Power supply quality evaluation method and system of power system

Abstract

The invention discloses a power supply quality evaluation method and system for an electric power system, and the method comprises the steps: measuring the sunlight intensity, light intensity and working temperature of a photovoltaic panel of the electric power system, and obtaining photovoltaic influence data; in combination with the measured operation data of the photovoltaic panel, performing fitting calculation on the photovoltaic influence data to obtain a photovoltaic evaluation index; and constructing a power supply quality evaluation model according to the photovoltaic evaluation indexes, and evaluating the power supply quality of the power system through the power supply quality evaluation model to obtain a power supply quality evaluation result of the power system. According to the method, influence factors related to photovoltaic power generation are considered in the power supply quality evaluation process of the power system, and the accuracy of a power supply quality evaluation result is improved.

Description

Technical Field

[0001] The invention belongs to the field of power supply quality assessment of electric power systems, and in particular relates to a power supply quality assessment method and system for electric power systems. Background Art

[0002] The power system is an organic whole composed of power generation, transmission, transformation, distribution and consumption. The power supply quality of the power system can usually be evaluated through several conventional indicators such as power quality, power supply reliability, power supply efficiency and power supply safety. At present, a large number of photovoltaic power stations have been built in various places. The establishment of these new energy power generation facilities not only helps to reduce dependence on traditional energy, but also can provide a cleaner and more sustainable energy supply. After years of development, photovoltaics have become an important part of the new power system. Therefore, it is necessary to study the quality assessment of photovoltaic power generation.

[0003] The existing power supply quality assessment method of the power system does not take photovoltaic power generation into account. Therefore, for the power system including renewable energy power generation, the power supply quality assessment results are often inaccurate. Summary of the invention

[0004] The present invention proposes a power supply quality assessment method and system for an electric power system, which takes into account the influencing factors related to photovoltaic power generation during the power supply quality assessment process of the electric power system, thereby improving the accuracy of the power supply quality assessment result.

[0005] A first aspect of the present invention provides a method for evaluating power supply quality of an electric power system, the method comprising:

[0006] Measure the sunshine intensity, light intensity and operating temperature of the photovoltaic panels of the power system to obtain photovoltaic impact data;

[0007] Combined with the measured operation data of the photovoltaic panel, the photovoltaic impact data is fitted and calculated to obtain a photovoltaic evaluation index;

[0008] A power supply quality assessment model is constructed according to the photovoltaic assessment index, and the power supply quality of the power system is assessed by the power supply quality assessment model to obtain a power supply quality assessment result of the power system.

[0009] The above scheme first measures the three factors that affect the efficiency of photovoltaic power generation, namely, the sunshine intensity, light intensity and operating temperature of the photovoltaic panel, to obtain photovoltaic impact data; then, the photovoltaic impact data is fitted and calculated through the operating data of the photovoltaic panel to quantify the direct impact of the photovoltaic impact data on photovoltaic power generation, and obtain photovoltaic evaluation indicators that can be used to evaluate the quality of photovoltaic power generation; finally, a power supply quality evaluation model is constructed according to the photovoltaic evaluation indicators, so that the impact of photovoltaic power generation is taken into account when evaluating the power supply quality of the power system, and a more accurate power supply quality evaluation result is obtained.

[0010] In a possible implementation method of the first aspect, the sunshine intensity, light intensity and operating temperature of the photovoltaic panels of the power system are measured to obtain photovoltaic impact data, specifically:

[0011] The output power of the photovoltaic panel is collected and fitted to obtain the sunshine intensity;

[0012] Measuring the light intensity of different wavelengths at the photovoltaic panel by a spectrum analyzer, and obtaining the spectrum distribution according to the light intensity of different wavelengths;

[0013] Measuring the operating temperature of the photovoltaic panel by a thermometer;

[0014] Photovoltaic impact data is obtained according to the sunlight intensity, spectral distribution and operating temperature.

[0015] The above scheme collects the output power, light intensity and operating temperature of the photovoltaic panel respectively, and then measures and converts these data to obtain photovoltaic impact data, successfully extracts the factors of photovoltaic power supply quality, and provides data support for subsequent calculations.

[0016] In a possible implementation method of the first aspect, the photovoltaic impact data is fitted and calculated in combination with the measured operation data of the photovoltaic panel to obtain a photovoltaic evaluation index, specifically:

[0017] Preprocessing the photovoltaic impact data according to a transmission method of the photovoltaic impact data;

[0018] Combined with the measured output power of the photovoltaic panel, the sunshine intensity and the operating temperature of the pre-processed photovoltaic impact data are fitted to obtain the sunshine intensity coefficient and the temperature-efficiency attenuation coefficient respectively;

[0019] In combination with the measured spectral conversion efficiency of the photovoltaic panel, the spectral distribution of the preprocessed photovoltaic impact data is calculated to obtain a spectral distribution function;

[0020] A photovoltaic evaluation index is obtained according to the sunlight intensity coefficient, the spectral distribution function and the temperature-efficiency attenuation coefficient.

[0021] The above scheme first preprocesses the photovoltaic impact data to improve the accuracy of the data, and then combines the measured output power of the photovoltaic panel to fit the sunshine intensity and operating temperature of the preprocessed photovoltaic impact data, so as to quantify the influence of sunshine intensity and operating temperature on photovoltaic power generation, so that the obtained sunshine intensity coefficient and temperature-efficiency attenuation coefficient can be used to evaluate the power supply quality of the power system; similarly, combined with the measured spectral conversion efficiency of the photovoltaic panel, the spectral distribution of the preprocessed photovoltaic impact data is calculated to obtain the spectral distribution function, so as to quantify the influence of light changes on photovoltaic power generation, and finally obtain a photovoltaic evaluation index that can accurately evaluate the quality of photovoltaic power generation.

[0022] In a possible implementation method of the first aspect, the photovoltaic impact data is preprocessed according to a transmission mode of the photovoltaic impact data, specifically:

[0023] If the transmission mode of the photovoltaic impact data is wired transmission, filtering the photovoltaic impact data;

[0024] If the photovoltaic impact data is transmitted in a wireless transmission mode, the photovoltaic impact data is firstly converted into analog-to-digital data, and then the photovoltaic impact data after the analog-to-digital conversion is filtered.

[0025] In the above scheme, when the transmission mode of photovoltaic impact data is wireless transmission, it is necessary to first perform analog-to-digital conversion on the photovoltaic impact data to prevent data distortion during wireless transmission; and filtering the photovoltaic impact data can enhance the anti-interference ability of the photovoltaic impact data and improve the accuracy of the data.

[0026] In a possible implementation method of the first aspect, the photovoltaic evaluation index is specifically:

[0027] The specific calculation formula of the photovoltaic evaluation index is:

[0028]

[0029] Among them, Q is the photovoltaic evaluation index, α and β are the sunshine intensity coefficients, I is the sunshine intensity, γ(S) is the spectral distribution function, e is the natural index, T is the photovoltaic panel temperature, and T 0 is the standard temperature of the photovoltaic panel, k is the temperature-efficiency attenuation coefficient, SAIDI is the average power outage duration of the power system, and SAIDI max is the maximum acceptable value of SAIDI.

[0030] A second aspect of the present invention provides a power supply quality assessment system for an electric power system, the system comprising: a data measurement module, a photovoltaic assessment index generation module and a power supply quality assessment result generation module;

[0031] The data measurement module is used to measure the sunshine intensity, light intensity and operating temperature of the photovoltaic panels of the power system to obtain photovoltaic impact data;

[0032] A photovoltaic evaluation index generation module is used to perform fitting calculation on the photovoltaic impact data in combination with the measured operation data of the photovoltaic panel to obtain a photovoltaic evaluation index;

[0033] The power supply quality assessment result generation module is used to construct a power supply quality assessment model according to the photovoltaic assessment index, evaluate the power supply quality of the power system through the power supply quality assessment model, and obtain the power supply quality assessment result of the power system.

[0034] In a possible implementation of the second aspect, the data measurement module includes: a photovoltaic impact data acquisition unit;

[0035] The photovoltaic impact data acquisition unit is used to collect the output power of the photovoltaic panel and perform fitting to obtain the sunlight intensity; measure the light intensity of different wavelengths at the photovoltaic panel by a spectrum analyzer, and obtain the spectral distribution according to the light intensity of different wavelengths; measure the working temperature of the photovoltaic panel by a thermometer; and obtain the photovoltaic impact data according to the sunlight intensity, spectral distribution and working temperature.

[0036] In a possible implementation of the second aspect, the photovoltaic evaluation index generation module includes: a photovoltaic evaluation index generation unit;

[0037] The photovoltaic evaluation index generation unit is used to preprocess the photovoltaic impact data according to the transmission method of the photovoltaic impact data; in combination with the measured output power of the photovoltaic panel, fit the sunshine intensity and operating temperature of the preprocessed photovoltaic impact data to obtain the sunshine intensity coefficient and the temperature-efficiency attenuation coefficient respectively; in combination with the measured spectral conversion efficiency of the photovoltaic panel, calculate the spectral distribution of the preprocessed photovoltaic impact data to obtain the spectral distribution function; according to the sunshine intensity coefficient, the spectral distribution function and the temperature-efficiency attenuation coefficient, obtain the photovoltaic evaluation index.

[0038] In a possible implementation of the second aspect, the photovoltaic evaluation index generation module includes: a data preprocessing unit;

[0039] The data preprocessing unit is used to filter the photovoltaic impact data if the transmission mode of the photovoltaic impact data is wired transmission; if the transmission mode of the photovoltaic impact data is wireless transmission, first perform analog-to-digital conversion on the photovoltaic impact data, and then filter the photovoltaic impact data after the analog-to-digital conversion.

[0040] A third aspect of the present invention provides a storage medium, which stores computer-readable program codes. When the computer-readable program codes are executed, the steps of a method for evaluating power quality of an electric power system described in any one of the embodiments of the present invention are implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the implementation mode will be briefly introduced below. Obviously, the drawings described below are only some implementation modes of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 A specific flow chart of a method for evaluating power quality of an electric power system is provided in accordance with a certain embodiment of the present invention;

[0043] Figure 2 A structural diagram of a power supply quality assessment system for a power system is provided in accordance with a certain embodiment of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] It should be understood that the step numbers used in this article are only for the convenience of description and are not intended to limit the order in which the steps are executed.

[0046] The power system is an organic whole composed of power generation, transmission, transformation, distribution and power consumption. It is generally evaluated through several conventional indicators such as power quality, power supply reliability, power supply efficiency and power supply safety. Among them, power quality refers to the quality of power provided to users. The main indicators of power quality include voltage deviation, frequency deviation, three-phase imbalance, harmonics and interharmonics. These indicators can be obtained through measurement and calculation; power supply reliability refers to the ability of the power system to provide power uninterruptedly. Reliability is mainly determined by factors such as the reliability of power generation equipment, transmission equipment, distribution equipment, substation equipment and user equipment; power supply efficiency refers to the ratio of energy consumed by the power system during operation to the energy output. A high-efficiency power system means more efficient energy utilization, which can reduce energy waste and cost; power supply safety refers to the ability of the power system to operate without failure or accidents. Safety is one of the most important indicators of the power system. Ensuring the safe operation of the power system can avoid major accidents and protect people's lives and property.

[0047] However, for the power system that includes photovoltaic power generation, which is being used more and more widely, it is impossible to accurately obtain the power supply quality assessment results by relying solely on the above-mentioned conventional indicators for power supply quality assessment. Therefore, it is necessary to measure and quantify the influencing factors of photovoltaic power generation, and combine the influencing factors of photovoltaic power generation with the above-mentioned conventional indicators to conduct a more complete and accurate power supply quality assessment, so as to obtain high-precision power supply quality assessment results, so as to further improve the operating stability of the power system.

[0048] like Figure 1 As shown, Figure 1 A specific flow chart of a method for evaluating the power quality of an electric power system is provided for a certain embodiment of the present invention. The method for evaluating the power quality of an electric power system of this embodiment includes steps S1 to S3, which are described in detail as follows:

[0049] Step S1, measuring the sunshine intensity, light intensity and operating temperature of the photovoltaic panels of the power system to obtain photovoltaic impact data;

[0050] In this step, important indicators for evaluating the quality of photovoltaic power generation include the sunlight intensity, spectral distribution and operating temperature of the photovoltaic panels.

[0051] The change of sunshine intensity will cause the fluctuation of the output power of photovoltaic cells, thus affecting the stability of power supply quality. Sunlight intensity directly affects the output power and current of photovoltaic panels, and then affects the power generation. Under standard test conditions, that is, under an irradiance of 1000W / m2, the power and current of polysilicon modules are linearly related to the sunshine intensity. When the sunshine intensity increases, the output power and current of photovoltaic panels increase, and the power generation increases. Under a certain sunshine intensity, the conversion efficiency of photovoltaic cells increases with the increase of irradiance. When the irradiance exceeds a certain value, the conversion efficiency of photovoltaic cells will gradually decrease. This is mainly due to the increase in temperature and the increase in light reflection loss. The optimal irradiance range is approximately between 200W / m2 and 1000W / m2. Within this range, the conversion efficiency of photovoltaic cells is the highest, and with the increase of irradiance, the conversion efficiency will also increase. Excessive sunlight may generate excessive heat and pressure on photovoltaic modules, causing module damage or safety accidents such as fire. Therefore, photovoltaic modules made of polycrystalline silicon are often used to avoid damage to photovoltaic equipment caused by excessive sunlight intensity, or trackers are installed on photovoltaic panels to monitor excessive sunlight intensity in time.

[0052] Since the sunshine intensity will affect the output power of the photovoltaic panel, the present embodiment uses a solar radiometer to collect the output power of the photovoltaic panel, and fits the output power of the photovoltaic panel to obtain the sunshine intensity.

[0053] Furthermore, as one of the important indicators of photovoltaic power supply quality, spectral distribution also has a direct impact on the output power and current of photovoltaic power generation. Light with different spectral distributions will affect the conversion efficiency of photovoltaic cells, thereby affecting the stability of power supply quality. At the same time, spectral distribution has a direct impact on the conversion efficiency of photovoltaic cells. Different types of photovoltaic cells have different responses to the spectrum. For polycrystalline silicon photovoltaic cells, due to their wide spectral response and good absorption of visible light, they are less affected by light, while monocrystalline silicon is worse. Although polycrystalline silicon photovoltaic cells absorb visible light better, their response speed is slow, so the comprehensive conversion efficiency may be slightly lower than that of monocrystalline silicon photovoltaic cells. On the other hand, spectral distribution will also affect the temperature and light reflection loss of photovoltaic modules, thereby reducing the efficiency of photovoltaic power generation. In addition, certain wavelengths of light may generate excessive heat and pressure on photovoltaic modules, resulting in safety accidents such as module damage or fire. Some photovoltaic cells may also fail or be damaged prematurely, reducing the service life of photovoltaic cells. Therefore, in order to improve the conversion efficiency of photovoltaic cells, such as using multi-junction photovoltaic cells, spectral splitting systems, and optical elements for spectral shaping, the beneficial effect of spectral distribution on photovoltaic panels can be maximized.

[0054] The light intensity of different wavelengths at the photovoltaic panel is measured by a spectrum analysis instrument to obtain light of different wavelengths and corresponding light intensity, and the spectrum distribution is obtained according to the light intensity of different wavelengths.

[0055] Another important indicator of the quality of photovoltaic power generation is the operating temperature of the photovoltaic panel. The temperature of photovoltaic power generation will affect the output power and current of the photovoltaic panel. Generally speaking, as the temperature rises, the output power and current of the photovoltaic panel will decrease, but too high a temperature may cause the photovoltaic module to age faster and reduce its service life. Within a certain temperature range, the conversion efficiency of the photovoltaic cell decreases as the temperature rises. This effect is mainly determined by the semiconductor material characteristics of the photovoltaic cell.

[0056] In this embodiment, the operating temperature of the photovoltaic panel is measured by a thermometer.

[0057] Finally, photovoltaic impact data is obtained according to the sunlight intensity, spectral distribution and operating temperature.

[0058] Step S2, combining the measured operation data of the photovoltaic panel, performing fitting calculation on the photovoltaic impact data to obtain a photovoltaic evaluation index;

[0059] In this step, the photovoltaic impact data is first transmitted to the terminal for calculation, and before the transmission, the photovoltaic impact data is preprocessed according to the transmission mode of the photovoltaic impact data.

[0060] If the transmission mode of the photovoltaic impact data is wired transmission, filtering the photovoltaic impact data;

[0061] If the photovoltaic impact data is transmitted wirelessly, the photovoltaic impact data is first converted into digital form by a digital-to-analog converter to avoid data distortion during wireless transmission, and then the photovoltaic impact data after the analog-to-digital conversion is filtered.

[0062] In some embodiments, a port is used for wired transmission, and a WI-FI or SIM card signal is used for wireless transmission.

[0063] After the preprocessed photovoltaic impact data is transmitted to the terminal, the sunshine intensity and working temperature of the preprocessed photovoltaic impact data are fitted in combination with the measured output power of the photovoltaic panel to obtain the sunshine intensity coefficient and the temperature-efficiency attenuation coefficient respectively.

[0064] Specifically, there is a formula for calculating the actual output power of photovoltaic panels:

[0065]

[0066] Where P out is the actual output power of the photovoltaic panel, Pmax is the maximum output power of the photovoltaic panel, which is measured under the preset standard test conditions. α and β are the sunshine intensity coefficients, I is the sunshine intensity, e is the natural index, T is the photovoltaic panel temperature, and T 0 is the standard temperature of the photovoltaic panel, which is set to 20° C. in this embodiment, and k is the temperature-efficiency attenuation coefficient.

[0067] According to the above two formulas, P max =α·I β ,Since the maximum output power of the photovoltaic panel is known, the sunshine intensity coefficients α and β can be inferred based on the sunshine intensity I.

[0068] And P out is actually measured, T 0 is known, so the temperature-efficiency reduction coefficient k can also be inferred from the photovoltaic panel temperature.

[0069] In addition, in combination with the measured spectral conversion efficiency of the photovoltaic panel, the spectral distribution of the pre-processed photovoltaic impact data is calculated to obtain a spectral distribution function.

[0070] The spectral distribution function has the following specific formula:

[0071]

[0072] Where γ(S) is the spectral distribution function, n is the total number of spectral intervals, and R i is the response power of the photovoltaic panel in the i-th spectral interval (which is a parameter of the photovoltaic panel itself and can be obtained using a single spectrum irradiation), S i is the solar radiation intensity in the i-th spectral interval.

[0073] R i is a parameter of the photovoltaic panel itself, which is known. According to the spectral distribution, the total number of spectral intervals and the corresponding solar radiation intensity can be known. Therefore, the spectral distribution function can be derived from the spectral distribution of the photovoltaic impact data.

[0074] Finally, a photovoltaic evaluation index is obtained according to the sunlight intensity coefficient, the spectral distribution function and the temperature-efficiency attenuation coefficient.

[0075] The specific calculation formula of the photovoltaic evaluation index is:

[0076]

[0077] Among them, Q is the photovoltaic evaluation index, SAIDI is the average power outage duration of the power system, and SAIDI max is the maximum acceptable value of SAIDI.

[0078] Step S3, constructing a power supply quality assessment model according to the photovoltaic assessment index, and evaluating the power supply quality of the power system through the power supply quality assessment model to obtain a power supply quality assessment result of the power system.

[0079] In this step, after obtaining the photovoltaic evaluation indicators, the power supply quality evaluation model is constructed by combining the conventional evaluation indicators: power quality, power supply reliability, power supply efficiency and power supply safety, and according to the preset convolution module and activation function.

[0080] The electric energy data of the power system collected in real time is then input into the power supply quality assessment model for processing to obtain the power supply quality assessment result of the power system, which is used to maintain the power system and improve the operating stability and power supply quality of the power system.

[0081] Further, in order to execute the power supply quality assessment system of the power system corresponding to the above method embodiment to achieve the corresponding functions and technical effects, Figure 2 A structural diagram of a power supply quality assessment system for a power system is provided. For ease of description, only the parts related to this embodiment are shown. The power supply quality assessment system for a power system provided by an embodiment of the present invention includes:

[0082] The data measurement module 201 is used to measure the sunshine intensity, light intensity and operating temperature of the photovoltaic panels of the power system to obtain photovoltaic impact data;

[0083] A photovoltaic evaluation index generating module 202 is used to perform fitting calculation on the photovoltaic impact data in combination with the measured operation data of the photovoltaic panel to obtain a photovoltaic evaluation index;

[0084] The power supply quality assessment result generating module 203 is used to construct a power supply quality assessment model according to the photovoltaic assessment index, and evaluate the power supply quality of the power system through the power supply quality assessment model to obtain the power supply quality assessment result of the power system.

[0085] In some embodiments, the data measurement module 201 includes:

[0086] The photovoltaic impact data acquisition unit is used to collect the output power of the photovoltaic panel and perform fitting to obtain the sunlight intensity; measure the light intensity of different wavelengths at the photovoltaic panel by a spectrum analysis instrument, and obtain the spectral distribution according to the light intensity of different wavelengths; measure the working temperature of the photovoltaic panel by a thermometer; and obtain the photovoltaic impact data according to the sunlight intensity, spectral distribution and working temperature.

[0087] In some embodiments, the photovoltaic evaluation index generation module 202 includes:

[0088] The photovoltaic evaluation index generating unit is used to pre-process the photovoltaic impact data according to the transmission mode of the photovoltaic impact data; fit the sunshine intensity and the operating temperature of the pre-processed photovoltaic impact data in combination with the measured output power of the photovoltaic panel, and obtain the sunshine intensity coefficient and the temperature-efficiency attenuation coefficient respectively; calculate the spectral distribution of the pre-processed photovoltaic impact data in combination with the measured spectral conversion efficiency of the photovoltaic panel, and obtain the spectral distribution function; obtain the photovoltaic evaluation index according to the sunshine intensity coefficient, the spectral distribution function and the temperature-efficiency attenuation coefficient.

[0089] The data preprocessing unit is used to filter the photovoltaic impact data if the photovoltaic impact data is transmitted by wired transmission; if the photovoltaic impact data is transmitted by wireless transmission, first perform analog-to-digital conversion on the photovoltaic impact data, and then filter the photovoltaic impact data after the analog-to-digital conversion.

[0090] An embodiment of the present invention further provides a storage medium, wherein the storage medium stores computer-readable program codes, and when the computer-readable program codes are executed, the steps of the above-mentioned method for evaluating the power supply quality of an electric power system are implemented.

[0091] This embodiment proposes a method and system for evaluating the power supply quality of an electric power system: measuring the sunshine intensity, light intensity and operating temperature of the photovoltaic panels of the electric power system to obtain photovoltaic impact data; combining the measured operating data of the photovoltaic panels to fit the photovoltaic impact data to obtain photovoltaic evaluation indicators; constructing a power supply quality evaluation model based on the photovoltaic evaluation indicators, evaluating the power supply quality of the electric power system through the power supply quality evaluation model, and obtaining the power supply quality evaluation results of the electric power system. The beneficial effect is that the influencing factors related to photovoltaic power generation are taken into account in the process of evaluating the power supply quality of the electric power system, thereby improving the accuracy of the power supply quality evaluation results.

[0092] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for evaluating the power supply quality of an electric power system, characterized in that: include: Measure the sunshine intensity, light intensity and operating temperature of the photovoltaic panels of the power system to obtain photovoltaic impact data; Combined with the measured operation data of the photovoltaic panel, the photovoltaic impact data is fitted and calculated to obtain a photovoltaic evaluation index; A power supply quality assessment model is constructed according to the photovoltaic assessment index, and the power supply quality of the power system is assessed by the power supply quality assessment model to obtain a power supply quality assessment result of the power system.

2. The power supply quality assessment method of the power system according to claim 1, characterized in that: The photovoltaic impact data is obtained by measuring the sunshine intensity, light intensity and operating temperature of the photovoltaic panels of the power system, specifically: The output power of the photovoltaic panel is collected and fitted to obtain the sunshine intensity; Measuring the light intensity of different wavelengths at the photovoltaic panel by a spectrum analyzer, and obtaining the spectrum distribution according to the light intensity of different wavelengths; Measuring the operating temperature of the photovoltaic panel by a thermometer; Photovoltaic impact data is obtained according to the sunlight intensity, spectral distribution and operating temperature.

3. The power supply quality assessment method of the power system according to claim 1, characterized in that: The photovoltaic impact data is fitted and calculated in combination with the measured operation data of the photovoltaic panel to obtain a photovoltaic evaluation index, which is specifically: Preprocessing the photovoltaic impact data according to a transmission method of the photovoltaic impact data; Combined with the measured output power of the photovoltaic panel, the sunshine intensity and the operating temperature of the pre-processed photovoltaic impact data are fitted to obtain the sunshine intensity coefficient and the temperature-efficiency attenuation coefficient respectively; In combination with the measured spectral conversion efficiency of the photovoltaic panel, the spectral distribution of the preprocessed photovoltaic impact data is calculated to obtain a spectral distribution function; A photovoltaic evaluation index is obtained according to the sunlight intensity coefficient, the spectral distribution function and the temperature-efficiency attenuation coefficient.

4. The power supply quality assessment method of the power system according to claim 3, characterized in that: The preprocessing of the photovoltaic impact data according to the transmission mode of the photovoltaic impact data is specifically as follows: If the transmission mode of the photovoltaic impact data is wired transmission, filtering the photovoltaic impact data; If the photovoltaic impact data is transmitted in a wireless transmission mode, the photovoltaic impact data is firstly converted into analog-to-digital data, and then the photovoltaic impact data after the analog-to-digital conversion is filtered.

5. The power supply quality assessment method of the power system according to claim 3, characterized in that: The photovoltaic evaluation indicators are specifically: The specific calculation formula of the photovoltaic evaluation index is: Among them, Q is the photovoltaic evaluation index, α and β are the sunshine intensity coefficients, I is the sunshine intensity, γ(S) is the spectral distribution function, e is the natural index, T is the photovoltaic panel temperature, T0 is the standard temperature of the photovoltaic panel, k is the temperature-efficiency attenuation coefficient, SAIDI is the average power outage duration of the power system, and SAIDI max is the maximum acceptable value of SAIDI.

6. A power supply quality assessment system for a power system, characterized in that: include: Data measurement module, photovoltaic evaluation index generation module and power supply quality evaluation result generation module; The data measurement module is used to measure the sunshine intensity, light intensity and operating temperature of the photovoltaic panels of the power system to obtain photovoltaic impact data; A photovoltaic evaluation index generation module is used to perform fitting calculation on the photovoltaic impact data in combination with the measured operation data of the photovoltaic panel to obtain a photovoltaic evaluation index; The power supply quality assessment result generation module is used to construct a power supply quality assessment model according to the photovoltaic assessment index, evaluate the power supply quality of the power system through the power supply quality assessment model, and obtain the power supply quality assessment result of the power system.

7. The power supply quality assessment system of the power system according to claim 6, characterized in that: The data measurement module includes: a photovoltaic impact data acquisition unit; The photovoltaic impact data acquisition unit is used to collect the output power of the photovoltaic panel and perform fitting to obtain the sunlight intensity; measure the light intensity of different wavelengths at the photovoltaic panel by a spectrum analyzer, and obtain the spectral distribution according to the light intensity of different wavelengths; measure the working temperature of the photovoltaic panel by a thermometer; and obtain the photovoltaic impact data according to the sunlight intensity, spectral distribution and working temperature.

8. The power supply quality assessment system of the power system according to claim 6, characterized in that: The photovoltaic evaluation index generation module includes: a photovoltaic evaluation index generation unit; The photovoltaic evaluation index generation unit is used to preprocess the photovoltaic impact data according to the transmission method of the photovoltaic impact data; in combination with the measured output power of the photovoltaic panel, fit the sunshine intensity and operating temperature of the preprocessed photovoltaic impact data to obtain the sunshine intensity coefficient and the temperature-efficiency attenuation coefficient respectively; in combination with the measured spectral conversion efficiency of the photovoltaic panel, calculate the spectral distribution of the preprocessed photovoltaic impact data to obtain the spectral distribution function; according to the sunshine intensity coefficient, the spectral distribution function and the temperature-efficiency attenuation coefficient, obtain the photovoltaic evaluation index.

9. The power supply quality assessment system of the power system according to claim 6, characterized in that: The photovoltaic evaluation index generation module includes: a data preprocessing unit; The data preprocessing unit is used to filter the photovoltaic impact data if the transmission mode of the photovoltaic impact data is wired transmission; if the transmission mode of the photovoltaic impact data is wireless transmission, first perform analog-to-digital conversion on the photovoltaic impact data, and then filter the photovoltaic impact data after the analog-to-digital conversion.

10. A storage medium, characterized in that: The storage medium stores computer-readable program codes, and when the computer-readable program codes are executed, the steps of a method for evaluating power quality of an electric power system according to any one of claims 1 to 5 are implemented.

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