) ;

[0084]

[0085] Step 5: Determine whether the iteration termination condition is reached; the termination condition can be expressed by the following formula (8)

[0086]

[0087] When the difference between the modal components separated in two adjacent iteration rounds meets the preset accuracy condition, the iteration ends, and the narrowband signal component and the broadband signal component are obtained. Another method for determining whether the iteration termination condition is reached is that when the iteration round reaches the preset iteration round threshold, the iteration ends, and the narrowband signal component and the broadband signal component are obtained.

[0088] Step S203: Decompose the initial harmonic signal component by using the variational mode decomposition algorithm based on the second preset quadratic penalty parameter to obtain each harmonic signal component;

[0089] In the specific implementation process of this step, the variational mode decomposition algorithm is used to construct a second initial objective function for decomposing the initial harmonic signal component; based on the second preset quadratic penalty parameter and the second initial objective function, the augmented Lagrangian algorithm is used to construct a function to obtain a second objective function; the mathematical expression of the second objective function can be shown by the following formula (9):

[0090]

[0091] where α2 is the second preset quadratic penalty parameter, and the value of the second preset quadratic penalty parameter can be 2000. All component signals other than the fundamental frequency component, oscillation component, and broadband component obtained in the first stage are combined into a combined signal, and the combined signal is decomposed for the power signal in the second stage. By setting α2 = 2000, the main harmonic components of each part of the power data can be obtained. The initial harmonic signal component is decomposed by using the alternating direction multiplier algorithm and the second objective function to obtain each harmonic signal component.

[0092] Step S204: Perform calculation processing based on the broadband signal component, the oscillation signal component, and the distributed power generation to obtain a first index value;

[0093] In the specific implementation process of this step, the mathematical expression for calculating the first index value can be shown by the following formula (10):

[0094]

[0095] where ∑P wide is the sum of the broadband signal components; ∑P osci is the sum of the oscillation signal components; ∑P G is the sum of the distributed power generation; is the first preset threshold, which is the tolerance of the superior power grid for unstable signals, namely broadband signals and oscillation signals. This parameter is sent from the superior power grid dispatching center to the centralized monitoring master station.

[0096] λ1 is the first index value. When the first index value does not meet the power grid stability requirements, the distributed power station terminal controls the power generation output to the energy storage unit.

[0097] Step S205: Perform calculation processing based on the harmonic signal component and the distributed power generation to obtain a second index value;

[0098] In the specific implementation process of this step, the mathematical formula for calculating the second index value is as shown in the following formula (11):

[0099]

[0100] where ∑P i ' is the sum of the i-th harmonic signal components; λ i ' is the proportionality parameter of the i-th harmonic signal component; is the second preset threshold, which is the real-time minimum allowable value of the proportionality parameter of the i-th harmonic signal component by the power grid; is the third preset threshold, which is the real-time maximum allowable value of the proportionality parameter of the i-th harmonic signal component by the power grid; and are obtained by the centralized monitoring master station according to the real-time operating state of the power grid; when the proportionality parameter of any harmonic signal component does not meet the real-time stability requirements of the power grid, the centralized monitoring master station controls the power generation output of the distributed power source to the energy storage unit.

[0101] Step S206: When the first index value is less than or equal to the first preset threshold, the second index value is greater than or equal to the second preset threshold and less than or equal to the third preset threshold, a first power quality assessment result is obtained;

[0102] In the specific implementation process of this step, when the first index value is less than or equal to the first preset threshold, the second index value is greater than or equal to the second preset threshold and less than or equal to the third preset threshold, and when the first index value and the second index value are respectively within the predetermined index range, both the first index value and the second index value meet the requirements of power grid stability, and the power generation data of the target distributed power source can be transmitted to the superior power grid to supply power to the user side.

[0103] Step S207: When the first index value is greater than the first preset threshold, and / or the second index value is less than the second preset threshold or the second index value is greater than the third preset threshold, a second power quality assessment result is obtained;

[0104] In the specific implementation process of this step, when the first index value is greater than the first preset threshold, and / or the second index value is less than the second preset threshold or the second index value is greater than the third preset threshold, a second power quality assessment result is obtained; when any one of the first index value and the second index value does not meet the requirements of power grid stability, in order to maintain the stability of the power grid, the power generation data of the target distributed power source can be transmitted to the energy storage unit for electrical energy storage.

[0105] Step S208: When the power quality assessment result is the first power quality assessment result, determine the upstream power grid as the power generation output object of the distributed power source;

[0106] In the specific implementation process of this step, when both the first index value and the second index value meet the preset conditions, determine the upstream power grid as the power generation output object of the distributed power source, so as to control the distributed power source to transmit electric energy to the upstream power grid for power supply to the user side.

[0107] Step S209: When the power quality assessment result is the second power quality assessment result, determine the energy storage unit as the power generation output object of the distributed power source;

[0108] In the specific implementation process of this step, when any one of the first index value and the second index value does not meet the preset conditions, determine the energy storage unit as the power generation output object of the distributed power source, so as to control the distributed power source to transmit electric energy to the energy storage unit for electric energy storage.

[0109] Step S210: Control the distributed power source to transmit electric energy to the power generation output object.

[0110] In the specific implementation process of this step, when both the first index value and the second index value meet the preset conditions, control the distributed power source to transmit electric energy to the upstream power grid for power supply to the user side; when any one of the first index value and the second index value does not meet the preset conditions, control the distributed power source to transmit electric energy to the energy storage unit for electric energy storage.

[0111] This application obtains the power generation data of the target distributed power source; uses the variational mode decomposition algorithm based on the first preset quadratic penalty parameter to decompose the power generation data of the pre-obtained target distributed power source, and obtains narrowband signal components and broadband signal components. The narrowband signal components include fundamental frequency signal components, initial harmonic signal components, and oscillation signal components; uses the variational mode decomposition algorithm based on the second preset quadratic penalty parameter to decompose the initial harmonic signal components to obtain each harmonic signal component. This application first divides the power disturbance signal of the distributed power source into two categories: narrowband signals and broadband signals, and designs a two-stage disturbance signal decomposition method based on the frequency band characteristics of the disturbance signal. Through this method, complex power disturbance signals can be effectively decomposed into narrowband and broadband disturbance signals, simplifying the complexity of power disturbance signals and facilitating further analysis and processing. The two-stage signal decomposition method can accurately identify and decompose complex signals, improving the accuracy of subsequent signal quality assessment. Calculate and process based on the broadband signal components, the oscillation signal components, and the distributed power generation to obtain a first index value; calculate and process based on the harmonic signal components and the distributed power generation to obtain a second index value; when the first index value is greater than or equal to the first preset threshold and less than or equal to the second preset threshold, and the second index value is greater than or equal to the third preset threshold and less than or equal to the fourth preset threshold, obtain a first power quality assessment result; when the first index value is less than the first preset threshold or the first index value is greater than the second preset threshold, and / or the second index value is less than the third preset threshold or the second index value is greater than the fourth preset threshold, obtain a second power quality assessment result; when the power quality assessment result is the first power quality assessment result, determine the superior power grid as the power generation output object of the distributed power source; this application establishes a distributed power generation assessment model, which can efficiently evaluate the distributed power generation, and based on the two-stage power signal decomposition model, establishes a two-stage power assessment method, promoting the reliable consumption of distributed power generation and facilitating the improvement of the operation reliability of the power grid. When the power quality assessment result is the second power quality assessment result, determine the energy storage unit as the power generation output object of the distributed power source; control the distributed power source to deliver electric energy to the power generation output object. The method of this application can improve the safety and stability of the operation of the power system.

[0112] Another embodiment of this application provides a distributed power generation output control device, as Figure 3 shown, including:

[0113] A signal decomposition module 1, configured to use the variational mode decomposition algorithm to decompose the power generation data of the pre-obtained target distributed power source to obtain broadband signal components, oscillation signal components, and harmonic signal components;

[0114] A power quality evaluation module 2, configured to perform power quality evaluation based on the broadband signal component, the oscillating signal component, and the harmonic signal component to obtain a power quality evaluation result;

[0115] A determination module 3, configured to determine a power generation output object of the distributed power source based on the power quality evaluation result;

[0116] A control module 4, configured to control the distributed power source to deliver electric energy to the power generation output object.

[0117] In a specific implementation process, the distributed power source power generation output control device further includes: a power generation data acquisition module, and the power generation data acquisition module is specifically configured to: acquire the original power generation data of the target distributed power source in real time; perform data cleaning on the original power generation data to obtain first power generation data; perform per-unit processing on the first power generation data to obtain the power generation data.

[0118] In a specific implementation process, the signal decomposition module 1 is specifically configured to: perform signal decomposition on the power generation data of the target distributed power source acquired in advance by using a variational mode decomposition algorithm based on a first preset quadratic penalty parameter to obtain a narrowband signal component and a broadband signal component, where the narrowband signal component includes a fundamental frequency signal component, an initial harmonic signal component, and an oscillating signal component; perform signal decomposition on the initial harmonic signal component by using the variational mode decomposition algorithm based on a second preset quadratic penalty parameter to obtain each harmonic signal component.

[0119] In a specific implementation process, the signal decomposition module 1 is further configured to: use a variational mode decomposition algorithm to construct a first initial objective function for performing signal decomposition on the power generation data; perform function construction by using an augmented Lagrangian algorithm based on the first preset quadratic penalty parameter and the initial objective function to obtain a first objective function; perform signal decomposition on the power generation data by using an alternating direction multiplier algorithm and the first objective function to obtain a narrowband signal component and a broadband signal component.

[0120] In a specific implementation process, the signal decomposition module 1 is further configured to: use a variational mode decomposition algorithm to construct a second initial objective function for performing signal decomposition on the initial harmonic signal component; perform function construction by using an augmented Lagrangian algorithm based on the second preset quadratic penalty parameter and the second initial objective function to obtain a second objective function; perform signal decomposition on the initial harmonic signal component by using an alternating direction multiplier algorithm and the second objective function to obtain each harmonic signal component.

[0121] In the specific implementation process, the power quality evaluation module 2 is specifically configured to: perform calculation and processing based on the broadband signal component, the oscillation signal component, and the distributed power generation amount to obtain a first index value; perform calculation and processing based on the harmonic signal component and the distributed power generation amount to obtain a second index value; when the first index value is less than or equal to a first preset threshold, the second index value is greater than or equal to a second preset threshold and less than or equal to a third preset threshold, obtain a first power quality evaluation result; when the first index value is greater than the first preset threshold, and / or the second index value is less than the second preset threshold or the second index value is greater than the third preset threshold, obtain a second power quality evaluation result.

[0122] In the specific implementation process, the determination module 3 is specifically configured to: when the power quality evaluation result is the first power quality evaluation result, determine the superior power grid as the power generation output object of the distributed power source; when the power quality evaluation result is the second power quality evaluation result, determine the energy storage unit as the power generation output object of the distributed power source.

[0123] In this application, the variational mode decomposition algorithm is used to decompose the power generation data of the target distributed power source obtained in advance, and the broadband signal component, the oscillation signal component, and the harmonic signal component are obtained; the two-stage decomposition method is used to decompose the power generation data of the target distributed power source, which solves the problem that in the prior art, when decomposing the disturbance signal, a one-time decomposition process is often used, making it difficult to fully separate various disturbance components in the complex signal, often resulting in under-decomposition or over-decomposition of the power signal, which affects the subsequent power signal analysis. Based on the broadband signal component, the oscillation signal component, and the harmonic signal component, the power quality is evaluated to obtain the power quality evaluation result; based on the power quality evaluation result, the power generation output object of the distributed power source is determined; the distributed power source is controlled to deliver electric energy to the power generation output object. This application can efficiently evaluate the distributed power generation, and according to the two-stage power signal decomposition model, establish a two-stage power evaluation method, which promotes the reliable consumption of the distributed power generation and is beneficial to improving the operation reliability of the power grid.

[0124] Another embodiment of this application provides a storage medium, which stores a computer program. When the computer program is executed by a processor, the following method steps are implemented:

[0125] Step 1: Use the variational mode decomposition algorithm to decompose the power generation data of the target distributed power source obtained in advance to obtain the broadband signal component, the oscillation signal component, and the harmonic signal component;

[0126] Step 2: Based on the broadband signal component, the oscillating signal component, and the harmonic signal component, perform power quality assessment to obtain a power quality assessment result;

[0127] Step 3: Based on the power quality assessment result, determine the power generation output object of the distributed power source;

[0128] Step 4: Control the distributed power source to deliver electrical energy to the power generation output object.

[0129] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in this application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0130] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above.

[0131] For the specific implementation process of the above method steps, reference can be made to the embodiments of any of the above distributed power source power generation output control methods, and this embodiment will not be repeated here.

[0132] This application decomposes the power generation data of a pre-acquired target distributed power source by using a variational mode decomposition algorithm to obtain broadband signal components, oscillatory signal components, and harmonic signal components; and decomposes the power generation data of the target distributed power source by using a two-stage decomposition method, solving the problem that in the prior art, when decomposing a disturbance signal, a one-time decomposition process is often used, making it difficult to fully separate various disturbance components in a complex signal, often resulting in under-decomposition or over-decomposition of the power signal, which affects subsequent power signal analysis. Based on the broadband signal components, the oscillatory signal components, and the harmonic signal components, power quality assessment is performed to obtain a power quality assessment result; based on the power quality assessment result, the power generation output object of the distributed power source is determined; and the distributed power source is controlled to deliver electric energy to the power generation output object. This application can efficiently evaluate the power generation of a distributed power source, and according to a two-stage power signal decomposition model, establish a two-stage power assessment method, promoting the reliable consumption of distributed power generation and facilitating the improvement of the operation reliability of the power grid.

[0133] Another embodiment of this application provides an electronic device, which can be a server. The electronic device includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes non-volatile and / or volatile storage media, and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external client through a network connection. When the electronic device program is executed by the processor, it realizes the functions or steps on the server side of a distributed power source power generation output control method.

[0134] In one embodiment, an electronic device is provided, which can be a client. The electronic device includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external server through a network connection. When the electronic device program is executed by the processor, it realizes the functions or steps on the client side of a distributed power source power generation output control method.

[0135] Another embodiment of this application provides an electronic device, at least including a memory and a processor. A computer program is stored on the memory. When the processor executes the computer program on the memory, the following method steps are realized:

[0136] Step 1: Use the variational mode decomposition algorithm to decompose the power generation data of the pre-acquired target distributed power source to obtain broadband signal components, oscillatory signal components, and harmonic signal components;

[0137] Step 2: Based on the broadband signal components, the oscillatory signal components, and the harmonic signal components, perform power quality assessment to obtain a power quality assessment result;

[0138] Step 3: Based on the power quality assessment result, determine the power generation output object of the distributed power source;

[0139] Step 4: Control the distributed power source to deliver electric energy to the power generation output object.

[0140] For the specific implementation process of the above method steps, reference can be made to the embodiments of any of the above distributed power source power generation output control methods, and this embodiment will not be repeated here.

[0141] In this application, the variational mode decomposition algorithm is used to decompose the power generation data of the pre-acquired target distributed power source to obtain broadband signal components, oscillatory signal components, and harmonic signal components; a two-stage decomposition method is used to decompose the power generation data of the target distributed power source, solving the problem in the prior art that when decomposing disturbance signals, a one-time decomposition process is often used, making it difficult to fully separate various disturbance components in complex signals, often resulting in under-decomposition or over-decomposition of power signals, which affects subsequent power signal analysis. Based on the broadband signal components, the oscillatory signal components, and the harmonic signal components, perform power quality assessment to obtain a power quality assessment result; based on the power quality assessment result, determine the power generation output object of the distributed power source; control the distributed power source to deliver electric energy to the power generation output object. This application can efficiently evaluate the power generation of distributed power sources, and based on the two-stage power signal decomposition model, establish a two-stage power assessment method, which promotes the reliable consumption of distributed power generation and is conducive to improving the operation reliability of the power grid.

[0142] The above embodiments are only exemplary embodiments of this application and are not used to limit this application. The protection scope of this application is defined by the claims. Those skilled in the art can make various modifications or equivalent replacements within the essence and protection scope of this application, and such modifications or equivalent replacements should also be regarded as falling within the protection scope of this application.

Claims

1. A method for controlling the power generation output of a distributed power source, characterized in that, Including: Decompose the power generation data of the pre-acquired target distributed power source by using the variational mode decomposition algorithm to obtain a broadband signal component, an oscillating signal component, and a harmonic signal component; Perform power quality assessment based on the broadband signal component, the oscillating signal component, and the harmonic signal component to obtain a power quality assessment result; Determine the power generation output object of the distributed power source based on the power quality assessment result; Control the distributed power source to deliver electric energy to the power generation output object; Decompose the power generation data of the pre-acquired target distributed power source by using the variational mode decomposition algorithm based on a first preset quadratic penalty parameter to obtain a narrowband signal component and a broadband signal component, where the narrowband signal component includes a fundamental frequency signal component, an initial harmonic signal component, and an oscillating signal component; Decompose the initial harmonic signal component by using the variational mode decomposition algorithm based on a second preset quadratic penalty parameter to obtain each harmonic signal component.

2. The method according to claim 1, characterized in that, Before decomposing the power generation data of the pre-acquired target distributed power source by using the variational mode decomposition algorithm, the method further includes: obtaining the power generation data of the target distributed power source; The obtaining the power generation data of the target distributed power source specifically includes: Real-time collect the original power generation data of the target distributed power source; Perform data cleaning on the original power generation data to obtain first power generation data; Perform per-unit processing on the first power generation data to obtain the power generation data.

3. The method according to claim 1, wherein Decompose the power generation data of the pre-acquired target distributed power source by using the variational mode decomposition algorithm based on a first preset quadratic penalty parameter to obtain a narrowband signal component and a broadband signal component, specifically including: Use the variational mode decomposition algorithm to construct a first initial objective function for decomposing the power generation data; Based on the first preset quadratic penalty parameter and the initial objective function, use the augmented Lagrangian algorithm to perform function construction to obtain a first objective function; Use the alternating direction multiplier algorithm and the first objective function to decompose the power generation data to obtain a narrowband signal component and a broadband signal component.

4. The method according to claim 3, wherein The decomposing the initial harmonic signal component by using the variational mode decomposition algorithm based on a second preset quadratic penalty parameter to obtain each harmonic signal component specifically includes: Use the variational mode decomposition algorithm to construct a second initial objective function for decomposing the initial harmonic signal component; Based on the second preset quadratic penalty parameter and the second initial objective function, use the augmented Lagrangian algorithm to perform function construction to obtain a second objective function; Use the alternating direction multiplier algorithm and the second objective function to decompose the initial harmonic signal component to obtain each harmonic signal component.

5. The method according to claim 1, characterized in that, The performing power quality assessment based on the broadband signal component, the oscillating signal component, and the harmonic signal component to obtain a power quality assessment result specifically includes: Perform calculation processing based on the broadband signal component, the oscillating signal component, and the distributed power generation amount to obtain a first index value; Performing calculation and processing based on the harmonic signal component and the distributed power generation amount to obtain a second index value; When the first index value is less than or equal to a first preset threshold, the second index value is greater than or equal to a second preset threshold and less than or equal to a third preset threshold, a first power quality evaluation result is obtained; When the first index value is greater than the first preset threshold, and / or the second index value is less than the second preset threshold or the second index value is greater than the third preset threshold, a second power quality evaluation result is obtained.

6. The method according to claim 5, wherein Determining the power generation output object of the distributed power source based on the power quality evaluation result specifically includes: When the power quality evaluation result is the first power quality evaluation result, determining the superior power grid as the power generation output object of the distributed power source; When the power quality evaluation result is the second power quality evaluation result, determining the energy storage unit as the power generation output object of the distributed power source.

7. A distributed power generation output control device, characterized in that Including: A signal decomposition module, configured to perform signal decomposition on the pre-acquired power generation data of the target distributed power source by using a variational mode decomposition algorithm to obtain a broadband signal component, an oscillating signal component, and a harmonic signal component; Performing signal decomposition on the pre-acquired power generation data of the target distributed power source by using a variational mode decomposition algorithm based on a first preset quadratic penalty parameter to obtain a narrowband signal component and a broadband signal component, where the narrowband signal component includes a fundamental frequency signal component, an initial harmonic signal component, and an oscillating signal component; Performing signal decomposition on the initial harmonic signal component by using the variational mode decomposition algorithm based on a second preset quadratic penalty parameter to obtain each harmonic signal component; A power quality evaluation module, configured to perform power quality evaluation based on the broadband signal component, the oscillating signal component, and the harmonic signal component to obtain a power quality evaluation result; A determination module, configured to determine the power generation output object of the distributed power source based on the power quality evaluation result; A control module, configured to control the distributed power source to deliver electric energy to the power generation output object.

8. A storage medium, characterized in that, The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the distributed power source power generation output control method according to any one of claims 1-6 above are implemented.

9. An electronic device, characterized in that, At least including a memory and a processor, the memory stores a computer program, and when the processor executes the computer program on the memory, the steps of the distributed power source power generation output control method according to any one of claims 1-6 above are implemented.

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