Method, system, equipment and medium for evaluating the power generation increase rate before and after unit transformation

Abstract

The present invention discloses a method and system for evaluating the power generation improvement rate before and after the transformation of a unit, which specifically includes obtaining the unit dynamic power curve before and after the transformation, the forecast table of a single unit, and the minute-level wind speed and power generation data recorded by the SCADA system; calculating the power generation of the unit caused by the difference in local average wind speed before and after the transformation; calculating the actual power generation within the evaluation period before and after the transformation; calculating the power generation loss caused by the unit being unable to be connected to the grid due to factors such as power grid failure and power restriction before and after the transformation; calculating the power generation loss caused by the unit shutdown due to human factors before and after the transformation; and finally calculating the power generation of the unit within the evaluation period before and after the transformation and the power generation improvement rate. The present invention fully considers the influence of unstable wind speed, power grid failure, human factors, etc. on the power generation of wind turbines, and improves the accuracy of power generation evaluation before and after the transformation of the unit.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind power generation, and in particular relates to a method, system, equipment and medium for evaluating the power generation improvement rate before and after the transformation of a unit. Background Art

[0002] In recent years, the installed capacity of wind turbines in my country has continued to rise, wind power technology has developed rapidly, and new technologies and methods in the field of wind power have continued to emerge. In order to improve the performance of wind turbines, reduce operation and maintenance costs, and increase the power generation of units, wind power operators have an increasingly urgent need to carry out technical transformation of wind turbines that have been put into operation earlier.

[0003] At present, when evaluating the power generation of wind farms before and after the transformation of units, the method of comparing the total power generation of the units before and after the transformation is usually adopted. This method has the following defects:

[0004] (1) Large evaluation errors: The wind resources are different every year, and the wind speeds of wind farms are different in different periods. It is difficult to determine whether the increase in power generation is due to technical transformation or the increase or decrease in power generation is caused by the change in wind speed in each year. Therefore, it is impossible to evaluate the increase in power generation in each year based on the actual wind conditions in each year. For example, the Chinese patent document entitled "A performance evaluation method, device, equipment and storage medium for a wind turbine generator set" with application publication number CN110826899A does not take into account the difference in wind speed resources in different periods and the power generation losses caused by human factors, power grid failures, etc., and the calculation error is large.

[0005] (2) The power generation loss caused by factors such as shutdown due to unit failure is not taken into account, and the power generation improvement rate of the unit cannot be fully evaluated; for example, the Chinese patent document with application publication number CN112231361A, entitled A method for evaluating wind power project power generation based on wind turbine operation data, only considers the actual wind energy resource level in the calculation of power generation, and does not consider the power generation loss caused by human factors, power grid failure, etc.

[0006] Therefore, the existing power generation improvement rate assessment method cannot meet the requirements for refined management of wind farms. Summary of the invention

[0007] The purpose of the present invention is to provide a method, system, device and medium for evaluating the power generation improvement rate before and after the unit transformation, so as to solve the problems of large evaluation errors caused by not considering the impact of wind conditions in different years on the power generation of the unit, and the inability to comprehensively evaluate the power generation improvement rate by not considering the power generation loss caused by unit failure.

[0008] The present invention solves the above technical problems through the following technical solutions: a method for evaluating the power generation improvement rate before and after the transformation of a unit, comprising the following steps:

[0009] Obtain the dynamic power curve of the unit before and after the transformation, the forecast table of a single unit, and the minute-level wind speed and power generation data recorded by the SCADA system;

[0010] The power generation of the unit caused by the difference in local average wind speed during the evaluation period before the transformation is calculated based on the dynamic power curve of the unit before the transformation and the minute-level wind speed recorded by the SCADA system. The power generation of the unit caused by the difference in local average wind speed during the evaluation period after the transformation is calculated based on the dynamic power curve of the transformed unit and the minute-level wind speed recorded by the SCADA system. The pre-transformation assessment period is equal to the post-transformation assessment period;

[0011] The actual power generation during the evaluation period before the transformation was obtained based on the power generation data recorded by the SCADA system before the transformation The actual power generation during the evaluation period after the transformation is obtained based on the power generation data recorded by the SCADA system after the transformation.

[0012] The reduction coefficient method is used to calculate the power generation loss caused by the unit's failure to connect to the grid during the evaluation period before the transformation. Or calculate the power generation loss due to the inability of the unit to be connected to the grid during the assessment period before the transformation based on the impact time of the unit being unable to be connected to the grid recorded in the forecast table of the single unit before the transformation, the dynamic power curve of the unit during the impact time of the unit being unable to be connected to the grid, and the minute-level wind speed recorded by the SCADA system during the impact time of the unit being unable to be connected to the grid

[0013] The reduction coefficient method is used to calculate the power generation loss caused by the unit's inability to connect to the grid during the evaluation period after the transformation. Or calculate the power generation loss due to the inability of the unit to be connected to the grid during the evaluation period after the transformation based on the impact time of the unit being unable to be connected to the grid recorded in the forecast table of the single unit after the transformation, the dynamic power curve of the unit during the impact time of the unit being unable to be connected to the grid, and the minute-level wind speed recorded by the SCADA system during the impact time of the unit being unable to be connected to the grid

[0014] The reduction coefficient method is used to calculate the power generation loss caused by human factors during the evaluation period before the transformation. Or calculate the power generation loss caused by human-caused downtime during the pre-transformation assessment period based on the downtime due to human factors recorded in the forecast table of a single unit before the transformation, the dynamic power curve of the unit during the downtime due to human factors, and the minute-level wind speed recorded by the SCADA system during the downtime due to human factors.

[0015] The reduction coefficient method is used to calculate the power generation loss caused by human factors during the evaluation period after the transformation. Or calculate the power generation loss caused by human-caused downtime during the evaluation period after the transformation based on the downtime due to human factors recorded in the forecast table of a single unit after the transformation, the dynamic power curve of the unit during the downtime due to human factors, and the minute-level wind speed recorded by the SCADA system during the downtime due to human factors.

[0016] According to the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the unit power generation E during the evaluation period before transformation 1 ; According to the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the power generation E of the unit during the evaluation period after the transformation 2 ;

[0017] According to the unit power generation E in the evaluation period before transformation 1 and the power generation of the unit during the evaluation period after the transformation E 2 The increase in power generation before and after the computer group transformation.

[0018] The present invention fully considers the influence of unstable wind speed on the power generation of wind turbines, eliminates or reduces the influence of differences in wind conditions from year to year on the power generation of the units, and improves the accuracy of power generation evaluation before and after the unit transformation; comprehensively considers the power generation loss caused by the inability of the unit to be connected to the grid due to factors such as power grid failure and power restriction, as well as the power generation loss of the unit caused by human factors or unit failure, and can more objectively and accurately evaluate the improvement rate of the unit's power generation, further improving the accuracy of power generation evaluation before and after the unit transformation.

[0019] Furthermore, the calculation formula for the unit power generation caused by the difference in local average wind speed during the evaluation period before or after the transformation is:

[0020]

[0021]

[0022] Where i = 1 or 2, f(v) represents the wind frequency distribution function, v represents the wind speed variable, A represents the scale parameter of the Weibull distribution, and k represents the shape parameter of the Weibull distribution; when i = 1, Indicates the pre-transformation assessment period The power generation of the unit caused by the difference in local average wind speed, Indicates the pre-transformation assessment period, Indicates the pre-transformation assessment period The maximum minute wind speed recorded by the SCADA system, P 1 (v) represents the function corresponding to the dynamic power curve of the unit before transformation; when i = 2, Indicates the evaluation period after transformation The power generation of the unit caused by the difference in local average wind speed, Represents the evaluation period after transformation, Indicates the evaluation period after transformation The maximum minute wind speed recorded by the SCADA system, P 2 (v) represents the function corresponding to the dynamic power curve of the unit after transformation;

[0023] Further, when the nacelle transfer function is known, the wind speed variable v is the wind speed variable corrected by the nacelle transfer function; when the nacelle transfer function is unknown, the wind speed variable v is the wind speed variable not corrected by the nacelle transfer function.

[0024] Furthermore, the reduction factor method is used to calculate the power generation Power generation Power generation or power generation The specific calculation formula is:

[0025]

[0026] Where i = 1 or 2, j = Net or People, when i = 1 and j = Net, Indicates the pre-transformation assessment period The power generation lost when the internal units cannot be connected to the grid, Indicates the pre-transformation assessment period The actual power generation within represents the first power generation reduction coefficient before transformation; when i=2 and j=Net, Indicates the evaluation period after transformation The power generation lost due to the failure of the internal units to connect to the grid, Indicates the evaluation period after transformation The actual power generation within represents the first power generation reduction coefficient after transformation; when i=1 and j=People, Indicates the pre-transformation assessment period The amount of power generated by the unit due to downtime caused by human factors, represents the second power generation reduction coefficient before transformation; when i=2 and j=People, Indicates the evaluation period after transformation The amount of power generated by the unit due to downtime caused by human factors, Indicates the reduction factor of the second power generation after transformation.

[0027] Furthermore, the first power generation reduction factor before transformation is The first power generation reduction factor after transformation Second power generation reduction factor before transformation And the reduction factor of the second power generation after transformation The value of is 5%.

[0028] Furthermore, the power generation Power generation Power generation or power generation The specific calculation formula is:

[0029]

[0030]

[0031] Where i = 1 or 2, j = Net or People, f(v) represents the wind frequency distribution function, v represents the wind speed variable, A represents the scale parameter of the Weibull distribution, and k represents the shape parameter of the Weibull distribution; when i = 1 and j = Net, Indicates the pre-transformation assessment period The power generation lost when the internal units cannot be connected to the grid, Indicates the pre-transformation assessment period The time affected by the failure of the internal unit to connect to the grid, Indicates the impact time The maximum minute-level wind speed recorded by the SCADA system, Indicates the impact time Function corresponding to the dynamic power curve of the internal unit; when i = 2 and j = Net, Indicates the evaluation period after transformation The power generation lost when the internal units cannot be connected to the grid, Indicates the evaluation period after transformation The time affected by the failure of the internal unit to connect to the grid, Indicates the impact time The maximum minute-level wind speed recorded by the SCADA system, Indicates the impact time Function corresponding to the dynamic power curve of the internal unit; when i = 1 and j = People, Indicates the pre-transformation assessment period The amount of power generated by the unit due to downtime caused by human factors, Indicates the pre-transformation assessment period Downtime due to human factors, Indicates downtime due to human factors The maximum minute-level wind speed recorded by the SCADA system, Indicates downtime due to human factors Function corresponding to the dynamic power curve of the internal unit; when i = 2 and j = People, Indicates the evaluation period after transformation The amount of power generated by the unit due to downtime caused by human factors, Indicates the evaluation period after transformation Downtime due to human factors, Indicates downtime due to human factors The maximum minute-level wind speed recorded by the SCADA system, Indicates downtime due to human factors Function corresponding to the dynamic power curve of the internal unit.

[0032] Furthermore, the calculation formula for the power generation increase rate before and after the unit transformation is:

[0033]

[0034]

[0035] in, Indicates the increase rate of power generation before and after the unit transformation.

[0036] The present invention also provides a system for evaluating the power generation improvement rate before and after the unit transformation, comprising:

[0037] An acquisition unit is used to obtain the dynamic power curve of the unit before and after the transformation, the forecast table of a single unit, and the minute-level wind speed and power generation data recorded by the SCADA system;

[0038] The first calculation unit is used to calculate the unit power generation caused by the local average wind speed difference during the evaluation period before the transformation based on the unit dynamic power curve before the transformation and the minute-level wind speed recorded by the SCADA system. The power generation of the unit caused by the difference in local average wind speed during the evaluation period after the transformation is calculated based on the dynamic power curve of the transformed unit and the minute-level wind speed recorded by the SCADA system. The pre-transformation assessment period is equal to the post-transformation assessment period;

[0039] The second calculation unit is used to obtain the actual power generation during the evaluation period before the transformation based on the power generation data recorded by the SCADA system before the transformation The actual power generation during the evaluation period after the transformation is obtained based on the power generation data recorded by the SCADA system after the transformation.

[0040] The third calculation unit is used to calculate the power generation loss caused by the unit's failure to connect to the grid during the evaluation period before the transformation by using the reduction coefficient method. Or calculate the power generation loss due to the inability of the unit to be connected to the grid during the assessment period before the transformation based on the impact time of the unit being unable to be connected to the grid recorded in the forecast table of the single unit before the transformation, the dynamic power curve of the unit during the impact time of the unit being unable to be connected to the grid, and the minute-level wind speed recorded by the SCADA system during the impact time of the unit being unable to be connected to the grid And it is used to calculate the power generation loss caused by the unit's failure to connect to the grid during the evaluation period after the transformation by using the reduction coefficient method. Or calculate the power generation loss due to the inability of the unit to be connected to the grid during the evaluation period after the transformation based on the impact time of the unit being unable to be connected to the grid recorded in the forecast table of the single unit after the transformation, the dynamic power curve of the unit during the impact time of the unit being unable to be connected to the grid, and the minute-level wind speed recorded by the SCADA system during the impact time of the unit being unable to be connected to the grid

[0041] The fourth calculation unit is used to calculate the power generation loss of the unit caused by human factors during the evaluation period before the transformation by using the reduction coefficient method Or calculate the power generation loss caused by human-caused downtime during the pre-transformation assessment period based on the downtime due to human factors recorded in the forecast table of a single unit before the transformation, the dynamic power curve of the unit during the downtime due to human factors, and the minute-level wind speed recorded by the SCADA system during the downtime due to human factors. And it is used to calculate the power generation loss of the unit caused by human factors during the evaluation period after the transformation by using the reduction coefficient method Or calculate the power generation loss caused by human-caused downtime during the evaluation period after the transformation based on the downtime due to human factors recorded in the forecast table of a single unit after the transformation, the dynamic power curve of the unit during the downtime due to human factors, and the minute-level wind speed recorded by the SCADA system during the downtime due to human factors.

[0042] The fifth calculation unit is used to calculate the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the unit power generation E during the evaluation period before transformation 1 ; According to the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the power generation E of the unit during the evaluation period after the transformation 2 ;

[0043] The sixth calculation unit is used to calculate the power generation E of the unit in the evaluation period before the transformation1 and the power generation of the unit during the evaluation period after the transformation E 2 The increase in power generation before and after the computer group transformation.

[0044] The present invention also provides a device, comprising: a memory for storing a computer program; and a processor for implementing the steps of the method for evaluating the power generation improvement rate before and after the unit transformation when executing the computer program.

[0045] The present invention also provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method for evaluating the power generation improvement rate before and after the unit transformation as described above are implemented.

[0046] Beneficial Effects

[0047] Compared with the prior art, the advantages of the present invention are:

[0048] The method, system, equipment and medium for evaluating the power generation improvement rate before and after unit transformation provided by the present invention fully consider the influence of unstable wind speed on the power generation of wind turbines, eliminate or reduce the influence of differences in wind conditions in different years on the power generation of units, and improve the accuracy of power generation evaluation before and after unit transformation; comprehensively consider the power generation loss caused by the inability of units to be connected to the grid due to factors such as power grid failure and power restriction, as well as the power generation loss of units caused by human factors or unit failures, and can more objectively and accurately evaluate the power generation improvement rate of the units, further improve the accuracy of power generation evaluation before and after unit transformation, realize comprehensive evaluation of the power generation improvement rate of the units, and meet the requirements of refined management of wind farms. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only one embodiment of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 It is a flow chart of the method for evaluating the power generation improvement rate before and after the unit transformation in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following is a clear and complete description of the technical solutions in the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] The technical solution of the present application is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0053] like Figure 1 As shown, the method for evaluating the power generation improvement rate before and after the unit transformation provided in this embodiment includes the following steps:

[0054] 1. Data acquisition

[0055] The dynamic power curve of the unit before the transformation, the forecast table of a single unit, the minute-level wind speed and power generation data recorded by the SCADA system are obtained, and the dynamic power curve of the unit after the transformation, the forecast table of a single unit, the minute-level wind speed and power generation data recorded by the SCADA system are obtained.

[0056] The method of obtaining the dynamic power curve of the unit before and after the transformation is a prior art, and reference may be made to the Chinese patent document with announcement number CN108509705A and titled Method and Apparatus for Calculating Power Curve of Wind Turbine Generator Unit at a Specific Site.

[0057] 2. Calculate the power generation of the unit due to the difference in local average wind speed

[0058] Wind resources vary from year to year, and wind speeds vary from period to period in a wind farm. Traditional methods do not consider the impact of wind resources or wind speed changes on power generation during the evaluation period, resulting in the evaluation of the power generation increase rate being unclear whether it is caused by wind resource changes or by transformation and improvement. In order to improve the accuracy of the evaluation, in one embodiment of the present invention, the power generation of the unit caused by the difference in local average wind speed is fully considered.

[0059] The specific calculation method of the unit power generation caused by the local average wind speed difference is:

[0060] The power generation of the unit caused by the difference in local average wind speed during the evaluation period before the transformation is calculated based on the dynamic power curve of the unit before the transformation and the minute-level wind speed recorded by the SCADA system. The power generation of the unit caused by the difference in local average wind speed during the evaluation period after the transformation is calculated based on the dynamic power curve of the transformed unit and the minute-level wind speed recorded by the SCADA system. The specific calculation formulas are:

[0061]

[0062]

[0063]

[0064] Where f(v) represents the wind frequency distribution function, v represents the wind speed variable, A represents the scale parameter of the Weibull distribution, and k represents the shape parameter of the Weibull distribution; Indicates the pre-transformation assessment period The power generation of the unit caused by the difference in local average wind speed, Indicates the pre-transformation assessment period, Indicates the pre-transformation assessment period The maximum minute wind speed recorded by the SCADA system, P 1 (v) represents the function corresponding to the dynamic power curve of the unit before transformation; Indicates the evaluation period after transformation The power generation of the unit caused by the difference in local average wind speed, Represents the evaluation period after transformation, Indicates the evaluation period after transformation The maximum minute wind speed recorded by the SCADA system, P 2 (v) represents the function corresponding to the dynamic power curve of the unit after transformation;

[0065] The wind speed behind the wind turbine rotor is affected by factors such as rotor shielding, turbulence, and wake, resulting in the wind speed measured by the nacelle anemometer not being sufficient to accurately reflect the power characteristics of the wind turbine. In order to improve the calculation accuracy of the unit power generation caused by the local average wind speed difference, the nacelle transfer function can be used to correct the wind speed variable v. The corrected wind speed variable v x Calculate power generation or Right now It is an existing technology to use the cabin transfer function to correct the wind speed variable v. For reference, Zheng Dazhou, Fu Xinhong, and Huang Shugen proposed a method for establishing a cabin wind speed transfer function and its application [J]. Oriental Steam Turbine, 2019, 12(4): 60-63.

[0066] In order to more accurately evaluate the increase in power generation before and after the transformation, the evaluation period before and after the transformation is at least one year, that is, One year or more.

[0067] 3. Calculate the actual power generation during the evaluation period before and after the transformation

[0068] The SCADA system records the power generation data. Based on the evaluation period before and after the transformation and the power generation data recorded by the SCADA system before and after the transformation, the actual power generation during the evaluation period before the transformation can be calculated. And the actual power generation during the evaluation period after the transformation

[0069] 4. Calculate the power generation loss caused by the unit’s inability to connect to the grid due to grid failure, power restriction, etc.

[0070] There are two ways to calculate the power generation lost when the unit cannot be connected to the grid: one is the reduction coefficient method, which is simple to calculate; the other is the refined calculation method, which has high calculation accuracy. In one embodiment of the present invention, the reduction coefficient method or the refined calculation method can be used to calculate the power generation lost when the unit cannot be connected to the grid. The reduction coefficient method is simpler to calculate than the refined calculation method, and the refined calculation method has high calculation accuracy compared to the reduction coefficient method.

[0071] For the sake of simplicity, the specific calculation formula for the power generation loss due to the inability of the computer group to connect to the grid using the reduction coefficient method is:

[0072]

[0073]

[0074] in, Indicates the pre-transformation assessment period The power generation lost due to the failure of the internal units to connect to the grid, Indicates the reduction factor of the first power generation before transformation; Indicates the evaluation period after transformation The power generation lost due to the failure of the internal units to connect to the grid, It indicates the reduction factor of the first power generation after transformation.

[0075] Usually, wind turbines cannot generate electricity due to failures, maintenance, and power outages. Considering the current manufacturing level of wind turbines and the experience of wind farm operation, management, and maintenance, the power generation reduction factor of wind turbines is about 5%, which is the first power generation reduction factor before transformation. and the first power generation reduction factor after transformation The value of is 5%.

[0076] In order to improve the calculation accuracy, the specific calculation formula for the power generation loss due to the inability of the computer group to connect to the grid is:

[0077]

[0078]

[0079] in, Indicates the pre-transformation assessment period The time affected by the failure of the internal unit to connect to the grid, Indicates the impact time The maximum minute-level wind speed recorded by the SCADA system, Indicates the impact time Function corresponding to the dynamic power curve of the internal unit; Indicates the evaluation period after transformation The time affected by the failure of the internal unit to connect to the grid, Indicates the impact time The maximum minute-level wind speed recorded by the SCADA system, Indicates the impact time Function corresponding to the dynamic power curve of the internal unit. Impact time Obtained through statistics from the forecast report of a single unit.

[0080] 5. Calculate the power generation loss caused by human factors

[0081] Similarly, there are two ways to calculate the power generation lost by the unit due to shutdown caused by human factors: one is the reduction coefficient method, which is simple to calculate; the other is the refined calculation method, which has high calculation accuracy.

[0082] For the sake of simplicity, the specific calculation formula for calculating the power generation loss of the unit caused by human factors shutdown using the reduction coefficient method is:

[0083]

[0084]

[0085] in, Indicates the pre-transformation assessment period The amount of power generated by the unit due to downtime caused by human factors, Indicates the reduction factor of the second power generation before transformation; Indicates the evaluation period after transformation The amount of power generated by the unit due to downtime caused by human factors, Indicates the reduction factor of the second power generation after transformation.

[0086] In this embodiment, the second power generation reduction coefficient before transformation and the reduction factor of the second power generation after transformation The value of is 5%.

[0087] In order to improve the calculation accuracy, the specific calculation formula for calculating the power generation loss of the unit caused by human factors shutdown is:

[0088]

[0089]

[0090] in, Indicates the pre-transformation assessment period Downtime due to human factors, Indicates downtime due to human factors The maximum minute-level wind speed recorded by the SCADA system, Indicates downtime due to human factors Function corresponding to the dynamic power curve of the internal unit; Indicates the evaluation period after transformation Downtime due to human factors, Indicates downtime due to human factors The maximum minute-level wind speed recorded by the SCADA system, Indicates downtime due to human factors Function corresponding to the dynamic power curve of the internal unit. Obtained through statistics from the forecast report of a single unit.

[0091] 6. Calculate the power generation of the unit during the evaluation period before and after the transformation

[0092] After calculating the unit power generation caused by the difference in local average wind speed during the evaluation period and the power generation lost by the power grid and human factors according to unified standards, the unit power generation during the evaluation period before and after the transformation and the evaluation and analysis of the improvement rate are carried out to improve the accuracy of the evaluation of the power generation improvement rate before and after the transformation.

[0093] The power generation of the unit during the evaluation period before transformation E 1 The specific calculation formula is:

[0094]

[0095] The power generation of the unit during the evaluation period after the transformation E 2 The specific calculation formula is:

[0096]

[0097] 7. Calculate the increase rate of unit power generation before and after the transformation

[0098] The specific calculation formula for the power generation increase rate of the unit before and after the transformation is:

[0099]

[0100] Among them, the improvement rate is positive, indicating that the power generation of the unit has been improved after the transformation; the improvement rate is negative, indicating that the power generation of the unit has not been improved after the transformation. The effect of the transformation can be judged by comparing it with the expected power generation increase rate of the unit transformation. If the expected power generation increase rate is achieved, the transformation is successful, otherwise it fails.

[0101] The present embodiment provides a system for evaluating the power generation improvement rate before and after unit transformation, including an acquisition unit, a first calculation unit, a second calculation unit, a third calculation unit, a fourth calculation unit, a fifth calculation unit and a sixth calculation unit.

[0102] The acquisition unit is used to obtain the dynamic power curve of the unit before and after the transformation, the forecast table of a single unit, and the minute-level wind speed and power generation data recorded by the SCADA system.

[0103] The first calculation unit is used to calculate the unit power generation caused by the local average wind speed difference during the evaluation period before the transformation based on the unit dynamic power curve before the transformation and the minute-level wind speed recorded by the SCADA system. As shown in formulas (1) and (3), the unit power generation caused by the difference in local average wind speed during the evaluation period after the transformation is calculated based on the dynamic power curve of the transformed unit and the minute-level wind speed recorded by the SCADA system. As shown in formulas (2) and (3), the evaluation period before transformation is equal to the evaluation period after transformation.

[0104] The second calculation unit is used to obtain the actual power generation during the evaluation period before the transformation based on the power generation data recorded by the SCADA system before the transformation The actual power generation during the evaluation period after the transformation is obtained based on the power generation data recorded by the SCADA system after the transformation.

[0105] The third calculation unit is used to calculate the power generation loss caused by the unit's failure to connect to the grid during the evaluation period before the transformation by using the reduction coefficient method. As shown in formula (4), the power generation loss due to the inability to connect to the grid during the evaluation period before the transformation can be calculated based on the impact time of the unit being unable to connect to the grid recorded in the forecast table of the single unit before the transformation, the dynamic power curve of the unit during the impact time of the unit being unable to connect to the grid, and the minute-level wind speed recorded by the SCADA system during the impact time of the unit being unable to connect to the grid. As shown in formula (6); and used to calculate the power generation loss caused by the unit's inability to connect to the grid during the evaluation period after the transformation using the reduction coefficient method As shown in formula (5), the power generation loss caused by the inability of the unit to be connected to the grid during the evaluation period after the transformation can be calculated based on the unit's grid-connected impact time recorded in the forecast table of the single unit after the transformation, the unit's dynamic power curve during the grid-connected impact time, and the minute-level wind speed recorded by the SCADA system during the grid-connected impact time. As shown in formula (7).

[0106] The fourth calculation unit is used to calculate the power generation loss of the unit caused by human factors during the evaluation period before the transformation by using the reduction coefficient method As shown in formula (8), the power generation loss caused by human-caused downtime during the pre-transformation assessment period can be calculated based on the human-caused downtime recorded in the forecast table of a single unit before the transformation, the unit dynamic power curve during the human-caused downtime, and the minute-level wind speed recorded by the SCADA system during the human-caused downtime: As shown in formula (10); and used to calculate the power generation loss of the unit caused by human factors during the evaluation period after the transformation using the reduction coefficient method As shown in formula (9), the power generation loss caused by human-caused downtime during the evaluation period after the transformation can be calculated based on the downtime caused by human factors recorded in the forecast table of a single unit after the transformation, the dynamic power curve of the unit during the downtime caused by human factors, and the minute-level wind speed recorded by the SCADA system during the downtime caused by human factors. As shown in formula (11).

[0107] The fifth calculation unit is used to calculate the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the unit power generation E during the evaluation period before transformation 1 , as shown in formula (12); according to the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the power generation E of the unit during the evaluation period after the transformation 2 , as shown in formula (13).

[0108] The sixth calculation unit is used to calculate the power generation E of the unit in the evaluation period before the transformation 1 and the power generation of the unit during the evaluation period after the transformation E 2 The increase rate of power generation before and after the computer group transformation is shown in formula (14).

[0109] This embodiment also proposes a device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for evaluating the power generation improvement rate before and after the unit transformation as described above are implemented.

[0110] Exemplarily, the computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the computer device. For example, the computer program may be divided into an acquisition unit, a first calculation unit, a second calculation unit, a third calculation unit, a fourth calculation unit, a fifth calculation unit, and a sixth calculation unit, and the specific functions of each unit are as described above.

[0111] The device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The device may include, but is not limited to, a processor and a memory. Those skilled in the art may understand that the power generation improvement rate assessment system before and after the unit transformation is only an example of the device and does not constitute a limitation on the device. It may include more or fewer components than the system, or combine certain components, or different components. For example, the device may also include input and output devices, network access devices, buses, etc.

[0112] The processor may be a central processing unit (CPU), 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, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0113] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the power generation improvement rate evaluation system before and after the unit transformation by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0114] When the computer program is executed by the processor, the steps of the method for evaluating the power generation improvement rate before and after the unit transformation are implemented.

[0115] If the module / unit integrated in the system for evaluating the power generation rate increase before and after the transformation of the unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include electrical carrier signals and telecommunication signals.

[0116] What is disclosed above is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or modifications within the technical scope disclosed in the present invention, which should be covered within the protection scope of the present invention.

Claims

1. A method for evaluating the power generation increase rate before and after unit transformation, characterized in that: The following steps are involved: Obtain the dynamic power curve of the unit before and after the transformation, the forecast table of a single unit, and the minute-level wind speed and power generation data recorded by the SCADA system; The power generation of the unit caused by the difference in local average wind speed during the evaluation period before the transformation is calculated based on the dynamic power curve of the unit before the transformation and the minute-level wind speed recorded by the SCADA system. The power generation of the unit caused by the difference in local average wind speed during the evaluation period after the transformation is calculated based on the dynamic power curve of the transformed unit and the minute-level wind speed recorded by the SCADA system. The pre-transformation assessment period is equal to the post-transformation assessment period; The actual power generation during the evaluation period before the transformation was obtained based on the power generation data recorded by the SCADA system before the transformation The actual power generation during the evaluation period after the transformation is obtained based on the power generation data recorded by the SCADA system after the transformation. Calculate the power generation loss caused by the unit’s inability to connect to the grid during the evaluation period before the transformation Calculate the power generation loss caused by the unit’s inability to connect to the grid during the evaluation period after the transformation Calculate the power generation loss caused by human factors during the evaluation period before the transformation Calculate the power generation loss caused by human factors during the evaluation period after the transformation According to the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the unit power generation E during the evaluation period before transformation 1 ; According to the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the power generation E of the unit during the evaluation period after the transformation 2 ; According to the unit power generation E in the evaluation period before transformation 1 and the power generation of the unit during the evaluation period after the transformation E 2 The increase rate of power generation before and after the computer group transformation; The calculation formula for the unit power generation caused by the difference in local average wind speed during the evaluation period before or after the transformation is: Where i = 1 or 2, f(v) represents the wind frequency distribution function, v represents the wind speed variable, A represents the scale parameter of the Weibull distribution, and k represents the shape parameter of the Weibull distribution; when i = 1, Indicates the pre-transformation assessment period The power generation of the unit caused by the difference in local average wind speed, Indicates the pre-transformation assessment period, Indicates the pre-transformation assessment period The maximum minute wind speed recorded by the SCADA system, P 1 (v) represents the function corresponding to the dynamic power curve of the unit before transformation; when i = 2, Indicates the evaluation period after transformation The power generation of the unit caused by the difference in local average wind speed, Represents the evaluation period after transformation, Indicates the evaluation period after transformation The maximum minute wind speed recorded by the SCADA system, P 2 (v) represents the function corresponding to the dynamic power curve of the unit after transformation; The calculation formula for the power generation increase rate before and after the unit transformation is: in, Indicates the increase rate of power generation before and after the unit transformation.

2. The method for evaluating the power generation improvement rate before and after the unit transformation according to claim 1, characterized in that: When the cabin transfer function is known, the wind speed variable v is the wind speed variable corrected by the cabin transfer function; when the cabin transfer function is unknown, the wind speed variable v is the wind speed variable not corrected by the cabin transfer function.

3. The method for evaluating the power generation increase rate before and after the unit transformation according to claim 1, characterized in that: Calculate power generation using the reduction factor method Power generation Power generation or power generation The specific calculation formula is: Where i = 1 or 2, j = Net or People, when i = 1 and j = Net, Indicates the pre-transformation assessment period The power generation lost due to the failure of the internal units to connect to the grid, Indicates the pre-transformation assessment period The actual power generation within represents the first power generation reduction coefficient before transformation; when i = 2 and j = Net, Indicates the evaluation period after transformation The power generation lost due to the failure of the internal units to connect to the grid, Indicates the evaluation period after transformation The actual power generation within represents the first power generation reduction coefficient after transformation; when i=1 and j=People, Indicates the pre-transformation assessment period The amount of power generated by the unit due to downtime caused by human factors, represents the second power generation reduction coefficient before transformation; when i=2 and j=People, Indicates the evaluation period after transformation The amount of power generated by the unit due to downtime caused by human factors, Indicates the reduction factor of the second power generation after transformation.

4. The method for evaluating the power generation increase rate before and after the unit transformation according to claim 3 is characterized in that: The first power generation reduction coefficient before transformation The first power generation reduction factor after transformation Second power generation reduction factor before transformation And the reduction factor of the second power generation after transformation The value of is 5%.

5. The method for evaluating the power generation improvement rate before and after the unit transformation according to claim 1, characterized in that: Calculate power generation using refined calculation methods Power generation Power generation or power generation The specific calculation formula is: Where i = 1 or 2, j = Net or People, f(v) represents the wind frequency distribution function, v represents the wind speed variable, A represents the scale parameter of the Weibull distribution, and k represents the shape parameter of the Weibull distribution; when i = 1 and j = Net, Indicates the pre-transformation assessment period The power generation lost due to the failure of the internal units to connect to the grid, Indicates the pre-transformation assessment period The time affected by the failure of the internal unit to connect to the grid, Indicates the impact time The maximum minute-level wind speed recorded by the SCADA system, Indicates the impact time Function corresponding to the dynamic power curve of the internal unit; when i = 2 and j = Net, Indicates the evaluation period after transformation The power generation lost due to the failure of the internal units to connect to the grid, Indicates the evaluation period after transformation The time affected by the failure of the internal unit to connect to the grid, Indicates the impact time The maximum minute-level wind speed recorded by the SCADA system, Indicates the impact time Function corresponding to the dynamic power curve of the internal unit; when i = 1 and j = People, Indicates the pre-transformation assessment period The amount of power generated by the unit due to downtime caused by human factors, Indicates the pre-transformation assessment period Downtime due to human factors, Indicates downtime due to human factors The maximum minute-level wind speed recorded by the SCADA system, Indicates downtime due to human factors Function corresponding to the dynamic power curve of the internal unit; when i = 2 and j = People, Indicates the evaluation period after transformation The amount of power generated by the unit due to downtime caused by human factors, Indicates the evaluation period after transformation Downtime due to human factors, Indicates downtime due to human factors The maximum minute-level wind speed recorded by the SCADA system, Indicates downtime due to human factors Function corresponding to the dynamic power curve of the internal unit.

6. A system for evaluating the power generation increase rate before and after unit transformation, characterized in that: include: An acquisition unit is used to obtain the dynamic power curve of the unit before and after the transformation, the forecast table of a single unit, and the minute-level wind speed and power generation data recorded by the SCADA system; The first calculation unit is used to calculate the unit power generation caused by the local average wind speed difference during the evaluation period before the transformation based on the unit dynamic power curve before the transformation and the minute-level wind speed recorded by the SCADA system. The power generation of the unit caused by the difference in local average wind speed during the evaluation period after the transformation is calculated based on the dynamic power curve of the transformed unit and the minute-level wind speed recorded by the SCADA system. The pre-transformation assessment period is equal to the post-transformation assessment period; The second calculation unit is used to obtain the actual power generation during the evaluation period before the transformation based on the power generation data recorded by the SCADA system before the transformation The actual power generation during the evaluation period after the transformation is obtained based on the power generation data recorded by the SCADA system after the transformation. The third calculation unit is used to calculate the power generation loss caused by the unit's failure to connect to the grid during the evaluation period before the transformation. And used to calculate the power generation loss caused by the unit's inability to connect to the grid during the evaluation period after the transformation The fourth calculation unit is used to calculate the power generation loss of the unit caused by human factors during the evaluation period before the transformation And used to calculate the power generation loss caused by human factors during the evaluation period after the transformation The fifth calculation unit is used to calculate the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the unit power generation E during the evaluation period before transformation 1 ; According to the power generation of the unit Actual power generation The power generation lost due to the unit’s failure to connect to the grid And the power generation loss caused by human factors Calculate the power generation E of the unit during the evaluation period after the transformation 2 ; The sixth calculation unit is used to calculate the power generation E of the unit in the evaluation period before the transformation 1 and the power generation of the unit during the evaluation period after the transformation E 2 The increase rate of power generation before and after the computer group transformation; The first calculation unit is used to calculate the power generation of the unit caused by the difference in local average wind speed during the evaluation period before or after the transformation, and the specific calculation formula is: Where i = 1 or 2, f(v) represents the wind frequency distribution function, v represents the wind speed variable, A represents the scale parameter of the Weibull distribution, and k represents the shape parameter of the Weibull distribution; when i = 1, Indicates the pre-transformation assessment period The power generation of the unit caused by the difference in local average wind speed, Indicates the pre-transformation assessment period, Indicates the pre-transformation assessment period The maximum minute wind speed recorded by the SCADA system, P 1 (v) represents the function corresponding to the dynamic power curve of the unit before transformation; when i = 2, Indicates the evaluation period after transformation The power generation of the unit caused by the difference in local average wind speed, Represents the evaluation period after transformation, Indicates the evaluation period after transformation The maximum minute wind speed recorded by the SCADA system, P 2 (v) represents the function corresponding to the dynamic power curve of the unit after transformation; The sixth calculation unit is used to calculate the power generation increase rate before and after the transformation of the computer group, and its specific calculation formula is: in, Indicates the increase rate of power generation before and after the unit transformation.

7. A device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the method for evaluating the power generation improvement rate before and after the transformation of a unit as claimed in any one of claims 1 to 5 when executing the computer program.

8. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for evaluating the power generation improvement rate before and after the transformation of a unit as claimed in any one of claims 1 to 5.

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