WO2021137758A1

WO2021137758A1 - Method and apparatus for displaying indicator information of wind farm and storage medium

Info

Publication number: WO2021137758A1
Application number: PCT/SG2020/050770
Authority: WO
Inventors: Hao Luo; Shibing Xia; Xiaojin LIN
Original assignee: Envision Digital International Pte. Ltd.; Shanghai Envision Digital Co., Ltd.
Priority date: 2019-12-31
Filing date: 2020-12-22
Publication date: 2021-07-08
Also published as: CN111553808B; CN111553808A

Abstract

The present disclosure discloses a method and an apparatus for displaying indicator information of a wind farm, and a storage medium. The method includes: acquiring history data information of at least one wind turbine equipment in a wind farm; then determining power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment; next, determining credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on time information in the history data information of the at least one wind turbine equipment; and finally, displaying the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof. With the solution described above, power generation situations of the wind farm can be displayed more comprehensively, such that a problem of incomprehensive status display of the wind farm is solved. Thus, the comprehensiveness in displaying the indicator information of the wind farm is increased.

Description

METHOD AND APPARATUS FOR DISPLAYING INDICATOR INFORMATION OF WIND FARM AND STORAGE MEDIUM

TECHNICAL FIELD

[0001] The present disclosure relates to the field of wind power generation technologies, and in particular to a method and an apparatus for displaying indicator information of a wind farm and a storage medium.

BACKGROUND

[0002] Nowadays, with the increasing development of wind power generation technologies, power generation situations of each of the wind farms and each the wind turbine equipment in the wind farms need to be evaluated and displayed to users.

[0003] In the related art, by collecting operating data of each of the wind turbine equipment and the wind farms over a period of time, three types of data including power loss, energy based availability (EBA) and time based availability (TBA) of each the wind turbine equipment and the wind farms may be calculated by using the operating data, and any one of the data is selected as an indicator for evaluating the power generation situation for displaying.

[0004] However, the solution in the related art that any one of the data of the power loss, the EBA and the TBA is selected as the indicator for displaying the power generation situations of the wind farms and each the wind turbine equipment inevitably causes excessively one-sided display of the power generation situations of the wind farms and each the wind turbine equipment thereof, which may adversely affect the accuracy of displaying the situations of the wind farms.

SUMMARY

[0005] The present disclosure provides a method and an apparatus for displaying indicator information of a wind farm and a storage medium. The technical solutions are described as below.

[0006] In a first aspect of embodiments of the present disclosure, a method for displaying indicator information of a wind farm is provided. The method includes:

[0007] acquiring history data information of at least one wind turbine equipment in a wind farm, wherein the history data information includes power generation capacity information and time information in each power generation status; [0008] determining power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information includes at least one of energy based availability (EBA), time based availability (TBA), and power loss;

[0009] determining credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment; and

[0010] displaying the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof.

[0011] Optionally, the power generation capacity information includes actual power generation capacity and theoretical power generation capacity of corresponding wind turbine equipment; and

[0012] the time information includes total time, connectionless time, no -computing time and unavailable time.

[0013] Optionally, in response to the indicator information including at least the EBA, determining the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment includes:

[0014] obtaining EBA of each the wind turbine equipment by calculating a ratio of actual power generation capacity to theoretical power generation capacity of each the wind turbine equipment; and

[0015] obtaining EBA of the wind farm by calculating a ratio of a sum of actual power generation capacity of the at least one wind turbine equipment to a sum of theoretical power generation capacity of the at least one wind turbine equipment in the wind farm.

[0016] Optionally, in response to the indicator information including at least the EBA, determining the credibility of the power generation indicator information of the at least one wind turbine equipment and the credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment includes:

[0017] acquiring EBA credibility of each the wind turbine equipment based on a ratio of connectionless time to total time of each the wind turbine equipment; and [0018] acquiring EBA credibility of the wind farm based on a ratio of connectionless time mean to total time of the at least one wind turbine equipment.

[0019] Optionally, in response to the indicator information including at least the time based availability, determining the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment includes: [0020] obtaining TBA of each the wind turbine equipment by calculating a ratio of a difference between total time and unavailable time and no-computing time of each the wind turbine equipment to a difference between the total time and the no -computing time of each the wind turbine equipment;

[0021] acquiring unavailable time mean by averaging the unavailable time of the at least one wind turbine equipment in the wind farm;

[0022] acquiring no-computing time mean by averaging the no-computing time of the at least one wind turbine equipment in the wind farm; and

[0023] obtaining TBA of the wind farm by calculating a ratio of a difference between the total time and a first time mean to a difference between the total time and the no-computing time mean, wherein the first time mean is a sum of the unavailable time mean and the no-computing time mean.

[0024] Optionally, in response to the indicator information including at least the TBA, determining the credibility of the power generation indicator information of the at least one wind turbine equipment and the credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment includes:

[0025] acquiring TBA credibility of each the wind turbine equipment based on a ratio of the no-computing time to the total time of each the wind turbine equipment; and [0026] acquiring TBA credibility of the wind farm based on a ratio of the no -computing time mean to the total time of the at least one wind turbine equipment.

[0027] Optionally, displaying the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof includes:

[0028] ranking the wind turbine equipment and the wind farm according to power generation power based on a predetermined weighting set by the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm and the corresponding credibility thereof. [0029] In a second aspect of the embodiments of the present disclosure, an apparatus for displaying indicator information of a wind farm is provided. The apparatus includes:

[0030] a data acquiring module, configured to acquire history data information of at least one wind turbine equipment in a wind farm, wherein the history data information includes power generation capacity information and time information in each power generation status;

[0031] an indicator determining module, configured to determine power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information includes at least one of energy based availability (EBA), time based availability (TBA), and power loss;

[0032] a credibility determining module, configured to determine credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment; and [0033] an information displaying module, configured to display the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof.

[0034] Optionally, the power generation capacity information includes actual power generation capacity and theoretical power generation capacity of corresponding wind turbine equipment; and

[0035] the time information includes total time, connectionless time, no -computing time and unavailable time.

[0036] Optionally, in response to the indicator information including at least the energy based availability, the indicator determining module includes:

[0037] a first indicator obtaining sub-module, configured to obtain EBA of each the wind turbine equipment by calculating a ratio of actual power generation capacity to theoretical power generation capacity of each the wind turbine equipment; and [0038] a first entire wind farm indicator obtaining sub-module, configured to obtain

EBA of the wind farm by calculating a ratio of a sum of actual power generation capacity of the at least one wind turbine equipment to a sum of theoretical power generation capacity of the at least one wind turbine equipment in the wind farm.

[0039] Optionally, in response to the indicator information including at least the EBA, the credibility determining module includes:

[0040] a first credibility acquiring sub-module, configured to acquire EBA credibility of each the wind turbine equipment based on a ratio of connectionless time to total time of each the wind turbine equipment; and

[0041] a first entire wind farm credibility acquiring sub-module, configured to acquire

EBA credibility of the wind farm based on a ratio of connectionless time mean to total time of the at least one wind turbine equipment.

[0042] Optionally, in response to the indicator information including at least the TBA, the indicator determining module includes:

[0043] a second indicator obtaining sub-module, configured to obtain TBA of each the wind turbine equipment by calculating a ratio of a difference between total time, unavailable time, and no-computing time of each the wind turbine equipment to a difference between the total time and the no-computing time of each the wind turbine equipment;

[0044] a first mean acquiring sub-module, configured to acquire unavailable time mean by averaging the unavailable time of the at least one wind turbine equipment in the wind farm; [0045] a second mean acquiring sub-module, configured to acquire no-computing time mean by averaging the no-computing time of the at least one wind turbine equipment in the wind farm; and

[0046] a second entire wind farm indicator obtaining sub-module, configured to obtain

TBA of the wind farm by calculating a ratio of a difference between the total time and a first time mean to a difference between the total time and the no -computing time mean, wherein the first time mean is a sum of the unavailable time mean and the no-computing time mean.

[0047] Optionally, in response to the indicator information including at least the TBA, the credibility determining module includes:

[0048] a second credibility acquiring sub-module, configured to acquire TBA credibility of each the wind turbine equipment based on a ratio of the no-computing time to the total time of each the wind turbine equipment; and

[0049] a second entire wind farm credibility acquiring sub-module, configured to acquire TBA credibility of the wind farm based on a ratio of the no -computing time mean to the total time of the at least one wind turbine equipment.

[0050] Optionally, the information displaying module includes:

[0051] an information ranking sub-module, configured to rank the wind turbine equipment and the wind farm according to power generation power based on a predetermined weighting set by the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm and the corresponding credibility thereof.

[0052] In a third aspect of the embodiments of the present disclosure, an apparatus for displaying indicator information of a wind farm is provided. The apparatus includes:

[0053] a processor; and

[0054] a memory for storing an executable instruction by the processor, wherein

[0055] the processor is configured to:

[0056] acquire history data information of at least one wind turbine equipment in a wind farm, wherein the history data information includes power generation capacity information and time information in each power generation status;

[0057] determine power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information includes at least one of energy based availability (EBA), time based availability (TBA), and power loss;

[0058] determine credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment; and

[0059] display the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof.

[0060] In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium storing an executable instruction is provided, wherein the executable instruction is invoked and executed by a processor to perform the method for displaying the indicator information of the wind farm as defined in the first aspect or any one of optional solutions in the first aspect.

[0061] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

[0062] the history data information of the at least one wind turbine equipment in the wind farm is acquired, wherein the history data information includes the power generation capacity information and the time information in each power generation status; then, the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm are determined based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information includes at least one of the EBA, the TBA, and the power loss; next, the credibility of the power generation indicator information of the at least one wind turbine equipment and the credibility of the power generation indicator information of the wind farm are determined based on the time information in the history data information of the at least one wind turbine equipment; and finally, the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof are displayed. In the aforementioned solution, power generation situations of the wind farm are displayed more comprehensively by determining three types of indicator information and credibility corresponding to the three types of indicator information, such that the problems of poor quality evaluation and incomprehensive display of the status of the wind farm are solved, and the comprehensiveness in displaying the indicator information of the wind farm is increased.

[0063] It should be understood that both the foregoing general descriptions and the following detailed descriptions are merely exemplary and cannot limit the present disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS [0064] The accompanying drawings, which are incorporated in and constitute part of the description, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0065] FIG. 1 is a schematic diagram of a system for displaying indicator information according to an exemplary embodiment;

[0066] FIG. 2 is a schematic diagram of a method for displaying indicator information of a wind farm according to an exemplary embodiment;

[0067] FIG. 3 is a flowchart of a method for displaying indicator information of a wind farm according to an exemplary embodiment;

[0068] FIG. 4 is a flowchart of a method for displaying indicator information of a wind farm according to another exemplary embodiment;

[0069] FIG. 5 is a schematic diagram of a time range corresponding to non-fault shutdown of a wind turbine equipment involved in the embodiment shown by FIG. 4; [0070] FIG. 6 is a schematic diagram of a time range corresponding to non-maintenance shutdown of a wind turbine equipment according to the embodiment shown in FIG. 4;

[0071] FIG. 7 is a schematic diagram of a time range corresponding to manual shutdown caused by non-maintenance and non-fault according to the embodiment shown in FIG. 4;

[0072] FIG. 8 is a schematic diagram of a page with energy based availability as the power generation indicator information and corresponding credibility thereof directly displayed thereon according to the embodiment shown in FIG. 4;

[0073] FIG. 9 is a block diagram of an apparatus for displaying indicator information of a wind farm according to an exemplary embodiment; and

[0074] FIG. 10 is a schematic structural diagram of a computer device according to an exemplary embodiment.

DETAILED DESCRIPTION

[0075] Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise represented. The implementations set forth in the following description of exemplary embodiments do not represent all implementations consistent with the present disclosure. Instead, they are merely examples of apparatuses and methods consistent with aspects related to the present disclosure as recited in the appended claims.

[0076] It should be understood that the term "several" herein refers to one or more, and

"plurality" herein refers to two or more. "And/or" herein describes the associated relationship of the associated objects, indicating three kinds of relationships. For example, A and/or B, can represent that: A exists alone, A and B exist concurrently, B exists alone. The character "/" generally indicates that the contextual objects are in an "or" relationship.

[0077] To facilitate understanding, terms according to the embodiments of the present disclosure are explained below.

[0078] (1) Energy based availability (EBA) of a wind farm

[0079] EBA of a wind farm is used for measuring production efficiency of a wind farm.

[0080] (2) Time based availability (TBA) of a wind farm

[0081] TBA of a wind farm is used for measuring normal working time of a power generation set in a wind farm.

[0082] (3) Power loss of a wind farm

[0083] Power loss of a wind farm mainly contains power losses in the status of a fault, power limitation, and entire wind farm power limitation.

[0084] FIG. 1 is a schematic diagram of a system for displaying indicator information according to an exemplary embodiment. The system for displaying indicator information includes at least one wind farm 120, at least one wind turbine equipment 110 included in the at least one wind farm 120, and a computer device 130.

[0085] A system that may collect operating data of the wind turbine equipment 110 and the wind farm 120 is mounted in the computer device 130.

[0086] The at least one wind turbine equipment 110 and the computer device 130 are connected by a wired or wireless network.

[0087] Optionally, the wired or wireless network described above use a standard communication technology and/or protocol. The network is usually the Internet, but may also be any network, including but not limited to any combination of a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a mobile wireless network, a private network, and a virtual private network. In some embodiments, data exchanged over the network are represented by using technologies and/or formats including hyper text mark-up language (HTML), extensible markup language (XML), and the like. In addition, all or some links may also be encrypted by using conventional encryption technologies such as secure socket layer (SSL), transport layer security (TLS), virtual private network (VPN), internet protocol security (IPsec), and the like. In other embodiments, customized and/or dedicated data communication technologies may also be used to replace or supplement the data communication technologies above.

[0088] FIG. 2 is a schematic diagram of a method for displaying indicator information of a wind farm according to an exemplary embodiment. As shown in FIG. 2, during the operation of the wind farm, operating data of each wind turbine equipment may be uploaded to a computer device. The operating data may be actual power generation capacity, wind speed, status, theoretical power, and the like, of the wind turbine equipment. A user selects a time range to query power generation situations of each wind turbine equipment and the wind farm, and the computer device may acquire connectionless time within the time range. The connectionless time is a sum of duration in which the wind turbine equipment is in a connectionless status and an unknown status within the time range. [0089] (1) Within this time range, EBA = actual power generation capacity /theoretical power generation capacity. The EBA credibility is set to be 1 - connectionless time/total time, such that the EBA within the time range and the EBA credibility may be calculated.

[0090] (2) The computer device may acquire unavailable time and no-computing time of the wind turbine equipment within this time range. The unavailable time includes time of four statuses of the wind turbine equipment, including fault shutdown, fault of the wind turbine equipment, overhaul of the wind turbine equipment and maintenance shutdown. The no-computing time mainly refers to time in which the wind turbine equipment is in an unknown status, and the no-computing time = connectionless status time caused by non-fault shutdown and non-maintenance shutdown + manual shutdown time caused by non-maintenance and fault shutdown. Within this time range, TBA = (total time - unavailable time - no-computing time)/ (total time - no-computing time), and the TBA credibility is set to be 1 - no-computing time/total time. The connectionless status time caused by non -fault shutdown and non-maintenance shutdown = connectionless time within a statistical time range

- connectionless time caused by maintenance shutdown - connectionless time caused by fault shutdown, such that the TBA within the time range and the TBA credibility may be calculated. [0091] (3) The computer device may acquire fault power loss of the wind turbine equipment, power-limited loss of the wind turbine equipment, credibility of fault power loss of the wind turbine equipment, credibility of power-limited power loss of the wind turbine equipment, power loss of the wind turbine equipment, and credibility of power loss of the wind turbine equipment. The fault power loss of the wind turbine equipment= theoretical power generation capacity within the time range of fault shutdown and overhaul of the wind turbine equipment. The power-limited loss of the wind turbine equipment = theoretical power generation capacity - actual power generation capacity during power-limited operation and power-limited shutdown. The credibility of fault power loss of the wind turbine equipment = 1

- connectionless time caused by fault of the wind turbine equipment/total time. The credibility of power-limited power loss of the wind turbine equipment = 1 - connectionless time caused by power limitation/total time. The power loss of the wind turbine equipment = power-limited power loss of the wind turbine equipment+ fault power loss of the wind turbine equipment. The credibility of power loss of the wind turbine equipment = (the credibility of power limitation of the wind turbine equipment * power-limited power loss of the wind turbine equipment + the credibility of fault of the wind turbine equipment * fault power loss of the wind turbine equipment)/power loss of the wind turbine equipment.

[0092] The EBA, TBA, power loss and the respective credibility thereof of the entire wind farm may be determined by the EBA, TBA, power loss, and the respective credibility thereof of the wind turbine equipment.

[0093] The user may judge the power generation situation of one wind turbine equipment or one wind farm from three different dimensions of the EBA, the TBA and the power loss, depending on which of the three dimensions the user is interested in. The user may make a query according to his/her interested dimension, and view its value in each wind farm by indicator ranking. The possibility of fraud in this wind farm may be reflected by the corresponding credibility. A comprehensive score may be finally obtained by the power generation indicator information weighting ranking in the three different dimensions, of which is used for measuring the performance of the wind turbine equipment and the efficiency of the wind farm.

[0094] FIG. 3 is a flowchart of a method for displaying indicator information of a wind farm according to an exemplary embodiment. The method for displaying the indicator information of the wind farm may be applied to a system for displaying indicator information, which includes at least one wind turbine equipment, at least one wind farm and a computer device. The method is executed by the computer device. For example, the wind turbine equipment may be any one of the wind turbine equipment 110 shown in FIG. 1, the wind farm may be any one of the wind farms 120 shown in FIG. 1, and the computer device may be the computer device 130 shown in FIG. 1. As shown in FIG. 3, the method for displaying the indicator information of the wind farm may include the following steps.

[0095] In step 301, history data information of at least one wind turbine equipment in a wind farm is acquired, wherein the history data information includes power generation capacity information and time information in each power generation status.

[0096] In step 302, power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm are determined based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information includes at least one of energy based availability (EBA), time based availability (TBA), and power loss.

[0097] In step 303, credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm are determined based on the time information in the history data information of the at least one wind turbine equipment.

[0098] In step 304, the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof are displayed.

[0099] In summary, in the method for displaying the indicator information of the wind farm according to the embodiments of the present disclosure, the history data information of the at least one wind turbine equipment in the wind farm is acquired, wherein the history data information includes the power generation capacity information and the time information in each power generation status; then, the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm are determined based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information includes at least one of the EBA, the TBA, and the power loss; next, the credibility of the power generation indicator information of the at least one wind turbine equipment and the credibility of the power generation indicator information of the wind farm are determined based on the time information in the history data information of the at least one wind turbine equipment; and finally, the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof are displayed. In the aforementioned solution, power generation situations of the wind farm are displayed more comprehensively by determining three types of indicator information and credibility corresponding to the three types of indicator information, such that the problems of poor quality evaluation and incomprehensive display of the status of the wind farm are solved, and the comprehensiveness in displaying the indicator information of the wind farm is increased.

[00100] FIG. 4 is a flowchart of a method for displaying indicator information of a wind farm according to another exemplary embodiment. The method for displaying the indicator information of the wind farm may be applied to a system for displaying indicator information, which includes at least one wind turbine equipment, at least one wind farm and a computer device. The method is executed by the computer device. For example, the wind turbine equipment may be any one of the wind turbine equipment 110 shown in FIG. 1, the wind farm may be any one of the wind farms 120 shown in FIG. 1, and the computer device may be the computer device 130 shown in FIG. 1. As shown in FIG. 4, the method for displaying the indicator information of the wind farm may include the following steps.

[00101] In step 401, the computer device acquires history data information of at least one wind turbine equipment in a wind farm. [00102] In the embodiment of the present disclosure, the computer device may collect, by a dedicated system for collecting data of the wind farm, the history data information of the at least one wind turbine equipment monitored by the computer device.

[00103] The history data information includes operating data information and time data information, and the wind farm is composed of the at least one wind turbine equipment. The history data information includes power generation capacity information and time information in each power generation status. The power generation capacity information includes actual power generation capacity and theoretical power generation capacity of corresponding wind turbine equipment, and the time information includes total time, connectionless time, no-computing time, and unavailable time.

[00104] Optionally, the computer device may sample data in a supervisory control and data acquisition (SCADA) system, and the acquired sampled data is the history data information.

[00105] Optionally, a user may input a time range in the dedicated system, wherein the time range is a period of time in which the history data information needs to be queried. [00106] For example, if the user needs to evaluate operating situations of the wind turbine equipment and power generation situations of the wind farm on October 1, 2019, input 0:00 on October 1, 2019 to 0:00 on October 2, 2019 into the dedicated system as the time range to query the actual power generation capacity and the theoretical power generation capacity of each wind turbine equipment that may be monitored by the computer device within the time range, as well as the connectionless time, the no -computing time and the unavailable time of each wind turbine equipment during operation. Based on the acquired history data information of each wind turbine equipment, the actual power generation capacity and the theoretical power generation capacity of the entire wind farm composed of at least one wind turbine equipment, as well as connectionless time mean, no-computing time mean and unavailable time mean during the production of the wind farm, may be acquired.

[00107] In step 402, the computer device determines power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment.

[00108] In the embodiment of the present disclosure, the computer device determines the indicator information of each wind turbine equipment based on at least one data information of the actual power generation capacity, the theoretical power generation capacity, the connectionless time, the no-computing time and the unavailable time of each wind turbine equipment. The computer device determines the indicator information of the wind farm composed of at least one the wind turbine equipment based on the history data information of each wind turbine equipment.

[00109] The power generation indicator information includes at least one of energy based availability (EBA), time based availability (TBA), and power loss. Methods for determining the three types of power generation indicator information based on the history data information of each wind turbine equipment are described as below.

[00110] (1) The power generation indicator information is the EBA.

[00111] Optionally, when the indicator information includes at least the EBA, a ratio of actual power generation capacity to theoretical power generation capacity of each wind turbine equipment is calculated to obtain EBA of each wind turbine equipment, and a ratio of a sum of actual power generation capacity of the at least one wind turbine equipment to a sum of theoretical power generation capacity of the at least one wind turbine equipment in the wind farm is calculated to obtain EBA of the wind farm.

[00112] The EBA of the wind turbine equipment = (the actual power generation capacity of the wind turbine equipment)/ (the theoretical power generation capacity of the wind turbine equipment). The EBA of the wind farm = the sum of (the actual power generation capacity of each wind turbine equipment in the wind farm)/the sum of (the theoretical power generation capacity of each wind turbine equipment in the wind farm).

[00113] For example, when the actual power generation capacity of the wind turbine equipment is A and the theoretical power generation capacity of the wind turbine equipment is B, the EBA of the wind turbine equipment is A/B. When one wind farm includes three pieces of wind turbine equipment of which the actual power generation capacity is C, D, and E respectively and the theoretical power generation capacity is F, G, and H respectively, the EBA of the wind farm is (C + D + E)/(F + G + H).

[00114] The EBA of the wind farm is indicator information for measuring the production efficiency of the wind farm. The larger the EBA is, the higher the power generation efficiency of the wind farm is.

[00115] (2) The power generation indicator information is the TBA.

[00116] Optionally, when the indicator information includes at least the TBA, a ratio of a difference between total time, unavailable time, and no-computing time of each the wind turbine equipment to a difference between the total time and the no -computing time of each the wind turbine equipment is calculated to obtain TBA of each the wind turbine equipment. The unavailable time of the at least one wind turbine equipment in the wind farm is averaged to acquire unavailable time mean. The no-computing time of the at least one wind turbine equipment in the wind farm is averaged to acquire no-computing time mean. A ratio of a difference between the total time and a first time mean to a difference between the total time and the no-computing time mean is calculated to obtain TBA of the wind farm, wherein the first time mean is a sum of the unavailable time mean and the no-computing time mean. [00117] The TBA of the wind turbine equipment = (total time - unavailable time - no-computing time)/ (total time - no-computing time). The TBA of the wind farm = 1 - the unavailable time mean of each the wind turbine equipment in the wind farm / (total time - the no-computing time mean of each the wind turbine equipment in the wind farm).

[00118] The no-computing time = connectionless status time caused by non-fault shutdown and non-maintenance shutdown + manual shutdown time caused by non-maintenance and fault.

[00119] For example, FIG. 5 is a schematic diagram of a time range corresponding to non-fault shutdown of the wind turbine equipment according to the present embodiment. The wind turbine equipment may have two kinds of connectionless status time: one is connectionless status time caused by non-fault shutdown and non-maintenance shutdown, and the other is connectionless time caused by fault shutdown. The connectionless status time caused by non-fault shutdown and non -maintenance shutdown = connectionless time within the statistical time range - connectionless time caused by maintenance shutdown - connectionless time caused by fault shutdown. The connectionless time = unknown status time + connectionless status time. The status of the wind turbine equipment in the operating process and the corresponding time range are shown in FIG. 5. The sum of unknown status time and connectionless status time is equal to the connectionless time, and the connectionless time = t2 + t3 + t4 + t6.

[00120] The connectionless time caused by fault shutdown is a period of time in which a status following the fault shutdown status of the wind turbine equipment is an unknown status or a connectionless status till the status of the wind turbine equipment changes to a known status and a connection status. For example, as shown in FIG. 5, the connectionless time caused by fault shutdown = t2 + t3 + t4.

[00121] Similarly, FIG. 6 is a schematic diagram of a time range corresponding to non-maintenance shutdown of the wind turbine equipment according to the present embodiment. The connectionless time caused by maintenance shutdown is a period of time in which a status following the maintenance shutdown status of the wind turbine equipment is an unknown status or a connectionless status till the status of the wind turbine equipment changes to a known status and a connection status. For example, as shown in FIG. 6, the connectionless time caused by maintenance shutdown = t2 + t4 + t5.

[00122] In addition, manual shutdown time caused by non-maintenance and non-fault = the time in which the status of the wind turbine equipment is manual shutdown within the statistical time range - the manual shutdown time caused by maintenance shutdown - the manual shutdown time caused by fault shutdown. FIG. 7 is a schematic diagram of a time range corresponding to manual shutdown caused by non -maintenance and non-fault according to the present embodiment. As shown in FIG. 7, the manual shutdown time = t2 + t5 + t7. The manual shutdown time caused by maintenance shutdown is a time range in which a status following the maintenance shutdown status is manual shutdown till the status of the wind turbine equipment is a non-manual shutdown status. For example, as shown in FIG. 7, the manual shutdown time caused by maintenance shutdown = t2. The manual shutdown time caused by fault shutdown is a time range in which a status following the fault shutdown status is manual shutdown till the status of the wind turbine equipment is the non-manual shutdown status. For example, as shown in FIG. 7, the manual shutdown time caused by fault shutdown = t7.

[00123] The TBA of the wind farm is indicator information for measuring normal working time of a power generation set of the wind farm. The larger the TBA is, the higher the power generation efficiency of the wind farm is.

[00124] (3) The power generation indicator information is the power loss.

[00125] Optionally, when the indicator information includes at least the power loss, the sum of the theoretical power generation capacity within the time range of fault shutdown and overhaul of the wind turbine equipment serves as fault power loss of the wind turbine equipment. A difference between the sum of the theoretical power generation capacity within the time range of power-limited operation and power-limited shutdown of the wind turbine equipment and the actual power generation capacity is calculated to determine power-limited power loss of the wind turbine equipment. The sum of the fault power loss and the power-limited power loss of the wind turbine equipment serves as power loss of the wind turbine equipment. Power loss of the wind farm is determined based on the power loss of the at least one wind turbine equipment.

[00126] Fault power loss of the wind turbine equipment = theoretical power generation capacity within the time range of fault shutdown and overhaul time of the wind turbine equipment, and power-limited power loss of the wind turbine equipment = theoretical power generation capacity during power-limited operation and power-limited shutdown of the wind turbine equipment - actual power generation capacity. Power loss of the wind turbine equipment = power-limited power loss of the wind turbine equipment + fault power loss of the wind turbine equipment.

[00127] Power-limited power loss of entire wind farm = max(the sum of theoretical power generation capacity of all the wind turbine equipment in the entire wind farm within the entire wind farm power-limited time range - a preset power * time, 0); fault power loss of the entire wind farm= min(min(the sum of theoretical power generation capacity of all the wind turbine equipment in the entire wind farm, power-limited power generation capacity of the entire wind farm) - the sum of entire wind farm actual power generation capacity of all the wind turbine equipment, the sum of fault shutdown power loss of the wind turbine equipment in the entire wind farm); and power loss of the entire wind farm = power-limited power loss of the entire wind farm + fault power loss of the entire wind farm.

[00128] The power loss of the wind farm includes the power loss of the wind turbine equipment in the statuses of fault, power limitation, and entire wind farm power limitation. The power loss of the wind farm is indicator information mainly used for analyzing the cause of the fault of the wind turbine equipment in the wind farm. The smaller the power loss is, the higher the power generation efficiency of the wind farm is.

[00129] In step 403, the computer device determines credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment.

[00130] In the embodiment of the present disclosure, in order to increase the authenticity and the credibility of each indicator information, the computer device sets different credibility calculation methods for the each indicator information, and calculates the credibility of the each indicator information based on the time data information.

[00131] The credibility is used for indicating the difference between operating situations of the wind turbine equipment and the wind farm, shown by the indicator information, and an actual operating situation.

[00132] Optionally, the higher the credibility is, the smaller the difference between a calculation result of the corresponding indicator information and the actual operating situation is.

[00133] Calculation methods for determining the credibility of the EBA, the TBA and the power loss are described as below.

[00134] (1) The EBA credibility [00135] Optionally, the computer device acquires EBA credibility of each the wind turbine equipment based on a ratio of connectionless time to total time of each the wind turbine equipment and acquires EBA credibility of the wind farm based on a ratio of connectionless time mean to total time of the at least one wind turbine equipment.

[00136] Optionally, the EBA credibility is determined by the connectionless time.

[00137] The EBA credibility = 1 - connectionless time/total time. The EBA credibility of the wind farm = 1 - connectionless time mean of the wind turbine equipment in the wind farm/total time.

[00138] (2) The TBA credibility

[00139] Optionally, the computer device acquires TBA credibility of each the wind turbine equipment based on a ratio of the no-computing time to the total time of each the wind turbine equipment, and acquires TBA credibility of the wind farm based on a ratio of the no-computing time mean to the total time of the at least one wind turbine equipment.

[00140] Optionally, the TBA credibility is determined by the no-computing time.

[00141] The TBA credibility = 1 - no-computing time/total time. The TBA credibility of the wind farm = 1 - no-computing time mean of the wind turbine equipment in the wind farm/total time.

[00142] (3) The credibility of power loss

[00143] Optionally, the credibility of power loss is determined by the connectionless time.

[00144] The credibility of fault power loss of the wind turbine equipment = 1 - connectionless time caused by fault of the wind turbine equipment /total time. The credibility of power-limited power loss of the wind turbine equipment = 1 - connectionless time caused by power limitation of the wind turbine equipment /total time. The credibility of power-limited power loss of the wind farm = 1 - connectionless time/total time. The credibility of fault power loss of the wind farm = 1 - connectionless time/total time. The credibility of power loss of the wind turbine equipment = (the credibility of power limitation of the wind turbine equipment * power-limited power loss of the wind turbine equipment + the credibility of fault of the wind turbine equipment * power loss of fault of the wind turbine equipment)/power loss of the wind turbine equipment. If the power loss is 0, the credibility is 1. The credibility of power loss of the wind farm = (the credibility of power limitation of the wind farm * power loss of power limitation of the wind farm + the credibility of fault of the wind farm * power loss of fault of the wind farm)/power loss of the wind farm. If the power loss is 0, the credibility is 1. The total time = number of the wind turbine equipment * statistical time range.

[00145] In step 404, the computer device displays the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof.

[00146] In the embodiment of the present disclosure, each the indicator information and the corresponding credibility may be directly displayed on a display interface of the computer device for the user to view and analyze. Alternatively, a predetermined weighting may be set for each the indicator information, the wind turbine equipment may be ranked according to power generation power based on a predetermined weighting and the credibility, the wind farms may be ranked according to power generation power, and a ranking result is displayed on the display interface.

[00147] Optionally, the computer device ranks the wind turbine equipment and the wind farms according to power generation power based on the predetermined weighting set by each power generation indicator information and the corresponding credibility thereof.

[00148] FIG. 8 is a schematic diagram of a page with EBA as the power generation indicator information and corresponding credibility thereof directly displayed thereon according to the present embodiment. As shown in FIG. 8, the page may be displayed in the form of a table, and the page contains history data information, such as actual power generation capacity, theoretical power generation capacity, and connectionless time required for calculating the EBA, and also includes a control for selecting a time range and controls for selecting and querying wind turbine equipment or wind farms, and query and export may be allowed.

[00149] Optionally, the computer device may rank by the power generation indicator information weighting in the three different dimensions, of which is used for measuring the performance of the wind turbine equipment and the efficiency of the wind farm.

[00150] For example, the user may set a weighting w for each the power generation indicator information, the comprehensive score of the wind turbine equipment= wl * normalized EBA * the EBA credibility + w2 * normalized TBA * the TBA credibility + w3 * normalized power loss * the credibility of power loss, wherein wl + w2 + w3 = 1, wherein the normalized EBA of the wind turbine equipment = (current EBA of the wind turbine equipment - the queried minimum EBA of all the wind turbine equipment)/(the queried maximum EBA of all the wind turbine equipment - the queried minimum EBA of all the wind turbine equipment). The normalized TBA is the same as the EBA, normalized power loss = 1 - (current power loss of the wind turbine equipment - the queried minimum power loss of all the wind turbine equipment)/ (the queried maximum power loss of all the wind turbine equipment - the queried minimum power loss of all the wind turbine equipment), and finally a comprehensive score is obtained. Similarly, this method may be applied to the wind farm to calculate a comprehensive score of each of the wind farms, so as to compare all of the wind farms.

[00151] In summary, in the method for displaying the indicator information of the wind farm according to the embodiments of the present disclosure, the history data information of the at least one wind turbine equipment in the wind farm is acquired, wherein the history data information includes the power generation capacity information and the time information in each power generation status; then, the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm are determined based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information includes at least one of the EBA, the TBA and the power loss; next, the credibility of the power generation indicator information of the at least one wind turbine equipment and the credibility of the power generation indicator information of the wind farm are determined based on the time information in the history data information of the at least one wind turbine equipment; and finally, the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof are displayed. In the aforementioned solution, power generation situations of the wind farm are displayed more comprehensively by determining the three types of indicator information and the credibility corresponding to the three types of indicator information, such that the problems of poor quality evaluation and incomprehensive display of the status of the wind farm are solved, and the comprehensiveness in displaying the indicator information of the wind farm is increased.

[00152] FIG. 9 is a block diagram of an apparatus for displaying indicator information of a wind farm according to an exemplary embodiment. As shown in FIG. 9, the apparatus for displaying the indicator information of the wind farm can be implemented as all or part of a computer device by hardware or a combination of software and hardware, so as to perform the steps in any one of the embodiments shown in FIG. 3 and FIG. 4. For example, the system may be the system for displaying the indicator information shown in FIG. 1, the wind turbine equipment may be the wind turbine equipment 110 shown in FIG. 1, the wind farm may be the wind farm 120 shown in FIG. 1, and the computer device may be the computer device 130 shown in FIG. 1. The apparatus for displaying the indicator information of the wind farm may include:

[00153] a data acquiring module 910, configured to acquire history data information of at least one wind turbine equipment in a wind farm, wherein the history data information includes power generation capacity information and time information in each power generation status;

[00154] an indicator determining module 920, configured to determine power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information includes at least one of energy based availability (EBA), time based availability (TBA), and power loss;

[00155] a credibility determining module 930, configured to determine credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment; and [00156] an information displaying module 940, configured to display the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof.

[00157] Optionally, the power generation capacity information includes actual power generation capacity and theoretical power generation capacity of corresponding wind turbine equipment; and

[00158] the time information includes total time, connectionless time, no -computing time and unavailable time.

[00159] Optionally, in response to the indicator information including at least the EBA, the indicator determining module 920 includes:

[00160] a first indicator obtaining sub-module, configured to obtain EBA of each the wind turbine equipment by calculating a ratio of actual power generation capacity to theoretical power generation capacity of each the wind turbine equipment; and [00161] a first entire wind farm indicator obtaining sub-module, configured to obtain EBA of the wind farm by calculating a ratio of a sum of actual power generation capacity of the at least one wind turbine equipment to a sum of theoretical power generation capacity of the at least one wind turbine equipment in the wind farm.

[00162] Optionally, in response to the indicator information including at least the EBA, the credibility determining module 930 includes: [00163] a first credibility acquiring sub-module, configured to acquire EBA credibility of each the wind turbine equipment based on a ratio of connectionless time to total time of each the wind turbine equipment; and

[00164] a first entire wind farm credibility acquiring sub-module, configured to acquire EBA credibility of the wind farm based on a ratio of connectionless time mean to total time of the at least one wind turbine equipment.

[00165] Optionally, in response to the indicator information including at least the TBA, the indicator determining module 920 includes:

[00166] a second indicator obtaining sub-module, configured to obtain TBA of each the wind turbine equipment by calculating a ratio of a difference between total time, unavailable time, and no-computing time of each the wind turbine equipment to a difference between the total time and the no-computing time of each the wind turbine equipment;

[00167] a first mean acquiring sub-module, configured to acquire unavailable time mean by averaging the unavailable time of the at least one wind turbine equipment in the wind farm; [00168] a second mean acquiring sub-module, configured to acquire no-computing time mean by averaging the no-computing time of the at least one wind turbine equipment in the wind farm; and

[00169] a second entire wind farm indicator obtaining sub-module, configured to obtain TBA of the wind farm by calculating a ratio of a difference between the total time and a first time mean to a difference between the total time and the no -computing time mean, wherein the first time mean is a sum of the unavailable time mean and the no-computing time mean. [00170] Optionally, in response to the indicator information including at least the TBA, the credibility determining module 930 includes:

[00171] a second credibility acquiring sub-module, configured to acquire TBA credibility of each the wind turbine equipment based on a ratio of the no-computing time to the total time of each the wind turbine equipment; and

[00172] a second entire wind farm credibility acquiring sub-module, configured to acquire TBA credibility of the wind farm based on a ratio of the no-computing time mean to the total time of the at least one wind turbine equipment.

[00173] Optionally, the information displaying module 940 includes:

[00174] an information ranking sub-module, configured to rank the wind turbine equipment and the wind farm according to power generation power based on a predetermined weighting set by the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm and the corresponding credibility thereof.

[00175] It should be noted that the apparatus provided by the present embodiment only takes division of all the functional modules as an example for explanation when implementing its functions. In practice, the above functions can be assigned to the different functional modules to be finished according to actual need. That is, the internal structure of the apparatus is divided into different functional modules to finish all or part of the functions described above .

[00176] With regard to the apparatus in the aforesaid embodiment, the specific manner in which the respective modules perform the operations has been described in detail in embodiments of the method, and will not be explained in detail herein.

[00177] An exemplary embodiment of the present disclosure provides an apparatus for displaying indicator information of a wind farm. The apparatus for displaying the indicator information of the wind farm may be implemented as all or part of a computer device by hardware or a combination of software and hardware, so as to perform the steps in any one of the embodiments shown in FIG. 3 and FIG. 4. For example, the system may be the system for displaying indicator information shown in FIG. 1, the wind turbine equipment may be the wind turbine equipment 110 shown in FIG. 1, the wind farm may be the wind farm 120 shown in FIG. 1, and the computer device may be the computer device 130 shown in FIG. 1. The apparatus for displaying the indicator information of the wind farm further includes a processor and a memory for storing an executable instruction by the processor, wherein [00178] the processor is configured to:

[00179] acquire history data information of at least one wind turbine equipment in a wind farm, wherein the history data information includes power generation capacity information and time information in each power generation status;

[00180] determine power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information includes at least one of energy based availability (EBA), time based availability (TBA), and power loss;

[00181] determine credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment; and [00182] display the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof.

[00183] Optionally, the power generation capacity information includes actual power generation capacity and theoretical power generation capacity of corresponding wind turbine equipment; and

[00184] the time information includes total time, connectionless time, no -computing time and unavailable time.

[00185] Optionally, in response to the indicator information including at least the EBA, determining the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment includes:

[00186] obtaining EBA of each the wind turbine equipment by calculating a ratio of actual power generation capacity to theoretical power generation capacity of each the wind turbine equipment; and

[00187] obtaining EBA of the wind farm by calculating a ratio of a sum of actual power generation capacity of the at least one wind turbine equipment to a sum of theoretical power generation capacity of the at least one wind turbine equipment in the wind farm.

[00188] Optionally, in response to that the indicator information including at least the EBA, determining the credibility of the power generation indicator information of the at least one wind turbine equipment and the credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment includes:

[00189] acquiring EBA credibility of each the wind turbine equipment based on a ratio of connectionless time to total time of each the wind turbine equipment; and [00190] acquiring EBA credibility of the wind farm based on a ratio of connectionless time mean to total time of the at least one wind turbine equipment.

[00191] Optionally, in response to the indicator information including at least the TBA, determining the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment includes:

[00192] obtaining TBA of each the wind turbine equipment by calculating a ratio of a difference between total time and unavailable time and no-computing time of each the wind turbine equipment to a difference between the total time and the no -computing time of each the wind turbine equipment;

[00193] acquiring unavailable time mean by averaging the unavailable time of the at least one wind turbine equipment in the wind farm;

[00194] acquiring no-computing time mean by averaging the no-computing time of the at least one wind turbine equipment in the wind farm; and

[00195] obtaining TBA of the wind farm by calculating a ratio of a difference between the total time and a first time mean to a difference between the total time and the no-computing time mean, wherein the first time mean is a sum of the unavailable time mean and the no-computing time mean.

[00196] Optionally, in response to the indicator information including at least the TBA, determining the credibility of the power generation indicator information of the at least one wind turbine equipment and the credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment includes:

[00197] acquiring TBA credibility of each the wind turbine equipment based on a ratio of the no-computing time to the total time of each the wind turbine equipment; and [00198] acquiring TBA credibility of the wind farm based on a ratio of the no -computing time mean to the total time of the at least one wind turbine equipment.

[00199] Optionally, displaying the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof includes:

[00200] ranking the wind turbine equipment and the wind farm according to power generation power based on a predetermined weighting set by the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm and the corresponding credibility thereof.

[00201] FIG. 10 is a schematic structural diagram of a computer device according to an exemplary embodiment. The computer device 1000 includes a central processing unit (CPU) 1001, a system memory 1004 including a random access memory (RAM) 1002 and a read-only memory (ROM) 1003, and a system bus 1005 connecting the system memory 1004 and the CPU 1001. The computer device 1000 further includes a basic input/output (I/O) system 1006 which helps to transmit information among various components within the computer device, and a mass storage device 1007 for storing an operating system 1013, an application 1014 and other program modules 1015. [00202] The basic I/O system 1006 includes a display 1008 for displaying information and an input device 1009, such as a mouse, a keyboard and the like, for inputting information by the user. Both the display 1008 and the input device 1009 are connected to the CPU 1001 through an input/output controller 1010 connected to the system bus 1005. The basic I/O system 1006 may also include the input/output controller 1010 for receiving and processing input from a plurality of other devices, such as the keyboard, the mouse, or an electronic stylus. Similarly, the input/output controller 1010 further provides output to the display, a printer or other types of output devices.

[00203] The mass storage device 1007 is connected to the CPU 1001 through a mass storage controller (not shown) connected to the system bus 1005. The mass storage device 1007 and a computer-readable medium associated therewith provide non-volatile storage for the computer device 1000. That is, the mass storage device 1007 may include the computer-readable medium (not shown), such as a hard disk or a compact disc read-only memory (CD-ROM) driver.

[00204] Without loss of generality, the computer-readable medium may include a computer storage medium and a communication medium. The computer storage medium includes volatile and non-volatile, removable and non -removable media implemented in any method or technology for storage of information such as a computer-readable instruction, a data structure, a program module or other data. The computer storage medium includes an RAM, an ROM, an erasable programmable read only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a CD-ROM, a digital video disc (DVD) or other optical storage; and a tape cassette, a magnetic tape, a magnetic disk storage or other magnetic storage devices. Of course, it will be known by a person skilled in the art that the computer storage medium is not limited to above. The above system memory 1004 and the mass storage device 1007 may be collectively referred to as the memory.

[00205] According to various embodiments of the present disclosure, the computer device 1000 may also be operated by being connected by a network such as the Internet to a remote computer device. That is, the computer device 1000 may be connected to the network 1012 by a network interface unit 1011 connected to the system bus 1005, or that is, the computer device 1000 may be connected to other types of networks or remote computer systems (not shown) by using the network interface unit 1011.

[00206] The memory further includes one or more programs stored in the memory. The CPU 1001 implements all or part of the steps of the method shown in FIG. 3 or FIG. 4 by executing the one or more programs. [00207] It is known by those skilled in the art that in one or more of the above examples, the functions described in the embodiments of the present disclosure may be implemented by hardware, software, firmware or any combination thereof. When being implemented in the software, these functions may be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on the computer-readable storage medium. The computer-readable storage medium includes a computer storage medium and a communication medium, wherein the communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The storage medium may be any available medium accessible by a general computer or dedicated computer.

[00208] An embodiment of the present disclosure further provides a computer storage medium for storing a computer software instruction used for the aforementioned apparatus. The computer storage medium includes a program designed for executing the method for displaying the indicator information of the wind farm.

[00209] Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the description and practice of the present disclosure. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure following the general principles thereof and including common knowledge or commonly used technical measures which are not disclosed herein. The description and the embodiments are to be considered as exemplary only, with a true scope and spirit of the present disclosure indicated by the following claims.

[00210] It should be appreciated that the present disclosure is not limited to the exact construction that has been described above and illustrated in the accompanying drawings, and that various modifications and changes can be made without departing from the scope thereof. It is intended that the scope of the present disclosure is only limited by the appended claims.

Claims

CLAIMS What is claimed is:

1. A method for displaying indicator information of a wind farm, the method comprising: acquiring history data information of at least one wind turbine equipment in a wind farm, wherein the history data information comprises power generation capacity information and time information in each power generation status; determining power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information comprises at least one of energy based availability (EBA), time based availability (TBA), and power loss; determining credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment; and displaying the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof.

2. The method according to claim 1, wherein the power generation capacity information comprises actual power generation capacity and theoretical power generation capacity of corresponding wind turbine equipment; and the time information comprises total time, connectionless time, no -computing time, and unavailable time.

3. The method according to claim 2, wherein in response to the indicator information comprising at least the EBA, determining the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment comprises: obtaining EBA of each the wind turbine equipment by calculating a ratio of actual power generation capacity to theoretical power generation capacity of each the wind turbine equipment; and obtaining EBA of the wind farm by calculating a ratio of a sum of actual power generation capacity of the at least one wind turbine equipment to a sum of theoretical power generation capacity of the at least one wind turbine equipment in the wind farm.

4. The method according to claim 3, wherein in response to the indicator information comprising at least the EBA, determining the credibility of the power generation indicator information of the at least one wind turbine equipment and the credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment comprises: acquiring EBA credibility of each the wind turbine equipment based on a ratio of connectionless time to total time of each the wind turbine equipment; and acquiring EBA credibility of the wind farm based on a ratio of connectionless time mean to total time of the at least one wind turbine equipment.

5. The method according to claim 2, wherein in response to the indicator information comprising at least the TBA, determining the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment comprises: obtaining TBA of each the wind turbine equipment by calculating a ratio of a difference between total time, unavailable time, and no-computing time of each the wind turbine equipment to a difference between the total time and the no -computing time of each the wind turbine equipment; acquiring unavailable time mean by averaging the unavailable time of the at least one wind turbine equipment in the wind farm; acquiring no-computing time mean by averaging the no-computing time of the at least one wind turbine equipment in the wind farm; and obtaining TBA of the wind farm by calculating a ratio of a difference between the total time and a first time mean to a difference between the total time and the no -computing time mean, wherein the first time mean is a sum of the unavailable time mean and the no-computing time mean.

6. The method according to claim 5, wherein in response to the indicator information comprising at least the TBA, determining the credibility of the power generation indicator information of the at least one wind turbine equipment and the credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment comprises: acquiring TBA credibility of each the wind turbine equipment based on a ratio of the no-computing time to the total time of each the wind turbine equipment; and acquiring TBA credibility of the wind farm based on a ratio of the no -computing time mean to the total time of the at least one wind turbine equipment.

7. The method according to claim 1, wherein displaying the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof comprises: ranking the wind turbine equipment and the wind farm according to power generation power based on a predetermined weighting set by the power generation indicator information of the at least one wind turbine equipment and the power generation indicator information of the wind farm and the corresponding credibility thereof.

8. An apparatus for displaying indicator information of a wind farm, the apparatus comprising: a data acquiring module, configured to acquire history data information of at least one wind turbine equipment in a wind farm, wherein the history data information comprises power generation capacity information and time information in each power generation status; an indicator determining module, configured to determine power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information comprises at least one of energy based availability (EBA), time based availability (TBA), and power loss; a credibility determining module, configured to determine credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment; and an information displaying module, configured to display the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof.

9. An apparatus for displaying indicator information of a wind farm, the apparatus comprising: a processor; and a memory for storing an executable instruction executable by the processor, wherein the processor is configured to: acquire history data information of at least one wind turbine equipment in a wind farm, wherein the history data information comprises power generation capacity information and time information in each power generation status; determine power generation indicator information of the at least one wind turbine equipment and power generation indicator information of the wind farm based on the history data information of the at least one wind turbine equipment, wherein the power generation indicator information comprises at least one of energy based availability (EBA), time based availability (TBA), and power loss; determine credibility of the power generation indicator information of the at least one wind turbine equipment and credibility of the power generation indicator information of the wind farm based on the time information in the history data information of the at least one wind turbine equipment; and display the power generation indicator information of the at least one wind turbine equipment and the credibility thereof, the power generation indicator information of the wind farm and the credibility thereof.

10. A computer-readable storage medium storing an executable instruction, wherein the executable instruction is invoked and executed by a processor to perform the method for displaying the indicator information of the wind farm as defined in any one of claims 1 to 7.