Generator set operation state determination method and device and electronic equipment

Abstract

The invention discloses a method and device for determining the running state of a generator set and electronic equipment. The method comprises the steps that a generator set running data set is acquired; calculating index values of a plurality of preset energy efficiency indexes of the reference generator set and the to-be-evaluated generator set based on the generator set operation data set; determining the membership of each preset energy efficiency index corresponding to the to-be-evaluated generator set based on a preset membership function and the index values corresponding to the reference generator set and the to-be-evaluated generator set; determining the index weight of each preset energy efficiency index corresponding to the to-be-evaluated generator set based on the relative importance degree among the plurality of preset energy efficiency indexes; and based on the index weight and the membership degree of each preset energy efficiency index corresponding to the to-be-evaluated generator set, determining the operation state of the to-be-evaluated generator set. Through the method, the problem that various evaluation intervals are too large due to the fact that the reference value is too ideal can be avoided, and the operation state of the generator set can be determined more accurately and reliably.

Description

Technical Field

[0001] The present application relates to the field of renewable energy power generation technology, and in particular to a method, device and electronic equipment for determining the operating status of a generator set. Background Art

[0002] Wind turbines work under alternating loads for a long time and in a harsh working environment, which makes it inevitable for the units to fail during operation, resulting in a decline in unit performance and reduced power generation. As the operating time increases, the reliability of wind turbines is also declining, which increases the possibility of failure, increases operating and maintenance costs, reduces the economic efficiency of wind turbines, and even has a certain impact on their safety. Therefore, it is very important to perform performance evaluation on wind turbines to understand the operating status of the units.

[0003] At present, in the energy efficiency evaluation method of wind turbines, the membership function of each energy efficiency evaluation index is often constructed through the theoretical values ​​specified in the unit design manual, and the unit energy efficiency is determined by the membership function. Due to the complexity of the actual working conditions of wind turbines, even the energy efficiency indicators of new units in the early stage of commissioning may not reach the highest energy efficiency rating. In addition, the unreasonable membership function may lead to similar energy efficiency evaluation results for units with significantly different energy efficiency states, making it impossible for operation and maintenance personnel to intuitively obtain the energy efficiency degradation of each unit.

[0004] Currently, no effective solution has been proposed to the above-mentioned problem of being unable to accurately and reliably determine the operating status of the generator set. Summary of the invention

[0005] The purpose of the embodiments of the present application is to provide a method, device and electronic device for determining the operating status of a generator set, so as to solve the problem that the operating status of a generator set cannot be accurately and reliably determined.

[0006] In order to solve the above technical problems, the first aspect of this specification provides a method for determining the operating state of a generator set, comprising:

[0007] Acquire a generator set operation data set, wherein the generator set operation data set includes operation data of a reference generator set and operation data of a generator set to be evaluated;

[0008] Based on the generator set operation data set, calculating the index values ​​of a plurality of preset energy efficiency indexes of the reference generator set and the generator set to be evaluated;

[0009] Determine the membership of each preset energy efficiency index corresponding to the generator set to be evaluated based on the preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated;

[0010] Based on the relative importance of multiple preset energy efficiency indicators, determine the indicator weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated;

[0011] Based on the indicator weights and memberships of the preset energy efficiency indicators corresponding to the generator set to be evaluated, the operating status of the generator set to be evaluated is determined.

[0012] In some embodiments of the present specification, the operating data of the reference generator set is the operating data of the target generator set in multiple operating time periods that meets the preset conditions, and the operating data of the generator set to be evaluated is the operating data of the target generator set in multiple operating time periods that does not meet the preset conditions; and / or:

[0013] The operating data of the reference generator set is the operating data of the generator set that meets the preset conditions among the operating data of multiple generator sets within the same operating time period, and the operating data of the generator set to be evaluated is the operating data of the generator set that does not meet the preset conditions among the operating data of multiple generator sets within the same operating time period.

[0014] In some embodiments of the present specification, before calculating the index values ​​of a plurality of preset energy efficiency indexes of the reference generator set and the generator set to be evaluated, the method further includes:

[0015] Based on the operation strategy of the generator set, data screening is performed on the operation data in the generator set operation data set;

[0016] The filtered operating data is partitioned into wind speed zones, and the data in each zone is screened for outlier data points to obtain the target operating data set;

[0017] Correspondingly, the index values ​​of a plurality of preset energy efficiency indexes of the reference generator set and the generator set to be evaluated are calculated based on the target operation data set.

[0018] In some embodiments of the present specification, the filtered operating data is partitioned by wind speed, and the data in each interval is screened for outlier data points to obtain a target operating data set, including:

[0019] Partitioning the filtered operating data based on a preset interval width to obtain a plurality of first wind speed intervals;

[0020] Determining a target interval width corresponding to each first wind speed interval based on the number of data points in each first wind speed interval;

[0021] Perform secondary partitioning on the filtered operating data based on the target interval width to obtain multiple second wind speed intervals;

[0022] Adjusting the starting wind speed and the ending wind speed in each second wind speed interval according to the target interval length of each second wind speed interval, and performing three partitions based on the adjusted operating data to obtain a plurality of third wind speed intervals;

[0023] The operating data in each third wind speed interval is screened for outliers, and based on the second wind speed interval corresponding to each third wind speed interval, the starting wind speed and the ending wind speed in each third wind speed interval after the outlier screening are adjusted to obtain the target operating data set.

[0024] In some embodiments of the present specification, the preset energy efficiency index includes at least one of the power standard deviation below the rated wind speed, the power standard deviation above the rated wind speed, the estimated annual power generation, and the power coefficient below the rated wind speed.

[0025] In some embodiments of the present specification, the index values ​​of a plurality of preset energy efficiency indexes corresponding to the reference generator set and / or any one of the generator sets to be evaluated are calculated in the following manner:

[0026] The operating data of the generator set is partitioned into wind speed zones to obtain multiple wind speed intervals;

[0027] Calculate the power standard deviation, average wind speed and average power in each wind speed interval;

[0028] Calculate the mean of the power standard deviations in the wind speed intervals above the rated wind speed as the power standard deviation of the generator set above the rated wind speed, and calculate the mean of the power standard deviations in the wind speed intervals below the rated wind speed as the power standard deviation of the generator set below the rated wind speed;

[0029] Fitting the wind speed data of the generator set to obtain a wind frequency distribution curve of the generator set;

[0030] Determining an estimated annual power generation of the generator set based on the wind frequency distribution curve and average power in multiple wind speed intervals;

[0031] Determine the power coefficient of each wind speed interval based on the average wind speed and average power in each wind speed interval;

[0032] Based on the wind frequency distribution curve of the generator set, determining the wind speed recurrence probability of each wind speed interval below the rated wind speed of the generator set, and determining the power coefficient weight of each wind speed interval based on the wind speed recurrence probability;

[0033] The power coefficient of the generator set below the rated wind speed is determined based on the power coefficient weights and the power coefficients of a plurality of wind speed intervals below the rated wind speed.

[0034] In some embodiments of the present specification, the estimated annual power generation of the reference generator set is also determined by:

[0035] Calculate the average power of the reference generator set in each wind speed interval;

[0036] Fitting the wind speed data of the generator set to be evaluated to obtain a wind frequency distribution curve of the generator set to be evaluated;

[0037] Based on the wind frequency distribution curve of the generator set to be evaluated and the average power of multiple wind speed intervals of the reference generator set, the estimated annual power generation of the reference generator set is determined.

[0038] In some embodiments of the present specification, the estimated annual power generation of the reference generator set is determined by the following formula:

[0039]

[0040] Where AEP represents the estimated annual power generation of the reference generator set, F(V) represents the wind frequency distribution curve of the generator set to be evaluated, and V ave represents the annual average wind speed at the hub height of the generator set to be evaluated, V represents the wind speed of the generator set to be evaluated, and V i,start represents the starting wind speed of the i-th wind speed interval of the generator set to be evaluated, V i,end represents the starting wind speed of the i-th wind speed interval of the generator set to be evaluated, N h Indicates the number of hours in a year, P i,mean represents the average wind speed of the i-th wind speed interval of the reference generator set, and N represents the number of wind speed intervals of the reference generator set and / or the generator set to be evaluated.

[0041] In some embodiments of the present specification, based on a preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated, the membership of each preset energy efficiency index corresponding to the generator set to be evaluated is determined, including:

[0042] Determine the indicator type corresponding to each preset energy efficiency indicator;

[0043] Based on the correlation between the preset indicator type and the preset membership function, determine the target membership function corresponding to each preset energy efficiency indicator, wherein the target membership function includes multiple evaluation levels, a mapping relationship between the membership in each evaluation level and the indicator values ​​of the reference generator set and the generator set to be evaluated, and a relationship between the indicator values ​​of the reference generator set and the generator set to be evaluated corresponding to each mapping relationship;

[0044] Based on the target membership function, the membership matrix corresponding to the generator set to be evaluated is determined, each element in the membership matrix is ​​used to characterize the membership between each preset energy efficiency indicator and each evaluation level, and the membership matrix is ​​used to characterize the membership of multiple preset energy efficiency indicators corresponding to the generator set to be evaluated.

[0045] In some embodiments of the present specification, the indicator type includes a first indicator type, the indicator value of the first indicator corresponding to the first indicator type is proportional to the energy efficiency, and the target membership function of the first indicator is expressed by the following formula:

[0046]

[0047] Among them, μ best (x), μ good (x), μ normal (x) and μ poor (x) represents the membership of the four evaluations of excellent, good, normal and poor, x represents the index value of the generator set to be evaluated, and x ref Represents the index value of the reference generator set.

[0048] In some embodiments of the present specification, the indicator type includes a second indicator type, the indicator value of the second indicator corresponding to the second indicator type is proportional to the energy efficiency, and the target membership function of the second indicator is expressed by the following formula:

[0049]

[0050] Among them, μ best (x), μ good (x), μ normal (x) and μ poor (x) represents the membership of the four evaluations of excellent, good, normal and poor, x represents the index value of the generator set to be evaluated, and x ref Represents the index value of the reference generator set.

[0051] In some embodiments of the present specification, based on the relative importance of multiple preset energy efficiency indicators, determining the indicator weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated includes:

[0052] Based on the relative importance of multiple preset energy efficiency indicators, construct an importance matrix of the multiple preset energy efficiency indicators;

[0053] Multiple eigenvalues ​​of the importance matrix are calculated, and the importance matrix is ​​normalized based on the eigenvector corresponding to the maximum eigenvalue among the multiple eigenvalues ​​to obtain a weight matrix of multiple preset energy efficiency indicators to characterize the indicator weight of each preset energy efficiency indicator.

[0054] In some embodiments of the present specification, based on the indicator weights and the membership degrees of the preset energy efficiency indicators corresponding to the generator set to be evaluated, determining the operating state of the generator set to be evaluated includes:

[0055] The membership matrix of the generator set to be evaluated is multiplied by the weight matrix to obtain a comprehensive evaluation matrix of the preset energy efficiency index of the generator set to be evaluated, so as to evaluate the operating status of the generator set to be evaluated based on the comprehensive evaluation matrix.

[0056] In some embodiments of the present specification, the above method further includes:

[0057] Multiplying the comprehensive evaluation matrix by the transpose of a preset restriction matrix to obtain a quantitative value of a power characteristic evaluation result of the generator set to be evaluated;

[0058] Based on the relationship between the quantitative result corresponding to the restriction matrix and the preset evaluation level and the quantitative value, the evaluation result of the generator set to be evaluated is determined.

[0059] A second aspect of the present specification provides a device for determining the operating state of a generator set, comprising:

[0060] A data acquisition module, used to acquire a generator set operation data set, wherein the generator set operation data set includes operation data of a reference generator set and operation data of a generator set to be evaluated;

[0061] An index calculation module, used to calculate index values ​​of a plurality of preset energy efficiency indexes of the reference generator set and the generator set to be evaluated based on the generator set operation data set;

[0062] A membership determination module, used to determine the membership of each preset energy efficiency index corresponding to the generator set to be evaluated based on a preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated;

[0063] A weight determination module, used to determine the indicator weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated based on the relative importance between multiple preset energy efficiency indicators;

[0064] The state determination module is used to determine the operating state of the generator set to be evaluated based on the indicator weights and membership degrees of each preset energy efficiency indicator corresponding to the generator set to be evaluated.

[0065] The third aspect of this specification provides an electronic device, comprising: a memory and a processor, the processor and the memory are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the steps of the method described in the first aspect.

[0066] A fourth aspect of the present specification provides a computer storage medium, wherein the computer storage medium stores computer program instructions, and when the computer program instructions are executed, the steps of the method described in the first aspect are implemented.

[0067] A fifth aspect of the present specification provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0068] The method, device and electronic device for determining the operating state of a generator set in the embodiments of the present specification obtain a generator set operating data set, wherein the generator set operating data set includes operating data of a reference generator set and operating data of a generator set to be evaluated; based on the generator set operating data set, the index values ​​of multiple preset energy efficiency indicators of the reference generator set and the generator set to be evaluated are calculated; based on the preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated, the membership of each preset energy efficiency indicator corresponding to the generator set to be evaluated is determined; based on the relative importance between multiple preset energy efficiency indicators, the index weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated is determined; based on the index weight and membership of each preset energy efficiency indicator corresponding to the generator set to be evaluated, the operating state of the generator set to be evaluated is determined. Through the above method, the index value of the preset energy efficiency indicator of the reference generator set is obtained based on the operating data of the reference generator set, and the index value of the reference generator set is used as a reference value to calculate the membership of the generator set to be evaluated, which can avoid the problem of large evaluation intervals due to the reference value being too ideal, and thus the operating state of the generator set can be determined more accurately and reliably. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some implementation methods recorded in this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0070] Figure 1 Shown is a schematic diagram of a method for determining the operating state of a generator set provided in an embodiment of this specification;

[0071] Figure 2 Shown is a schematic diagram of a data screening method provided by an embodiment of this specification;

[0072] Figure 3 Shown is a schematic diagram of an indicator value calculation method provided in an embodiment of this specification;

[0073] Figure 4 Shown is a schematic diagram of a method for calculating estimated annual power generation provided in an embodiment of this specification;

[0074] Figure 5FIG. 1 is a schematic diagram of a method for calculating a degree of membership provided in an embodiment of the present specification;

[0075] Figure 6 Shown is a schematic diagram of a device for determining the operating status of a generator set provided in an embodiment of this specification;

[0076] Figure 7 Shown is a schematic diagram of an electronic device provided in an embodiment of this specification. DETAILED DESCRIPTION

[0077] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0078] It should be noted that the user-related information and data involved in the embodiments of this specification are all information and data authorized by the user or fully authorized by relevant parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users or relevant parties to choose to authorize or refuse.

[0079] It should also be noted that in the embodiments of this specification, certain software, components, models and other existing solutions in the industry may be mentioned. They should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0080] The performance evaluation of the generator set is very necessary to understand the operating status of the generator set. The significance of the energy efficiency evaluation of the generator set is as follows:

[0081] 1) Through the energy efficiency evaluation of wind turbines, the operating status of the generator sets can be understood in a timely manner, and accurate overall status information of the units can be provided to the operators, so that the operators can formulate and modify the operation plans in a timely and reasonable manner to ensure the reasonable operation of the power plant.

[0082] 2) Energy efficiency evaluation of generator sets can timely discover certain faults in unit components (for example: power characteristics decreased due to dust attached to blades, gearbox efficiency decreased due to oil temperature and external temperature, etc.), so as to promptly notify maintenance personnel to formulate and modify maintenance plans to prevent further aggravation of faults, thereby avoiding major losses and personal safety accidents.

[0083] 3) Through the energy efficiency evaluation of the generator set, we can understand whether the actual unit meets the corresponding design requirements, thereby providing useful information for the design and manufacturing personnel to further improve the design and perfect the manufacturing process, thereby improving the design and manufacturing level of the unit.

[0084] Energy efficiency assessment is an important work item to ensure the safety of power plant equipment, and is also the basis for subsequent maintenance, life extension or decommissioning decisions.

[0085] At present, the energy efficiency evaluation of generator sets is to determine the energy efficiency of the generator sets by constructing the membership function of each energy efficiency evaluation index based on the theoretical values ​​specified in the unit design manual. Due to the complexity of the actual working conditions of wind turbines and the unreasonable membership function, the energy efficiency evaluation results of units with significantly different energy efficiency states may be similar, making it impossible for operation and maintenance personnel to intuitively obtain the energy efficiency degradation of each unit. The existing energy efficiency evaluation method cannot accurately and reliably determine the operating status of the generator set.

[0086] In order to solve the above problems, the embodiments of the present specification provide a method, device and electronic device for determining the operating status of a generator set, by obtaining a generator set operating data set, the generator set operating data set including the operating data of a reference generator set and the operating data of a generator set to be evaluated; based on the generator set operating data set, the index values ​​of multiple preset energy efficiency indicators of the reference generator set and the generator set to be evaluated are calculated; based on a preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated, the membership of each preset energy efficiency indicator corresponding to the generator set to be evaluated is determined; based on the relative importance between multiple preset energy efficiency indicators, the index weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated is determined; based on the index weight and membership of each preset energy efficiency indicator corresponding to the generator set to be evaluated, the operating status of the generator set to be evaluated is determined.

[0087] In the embodiments of the present specification, the index value of the preset energy efficiency index of the reference generator set is obtained based on the operating data of the reference generator set, and the index value of the reference generator set is used as a reference value to calculate the membership degree of the generator set to be evaluated. This can avoid the problem of various evaluation intervals being too large due to the reference value being too ideal, and thus the operating status of the generator set can be determined more accurately and reliably.

[0088] It can be understood that the above method provided in the present application can be applied to electronic devices, and electronic devices can refer to electronic devices with data calculation, processing and storage capabilities. The electronic device can be a terminal such as a PC (Personal Computer), a tablet computer, a smart phone, a wearable device, an intelligent robot, etc.; it can also be a server. Among them, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0089] The following is an introduction to the method for determining the operating status of the generator set provided in the embodiment of the present application in conjunction with the accompanying drawings. The method provided in the embodiment of this specification can be applied to the evaluation of the operating status of the wind turbine set mentioned in the background technology, and then the preset performance indicators corresponding to the wind turbine set can be the power standard deviation below the rated wind speed, the power standard deviation above the rated wind speed, the estimated annual power generation, and the power coefficient below the rated wind speed. Of course, the above-mentioned wind turbine set is only an example in this specification. The method in the embodiment of this specification can also be applied to the evaluation of the operating status of other generator sets such as photovoltaic generator sets, and then the preset performance indicators and the specific data processing process can be set and adjusted based on the unit category of the corresponding generator set to be evaluated, and this specification will not elaborate on this.

[0090] Figure 1 Shown is a schematic diagram of a method for determining the operating status of a generator set provided in an embodiment of this specification. Although this specification provides method operation steps or device structures as shown in the following embodiments or drawings, the method or device may include more or fewer operation steps or module units after partial merger based on routine or no creative labor. In steps or structures where there is no necessary causal relationship logically, the execution order of these steps or the module structure of the device is not limited to the execution order or module structure shown in the embodiments or drawings of this specification. When the method or module structure described is applied in actual devices, servers or terminal products, it can be executed sequentially or in parallel according to the method or module structure shown in the embodiments or drawings (for example, in an environment of parallel processors or multi-threaded processing, or even in an implementation environment of distributed processing and server clusters). As Figure 1 As shown, the method may include:

[0091] S101: Acquire a generator set operation data set, wherein the generator set operation data set includes operation data of a reference generator set and operation data of a generator set to be evaluated.

[0092] It can be understood that the generator set operation data set may include the operation data of multiple generator sets in the same operation time period, and may also include the operation data of at least one generator set in different operation time periods. Furthermore, the reference generator set may be one of the multiple generator sets in the same operation time period, or may be a generator set in a certain operation time period among multiple operation time periods. Through the embodiments of this specification, various comparison settings such as energy efficiency comparison of different units in the same operation time period and energy efficiency comparison of the same unit in different operation time periods can be performed to obtain the relative energy efficiency of different units and the energy efficiency degradation of the current unit, and then the current energy efficiency status of the generator set can be comprehensively evaluated. In some embodiments of this specification, the data in the generator set operation data set may be SCADA (Supervisory Control And Data Acquisition) data.

[0093] In some embodiments of the present specification, the operating data of the reference generator set may be operating data of the target generator set within multiple operating time periods that meets preset conditions, and the operating data of the generator set to be evaluated may be operating data of the target generator set within multiple operating time periods that does not meet the preset conditions.

[0094] In some embodiments of the present specification, the operating data of the reference generator set may be the operating data of a generator set that meets a preset condition among the operating data of multiple generator sets within the same operating time period, and the operating data of the generator set to be evaluated may be the operating data of a generator set that does not meet the preset condition among the operating data of multiple generator sets within the same operating time period.

[0095] Furthermore, the preset condition may be a threshold range corresponding to the operating data, or an energy efficiency index range. The preset condition may also be set based on other application requirements or application scenarios, etc., and this specification does not impose any restrictions on this.

[0096] In some embodiments of the present specification, the reference generator set may also be a design generator set, and the index values ​​of various preset indicators of the design generator set may be calculated with reference to the operating parameters in the design specification.

[0097] In some embodiments of the present specification, when the generator set is a wind turbine set, the operating data may include at least one of ambient temperature, wind speed, blade pitch angle, unit power, main shaft speed, etc., and the data of multiple time periods may be spliced. When splicing, the data corresponding to the above-mentioned multiple parameters of the same unit at the same time point may be used as one data point.

[0098] S102: Calculating index values ​​of a plurality of preset energy efficiency indexes of the reference generator set and the generator set to be evaluated based on the generator set operation data set.

[0099] It can be understood that the preset performance indicators can be set based on the unit category corresponding to the generator set. For example, when the generator set is a wind generator set, the preset performance indicators can be set based on wind force, wind speed, etc. When the generator set is a photovoltaic generator set, the preset performance indicators can be set based on light intensity, etc. This manual does not limit this.

[0100] S103: Determine the membership of each preset energy efficiency index corresponding to the generator set to be evaluated based on a preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated.

[0101] In some embodiments of the present specification, the preset membership function may include multiple evaluation levels, and the function may include multiple evaluation levels, a mapping relationship between the membership in each evaluation level and the index value of the reference generator set and the generator set to be evaluated, and a relationship between the index values ​​of the reference generator set and the generator set to be evaluated corresponding to each mapping relationship. Exemplarily, the preset membership function may include calculation formulas corresponding to multiple evaluation levels, each evaluation level includes the relationship between the membership of different index intervals and the reference generator set and the generator set to be evaluated, and each index range may be set based on the index value of the reference generator set.

[0102] In some embodiments of the present specification, the preset membership function can also be characterized as a degradation function, which can include multiple mapping relationships between the membership and the index values ​​of the reference generator set and the generator set to be evaluated, and the relationship between the index values ​​of the reference generator set and the generator set to be evaluated corresponding to each mapping relationship. Exemplarily, the preset membership function may include a calculation formula corresponding to the degradation degree, which includes the relationship between the membership of different index intervals and the reference generator set and the generator set to be evaluated, and each index range can be set based on the index value of the reference generator set. In other embodiments, the preset membership function can also be other functions, and those skilled in the art can make design adjustments based on application requirements.

[0103] S104: Based on the relative importance of the plurality of preset energy efficiency indicators, determine the indicator weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated.

[0104] It can be understood that the relative importance can be determined based on expert experience, and the relative importance can be determined to construct a relative importance matrix, and then the indicator weight can be calculated.

[0105] S105: Determine the operating status of the generator set to be evaluated based on the indicator weights and the membership degrees of the preset energy efficiency indicators corresponding to the generator set to be evaluated.

[0106] It can be understood that the energy efficiency evaluation result of the generator set to be evaluated can be determined based on the indicator weights and memberships of each preset energy efficiency indicator corresponding to the generator set to be evaluated, and then based on the energy efficiency evaluation result, the unit operation status information of the generator set to be evaluated can be analyzed. The operation status can include, for example, whether the unit is in reasonable operation, whether a fault occurs, whether the pre-design requirements are met, and whether the unit design needs to be adjusted and improved.

[0107] In some embodiments of the present specification, before calculating the index values ​​of multiple preset energy efficiency indicators of the reference generator set and the generator set to be evaluated, it may also include: based on the operating strategy of the generator set, performing data screening on the operating data in the generator set operating data set; performing wind speed partitioning on the screened operating data, and screening outlier data points for the data in each interval to obtain a target operating data set; and accordingly, calculating the index values ​​of multiple preset energy efficiency indicators of the reference generator set and the generator set to be evaluated based on the target operating data set.

[0108] It is understandable that after obtaining the original operating data of the generator set, the data needs to be screened to remove unreasonable data or data that is likely to cause deviations in the performance evaluation results, so as to improve the accuracy and reliability of the evaluation results.

[0109] In some embodiments of the present specification, taking a wind turbine as an example, the operating data in the generator set operating data set can be screened based on the operating strategy of the wind turbine, and zero power data points, negative power data points, and limited power data points can be removed.

[0110] In some embodiments of this specification, different data screening methods may be used for different wind turbine control strategies. The specific screening principles for a screening may be as follows:

[0111] In the first step, when the wind speed is less than the cut-in wind speed, the data points do not reflect the energy efficiency status of the unit and are all removed.

[0112] In the second step, when the wind speed is between the cut-in wind speed and the rated wind speed, remove the data points where the power is less than or equal to 0.

[0113] In the third step, when the unit is operating normally, the pitch change operation is performed only when the wind speed is greater than the rated wind speed. If the power is less than 0.8 times the rated power, it is considered as the power limit point. Therefore, the data points with a pitch angle greater than 5° and a power less than 0.8 times the rated power can be removed.

[0114] In some embodiments of the present specification, before data screening, the wind speed data may be corrected to standardize the wind speed data to a reference atmospheric density.

[0115] Specifically, since some units are not equipped with pressure sensors, the current air density ρ must first be calculated using the ambient temperature T measured by the temperature sensor and the center altitude z of the unit hub. The current air density can be calculated using the following formula:

[0116]

[0117] Among them, ρ can represent the current air density, T can represent the ambient temperature, and z can represent the center altitude of the unit hub.

[0118] Furthermore, based on the current air density calculated by the above formula and the reference atmospheric density, the wind speed data can be corrected, and the corrected wind speed data can be calculated by the following formula:

[0119]

[0120] Among them, v correct can represent the corrected wind speed data, v can represent the wind speed data to be corrected, ρ correct It can represent the reference atmospheric density. The reference atmospheric density can be 1.225kg / m 3 .

[0121] In the embodiments of the specification, after the operating data is screened once, some discrete data points still exist. These data points may be the speed-up points during the startup process of the unit above the cut-in wind speed, and do not reflect the energy efficiency status of the unit. Therefore, a secondary screening is required.

[0122] refer to Figure 2 As shown, in some embodiments of this specification, the filtered operating data is partitioned by wind speed, and the data in each interval is screened for outlier data points to obtain a target operating data set, which may include:

[0123] S201: Partitioning the filtered operating data based on a preset interval width to obtain a plurality of first wind speed intervals.

[0124] S202: Determine a target interval width corresponding to each first wind speed interval based on the number of data points in each first wind speed interval.

[0125] S203: Perform secondary partitioning on the filtered operating data based on the target interval width to obtain multiple second wind speed intervals.

[0126] S204: adjusting the target interval length of each second wind speed interval to the starting wind speed and the ending wind speed in each second wind speed interval, and performing three partitions based on the adjusted operating data to obtain a plurality of third wind speed intervals.

[0127] S205: Perform outlier screening on the operating data in each third wind speed interval, and adjust the starting wind speed and the ending wind speed in each third wind speed interval after the outlier screening based on the second wind speed interval corresponding to each third wind speed interval, so as to obtain the target operating data set.

[0128] It can be understood that if the operating data after a screening is partitioned directly based on the preset interval width, some useful data may be screened out. Through the above steps S201 to S205, data screening based on wind speed partitioning and data density can be achieved, and outlier data points can be screened out, providing a data basis for subsequent energy efficiency evaluation.

[0129] In some embodiments of this specification, the improved local outlier factor (LOF) algorithm of wind speed partition can be used to perform a secondary screening on the operation data after the primary screening. The specific screening steps are as follows:

[0130] (1) The data is partitioned into wind speed bins Bin1 according to the specified bin width L1;

[0131] (2) Count the number of data points P in each wind speed interval i , extract P max ;

[0132] (3) Based on P max Partition the data again into Bin2, with interval width

[0133] (4) When using the LOF algorithm to filter outliers in each wind speed interval, since there are data points on only one side of the interval boundary, normal data points close to the interval boundary are easily regarded as outliers and filtered out. For example, the starting wind speed of the i-th wind speed interval is V i,start , there is a data point k([v i,start ,p i,k ]), when using the LOF algorithm to count the number of data points in a circle with k as the center and d as the radius, since the wind speed interval does not contain wind speeds less than V i,start The number of data points contained in k points is only half of the normal points, which are easily regarded as outliers. To solve this problem, the starting wind speed V of each interval is i,start Modified to V i,start -0.5L 2,i , end wind speed V i,end Modified to V i,end+0.5L 2,i , partition the data again into Bin3;

[0134] (5) Count the number of data points in each interval. If the number of data points is too small (e.g., less than a preset number threshold), no screening is performed;

[0135] (6) The outlier ratio is set to 5%, and the LOF algorithm is used to screen the data points in each wind speed interval. After the screening is completed, the starting wind speed and the ending wind speed of each interval of Bin3 are adjusted to be consistent with Bin2.

[0136] In some embodiments of the present specification, the preset energy efficiency index may include at least one of a power standard deviation below a rated wind speed, a power standard deviation above a rated wind speed, an estimated annual power generation, and a power coefficient below a rated wind speed.

[0137] refer to Figure 3 As shown, in some embodiments of the present specification, the index values ​​of a plurality of preset energy efficiency indexes corresponding to the reference generator set and / or any one of the generator sets to be evaluated can be calculated in the following manner:

[0138] S301: partitioning the operating data of the generator set into wind speed zones to obtain multiple wind speed intervals.

[0139] S302: Calculate the power standard deviation, average wind speed and average power in each wind speed interval.

[0140] S303: Calculate the mean of the power standard deviations in the wind speed intervals above the rated wind speed as the power standard deviation of the generator set above the rated wind speed, and calculate the mean of the power standard deviations in the wind speed intervals below the rated wind speed as the power standard deviation of the generator set below the rated wind speed.

[0141] S304: Fitting the wind speed data of the generator set to obtain a wind frequency distribution curve of the generator set.

[0142] S305: Determine the estimated annual power generation of the generator set based on the wind frequency distribution curve and the average power in multiple wind speed intervals.

[0143] S306: Determine the power coefficient of each wind speed interval based on the average wind speed and the average power in each wind speed interval.

[0144] S307: Based on the wind frequency distribution curve of the generator set, determine the wind speed recurrence probability of each wind speed interval below the rated wind speed of the generator set, and determine the power coefficient weight of each wind speed interval based on the wind speed recurrence probability.

[0145] S308: Determine the power coefficient of the generator set below the rated wind speed based on the power coefficient weights and the power coefficients of multiple wind speed intervals below the rated wind speed.

[0146] It can be understood that the multiple wind speed intervals obtained by the above-mentioned wind speed partitioning of the operating data of the generator set can be the multiple third wind speed intervals after the aforementioned secondary data screening, or can be the multiple wind speed intervals obtained by directly partitioning the original data based on the preset interval width, or can be the multiple wind speed intervals obtained by wind speed partitioning the operating data after secondary screening based on the preset interval width, etc. Of course, when calculating the index value of the preset energy efficiency index, it is also possible to calculate the index value of each preset energy efficiency index directly based on the original data without performing wind speed partitioning on the operating data, and this manual does not impose any restrictions on this.

[0147] The specific calculation process of each preset performance indicator is introduced below.

[0148] In some embodiments of the present specification, the power standard deviation below the rated wind speed can reflect the degree to which the unit output power is affected by wind turbulence. After data screening and Bin partitioning of the SCADA data, the principal component analysis method can be used for the Bins with wind speed ranges less than the rated wind speed. The power standard deviation in each Bin is calculated by the coordinate values ​​of each data point in the second principal component direction PC2, and finally the average of all Bin standard deviations is calculated as the power standard deviation of the current unit below the rated wind speed.

[0149] In some embodiments of this specification, the power standard deviation above the rated wind speed can reflect the rated power stability of the unit output, and specifically can show the pros and cons of the power control performance of the unit control system, as well as the operation of the unit pitch system. After data screening and Bin partitioning of the SCADA data, the principal component analysis method can be used for the Bins with a wind speed interval greater than the rated wind speed, and the standard deviation of each Bin is calculated by the coordinate value of each data point in the second principal component direction PC2, and finally the average value of all Bin standard deviations is calculated as the power standard deviation above the rated wind speed of the current unit.

[0150] In some embodiments of the present specification, the estimated annual power generation can be calculated based on the power characteristic curve of the generator set, which mainly reflects the size of the power average value in the power characteristic curve, so the estimated annual power generation can directly reflect the power characteristics of the unit. Since the annual power generation is affected by the wind frequency distribution, in order to avoid the difference in annual power generation caused by the difference in wind frequency distribution in different periods, the estimated annual power generation of the reference generator set can be calculated in combination with the wind frequency distribution function of the generator set to be evaluated.

[0151] Specifically, refer to Figure 4As shown, the estimated annual power generation of the reference generator set can also be determined by the following method:

[0152] S401: Calculate the average power of the reference generator set in each wind speed interval.

[0153] S402: Fitting wind speed data of the generator set to be evaluated to obtain a wind frequency distribution curve of the generator set to be evaluated.

[0154] S403: Determine the estimated annual power generation of the reference generator set based on the wind frequency distribution curve of the generator set to be evaluated and the average power of multiple wind speed intervals of the reference generator set.

[0155] Specifically, the Weibull distribution may be used to fit the wind frequency distribution curve of the generator set to be evaluated, and the fitting method is to use the power density method to calculate the size and shape parameters of the Weibull distribution.

[0156] In some embodiments of the present specification, the estimated annual power generation of the reference generator set may be determined by the following formula:

[0157]

[0158] AEP can represent the estimated annual power generation of the reference generator set, F(V) can represent the wind frequency distribution curve of the generator set to be evaluated, and V ave It can represent the annual average wind speed at the hub height of the generator set to be evaluated, V can represent the wind speed of the generator set to be evaluated, and V i,start It can represent the starting wind speed of the i-th wind speed interval of the generator set to be evaluated, V i,end It can represent the starting wind speed of the i-th wind speed interval of the generator set to be evaluated, N h Can represent the number of hours in a year, P i,mean may represent the average wind speed of the i-th wind speed interval of the reference generator set, and N may represent the number of wind speed intervals of the reference generator set and / or the generator set to be evaluated. h You can take 8760.

[0159] For the generator set to be evaluated, the wind frequency distribution curve F(V) can be fitted through the wind speed data in the SCADA system of the generator set, and the power mean value P in each wind speed range can be calculated through the wind speed data and power data in the SCADA system of the generator set. mean , and then calculate the estimated annual power generation of the current unit. That is, the average wind speed of the i-th wind speed interval of the reference generator set in the above formula (3) can be replaced by the average wind speed of the i-th wind speed interval of the generator set to be evaluated, and then the estimated annual power generation of the generator set to be evaluated can be calculated based on the replaced and adjusted formulas (3) and (4).

[0160] In some embodiments of the present specification, when the reference generator set is a design generator set, it can be calculated using the power in the design specification and the wind frequency distribution curve of the generator set to be evaluated.

[0161] In some embodiments of this specification, the power coefficient can characterize the ability of a wind turbine to absorb wind energy. For a wind turbine with variable pitch control, the power coefficient does not have much practical significance because the power remains basically constant above the rated wind speed. The power coefficient of a wind turbine below the rated wind speed truly reflects the design, manufacturing level and operating characteristics of the unit. Due to the different geographical environments and working wind conditions of different units, in order to comprehensively consider the power generation performance of each unit under working wind conditions, the calculation method of the power coefficient below the rated wind speed is as follows:

[0162] (1) Calculate the average wind speed v and average power P in each bin below the rated wind speed, and substitute them into the following formula to calculate the power coefficient:

[0163]

[0164] Among them, C p can represent the power coefficient, ρ can represent the air density, and s can represent the windward surface area of ​​the wind rotor.

[0165] (2) The wind speed data in the unit SCADA system is used to fit the wind frequency distribution curve, and the wind speed recurrence probability of each bin interval below the rated wind speed is calculated and normalized as the weight of the power coefficient.

[0166] (3) Calculate the weighted value of the power coefficient as the power coefficient of the generator set below the rated wind speed.

[0167] refer to Figure 5 As shown, in some embodiments of the present specification, based on a preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated, determining the membership of each preset energy efficiency index corresponding to the generator set to be evaluated may include:

[0168] S501: Determine the indicator type corresponding to each preset energy efficiency indicator.

[0169] S502: Based on the association between the preset indicator type and the preset membership function, determine the target membership function corresponding to each preset energy efficiency indicator, wherein the target membership function includes multiple evaluation levels, a mapping relationship between the membership in each evaluation level and the indicator values ​​of the reference generator group and the generator group to be evaluated, and a relationship between the indicator values ​​of the reference generator group and the generator group to be evaluated corresponding to each mapping relationship.

[0170] S503: Based on the target membership function, determine the membership matrix corresponding to the generator set to be evaluated, each element in the membership matrix is ​​used to characterize the membership between each preset energy efficiency indicator and each evaluation level, and the membership matrix is ​​used to characterize the membership of multiple preset energy efficiency indicators corresponding to the generator set to be evaluated.

[0171] It can be understood that determining the membership function is one of the core tasks of energy efficiency evaluation. The membership function is used to calculate the degree to which each element in the factor set belongs to each element in the evaluation set. The distribution of the membership function mainly includes triangular distribution, ridge distribution, trapezoidal distribution, semi-trapezoidal distribution and normal distribution. Among them, the trapezoidal distribution and semi-trapezoidal distribution are easy to calculate and reasonably distributed, and can be used as the membership function distribution model for wind turbine power characteristic evaluation.

[0172] In some embodiments of this specification, the indicator type may include a first indicator type, and the indicator value of the first indicator corresponding to the first indicator type is proportional to the energy efficiency. Exemplarily, the first indicator may be a high-quality indicator. The target membership function of the first indicator may be expressed by the following formula:

[0173]

[0174]

[0175] Among them, μ best (x), μ good (x), μ normal (x) and μ poor (x) can represent the membership of four evaluations: excellent, good, normal, and poor. x can represent the index value of the generator set to be evaluated. ref It can represent the index value of the reference generator set, and the index in the first index type can be a high-quality index.

[0176] In some embodiments of the present specification, the indicator type may include a second indicator type, and the indicator value of the second indicator corresponding to the second indicator type is proportional to the energy efficiency. Exemplarily, the second indicator may be a low-optimal indicator. The target membership function of the second indicator may be expressed by the following formula:

[0177]

[0178] Among them, μ best (x), μ good (x), μ normal (x) and μ poor (x) can represent the membership of four evaluations: excellent, good, normal, and poor. x can represent the index value of the generator set to be evaluated. refThe index value of the reference generator set may be represented.

[0179] In some embodiments of the present specification, based on the relative importance of multiple preset energy efficiency indicators, determining the indicator weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated may include:

[0180] Based on the relative importance of multiple preset energy efficiency indicators, construct an importance matrix of the multiple preset energy efficiency indicators;

[0181] Multiple eigenvalues ​​of the importance matrix are calculated, and the importance matrix is ​​normalized based on the eigenvector corresponding to the maximum eigenvalue among the multiple eigenvalues ​​to obtain a weight matrix of multiple preset energy efficiency indicators to characterize the indicator weight of each preset energy efficiency indicator.

[0182] It can be understood that the weight represents the importance of each element in the factor set. The larger the weight value of an element, the more important the element is. The main methods for determining the weight matrix include direct experience method, comparative scoring method, etc. Among them, the comparative scoring method is a practical method, which can be used to obtain a relatively reasonable weight matrix. Its basic principle is to compare each element in the factor set (including comparison of the same elements) based on expert experience, determine the relative importance of each element, and score the relative importance. The scoring rules can be referred to Table 1.

[0183] Table 1

[0184]

[0185] The relative importance matrix of each preset energy efficiency indicator can be constructed based on the expert scores, the eigenvector corresponding to the maximum eigenvalue of the matrix can be calculated, and the weight of each preset energy efficiency indicator can be obtained after normalization.

[0186] In some embodiments of the present specification, determining the operating state of the generator set to be evaluated based on the indicator weights and memberships of each preset energy efficiency indicator corresponding to the generator set to be evaluated may include: multiplying the membership matrix of the generator set to be evaluated by the weight matrix to obtain a comprehensive evaluation matrix of the preset energy efficiency indicators of the generator set to be evaluated, so as to evaluate the operating state of the generator set to be evaluated based on the comprehensive evaluation matrix. Specifically, the membership matrix may be multiplied by the transpose of the weight matrix to obtain the comprehensive evaluation matrix.

[0187] In some embodiments of the present specification, after obtaining the comprehensive evaluation matrix, the comprehensive evaluation matrix can also be multiplied by the transpose of the preset restriction matrix to obtain the quantitative value of the power characteristic evaluation result of the generator set to be evaluated; based on the relationship between the quantitative result corresponding to the restriction matrix and the preset evaluation level and the quantitative value, the evaluation result of the generator set to be evaluated is determined. Exemplarily, the limit matrix can be: θ = [0.8 0.6 0.4 0.2]. For the restriction matrix (assuming that the quantitative value of the evaluation result is): if x ≥ 0.8, the evaluation result is "excellent"; if 0.6 ≤ x < 0.8, the evaluation result is "good"; if 0.4 ≤ x < 0.6, the evaluation result is "general"; if x < 0.4, the evaluation result is "poor".

[0188] The above calculation process is further introduced below with reference to specific examples.

[0189] Assume that based on expert experience, the following importance matrix is ​​constructed:

[0190]

[0191] Calculate the eigenvalues ​​of the matrix and extract the largest eigenvalue λ max =4.0875, calculate the eigenvector of the eigenvalue and normalize it to get the weight matrix as follows:

[0192] γ=[0.0668 0.3087 0.1495 0.4750]

[0193] Assume that the membership matrix after calculation by the membership function is as follows:

[0194]

[0195] By multiplying the membership matrix with the transpose of the weight matrix in 5, the comprehensive evaluation matrix of the energy efficiency sub-indicator can be obtained as follows: [0.0522 0.4067 0.2533 0.2877]

[0197] By multiplying the comprehensive evaluation matrix of the energy efficiency sub-indicator with the transpose of the limit matrix, the quantitative value of the power characteristic evaluation result, 0.4447, can be obtained.

[0198] In the embodiments of this specification, the SCADA data of the wind turbine is first screened to remove invalid data that cannot reflect the energy efficiency status of the unit; then the preset energy efficiency indicators are calculated, including four indicators: power standard deviation, power standard deviation above rated wind speed, estimated annual power generation, and power coefficient below rated wind speed, and the influence of wind speed distribution on the estimated annual power generation quantum indicator is reduced by fitting the wind frequency distribution; then, according to the indicator characteristics, it is divided into two categories: high-quality and low-quality, and the membership functions of the two categories of indicators are constructed respectively; then, the relative importance matrix of the indicators is constructed through expert experience, and the relative weights between the indicators are calculated; finally, through matrix synthesis and the definition of limit matrix, the energy efficiency evaluation of each energy efficiency sub-indicator and the overall unit is realized.

[0199] Based on the above-mentioned method for determining the operating status of the generator set, one or more embodiments of this specification also provide a device for determining the operating status of the generator set. The device may include a device (including a distributed system), software (application), module, plug-in, server, client, etc. using the method described in the embodiment of this specification and a device combined with necessary implementation hardware. Based on the same innovative concept, the device in one or more embodiments provided in the embodiment of this specification is as described in the following embodiments. Since the implementation scheme and method of the device to solve the problem are similar, the implementation of the specific device in the embodiment of this specification can refer to the implementation of the aforementioned method, and the repetitions will not be repeated. As used below, the term "unit" or "module" can implement a combination of software and / or hardware of predetermined functions. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived. Figure 6 FIG. 1 is a schematic diagram of a device for determining the operating status of a generator set provided in an embodiment of this specification. Figure 6 As shown, the generator set operating state determination device 600 may include:

[0200] The data acquisition module 601 is used to acquire a generator set operation data set, wherein the generator set operation data set includes operation data of a reference generator set and operation data of a generator set to be evaluated.

[0201] The index calculation module 602 is used to calculate the index values ​​of multiple preset energy efficiency indexes of the reference generator set and the generator set to be evaluated based on the generator set operation data set.

[0202] The membership determination module 603 is used to determine the membership of each preset energy efficiency index corresponding to the generator set to be evaluated based on a preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated.

[0203] The weight determination module 604 is used to determine the indicator weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated based on the relative importance of multiple preset energy efficiency indicators.

[0204] The state determination module 605 is used to determine the operating state of the generator set to be evaluated based on the indicator weights and memberships of the preset energy efficiency indicators corresponding to the generator set to be evaluated.

[0205] In some embodiments of the present specification, the operating data of the reference generator set is the operating data of the target generator set in multiple operating time periods that meets the preset conditions, and the operating data of the generator set to be evaluated is the operating data of the target generator set in multiple operating time periods that does not meet the preset conditions; and / or:

[0206] The operating data of the reference generator set is the operating data of the generator set that meets the preset conditions among the operating data of multiple generator sets within the same operating time period, and the operating data of the generator set to be evaluated is the operating data of the generator set that does not meet the preset conditions among the operating data of multiple generator sets within the same operating time period.

[0207] In some embodiments of the present specification, the device may also include a data screening module, which is used to: based on the operating strategy of the generator set, screen the operating data in the generator set operating data set; partition the screened operating data by wind speed, and screen the data in each interval for outlier data points to obtain a target operating data set; accordingly, calculate the index values ​​of multiple preset energy efficiency indicators of the reference generator set and the generator set to be evaluated based on the target operating data set.

[0208] In some embodiments of the present specification, the data screening module performs wind speed partitioning on the screened operating data and screens outlier data points on the data in each interval to obtain a target operating data set, which can be used to: partition the screened operating data based on a preset interval width to obtain multiple first wind speed intervals; determine the target interval width corresponding to each first wind speed interval based on the number of data points in each first wind speed interval; perform secondary partitioning on the screened operating data based on the target interval width to obtain multiple second wind speed intervals; adjust the starting wind speed and the ending wind speed in each second wind speed interval according to the target interval length of each second wind speed interval, and perform tertiary partitioning based on the adjusted operating data to obtain multiple third wind speed intervals; perform outlier screening on the operating data in each third wind speed interval, and adjust the starting wind speed and the ending wind speed in each third wind speed interval after the outlier screening based on the second wind speed interval corresponding to each third wind speed interval to obtain the target operating data set.

[0209] In some embodiments of the present specification, the preset energy efficiency index includes at least one of the power standard deviation below the rated wind speed, the power standard deviation above the rated wind speed, the estimated annual power generation, and the power coefficient below the rated wind speed.

[0210] In some embodiments of the present specification, the index values ​​of a plurality of preset energy efficiency indexes corresponding to the reference generator set and / or any one of the generator sets to be evaluated are calculated in the following manner:

[0211] Perform wind speed partitioning on the operating data of the generator set to obtain multiple wind speed intervals; calculate the power standard deviation, average wind speed and average power of each wind speed interval; calculate the mean of the power standard deviation of wind speed intervals above the rated wind speed as the power standard deviation of the generator set above the rated wind speed, and calculate the mean of the power standard deviation of wind speed intervals below the rated wind speed as the power standard deviation of the generator set below the rated wind speed; fit the wind speed data of the generator set to obtain the wind frequency distribution curve of the generator set; determine the estimated annual power generation of the generator set based on the wind frequency distribution curve and the average power of multiple wind speed intervals; determine the power coefficient of each wind speed interval based on the average wind speed and average power of each wind speed interval; determine the wind speed recurrence probability of each wind speed interval below the rated wind speed of the generator set based on the wind frequency distribution curve of the generator set, and determine the power coefficient weight of each wind speed interval based on the wind speed recurrence probability; determine the power coefficient of the generator set below the rated wind speed based on the power coefficient weights and power coefficient of multiple wind speed intervals below the rated wind speed.

[0212] In some embodiments of the present specification, the estimated annual power generation of the reference generator set is also determined by: calculating the average power of each wind speed interval of the reference generator set; fitting the wind speed data of the generator set to be evaluated to obtain the wind frequency distribution curve of the generator set to be evaluated; and determining the estimated annual power generation of the reference generator set based on the wind frequency distribution curve of the generator set to be evaluated and the average power of multiple wind speed intervals of the reference generator set.

[0213] In some embodiments of the present specification, the estimated annual power generation of the reference generator set is determined by the following formula:

[0214]

[0215] Where AEP represents the estimated annual power generation of the reference generator set, F(V) represents the wind frequency distribution curve of the generator set to be evaluated, and V ave represents the annual average wind speed at the hub height of the generator set to be evaluated, V represents the wind speed of the generator set to be evaluated, and V i,start represents the starting wind speed of the i-th wind speed interval of the generator set to be evaluated, V i,endrepresents the starting wind speed of the i-th wind speed interval of the generator set to be evaluated, N h Indicates the number of hours in a year, P i,mean represents the average wind speed of the i-th wind speed interval of the reference generator set, and N represents the number of wind speed intervals of the reference generator set and / or the generator set to be evaluated.

[0216] In some embodiments of the present specification, the membership determination module 603 can be used to: determine the indicator type corresponding to each preset energy efficiency indicator; based on the association between the preset indicator type and the preset membership function, determine the target membership function corresponding to each preset energy efficiency indicator, the target membership function including multiple evaluation levels, the mapping relationship between the membership in each evaluation level and the indicator values ​​of the reference generator group and the generator group to be evaluated, and the relationship between the indicator values ​​of the reference generator group and the generator group to be evaluated corresponding to each mapping relationship; based on the target membership function, determine the membership matrix corresponding to the generator group to be evaluated, each element in the membership matrix is ​​used to characterize the membership between each preset energy efficiency indicator and each evaluation level, and the membership matrix is ​​used to characterize the membership of multiple preset energy efficiency indicators corresponding to the generator group to be evaluated.

[0217] In some embodiments of the present specification, the indicator type includes a first indicator type, the indicator value of the first indicator corresponding to the first indicator type is proportional to the energy efficiency, and the target membership function of the first indicator is expressed by the following formula:

[0218]

[0219] Among them, μ best (x), μ good (x), μ normal (x) and μ poor (x) represents the membership of the four evaluations of excellent, good, normal and poor, x represents the index value of the generator set to be evaluated, and x ref Represents the index value of the reference generator set.

[0220] In some embodiments of the present specification, the indicator type includes a second indicator type, the indicator value of the second indicator corresponding to the second indicator type is proportional to the energy efficiency, and the target membership function of the second indicator is expressed by the following formula:

[0221]

[0222] Among them, μ best (x), μ good (x), μ normal (x) and μ poor(x) represents the membership of the four evaluations of excellent, good, normal and poor, x represents the index value of the generator set to be evaluated, and x ref Represents the index value of the reference generator set.

[0223] In some embodiments of the present specification, the weight determination module 604 can be used to: construct an importance matrix of multiple preset energy efficiency indicators based on the relative importance between the multiple preset energy efficiency indicators; calculate multiple eigenvalues ​​of the importance matrix, and normalize the importance matrix based on the eigenvector corresponding to the maximum eigenvalue among the multiple eigenvalues ​​to obtain a weight matrix of multiple preset energy efficiency indicators to characterize the indicator weights of each preset energy efficiency indicator.

[0224] In some embodiments of the present specification, the state determination module 605 can be used to: multiply the membership matrix of the generator set to be evaluated by the weight matrix to obtain a comprehensive evaluation matrix of the preset energy efficiency indicators of the generator set to be evaluated, so as to evaluate the operating state of the generator set to be evaluated based on the comprehensive evaluation matrix.

[0225] In some embodiments of the present specification, the above-mentioned device can also be used to: multiply the comprehensive evaluation matrix by the transpose of the preset restriction matrix to obtain the quantitative value of the power characteristic evaluation result of the generator set to be evaluated; based on the relationship between the quantitative result corresponding to the restriction matrix and the preset evaluation level and the quantitative value, determine the evaluation result of the generator set to be evaluated.

[0226] The description and functions of the above modules can be understood by referring to the content of the method for determining the operating status of the generator set, which will not be repeated here.

[0227] The present application also provides an electronic device, such as Figure 7 As shown, the electronic device may include a processor 701 and a memory 702, wherein the processor 701 and the memory 702 may be connected via a bus or other means. Figure 7 The example of connecting through bus is taken in the following.

[0228] The processor 701 may be a central processing unit (CPU). The processor 701 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0229] The memory 702 is a non-transitory computer-readable storage medium that can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions / modules corresponding to the method for determining the operating state of a generator set in an embodiment of the present invention (for example, Figure 6 The processor 701 executes various functional applications and data processing of the processor by running the non-transient software programs, instructions and modules stored in the memory 702, that is, the method for determining the operating state of the generator set in the above method embodiment is implemented.

[0230] The memory 702 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data created by the processor 701, etc. In addition, the memory 702 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 702 may optionally include a memory remotely arranged relative to the processor 701, and these remote memories may be connected to the processor 701 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0231] The one or more modules are stored in the memory 702, and when executed by the processor 701, the following method for determining the operating status of a generator set is performed:

[0232] Acquire a generator set operation data set, wherein the generator set operation data set includes operation data of a reference generator set and operation data of a generator set to be evaluated; based on the generator set operation data set, calculate index values ​​of multiple preset energy efficiency indicators of the reference generator set and the generator set to be evaluated; determine the membership of each preset energy efficiency indicator corresponding to the generator set to be evaluated based on a preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated; determine the index weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated based on the relative importance between the multiple preset energy efficiency indicators; and determine the operation status of the generator set to be evaluated based on the index weight and the membership of each preset energy efficiency indicator corresponding to the generator set to be evaluated.

[0233] The specific details of the above electronic device can be understood by referring to the corresponding related descriptions and effects in the above method embodiments, and will not be repeated here.

[0234] The present specification also provides a computer storage medium, wherein the computer storage medium stores computer program instructions, and when the computer program instructions are executed, the steps of the method for determining the operating status of the generator set are implemented.

[0235] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0236] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0237] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions.

[0238] For the convenience of description, the above device is described in terms of functions and is described separately in various units. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0239] It can be known from the description of the above implementation methods that those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present application can be essentially or partly contributed to the prior art in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute certain parts of the methods of each implementation method of the present application.

[0240] The present application can be used in many general or special computer system environments or configurations, such as personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0241] The present application may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0242] Although the present application has been described through embodiments, those skilled in the art will appreciate that there are many modifications and variations to the present application without departing from the spirit of the present application, and it is intended that the appended claims include these modifications and variations without departing from the spirit of the present application.

Claims

1. A method for determining the operating status of a generator set, characterized in that: include: Acquire a generator set operation data set, wherein the generator set operation data set includes operation data of a reference generator set and operation data of a generator set to be evaluated; Based on the generator set operation data set, calculating the index values ​​of a plurality of preset energy efficiency indexes of the reference generator set and the generator set to be evaluated; Determine the membership of each preset energy efficiency index corresponding to the generator set to be evaluated based on the preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated; Based on the relative importance of multiple preset energy efficiency indicators, determine the indicator weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated; Based on the indicator weights and memberships of the preset energy efficiency indicators corresponding to the generator set to be evaluated, the operating status of the generator set to be evaluated is determined.

2. The method for determining the operating status of a generator set according to claim 1, characterized in that: The operating data of the reference generator set is the operating data of the target generator set in multiple operating time periods that meets the preset conditions, and the operating data of the generator set to be evaluated is the operating data of the target generator set in multiple operating time periods that does not meet the preset conditions; and / or: The operating data of the reference generator set is the operating data of the generator set that meets the preset conditions among the operating data of multiple generator sets within the same operating time period, and the operating data of the generator set to be evaluated is the operating data of the generator set that does not meet the preset conditions among the operating data of multiple generator sets within the same operating time period.

3. The method for determining the operating status of a generator set according to claim 1, characterized in that: Before calculating the index values ​​of a plurality of preset energy efficiency indexes of the reference generator set and the generator set to be evaluated, the method further includes: Based on the operation strategy of the generator set, data screening is performed on the operation data in the generator set operation data set; The filtered operating data is partitioned into wind speed zones, and the data in each zone is screened for outlier data points to obtain the target operating data set; Correspondingly, the index values ​​of a plurality of preset energy efficiency indexes of the reference generator set and the generator set to be evaluated are calculated based on the target operation data set.

4. The method for determining the operating status of a generator set according to claim 3, characterized in that: The filtered operating data is partitioned into wind speed zones, and the data in each zone is screened for outlier data points to obtain the target operating data set, including: Partitioning the filtered operating data based on a preset interval width to obtain a plurality of first wind speed intervals; Determining a target interval width corresponding to each first wind speed interval based on the number of data points in each first wind speed interval; Perform secondary partitioning on the filtered operating data based on the target interval width to obtain multiple second wind speed intervals; Adjusting the starting wind speed and the ending wind speed in each second wind speed interval according to the target interval length of each second wind speed interval, and performing three partitions based on the adjusted operating data to obtain a plurality of third wind speed intervals; The operating data in each third wind speed interval is screened for outliers, and based on the second wind speed interval corresponding to each third wind speed interval, the starting wind speed and the ending wind speed in each third wind speed interval after the outlier screening are adjusted to obtain the target operating data set.

5. The method for determining the operating status of a generator set according to claim 1, 2 or 3, characterized in that: The preset energy efficiency index includes at least one of the power standard deviation below the rated wind speed, the power standard deviation above the rated wind speed, the estimated annual power generation, and the power coefficient below the rated wind speed.

6. The method for determining the operating status of a generator set according to claim 1, characterized in that: The index values ​​of a plurality of preset energy efficiency indexes corresponding to the reference generator set and / or any one of the generator sets to be evaluated are calculated in the following manner: The operating data of the generator set is partitioned into wind speed zones to obtain multiple wind speed intervals; Calculate the power standard deviation, average wind speed and average power in each wind speed interval; Calculate the mean of the power standard deviations in the wind speed intervals above the rated wind speed as the power standard deviation of the generator set above the rated wind speed, and calculate the mean of the power standard deviations in the wind speed intervals below the rated wind speed as the power standard deviation of the generator set below the rated wind speed; Fitting the wind speed data of the generator set to obtain a wind frequency distribution curve of the generator set; Determining an estimated annual power generation of the generator set based on the wind frequency distribution curve and average power in multiple wind speed intervals; Determine the power coefficient of each wind speed interval based on the average wind speed and average power in each wind speed interval; Based on the wind frequency distribution curve of the generator set, determining the wind speed recurrence probability of each wind speed interval below the rated wind speed of the generator set, and determining the power coefficient weight of each wind speed interval based on the wind speed recurrence probability; The power coefficient of the generator set below the rated wind speed is determined based on the power coefficient weights and the power coefficients of a plurality of wind speed intervals below the rated wind speed.

7. The method for determining the operating status of a generator set according to claim 6, characterized in that: The estimated annual power generation of the reference generating set is also determined by: Calculate the average power of the reference generator set in each wind speed interval; Fitting the wind speed data of the generator set to be evaluated to obtain a wind frequency distribution curve of the generator set to be evaluated; Based on the wind frequency distribution curve of the generator set to be evaluated and the average power of multiple wind speed intervals of the reference generator set, the estimated annual power generation of the reference generator set is determined.

8. The method for determining the operating status of a generator set according to claim 6 or 7, characterized in that: The estimated annual power generation of the reference generator set is determined by the following formula: Where AEP represents the estimated annual power generation of the reference generator set, F(V) represents the wind frequency distribution curve of the generator set to be evaluated, and V ave represents the annual average wind speed at the hub height of the generator set to be evaluated, V represents the wind speed of the generator set to be evaluated, and V i,start represents the starting wind speed of the i-th wind speed interval of the generator set to be evaluated, V i,end represents the starting wind speed of the i-th wind speed interval of the generator set to be evaluated, N h Indicates the number of hours in a year, P i,mean represents the average wind speed of the i-th wind speed interval of the reference generator set, and N represents the number of wind speed intervals of the reference generator set and / or the generator set to be evaluated.

9. The method for determining the operating status of a generator set according to claim 1, characterized in that: Based on the preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated, the membership of each preset energy efficiency index corresponding to the generator set to be evaluated is determined, including: Determine the indicator type corresponding to each preset energy efficiency indicator; Based on the correlation between the preset indicator type and the preset membership function, determine the target membership function corresponding to each preset energy efficiency indicator, wherein the target membership function includes multiple evaluation levels, a mapping relationship between the membership in each evaluation level and the indicator values ​​of the reference generator set and the generator set to be evaluated, and a relationship between the indicator values ​​of the reference generator set and the generator set to be evaluated corresponding to each mapping relationship; Based on the target membership function, the membership matrix corresponding to the generator set to be evaluated is determined, each element in the membership matrix is ​​used to characterize the membership between each preset energy efficiency indicator and each evaluation level, and the membership matrix is ​​used to characterize the membership of multiple preset energy efficiency indicators corresponding to the generator set to be evaluated.

10. The method for determining the operating status of a generator set according to claim 9, characterized in that: The indicator type includes a first indicator type, the indicator value of the first indicator corresponding to the first indicator type is proportional to the energy efficiency, and the target membership function of the first indicator is expressed by the following formula: Among them, μ best (x), μ good (x), μ normal (x) and μ poor (x) represents the membership of the four evaluations of excellent, good, normal and poor, x represents the index value of the generator set to be evaluated, and x ref Represents the index value of the reference generator set.

11. The method for determining the operating status of a generator set according to claim 9, characterized in that: The indicator type includes a second indicator type, the indicator value of the second indicator corresponding to the second indicator type is proportional to the energy efficiency, and the target membership function of the second indicator is expressed by the following formula: Among them, μ best (x), μ good (x), μ normal (x) and μ poor (x) represents the membership of the four evaluations of excellent, good, normal and poor, x represents the index value of the generator set to be evaluated, and x ref Represents the index value of the reference generator set.

12. The method for determining the operating status of a generator set according to claim 9, characterized in that: Based on the relative importance of multiple preset energy efficiency indicators, determine the indicator weights of each preset energy efficiency indicator corresponding to the generator set to be evaluated, including: Based on the relative importance of multiple preset energy efficiency indicators, construct an importance matrix of the multiple preset energy efficiency indicators; Multiple eigenvalues ​​of the importance matrix are calculated, and the importance matrix is ​​normalized based on the eigenvector corresponding to the maximum eigenvalue among the multiple eigenvalues ​​to obtain a weight matrix of multiple preset energy efficiency indicators to characterize the indicator weight of each preset energy efficiency indicator.

13. The method for determining the operating status of a generator set according to claim 12, characterized in that: Based on the indicator weights and membership degrees of each preset energy efficiency indicator corresponding to the generator set to be evaluated, the operating state of the generator set to be evaluated is determined, including: The membership matrix of the generator set to be evaluated is multiplied by the weight matrix to obtain a comprehensive evaluation matrix of the preset energy efficiency index of the generator set to be evaluated, so as to evaluate the operating status of the generator set to be evaluated based on the comprehensive evaluation matrix.

14. The method for determining the operating status of a generator set according to claim 13, characterized in that: Also includes: Multiplying the comprehensive evaluation matrix by the transpose of a preset restriction matrix to obtain a quantitative value of a power characteristic evaluation result of the generator set to be evaluated; Based on the relationship between the quantitative result corresponding to the restriction matrix and the preset evaluation level and the quantitative value, the evaluation result of the generator set to be evaluated is determined.

15. A device for determining the operating status of a generator set, characterized in that: include: A data acquisition module, used to acquire a generator set operation data set, wherein the generator set operation data set includes operation data of a reference generator set and operation data of a generator set to be evaluated; An index calculation module, used to calculate index values ​​of a plurality of preset energy efficiency indexes of the reference generator set and the generator set to be evaluated based on the generator set operation data set; A membership determination module, used to determine the membership of each preset energy efficiency index corresponding to the generator set to be evaluated based on a preset membership function and the index values ​​corresponding to the reference generator set and the generator set to be evaluated; A weight determination module, used to determine the indicator weight of each preset energy efficiency indicator corresponding to the generator set to be evaluated based on the relative importance between multiple preset energy efficiency indicators; The state determination module is used to determine the operating state of the generator set to be evaluated based on the indicator weights and membership degrees of each preset energy efficiency indicator corresponding to the generator set to be evaluated.

16. An electronic device, characterized in that: include: A memory and a processor, wherein the processor and the memory are communicatively connected to each other, the memory stores computer instructions, and the processor implements the steps of the method according to any one of claims 1 to 14 by executing the computer instructions.

17. A computer storage medium, characterized in that: The computer storage medium stores computer program instructions, and when the computer program instructions are executed, the steps of the method according to any one of claims 1 to 14 are implemented.

18. A computer program product, characterized in that The invention comprises a computer program, which implements the steps of the method according to any one of claims 1 to 14 when being executed by a processor.

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