Distributed power generation output control method and device, medium and equipment

Abstract

The invention discloses a distributed power supply power generation output control method and device, a medium and equipment, and relates to the technical field of power generation data quality detection.The method comprises the steps that signal decomposition is conducted on power generation data, obtained in advance, of a target distributed power supply through a variational mode decomposition algorithm; obtaining a broadband signal component, an oscillation signal component and a harmonic signal component; performing electric energy quality evaluation based on the broadband signal component, the oscillation signal component and the harmonic signal component to obtain an electric energy quality evaluation result; determining a power generation output object of the distributed power supply based on the electric energy quality evaluation result; and controlling the distributed power supply to transmit electric energy to the power generation output object. According to the method, the distributed power generation can be efficiently evaluated, the two-stage electric energy evaluation method is established according to the two-stage electric energy signal decomposition model, the reliable consumption of the distributed power generation is promoted, and the operation reliability of a power grid is improved.

Description

Technical Field

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

[0002] New energy 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 generation forms have the advantages of being green and low-carbon, their large-scale grid connection will introduce their volatility and randomness into the power grid, which will lead to the continuous deterioration of the power quality of the power system and bring adverse effects to the distribution network system of the power grid. In the case of continuous deterioration of the power quality of the power system, it is necessary to conduct efficient power quality analysis on the distributed power generation data, analyze the components of its disturbance signal, and if the disturbance component exceeds the grid connection allowable value, disconnect the distributed power source from the power system to reduce its impact on the power quality of the power grid. The existing technology lacks a complete system architecture in the detection and analysis of the power quality of distributed power sources, and pays less attention to the whole process of data collection, storage and transmission. Most methods are only applicable to on-site monitoring and have low practicality. The existing technology often uses a one-time decomposition process when decomposing the disturbance signal, but this simple one-time decomposition method is difficult to fully separate the various disturbance components in the complex signal, and often leads to under-decomposition or over-decomposition of the power signal, which affects the subsequent power signal analysis and thus affects the output control of the distributed power supply. Summary of the invention

[0003] In view of this, the present invention provides a distributed power generation output control method, device, medium and equipment, the main purpose of which is to solve the current problem of inaccurate disturbance signal analysis for distributed power generation data.

[0004] In order to solve the above problems, the present application provides a distributed power generation output control method, comprising:

[0005] The variational mode decomposition algorithm is used to decompose the power generation data of the target distributed power source acquired in advance to obtain broadband signal components, oscillation signal components and harmonic signal components;

[0006] Performing power quality assessment based on the broadband signal component, the oscillation signal component, and the harmonic signal component to obtain a power quality assessment result;

[0007] Determining a power generation output object of the distributed power source based on the power quality assessment result;

[0008] The distributed power source is controlled to deliver electric energy to the power generation output object.

[0009] Optionally, before performing signal decomposition on the pre-acquired power generation data of the target distributed power source using the variational mode decomposition algorithm, the method further comprises: acquiring 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] Acquire the original power generation data of the target distributed power source in real time;

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

[0013] The first power generation data is normalized to obtain the power generation data.

[0014] Optionally, the variational mode decomposition algorithm is used to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a broadband signal component, an oscillation signal component and a harmonic signal component, specifically including:

[0015] Based on the first preset quadratic penalty parameter, a variational mode decomposition algorithm is used to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a narrowband signal component and a broadband signal component, wherein the narrowband signal component includes a fundamental frequency signal component, an initial harmonic signal component, and an oscillation signal component;

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

[0017] Optionally, based on the first preset quadratic penalty parameter, a variational mode decomposition algorithm is used to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a narrowband signal component and a broadband signal component, specifically including:

[0018] Using a variational mode decomposition algorithm to construct a first initial objective function for performing signal decomposition on the power generation data;

[0019] Based on the first preset quadratic penalty parameter, the initial objective function is constructed using an augmented Lagrangian algorithm to obtain a first objective function;

[0020] The power generation data is subjected to signal decomposition using an alternating direction multiplier algorithm and the first objective function to obtain a narrowband signal component and a broadband signal component.

[0021] Optionally, the performing signal decomposition on 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 specifically includes:

[0022] A second initial objective function for performing signal decomposition on the initial harmonic signal component is constructed by using a variational mode decomposition algorithm;

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

[0024] The initial harmonic signal components are decomposed by using an alternating direction multiplier algorithm and the second objective function to obtain the harmonic signal components.

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

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

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

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

[0029] When the first indicator value is greater than the first preset threshold, and / or the second indicator value is less than the second preset threshold, or the second indicator 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, determining the upper-level power grid 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, an energy storage unit is determined as a power generation output object of the distributed power source.

[0033] In order to solve the above problems, the present application provides a distributed power generation output control device, comprising:

[0034] A signal decomposition module is used 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 oscillation signal component and a harmonic signal component;

[0035] A power quality assessment module, configured to perform power quality assessment based on the broadband signal component, the oscillation signal component and the harmonic signal component to obtain a power quality assessment result;

[0036] A determination module, configured to determine a power generation output object of the distributed power source based on the power quality assessment result;

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

[0038] In order to solve the above problem, the present application provides a storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the above-mentioned distributed power generation output control method are implemented.

[0039] To solve the above problems, the present application provides an electronic device, which comprises at least a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of the above-mentioned distributed power generation output control method when executing the computer program in the memory.

[0040] Beneficial effects of the present application: The present application uses a variational mode decomposition algorithm to perform signal decomposition on the pre-acquired target distributed power generation data to obtain broadband signal components, oscillation signal components and harmonic signal components; a two-stage decomposition method is used to perform signal decomposition on the target distributed power generation data, which solves the problem that the prior art often uses a one-time decomposition process when decomposing disturbance signals, which makes it 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. 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; the power generation output object of the distributed power source is determined based on the power quality assessment result; and the distributed power source is controlled 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 based on a two-stage power signal decomposition model, which promotes the reliable absorption of distributed power generation and helps improve the operational reliability of the power grid.

[0041] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0043] Figure 1 A schematic diagram of a flow chart of a distributed power supply output control method provided in an embodiment of the present application is shown;

[0044] Figure 2 A schematic diagram of a flow chart of a distributed power generation output control method provided by another embodiment of the present application is shown;

[0045] Figure 3 A structural block diagram of a distributed power generation output control device provided in another embodiment of the present application is shown. DETAILED DESCRIPTION

[0046] Various aspects and features of the present application are described herein with reference to the accompanying drawings.

[0047] It should be understood that various modifications may be made to the embodiments of the present application. Therefore, the above description should not be considered as limiting, but only as an example of an embodiment. Other modifications within the scope and spirit of the present application will occur to those skilled in the art.

[0048] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate 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, serve to explain the principles of the present application.

[0049] These and other characteristics of the present application will become apparent from the following description of a preferred form of embodiment given as a non-limiting example with reference to the accompanying 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 will be able to readily implement many other equivalent forms of the present application.

[0051] The above and other aspects, features and advantages of the present application will become more apparent in view of the following detailed description when taken in conjunction with the accompanying drawings.

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

[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] The present application provides a method for controlling the output of a distributed power supply. Figure 1 As shown, including:

[0055] Step S101: using a variational mode decomposition algorithm to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a broadband signal component, an oscillation 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 a first-stage signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a narrowband signal component and a broadband signal component; then uses a variational mode decomposition algorithm to perform a 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: performing power quality assessment based on the broadband signal component, the oscillation signal component and the harmonic signal component to obtain a power quality assessment result;

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

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

[0060] In the specific implementation of this step, when both the first index value and the second index value meet the preset conditions, the upper-level 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 power signal decomposition, a two-stage power evaluation method is established to promote the reliable consumption of distributed power generation, which is conducive to improving the operational reliability of the power grid.

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

[0062] During the specific implementation of this step, when both the first indicator value and the second indicator value meet the preset conditions, the distributed power source is controlled to deliver electric energy to the upper-level power grid to supply power to the user side; when any one of the first indicator value and the second indicator value does not meet the preset conditions, the distributed power source is controlled to deliver electric energy to the energy storage unit to store electric energy.

[0063] The present application uses a variational mode decomposition algorithm to perform signal decomposition on the pre-acquired target distributed power generation data to obtain broadband signal components, oscillation signal components and harmonic signal components; a two-stage decomposition method is used to perform signal decomposition on the target distributed power generation data, which solves the problem that the prior art often uses a one-time decomposition process when decomposing disturbance signals, which makes it difficult to fully separate various disturbance components in complex signals, often resulting in under-decomposition or over-decomposition of electric energy signals, affecting subsequent electric energy signal analysis. Based on the broadband signal component, the oscillation signal component and the harmonic signal component, an electric energy quality assessment is performed to obtain an electric energy quality assessment result; based on the electric energy 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. The present application can efficiently evaluate the power generation of distributed power sources, and establish a two-stage electric energy assessment method based on a two-stage electric energy signal decomposition model, so as to promote the reliable consumption of distributed power generation and improve the operational reliability of the power grid.

[0064] Another embodiment of the present application provides another distributed power generation output control method, such as Figure 2 As shown:

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

[0066] During the specific implementation of this step, the original power generation data of the target distributed power source is collected in real time; in order to obtain the power generation data of the distributed power source more efficiently 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 a variety of power data measurement devices such as synchronized phasor measurement units (PMUs), voltage 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, providing an original and real data basis for analysis and research. In order to realize the remote transmission and intelligent analysis of distributed power 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 be accessed through the intranet to ensure the security of the data and effectively protect the privacy of users. The intelligent gateway used in the present invention supports multiple network formats, including GPRS, 4G, 5G, 1.8GHz power line wireless private network, 230MHz power wireless private network and optical fiber private network, etc., to adapt to different communication needs. 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. The original power generation data is cleaned to obtain the first power generation data; specifically, the original power generation data is identified to obtain each abnormal data; the abnormal data may be generated due to equipment failure, transmission error or other reasons. Based on each of the abnormal data, the original power generation data is screened to obtain the neighborhood power generation data corresponding to each of the abnormal data, and the neighborhood power generation data includes information such as 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 a standard electric energy 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 electric energy signal waveform corresponding to each abnormal data; based on the extracted normal data features, a standard electric energy 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 electric energy 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. The first power generation data is normalized to obtain the power generation data. Specifically, since different distributed power supply devices have differences in models and specifications (such as voltage and current ratings), this application is based on the voltage and current ratings of each distributed power supply, and is normalized separately to ensure the comparability of data between different devices.The mathematical formula for normalizing the voltage value can be expressed as follows:

[0067]

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

[0069] Step S202: Based on the first preset quadratic penalty parameter, a variational mode decomposition algorithm is used to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a narrowband signal component and a broadband signal component, wherein the narrowband signal component includes a fundamental frequency signal component, an initial harmonic signal component, and an oscillation signal component;

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

[0071]

[0072] in, To find the derivative with respect to time t, we can use it to represent the modal component u k (t) Changes in signal frequency; is the Hilbert transform kernel, which is used to transform u k (t) is converted into analytical signal; * is the convolution operator; is the frequency offset, ensuring that the modal component u k (t) is centered at its center frequency ω k Nearby; where the power generation data is the mathematical expression of the original signal f can be expressed as follows:

[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, the initial objective function is constructed using an augmented Lagrangian algorithm to obtain a first objective function; the mathematical expression of the first objective function can be shown in the following formula (4):

[0075]

[0076] Among them, α1 is the first preset quadratic penalty parameter, is the original signal f(t) and all components u k (t) The difference of the sum; is a Lagrange multiplier term, which is included in the first objective function as a constraint. The value of the first preset quadratic penalty parameter can be 300. When α=300, since the quadratic penalty term parameter is small, the restriction on the bandwidth of the modal component is small, so the first stage of electric energy signal decomposition can separate the broadband signal and the narrowband signal in the electric energy signal, and also can separate the oscillation component 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 perform signal decomposition on the power generation data to obtain narrowband signal components and broadband signal components. Specifically, it includes the following steps:

[0077] Step 1: Initialization λ 1 , n, and assign an initial value of zero;

[0078] Step 2: Iterate and 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) ;

[0079]

[0080] Step 3: Iteratively update ω according to the following formula (6) k (n+1) ;

[0081]

[0082] Step 4: Iteratively update λ according to the following formula (7) (n+1) ;

[0083]

[0084] Step 5: Determine whether the iteration termination condition is reached; the termination condition can be expressed as follows:

[0085]

[0086] When the difference of the modal components separated by two adjacent iteration rounds meets the preset accuracy condition, the iteration ends, and the narrowband signal component and the broadband signal component are obtained. The method for judging whether the iteration termination condition is met can also be that when the iteration round reaches a preset iteration round threshold, the iteration ends, and the narrowband signal component and the broadband signal component are obtained.

[0087] Step S203: performing signal decomposition on the initial harmonic signal components using the variational mode decomposition algorithm based on a second preset quadratic penalty parameter to obtain each of the harmonic signal components;

[0088] In the specific implementation process of this step, a variational mode decomposition algorithm is used to construct a second initial objective function for signal decomposition of the initial harmonic signal component; based on the second preset quadratic penalty parameter, the second initial objective function is constructed using an augmented Lagrangian algorithm to obtain a second objective function; the mathematical expression of the second objective function can be shown as follows:

[0089]

[0090] Among them, 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 subjected to the second stage of electric energy signal decomposition. α2=2000 is set to obtain the main harmonic components of each part of the electric energy data. The initial harmonic signal components are decomposed by using the alternating direction multiplier algorithm and the second objective function to obtain each of the harmonic signal components.

[0091] Step S204: performing calculation based on the broadband signal component, the oscillation signal component and the power generation of the distributed power source to obtain a first index value;

[0092] In the specific implementation process of this step, the mathematical expression for calculating the first index value can be expressed as the following formula (10):

[0093]

[0094] Among them, ∑P wide is the sum of broadband signal components; ΣP osci is the sum of the oscillation signal components; ΣP G is the total power generation of distributed generation; is the first preset threshold, which is the tolerance of the upper power grid to unstable signals, namely broadband signals and oscillation signals. This parameter is sent from the upper power grid dispatching center to the centralized monitoring master station.

[0095] λ1 is the first indicator value. When the first indicator value does not meet the grid stability requirement, the distributed power station controls the power generation output to the energy storage unit.

[0096] Step S205: performing calculation processing based on the harmonic signal component and the distributed power generation capacity to obtain a second index value;

[0097] In the specific implementation process of this step, the calculation formula of the second index value is as shown in the following formula (11):

[0098]

[0099] Among them, ∑P i ' is the sum of the i-th harmonic signal components; λ i ' is the proportional parameter of the i-th harmonic signal component; is the second preset threshold, which is the real-time minimum allowable value of the proportion parameter of the i-th harmonic signal component of the power grid; is the third preset threshold, which is the real-time maximum allowable value of the harmonic signal component ratio parameter of the power grid; and It is obtained by real-time evaluation by the centralized monitoring master station based on the real-time operating status of the power grid; when any harmonic signal component ratio parameter does not meet the real-time stability requirements of the power grid, the centralized monitoring master station controls the distributed power generation to output to the energy storage unit.

[0100] Step S206: when the first indicator value is less than or equal to a first preset threshold value, and the second indicator value is greater than or equal to a second preset threshold value and less than or equal to a third preset threshold value, obtaining a first power quality assessment result;

[0101] During the specific implementation of this step, when the first indicator value is less than or equal to the first preset threshold, the second indicator value is greater than or equal to the second preset threshold and less than or equal to the third preset threshold, when the first indicator value and the second indicator value are respectively within the predetermined indicator range, the first indicator value and the second indicator value both meet the requirements of grid stability, and the power generation data of the target distributed power source can be transmitted to the upper-level power grid to supply power to the user side.

[0102] Step S207: when the first indicator value is greater than the first preset threshold, and / or the second indicator value is less than the second preset threshold, or the second indicator value is greater than the third preset threshold, a second power quality assessment result is obtained;

[0103] During the specific implementation of this step, when the first indicator value is greater than the first preset threshold, and / or the second indicator value is less than the second preset threshold or the second indicator value is greater than the third preset threshold, a second power quality assessment result is obtained; when any one of the first indicator value and the second indicator value does not meet the requirements of grid stability, in order to maintain the stability of the grid, the power generation data of the target distributed power source can be transmitted to the energy storage unit for storing electric energy.

[0104] Step S208: when the power quality assessment result is the first power quality assessment result, determining the upper-level power grid as the power generation output object of the distributed power source;

[0105] During the specific implementation of this step, when both the first indicator value and the second indicator value meet the preset conditions, the upper-level power grid is determined as the power generation output object of the distributed power source to control the distributed power source to transmit electric energy to the upper-level power grid to supply power to the user side.

[0106] Step S209: when the power quality assessment result is the second power quality assessment result, determining the energy storage unit as the power generation output object of the distributed power source;

[0107] During the specific implementation of this step, when any one of the first indicator value and the second indicator value does not meet the preset conditions, the energy storage unit is determined as the power generation output object of the distributed power source to control the distributed power source to transmit electrical energy to the energy storage unit for electrical energy storage.

[0108] Step S210: controlling the distributed power source to deliver electric energy to the power generation output object.

[0109] During the specific implementation of this step, when both the first indicator value and the second indicator value meet the preset conditions, the distributed power source is controlled to deliver electric energy to the upper-level power grid to supply power to the user side; when any one of the first indicator value and the second indicator value does not meet the preset conditions, the distributed power source is controlled to deliver electric energy to the energy storage unit to store electric energy.

[0110] The present application obtains the power generation data of the target distributed power source; based on the first preset quadratic penalty parameter, a variational mode decomposition algorithm is used to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain narrowband signal components and broadband signal components, wherein the narrowband signal components include fundamental frequency signal components, initial harmonic signal components, and oscillation signal components; based on the second preset quadratic penalty parameter, the variational mode decomposition algorithm is used to perform signal decomposition on the initial harmonic signal components to obtain each of the harmonic signal components; the present 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. This method can effectively decompose complex power disturbance signals into narrowband and broadband disturbance signals, simplifying the complexity of the power disturbance signal and facilitating further analysis and processing. The two-stage signal decomposition method can accurately identify and decompose complex signals, thereby improving the accuracy of subsequent evaluation of signal quality. A first index value is obtained by performing calculation processing based on the broadband signal component, the oscillation signal component and the power generation of the distributed power source; a second index value is obtained by performing calculation processing based on the harmonic signal component and the power generation of the distributed power source; when the first index value is greater than or equal to the first preset threshold value and less than or equal to the second preset threshold value, and the second index value is greater than or equal to the third preset threshold value and less than or equal to the fourth preset threshold value, a first power quality assessment result is obtained; when the first index value is less than the first preset threshold value or the first index value is greater than the second preset threshold value, and / or the second index value is less than the third preset threshold value or the second index value is greater than the fourth preset threshold value, a second power quality assessment result is obtained; when the power quality assessment result is the first power quality assessment result, the upper-level power grid is determined as the power generation output object of the distributed power source; the present application establishes a distributed power generation assessment model, which can efficiently evaluate the power generation of distributed power sources, and establishes a two-stage power assessment method based on a two-stage power signal decomposition model to promote the reliable consumption of distributed power generation and help improve the operational reliability of the power grid. 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; and the distributed power source is controlled to deliver electric energy to the power generation output object. The method of the present application can improve the safety and stability of power system operation.

[0111] Another embodiment of the present application provides a distributed power generation output control device, such as Figure 3 As shown, including:

[0112] The signal decomposition module 1 is used 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 to obtain a broadband signal component, an oscillation signal component and a harmonic signal component;

[0113] A power quality assessment module 2, configured to perform power quality assessment based on the broadband signal component, the oscillation signal component and the harmonic signal component to obtain a power quality assessment result;

[0114] A determination module 3, configured to determine a power generation output object of the distributed power source based on the power quality assessment result;

[0115] The control module 4 is used to control the distributed power source to deliver electric energy to the power generation output object.

[0116] In the specific implementation process, the distributed power generation output control device also includes: a power generation data acquisition module, which is specifically used to: collect and obtain 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; and perform standardization processing on the first power generation data to obtain the power generation data.

[0117] In the specific implementation process, the signal decomposition module 1 is specifically used to: based on the first preset secondary penalty parameter, use the variational mode decomposition algorithm to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a narrowband signal component and a broadband signal component, and the narrowband signal component includes a fundamental frequency signal component, an initial harmonic signal component and an oscillation signal component; based on the second preset secondary penalty parameter, use the variational mode decomposition algorithm to perform signal decomposition on the initial harmonic signal component to obtain each of the harmonic signal components.

[0118] In the specific implementation process, the signal decomposition module 1 is also used to: use a variational mode decomposition algorithm to construct a first initial objective function for signal decomposition of the power generation data; based on a first preset quadratic penalty parameter, the initial objective function uses an augmented Lagrangian algorithm to construct a function to obtain a first objective function; use an alternating direction multiplier algorithm and the first objective function to perform signal decomposition on the power generation data to obtain a narrowband signal component and a broadband signal component.

[0119] During the specific implementation process, the signal decomposition module 1 is also used to: use a variational mode decomposition algorithm to construct a second initial objective function for decomposing the initial harmonic signal components; based on a second preset quadratic penalty parameter, the second initial objective function uses an augmented Lagrangian algorithm to construct a function to obtain a second objective function; use an alternating direction multiplier algorithm and the second objective function to decompose the initial harmonic signal components to obtain each of the harmonic signal components.

[0120] In the specific implementation process, the power quality assessment module 2 is specifically used to: perform calculations based on the broadband signal component, the oscillation signal component and the distributed power generation to obtain a first index value; perform calculations based on the harmonic signal component and the distributed power generation 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 the second preset threshold and is less than or equal to a third preset threshold, obtain a first power quality assessment 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 assessment result.

[0121] During the specific implementation process, the determination module 3 is specifically used to: when the power quality assessment result is the first power quality assessment result, determine the upper-level power grid as the power generation output object of the distributed power source; 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.

[0122] The present application uses a variational mode decomposition algorithm to perform signal decomposition on the power generation data of the target distributed power source acquired in advance, and obtains a broadband signal component, an oscillation signal component, and a harmonic signal component; a two-stage decomposition method is used to perform signal decomposition on the power generation data of the target distributed power source, which solves the problem that the prior art often uses a one-time decomposition process when decomposing the disturbance signal, which makes it difficult to fully separate various disturbance components in the complex signal, often resulting in under-decomposition or over-decomposition of the electric energy signal, affecting the subsequent analysis of the electric energy signal. Based on the broadband signal component, the oscillation signal component, and the harmonic signal component, the 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. The present application can efficiently evaluate the power generation of distributed power sources, and establish a two-stage power evaluation method based on the two-stage power signal decomposition model, so as to promote the reliable consumption of distributed power generation and improve the operational reliability of the power grid.

[0123] Another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the following method steps are implemented:

[0124] Step 1: Using a variational mode decomposition algorithm to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a broadband signal component, an oscillation signal component, and a harmonic signal component;

[0125] Step 2: Perform power quality assessment based on the broadband signal component, the oscillation signal component and the harmonic signal component to obtain a power quality assessment result;

[0126] Step 3: determining the power generation output object of the distributed power source based on the power quality assessment result;

[0127] Step 4: Control the distributed power source to deliver electric energy to the power generation output object.

[0128] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), 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).

[0129] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0130] The specific implementation process of the above method steps can refer to the embodiments of any of the above distributed power generation output control methods, and this embodiment will not be repeated here.

[0131] The present application uses a variational mode decomposition algorithm to perform signal decomposition on the pre-acquired target distributed power generation data to obtain broadband signal components, oscillation signal components and harmonic signal components; a two-stage decomposition method is used to perform signal decomposition on the target distributed power generation data, which solves the problem that the prior art often uses a one-time decomposition process when decomposing disturbance signals, which makes it difficult to fully separate various disturbance components in complex signals, often resulting in under-decomposition or over-decomposition of electric energy signals, affecting subsequent electric energy signal analysis. Based on the broadband signal component, the oscillation signal component and the harmonic signal component, an electric energy quality assessment is performed to obtain an electric energy quality assessment result; based on the electric energy 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. The present application can efficiently evaluate the power generation of distributed power sources, and establish a two-stage electric energy assessment method based on a two-stage electric energy signal decomposition model, so as to promote the reliable consumption of distributed power generation and improve the operational reliability of the power grid.

[0132] Another embodiment of the present application provides an electronic device, which may be a server, and the electronic device includes a processor, a memory, a network interface, and a database connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile and / or volatile storage medium 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 via a network connection. When the electronic device program is executed by the processor, it implements the functions or steps of a distributed power generation output control method on the server side.

[0133] In one embodiment, an electronic device is provided, which may be a client. The electronic device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. 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 via a network connection. When the electronic device program is executed by the processor, the functions or steps on the client side of a distributed power generation output control method are implemented.

[0134] Another embodiment of the present application provides an electronic device, comprising at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the following method steps when executing the computer program in the memory:

[0135] Step 1: Using a variational mode decomposition algorithm to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a broadband signal component, an oscillation signal component, and a harmonic signal component;

[0136] Step 2: Perform power quality assessment based on the broadband signal component, the oscillation signal component and the harmonic signal component to obtain a power quality assessment result;

[0137] Step 3: determining the power generation output object of the distributed power source based on the power quality assessment result;

[0138] Step 4: Control the distributed power source to deliver electric energy to the power generation output object.

[0139] The specific implementation process of the above method steps can refer to the embodiments of any of the above distributed power generation output control methods, and this embodiment will not be repeated here.

[0140] The present application uses a variational mode decomposition algorithm to perform signal decomposition on the pre-acquired target distributed power generation data to obtain broadband signal components, oscillation signal components and harmonic signal components; a two-stage decomposition method is used to perform signal decomposition on the target distributed power generation data, which solves the problem that the prior art often uses a one-time decomposition process when decomposing disturbance signals, which makes it difficult to fully separate various disturbance components in complex signals, often resulting in under-decomposition or over-decomposition of electric energy signals, affecting subsequent electric energy signal analysis. Based on the broadband signal component, the oscillation signal component and the harmonic signal component, an electric energy quality assessment is performed to obtain an electric energy quality assessment result; based on the electric energy 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. The present application can efficiently evaluate the power generation of distributed power sources, and establish a two-stage electric energy assessment method based on a two-stage electric energy signal decomposition model, so as to promote the reliable consumption of distributed power generation and improve the operational reliability of the power grid.

[0141] The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present application within the essence and protection scope of the present application, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present application.

Claims

1. A distributed power generation output control method, characterized in that: include: The variational mode decomposition algorithm is used to decompose the power generation data of the target distributed power source acquired in advance to obtain broadband signal components, oscillation signal components and harmonic signal components; Performing power quality assessment based on the broadband signal component, the oscillation signal component, and the harmonic signal component to obtain a power quality assessment result; Determining a power generation output object of the distributed power source based on the power quality assessment result; The distributed power source is controlled to deliver electric energy to the power generation output object.

2. The method according to claim 1, characterized in that Before using the variational mode decomposition algorithm to perform signal decomposition on the pre-acquired power generation data of the target distributed power source, the method further includes: acquiring the power generation data of the target distributed power source; The obtaining of the power generation data of the target distributed power source specifically includes: Acquire the original power generation data of the target distributed power source in real time; Performing data cleaning on the original power generation data to obtain first power generation data; The first power generation data is normalized to obtain the power generation data.

3. The method according to claim 1, characterized in that The variational mode decomposition algorithm is used to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain broadband signal components, oscillation signal components and harmonic signal components, specifically including: Based on the first preset quadratic penalty parameter, a variational mode decomposition algorithm is used to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a narrowband signal component and a broadband signal component, wherein the narrowband signal component includes a fundamental frequency signal component, an initial harmonic signal component, and an oscillation signal component; Based on the second preset quadratic penalty parameter, the variational mode decomposition algorithm is used to perform signal decomposition on the initial harmonic signal components to obtain each of the harmonic signal components.

4. The method according to claim 3, characterized in that Based on the first preset quadratic penalty parameter, a variational mode decomposition algorithm is used to perform signal decomposition on the pre-acquired power generation data of the target distributed power source to obtain a narrowband signal component and a broadband signal component, specifically including: Using a variational mode decomposition algorithm to construct a first initial objective function for performing signal decomposition on the power generation data; Based on the first preset quadratic penalty parameter, the initial objective function is constructed using an augmented Lagrangian algorithm to obtain a first objective function; The power generation data is subjected to signal decomposition using an alternating direction multiplier algorithm and the first objective function to obtain a narrowband signal component and a broadband signal component.

5. The method according to claim 4, characterized in that The step of performing signal decomposition on the initial harmonic signal components by using the variational mode decomposition algorithm based on the second preset quadratic penalty parameter to obtain each harmonic signal component specifically includes: A second initial objective function for performing signal decomposition on the initial harmonic signal component is constructed by using a variational mode decomposition algorithm; Based on the second preset quadratic penalty parameter and the second initial objective function, an augmented Lagrangian algorithm is used to construct a function to obtain a second objective function; The initial harmonic signal components are decomposed by using an alternating direction multiplier algorithm and the second objective function to obtain the harmonic signal components.

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

7. The method according to claim 6, characterized in that The step of determining the power generation output object of the distributed power source based on the power quality assessment result specifically includes: When the power quality assessment result is the first power quality assessment result, determining the upper-level power grid as the power generation output object of the distributed power source; When the power quality assessment result is the second power quality assessment result, an energy storage unit is determined as a power generation output object of the distributed power source.

8. A distributed power generation output control device, characterized in that: include: A signal decomposition module is used 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 oscillation signal component and a harmonic signal component; A power quality assessment module, configured to perform power quality assessment based on the broadband signal component, the oscillation signal component and the harmonic signal component to obtain a power quality assessment result; A determination module, configured to determine a power generation output object of the distributed power source based on the power quality assessment result; A control module is used to control the distributed power source to deliver electric energy to the power generation output object.

9. 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 generation output control method according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The method comprises at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the distributed power generation output control method as described in any one of claims 1 to 7 when executing the computer program on the memory.

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