A method and system for analyzing the time-series matching degree between a wind farm and a load

Abstract

The present invention discloses a method and system for analyzing the temporal matching degree between a wind farm and a load, including: obtaining the output data of the wind farm and the load data in time series based on the same time interval; calculating the power generation of the wind farm, the power consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching power consumption between the output of the wind farm and the load based on the output data of the wind farm and the load data; calculating the temporal matching degree between the output of the wind farm and the load based on the power generation of the wind farm, the power consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching power consumption between the output of the wind farm and the load. By measuring the matching degree between the power generation output of the wind farm and the electrical load in time series, the present invention provides a basic support for formulating planning schemes such as the site selection and capacity determination of the wind farm.

Description

Technical Field

[0001] The present invention relates to the field of wind power generation, and particularly to a method and system for analyzing the time-series matching degree between a wind farm and a load. Background Art

[0002] As a green and clean energy source, wind power generation has seen a rapid increase in installed capacity in recent years. Taking China as an example, according to statistics, in 2018, the newly added grid-connected wind power installed capacity was 20.59 million kilowatts, and the cumulative grid-connected installed capacity reached 184 million kilowatts, accounting for 9.7% of the total installed power generation capacity. However, in some areas, the wind power output far exceeds the local load, and the power grid transmission capacity is limited, resulting in serious phenomena of wind curtailment and power rationing, causing huge economic losses and being unfavorable to the sustainable development of the wind power industry.

[0003] In order to effectively improve the consumption level of wind power, it is urgent to analyze the power and electricity balance characteristics of the regional power grid and study the matching degree between the wind farm and the load. Summary of the Invention

[0004] To solve the above-mentioned deficiencies in the prior art, the present invention provides a method and system for analyzing the time-series matching degree between a wind farm and a load. Since the output of the wind farm and the load are both time-series data, the time-series matching degree analysis can be carried out to master the power generation characteristics of wind power and the electricity consumption characteristics of the load, providing a basic support for formulating planning schemes such as the site selection and capacity determination of the wind farm.

[0005] A method for analyzing the time-series matching degree between a wind farm and a load provided by the present invention includes:

[0006] Obtaining the output data of the wind farm and the load data in time series based on the same time interval;

[0007] Calculating the power generation of the wind farm, the electricity consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching electricity consumption between the output of the wind farm and the load based on the output data of the wind farm and the load data;

[0008] Calculating the time-series matching degree between the output of the wind farm and the load based on the power generation of the wind farm, the electricity consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching electricity consumption between the output of the wind farm and the load.

[0009] Preferably, the calculating the power generation of the wind farm, the electricity consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching electricity consumption between the output of the wind farm and the load based on the output data of the wind farm and the load data includes:

[0010] Calculating the power generation of the wind farm based on the output data of the wind farm;

[0011] Calculating the electricity consumption of the load based on the load data;

[0012] Calculate the matching power threshold between the wind farm output and the load based on the line rated voltage, the line resistance between the grid connection point of the wind farm and the upstream transformer, and the line resistance between the load and the upstream transformer.

[0013] Obtain the matching generation power and matching power consumption between the wind farm output and the load at each moment based on the matching power threshold.

[0014] Process the matching generation power and matching power consumption to obtain two new array sequences, and calculate the Pearson correlation coefficient between the two sequences.

[0015] Calculate the matching generated energy and matching power consumption between the wind farm output and the load based on the matching generation power and matching power consumption.

[0016] Preferably, calculating the generated energy of the wind farm based on the wind farm output data includes:

[0017] Calculate the daily cumulative generated energy of the wind farm based on the wind farm output data.

[0018] Calculate the annual cumulative generated energy of the wind farm based on the daily cumulative generated energy.

[0019] Preferably, calculating the power consumption of the load based on the load data includes:

[0020] Calculate the daily cumulative power consumption of the line load based on the load data.

[0021] Calculate the annual cumulative power consumption of the load in the line based on the daily cumulative power consumption.

[0022] Preferably, the matching power threshold between the wind farm output and the load is calculated according to the following formula:

[0023]

[0024] In the formula: P match : The matching power threshold between the wind farm output and the load; ΔV max : The upper limit of allowable voltage fluctuation; V N : The line rated voltage; R line,W : The line resistance between the grid connection point of the wind farm and the upstream transformer; R line,L : The line resistance between the load and the upstream transformer.

[0025] Preferably, the matching generation power between the wind farm output and the load at each moment is calculated according to the following formula:

[0026]

[0027] In the formula: PmatchWIND,d,t : The matching power generation of the wind farm output and the load at time t on the dth day; P WIND,d,t : The nominal value of the active power output of the wind farm at time t on the dth day; P L,d,t : The active power value of the in-line load at time t on the dth day; P match : The matching power threshold of the wind farm output and the load;

[0028] The matching power consumption of the wind farm output and the load at each moment is calculated according to the following formula:

[0029]

[0030] In the formula: P matchL,d,t : The matching power consumption of the wind farm output and the load at time t on the dth day.

[0031] Preferably, the processing of the matching power generation and the matching power consumption includes:

[0032] Eliminating the data equal to 0 from the matching power generation and the matching power consumption.

[0033] Preferably, the Pearson correlation coefficient is calculated according to the following formula:

[0034]

[0035] In the formula: r match : The Pearson correlation coefficient; P matchWIND,d,t : The matching power generation of the wind farm output and the load at time t on the dth day; P matchWIND,i : The matching power generation of the wind farm output and the load; The average value of the matching power generation of the wind farm output and the load; P matchL,i : The matching power consumption of the wind farm output and the load; The average value of the matching power consumption of the wind farm output and the load; i: The number of the time series, i ∈ n; n The total number of time series.

[0036] Preferably, calculating the matching power generation amount and the matching power consumption amount of the wind farm output and the load based on the matching power generation and the matching power consumption includes:

[0037] Calculating the all-day matching power generation amount and the all-day matching power consumption amount of the wind farm output and the load every day based on the matching power generation and the matching power consumption;

[0038] Calculating the annual matching power generation amount and the annual matching power consumption amount of the wind farm output and the load based on the all-day matching power generation amount and the all-day matching power consumption amount of the wind farm output and the load every day.

[0039] Preferably, the time series matching degree of the wind farm output and the load is calculated according to the following formula:

[0040]

[0041] Where: K match : the time - series matching degree between the output of the wind farm and the load; r match : the Pearson correlation coefficient; E matchWIND : the annual matching power generation between the output of the wind farm and the load; E matchL : the annual matching power consumption between the output of the wind farm and the load; E WIND : the annual cumulative power generation of the wind farm; E L : the annual cumulative power consumption of the load in the line.

[0042] Based on the same inventive concept, the present invention also provides a time - series matching degree analysis system for a wind farm and a load, including:

[0043] An acquisition module, configured to obtain the output data of the wind farm and the load data in time series based on the same time interval;

[0044] A calculation module, configured to calculate the power generation of the wind farm, the power consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching power consumption between the output of the wind farm and the load based on the output data of the wind farm and the load data;

[0045] A time - series matching degree module, configured to calculate the time - series matching degree between the output of the wind farm and the load based on the power generation of the wind farm, the power consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching power consumption between the output of the wind farm and the load.

[0046] Preferably, the calculation module includes:

[0047] A wind - farm power - generation calculation unit, configured to calculate the power generation of the wind farm based on the output data of the wind farm;

[0048] A load - power - consumption calculation unit, configured to calculate the power consumption of the load based on the load data;

[0049] A matching - power - threshold calculation unit, configured to calculate the matching power threshold between the output of the wind farm and the load based on the rated voltage of the line, the line resistance between the grid - connection point of the wind farm and the upper - level transformer, and the line resistance between the load and the upper - level transformer;

[0050] A matching - power calculation unit, configured to obtain the matching power generation and matching power consumption between the output of the wind farm and the load at each moment based on the matching power threshold;

[0051] A Pearson - correlation - coefficient calculation unit, configured to process the matching power generation and matching power consumption to obtain two new array sequences, and calculate the Pearson correlation coefficient between the two sequences;

[0052] A calculation and matching power unit is configured to calculate the matching generated electricity quantity and the matching consumed electricity quantity between the wind farm output and the load based on the matching generated power and the matching consumed power.

[0053] Compared with the closest prior art, the technical solution provided by the present invention has the following beneficial effects:

[0054] The technical solution provided by the present invention obtains the wind farm output data and the load data in sequence based on the same time interval; calculates the generated electricity quantity of the wind farm, the consumed electricity quantity of the load, the Pearson correlation coefficient, as well as the matching generated electricity quantity and the matching consumed electricity quantity between the wind farm output and the load based on the wind farm output data and the load data; calculates the sequential matching degree between the wind farm output and the load based on the generated electricity quantity of the wind farm, the consumed electricity quantity of the load, the Pearson correlation coefficient, as well as the matching generated electricity quantity and the matching consumed electricity quantity between the wind farm output and the load. This inventive concept provides a basis for the site selection and capacity determination of the wind farm. The sequential matching degree between the wind farm output and the load is used to measure the matching degree of the generated electricity output and the power load of the wind farm in sequence, providing a basic support for formulating planning schemes such as the site selection and capacity determination of the wind farm.

[0055] The technical solution provided by the present invention has the advantages of clear process and clear physical concept. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a flowchart of the method for analyzing the sequential matching degree between the wind farm and the load in the present invention.

[0057] Figure 2 It is a detailed flowchart of the method for analyzing the sequential matching degree between the wind farm and the load in the embodiment of the present invention.

[0058] Figure 3 It is the historical generated electricity output curve of the wind farm throughout the year in the embodiment of the present invention.

[0059] Figure 4 It is the historical curve of the annual power load in the embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] To better understand the present invention, the content of the present invention will be further described below with reference to the accompanying drawings of the specification and examples.

[0061] Embodiment 1

[0062] As Figure 1 shown, a method for analyzing the sequential matching degree between a wind farm and a load provided by the present invention includes:

[0063] Step S1: Obtain the wind farm output data and the load data in sequence based on the same time interval;

[0064] Step S2, calculating the power generation of the wind farm, the power consumption of the load, the Pearson correlation coefficient, and the matching power generation and matching power consumption of the wind farm output and the load based on the wind farm output data and the load data;

[0065] Step S3: Calculate the temporal matching degree between the wind farm output and the load based on the power generation of the wind farm, the power consumption of the load, the Pearson correlation coefficient, and the matching power generation and matching power consumption of the wind farm output and the load.

[0066] Step S1, obtaining wind farm output data and load data in time series based on the same time interval, including the following steps:

[0067] Step 1: Collect historical output data of wind farms. Select the historical output data of wind farms for a full year of 365 days, and remove abnormal data. The typical value range of the time interval dt of power output data is 1 to 15 minutes.

[0068] Step 2: Collect historical power load data. Select the historical power load of a full year of 365 days in the line and remove abnormal data. The time interval of power load data must be consistent with the time interval of wind farm power generation data.

[0069] Step S2, calculating the power generation of the wind farm, the power consumption of the load, the Pearson correlation coefficient, and the matching power generation and matching power consumption of the wind farm output and the load based on the wind farm output data and the load data, comprising the following steps:

[0070] Step 3: Calculate the cumulative power generation of the wind farm every day. The calculation formula is:

[0071] E WIND,d =∑P WIND,d,t dt (1)

[0072] Among them, P WIND,d,t is the nominal value of active power output of the wind farm at time t on the dth day, d = 1, 2, 3, …, 365.

[0073] Step 4: Calculate the cumulative power generation of the wind farm for 365 days throughout the year. The calculation formula is:

[0074]

[0075] Among them, E PV It is the cumulative power generation of the wind farm for 365 days a year.

[0076] Step 5: Calculate the daily cumulative power consumption of the line power load. The calculation formula is:

[0077] E L,d =∑P L,d,t dt (3)

[0078] Among them, E L,d is the total cumulative power consumption of the power load throughout the d-th day, and P L,d,t is the active power value of the power load in the line at the t-th moment of the d-th day.

[0079] Step Six: Calculate the annual cumulative power consumption of the power load in the line. The calculation formula is:

[0080]

[0081] Among them, E L is the annual cumulative power consumption of the power load in the line.

[0082] Step Seven: Calculate the matching power threshold between the wind farm output and the power load. The calculation formula is

[0083]

[0084] Among them, ΔV max is the upper limit of the allowable voltage fluctuation, and the typical value is taken as 0.01 - 0.03 pu. V N is the rated voltage of the line, R line is the line resistance between the grid connection point of the wind farm and the upper-level transformer, and R line is the line resistance between the load and the upper-level transformer.

[0085] Step Eight: Calculate the matching power generation and matching power consumption of the wind farm output and the power load at each moment. The calculation formula is:

[0086]

[0087]

[0088] Among them, P matchWIND,d,t is the matching power generation of the wind farm output and the power load at the t-th moment of the d-th day, and P matchL,d,t is the matching power consumption of the wind farm output and the power load at the t-th moment of the d-th day.

[0089] When the absolute value of the deviation between the wind farm output and the power load is less than or equal to P match , it is considered that the wind farm output and the power load are matched, the matching power generation is equal to the wind farm output, and the matching power consumption is equal to the power load power; when the absolute value of the deviation between the wind farm output and the power load is greater than P match , it is considered that the wind farm output and the power load are not matched, and both the matching power generation and the matching power consumption are equal to 0.

[0090] Step Nine: Eliminate the mismatched data from the generated power and the power consumption, obtaining two new array sequences, and calculate the Pearson correlation coefficient between the two sequences. The calculation formula is as follows:

[0091]

[0092] In the formula, for the two new array sequences, n is the total number of the sequences, and i represents the value of the i-th sequence. For example, if the new sequence has 10,000 values, then n = 10,000.

[0093] Step Ten: Calculate the all-day matching generated power and the matching power consumption of the wind farm output and the power load every day. The calculation formula is as follows:

[0094] E matchWIND,d = ∑P matchWIND,d,t dt (9)

[0095] E matchL,d = ∑P matchL,d,t dt (10)

[0096] Among them, E matchWIND,d is the all-day matching generated power of the wind farm output and the power load on the d-th day, and E matchL,d is the all-day matching power consumption of the wind farm output and the power load on the d-th day.

[0097] Step Eleven: Calculate the annual matching generated power and the matching power consumption of the wind farm output and the power load. The calculation formula is as follows:

[0098]

[0099]

[0100] Among them, E matchWIND,d is the annual matching generated power of the wind farm output and the power load, and E matchL,d is the annual matching power consumption of the wind farm output and the power load.

[0101] Step S3: Based on the generated power of the wind farm, the power consumption of the load, the Pearson correlation coefficient, and the matching generated power and the matching power consumption of the wind farm output and the load, calculate the time-series matching degree of the wind farm output and the load according to the following formula:

[0102]

[0103] Example 2

[0104] As Figure 2 shown, taking 365 days in a year as an example, a method for analyzing the time-series matching degree between a wind farm and a power load provided in this example includes the following steps:

[0105] Step 1: Collect the historical output data of the wind farm. Select the historical output data of the wind farm for a complete year of 365 days, and eliminate the abnormal data. The time interval dt of the power generation output data is taken as 15 minutes.

[0106] Figure 3 The historical power generation output curve of the wind farm for the whole year is given.

[0107] Step 2: Collect the historical power load data. Select the historical power load of the line for a complete year of 365 days, and eliminate the abnormal data. The time interval of the power load data must be consistent with that of the wind farm power generation data.

[0108] Figure 4 The historical curve of the power load for the whole year is given.

[0109] Step 3: Calculate the full-day cumulative power generation of the wind farm every day. The calculation formula is

[0110] E WIND,d =∑P WIND,d,t dt (1)

[0111] where P WIND,d,t is the nominal value of the active power output of the wind farm at the t-th moment on the d-th day, d = 1, 2, 3,..., 365.

[0112] The full-day cumulative power generation of the wind farm on a certain day can be obtained as 19.48 MWh.

[0113] Step 4: Calculate the cumulative power generation of the wind farm for 365 days throughout the year. The calculation formula is:

[0114]

[0115] where E PV is the cumulative power generation of the wind farm for 365 days throughout the year.

[0116] The cumulative power generation of the wind farm for 365 days throughout the year can be obtained as 10962.03 MWh.

[0117] Step 5: Calculate the full-day cumulative power consumption of the line power load every day. The calculation formula is:

[0118] E L,d =∑P L,d,t dt (3)

[0119] where E L,d is the full-day cumulative power consumption of the power load on the d-th day, and P L,d,t is the active power value of the line power load at the t-th moment on the d-th day.

[0120] The full-day cumulative power consumption of the load on a certain day can be obtained as 17.37 MWh.

[0121] Step 6. Calculate the annual cumulative power consumption of the power load in the line. The calculation formula is as follows:

[0122]

[0123] where E L is the annual cumulative power consumption of the power load in the line.

[0124] The annual cumulative power consumption of the load can be obtained as 17213.77 MWh.

[0125] Step 7. Calculate the matching power threshold between the wind farm output and the power load. The calculation formula is

[0126]

[0127] where ΔV max is the upper limit of the allowable voltage fluctuation, with a value of 0.02 pu, V N is the rated voltage of the line, which is 10 kV, R line is the line resistance between the grid connection point of the wind farm and the upper-level transformer, which is 2.35 Ω, and R line is the line resistance between the load and the upper-level transformer, which is 1.68 Ω. The matching power threshold can be obtained as 0.99 MW. For the convenience of calculation, the threshold is taken as 1 MW.

[0128] Step 8. Calculate the matching generation power and matching power consumption of the wind farm output and the power load at each moment every day. The calculation formula is as follows:

[0129]

[0130]

[0131] where P matchWIND,d,t is the matching generation power between the wind farm output and the power load at the t-th moment on the d-th day, and P matchL,d,t is the matching power consumption between the wind farm output and the power load at the t-th moment on the d-th day.

[0132] When the absolute value of the deviation between the wind farm output and the power load is less than or equal to 1 MW, it is considered that the wind farm output and the power load are matched. The matching generation power is equal to the wind farm output, and the matching power consumption is equal to the power load power; when the absolute value of the deviation between the wind farm output and the power load is greater than 1 MW, it is considered that the wind farm output and the power load are not matched, and both the matching generation power and the matching power consumption are equal to 0.

[0133] Step 9. Eliminate the unmatched data from the generation power and the power consumption to obtain two new array sequences, and calculate the Pearson correlation coefficient between the two sequences. The calculation formula is as follows:

[0134]

[0135] Figure 4 The array sequence curve of matching power generation and power consumption is given, and the Pearson correlation coefficient between the two sequences can be obtained as 0.764.

[0136] Step Ten: Calculate the all-day matching power generation and matching power consumption of the wind farm output and the power load every day. The calculation formula is:

[0137] E matchWIND,d = ∑P matchWIND,d,t dt (9)

[0138] E matchL,d = ∑P matchL,d,t dt (10)

[0139] Among them, E matchWIND,d is the all-day matching power generation of the wind farm output and the power load on the d-th day, and E matchL,d is the all-day matching power consumption of the wind farm output and the power load on the d-th day.

[0140] It can be obtained that the all-day matching power generation of the wind farm output and the power load on a certain day is 16.78 MWh, and the all-day matching power consumption is 17.16 MWh.

[0141] Step Eleven: Calculate the annual matching power generation and matching power consumption of the wind farm output and the power load. The calculation formula is:

[0142]

[0143]

[0144] Among them, E matchWIND,d is the annual matching power generation of the wind farm output and the power load, and E matchL,d is the annual matching power consumption of the wind farm output and the power load.

[0145] It can be obtained that the annual matching power generation of the wind farm output and the power load is 5491.68 MWh, and the all-day matching power consumption is 5864.08 MWh.

[0146] Step Twelve: Calculate the time series matching degree of the wind farm output and the power load. The calculation formula is:

[0147]

[0148] It can be obtained that the time series matching degree of the wind farm output and the power load is 0.15. The time series matching degree K match is a coefficient between 0 and 1, Kmatch The higher it is, the better the temporal matching degree between the power station output and the power load is indicated.

[0149] Embodiment 3

[0150] Based on the same inventive concept, an embodiment of the present invention further provides a temporal matching degree analysis system for a wind farm and a load, including:

[0151] An acquisition module, configured to acquire wind farm output data and load data in time series based on the same time interval;

[0152] A calculation module, configured to calculate the power generation amount of the wind farm, the power consumption amount of the load, the Pearson correlation coefficient, as well as the matching power generation amount and the matching power consumption amount of the wind farm output and the load based on the wind farm output data and the load data;

[0153] A temporal matching degree module, configured to calculate the temporal matching degree between the wind farm output and the load based on the power generation amount of the wind farm, the power consumption amount of the load, the Pearson correlation coefficient, as well as the matching power generation amount and the matching power consumption amount of the wind farm output and the load.

[0154] In the embodiment, the calculation module includes:

[0155] A wind farm power generation calculation unit, configured to calculate the power generation amount of the wind farm based on the wind farm output data;

[0156] A load power consumption calculation unit, configured to calculate the power consumption amount of the load based on the load data;

[0157] A matching power threshold calculation unit, configured to calculate the matching power threshold between the wind farm output and the load based on the rated voltage of the line, the line resistance between the grid connection point of the wind farm and the upper-level transformer, and the line resistance between the load and the upper-level transformer;

[0158] A matching power calculation unit, configured to obtain the matching power generation power and the matching power consumption power of the wind farm output and the load at each moment based on the matching power threshold;

[0159] A Pearson correlation coefficient calculation unit, configured to process the matching power generation power and the matching power consumption power to obtain two new array sequences, and calculate the Pearson correlation coefficient between the two sequences;

[0160] A matching power amount calculation unit, configured to calculate the matching power generation amount and the matching power consumption amount of the wind farm output and the load based on the matching power generation power and the matching power consumption power.

[0161] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0162] The above content is only the embodiments of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention pending approval.

Claims

1. A method for analyzing the temporal matching degree between a wind farm and a load, characterized in that Including: Obtaining wind farm output data and load data in sequence based on the same time interval; Calculating the power generation of the wind farm, the electricity consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching electricity consumption between the wind farm output and the load based on the wind farm output data and the load data; Calculating the temporal matching degree between the wind farm output and the load based on the power generation of the wind farm, the electricity consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching electricity consumption between the wind farm output and the load; The calculating the power generation of the wind farm, the electricity consumption of the load, the Pearson correlation coefficient, as well as the matching power generation and matching electricity consumption between the wind farm output and the load based on the wind farm output data and the load data includes: Calculating the power generation of the wind farm based on the wind farm output data; Calculating the electricity consumption of the load based on the load data; Calculating the matching power threshold between the wind farm output and the load based on the rated voltage of the line, the line resistance between the grid connection point of the wind farm and the upstream transformer, and the line resistance between the load and the upstream transformer; Obtaining the matching power generation and matching power consumption between the wind farm output and the load at each moment based on the matching power threshold; Processing the matching power generation and matching power consumption to obtain two new array sequences, and calculating the Pearson correlation coefficient between the two sequences; Calculating the matching power generation and matching electricity consumption between the wind farm output and the load based on the matching power generation and matching power consumption; The matching power threshold between the wind farm output and the load is calculated according to the following formula: Where: P match : The matching power threshold between the output of the wind farm and the load; ΔV max : The upper limit of allowable voltage fluctuation; V N : The rated voltage of the line; R line,W : The line resistance between the grid connection point of the wind farm and the upstream transformer; R line,L : The line resistance between the load and the upstream transformer.

2. The method according to claim 1, wherein The calculating the power generation of the wind farm based on the wind farm output data includes: Calculating the full-day cumulative power generation of the wind farm every day based on the wind farm output data; Calculating the annual cumulative power generation of the wind farm based on the full-day cumulative power generation.

3. The method according to claim 1, wherein The calculating the electricity consumption of the load based on the load data includes: Calculating the full-day cumulative electricity consumption of the line load every day based on the load data; Calculating the annual cumulative electricity consumption of the load in the line based on the full-day cumulative electricity consumption.

4. The method according to claim 1, characterized in that, The matching power generation between the wind farm output and the load at each moment is calculated according to the following formula: Where: P matchWIND,d,t : The matching generation power of the wind farm output and the load at time t on the d-th day; P WIND,d,t : The nominal value of the active power output of the wind farm at time t on the d-th day; P L,d,t : The active power value of the in-line load at time t on the d-th day; P match : The matching power threshold of the wind farm output and the load; The matching power consumption between the wind farm output and the load at each moment is calculated according to the following formula: where: P matchL,d,t : the matching power consumption of the wind farm output and the load at time t on the dth day.

5. The method according to claim 4, characterized in that The processing the matching power generation and matching power consumption includes: Eliminating the data equal to 0 from the matching power generation and matching power consumption.

6. The method according to claim 1, wherein The Pearson correlation coefficient is calculated according to the following formula: where: r match : Pearson correlation coefficient; P matchWIND,d,t : the matching power generation of the wind farm output and the load at time t on the dth day; P matchWIND,i : the matching power generation of the wind farm output and the load; the average value of the matching power generation of the wind farm output and the load; P matchL,i : the matching power consumption of the wind farm output and the load; the average value of the matching power consumption of the wind farm output and the load; i: the number of the time series, i ∈ n; n: the total number of time series.

7. The method according to claim 1, wherein The calculating the matching power generation and matching electricity consumption between the wind farm output and the load based on the matching power generation and matching power consumption includes: Calculating the full-day matching power generation and matching electricity consumption between the wind farm output and the load every day based on the matching power generation and matching power consumption; Calculating the annual matching power generation and matching electricity consumption between the wind farm output and the load based on the full-day matching power generation and matching electricity consumption between the wind farm output and the load every day.

8. The method according to claim 1, characterized in that, The temporal matching degree between the wind farm output and the load is calculated according to the following formula: Where: K match : The temporal matching degree between the output of the wind farm and the load; r match : Pearson correlation coefficient; E matchWIND : The annual matching generated electricity between the output of the wind farm and the load; E matchL : The annual matching electricity consumption between the output of the wind farm and the load; E WIND : The annual cumulative generated electricity of the wind farm; E L : The annual cumulative electricity consumption of the load in the line.

9. A timing matching degree analysis system for a wind farm and a load, characterized in that Including: An obtaining module, configured to obtain wind farm output data and load data in sequence based on the same time interval; A calculation module, configured to calculate the power generation of a wind farm, the power consumption of a load, the Pearson correlation coefficient, and the matching power generation and matching power consumption between the wind farm output and the load based on the wind farm output data and the load data; A time series matching degree module, configured to calculate the time series matching degree between the wind farm output and the load based on the power generation of the wind farm, the power consumption of the load, the Pearson correlation coefficient, and the matching power generation and matching power consumption between the wind farm output and the load; The calculation module includes: A wind farm power generation calculation unit, configured to calculate the power generation of the wind farm based on the wind farm output data; A load power consumption calculation unit, configured to calculate the power consumption of the load based on the load data; A matching power threshold calculation unit, configured to calculate the matching power threshold between the wind farm output and the load based on the rated voltage of the line, the line resistance between the grid connection point of the wind farm and the upstream transformer, and the line resistance between the load and the upstream transformer; A matching power calculation unit, configured to obtain the matching power generation and matching power consumption between the wind farm output and the load at each moment based on the matching power threshold; A Pearson correlation coefficient calculation unit, configured to process the matching power generation and matching power consumption to obtain two new array sequences, and calculate the Pearson correlation coefficient between the two sequences; A matching power consumption calculation unit, configured to calculate the matching power generation and matching power consumption between the wind farm output and the load based on the matching power generation and matching power consumption; The matching power threshold between the wind farm output and the load is calculated according to the following formula: Where: P match : Matching power threshold between the output of the wind farm and the load; ΔV max : Allowed upper limit of voltage fluctuation; V N : Rated voltage of the line; R line,W : Line resistance between the grid connection point of the wind farm and the upstream transformer; R line,L : Line resistance between the load and the upstream transformer.

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