Photovoltaic power station evaluation method, device, equipment and medium

Abstract

The invention relates to the technical field of photovoltaic operation and maintenance, and discloses a photovoltaic power station evaluation method, device, equipment and medium, and the method comprises the steps: obtaining an evaluation index condition which comprises a plurality of index parameters, and the index parameters represent evaluation dimensions for a photovoltaic power station; constructing an operation state index condition based on the evaluation index condition; based on the operation state index condition, obtaining an operation state index set of the photovoltaic power station to be evaluated; obtaining an evaluation index set of the to-be-evaluated photovoltaic power station from the index parameter information of the to-be-evaluated photovoltaic power station under each evaluation index condition; and based on the operation state index set and the evaluation index set, constructing an evaluation set of the photovoltaic power station to be evaluated. According to the method, the photovoltaic power station can be evaluated by comprehensively considering multiple factors.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic operation and maintenance technology, and in particular to a photovoltaic power station evaluation method, device, equipment and medium. Background Art

[0002] As global environmental problems become increasingly severe, solar energy has become a renewable energy source that has attracted much attention due to its clean, safe, abundant resources and low cost. Actively promoting the development of the photovoltaic power generation industry is a key way to help optimize the energy structure, reduce environmental pollution and promote the transformation of social economy to sustainable development.

[0003] In related technologies, photovoltaic power stations are usually evaluated based on a single indicator, and the evaluation results are not comprehensive enough.

[0004] In view of this, a comprehensive evaluation method for photovoltaic power plants that can comprehensively consider multiple factors is needed. Summary of the invention

[0005] In view of this, the present invention provides a photovoltaic power station evaluation method to evaluate the photovoltaic power station from multiple dimensions.

[0006] In a first aspect, the present invention provides a method for evaluating a photovoltaic power station, the method comprising: obtaining evaluation index conditions, wherein the evaluation index conditions include several index parameters, the index parameters represent evaluation dimensions for the photovoltaic power station, the evaluation dimensions include several sub-indicators, and the index parameters include at least one of an equipment operation level index, a solar energy resource index, a power index, an energy consumption index, and an equipment reliability index; based on the evaluation index conditions, constructing an operation status index condition, wherein the operation status index condition includes a spatial performance ratio and a second operation status index, and the second operation status index includes at least one of an absolute deviation value, a relative deviation value, a correlation coefficient, and a relative distance; based on the operation status index condition, obtaining an operation status index set of a photovoltaic power station to be evaluated, wherein the operation status index set includes spatial performance ratio information and second operation status index information; obtaining the index parameter information of the photovoltaic power station to be evaluated under each evaluation index condition as an evaluation index set of the photovoltaic power station to be evaluated; and constructing an evaluation set of the photovoltaic power station to be evaluated based on the operation status index set and the evaluation index set.

[0007] In this implementation, establishing an evaluation index set can make the comparison of different photovoltaic power stations more fair. The evaluation index set includes at least one index parameter of equipment operation level index, solar energy resource index, power index, energy consumption index and equipment reliability index, which can evaluate the performance of the power station from different angles. Constructing the operation status index and obtaining the operation status index information can evaluate the operation efficiency and status of the photovoltaic power station.

[0008] In an optional embodiment, obtaining spatial performance ratio information includes: obtaining historical power generation data and actual power measured values ​​of the photovoltaic power station to be evaluated; determining the power prediction value of the photovoltaic power station to be evaluated based on the historical power generation data; and determining the spatial performance ratio information of the photovoltaic power station to be evaluated based on the power prediction value and the actual power measured value, wherein the spatial performance ratio information is the ratio of the actual power measured value to the power prediction value.

[0009] In this implementation, the spatial performance ratio information of the photovoltaic power station to be evaluated is obtained, and the operation efficiency of the photovoltaic power station can be obtained.

[0010] In an optional implementation, obtaining the operating status indicator set of the photovoltaic power station to be evaluated further includes: performing temperature correction on the space performance ratio information in the operating status indicator set.

[0011] In this embodiment, temperature correction is performed on the spatial performance ratio information, which can ensure that the performance evaluation of the photovoltaic power station to be evaluated is more accurate and avoid errors caused by temperature changes.

[0012] In an optional embodiment, when the second operating status indicator includes an absolute deviation value, based on the operating status indicator condition, obtaining the operating status indicator set of the photovoltaic power station to be evaluated includes: obtaining an electrical prediction value of the photovoltaic power station to be evaluated, wherein the electrical prediction value includes one of current, voltage and power output; obtaining an actual measurement value corresponding to the electrical prediction value; based on the electrical prediction value and the actual measurement value, obtaining an absolute deviation value, wherein the absolute deviation value is the difference between the electrical prediction value and the actual measurement value.

[0013] In this implementation, by obtaining the absolute deviation value of the photovoltaic power station to be evaluated, the difference between the actual measured value and the predicted value of the photovoltaic power station can be intuitively seen.

[0014] In an optional embodiment, when the second operating status indicator includes a relative deviation value, based on the operating status indicator condition, obtaining the operating status indicator set of the photovoltaic power station to be evaluated includes: obtaining the electrical prediction value and the actual measurement value of the photovoltaic power station to be evaluated; based on the electrical prediction value and the actual measurement value, determining the absolute deviation value of the photovoltaic power station to be evaluated; based on the absolute deviation value and the electrical prediction value, determining the relative deviation value of the photovoltaic power station to be evaluated.

[0015] In this implementation, by acquiring the relative deviation value of the photovoltaic power station to be evaluated, the photovoltaic power station can be evaluated from a standardized perspective.

[0016] In an optional embodiment, when the second operating status indicator includes a correlation coefficient, based on the operating status indicator conditions, obtaining the operating status indicator set of the photovoltaic power station to be evaluated includes: obtaining initial electrical measurement values ​​of the photovoltaic power station to be evaluated, and constructing an initial electrical time series; determining an expected time scale; based on the expected time scale and the initial electrical measurement values, obtaining a second electrical time series; obtaining the correlation coefficient between the initial electrical time series and the second electrical time series.

[0017] In this embodiment, by obtaining the correlation coefficients of different electrical time series of the photovoltaic power station to be evaluated, the similarity of the photovoltaic power station in different electrical time series can be quantitatively evaluated.

[0018] In an optional embodiment, when the second operating status indicator includes a relative distance, based on the operating status indicator condition, obtaining the operating status indicator set of the photovoltaic power station to be evaluated includes: obtaining initial electrical measurement values ​​of the photovoltaic power station to be evaluated, and constructing an initial electrical time series; determining an expected time scale; based on the expected time scale and the initial electrical measurement values, obtaining a second electrical time series; obtaining the relative distance between the initial electrical time series and the second electrical time series, wherein the relative distance is a relative Euclidean distance.

[0019] In this implementation, the relative Euclidean distance of the photovoltaic power station to be evaluated is obtained, so that the dynamic deviation of the photovoltaic power station can be evaluated.

[0020] In a second aspect, the present invention provides a photovoltaic power station evaluation device, the device comprising: an evaluation index condition acquisition module, used to acquire evaluation index conditions, wherein the evaluation index conditions include several index parameters, the index parameters represent evaluation dimensions for the photovoltaic power station, the evaluation dimensions include several sub-indicators, and the index parameters include at least one of an equipment operation level index, a solar energy resource index, a power index, an energy consumption index, and an equipment reliability index; an operation status index condition construction module, used to construct an operation status index condition based on the evaluation index conditions, wherein the operation status index condition includes a space performance ratio and a second operation status index, and the second operation status index includes at least one of an absolute deviation value, a relative deviation value, a correlation coefficient, and a relative distance; an operation status information acquisition module, used to acquire an operation status index set of a photovoltaic power station to be evaluated based on the operation status index conditions, wherein the operation status index set includes space performance ratio information and second operation status index information; an evaluation index information acquisition module, used to acquire the index parameter information of the photovoltaic power station to be evaluated under each evaluation index condition as an evaluation index set of the photovoltaic power station to be evaluated; an evaluation set construction module, used to construct an evaluation set of the photovoltaic power station to be evaluated based on the operation status index set and the evaluation index set.

[0021] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the photovoltaic power station evaluation method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0022] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the photovoltaic power station evaluation method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 is a schematic flow chart of a photovoltaic power station evaluation method according to an embodiment of the present invention;

[0025] Figure 2 is a flow chart of another photovoltaic power station evaluation method according to an embodiment of the present invention;

[0026] Figure 3 is a structural block diagram of a photovoltaic power station evaluation device according to an embodiment of the present invention;

[0027] Figure 4 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0029] According to an embodiment of the present invention, an embodiment of a photovoltaic power station evaluation method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0030] In this embodiment, a photovoltaic power station evaluation method is provided. Figure 1 is a flow chart of a photovoltaic power station evaluation method according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0031] Step S101, obtaining evaluation index conditions, wherein the evaluation index conditions include several index parameters, the index parameters represent evaluation dimensions for the photovoltaic power station, the evaluation dimensions include several sub-indicators, and the index parameters include at least one of equipment operation level index, solar energy resource index, power index, energy consumption index and equipment reliability index.

[0032] The evaluation index conditions include index parameters that are not restricted, and different index parameters can evaluate photovoltaic power stations in different dimensions. The content of sub-indicators is not restricted.

[0033] The equipment operation level index can reflect the operating efficiency and reliability of photovoltaic power station equipment, including sub-indicators such as the overall efficiency of the photovoltaic power station, maximum output, inverter conversion efficiency and photovoltaic array efficiency.

[0034] The overall efficiency of the photovoltaic power station can be determined by calculating the ratio of actual power generation to theoretical power generation during the test time.

[0035] The maximum output of a photovoltaic power station refers to the maximum value of the active power on the high-voltage side of the photovoltaic power station during the statistical period. The inverter conversion efficiency refers to the efficiency of the inverter in converting DC power to AC power during the statistical period. It can be determined by calculating the ratio of the inverter output power to the inverter input power. The photovoltaic array efficiency refers to the energy conversion efficiency of the photovoltaic array, which indicates the ability of the photovoltaic array to convert energy. In a practical application, it is obtained through the following formula:

[0036]

[0037] Among them, η A is the photovoltaic array efficiency, E DC is the inverter input power, A is the effective area of ​​the photovoltaic array, H T is the total radiation of the inclined surface.

[0038] Solar energy resource indicators can reflect the actual solar energy resource status of photovoltaic power stations during the statistical period, and can include sub-indicators such as average wind speed, average temperature, relative temperature, total radiation on horizontal plane, total radiation on inclined plane and sunshine hours for comprehensive characterization. The average wind speed refers to the average value of the instantaneous wind speed in the area where the photovoltaic power station is located during the statistical period, which can be measured by the environmental monitoring instrument in the photovoltaic power station. The average temperature refers to the average value of the ambient temperature in the area where the photovoltaic power station is located during the statistical period, which can be measured by the environmental monitoring instrument in the photovoltaic power station. Relative temperature refers to the comparison value between the absolute temperature in the air and the saturated absolute humidity at the same temperature. The total radiation on horizontal plane refers to the solar radiation energy per unit area irradiated to the horizontal plane during the statistical period. The total radiation on inclined plane refers to the solar radiation energy per unit area irradiated to a certain inclined surface during the statistical period. The sunshine hours refer to the sum of the time when the solar radiation intensity reaches or exceeds the first radiation intensity during the statistical period. In a practical application, the first radiation intensity is 120 watts per square meter.

[0039] The electricity index can reflect the output and electricity purchase of photovoltaic power stations during the statistical period, and can include sub-indicators such as power generation, grid-connected power, grid-purchased power, inverter input power, inverter output power, equivalent utilization hours, abandoned photovoltaic power and abandoned photovoltaic rate. Among them, power generation refers to the sum of active power measured by the electric meters of each branch of the photovoltaic power station during the statistical period. The grid-connected power refers to the total electric energy transmitted from the power station to the power grid during the statistical period, which can be read from the gateway meter between the power station and the power grid. The grid-purchased power refers to the electric energy transmitted from the power grid to the photovoltaic power station measured by the gateway meter of the photovoltaic power station during the statistical period. The inverter input power refers to the DC power input to the inverter in the photovoltaic array during the statistical period. The inverter output power refers to the AC transmission power measured at the outlet of the power generation unit during the statistical period. The equivalent utilization hours refer to the power generation hours converted from the power generation of the power station during the statistical period to the full load operation conditions of all the installed capacity of the station. In a practical application, the equivalent utilization hours can be obtained by the following formula:

[0040]

[0041] Among them, Y p is the equivalent utilization hours, E P is the power generation, and P0 is the installed capacity of the power station.

[0042] Abandoned photovoltaic power refers to the amount of power that can be generated by a photovoltaic power station but is not generated due to factors such as the transmission channel of the power grid or the need for safe operation. Abandoned photovoltaic rate refers to the percentage of abandoned photovoltaic power to the sum of the actual power generation and abandoned photovoltaic power of the photovoltaic power station during the statistical period.

[0043] Energy consumption indicators can reflect the indicators of power consumption and loss of photovoltaic power stations, including sub-indicators such as plant power consumption, comprehensive plant power consumption, plant power consumption rate, comprehensive plant power consumption rate, plant loss rate, inverter loss, collection line and box transformer loss. Among them, plant power consumption refers to the difference between the power generation and sales during the statistical period. Comprehensive plant power consumption refers to all the electric energy consumed during the operation of the photovoltaic power station during the statistical period. Plant power consumption rate refers to the percentage of plant power consumption in the power generation of the photovoltaic power station during the statistical period. Comprehensive plant power consumption rate refers to the percentage of comprehensive plant power consumption in the power generation of the photovoltaic power station during the statistical period. Plant loss rate refers to the percentage of power consumed by the power transmission and transformation system and the photovoltaic power generation system in the photovoltaic power station during the statistical period. Inverter loss refers to the loss caused by the conversion of DC power output by the inverter-equipped photovoltaic array into AC power during the statistical period. The loss of the collector line and box transformer refers to the power loss from the AC output of the inverter to the branch meter during the statistical period. The loss of the collector line and box transformer includes the loss of the inverter output line, the box transformer loss and the line loss in the plant, etc., which can be obtained by calculating the difference between the inverter output power and the power generation. The booster station loss refers to the power loss from the branch meter of the photovoltaic power station to the power station output switch meter during the statistical period. The booster station loss includes the main transformer loss, station transformer loss, busbar loss and other line losses in the station, which can be obtained by calculating the difference between the power generation of the photovoltaic power station and the power connected to the grid.

[0044] Equipment reliability indicators can reflect the operating conditions of inverters throughout the plant, including sub-indicators such as power generation time, downtime and interruption time. Among them, power generation time refers to the normal power generation hours of inverters throughout the station within the statistical time under the condition that the solar radiation intensity reaches the normal power generation of the photovoltaic power station. Downtime refers to the total number of normal downtime and fault downtime hours of inverters throughout the station within the statistical time under the condition that the solar radiation intensity reaches the normal power generation of the photovoltaic power station. Interruption time refers to the total number of hours of communication interruption, constant value data and data loss of inverters throughout the photovoltaic power station within the statistical time under the condition that the solar radiation intensity reaches the normal power generation of the photovoltaic power station.

[0045] Step S102, constructing an operating status indicator condition based on the evaluation index condition, wherein the operating status indicator condition includes a space performance ratio and a second operating status indicator, and the second operating status indicator includes at least one of an absolute deviation value, a relative deviation value, a correlation coefficient and a relative distance.

[0046] Among them, the conditions included in the operating status indicator conditions are not restricted, and can include not only the space performance ratio and the second operating status indicator, but also the fluctuation degree of the photovoltaic power station, the frequency of failure of photovoltaic equipment in the photovoltaic power station, etc.

[0047] Step S103: based on the operating status indicator condition, obtaining an operating status indicator set of the photovoltaic power station to be evaluated, wherein the operating status indicator set includes space performance ratio information and second operating status indicator information.

[0048] The information included in the operating status indicator set needs to correspond to the operating status indicator conditions.

[0049] There is no restriction on how to obtain the spatial performance ratio, and the spatial performance ratio can be obtained by calculating the ratio of the actual power generation of the photovoltaic power station to the theoretical maximum power generation.

[0050] The second operating status indicator information needs to match the second operating status indicator determined in the operating status indicator condition.

[0051] Step S104 , obtaining the index parameter information of the photovoltaic power station to be evaluated under various evaluation index conditions as an evaluation index set of the photovoltaic power station to be evaluated.

[0052] Among them, the indicator parameter information needs to match the indicator parameters determined in the evaluation indicator conditions and the sub-indicators contained in each indicator parameter.

[0053] Step S105: constructing an evaluation set of the photovoltaic power station to be evaluated based on the operating status indicator set and the evaluation indicator set.

[0054] There is no restriction on the construction method of the evaluation set of the photovoltaic power station to be evaluated. Two sets can be directly merged to form a new set, or information in the two sets can be extracted and put into the new set.

[0055] The photovoltaic power station evaluation method provided in this embodiment can make the comparison of different photovoltaic power stations more fair by establishing an evaluation index set, which includes at least one index parameter of equipment operation level index, solar energy resource index, power index, energy consumption index and equipment reliability index, and can evaluate the performance of the power station from different angles. By constructing an operation status index and obtaining operation status index information, the operation efficiency and status of the photovoltaic power station can be evaluated.

[0056] In this embodiment, a photovoltaic power station evaluation method is provided. Figure 2 is a flow chart of a photovoltaic power station evaluation method according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0057] Step S201, obtaining evaluation index conditions, wherein the evaluation index conditions include several index parameters, the index parameters represent evaluation dimensions for the photovoltaic power station, the evaluation dimensions include several sub-indicators, and the index parameters include at least one of equipment operation level index, solar energy resource index, power index, energy consumption index and equipment reliability index.

[0058] For details, please see Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0059] Step S202, based on the evaluation index condition, construct an operating status index condition, wherein the operating status index condition includes a space performance ratio and a second operating status index, and the second operating status index includes at least one of an absolute deviation value, a relative deviation value, a correlation coefficient and a relative distance.

[0060] For details, please see Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0061] Step S203: based on the operating status indicator condition, obtaining an operating status indicator set of the photovoltaic power station to be evaluated, wherein the operating status indicator set includes space performance ratio information and second operating status indicator information.

[0062] Specifically, the above step S203 includes:

[0063] Step S2031, obtaining space performance ratio information.

[0064] In some optional implementations, step S2031 includes:

[0065] Step a1, obtaining the historical power generation data and the actual power measurement value of the photovoltaic power station to be evaluated.

[0066] The acquisition method of historical power generation data is not restricted and can be obtained through the photovoltaic power station management platform. The actual power measurement value can be collected through measuring equipment such as power meters.

[0067] Step a2: determining a power prediction value of the photovoltaic power station to be evaluated based on historical power generation data.

[0068] Based on the historical power generation data, the relationship between the historical power generation data and the power can be obtained through a machine learning model, and then the power generation of the photovoltaic power station to be evaluated can be predicted. The machine learning model can be a neural network, a support vector machine, etc. In a practical application, the power prediction value of the photovoltaic power station to be evaluated is obtained through a spatial interpolation method, and the choice of the spatial interpolation method is not limited, and can be an inverse distance weighted method.

[0069] Step a3: determining the spatial performance ratio information of the photovoltaic power station to be evaluated based on the power prediction value and the power measured value, wherein the spatial performance ratio information is the ratio of the power measured value to the power prediction value.

[0070] In some optional implementations, after step S2031, the following steps are further included:

[0071] Step a4: Perform temperature correction on the space performance ratio information in the operation status indicator set.

[0072] The temperature correction method is not limited and may be a standard correction method, a correction method based on NOCT (Nominal Operating Cell Temperature) or a SunPower temperature correction method based on a Sandia temperature model.

[0073] Step S2032: Acquire second operating status indicator information corresponding to the second operating status indicator.

[0074] In some optional implementations, the second operating status indicator includes an absolute deviation value, and the above step S2032 includes:

[0075] Step b1, obtaining an electrical prediction value of the photovoltaic power station to be evaluated, wherein the electrical prediction value includes one of current, voltage and power output.

[0076] There is no restriction on how to obtain the electrical prediction value, which can be calculated based on meteorological data and the characteristics of each component in the photovoltaic power station.

[0077] In a practical application, the operation data of photovoltaic stations under different weather conditions can be obtained from relevant platforms or websites as sample data, where the operation data of photovoltaic stations include current, voltage and photovoltaic power. The sample data is expanded using the generative adversarial network model. The expanded sample data is analyzed to determine which meteorological factors will have a significant impact on photovoltaic power, and then a theoretical output model of the photovoltaic power station is constructed. Based on the theoretical output model, the electrical prediction value is obtained.

[0078] Step b2, obtaining the actual measured value corresponding to the electrical predicted value.

[0079] There is no restriction on the method of obtaining the actual measured values, and the corresponding electrical parameters can be obtained by installing an ammeter, a voltmeter and a power meter in the photovoltaic power station.

[0080] Step b3, based on the electrical prediction value and the actual measurement value, obtaining an absolute deviation value, wherein the absolute deviation value is the difference between the electrical prediction value and the actual measurement value.

[0081] In some optional implementations, the second operating status indicator includes a relative deviation value, and the above step S2032 includes:

[0082] Step c1, obtaining the electrical prediction value and actual measurement value of the photovoltaic power station to be evaluated.

[0083] There is no restriction on the acquisition method of electrical prediction value and actual measurement value. Electrical prediction value can be obtained by machine learning model or spatial interpolation method. Actual measurement value can be obtained by installing measurement equipment in photovoltaic power station.

[0084] Step c2, determining the absolute deviation value of the photovoltaic power station to be evaluated based on the electrical prediction value and the actual measurement value.

[0085] The absolute deviation value is the difference between the electrical prediction value and the actual measured value.

[0086] Step c3, determining the relative deviation value of the photovoltaic power station to be evaluated based on the absolute deviation value and the electrical prediction value.

[0087] Among them, the relative deviation value of the photovoltaic power station to be evaluated can be obtained by calculating the ratio of the absolute deviation value to the electrical prediction value.

[0088] In a practical application, the relative deviation value of the photovoltaic power station to be evaluated can be obtained by the following formula:

[0089]

[0090] Where ∈ represents the relative deviation, A represents the actual measured value, and T represents the electrical predicted value.

[0091] In some optional implementations, the second operating status indicator includes a correlation coefficient, and the above step S2032 includes:

[0092] Step d1, obtaining initial electrical measurement values ​​of the photovoltaic power station to be evaluated, and constructing an initial electrical time series.

[0093] The initial electrical measurement value may be obtained by installing a measuring device in the photovoltaic power plant. The parameters included in the electrical time series may include the electrical power of the photovoltaic power plant and the irradiance data of the photovoltaic power plant.

[0094] Step d2, determining the expected time scale.

[0095] The expected time scale is not limited and can be selected according to the actual application. In a practical application, the time resolution is 15 minutes and the time scale is 1 hour.

[0096] Step d3, obtaining a second electrical time series based on the expected time scale and the initial electrical measurement value.

[0097] There is no restriction on the method of obtaining the second electrical time series, and the second electrical time series can be obtained by an upscaling method.

[0098] In a practical application, the time scale of the initial electrical time series is 1 hour and the time resolution is 1 minute, and the time scale of the second electrical time series is 1 hour and the time resolution is 15 minutes. The average value of all 1-minute data points in the first 15-minute window can be calculated, and then the time window can be slid forward by one minute, and the average value in the next 15-minute window can be repeatedly calculated as the next data value of the second electrical time series until all data values ​​in the initial electrical time series are processed.

[0099] Step d4, obtaining the correlation coefficient between the initial electrical time series and the second electrical time series.

[0100] Among them, the choice of correlation coefficient is not restricted. In a practical application, the Pearson correlation coefficient is used, as shown in the following formula:

[0101]

[0102] Among them, r is the correlation coefficient between the initial electrical time series and the second electrical time series, n is the number of data contained in the initial electrical time series and the second electrical time series, X i is the i-th data of the initial electrical time series, Y i is the ith data of the second electrical time series, X is the average value of the initial time series, is the average value of the second electrical time series.

[0103] In some optional implementations, the second operating status indicator includes a relative distance, and the above step S2032 includes:

[0104] Step e1, obtaining initial electrical measurement values ​​of the photovoltaic power station to be evaluated, and constructing an initial electrical time series.

[0105] There is no restriction on the way of obtaining the initial electrical measurement values, and the initial electrical measurement values ​​can be obtained by installing measurement equipment in the photovoltaic power station.

[0106] Step e2, determine the expected time scale.

[0107] The expected time scale is not limited and can be selected according to the actual application. In a practical application, the time resolution is 15 minutes and the time scale is 1 hour.

[0108] Step e3, obtaining a second electrical time series based on the expected time scale and the initial electrical measurement value.

[0109] Among them, the second electrical time series can be obtained by an upscaling method.

[0110] Step e4, obtaining the relative distance between the initial electrical time series and the second electrical time series, wherein the relative distance is the relative Euclidean distance.

[0111] In a practical application, A is an initial electrical time series with a length of n, and B is a second electrical time series with a length of n. The relative Euclidean distance is calculated from the αth to the βth data in the two electrical time series. The relative Euclidean distance is as follows:

[0112]

[0113] in, is the initial electrical time series, is the second electrical time series, α is the αth data in the electrical time series, β is the βth data in the electrical time series, x A (x) is the data of the initial electrical time series, x B (x) is the data of the second electrical time series.

[0114] In an optional implementation, after obtaining the set of operating status indicators, the obtained information may be clustered and analyzed using a K-means algorithm, so as to intuitively display the operating status of the photovoltaic power station.

[0115] In a practical application, the operating status indicator set includes three subsets of current, voltage and power, and the three subsets all include absolute deviation value, relative deviation value, similarity coefficient and relative distance information, and the power subset also includes spatial performance ratio information. After obtaining the operating status indicator sets of several photovoltaic power stations to be evaluated, the initial data set of the K-means algorithm is constructed, wherein the initial data set includes the operating status indicator sets of several photovoltaic power stations to be evaluated, and then the operating status indicator sets of K photovoltaic power stations to be evaluated are selected as the initial clustering centers. Then the distances from all operating status indicator sets in the initial data set to each clustering center are calculated, and then they are assigned to the cluster represented by the nearest center point. For each cluster, the mean of all operating status indicator sets in the cluster is recalculated, and then this mean is used as the new center point, wherein the method of calculating the mean of the operating status indicator set is not restricted, and the data of each dimension can be directly standardized or normalized and then the average value can be directly calculated. Repeat the steps of allocating clusters and updating center points until the cluster center point does not change significantly or reaches the preset maximum number of iterations. Then output the clustering result.

[0116] Step S204 , obtaining the index parameter information of the photovoltaic power station to be evaluated under various evaluation index conditions as an evaluation index set of the photovoltaic power station to be evaluated.

[0117] For details, please see Figure 1Step S104 of the illustrated embodiment will not be described in detail here.

[0118] Step S205: constructing an evaluation set of the photovoltaic power station to be evaluated based on the operating status indicator set and the evaluation indicator set.

[0119] For details, please see Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0120] The photovoltaic power station evaluation method provided in this embodiment can evaluate the operating status of the photovoltaic power station from multiple dimensions.

[0121] In this embodiment, a photovoltaic power station evaluation device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0122] This embodiment provides a photovoltaic power station evaluation device, such as Figure 3 As shown, including:

[0123] The evaluation index condition acquisition module 301 is used to obtain the evaluation index conditions, wherein the evaluation index conditions include a number of index parameters, the index parameters represent the evaluation dimensions for the photovoltaic power station, the evaluation dimensions include a number of sub-indicators, and the index parameters include at least one of the equipment operation level index, solar energy resource index, power index, energy consumption index and equipment reliability index.

[0124] The operating status indicator condition construction module 302 is used to construct the operating status indicator condition based on the evaluation indicator condition, wherein the operating status indicator condition includes a space performance ratio and a second operating status indicator, and the second operating status indicator includes at least one of an absolute deviation value, a relative deviation value, a correlation coefficient and a relative distance.

[0125] The information acquisition module 303 is used to acquire an operation status indicator set of the photovoltaic power station to be evaluated based on the operation status indicator condition, wherein the operation status indicator set includes space performance ratio information and second operation status indicator information.

[0126] The evaluation index information acquisition module 304 is used to acquire the index parameter information of the photovoltaic power station to be evaluated under various evaluation index conditions as an evaluation index set of the photovoltaic power station to be evaluated.

[0127] The evaluation set construction module 305 is used to construct an evaluation set of the photovoltaic power station to be evaluated based on the operating status indicator set and the evaluation indicator set.

[0128] In some optional implementations, the information acquisition module 303 includes:

[0129] The space performance ratio acquisition unit is used to acquire the space performance ratio of the photovoltaic power station to be evaluated.

[0130] The second operation indicator information acquisition unit is used to acquire second operation status indicator information.

[0131] In some optional implementations, the space performance ratio acquisition unit includes:

[0132] The data acquisition subunit is used to obtain the historical power generation data and power measured values ​​of the photovoltaic power station to be evaluated.

[0133] The power prediction value determination subunit is used to determine the power prediction value of the photovoltaic power station to be evaluated based on the historical power generation data.

[0134] The spatial performance ratio determination subunit is used to determine the spatial performance ratio information of the photovoltaic power station to be evaluated based on the power prediction value and the power measured value, wherein the spatial performance ratio information is the ratio of the power measured value to the power prediction value.

[0135] In some optional implementations, the spatial performance ratio determination subunit further includes:

[0136] The correction subunit is used to perform temperature correction on the space performance ratio information in the operation status indicator set.

[0137] In some optional implementations, the second operation indicator information acquisition unit includes:

[0138] The absolute deviation value acquisition unit is used to acquire the absolute deviation value of the electrical parameter of the photovoltaic power station to be evaluated.

[0139] The relative deviation value acquisition unit is used to acquire the relative deviation value of the electrical parameter of the photovoltaic power station to be evaluated.

[0140] The correlation coefficient acquisition unit is used to obtain the correlation coefficient of the electrical parameters of the photovoltaic power station to be evaluated.

[0141] The relative distance acquisition unit is used to acquire the relative distance of the electrical parameters of the photovoltaic power station to be evaluated.

[0142] In some optional implementations, the absolute deviation value obtaining unit includes:

[0143] The electrical prediction value acquisition subunit is used to acquire the electrical prediction value of the photovoltaic power station to be evaluated, wherein the electrical prediction value includes one of current, voltage and power output.

[0144] The actual measurement value acquisition subunit is used to acquire the actual measurement value corresponding to the electrical prediction value.

[0145] The absolute deviation value acquisition subunit is used to acquire an absolute deviation value based on the electrical prediction value and the actual measurement value, wherein the absolute deviation value is the difference between the electrical prediction value and the actual measurement value.

[0146] In some optional implementations, the relative deviation value acquiring unit includes:

[0147] The information acquisition subunit is used to obtain the electrical prediction value and actual measurement value of the photovoltaic power station to be evaluated.

[0148] The absolute deviation determination subunit is used to determine the absolute deviation value of the photovoltaic power station to be evaluated based on the electrical prediction value and the actual measurement value.

[0149] The relative deviation determination subunit is used to determine the relative deviation value of the photovoltaic power station to be evaluated based on the absolute deviation value and the electrical prediction value.

[0150] In some optional implementations, the correlation coefficient acquisition unit includes:

[0151] The initial electrical sequence construction subunit is used to obtain the initial electrical measurement values ​​of the photovoltaic power station to be evaluated and to construct an initial electrical time series.

[0152] The time scale determination subunit is used to determine the expected time scale.

[0153] The second electrical time series building subunit is used to obtain a second electrical time series based on the expected time scale and the initial electrical measurement value.

[0154] The correlation coefficient acquisition subunit is used to acquire the correlation coefficient between the initial electrical time series and the second electrical time series.

[0155] In some optional implementations, the relative distance acquisition unit includes:

[0156] The initial sequence construction subunit is used to obtain the initial electrical measurement values ​​of the photovoltaic power station to be evaluated and to construct an initial electrical time series.

[0157] The expected time scale determination subunit is used to determine the expected time scale.

[0158] The second sequence constructing subunit is used to obtain a second electrical time series based on the expected time scale and the initial electrical measurement value.

[0159] The relative distance acquisition subunit is used to acquire the relative distance between the initial electrical time series and the second electrical time series, wherein the relative distance is a relative Euclidean distance.

[0160] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0161] The photovoltaic power station evaluation device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0162] The embodiment of the present invention also provides a computer device having the above Figure 3 The photovoltaic power station evaluation device shown.

[0163] See also Figure 4 , Figure 4 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 4 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 4 A processor 10 is taken as an example.

[0164] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0165] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0166] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0167] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0168] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 4 The example of connecting through bus is taken in the following.

[0169] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0170] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0171] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0172] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A photovoltaic power station evaluation method, characterized in that: The method comprises: Acquire evaluation index conditions, wherein the evaluation index conditions include several index parameters, the index parameters represent evaluation dimensions for a photovoltaic power station, the evaluation dimensions include several sub-indicators, and the index parameters include at least one of an equipment operation level index, a solar energy resource index, a power index, an energy consumption index, and an equipment reliability index; Based on the evaluation index condition, construct an operation status index condition, wherein the operation status index condition includes a space performance ratio and a second operation status index, and the second operation status index includes at least one of an absolute deviation value, a relative deviation value, a correlation coefficient and a relative distance; Based on the operating status indicator condition, obtaining an operating status indicator set of the photovoltaic power station to be evaluated, wherein the operating status indicator set includes space performance ratio information and second operating status indicator information; Obtaining the index parameter information of the photovoltaic power station to be evaluated under various evaluation index conditions as an evaluation index set of the photovoltaic power station to be evaluated; Based on the operating status indicator set and the evaluation indicator set, an evaluation set of the photovoltaic power station to be evaluated is constructed.

2. The method according to claim 1, characterized in that The acquisition of the space performance ratio information includes: Obtain the historical power generation data and actual power values ​​of the photovoltaic power station to be evaluated; Determining a power prediction value of the photovoltaic power station to be evaluated based on the historical power generation data; Based on the power prediction value and the power measured value, spatial performance ratio information of the photovoltaic power station to be evaluated is determined, wherein the spatial performance ratio information is a ratio of the power measured value to the power prediction value.

3. The method according to claim 1, characterized in that The step of obtaining the operating status indicator set of the photovoltaic power station to be evaluated further includes: Temperature correction is performed on the space performance ratio information in the operating status indicator set.

4. The method according to claim 1, characterized in that In the case where the second operating status indicator includes an absolute deviation value, the acquiring the operating status indicator set of the photovoltaic power station to be evaluated based on the operating status indicator condition includes: Acquire an electrical prediction value of the photovoltaic power station to be evaluated, wherein the electrical prediction value includes one of current, voltage and power output; obtaining an actual measurement value corresponding to the electrical prediction value; Based on the electrical prediction value and the actual measurement value, an absolute deviation value is obtained, wherein the absolute deviation value is a difference between the electrical prediction value and the actual measurement value.

5. The method according to claim 1, characterized in that In the case where the second operating status indicator includes a relative deviation value, the acquiring the operating status indicator set of the photovoltaic power station to be evaluated based on the operating status indicator condition includes: Obtaining electrical prediction values ​​and actual measurement values ​​of the photovoltaic power station to be evaluated; Determining an absolute deviation value of the photovoltaic power station to be evaluated based on the electrical prediction value and the actual measurement value; Based on the absolute deviation value and the electrical prediction value, a relative deviation value of the photovoltaic power station to be evaluated is determined.

6. The method according to claim 1, characterized in that In the case where the second operating status indicator includes a correlation coefficient, acquiring the operating status indicator set of the photovoltaic power station to be evaluated based on the operating status indicator condition includes: Acquiring initial electrical measurement values ​​of the photovoltaic power station to be evaluated and constructing an initial electrical time series; Determine the expected time scale; acquiring a second electrical time series based on the expected time scale and the initial electrical measurements; A correlation coefficient between the initial electrical time series and the second electrical time series is obtained.

7. The method according to claim 1, characterized in that In the case where the second operating status indicator includes a relative distance, the acquiring the operating status indicator set of the photovoltaic power station to be evaluated based on the operating status indicator condition includes: Acquiring initial electrical measurement values ​​of the photovoltaic power station to be evaluated and constructing an initial electrical time series; Determine the expected time scale; acquiring a second electrical time series based on the expected time scale and the initial electrical measurements; A relative distance between the initial electrical time series and the second electrical time series is obtained, wherein the relative distance is a relative Euclidean distance.

8. A photovoltaic power station evaluation device, characterized in that: The device comprises: An evaluation index condition acquisition module, used to acquire evaluation index conditions, wherein the evaluation index conditions include several index parameters, the index parameters represent evaluation dimensions for a photovoltaic power station, the evaluation dimensions include several sub-indicators, and the index parameters include at least one of an equipment operation level index, a solar energy resource index, a power index, an energy consumption index, and an equipment reliability index; An operating state indicator condition construction module, used to construct an operating state indicator condition based on the evaluation indicator condition, wherein the operating state indicator condition includes a space performance ratio and a second operating state indicator, and the second operating state indicator includes at least one of an absolute deviation value, a relative deviation value, a correlation coefficient and a relative distance; An operation status information acquisition module, used to acquire an operation status indicator set of the photovoltaic power station to be evaluated based on the operation status indicator condition, wherein the operation status indicator set includes space performance ratio information and second operation status indicator information; An evaluation index information acquisition module, used to acquire the index parameter information of the photovoltaic power station to be evaluated under various evaluation index conditions as an evaluation index set of the photovoltaic power station to be evaluated; The evaluation set construction module is used to construct an evaluation set of the photovoltaic power station to be evaluated based on the operating status indicator set and the evaluation indicator set.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes a photovoltaic power station evaluation method according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute a photovoltaic power station evaluation method according to any one of claims 1 to 7.

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