Photovoltaic power station health degree assessment method, device, equipment and medium

Abstract

The invention discloses a photovoltaic power station health degree assessment method, which comprises the following steps: acquiring historical power generation data to determine a power generation reference coefficient, acquiring current power generation data and current fault data, and calculating an actual power generation completion rate and an ideal power generation completion rate of a current to-be-assessed power station in combination with the power generation reference coefficient. According to the first scoring interval and the second scoring interval corresponding to the two types of completion rates, determining a corresponding scoring rule, obtaining a first power generation score and a second power generation score, generating a fault score based on the current fault data, and finally fusing the three types of scores to obtain a health degree evaluation result, thereby achieving the multi-dimensional comprehensive evaluation of the health degree of the photovoltaic power station. The method fully adapts to the evaluation scene of the photovoltaic power station cluster, effectively avoids the limitation of single-dimension evaluation, provides more detailed technical support for the operation and maintenance decision of the power station, and improves the efficiency of finding power generation shortages and fault hidden troubles.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic power plant health assessment, and more particularly to a method, apparatus, equipment, and medium for assessing the health of photovoltaic power plants. Background Technology

[0002] As the global energy structure accelerates its transformation towards cleaner and lower-carbon energy, photovoltaic power generation, as an important component of renewable energy, has seen its installed capacity grow rapidly and is widely used in various scenarios. Against the backdrop of the rapid development of distributed energy systems, distributed small-scale photovoltaic systems, with their advantages of flexible deployment, short construction cycles, and low investment thresholds, have become a vital force in improving regional energy self-sufficiency and building distributed energy networks.

[0003] However, since residential photovoltaic (PV) power stations are generally built on the rooftops of farmhouses, troubleshooting equipment malfunctions is challenging. Furthermore, residential PV power stations are numerous and widely distributed, requiring a large number of maintenance personnel and resulting in a heavy workload for manual data verification. Additionally, there is a lack of effective comprehensive evaluation indicators for individual power stations. Therefore, a method is needed to comprehensively and quickly assess the health of PV power stations. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and medium for assessing the health of a photovoltaic power plant, in order to solve the problem that the assessment methods in related technologies are too singular and difficult to comprehensively assess the actual health status of the power plant.

[0005] Firstly, this disclosure provides a method for assessing the health of a photovoltaic power plant, including: Identify the current reference power station from the photovoltaic power station cluster, as well as the other power stations to be evaluated. The historical power generation data of the photovoltaic power station cluster during the historical evaluation period is obtained, and the power generation reference coefficient of the photovoltaic power station cluster is determined based on the historical power generation data. The current reference coefficient is used to indicate the comparison between the ideal power generation duration of the historically evaluated power station and the actual power generation duration of the historical reference power station. The historically evaluated power station and the historical reference power station belong to the photovoltaic power station cluster. Obtain the current power generation data and current fault data of the photovoltaic power station cluster in the current assessment period, and determine the actual power generation completion rate and ideal power generation completion rate of the power station to be assessed based on the current power generation data, current fault data and power generation reference coefficient; Based on the first scoring interval corresponding to the actual power generation completion rate and the second scoring interval corresponding to the ideal power generation completion rate, the scoring rules corresponding to the first scoring interval and the second scoring interval are determined, and based on the scoring rules, the first power generation score of the actual power generation completion rate and the second power generation score corresponding to the ideal power generation completion rate are determined. Based on the current fault data, determine the fault score of the power station to be evaluated. The first power generation score, the second power generation score, and the fault score are integrated to determine the current health assessment result of the power plant to be evaluated.

[0006] In one embodiment, historical power generation data includes: a first historical actual power generation duration of the historically evaluated power station, a historical fault power generation duration of the historically evaluated power station, and a second historical actual power generation duration of a historical reference power station. The historically evaluated power station and the historical reference power station belong to a photovoltaic power station cluster. Based on the historical power generation data, a power generation reference coefficient for the photovoltaic power station cluster is determined, including: The sum of the first historical actual power generation duration and the historical fault power generation duration is determined as the first historical ideal power generation duration of the evaluated power station. The ratio between the historical ideal power generation duration and the second historical actual power generation duration is determined as the power generation reference coefficient.

[0007] In one embodiment, the current power generation data includes: a first current actual power generation duration of the power plant to be evaluated and a second current actual power generation duration of the current reference power plant; the current fault data includes the current fault power generation duration of the power plant to be evaluated; based on the current power generation data, the current fault data, and the power generation reference coefficient, the actual power generation completion rate and the ideal power generation completion rate of the power plant to be evaluated are determined, including: Multiply the current actual power generation duration by the power generation reference coefficient to determine the current target power generation duration of the power station to be evaluated; The ratio between the current actual power generation duration and the current target power generation duration is determined as the current actual power generation completion rate of the power station to be evaluated. Sum the current actual power generation duration and the current fault power generation duration to determine the ideal power generation duration of the power station to be evaluated. The ratio between the current ideal power generation duration and the current target power generation duration is determined as the ideal power generation completion rate of the power station to be evaluated.

[0008] In one embodiment, determining the fault score of the power plant to be evaluated based on current fault data includes: Based on the current fault data, determine the duration and frequency of the faults at the power plant to be evaluated. Based on the duration of the fault, determine the fault duration score of the power station to be evaluated, and based on the fault frequency, determine the fault frequency score of the power station to be evaluated. The fault score is determined by combining the fault duration score and the fault frequency score.

[0009] In one embodiment, the first power generation score, the second power generation score, and the fault score are fused to determine the current health assessment result of the power plant to be evaluated, including: Based on the second power generation score, the difference between the first power generation score and the second power generation score is calculated, and the result of the difference calculation is determined as the power generation improvement score of the power station to be evaluated. The power generation improvement score and the fault score are weighted and fused, and the result of the weighted fusion is determined as the current revenue improvement score of the power plant to be evaluated. Based on the power generation improvement score and revenue improvement score, the health assessment result of the power plant to be evaluated is determined.

[0010] In one embodiment, the health assessment result of the power plant to be evaluated is determined based on the power generation improvement score and the revenue improvement score, including: When the revenue improvement score is less than or equal to the first preset score threshold and the power generation improvement score is less than or equal to the second preset score threshold, the first power generation score is determined as the current health score of the power plant to be evaluated. When the revenue improvement score is greater than the first preset score threshold and the power generation improvement score is less than or equal to the second preset score threshold, the first product of the revenue improvement score and the first preset weight is determined, and the difference between the first preset health score and the first product is determined as the current health score of the power plant to be evaluated. When the revenue improvement score is greater than the first preset score threshold and the power generation improvement score is greater than the second preset score threshold, the second product of the revenue improvement score and the second preset weight is determined, and the sum of the second preset health score and the second product is determined as the current health score of the power plant to be evaluated. When the revenue improvement score is less than or equal to the first preset score threshold and the power generation improvement score is greater than the second preset score threshold, the product of the first power generation score and the third preset weight is determined as the health score of the power plant to be evaluated. Based on the health score, generate the health assessment result for the power station to be evaluated.

[0011] In one embodiment, based on the health score, a health assessment result is generated for the current power station to be assessed, including: Based on the health score, determine the current health rating of the power station to be evaluated; Based on the health rating, and at least one of the first power generation score, the second power generation score, and the fault score, determine the health warning information of the power plant to be evaluated. Based on health ratings and health warning information, a health assessment result is generated.

[0012] Secondly, this disclosure provides a photovoltaic power plant health assessment device, comprising: The power plant classification module is used to identify the current reference power plant and other power plants to be evaluated from the photovoltaic power plant cluster. The reference coefficient determination module is used to obtain historical power generation data of the photovoltaic power station cluster in the historical evaluation period, and determine the power generation reference coefficient of the photovoltaic power station cluster based on the historical power generation data. The current reference coefficient is used to indicate the comparison between the ideal power generation duration of the historically evaluated power station and the actual power generation duration of the historical reference power station. The historically evaluated power station and the historical reference power station belong to the photovoltaic power station cluster. The completion rate determination module is used to obtain the current power generation data and current fault data of the photovoltaic power station cluster in the current evaluation period, and determine the actual power generation completion rate and ideal power generation completion rate of the power station to be evaluated based on the current power generation data, current fault data and power generation reference coefficient. The power generation score determination module is used to determine the scoring rules corresponding to the first scoring interval and the second scoring interval based on the first scoring interval corresponding to the actual power generation completion rate and the second scoring interval corresponding to the ideal power generation completion rate, and to determine the first power generation score corresponding to the actual power generation completion rate and the second power generation score corresponding to the ideal power generation completion rate based on the scoring rules. The fault rating determination module is used to determine the fault rating of the power plant to be evaluated based on the current fault data. The results generation module is used to integrate the first power generation score, the second power generation score, and the fault score to determine the current health assessment result of the power plant to be evaluated.

[0013] Thirdly, this disclosure provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the aforementioned photovoltaic power plant health assessment method. Fourthly, this disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned photovoltaic power plant health assessment method.

[0014] The aforementioned photovoltaic power plant health assessment method, device, equipment, and medium achieve the following: First, the current reference power plant and other power plants to be assessed within the photovoltaic power plant cluster are identified. Second, historical power generation data of the photovoltaic power plant cluster during the historical assessment period is obtained. Based on this historical data, a power generation reference coefficient for the photovoltaic power plant cluster is determined. This reference coefficient indicates the comparison between the ideal power generation duration of the historically assessed power plant and the actual power generation duration of the historical reference power plant. Both the historically assessed power plant and the historical reference power plant belong to the photovoltaic power plant cluster. Third, current power generation data and current fault data of the photovoltaic power plant cluster during the current assessment period are obtained. Based on this data and the reference coefficient, the actual power generation completion rate and ideal power generation completion rate of the power plant to be assessed are determined. Fourth, scoring rules corresponding to the first and second scoring intervals are determined based on the first and second scoring intervals corresponding to the actual power generation completion rate and the ideal power generation completion rate. Based on these scoring rules, a first power generation score and a second power generation score corresponding to the ideal power generation completion rate are determined. Fifth, a fault score for the power plant to be assessed is determined based on the current fault data. Finally, the first power generation score, the second power generation score, and the fault score are integrated to determine the health assessment result of the power plant to be assessed. This method uses historical power generation data to determine personalized power generation reference coefficients, avoiding assessment biases caused by fixed standards under different geographical and climatic conditions, and improving the accuracy and applicability of health assessment results. At the same time, by determining the scores of actual power generation completion rate and ideal power generation completion rate, and combining them with fault scores for multi-dimensional integration, the health assessment results are determined, thus comprehensively reflecting the operating status of the power station, providing accurate basis for operation and maintenance decisions, and further improving the intelligent management level and overall power generation efficiency of photovoltaic power station clusters. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of a photovoltaic power plant health assessment method according to an embodiment of the present invention; Figure 2 This is another flowchart of a photovoltaic power plant health assessment method in one embodiment of the present invention; Figure 3 This is another flowchart of a photovoltaic power plant health assessment method in one embodiment of the present invention; Figure 4 This is another flowchart of a photovoltaic power plant health assessment method in one embodiment of the present invention; Figure 5 This is another flowchart of a photovoltaic power plant health assessment method in one embodiment of the present invention; Figure 6 This is a schematic diagram of a photovoltaic power station health assessment device according to an embodiment of the present invention; Figure 7 This is a schematic block diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0017] In one embodiment, such as Figure 1 As shown, a method for assessing the health of a photovoltaic power plant is provided, including the following steps: Step S101: Identify the current reference power station and the current power stations to be evaluated other than the current reference power station from the photovoltaic power station cluster; Step S102: Obtain historical power generation data of the photovoltaic power station cluster during the historical evaluation period, and determine the power generation reference coefficient of the photovoltaic power station cluster based on the historical power generation data. Step S103: Obtain the current power generation data and current fault data of the photovoltaic power station cluster in the current evaluation period, and determine the actual power generation completion rate and ideal power generation completion rate of the power station to be evaluated based on the current power generation data, current fault data and power generation reference coefficient. Step S104: Based on the first scoring interval corresponding to the actual power generation completion rate and the second scoring interval corresponding to the ideal power generation completion rate, determine the scoring rules corresponding to the first scoring interval and the second scoring interval, and based on the scoring rules, determine the first power generation score of the actual power generation completion rate and the second power generation score corresponding to the ideal power generation completion rate. Step S105: Based on the current fault data, determine the fault score of the power station to be evaluated. Step S106: The first power generation score, the second power generation score, and the fault score are fused to determine the current health assessment result of the power station to be evaluated.

[0018] As an example, in step S101, the current reference power station can be selected according to preset rules. For example, based on the power generation status of each power station in the entire photovoltaic power station cluster during the current evaluation period, the power station with the highest power generation and stable operation is selected as the current reference power station to ensure that its power generation performance is representative and reliable. The remaining power stations in the photovoltaic power station cluster are used as the current power stations to be evaluated for subsequent health analysis and evaluation.

[0019] For example, based on the stable operating time of each power station in the entire photovoltaic power station cluster within the current evaluation period, any power station that has been continuously and stably operating for more than a threshold can be selected as the current reference power station. This eliminates interference from data fluctuations caused by frequent start-ups and shutdowns or operational anomalies, and the remaining power stations can be used as the current power stations to be evaluated. It should be understood that the method of selecting the current reference power station can be flexibly adjusted according to the actual application scenario, as long as it meets the conditions of stable operation and representative power generation performance. The above method is only an example, and this disclosure does not limit the specific method of determining the current reference power station and the current power station to be evaluated.

[0020] As an example, in step S102, historical power generation data refers to the power generation records of each power station in the photovoltaic power station cluster within the historical assessment period. This data may include the first historical actual power generation duration, the historical lost power generation duration, and the second historical actual power generation duration of the historical reference power station. Furthermore, by comparing the first historical ideal power generation duration with the second historical actual power generation duration of the historically assessed power station, a power generation reference coefficient is calculated. This coefficient reflects the power generation efficiency level of the assessed power station relative to the reference power station under historical conditions, providing a benchmark for performance comparison in the current assessment period. The introduction of this power generation reference coefficient effectively eliminates assessment biases caused by differences in geographical distribution, component aging, and operation and maintenance levels among different power stations, enabling personalized assessments of the health of each power station in the photovoltaic power station cluster.

[0021] In different historical evaluation periods, the historical reference power plants selected may be the same or different, and this disclosure does not limit this. For example, when there are multiple historical evaluation periods, each historical evaluation period can independently select a reference power plant that meets the conditions. That is, the historical reference power plants selected in each historical evaluation period may be different, thereby dynamically reflecting the relative performance of each power plant in different periods.

[0022] Optionally, within a historical assessment period, there may be one or more historical reference power plants. For example, when a historical assessment period is three months, it can be divided into monthly sub-periods, and a historical reference power plant can be selected independently each month. The sum of the power generation duration of the three historical reference power plants selected within these three months is determined as the actual power generation duration of the historical reference power plant. Alternatively, only one power plant can be selected as a historical reference power plant, and the actual power generation duration of that historical reference power plant within the historical assessment period can be taken as the actual power generation duration of the historical reference power plant. This disclosure does not limit the number of historical reference power plants selected within a historical assessment period.

[0023] When there are multiple historical assessment periods, historical power generation data corresponding to one or more historical assessment periods adjacent to the current assessment period can be selected to determine the power generation reference coefficient, thereby enhancing the timeliness and continuity of the assessment results.

[0024] For example, when a historical assessment period is short, historical power generation data from multiple consecutive historical assessment periods can be overlaid for analysis to determine the corresponding power generation reference coefficient. This increases the data sample size and statistical reliability, avoids assessment bias caused by fluctuations in data from a single period, and ensures that the power generation reference coefficient more stably reflects the relative performance differences between power plants. Conversely, when a historical assessment period is long, only historical power generation data from a single historical assessment period can be selected to calculate the power generation reference coefficient. This avoids significant differences in environmental conditions due to a large time span, which could affect the accuracy of the assessment.

[0025] As an example, in step S103, the current power generation data refers to the power generation records of each power station within the current evaluation period, which may include the first current actual power generation duration of the power station to be evaluated and the second current actual power generation duration of the current reference power station; the current fault data refers to the fault status of each power station recorded within the current evaluation period (such as fault start time, fault duration, etc.). It should be understood that the fault data refers to the fault data corresponding to the offline situation.

[0026] In this embodiment, the current target power generation duration of the power station to be evaluated can be determined based on the current power generation data and power generation reference coefficient of the photovoltaic power station cluster in the current evaluation period. The ideal power generation duration of the power station to be evaluated can be determined based on the current power generation data and current fault data. Then, the ideal power generation completion rate and the actual power generation completion rate can be calculated.

[0027] Among them, the current target power generation duration is the benchmark power generation duration that the power plant to be evaluated should achieve in the current evaluation period, derived from the power generation reference coefficient; while the ideal power generation duration is the power generation duration that the power plant to be evaluated should generate under fault-free conditions.

[0028] The actual power generation completion rate refers to the ratio of the actual power generation duration of the power plant under evaluation to the current target power generation duration in the current evaluation period, reflecting the degree of matching between the actual operating efficiency of the power plant and the expected target; the ideal power generation completion rate refers to the ratio of the power generation duration that the power plant under evaluation should generate under fault-free conditions to the current target power generation duration, reflecting the ability of the power plant equipment to achieve the target power generation task under ideal operating conditions.

[0029] Optionally, within the current evaluation period, there may be one or more current reference power plants. Since the selection principle of the current reference power plant is the same as that of the historical reference power plant, please refer to the relevant description of the historical reference power plant in step S102 for details, which will not be repeated here.

[0030] As an example, in step S104, a corresponding scoring interval can be preset, with different actual power generation completion rates and ideal power generation completion rates corresponding to different values ​​in different scoring intervals. Each scoring interval can correspond to the same or different scoring rules. Thus, when obtaining the actual power generation score and the ideal power generation score, the first power generation score and the second power generation score are determined according to the scoring rules corresponding to the corresponding scoring interval. The first scoring interval is the scoring interval to which the actual power generation completion rate belongs, and the second scoring interval is the scoring interval to which the ideal power generation completion rate belongs.

[0031] For example, the scoring range corresponding to the actual power generation completion rate can be set as two scores: [0, 90%) and [90%, +∞). The scoring rule for [0, 90%) is a maximum score of 80 points, with 4 points deducted for every 4.5% decrease compared to 90%. The scoring rule for [90%, 100%) is a starting score of 80 points, with 0.5 points added for every 1% increase, up to a maximum of 100 points.

[0032] For example, the scoring range corresponding to the ideal power generation completion rate can be set to four intervals: [0, 100%], (100%, 120%], (120%, 150%], and (150%, +∞). The scoring rule for [0, 100%] is a maximum of 70 points, with 3.5 points deducted for every 5% decrease compared to 100%; (100%, 120%] corresponds to a maximum of 90 points, with 1 point deducted for every 1% decrease compared to 120%; (120%, 150%] corresponds to a maximum of 95 points, with 0.8 points deducted for every 5% decrease compared to 150%; and (150%, +∞) corresponds to... The maximum score is 100 points, with 0.5 points added for every 5% increase, up to a maximum of 100 points. Using the above scoring rules, the scores of the power station under evaluation can be calculated under actual operation and ideal conditions, thus obtaining the first power generation score and the second power generation score, providing a quantitative basis for subsequent health assessments. It should be understood that the above scoring interval division and corresponding rules are merely illustrative examples. In practical applications, they can be dynamically adjusted according to factors such as the scale, geographical distribution, and equipment type of the photovoltaic power station cluster to ensure the scientific validity and adaptability of the scoring system. This disclosure does not limit the specific scoring interval division and scoring rules.

[0033] As an example, in step S105, parameters such as the fault duration and fault frequency of the power station to be evaluated can be determined based on the current fault data. Then, based on the obtained parameters, the fault situation of the power station to be evaluated can be quantitatively evaluated, and the corresponding fault score can be determined.

[0034] Furthermore, based on the current fault data, the duration and frequency of the fault in the power plant to be evaluated can be determined; based on the duration of the fault, the fault duration score of the power plant to be evaluated can be determined, and based on the fault frequency, the fault frequency score of the power plant to be evaluated can be determined; the fault duration score and the fault frequency score can be fused to determine the fault score.

[0035] As an example, in step S106, the first power generation score, the second power generation score, and the fault score can be weighted and fused to obtain the current health score of the power station to be evaluated. Then, based on the health score, combined with at least one of the first power generation score, the second power generation score, and the fault score, a health assessment report of the current power station to be evaluated is generated. The health assessment report may include the value of the health score, a detailed breakdown of the score composition, warnings of abnormal items, and optimization suggestions, etc. This disclosure does not limit the scope of the report.

[0036] In summary, this disclosure proposes a method for assessing the health of a photovoltaic power plant, comprising: identifying a current reference power plant and other power plants to be assessed from a photovoltaic power plant cluster; acquiring historical power generation data of the photovoltaic power plant cluster during a historical assessment period, and determining a power generation reference coefficient for the photovoltaic power plant cluster based on the historical power generation data, wherein the current reference coefficient is used to indicate the comparison between the ideal power generation duration of the historically assessed power plant and the actual power generation duration of the historical reference power plant, wherein the historically assessed power plant and the historically reference power plant belong to the photovoltaic power plant cluster; acquiring current power generation data and current fault data of the photovoltaic power plant cluster during the current assessment period, and determining the actual power generation completion rate and ideal power generation completion rate of the power plant to be assessed based on the current power generation data, current fault data, and power generation reference coefficient; determining the scoring rules corresponding to the first and second scoring intervals based on the first scoring interval corresponding to the actual power generation completion rate and the second scoring interval corresponding to the ideal power generation completion rate, and determining the first power generation score and the second power generation score corresponding to the ideal power generation completion rate based on the scoring rules; determining the fault score of the power plant to be assessed based on the current fault data; and fusing the first power generation score, the second power generation score, and the fault score to determine the health assessment result of the power plant to be assessed. This method uses historical power generation data to determine personalized power generation reference coefficients, avoiding assessment biases caused by fixed standards under different geographical and climatic conditions, and improving the accuracy and applicability of health assessment results. At the same time, by determining the scores of actual power generation completion rate and ideal power generation completion rate, and combining them with fault scores for multi-dimensional integration, the health assessment results are determined, thus comprehensively reflecting the operating status of the power station, providing accurate basis for operation and maintenance decisions, and further improving the intelligent management level and overall power generation efficiency of photovoltaic power station clusters.

[0037] In one embodiment, such as Figure 2As shown, step S102, based on historical power generation data, determines the power generation reference coefficient of the photovoltaic power station cluster, including: Step S201: The sum of the first historical actual power generation duration and the historical fault power generation duration is determined as the first historical ideal power generation duration of the historical power station being evaluated. Step S202: The ratio between the historical ideal power generation duration and the second historical actual power generation duration is determined as the power generation reference coefficient.

[0038] The historical power generation data includes: the first historical actual power generation duration of the evaluated power station, the historical fault power generation duration of the evaluated power station, and the second historical actual power generation duration of the historical reference power station. The evaluated power station and the historical reference power station belong to a photovoltaic power station cluster. It should be understood that the historical reference power station and the current reference power station may be the same or different, and this disclosure does not limit this.

[0039] As an example, in step S201, the first historical actual power generation duration and the historical fault power generation duration can be added together to obtain the theoretical maximum power generation duration of the evaluated power station under fault-free conditions, i.e., the first historical ideal power generation duration. The historical fault power generation duration refers to the total time during which power generation was not possible due to faults within the historical evaluation period. This duration does not include the offline time of the evaluated power station, but only includes the power generation time affected by known fault work orders.

[0040] Optionally, if there are fault work orders that span multiple cycles, only the fault duration of that work order within the historical evaluation cycle will be counted to ensure statistical accuracy.

[0041] As an example, in step S202, a power generation reference coefficient reflecting the relative power generation potential of the evaluated power station is obtained by calculating the ratio of the first historical ideal power generation duration to the second historical actual power generation duration of the historical reference power station. This coefficient comprehensively considers the historical operating performance of the evaluated power station itself and the actual power generation capacity of the reference power stations in the same cluster, effectively eliminating interference caused by factors such as regional differences in sunlight and seasonal changes, and ensuring the rationality of the evaluation benchmark.

[0042] In one embodiment, the power generation reference factor can be calculated using the following formula: Where k is the power generation reference coefficient, A is the first historical actual power generation duration of the historical power station being evaluated, B is the historical fault power generation duration of the historical power station being evaluated, and C is the second historical actual power generation duration of the historical reference power station.

[0043] Optionally, before determining the power generation reference coefficient, data cleaning and outlier filtering can be performed on the relevant data to ensure the accuracy and consistency of the input data. For example, if there are obvious anomalies or missing data corresponding to the historical power plants being evaluated, the data for that period can be removed, along with the contemporaneous data of the corresponding historical reference power plants, to ensure that the data segments used in the calculation are complete and comparable. However, this is not limited to this; missing data can also be completed using sliding window interpolation, or outliers can be identified and processed using box plots to further improve data quality. This disclosure does not limit the methods for data cleaning and outlier filtering.

[0044] In one embodiment, such as Figure 3 As shown, step S103, based on current power generation data, current fault data, and power generation reference coefficients, determines the actual power generation completion rate and ideal power generation completion rate of the power station to be evaluated, including: Step S301: Multiply the second current actual power generation duration and the power generation reference coefficient to determine the current target power generation duration of the power station to be evaluated; Step S302: The ratio between the first current actual power generation duration and the current target power generation duration is determined as the current actual power generation completion rate of the power station to be evaluated. Step S303: Sum the first current actual power generation duration and the current fault power generation duration to determine the ideal power generation duration of the power station to be evaluated. Step S304: The ratio between the current ideal power generation duration and the current target power generation duration is determined as the current ideal power generation completion rate of the power station to be evaluated.

[0045] As an example, in step S301, the current target power generation duration of the power plant to be evaluated can be obtained by multiplying the second current actual power generation duration by a power generation reference coefficient. This target power generation duration reflects the expected power generation capacity mapped under the actual operating level and historical power generation potential of the reference power plant. This process ensures the comparability of power plant evaluations under different geographical locations, climatic conditions, and equipment performance differences, avoiding the problem of evaluation results deviating from actual operating levels due to the use of a fixed current target power generation duration, and further improving the accuracy and fairness of health assessment.

[0046] As an example, in step S302, the actual power generation completion rate of the power station to be evaluated is calculated by comparing the first current actual power generation duration with the current target power generation duration, which intuitively reflects the current operating efficiency of the power station to be evaluated relative to the ideal expected level.

[0047] For example, the actual power generation completion rate can be calculated using the following formula: Where N1 represents the actual power generation completion rate, D is the first current actual power generation duration, E is the second current actual power generation duration, and k is the power generation reference coefficient.

[0048] As an example, in step S303, the first current actual power generation duration and the current fault power generation duration can be summed to obtain the ideal power generation duration of the power station to be evaluated. This duration represents the maximum power generation capacity that the power station can achieve under the influence of a faultless shutdown.

[0049] As an example, in step S304, the ratio of the current ideal power generation duration to the current target power generation duration can be calculated as the ideal power generation completion rate, which is used to measure the degree of matching between the power plant's potential power generation capacity and the expected target, so as to assess its efficiency level under ideal operating conditions.

[0050] For example, the ideal power generation completion rate can be calculated using the following formula: Where N2 represents the ideal power generation completion rate, D is the first current actual power generation duration, F is the current fault power generation duration, E is the second current actual power generation duration, and k is the power generation reference coefficient. This represents the current target power generation duration.

[0051] In one embodiment, such as Figure 4 As shown, step S105 determines the fault score of the power station to be evaluated based on the current fault data, including: Step S401: Based on the current fault data, determine the fault duration and fault frequency of the power station to be evaluated. Step S402: Based on the duration of the fault, determine the fault duration score of the current power station to be evaluated, and based on the fault frequency, determine the fault frequency score of the current power station to be evaluated. Step S403: Combine the fault duration score and the fault frequency score to determine the fault score.

[0052] As an example, in step S401, the duration of the fault and the frequency of the fault occurrence of the power station to be evaluated are obtained by statistical analysis of the current fault data.

[0053] As an example, in step S402, the fault duration can be used to determine the scoring range corresponding to the fault duration, and then the corresponding fault duration score can be determined based on the scoring range.

[0054] For example, the scoring range corresponding to the duration of the fault can be divided into six levels: fault-free duration, (0,2], (2,7], (7,15], (15,M), [M,+∞), where M represents the number of days in the current assessment period. When the duration of the fault is the fault-free duration, the corresponding score is 100; when it falls into the (0,2] range, the corresponding score is 80; when it falls into the (2,7] range, the corresponding score is 60; when it falls into the (7,15] range, the score is 40; when it is in the (15,M) range, the score is 10; if the value of M is reached or exceeded, that is, the fault lasts for the entire period, the score is directly 0.

[0055] At the same time, the scoring range corresponding to the fault frequency can be determined based on the statistical results of the fault frequency, and the fault frequency score can be determined accordingly.

[0056] For example, the scoring range corresponding to the failure frequency can be divided into four levels: 0 times, 1 time, 2 times, and greater than or equal to 3 times; when the failure frequency is 0, the corresponding score is 100; when the failure frequency is 1, the corresponding score is 70; when the failure frequency is 2, the corresponding score is 40; and when the failure frequency is greater than or equal to 3, the corresponding score is 0.

[0057] As an example, in step S403, the fault duration score and the fault frequency score are weighted and fused to obtain the final fault score. The weights can be set according to the operating characteristics of the power plant, such as a 60% weighting for the duration score and a 40% weighting for the frequency score, but are not limited to this. Through this scoring system, the impact of power plant faults on power generation efficiency can be accurately quantified, providing data support for subsequent operation and maintenance decisions.

[0058] In one embodiment, such as Figure 5 As shown, step S106 involves fusing the first power generation score, the second power generation score, and the fault score to determine the current health assessment result of the power plant to be evaluated, including: Step S501: Based on the second power generation score, calculate the difference between the first power generation score and determine the result of the difference calculation as the power generation improvement score of the power station to be evaluated. Step S502: Perform a weighted fusion of the power generation improvement score and the fault score, and determine the result of the weighted fusion as the current revenue improvement score of the power station to be evaluated. Step S503: Based on the power generation improvement score and revenue improvement score, determine the current health assessment result of the power plant to be evaluated.

[0059] As an example, in step S501, the difference between the first power generation score and the second power generation score can be calculated, and the result of the difference calculation can be determined as the power generation improvement score of the power station to be evaluated. In other words, by comparing the current actual power generation level with the theoretical optimal power generation level, the potential for improvement in the power generation performance of the power station to be evaluated can be quantified.

[0060] As an example, in step S502, the power generation improvement score and the fault score can be weighted and fused, and the result of the weighted fusion can be determined as the revenue improvement score of the power station to be evaluated. In other words, by comprehensively considering the potential for power generation performance improvement and the degree of fault impact, the economic benefit improvement space that the power station operation and maintenance optimization can bring can be quantified.

[0061] As an example, in step S503, the health status of the power plant is comprehensively assessed based on the power generation improvement score and the revenue improvement score, and a corresponding health assessment result is generated.

[0062] Specifically, when the revenue improvement score is less than or equal to the first preset score threshold and the power generation improvement score is less than or equal to the second preset score threshold, the first power generation score is determined as the current health score of the power station to be evaluated. When the revenue improvement score is greater than the first preset score threshold and the power generation improvement score is less than or equal to the second preset score threshold, the first product of the revenue improvement score and the first preset weight is determined, and the difference between the first preset health score and the first product is determined as the current health score of the power plant to be evaluated. When the revenue improvement score is greater than the first preset score threshold and the power generation improvement score is greater than the second preset score threshold, the second product of the revenue improvement score and the second preset weight is determined, and the sum of the second preset health score and the second product is determined as the current health score of the power plant to be evaluated. When the revenue improvement score is less than or equal to the first preset score threshold and the power generation improvement score is greater than the second preset score threshold, the product of the first power generation score and the third preset weight is determined as the health score of the power plant to be evaluated. Based on the health score, generate the health assessment result for the power station to be evaluated.

[0063] For example, taking a first preset scoring threshold of 0 points and a second preset scoring threshold of 20 points as an example, the current power station to be evaluated has a revenue improvement score of 0 points and a power generation improvement score of 15 points. At this time, the power generation improvement score is less than the second preset scoring threshold, and the revenue improvement score does not exceed the first preset scoring threshold. Therefore, the first power generation score is directly determined as the health score of the power station, indicating that its overall operating status is good and no priority optimization intervention is required. If the revenue improvement score is 25 points and the power generation improvement score is 30 points, then since both scores exceed the corresponding thresholds, it is necessary to calculate the product of the revenue improvement score and the second preset weight (for example, 0.2), i.e., 25 × 0.2 = 5. Then, the second preset health score (for example, 40 points) is added to this product to obtain 45 points as the health score of the current power station to be evaluated, so as to realize personalized quantitative assessment of health status and reflect the optimization value of high-potential power stations.

[0064] Furthermore, when generating a health evaluation result based on the health score, the health rating of the power plant to be evaluated can be determined based on the health score; based on the health rating and at least one of the first power generation score, the second power generation score, and the fault score, health warning information of the power plant to be evaluated can be determined; and based on the health rating and the health warning information, a health evaluation result can be generated.

[0065] For example, when the health score is (80, 100), the health rating is good, indicating that the power plant is operating well. The corresponding health warning information for the power plant to be evaluated can be empty, or it can indicate "It is recommended to continue to maintain the current operation and maintenance strategy". The health warning information and the health rating are used together as the health assessment result. For example, when the health score is (40, 60), the health rating is poor, indicating that the power plant has obvious performance bottlenecks or potential failure risks. The health warning information can be combined with indicators such as low first power generation score and high failure score to generate specific operation and maintenance suggestions such as "It is recommended to prioritize equipment inspection and power optimization debugging". The rating and warning information are integrated and output as the final assessment result to assist operation and maintenance decision-making.

[0066] Optionally, when generating health assessment results, the health rating, sub-scores, and early warning suggestions can be presented in a visual report format. Simultaneously, a two-dimensional scatter plot is generated with the revenue improvement score and power generation improvement score as the axes, visually displaying the distribution of optimization potential for each power station currently under evaluation, facilitating horizontal comparison of the improvement space of different power stations. In the scatter plot, the horizontal axis represents the power generation improvement score, and the vertical axis represents the revenue improvement score. Each power station under evaluation is positioned according to its score value, with color used to distinguish health ratings, achieving multi-dimensional data fusion and presentation, and improving decision-making efficiency.

[0067] Optionally, when determining the health score, the offline operation records of the power plant to be evaluated can be integrated to calculate the scores for parameters such as the offline frequency and offline duration of the power plant to be evaluated, and these scores can be weighted and integrated with the revenue improvement score and the power generation improvement score to further revise the health score.

[0068] In summary, this invention proposes a method for assessing the health of photovoltaic power plants. By dynamically and individually determining power generation reference coefficients based on historical power generation data, it avoids misjudgments of power generation capacity due to environmental or time-related differences, thereby improving assessment accuracy. Furthermore, by combining real-time operational data and equipment status, a multi-dimensional scoring system is constructed to comprehensively depict the health status of the power plant. This method not only reflects the current operational level but also reveals optimization potential through potential indicators, driving a shift from passive to proactive operation and maintenance strategies and facilitating the intelligent upgrade of photovoltaic power plant lifecycle management.

[0069] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0070] In one embodiment, a photovoltaic power plant health assessment device is provided, which corresponds one-to-one with the photovoltaic power plant health assessment method described in the above embodiments. For example... Figure 6 As shown, the photovoltaic power plant health assessment device includes a power plant classification module 601, a reference coefficient determination module 602, a completion rate determination module 603, a power generation score determination module 604, a fault score determination module 605, and a result generation module 606. Detailed descriptions of each functional module are as follows: The power plant classification module 601 is used to identify the current reference power plant and other power plants to be evaluated from the photovoltaic power plant cluster. The reference coefficient determination module 602 is used to obtain historical power generation data of the photovoltaic power station cluster in the historical evaluation period, and determine the power generation reference coefficient of the photovoltaic power station cluster based on the historical power generation data. The current reference coefficient is used to indicate the comparison between the ideal power generation duration of the historical evaluated power station and the actual power generation duration of the historical reference power station. The historical evaluated power station and the historical reference power station belong to the photovoltaic power station cluster. The completion rate determination module 603 is used to obtain the current power generation data and current fault data of the photovoltaic power station cluster in the current evaluation period, and determine the actual power generation completion rate and ideal power generation completion rate of the power station to be evaluated based on the current power generation data, current fault data and power generation reference coefficient. The power generation score determination module 604 is used to determine the scoring rules corresponding to the first scoring interval and the second scoring interval based on the first scoring interval corresponding to the actual power generation completion rate and the second scoring interval corresponding to the ideal power generation completion rate, and to determine the first power generation score of the actual power generation completion rate and the second power generation score corresponding to the ideal power generation completion rate based on the scoring rules. The fault rating determination module 605 is used to determine the fault rating of the power plant to be evaluated based on the current fault data. The result generation module 606 is used to integrate the first power generation score, the second power generation score, and the fault score to determine the current health assessment result of the power station to be evaluated.

[0071] In one embodiment, the historical power generation data includes: the first historical actual power generation duration of the historically evaluated power station, the historical fault power generation duration of the historically evaluated power station, and the second historical actual power generation duration of the historical reference power station. The historically evaluated power station and the historical reference power station belong to a photovoltaic power station cluster. The reference coefficient determination module 602 is further used to determine the sum of the first historical actual power generation duration and the historical fault power generation duration as the first historical ideal power generation duration of the historically evaluated power station. The ratio between the historical ideal power generation duration and the second historical actual power generation duration is determined as the power generation reference coefficient.

[0072] In one embodiment, the current power generation data includes: the first current actual power generation duration of the power station to be evaluated and the second current actual power generation duration of the current reference power station; the current fault data includes the current fault power generation duration of the power station to be evaluated; the completion rate determination module 603 is further configured to multiply the second current actual power generation duration and the power generation reference coefficient to determine the current target power generation duration of the power station to be evaluated. The ratio between the current actual power generation duration and the current target power generation duration is determined as the current actual power generation completion rate of the power station to be evaluated. Sum the current actual power generation duration and the current fault power generation duration to determine the ideal power generation duration of the power station to be evaluated. The ratio between the current ideal power generation duration and the current target power generation duration is determined as the ideal power generation completion rate of the power station to be evaluated.

[0073] In one embodiment, the fault scoring determination module 605 is further configured to determine the fault duration and fault frequency of the power plant to be evaluated based on the current fault data. Based on the duration of the fault, determine the fault duration score of the power station to be evaluated, and based on the fault frequency, determine the fault frequency score of the power station to be evaluated. The fault score is determined by combining the fault duration score and the fault frequency score.

[0074] In one embodiment, the result generation module 606 is further configured to calculate the difference between the first power generation score and the second power generation score, and determine the result of the difference calculation as the power generation improvement score of the power plant to be evaluated. The power generation improvement score and the fault score are weighted and fused, and the result of the weighted fusion is determined as the current revenue improvement score of the power plant to be evaluated. Based on the power generation improvement score and revenue improvement score, the health assessment result of the power plant to be evaluated is determined.

[0075] In one embodiment, the result generation module 606 is further configured to determine the first power generation score as the health score of the power plant to be evaluated when the revenue improvement score is less than or equal to a first preset score threshold and the power generation improvement score is less than or equal to a second preset score threshold. When the revenue improvement score is greater than the first preset score threshold and the power generation improvement score is less than or equal to the second preset score threshold, the first product of the revenue improvement score and the first preset weight is determined, and the difference between the first preset health score and the first product is determined as the current health score of the power plant to be evaluated. When the revenue improvement score is greater than the first preset score threshold and the power generation improvement score is greater than the second preset score threshold, the second product of the revenue improvement score and the second preset weight is determined, and the sum of the second preset health score and the second product is determined as the current health score of the power plant to be evaluated. When the revenue improvement score is less than or equal to the first preset score threshold and the power generation improvement score is greater than the second preset score threshold, the product of the first power generation score and the third preset weight is determined as the health score of the power plant to be evaluated. Based on the health score, generate the health assessment result for the power station to be evaluated.

[0076] In one embodiment, the result generation module 606 is further configured to determine the current health rating of the power plant to be evaluated based on the health score. Based on the health rating, and at least one of the first power generation score, the second power generation score, and the fault score, determine the health warning information of the power plant to be evaluated. Based on health ratings and health warning information, a health assessment result is generated.

[0077] This invention provides a photovoltaic power plant health assessment device, comprising: a power plant classification module, used to identify the current reference power plant and other power plants to be assessed from a photovoltaic power plant cluster; a reference coefficient determination module, used to acquire historical power generation data of the photovoltaic power plant cluster in a historical assessment period, and determine the power generation reference coefficient of the photovoltaic power plant cluster based on the historical power generation data, wherein the current reference coefficient is used to indicate the comparison between the ideal power generation duration of the historically assessed power plant and the actual power generation duration of the historically assessed power plant, and the historically assessed power plant and the historically referenced power plant belong to the photovoltaic power plant cluster; and a completion rate determination module, used to acquire the current power generation data and current fault data of the photovoltaic power plant cluster in the current assessment period, and based on... The system uses current power generation data, current fault data, and power generation reference coefficients to determine the actual and ideal power generation completion rates of the power station under evaluation. A power generation scoring module determines scoring rules for the first and second scoring intervals based on the actual power generation completion rate and the ideal power generation completion rate, and then determines the first power generation score for the actual power generation completion rate and the second power generation score for the ideal power generation completion rate based on these rules. A fault scoring module determines the fault score of the power station under evaluation based on current fault data. A result generation module integrates the first, second, and fault scores to determine the health assessment result of the power station. The system also utilizes historical power generation data to personalize the power generation reference coefficients, avoiding evaluation biases caused by fixed standards under different geographical and climatic conditions, thus improving the accuracy and applicability of the health assessment results. Furthermore, by determining the scores for the actual and ideal power generation completion rates and combining them with fault scores for multi-dimensional integration, the system determines the health assessment result, comprehensively reflecting the power station's operating status, providing accurate basis for operation and maintenance decisions, and further improving the intelligent management level and overall power generation efficiency of the photovoltaic power station cluster.

[0078] The device disclosed herein manages test software resources uniformly through a pre-set batch file, enabling rapid loading and flexible invocation of test programs. At the same time, it intuitively displays test items and instrument status through a graphical interface, significantly improving the visualization and ease of operation of the test process.

[0079] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database is used for data employed in the photovoltaic power plant health assessment method. The network interface is used for communication with external terminals via a network connection. When the processor executes the computer program, it implements the aforementioned photovoltaic power plant health assessment method.

[0080] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described photovoltaic power plant health assessment method.

[0081] In one embodiment, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described photovoltaic power plant health assessment method.

[0082] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0083] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0084] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for assessing the health of a photovoltaic power plant, characterized in that, include: Identify the current reference power station from the photovoltaic power station cluster, as well as the other power stations to be evaluated besides the current reference power station; The historical power generation data of the photovoltaic power station cluster during the historical evaluation period is obtained, and based on the historical power generation data, the power generation reference coefficient of the photovoltaic power station cluster is determined. The current reference coefficient is used to indicate the comparison between the ideal power generation duration of the historically evaluated power station and the actual power generation duration of the historical reference power station. The historically evaluated power station and the historical reference power station belong to the photovoltaic power station cluster. The current power generation data and current fault data of the photovoltaic power station cluster in the current evaluation period are obtained, and based on the current power generation data, the current fault data and the power generation reference coefficient, the actual power generation completion rate and the ideal power generation completion rate of the power station to be evaluated are determined. Based on the first scoring interval corresponding to the actual power generation completion rate and the second scoring interval corresponding to the ideal power generation completion rate, the scoring rules corresponding to the first scoring interval and the second scoring interval are determined, and based on the scoring rules, the first power generation score of the actual power generation completion rate and the second power generation score corresponding to the ideal power generation completion rate are determined. Based on the current fault data, determine the fault score of the power station to be evaluated. The first power generation score, the second power generation score, and the fault score are fused together to determine the current health assessment result of the power station to be evaluated.

2. The method according to claim 1, characterized in that, The historical power generation data includes: the first historical actual power generation duration of the historically evaluated power station, the historical fault power generation duration of the historically evaluated power station, and the second historical actual power generation duration of the historical reference power station. The historically evaluated power station and the historical reference power station belong to the photovoltaic power station cluster. Determining the power generation reference coefficient of the photovoltaic power station cluster based on the historical power generation data includes: The sum of the first historical actual power generation duration and the historical fault power generation duration is determined as the first historical ideal power generation duration of the historical power station being evaluated. The ratio between the historical ideal power generation duration and the second historical actual power generation duration is determined as the power generation reference coefficient.

3. The method according to claim 1, characterized in that, The current power generation data includes: the first current actual power generation duration of the power station to be evaluated and the second current actual power generation duration of the current reference power station; the current fault data includes the current fault power generation duration of the power station to be evaluated; determining the actual power generation completion rate and ideal power generation completion rate of the power station to be evaluated based on the current power generation data, the current fault data, and the power generation reference coefficient includes: Multiply the second current actual power generation duration by the power generation reference coefficient to determine the current target power generation duration of the power station to be evaluated; The ratio between the first current actual power generation duration and the current target power generation duration is determined as the actual power generation completion rate of the current power station to be evaluated. The ideal power generation duration of the current power station to be evaluated is determined by summing the first current actual power generation duration and the current fault power generation duration. The ratio between the current ideal power generation duration and the current target power generation duration is determined as the ideal power generation completion rate of the power station to be evaluated.

4. The method according to claim 1, characterized in that, The process of determining the fault score of the power station to be evaluated based on the current fault data includes: Based on the current fault data, determine the fault duration and fault frequency of the current power station to be evaluated; Based on the duration of the fault, a fault duration score is determined for the current power station to be evaluated, and based on the fault frequency, a fault frequency score is determined for the current power station to be evaluated. The fault score is determined by fusing the fault duration score and the fault frequency score.

5. The method according to claim 1, characterized in that, The process of fusing the first power generation score, the second power generation score, and the fault score to determine the current health assessment result of the power station to be evaluated includes: Based on the second power generation score, the difference between the first power generation score and the second power generation score is calculated, and the result of the difference calculation is determined as the power generation improvement score of the current power station to be evaluated. The power generation improvement score and the fault score are weighted and fused together, and the result of the weighted fusion is determined as the revenue improvement score of the current power station to be evaluated. Based on the power generation improvement score and the revenue improvement score, the health assessment result of the current power station to be evaluated is determined.

6. The method according to claim 5, characterized in that, The process of determining the health assessment result of the power plant to be evaluated based on the power generation improvement score and the revenue improvement score includes: When the revenue improvement score is less than or equal to the first preset score threshold and the power generation improvement score is less than or equal to the second preset score threshold, the first power generation score is determined as the health score of the current power station to be evaluated. When the revenue improvement score is greater than the first preset score threshold and the power generation improvement score is less than or equal to the second preset score threshold, the first product of the revenue improvement score and the first preset weight is determined, and the difference between the first preset health score and the first product is determined as the health score of the current power station to be evaluated. When the revenue improvement score is greater than the first preset score threshold and the power generation improvement score is greater than the second preset score threshold, the second product of the revenue improvement score and the second preset weight is determined, and the sum of the second preset health score and the second product is determined as the health score of the current power station to be evaluated. When the revenue improvement score is less than or equal to the first preset score threshold, and the power generation improvement score is greater than the second preset score threshold, the product of the first power generation score and the third preset weight is determined as the health score of the current power station to be evaluated. Based on the health score, a health assessment result is generated for the current power station to be evaluated.

7. The method according to claim 6, characterized in that, The process of generating a health assessment result for the current power station to be assessed based on the health score includes: Based on the health score, the health rating of the current power station to be evaluated is determined; Based on the health rating, and at least one of the first power generation score, the second power generation score, and the fault score, the health warning information of the power plant to be evaluated is determined; The health assessment result is generated based on the health rating and the health warning information.

8. A photovoltaic power station health assessment device, characterized in that, include: The power plant classification module is used to identify the current reference power plant and other power plants to be evaluated from the photovoltaic power plant cluster. The reference coefficient determination module is used to acquire the historical power generation data of the photovoltaic power station cluster in the historical evaluation period, and determine the power generation reference coefficient of the photovoltaic power station cluster based on the historical power generation data. The current reference coefficient is used to indicate the comparison relationship between the ideal power generation duration of the historically evaluated power station and the actual power generation duration of the historical reference power station. The historically evaluated power station and the historical reference power station belong to the photovoltaic power station cluster. The completion rate determination module is used to obtain the current power generation data and current fault data of the photovoltaic power station cluster in the current evaluation period, and determine the actual power generation completion rate and ideal power generation completion rate of the current power station to be evaluated based on the current power generation data, the current fault data and the power generation reference coefficient. The power generation score determination module is used to determine the scoring rules corresponding to the first scoring interval and the second scoring interval based on the first scoring interval corresponding to the actual power generation completion rate and the second scoring interval corresponding to the ideal power generation completion rate, and to determine the first power generation score of the actual power generation completion rate and the second power generation score corresponding to the ideal power generation completion rate based on the scoring rules. The fault rating determination module is used to determine the fault rating of the power station to be evaluated based on the current fault data. The result generation module is used to fuse the first power generation score, the second power generation score, and the fault score to determine the health assessment result of the current power station to be evaluated.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the photovoltaic power plant health assessment method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the photovoltaic power plant health assessment method as described in any one of claims 1 to 7.

Images