New energy station operation and maintenance level rating method, device and equipment and storage medium

Abstract

The present application relates to the technical field of station management, and particularly relates to a new energy station operation and maintenance level rating method, device, equipment and storage medium. The method comprises the following steps: obtaining operation data of a plurality of new energy stations in a region; calculating a current scoring index value of each new energy station based on the operation data; calculating a production index score of each new energy station based on the current scoring index value of each new energy station, a change value of the current scoring index value relative to a historical scoring index value, a maximum value and a minimum value of the scoring index value of each new energy station and corresponding change values; and determining an operation and maintenance level of each new energy station according to the production index score of each new energy station. In the present application, the production index score used in the rating combines the trend index, i.e. the change value, obtained by comparing with the historical operation state, and the maximum value and minimum value obtained by comparing with other new energy stations, thereby reducing the influence of inconsistent operation conditions on the output state evaluation of wind turbine generators.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of station management, and in particular to a new energy station operation and maintenance level rating method, device, equipment and storage medium. BACKGROUND

[0002] At the current important stage of energy transformation and new energy development, the proportion of new energy represented by wind power is increasing year by year. In order to reduce the cost and realize more efficient operation and maintenance, new energy enterprises gradually transform the traditional enterprise operation and maintenance mode by using various automatic control technologies, Internet technologies, Internet of Things technologies and artificial intelligence technologies. Under this background, it is particularly important to objectively and quantitatively evaluate the pros and cons of wind power site operation and maintenance level.

[0003] In the existing evaluation method, the unit output state and the station operation and maintenance level in the new energy station are considered, but the factors such as the site wind resource and the unit operation environment are not considered. Because the comparison between the actual operation power curve and the guaranteed power curve is different at each wind speed segment, the wind resource of the region will greatly affect the actual output level of the unit. For example, the region with poor wind speed may affect the assessment of the unit output level. Under inconsistent external factors, using the same energy efficiency index or power generation index to evaluate the unit cannot accurately judge the unit output state. SUMMARY

[0004] Therefore, the present application provides a new energy station operation and maintenance level rating method and device to solve the problem of how to accurately evaluate the operation and maintenance of the unit under inconsistent wind resources and environmental conditions during unit operation.

[0005] In the first aspect, the present application provides a new energy station operation and maintenance level rating method, which comprises: obtaining operation data of a plurality of new energy stations in a region; calculating a current score index value of each new energy station based on the operation data, wherein the score index value includes an energy efficiency type score index value and a reliability type score index value; calculating a production index score of each new energy station based on the current score index value of each new energy station, a change value of the current score index value relative to a historical score index value, a maximum value and a minimum value of the score index value of each new energy station and the corresponding change value; and determining an operation and maintenance level grade of each new energy station according to the production index score of each new energy station.

[0006] In the present application, the production index score used in the rating combines the trend index, i.e. the change value, obtained by comparing with the historical operation state and the maximum value and minimum value obtained by comparing with other new energy stations, so that the rating method reduces the influence of inconsistent operation conditions on the wind turbine output state evaluation.

[0007] In an alternative embodiment, the energy efficiency type scoring indicators include: energy efficiency loss rate, power prediction accuracy, utilization hour relative research deviation rate, and energy utilization rate; the reliability type scoring indicators include: equipment availability, average fault recovery time, average post-repair fault-free time, average downtime number per unit, and average downtime time per unit.

[0008] The production index scores corresponding to the energy efficiency loss rate, average fault recovery time, average post-repair fault-free time, average downtime number per unit, and average downtime time per unit are calculated using the following formula:

[0009]

[0010] The production index scores corresponding to the power prediction accuracy, utilization hour relative research deviation rate, energy utilization rate, and equipment availability are calculated using the following formula:

[0011]

[0012] In the formula, S represents the production index score, a represents the weight of the scoring indicator value, b represents the differentiation coefficient of the scoring indicator value, m represents the current scoring indicator value, m max represents the maximum value of the scoring indicator value of each new energy station, m min represents the minimum value of the scoring indicator value of each new energy station, Δm represents the change value of the current scoring indicator value relative to the historical scoring indicator value, Δm max represents the change value of the maximum value of the scoring indicator value of each new energy station, Δm min represents the change value of the minimum value of the scoring indicator value of each new energy station, and n represents the standard score corresponding to the scoring indicator.

[0013] In the present application, the energy efficiency type scoring indicators and the reliability type scoring indicators are accurately calculated through the above formula.

[0014] In an alternative embodiment, the reliability type scoring indicators further include: platform communication interruption rate, defect number, and problem handling timeliness, the production index score corresponding to the platform communication interruption rate is determined based on the current platform communication interruption rate and the minimum value of the platform communication interruption rate of each new energy station; the production index score corresponding to the defect number is determined based on the statistical value of the defect number; and the production index score corresponding to the problem handling timeliness is determined based on the current problem handling timeliness and the maximum value of the problem handling timeliness of each new energy station.

[0015] In the present application, by adding the platform communication interruption rate, the defect number, and the problem handling timeliness to the reliability type scoring indicators, a more reliable evaluation of the new energy station is realized. Thus, the operation and maintenance level can be more accurately evaluated.

[0016] In an optional implementation, the operation and maintenance level of each new energy station is determined according to the production index score of each new energy station, including: determining the ranking, single index score rate and total index score of each new energy station according to the production index score of each new energy station; the new energy station whose ranking meets the first preset condition and whose single index score rate meets the second preset condition is rated as A level; the new energy station whose ranking meets the third preset condition and whose single index score rate meets the fourth preset condition or whose ranking meets the first preset condition and whose single index score rate does not meet the second preset condition is rated as B level; the new energy station whose ranking meets the fifth preset condition or whose ranking meets the third preset condition and whose single index score rate does not meet the fourth preset condition or the new energy station not connected to the preset system is rated as C level; the new energy station whose ranking meets the sixth preset condition and whose total index score meets the seventh preset condition or the new energy station having the preset fault is rated as D level.

[0017] In the application, the new energy station is ranked by combining the ranking, single index score rate and total index score, so that the operation and maintenance level of the new energy station can be described more objectively.

[0018] In an optional implementation, the score index value of the period includes monthly score index value, quarterly score index value and annual score index value, the operation and maintenance level of each new energy station is determined according to the production index score of each new energy station, and the method further includes: determining the monthly operation and maintenance level, quarterly operation and maintenance level and annual operation and maintenance level of each new energy station according to the production index score of each new energy station; and calculating the regional total score value by weighting the production index score of each new energy station and the installed capacity of each new energy station.

[0019] In the application, the monthly operation and maintenance level, quarterly operation and maintenance level, annual operation and maintenance level and regional total score value are determined, so that more data basis is provided for the operation and maintenance management of the new energy station.

[0020] In an optional implementation, the energy efficiency loss rate is determined by the ratio of energy efficiency loss power and expected power generation; the power prediction accuracy rate is determined by predicted power, actual power and installed capacity; the utilization hour relative research deviation rate is determined by actual power generation, rated capacity and research utilization hours; and the energy utilization rate is determined by the ratio of actual power generation and expected power generation.

[0021] In one optional implementation, the platform communication interruption rate is determined by the number of units connected to the platform, the communication interruption time, and the calendar time; the equipment availability rate is determined by the total available time of the units and the number of normal communication events; the average fault recovery time is determined by the total number of faults and the start and recovery times of each unit's fault shutdown; the average fault-free time after maintenance is determined by the total number of maintenance shutdowns and the end time and start time of the first fault shutdown after maintenance for each unit; the average number of shutdowns per unit is determined by the number of units and the number of shutdowns per unit; the average downtime per unit is determined by the number of units and the downtime per unit; the number of defects is determined by the number of times the faults at the new energy power station exceed a preset time; and the timeliness of problem handling is determined by the number of units with resolved problems, the number of problematic units, and the number of hours taken to resolve the problems.

[0022] In this invention, the calculation methods for energy efficiency and reliability scoring indicators are defined by the above-mentioned approach, providing a data foundation for the subsequent calculation of production indicator scores.

[0023] Secondly, the present invention provides a device for rating the operation and maintenance level of new energy power stations. The device includes: a data acquisition module for acquiring operational data of multiple new energy power stations within a region; a scoring index calculation module for calculating the current scoring index value of each new energy power station based on the operational data, the scoring index value including energy efficiency scoring index value and reliability scoring index value; a production index scoring calculation module for calculating the production index score of each new energy power station based on the current scoring index value of each new energy power station, the change value of the current scoring index value relative to the historical scoring index value, the maximum value, minimum value and corresponding change value of the scoring index values ​​of each new energy power station; and a rating module for determining the operation and maintenance level of each new energy power station based on the production index score of each new energy power station.

[0024] Thirdly, the present invention provides a computer device, including: a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the new energy power station operation and maintenance level rating method described in the first aspect or any corresponding embodiment.

[0025] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions, which are used to cause a computer to execute the new energy power station operation and maintenance level rating method described in the first aspect or any corresponding embodiment thereof.

[0026] Fifthly, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the new energy power station operation and maintenance level rating method described in the first aspect or any corresponding embodiment. Attached Figure Description

[0027] In order to more clearly illustrate the technical solutions in the specific embodiments of the present application or the prior art, the drawings required to be used in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0028] Figure 1 is a flowchart of a new energy station operation and maintenance level rating method according to an embodiment of the present application;

[0029] Figure 2 is a structural block diagram of a new energy station operation and maintenance level rating device according to an embodiment of the present application;

[0030] Figure 3 is a hardware structure schematic diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0031] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort fall within the scope of protection of the present application.

[0032] According to an embodiment of the present application, a new energy station operation and maintenance level rating method is provided. It should be noted that the steps shown in the flowchart of the 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.

[0033] In the present embodiment, a new energy station operation and maintenance level rating method is provided, which can be used in electronic devices such as computers, mobile phones, tablet computers, etc. Figure 1 is a flowchart of a new energy station operation and maintenance level rating method according to an embodiment of the present application, as shown in Figure 1 the flowchart includes the following steps:

[0034] In step S101, operation data of a plurality of new energy station in a region is acquired. Specifically, the operation data can be data collected in the new energy station through a SCADA system (Supervisory Control And Data Acquisition). The data can be data generated in the process of operation of the new energy station, including normal operation data, abnormal and fault data, etc. The new energy station can be a wind power station, a wind-solar power station or a photovoltaic power station, etc. For the wind power station, if it includes an offshore wind power station and a land wind power station, the rating of the offshore wind power station and the land wind power station is performed separately; for the wind-solar power station, the wind power and the photovoltaic power are rated according to independent stations. When the new energy station is a wind power station, the operation data includes wind speed, wind direction, temperature, voltage and current, etc.

[0035] In addition, in order to make the rating of the new energy station more objective and accurate, operation data of a plurality of new energy stations is acquired, so as to realize the horizontal comparison of the new energy station to be evaluated with other new energy stations. In this embodiment, operation data of a plurality of new energy stations in a region is acquired. The region can be a province or a city selected according to actual conditions as the corresponding region. In actual application, when the new energy station to be evaluated includes a plurality of new energy stations and cannot be divided into a region, operation data of a plurality of new energy stations in a plurality of regions can also be acquired according to the new energy station to be evaluated. For each new energy station, it also includes a plurality of units, so the acquired operation data can be stored according to the hierarchical relationship of region, station and unit.

[0036] In step S102, the score index value of each new energy station in the current period is calculated based on the operation data, including the energy efficiency type score index value and the reliability type score index value. Specifically, when rating the new energy station, it can be rated according to a certain period, for example, once a month, once a quarter or once a year. Therefore, when calculating the score index value in the current period, the corresponding score index value can be calculated according to the operation data in the corresponding period, for example, if it is rated once a year, the score index value in the current period is calculated based on the operation data in one year.

[0037] Among them, for the score index, the embodiment determines two types of indexes, including the energy efficiency type score index and the reliability type score index; wherein the energy efficiency type score index includes indexes representing the utilization rate or efficiency of the new energy station, etc.; the reliability type index includes indexes representing the reliability of the new energy station, such as communication, fault and shutdown of the new energy station, etc.

[0038] Step S103, based on the score index value of each new energy station at the current period, the change value of the current score index value relative to the historical score index value, the maximum value and the minimum value of the score index value of each new energy station and the corresponding change value, the production index score of each new energy station is calculated. Specifically, since the calculated score index value includes multiple, it is necessary to calculate the corresponding production index score for each score index value. Among them, when calculating the corresponding production index score based on each score index value, in addition to the current score index value, the change value of the current score index value and the historical score index value is also calculated, and the calculated change value realizes the longitudinal comparison of the new energy station to be evaluated with itself, and the change value can also be called the same change value. For the historical score index value, it can be the score index value of the same period in history, for example, the current score index value is the monthly score index value, and the historical score index value can be the score index value of the corresponding month last year.

[0039] In addition, in order to realize the horizontal comparison of the new energy station to be evaluated with other new energy stations, the score index value of other new energy stations is further considered in the production index score, which can be the new energy station in the same region as the new energy station to be evaluated, that is, the corresponding score index value of other new energy stations is also calculated, and the maximum and minimum score index values and the corresponding change values are selected and added to the calculation of the production index score.

[0040] Step S104, according to the production index score of each new energy station, the operation and maintenance level of each new energy station is determined. Specifically, for each new energy station to be evaluated, the number of production index scores can include multiple, and the final score of each new energy station can be determined in combination with multiple production index scores, and the operation and maintenance level of the new energy station is determined according to the final score.

[0041] The new energy station operation and maintenance level rating method provided by the embodiment of the application combines the trend index, i.e. the change value, obtained by comparing with the historical operation state of itself and the maximum value and the minimum value obtained by comparing with other new energy stations, so that the rating method reduces the influence of inconsistent operation conditions on the output state evaluation of the wind turbine.

[0042] In the embodiment, a new energy station operation and maintenance level rating method is provided, which comprises the following steps:

[0043] Step S201, obtaining the operation data of a plurality of new energy stations in a region. For details, please refer to Figure 1 The step S104 of the embodiment shown in the figure will not be repeated here.

[0044] Step S202, calculate the scoring index value of each new energy station in the current period based on the operation data, the scoring index value includes energy efficiency type scoring index value and reliability type scoring index value. The energy efficiency type scoring index includes: energy efficiency loss rate, power prediction accuracy rate, relative deviation rate of utilization hours and energy utilization rate; the reliability type scoring index includes: equipment availability, average fault recovery time, average fault-free time after maintenance, average downtime number of units and average downtime time of units.

[0045] Specifically, in the calculation of the scoring index value, some basic indexes are calculated based on the operation data first, these basic indexes do not participate in the final rating score, but can be used as the basis for calculating the scoring index, and can also be saved as some basic data in the corresponding new energy station. The basic indexes calculated in this embodiment include resource type indexes, power generation indexes, power loss indexes and maintenance indexes, etc. When the new energy station is a wind power station, the specific basic indexes include a plurality of indexes shown in Table 1 as follows.

[0046] Table 1

[0047]

[0048]

[0049] For the above-mentioned basic indexes, the average wind speed is calculated by the following formula:

[0050]

[0051] In the formula, v i represents the hub height instantaneous wind speed or 5min average wind speed, and n represents the number of all samples.

[0052] The effective wind speed hours are calculated by the following formula:

[0053]

[0054] In the formula, v min <v i <v max , wherein v min is the cut-in wind speed, v max is the cut-out wind speed, represents the time of the hub height wind speed in the power generation interval within the statistical period.

[0055] The wind power density is calculated by the following formula:

[0056]

[0057] In the formula, D WP represents the average wind power density at the hub height; and ρ represents the air density.

[0058] The generated power is calculated by the following formula:

[0059] E0= E P + E i + E m + E h + E k + E j

[0060] In the formula, E p is the actual generated power; E i is the dispatch power limit (abandoned wind power); E m is the planned shutdown loss power; E h is the affected shutdown loss power; E k is the fault shutdown loss power; and E j is the energy efficiency loss power.

[0061] The actual generated power is calculated by the following formula:

[0062] E P =∑E i

[0063] In the formula, E i is the actual generated power of the ith unit.

[0064] The field power consumption is calculated by the following formula:

[0065]

[0066] In the formula, E C is the field power consumption; and E P is the actual generated power.

[0067] The dispatch power limit is calculated by the following formula:

[0068] E i =∑ i (Po(v)-P1)

[0069] In the formula, P1 is the active power of the unit; Po(v) is the power corresponding to the wind speed v of the fitted power curve; and i is the dispatch limit load loss point.

[0070] The planned shutdown loss power is calculated by the following formula:

[0071] E m =∑ m (Po(v)-P1)

[0072] In the formula, m is the planned shutdown loss point, and the shutdown plan is filled in by the power generation enterprise on the diagnosis platform.

[0073] The affected shutdown loss power is calculated by the following formula:

[0074] E h =∑ h (Po(v)-P1)

[0075] Wherein, h is the affected outage loss point, and the affected outage state of the unit is reported by the power generation enterprise on the diagnosis platform.

[0076] The fault outage loss electric quantity is calculated by the following formula:

[0077] E k =∑ k (Po(v)-P1)

[0078] Wherein, k is the fault outage loss point, and the planned outage caused by non-affected or dispatch power limiting is recorded as the fault outage.

[0079] The energy efficiency loss electric quantity is calculated by the following formula:

[0080] E j =∑ j (Po(v)-P1)++∑ l (Pb(v)-P1)

[0081] Wherein, j is the self-limiting load point; Pb(v) is the power of the guarantee power curve corresponding to the wind speed v; and l is the data point of the unit below the guarantee power.

[0082] The dispatch power limiting loss rate is calculated by the following formula:

[0083]

[0084] Wherein, E i is the dispatch power limiting loss electric quantity; and E0 is the should-be-generated electric quantity.

[0085] The affected outage loss rate is calculated by the following formula:

[0086]

[0087] Wherein, E h is the affected outage loss electric quantity.

[0088] The field loss electric quantity is calculated by the following formula:

[0089] E TC =E P -E out +E in -E C

[0090] Wherein, E P is the actual generated electric quantity; E out is the on-grid electric quantity; and E inis the net electricity generation; E C is the field loss electricity.

[0091] The field loss rate is calculated by the following formula:

[0092]

[0093] In the formula, E TC is the field loss electricity; E P is the actual electricity generation.

[0094] The average planned maintenance time is calculated by the following formula:

[0095]

[0096] In the formula, T jsi is the planned maintenance shutdown time of the i th unit; T jdi is the planned maintenance shutdown time of the i th unit; q is the total number of units in the statistical period.

[0097] Based on the above basic indicators combined with operation data, the scoring indicators can be further calculated. When the new energy station is a wind power station, the unit, statistical period and other parameters of the scoring indicators are shown in Table 2.

[0098] Table 2

[0099]

[0100]

[0101] For the above scoring indicators, the energy efficiency loss rate is determined by the proportion of energy efficiency loss electricity and the expected electricity generation; then the energy efficiency loss rate is calculated by the following formula:

[0102]

[0103] In the formula, E j is the energy efficiency loss electricity; E0 is the expected electricity generation.

[0104] The power prediction accuracy is determined by the predicted power, the actual power and the on-line capacity; for the power prediction accuracy, according to the different predicted power, the short-term power prediction accuracy C RS and the ultra-short-term power prediction accuracy C RSS can be calculated respectively. The power prediction accuracy is calculated by the following formula:

[0105]

[0106] In the formula, n is the number of all samples; P Pi is the actual power at i time; P PmP is the predicted power at time i; C i P is the on-line capacity at time i. When P Pm P is the short-term predicted power at time i, then the calculated power prediction accuracy is the short-term power prediction accuracy C RS P is the short-term predicted power at time i, then the calculated power prediction accuracy is the short-term power prediction accuracy C Pm P is the ultra-short-term predicted power at time i, then the calculated power prediction accuracy is the ultra-short-term power prediction accuracy C RSS .

[0107] The relative deviation rate of utilization hours is determined by the actual power generation, the rated capacity and the utilization hours of research; then the relative deviation rate of utilization hours is calculated by the following formula:

[0108]

[0109] In the formula, E p is the actual power generation; C n is the rated capacity of the new energy station; h n is the utilization hours of research.

[0110] The energy utilization rate is determined by the ratio of the actual power generation and the power generation; then the energy utilization rate is calculated by the following formula:

[0111]

[0112] In the formula, E P is the actual power generation; E0 is the power generation.

[0113] The platform communication interruption rate is determined by the number of units connected to the platform, the communication interruption time and the calendar time; then the platform communication interruption rate is calculated by the following formula:

[0114]

[0115] In the formula, n is the number of units connected to the platform; T intj is the communication interruption time of the jth unit; T total is the calendar time. The platform refers to the information platform, which is connected by the unit in the normal operation process and is used for operation and maintenance management of the unit.

[0116] The equipment availability is determined by the total available state time of the unit and the normal communication event; then the equipment availability is calculated by the following formula:

[0117]

[0118] In the formula, T kj is the total available state time of the jth unit in the statistical period (the total available state time = normal communication time - planned downtime - fault downtime); T0 is the normal communication time of the unit in the calculation period.

[0119] The average fault recovery time is determined by the total number of faults, and the start time and recovery time of each unit fault downtime; the average fault recovery time is calculated by the following formula:

[0120]

[0121] In the formula, T gsi is the start time of the i-th unit fault downtime; T gdi is the recovery time of the i-th unit fault downtime; and q is the total number of unit faults in the statistical period.

[0122] The average fault-free time after maintenance is determined by the total number of maintenance, and the end time of the maintenance downtime, the start time of the first fault downtime after maintenance; the average fault-free time after maintenance is calculated by the following formula:

[0123]

[0124] In the formula, T jdi is the end time of the i-th unit maintenance downtime; T jgi is the start time of the first fault downtime after the i-th unit maintenance; and q is the total number of unit maintenance in the statistical period.

[0125] The unit average downtime frequency is determined by the number of units and the downtime frequency of each unit; the unit average downtime frequency is calculated by the following formula:

[0126]

[0127] In the formula, f ti is the downtime frequency of the i-th unit in the statistical period; and n is the number of units.

[0128] The unit average downtime time is determined by the number of units and the downtime time of each unit; the unit average downtime time is calculated by the following formula:

[0129]

[0130] In the formula, t ti is the downtime time of the i-th unit in the statistical period; and n is the number of units.

[0131] The defect frequency is determined by the number of times that the new energy station fault exceeds the preset time; specifically, for a wind power station, the following defect frequencies can be counted: the continuous downtime of a wind turbine exceeds 240 hours; any single return power collection line in the wind power station stops running for more than 24 hours; damage to large components such as gearboxes and generators.

[0132] The problem processing timeliness is calculated by the solved problem unit times, the problem unit times and the hours used to solve the problem. The problem processing timeliness is calculated by the following formula:

[0133]

[0134] In the formula, q is the solved problem unit times; Q total is the problem unit times; D i is the problem processing timeliness of the i th unit.

[0135]

[0136] In the formula, H orij is the hours used to solve the i th wind turbine problem.

[0137] Based on the above calculation formula of the scoring index, according to whether the calculated current scoring index value is a monthly scoring index value, a quarterly scoring index value or an annual scoring index value, the corresponding operation data is substituted to obtain the current scoring index value.

[0138] In step S203, the production index score of each new energy station is calculated based on the current scoring index value of each new energy station, the change value of the current scoring index value relative to the historical scoring index value, the maximum value and the minimum value of the scoring index value of each new energy station and the corresponding change value.

[0139] The production index scores corresponding to the energy efficiency loss rate, the average fault recovery time, the average fault-free time after maintenance, the unit downtime and the unit downtime are calculated by the following formula:

[0140]

[0141] The production index scores corresponding to the power prediction accuracy rate, the relative deviation rate of utilization hours, the energy utilization rate and the equipment availability rate are calculated by the following formula:

[0142]

[0143] In the formula, S represents the production index score, a represents the weight of the scoring index value, b represents the differentiation coefficient of the scoring index value, m represents the current scoring index value, m max represents the maximum value of the scoring index value of each new energy station, m min represents the minimum value of the scoring index value of each new energy station, Δm represents the change value of the current scoring index value relative to the historical scoring index value, Δm max represents the change value of the maximum value of the scoring index value of each new energy station, Δm min represents the change value of the minimum value of the scoring index value of each new energy station, and n represents the standard score corresponding to the scoring index.

[0144] Among them, for the energy efficiency loss rate, the average fault recovery time, the average fault-free time after maintenance, the average downtime of the unit, and the average downtime of the unit, the smaller the score index value is the better, and for the power prediction accuracy, the relative deviation rate of utilization hours, the energy utilization rate and the equipment availability, the larger the score index value is the better, therefore, when calculating the corresponding production index score, two scoring methods of the above formula are adopted.

[0145] Specifically, for the energy efficiency loss rate, the corresponding production index score is calculated by the following formula:

[0146]

[0147] In the formula, a1 is the weight of the energy efficiency loss rate score (i.e. the score index value) of the current period; b1 is the discrimination coefficient of the energy efficiency loss rate score; η emax is the maximum value of the energy efficiency loss rate of each station; η emin is the minimum value of the energy efficiency loss rate of each station; Δη e = η e - η' e , Δη e is the same period change value of the energy efficiency loss rate of the current period and last year; η' e is the energy efficiency loss rate of last year; Δη emax is the maximum value of the energy efficiency loss rate of each station; Δη emin is the minimum value of the energy efficiency loss rate of each station.

[0148] For the power prediction accuracy, the corresponding production index score is calculated by the following formula:

[0149]

[0150] In the formula, a2 is the weight of the power prediction accuracy score of the current period; b2 is the discrimination coefficient of the power prediction accuracy score; C RSmax , C RSSmax is the maximum value of the short-term and ultra-short-term power prediction accuracy of each station; C RSmin , C RSSmin is the minimum value of the short-term and ultra-short-term power prediction accuracy of each station; ΔC RS = C RS - C' RS , ΔC RSS = C RSS - C' RSS , ΔC RS , ΔC RSS is the same period change value of the short-term and ultra-short-term power prediction accuracy of the current period and last year, C' RS , C'RSS is the short-term and ultra-short-term power prediction accuracy rate of the previous year; ΔC RSmax is the short-term and ultra-short-term power prediction accuracy rate of the previous year; ΔC RSSmax is the maximum value of the short-term and ultra-short-term power prediction accuracy rate of each station; ΔC RSmin is the maximum value of the short-term and ultra-short-term power prediction accuracy rate of each station; ΔC RSSmin is the minimum value of the short-term and ultra-short-term power prediction accuracy rate of each station.

[0151] For the relative research deviation rate of utilization hours, the corresponding production index score is calculated using the following formula:

[0152]

[0153] In the formula, a3 is the weight of the relative research deviation rate of utilization hours; b3 is the discrimination coefficient of the relative research deviation rate of utilization hours; η hmax is the maximum value of the relative research deviation rate of utilization hours of each station; η hmin is the minimum value of the relative research deviation rate of utilization hours of each station; Δη h = η h - η' h , Δη h is the same period change value of the relative research deviation rate of utilization hours of the current period and the previous year, η' h is the relative research deviation rate of utilization hours of the previous year; Δη hmax is the maximum value of the relative research deviation rate of utilization hours of each station; Δη hmin is the minimum value of the relative research deviation rate of utilization hours of each station.

[0154] For the energy utilization rate, the corresponding production index score is calculated using the following formula:

[0155]

[0156] In the formula, a4 is the weight of the energy utilization rate; b4 is the discrimination coefficient of the energy utilization rate; η Emax is the maximum value of the energy utilization rate of each station; η Emin is the minimum value of the energy utilization rate of each station; Δη E = η E - η' E , Δη E is the same period change value of the energy utilization rate of the current period and the previous year, η' E is the energy utilization rate of the previous year; Δη Emax is the maximum value of the energy utilization rate of each station; Δη Emin is the minimum value of the energy utilization rate of each station.

[0157] For the equipment availability, the corresponding production index score is calculated using the following formula:

[0158]

[0159] In the formula, a6 is the weight of the current equipment availability score; b6 is the discrimination coefficient of the equipment availability score; R max is the maximum value of the equipment availability of each station; R min is the minimum value of the equipment availability of each station; ΔR = R - R', ΔR is the same period change value of the current equipment availability and last year's same period, R' is the equipment availability of last year's same period; ΔR max is the maximum value of the same period change of the equipment availability of each station; ΔR min is the minimum value of the same period change of the equipment availability of each station.

[0160] For the average fault recovery time, before calculating the production index score, the average value T h24 of each time of the fault recovery time of each unit exceeding 24h in the statistical period is scored using the formula.

[0161]

[0162] In the formula, T gsi24 is the start time of the shutdown of the i-th unit whose fault recovery time exceeds 24h; T gdi24 is the recovery time of the shutdown of the i-th unit whose fault recovery time exceeds 24h; q 24 is the total number of units whose fault recovery time exceeds 24h in the statistical period.

[0163] Based on the scoring result, the production index score is further calculated using the following formula:

[0164]

[0165] In the formula, a7 is the weight of the current average fault recovery time score; b7 is the discrimination coefficient of the average fault recovery time score; T h24max is the maximum value of the average fault recovery time of each station; T h24min is the minimum value of the average fault recovery time of each station; ΔT h24 = T h24 - T' h24 , ΔT h24 is the same period change value of the current average fault recovery time and last year's same period, T' h24 is the average fault recovery time of last year's same period; ΔT h24max is the maximum value of the same period change of the average fault recovery time of each station; ΔT h24min is the minimum value of the same period change of the average fault recovery time of each station.

[0166] For the average post-maintenance trouble-free time, the corresponding production index score is calculated using the following formula:

[0167]

[0168] In the formula, a8 is the weight of the current average post-maintenance trouble-free time score; b8 is the discrimination coefficient of the average post-maintenance trouble-free time score; T wmax is the maximum value of the average post-maintenance trouble-free time of each station; T wmin is the minimum value of the average post-maintenance trouble-free time of each station; ΔT w = T w - T' w , ΔT w is the same-period change value of the current average post-maintenance trouble-free time compared with the same period last year, T' w is the average post-maintenance trouble-free time of the same period last year; ΔT wmax is the maximum value of the same-period change of the average post-maintenance trouble-free time of each station; ΔT wmin is the minimum value of the same-period change of the average post-maintenance trouble-free time of each station.

[0169] For the average post-maintenance trouble-free time, the corresponding production index score is calculated using the following formula:

[0170]

[0171] In the formula, a9 is the weight of the current average post-maintenance trouble-free time score; b9 is the discrimination coefficient of the average post-maintenance trouble-free time score; F tmax is the maximum value of the average post-maintenance trouble-free time of each station; F tmin is the minimum value of the average post-maintenance trouble-free time of each station; ΔF t = F t - F' t , ΔF t is the same-period change value of the current average post-maintenance trouble-free time compared with the same period last year, F' t is the average post-maintenance trouble-free time of the same period last year; ΔF tmax is the maximum value of the same-period change of the average post-maintenance trouble-free time of each station; ΔF tmin is the minimum value of the same-period change of the average post-maintenance trouble-free time of each station.

[0172] For the average post-maintenance trouble-free time, the corresponding production index score is calculated using the following formula:

[0173]

[0174] In the formula, a 10 is the weight of the current average post-maintenance trouble-free time score; b 10 is the discrimination coefficient of the average post-maintenance trouble-free time score; T tmaxT is the maximum value of the average downtime of each station in the region; T tmin T is the minimum value of the average downtime of each station in the region; T t T = T t T = T t T = T t T is the year-on-year change value of the average downtime of each station in the region; T t T is the average downtime of each station in the region in the previous year; T tmax T is the maximum value of the year-on-year change of the average downtime of each station in the region; T tmin T is the minimum value of the year-on-year change of the average downtime of each station in the region.

[0175] It should be noted that the above weight can be determined according to actual conditions, for example, it can be 70%, and in other embodiments, other values can also be selected. For the differentiation coefficient, it is used to adjust the benchmark score, that is, to make the calculated benchmark score above a certain score, for example, 50 points. In the present embodiment, the value of the differentiation coefficient is 3.

[0176] In addition to the above indicators, the reliability type score indicators also include: platform communication interruption rate, defect frequency, and problem handling timeliness. The production index score corresponding to the platform communication interruption rate is determined based on the current platform communication interruption rate and the minimum value of the platform communication interruption rate of each new energy station. Therefore, the platform communication interruption rate is calculated using the following formula:

[0177]

[0178] In the formula, C 1min is the minimum value of the platform communication interruption rate of each station.

[0179] The production index score corresponding to the defect frequency is determined based on the statistical value of the defect frequency. Different formulas are used to calculate different statistical periods:

[0180] S 111 = max(50-10N, 0)

[0181] S 112 = max(50-5N, 0)

[0182] S 113 = max(50-5N, 0)

[0183] S 114 = max(50-N, 0)

[0184] In the formula, S 111 represents the quarterly score of the station, S 112 represents the annual score of the station, S 113 represents the monthly score of the region, and S 114N represents the number of defects in the corresponding period.

[0185] The production index score corresponding to the problem processing timeliness is determined based on the problem processing timeliness of the current period and the maximum value of the problem processing timeliness of each new energy station. Thus, the problem processing timeliness is calculated using the following formula:

[0186]

[0187] In the formula, C 2max is the maximum value of the problem processing timeliness of each station.

[0188] Step S204, determining the operation and maintenance level of each new energy station according to the production index score of each new energy station.

[0189] Specifically, the above step S204 includes:

[0190] Step S2041, determining the ranking, single index score rate and total index score of each new energy station according to the production index score of each new energy station; wherein for each new energy station, which includes multiple production index scores, all production index scores can be added to obtain the total index score of the new energy station. Then, all new energy stations in the region are ranked based on the total index score of each new energy station, and the higher the score, the higher the ranking. For the single index score rate, if the full score is one hundred, the score of the single index is directly divided by 100 to obtain the corresponding score rate; if the full score is not one hundred, it is first converted to one hundred, and then divided by 100, for example, the full score is 150, the score is first multiplied by 2 / 3, and then divided by 100, so as to obtain the score rate.

[0191] Step S2042, evaluating the new energy station whose ranking meets the first preset condition and whose single index score rate meets the second preset condition as A level.

[0192] Step S2043, evaluating the new energy station whose ranking meets the third preset condition and whose single index score rate meets the fourth preset condition or the new energy station whose ranking meets the first preset condition and whose single index score rate does not meet the second preset condition as B level.

[0193] Step S2044, evaluating the new energy station whose ranking meets the fifth preset condition or the new energy station whose ranking meets the third preset condition and whose single index score rate does not meet the fourth preset condition or the new energy station not connected to the preset system as C level.

[0194] Step S2045, evaluating the new energy station whose ranking meets the sixth preset condition and whose total index score meets the seventh preset condition or the new energy station that occurs a preset fault as D level.

[0195] In actual application, the first to seventh preset conditions can be determined according to actual conditions. In the embodiment, the first to seventh preset conditions are determined in the following manner: new energy stations ranked in the top 10% and with a single index score rate of no less than 85% are rated as A level. Those ranked in the top 10%-50% and with a single index score rate of no less than 75%, or those ranked in the top 10% and not meeting the A level condition, are rated as B level. Those ranked in the top 50%-90%, or those ranked in the top 50% and not meeting the B level condition, or stations not connected to the benchmark system, are rated as C level. Those ranked in the last 10% and with a score of less than 800 points, or those having device accidents such as wind turbine runaway, tower collapse, blade fracture, fire, main transformer damage, etc. in the evaluation quarter or year, or those having power grid accidents caused by inadequate work of wind and light stations, or those having larger and above hidden dangers not eliminated on time, or those having data reporting with false information, are rated as D level.

[0196] In an optional embodiment, the step S204 further comprises: determining a monthly operation and maintenance level, a quarterly operation and maintenance level and an annual operation and maintenance level of each new energy station according to the production index score of each new energy station; and calculating a regional total score by weighting the production index score of each new energy station and the installed capacity of each new energy station.

[0197] Specifically, when the score index value of the period includes a monthly score index value, a quarterly score index value and an annual score index value, the monthly operation and maintenance level, the quarterly operation and maintenance level and the annual operation and maintenance level of each new energy station can be calculated based on the above steps S2041 to S2045 respectively; in addition, the regional total score is calculated by weighting the total score of the single station index through the installed capacity of the station.

[0198] In the present application, a comprehensive scoring mode of a double-layer architecture of basic indexes and score indexes is proposed. The operation of the new energy station is first calculated based on the basic indexes to determine the objective operation state, and then the equipment energy efficiency and reliability are calculated based on the basic indexes to generate a series of score indexes for supporting the calculation of the final score. The production index score corresponding to the score index is calculated by weighting two parts, including a trend index obtained by comparing with the historical operation state and a ranking index obtained by comparing with the output state of other units. The final score is obtained by averaging the two parts of scores according to their own weights, which reduces the influence of inconsistent operation conditions on the assessment of the output state of the wind turbine. Each production index score is finally summarized according to its own weight. The weight can be adjusted according to the management subject demand to complete the personalization of new energy operation benchmarking management and comprehensively improve the benchmarking level of new energy operation management.

[0199] As a specific application embodiment of an embodiment of the present application, taking a new energy station as a wind power station as an example, the new energy station operation and maintenance level rating method is explained as follows:

[0200] S1, obtain the SCADA data of the target wind power station, form the full amount of data of the wind power equipment, and store the data according to the hierarchical relationship of the region (province), station and unit.

[0201] S2, first calculate the basic indexes, confirm the resource indexes, power generation indexes, power loss indexes and maintenance time indexes of the evaluated new energy unit, clearly define the related indexes and units, and determine the statistical period. The basic indexes are only used as basic data and do not participate in scoring.

[0202] S3, calculate the resource-based indexes, and the specific calculation formula is shown in the above formula.

[0203] S4, calculate the power-based indexes, and the specific calculation formula is shown in the above formula.

[0204] S5, calculate the power loss-based indexes, and the specific calculation formula is shown in the above formula.

[0205] S6, calculate the maintenance time-based indexes, and the specific calculation formula is shown in the above formula.

[0206] S7, determine the scoring indexes, which are the core indexes for calculating the final score, including the equipment energy efficiency index and the equipment reliability index of operation and maintenance. The related index definitions, units and statistical periods need to be determined, and the calculation is based on the basic indexes.

[0207] S8, calculate the equipment energy efficiency-based scoring indexes, and the specific calculation formula is shown in the above formula.

[0208] S9, calculate the equipment reliability-based scoring indexes, and the specific calculation formula is shown in the above formula.

[0209] S10, calculate the wind power equipment energy efficiency-based production index score, and the specific calculation formula is shown in the above formula.

[0210] S11, calculate the wind power equipment reliability-based production index score, and the specific calculation formula is shown in the above formula.

[0211] S12, the production index score is calculated by using a weighted average method or a direct summation method to obtain a final score, i.e., an index total score, which determines the final rating of the station, and the index total score comprehensively considers the current index completion value level, the ranking in the full-quantity equipment, and the same period change. The total score of a single station is set to 1000 points, and the monthly and annual wind power production index completion is evaluated and scored; the total score of a single region is set to 100 points, and the regional total score is calculated by weighting the station installed capacity according to the evaluation score of a single station.

[0212] S13, station rating. The wind and light station production index completion is evaluated and rated quarterly and annually and is reported, and the index evaluation level is divided into four levels from high to low, i.e., A (excellent), B (good), C (general), and D (poor), and A, B, and C must meet the corresponding necessary conditions. Due to the particularity of the offshore wind power operation window period, the offshore wind power station index evaluation and rating work is carried out separately from the land wind power station. The wind and light stations are the same, and the wind power and photovoltaic are evaluated and rated according to the independent station.

[0213] S14, the wind power station production index evaluation score ranking is in the top 10%, and the single index score rate is not less than 85%, which is rated as A.

[0214] S15, the wind power station production index evaluation score ranking is in the top 10%-50%, and the single index score rate is not less than 75%, or the ranking is in the top 10% and does not meet the A level condition, which is rated as B.

[0215] S16, the wind power station production index evaluation score ranking is in the top 50%-90%, or the ranking is in the top 50% and does not meet the B level condition, or the station is not connected to the benchmark system, which is rated as C.

[0216] S17, the wind power station production index evaluation score ranking is in the last 10% and the score is below 800 points, or in the evaluation quarter and year, the wind turbine flying car, tower overturning, blade fracture, fire, main transformer damage, and other equipment accidents occur, or the power grid accident occurs due to the lack of wind power station operation and maintenance, or the larger and above hidden dangers are not eliminated on time, or the data reporting exists fraud, which is rated as D.

[0217] S18, the monthly score is evaluated and scored before the 10th of each month, and the wind power production index of each direct unit is evaluated and scored, and the wind power production index of each wind power station is evaluated and rated before the 15th of the first month of each quarter and year.

[0218] S19, according to the evaluation results, for the index score of the region, or the wind power station rated as D level to inform, interview, special supervision and other measures to strengthen management, requires the relevant units to develop rectification scheme, clear rectification measures, strengthen the implementation of strength, improve the wind power production management level.

[0219] In this embodiment, a new energy station operation and maintenance level rating device is also provided, which is used to realize the above-mentioned embodiments and preferred embodiments, and has been described above. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware is also possible and is contemplated.

[0220] The embodiment provides a new energy station operation and maintenance level rating device, as shown in the following Figure 2 , comprising:

[0221] The data acquisition module 21 is configured to acquire operation data of a plurality of new energy stations in the region.

[0222] The score index calculation module 22 is configured to calculate a score index value of each new energy station at the current period based on the operation data, wherein the score index value includes an energy efficiency type score index value and a reliability type score index value.

[0223] The production index score calculation module 23 is configured to calculate a production index score of each new energy station based on the score index value of each new energy station at the current period, a change value of the current score index value relative to a historical score index value, a maximum value and a minimum value of the score index value of each new energy station, and a corresponding change value.

[0224] The rating module 24 is configured to determine an operation and maintenance level of each new energy station according to the production index score of each new energy station.

[0225] The further function description of each module is the same as the corresponding embodiment described above, and will not be repeated here.

[0226] The embodiment of the present application also provides a computer device with the new energy station operation and maintenance level rating device shown in the above Figure 2 .

[0227] Please refer to Figure 3 , Figure 3 is a structural schematic diagram of a computer device provided by an optional embodiment of the present application, as shown in the following Figure 3As shown, the computer device includes one or more processors 10, memory 20, and interfaces 30 for the various components to communicate with one another. The various components communicate through the use of an interconnection network 100. Although not shown, various components could be connected to the interconnection network 100 through a peripheral component interconnect (PCI) bridge, PCI express (PCIe) bridge 101, or uses any of several available technologies. Figure 3 The processor 10 is used in the embodiments below as an example.

[0228] The processor 10 can be a central processing unit, a network processor, or a combination thereof. The processor 10 can further include a hardware chip. The hardware chip can be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device can be a complex programmable logic device, a field programmable logic device, a general array logic, or any combination thereof.

[0229] The memory 20 stores instructions that can be executed by the at least one processor 10, so that the at least one processor 10 can execute the method shown in the above embodiments.

[0230] The memory 20 can include a program storage area and a data storage area. The program storage area can store an operating system, application programs required by at least one function, and the like. The data storage area can store data created according to the use of the computer device, such as the display of a small program landing page, and the like. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some alternative embodiments, the memory 20 can optionally include a memory that is remotely arranged with respect to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0231] The memory 20 can include a volatile memory, such as a random access memory, and can also include a non-volatile memory, such as a flash memory, a hard disk, or a solid state disk. The memory 20 can also include a combination of the above types of memories.

[0232] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or communication networks.

[0233] The embodiments of the present application further provide a computer readable storage medium, and the method according to the embodiments of the present application can be implemented in hardware, firmware, or recorded in a storage medium, or stored in a remote storage medium or a non-transitory machine readable storage medium and downloaded to a local storage medium through network, so that the method described herein can be processed by such software on a storage medium using a general purpose computer, a special purpose processor, or programmable or special hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid state disk, etc. Further, the storage medium can also include a combination of the above-mentioned memories. It can be understood that the computer, the processor, the microprocessor controller, or the 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 the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0234] Part of the present application can be applied as a computer program product, for example, computer program instructions, when executed by a computer, through the operation of the computer, the method and / or technical solutions according to the present application can be invoked or provided. Those skilled in the art should understand that the form of computer program instructions in a computer readable medium includes but is not limited to source files, executable files, installation package files, etc. Correspondingly, the way of computer program instructions executed by computer includes but is not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Here, the computer readable medium can be any available computer readable storage medium or communication medium accessible to the computer.

[0235] Although the embodiments of the present application are described in conjunction with the accompanying drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. A new energy station operation and maintenance level rating method, characterized in that, The method comprises: acquiring operation data of a plurality of new energy plant stations in a region; calculating a score indicator value of each new energy plant station based on the operation data, the score indicator value comprising an energy efficiency type score indicator value and a reliability type score indicator value; calculating a production indicator score of each new energy plant station based on the score indicator value of each new energy plant station, a change value of the score indicator value relative to a historical score indicator value, a maximum value and a minimum value of the score indicator value of each new energy plant station, and corresponding change values; determining an operation and maintenance level of each new energy plant station according to the production indicator score of each new energy plant station; the energy efficiency type score indicator comprises an energy efficiency loss rate, a power prediction accuracy rate, a utilization hour relative research deviation rate, and an energy utilization rate; the reliability type score indicator comprises an equipment availability rate, an average fault recovery time, an average fault-free time after maintenance, a unit average downtime, and a unit average downtime; the production indicator score corresponding to the energy efficiency loss rate, the average fault recovery time, the average fault-free time after maintenance, the unit average downtime, and the unit average downtime is calculated using the following formula: the production indicator score corresponding to the power prediction accuracy rate, the utilization hour relative research deviation rate, the energy utilization rate, and the equipment availability rate is calculated using the following formula: In the formula, S represents a production index score, represents a weight of a score index value, represents a discrimination coefficient of a score index value, represents a current score index value, represents a maximum value of a score index value of each new energy station, represents a minimum value of a score index value of each new energy station, represents a change value of a current score index value relative to a historical score index value, represents a change value of a maximum value of a score index value of each new energy station, represents a change value of a minimum value of a score index value of each new energy station, represents a standard score corresponding to a score index; determining an operation and maintenance level of each new energy plant station according to the production indicator score of each new energy plant station, comprising: determining a ranking, an individual indicator score rate, and an indicator total score of each new energy plant station according to the production indicator score of each new energy plant station; ranking new energy plant stations that meet a first preset condition in ranking and an individual indicator score rate that meets a second preset condition as A level; ranking new energy plant stations that meet a third preset condition in ranking and an individual indicator score rate that meets a fourth preset condition or new energy plant stations that meet the first preset condition in ranking and an individual indicator score rate that does not meet the second preset condition as B level; ranking new energy plant stations that meet a fifth preset condition in ranking or new energy plant stations that meet the third preset condition in ranking and an individual indicator score rate that does not meet the fourth preset condition or new energy plant stations that are not connected to a preset system as C level; ranking new energy plant stations that meet a sixth preset condition in ranking and an indicator total score that meets a seventh preset condition or new energy plant stations that have a preset fault as D level; the score indicator value comprises a monthly score indicator value, a quarterly score indicator value, and an annual score indicator value, and determining an operation and maintenance level of each new energy plant station according to the production indicator score of each new energy plant station further comprises: determining a monthly operation and maintenance level, a quarterly operation and maintenance level, and an annual operation and maintenance level of each new energy plant station according to the production indicator score of each new energy plant station; calculating a regional total score value by weighting the production indicator score of each new energy plant station and the installed capacity of each new energy plant station.

2. The method of claim 1, wherein, The reliability type score index further includes: platform communication interruption rate, defect times, and problem processing timeliness, the production index score corresponding to the platform communication interruption rate is determined based on the current platform communication interruption rate and the minimum value of platform communication interruption rates of each new energy station; the production index score corresponding to the defect times is determined based on the statistical value of the defect times; the production index score corresponding to the problem processing timeliness is determined based on the current problem processing timeliness and the maximum value of problem processing timeliness of each new energy station.

3. The method of claim 1, wherein, The energy efficiency loss rate is determined by the ratio of energy efficiency loss power and expected power generation; the power prediction accuracy rate is determined by predicted power, actual power, and starting capacity; the utilization hour relative research deviation rate is determined by actual power generation, rated capacity, and research utilization hours; and the energy utilization rate is determined by the ratio of actual power generation and expected power generation.

4. The method of claim 1, wherein, The platform communication interruption rate is determined by the number of units accessing the platform, communication interruption time, and calendar time; the equipment availability rate is determined by the total time of unit available state and communication normal events; the average fault recovery time is determined by the total number of faults and the start time and recovery time of each unit fault downtime; the average fault-free time after maintenance is determined by the total number of maintenance and the end time of each unit maintenance downtime, the first fault downtime start time after maintenance; the unit downtime number is determined by the number of units and the number of downtime of each unit; the unit downtime time is determined by the number of units and the downtime of each unit; the defect times are determined by the number of times that the new energy station fault exceeds the preset time; and the problem processing timeliness is determined by the number of units that have been solved, the number of problem units, and the number of hours used to solve the problem.

5. A new energy station operation and maintenance level rating device, characterized in that, The device comprises: a data acquisition module configured to acquire operation data of a plurality of new energy stations in a region; a score index calculation module configured to calculate a current score index value of each new energy station based on the operation data, wherein the score index value comprises an energy efficiency type score index value and a reliability type score index value; a production index score calculation module configured to calculate a production index score of each new energy station based on the current score index value of each new energy station, a change value of the current score index value relative to a historical score index value, a maximum value and a minimum value of score index values of each new energy station, and corresponding change values; a rating module configured to determine an operation and maintenance level of each new energy station according to the production index score of each new energy station; the energy efficiency type score index comprises: energy efficiency loss rate, power prediction accuracy rate, utilization hour relative research deviation rate, and energy utilization rate; and the reliability type score index comprises: equipment availability rate, average fault recovery time, average fault-free time after maintenance, unit downtime number, and unit downtime time; the production index scores corresponding to the energy efficiency loss rate, average fault recovery time, average fault-free time after maintenance, unit downtime number, and unit downtime time are calculated using the following formula: the production index scores corresponding to the power prediction accuracy rate, utilization hour relative research deviation rate, energy utilization rate, and equipment availability rate are calculated using the following formula: In the formula, S represents a production index score, represents a weight of a score index value, represents a discrimination coefficient of a score index value, represents a current score index value, represents a maximum value of a score index value of each new energy station, represents a minimum value of a score index value of each new energy station, represents a change value of a current score index value relative to a historical score index value, represents a change value of a maximum value of a score index value of each new energy station, represents a change value of a minimum value of a score index value of each new energy station, represents a standard score corresponding to a score index; determining the operation and maintenance level of each new energy station according to the production index score of each new energy station comprises: According to the production index score of each new energy station, the ranking, single index score rate and total index score of each new energy station are determined; The new energy station whose ranking meets the first preset condition and whose single index score rate meets the second preset condition is rated as A level; The new energy station whose ranking meets the third preset condition and whose single index score rate meets the fourth preset condition or whose ranking meets the first preset condition and whose single index score rate does not meet the second preset condition is rated as B level; The new energy station whose ranking meets the fifth preset condition or whose ranking meets the third preset condition and whose single index score rate does not meet the fourth preset condition or the new energy station not connected to the preset system is rated as C level; The new energy station whose ranking meets the sixth preset condition and whose total index score meets the seventh preset condition or the new energy station having a preset fault is rated as D level; The current score index value includes monthly score index value, quarterly score index value and annual score index value, the operation and maintenance level of each new energy station is determined according to the production index score of each new energy station, and the operation and maintenance level of each new energy station further includes: The monthly operation and maintenance level, quarterly operation and maintenance level and annual operation and maintenance level of each new energy station are determined according to the production index score of each new energy station. The regional total score value is calculated according to the production index score of each new energy station and the installed capacity of each new energy station.

6. A computer device, comprising: It comprises: A memory and a processor, which are communicatively connected, the memory stores computer instructions, and the processor executes the computer instructions to perform the new energy station operation and maintenance level rating method in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for making a computer execute the new energy station operation and maintenance level rating method in any one of claims 1 to 4.

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