A method and system for assessing the carbon emissions of electrical equipment

Abstract

This invention discloses a method and system for assessing the carbon emissions of electrical equipment, comprising: acquiring voltage and current signals output by the electrical equipment, and acquiring output power signals based on the voltage and current signals; performing signal analysis on the output power signals to obtain decomposed signals; calculating the electrocarbon conversion coefficient to determine the electrocarbon conversion coefficient; and determining the electrocarbon information entropy based on the decomposed signals and the electrocarbon conversion coefficient, so as to assess the carbon emissions of the electrical equipment based on the electrocarbon information entropy. This invention can be applied to the carbon emission quantification of power conversion equipment such as inverters, rectifiers, solid-state transformers, and energy routers. It uses electrocarbon information entropy as a quantitative indicator to measure the carbon emissions of electrical equipment, reflecting power quality and carbon emission status. The lower the electrocarbon information entropy, the higher the power quality, and the lower the losses and carbon emissions of the electrical equipment. This invention can be used to achieve the scientific measurement and evaluation of carbon emissions from electrical equipment and power systems.

Description

Technical Field

[0001] This invention relates to the field of carbon measurement technology, and more specifically, to a method and system for assessing the carbon emissions of electrical equipment. Background Technology

[0002] Actual carbon emissions from the power grid originate from fossil fuel combustion at power plants. However, from the perspective of carbon emission flows, carbon emissions can be viewed as flowing through the nodes of the power system along with the electricity flow for easier research and management. In recent years, with the rapid development of distributed resources such as distributed photovoltaics and electric vehicle charging stations in the distribution system, and the widespread use of new electrical equipment, the power grid has been injected with a large amount of harmonic and DC energy, most of which is converted into heat loss. These new characteristics bring about energy consumption, entropy increase, and carbon emissions. However, current research on the energy efficiency of electrical equipment is not yet complete, making it difficult to quantitatively evaluate the carbon emissions of new electrical equipment, and there is a lack of devices for measuring the carbon emissions of electrical equipment. Summary of the Invention

[0003] This invention proposes a method and system for assessing the carbon emissions of electrical equipment, in order to solve the problem of how to assess the carbon emissions of electrical equipment.

[0004] To address the above problems, according to one aspect of the present invention, a method for assessing the carbon emissions of electrical equipment is provided, the method comprising:

[0005] Acquire the voltage and current signals output by the electrical equipment, and based on the voltage and current signals, acquire the output power signal of the electrical equipment;

[0006] The output power signal is analyzed to obtain the decomposed signal;

[0007] Calculate and determine the electro-carbon conversion coefficient;

[0008] Based on the decomposition signal and the electrocarbon conversion coefficient, the electrocarbon information entropy is determined to assess the carbon emissions of the electrical equipment based on the electrocarbon information entropy.

[0009] Preferably, before obtaining the output power signal of the electrical device based on the voltage signal and the current signal, the method further includes:

[0010] The acquired voltage and current signals are phase-adjusted to make their phases consistent.

[0011] The phase-adjusted voltage and current signals are converted from analog to digital to obtain digital voltage and current signals.

[0012] Preferably, the step of performing signal analysis on the output power signal to obtain the decomposed signal includes:

[0013] The output power signal is decomposed into fundamental frequency components, harmonic components, and DC components using a spectrum analysis method based on Fast Fourier Transform (FFT). The DC component is denoted as the 0th harmonic, and the fundamental frequency component as the 1st harmonic. Thus, the output power signal P is decomposed into harmonic components (p0, p1, ..., p...). n The superposition of harmonics, where the subscript indicates the harmonic order and n is the maximum harmonic order.

[0014] Preferably, the calculation of the electro-carbon conversion coefficient, and the determination of the electro-carbon conversion coefficient, includes:

[0015] Obtain emission factors from the power generation side for different power generation methods;

[0016] Based on the generation-side emission factors of different power generation methods and the power system flow calculation model, the nodal carbon potential of node k where the electrical equipment is located is calculated according to the carbon emission flow calculation method, including:

[0017]

[0018] Among them, e k Let be the node carbon potential; i is the branch number; N is the set of all branches connected to this node that have a current flowing into this node; R i P represents the carbon emission flow rate per unit time for branch i. i The active power flow for branch i;

[0019] With the fundamental frequency component as positive and other frequency components as negative, the electro-carbon conversion coefficient C of the electrical equipment is determined as follows:

[0020] C=(c(0),c(1),…,c(n))=(-e k 3 k ,…,-e k ).

[0021] Preferably, determining the electrocarbon information entropy based on the decomposition signal and the electrocarbon conversion coefficient includes:

[0022] E(P)=-∑ x∈n c(x)p(x)log b p(x),

[0023] Where E(P) is the entropy of the electrical carbon information of the output power signal P; c(x) is the electrical carbon conversion coefficient corresponding to the harmonic component p(x) with harmonic order x after signal decomposition, n is the maximum harmonic order; b is the preset base; the smaller the electrical carbon information entropy, the higher the power quality and the smaller the loss and carbon emissions of electrical equipment.

[0024] According to another aspect of the present invention, a carbon emission assessment system for electrical equipment is provided, the system comprising:

[0025] A power signal acquisition module is used to acquire the voltage signal and current signal output by the electrical equipment, and to acquire the output power signal of the electrical equipment based on the voltage signal and current signal;

[0026] The signal decomposition module is used to perform signal analysis on the output power signal and obtain the decomposed signal;

[0027] The electro-carbon conversion coefficient calculation module is used to calculate and determine the electro-carbon conversion coefficient.

[0028] An electrocarbon information entropy calculation module is used to determine the electrocarbon information entropy based on the decomposition signal and the electrocarbon conversion coefficient, so as to assess the carbon emissions of the electrical equipment based on the electrocarbon information entropy.

[0029] Preferably, the system further includes:

[0030] A phase adjustment module is used to adjust the phase of the acquired voltage and current signals so that the phases of the current and voltage signals are consistent.

[0031] The analog-to-digital converter module is used to perform analog-to-digital conversion on phase-adjusted voltage and current signals to obtain digital voltage and current signals.

[0032] Preferably, the signal decomposition module performs signal analysis on the output power signal to obtain the decomposed signal, including: decomposing the output power signal into a fundamental frequency component, harmonic components, and DC components using a spectrum analysis method based on Fast Fourier Transform (FFT), denoting the DC component as the 0th harmonic and the fundamental frequency component as the 1st harmonic, thus decomposing the output power signal P into harmonic components (p0, p1, ..., p...). n The superposition of harmonics, where the subscript indicates the harmonic order and n is the maximum harmonic order.

[0033] Preferably, the electro-carbon conversion coefficient calculation module calculates and determines the electro-carbon conversion coefficient, including:

[0034] Obtain emission factors from the power generation side for different power generation methods;

[0035] Based on the generation-side emission factors of different power generation methods and the power system flow calculation model, the nodal carbon potential of node k where the electrical equipment is located is calculated according to the carbon emission flow calculation method, including:

[0036]

[0037] Among them, ek Let be the node carbon potential; i is the branch number; N is the set of all branches connected to this node that have a current flowing into this node; R i P represents the carbon emission flow rate per unit time for branch i. i The active power flow for branch i;

[0038] With the fundamental frequency component as positive and other frequency components as negative, the electro-carbon conversion coefficient C of the electrical equipment is determined as follows:

[0039] C=(c(0),c(1),…,c(n))=(-e k e k ,…,-e k ).

[0040] Preferably, the electrocarbon information entropy calculation module determines the electrocarbon information entropy based on the decomposition signal and the electrocarbon conversion coefficient, including:

[0041] E(P)=-∑ x∈n c(x)p(x)log b p(x),

[0042] Where E(P) is the entropy of the electrical carbon information of the output power signal P; c(x) is the electrical carbon conversion coefficient corresponding to the harmonic component p(x) with harmonic order x after signal decomposition, n is the maximum harmonic order; b is the preset base; the smaller the electrical carbon information entropy, the higher the power quality and the smaller the loss and carbon emissions of electrical equipment.

[0043] This invention provides a method and system for assessing the carbon emissions of electrical equipment, comprising: acquiring voltage and current signals output by the electrical equipment, and acquiring an output power signal based on the voltage and current signals; performing signal analysis on the output power signal to obtain a decomposed signal; calculating the electrocarbon conversion coefficient to determine the electrocarbon conversion coefficient; and determining the electrocarbon information entropy based on the decomposed signal and the electrocarbon conversion coefficient, so as to assess the carbon emissions of the electrical equipment based on the electrocarbon information entropy. This invention can be applied to the carbon emission quantification of power conversion equipment such as inverters, rectifiers, solid-state transformers, and energy routers. It uses electrocarbon information entropy as a quantitative indicator to measure the carbon emissions of electrical equipment, reflecting power quality and carbon emission status. The lower the electrocarbon information entropy, the higher the power quality, and the lower the losses and carbon emissions of the electrical equipment. This invention can be used to achieve the scientific measurement and evaluation of carbon emissions from electrical equipment and power systems. Attached Figure Description

[0044] Exemplary embodiments of the present invention can be more fully understood by referring to the following figures:

[0045] Figure 1A flowchart of a method for assessing the carbon emissions of electrical equipment according to an embodiment of the present invention;

[0046] Figure 2 A flowchart for determining the entropy of electrocarbon information in an electrical device according to an embodiment of the present invention;

[0047] Figure 3 This is a schematic diagram of the structure of an electrical equipment carbon emission assessment system 300 according to an embodiment of the present invention. Detailed Implementation

[0048] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0049] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0050] Figure 1 This is a flowchart of a method 100 for assessing the carbon emissions of electrical equipment according to an embodiment of the present invention. Figure 1 As shown, the carbon emission assessment method for electrical equipment provided by this invention can be applied to the carbon emission quantification of power conversion equipment such as inverters, rectifiers, solid-state transformers, and energy routers. It uses electrical carbon information entropy as a quantitative indicator to measure the carbon emissions of electrical equipment, reflecting power quality and carbon emission status. The lower the electrical carbon information entropy, the higher the power quality, and the lower the losses and carbon emissions of the electrical equipment. This method can be used to achieve scientific measurement and evaluation of carbon emissions from electrical equipment and power systems. The carbon emission assessment method 100 for electrical equipment provided by this invention begins at step 101. In step 101, the voltage and current signals output by the electrical equipment are acquired, and based on the voltage and current signals, the output power signal of the electrical equipment is acquired.

[0051] Preferably, before obtaining the output power signal of the electrical device based on the voltage signal and the current signal, the method further includes:

[0052] The acquired voltage and current signals are phase-adjusted to make their phases consistent.

[0053] The phase-adjusted voltage and current signals are converted from analog to digital to obtain digital voltage and current signals.

[0054] Combination Figure 2 As shown, in an embodiment of the present invention, a power signal is obtained sequentially through voltage detection, current detection, analog-to-digital conversion, and signal measurement.

[0055] Specifically, firstly, the voltage signal output by the electrical equipment is detected and its potential is adjusted to acquire the output voltage and adjust its phase to match the current, followed by analog-to-digital conversion. Similarly, for the current signal output by the electrical equipment, current is detected and its potential is adjusted to acquire the output current and adjust its phase to match the voltage, followed by analog-to-digital conversion.

[0056] Secondly, analog-to-digital conversion (ADC) modules can be used for ADC conversion. ADC modules are at least 12-bit ADCs that convert phase-adjusted voltage and current signals into digital signals for output by high-speed sampling.

[0057] Finally, the power is calculated based on the voltage and current signals converted into digital signals, and the digital signals are processed according to the power to obtain the entropy of the carbon information.

[0058] In step 102, the output power signal is analyzed to obtain the decomposed signal.

[0059] Preferably, the signal analysis of the output power signal to obtain the decomposed signal includes: decomposing the output power signal into a fundamental frequency component, harmonic components, and a DC component using a spectrum analysis method based on Fast Fourier Transform (FFT), where the DC component is denoted as the 0th harmonic and the fundamental frequency component as the 1st harmonic. Thus, the output power signal P is decomposed into harmonic components (p0, p1, ..., p...). n The superposition of harmonics, where the subscript indicates the harmonic order and n is the maximum harmonic order.

[0060] In step 103, the electro-carbon conversion coefficient is calculated and determined.

[0061] Preferably, the calculation of the electro-carbon conversion coefficient, and the determination of the electro-carbon conversion coefficient, includes:

[0062] Obtain emission factors from the power generation side for different power generation methods;

[0063] Based on the generation-side emission factors of different power generation methods and the power system flow calculation model, the nodal carbon potential of node k where the electrical equipment is located is calculated according to the carbon emission flow calculation method, including:

[0064]

[0065] Among them, e k Let be the node carbon potential; i is the branch number; N is the set of all branches connected to this node that have a current flowing into this node; R i P represents the carbon emission flow rate per unit time for branch i. i The active power flow for branch i;

[0066] With the fundamental frequency component as positive and other frequency components as negative, the electro-carbon conversion coefficient C of the electrical equipment is determined as follows:

[0067] C=(c(0),c(1),…,c(n))=(-e k e k ,…,-e k ).

[0068] In step 104, the electrical carbon information entropy is determined based on the decomposition signal and the electrical carbon conversion coefficient, so as to assess the carbon emissions of the electrical equipment based on the electrical carbon information entropy.

[0069] Preferably, determining the electrocarbon information entropy based on the decomposition signal and the electrocarbon conversion coefficient includes:

[0070] E(P)=-∑ x∈n c(x)p(x)log b p(x),

[0071] Where E(P) is the entropy of the electrical carbon information of the output power signal P; c(x) is the electrical carbon conversion coefficient corresponding to the harmonic component p(x) with harmonic order x after signal decomposition, n is the maximum harmonic order; b is the preset base; the smaller the electrical carbon information entropy, the higher the power quality and the smaller the loss and carbon emissions of electrical equipment.

[0072] Combination Figure 2As shown, in an embodiment of the present invention, digital signal processing is performed through a digital signal processing module. This module includes a digital signal processing chip and a storage module. The digital signal processing module performs the following functions: First, it decomposes the power signal into fundamental frequency components, harmonic components, and DC components using a power signal decomposition method based on spectrum analysis. Second, based on the given node emission factor input into the storage module, it calculates the electrocarbon conversion coefficient using an electrocarbon conversion coefficient calculation method. Finally, based on the decomposed power signal and the electrocarbon conversion coefficient, it calculates the electrocarbon information entropy using an electrocarbon information entropy calculation method, and inputs the power signal and electrocarbon information entropy together into the display module. In an embodiment of the present invention, when performing power signal decomposition, a spectrum analysis method based on Fast Fourier Transform (FFT) decomposes the power signal into fundamental frequency, harmonics, and DC components. The DC component is designated as the 0th harmonic, the fundamental frequency as the 1st harmonic, and the power P can be decomposed into harmonic components (p0, p1, ..., p...). n The superposition of harmonics, where the subscript indicates the harmonic order and n is the maximum harmonic order. In the embodiments of the present invention, when calculating the electrocarbon conversion coefficient, firstly, the ratio of power to carbon emissions of different types of power generation is defined as the emission factor EF, where the emission factor of clean energy power generation is 0. Based on the power system flow calculation model, the nodal carbon potential of the node where the electrical equipment is located is determined by the connection status of the network nodes as e. k The input is given by the storage module; secondly, the electro-carbon conversion coefficient of the electrical equipment is calculated, with the fundamental frequency as positive and the other components that cause losses as negative.

[0073] C=(c(0),c(1),…,c(n))=(-e k e k ,…,-e k )

[0074] In an embodiment of the present invention, when calculating the entropy of the electrocarbon information, for the power signal p(x), the electrocarbon information entropy E(P) of the power signal P is calculated by combining the electrocarbon conversion coefficient C:

[0075] E(P)=-∑ x∈n c(x)p(x)log b p(x),

[0076] Where E(P) is the entropy of the electrical carbon information of the output power signal P; c(x) is the electrical carbon conversion coefficient corresponding to the harmonic component p(x) with harmonic order x after signal decomposition, n is the maximum harmonic order; b is the preset base; the smaller the electrical carbon information entropy, the higher the power quality and the smaller the loss and carbon emissions of electrical equipment.

[0077] In an embodiment of the present invention, when the base b = 2, the dimension of the information entropy is bit. Finally, the power signal and the electrical carbon information entropy are input into the display module, and the carbon emissions of electrical equipment can be assessed through the electrical carbon information entropy.

[0078] In this embodiment of the invention, a display module is used to display the collected voltage and current signals, as well as the calculated power and electrocarbon information entropy in real time. The electrocarbon information entropy is used as a quantitative indicator to measure the carbon emissions of electrical equipment. The higher the electrocarbon information entropy, the higher the quality of the output power of the grid-connected inverter, the lower the loss, and the lower the corresponding carbon emissions.

[0079] The method of this invention can be applied to the quantification of carbon emissions from power conversion equipment such as inverters, rectifiers, solid-state transformers, and energy routers, and can be used to achieve scientific measurement and evaluation of carbon emissions from electrical equipment and power systems. Specifically, the power signal decomposition method based on spectrum analysis can decompose usable components into components that need to be filtered and those that cause losses; the carbon emission flow calculation method based on power flow models can equate carbon emissions generated by power plants in the power system to load-side electrical equipment through carbon emission flows, establishing the relationship between power quality and carbon emissions from electrical equipment; the electro-carbon conversion coefficient can establish the conversion relationship between power signals and carbon emissions, quantifying the impact of components that need to be filtered and cause losses; the electro-carbon information entropy, as a quantitative indicator for measuring carbon emissions from electrical equipment, can reflect power quality and carbon emission status; the lower the electro-carbon information entropy, the higher the power quality and the lower the losses and carbon emissions of the electrical equipment; the display module can monitor the power quality and carbon emissions of the measured electrical equipment in real time.

[0080] Figure 3 This is a schematic diagram of the structure of a carbon emission assessment system 300 for electrical equipment according to an embodiment of the present invention. Figure 3 As shown, the carbon emission assessment system 300 for electrical equipment provided in this embodiment of the invention includes: a power signal acquisition module 301, a signal decomposition module 302, an electro-carbon conversion coefficient calculation module 303, and an electro-carbon information entropy calculation module 304.

[0081] Preferably, the power signal acquisition module 301 is used to acquire the voltage signal and current signal output by the electrical equipment, and acquire the output power signal of the electrical equipment based on the voltage signal and current signal.

[0082] Preferably, the system further includes:

[0083] A phase adjustment module is used to adjust the phase of the acquired voltage and current signals so that the phases of the current and voltage signals are consistent.

[0084] The analog-to-digital converter module is used to perform analog-to-digital conversion on phase-adjusted voltage and current signals to obtain digital voltage and current signals.

[0085] Preferably, the signal decomposition module 302 is used to perform signal analysis on the output power signal to obtain the decomposed signal.

[0086] Preferably, the signal decomposition module 302 performs signal analysis on the output power signal to obtain the decomposed signal, including:

[0087] The output power signal is decomposed into fundamental frequency components, harmonic components, and DC components using a spectrum analysis method based on Fast Fourier Transform (FFT). The DC component is denoted as the 0th harmonic, and the fundamental frequency component as the 1st harmonic. Thus, the output power signal P is decomposed into harmonic components (p0, p1, ..., p...). n The superposition of harmonics, where the subscript indicates the harmonic order and n is the maximum harmonic order.

[0088] Preferably, the electro-carbon conversion coefficient calculation module 303 is used to calculate the electro-carbon conversion coefficient and determine the electro-carbon conversion coefficient.

[0089] Preferably, the electro-carbon conversion coefficient calculation module 303 calculates the electro-carbon conversion coefficient and determines the electro-carbon conversion coefficient, including:

[0090] Obtain emission factors from the power generation side for different power generation methods;

[0091] Based on the generation-side emission factors of different power generation methods and the power system flow calculation model, the nodal carbon potential of node k where the electrical equipment is located is calculated according to the carbon emission flow calculation method, including:

[0092]

[0093] Among them, e k Let be the node carbon potential; i is the branch number; N is the set of all branches connected to this node that have a current flowing into this node; R i P represents the carbon emission flow rate per unit time for branch i. i The active power flow for branch i;

[0094] With the fundamental frequency component as positive and other frequency components as negative, the electro-carbon conversion coefficient C of the electrical equipment is determined as follows:

[0095] C=(c(0),c(1),…,c(n))=(-e k e k ,…,-e k ).

[0096] Preferably, the electrocarbon information entropy calculation module 304 is used to determine the electrocarbon information entropy based on the decomposition signal and the electrocarbon conversion coefficient, so as to assess the carbon emissions of the electrical equipment based on the electrocarbon information entropy.

[0097] Preferably, the electrocarbon information entropy calculation module 304 determines the electrocarbon information entropy based on the decomposition signal and the electrocarbon conversion coefficient, including:

[0098] E(P)=-∑ x∈n c(x)p(x)log b p(x),

[0099] Where E(P) is the entropy of the electrical carbon information of the output power signal P; c(x) is the electrical carbon conversion coefficient corresponding to the harmonic component p(x) with harmonic order x after signal decomposition, n is the maximum harmonic order; b is the preset base; the smaller the electrical carbon information entropy, the higher the power quality and the smaller the loss and carbon emissions of electrical equipment.

[0100] The carbon emission assessment system 300 for electrical equipment in an embodiment of the present invention corresponds to the carbon emission assessment method 100 for electrical equipment in another embodiment of the present invention, and will not be described again here.

[0101] The invention has been described with reference to a few embodiments. However, as will be known to those skilled in the art, and as defined in the appended claims, other embodiments besides those disclosed above fall equivalently within the scope of the invention.

[0102] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the art, unless otherwise expressly defined herein. All references to “a / the / the [device, component, etc.]” ​​are openly interpreted as at least one instance of said device, component, etc., unless otherwise expressly stated. The steps of any method disclosed herein need not be performed in the exact order disclosed unless explicitly stated otherwise.

[0103] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0104] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0105] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0106] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for assessing the carbon emissions of electrical equipment, characterized in that, The method includes: Acquire the voltage and current signals output by the electrical equipment, and based on the voltage and current signals, acquire the output power signal of the electrical equipment; The output power signal is analyzed to obtain the decomposed signal; Calculate and determine the electro-carbon conversion coefficient; Based on the decomposition signal and the electro-carbon conversion coefficient, the electro-carbon information entropy is determined in order to assess the carbon emissions of the electrical equipment based on the electro-carbon information entropy; The step of performing signal analysis on the output power signal to obtain the decomposed signal includes: The output power signal is decomposed into fundamental frequency components, harmonic components, and DC components using a spectrum analysis method based on Fast Fourier Transform (FFT). The DC component is denoted as the 0th harmonic, and the fundamental frequency component as the 1st harmonic. Thus, the output power signal P is decomposed into harmonic components. The superposition of harmonics, where the subscript indicates the harmonic order, and n is the maximum harmonic order; The calculation and determination of the electro-carbon conversion coefficient includes: Obtain emission factors from the power generation side for different power generation methods; Based on the generation-side emission factors of different power generation methods and the power system flow calculation model, the nodes where electrical equipment is located are calculated according to the carbon emission flow calculation method. k The nodal carbon potentials include: ， in, For the node carbon potential; i It is the branch road number. N It is the set of all branches connected to this node that have a current flowing into this node. R i branch road i Carbon emissions per unit time P i branch road i The meritorious trend; With the fundamental frequency component as positive and other frequency components as negative, the electro-carbon conversion coefficient C of the electrical equipment is determined as follows: ； The step of determining the electrocarbon information entropy based on the decomposition signal and the electrocarbon conversion coefficient includes: ， in, The entropy of the electrical carbon information of the output power signal P; The harmonic component with harmonic order x after signal decomposition The corresponding carbon-to-electric conversion coefficient, where n is the highest harmonic order and b is the preset base; the smaller the carbon-to-electric information entropy, the higher the power quality and the lower the loss and carbon emissions of electrical equipment.

2. The method according to claim 1, characterized in that, Before obtaining the output power signal of the electrical device based on the voltage signal and the current signal, the method further includes: The acquired voltage and current signals are phase-adjusted to make their phases consistent. The phase-adjusted voltage and current signals are converted from analog to digital to obtain digital voltage and current signals.

3. A carbon emission assessment system for electrical equipment, characterized in that, The system includes: A power signal acquisition module is used to acquire the voltage signal and current signal output by the electrical equipment, and to acquire the output power signal of the electrical equipment based on the voltage signal and current signal. The signal decomposition module is used to perform signal analysis on the output power signal and obtain the decomposed signal; The electro-carbon conversion coefficient calculation module is used to calculate and determine the electro-carbon conversion coefficient. An electrocarbon information entropy calculation module is used to determine the electrocarbon information entropy based on the decomposition signal and the electrocarbon conversion coefficient, so as to assess the carbon emissions of the electrical equipment based on the electrocarbon information entropy; The signal decomposition module performs signal analysis on the output power signal to obtain the decomposed signal, including: decomposing the output power signal into a fundamental frequency component, harmonic components, and a DC component using a spectrum analysis method based on Fast Fourier Transform (FFT). The DC component is designated as the 0th harmonic, and the fundamental frequency component as the 1st harmonic. Thus, the output power signal P is decomposed into harmonic components. The superposition of harmonics, where the subscript indicates the harmonic order, and n is the maximum harmonic order; The electro-carbon conversion coefficient calculation module calculates and determines the electro-carbon conversion coefficient, including: Obtain emission factors from the power generation side for different power generation methods; Based on the generation-side emission factors of different power generation methods and the power system flow calculation model, the nodes where electrical equipment is located are calculated according to the carbon emission flow calculation method. k The nodal carbon potentials include: ， in, For the node carbon potential; i It is the branch road number. N It is the set of all branches connected to this node that have a current flowing into this node. R i branch road i Carbon emissions per unit time P i branch road i The meritorious trend; With the fundamental frequency component as positive and other frequency components as negative, the electro-carbon conversion coefficient C of the electrical equipment is determined as follows: ； The electrocarbon information entropy calculation module determines the electrocarbon information entropy based on the decomposed signal and the electrocarbon conversion coefficient, including: ， in, The entropy of the electrical carbon information of the output power signal P; The harmonic component with harmonic order x after signal decomposition The corresponding carbon-to-electric conversion coefficient, where n is the highest harmonic order and b is the preset base; the smaller the carbon-to-electric information entropy, the higher the power quality and the lower the loss and carbon emissions of electrical equipment.

4. The system according to claim 3, characterized in that, The system also includes: A phase adjustment module is used to adjust the phase of the acquired voltage and current signals so that the phases of the current and voltage signals are consistent. The analog-to-digital converter module is used to perform analog-to-digital conversion on phase-adjusted voltage and current signals to obtain digital voltage and current signals.

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