A wind farm capacity planning method, device, terminal equipment and storage medium for wind-fire bundled transmission scenarios

Abstract

The present invention discloses a wind farm capacity planning method, device, terminal equipment and storage medium for a wind-fired bundled transmission scenario, wherein the method includes: obtaining historical wind power output normalized data, wind power initial curtailment rate, peak load period, thermal power capacity, thermal power minimum technical output rate, thermal power plant power consumption rate and transmission channel capacity; calculating the wind power effective output rate based on the acquired data, determining the wind farm capacity preselected value, and calculating the transmission channel remaining capacity when the thermal power is running at full output; repeatedly performing the wind farm capacity preselected value verification operation until the actual wind power curtailment rate is less than the preset wind power curtailment rate threshold; using the final wind farm capacity preselected value as the wind farm capacity planning value, and planning the wind farm. The wind farm capacity planning result obtained by the present invention can meet the full output operation of thermal power during peak load period and the wind power curtailment rate meets the requirements throughout the year, solving the problem of unreasonable wind farm capacity design in the prior art.

Description

Technical Field

[0001] The present invention relates to the field of power transmission technology, and in particular to a wind farm capacity planning method, apparatus, terminal equipment and storage medium for a wind-fire bundled transmission scenario. Background Art

[0002] In areas rich in new energy, the use of a bundling mode of new energy and conventional power sources can fully utilize the transmission margin of existing transmission channels, optimize the transmission curve, save precious transmission channel resources, improve the absorption rate of new energy and the utilization rate of transmission channels, and reduce the electricity cost of the entire society.

[0003] For the bundling system of new energy and conventional power sources, the capacity ratio of new energy and conventional power sources will have a great impact on the new energy absorption rate, the utilization hours of conventional power sources and the power grid supply guarantee. Therefore, the first thing to be solved is at what ratio to bundle new energy and conventional power sources. In the specific engineering practice process, there are different scenarios such as point-to-network and network-to-network transmission of new energy and conventional power sources. From the perspective of power grid planning, how to take into account the relationship between the transmission capacity of new energy, conventional power sources and transmission channels in the above scenarios from a fair perspective, and propose a reasonable bundling ratio of new energy and conventional power sources, is the core issue that needs to be studied for the coordinated transmission of new energy and conventional energy. To this end, the present invention takes the "point-to-network" transmission scenario of wind and fire bundling as an example to study the planning and design method of wind farm capacity.

[0004] Regarding the issue of what ratio to bundle wind power and thermal power in a wind-thermal bundling system, existing technologies use a given thermal power capacity and transmission channel capacity as the basis, taking into account the effective output of wind power, and perform arithmetic calculations to solve the wind farm capacity. Although existing technologies can determine the planning range of wind power capacity and are highly interpretable, due to the different wind resources in different regions, the output characteristics of different wind farms are different, and existing technologies lack analysis of the wind power curtailment rate during peak load periods. Due to the full output of thermal power during peak load periods, the wind power absorption space is squeezed out, resulting in an increase in the wind power curtailment rate. Therefore, the wind farm capacity obtained by existing technologies may not meet the wind power curtailment rate requirements, resulting in unreasonable wind farm capacity design. Summary of the Invention

[0005] The present invention provides a wind farm capacity planning method, apparatus, terminal device and storage medium for a wind-fired bundled transmission scenario, to solve the technical problem in the prior art that the wind farm capacity may not meet the wind power curtailment rate requirements due to the lack of analysis of the wind power curtailment rate during peak load periods.

[0006] To solve the above technical problems, an embodiment of the present invention provides a wind farm capacity planning method for a bundled power transmission scenario, comprising:

[0007] Obtain historical wind power output per unit data, initial wind power curtailment rate, peak load period, thermal power capacity, minimum technical thermal power output rate, thermal power plant power consumption rate, and transmission channel capacity at the location of the planned wind power site;

[0008] Calculating the effective wind power output rate based on the historical wind power output normalized data and the initial wind power curtailment rate;

[0009] Calculating a preselected range of wind farm capacity based on the thermal power capacity, the minimum technical output rate of thermal power, the transmission channel capacity, and the effective output rate of wind power;

[0010] Determining a preselected wind farm capacity value according to the preselected wind farm capacity range;

[0011] Calculating the remaining capacity of the transmission channel when the thermal power plant is operating at full output based on the thermal power capacity, the power consumption rate of the thermal power plant, and the capacity of the transmission channel;

[0012] Repeat the wind farm capacity preselection value verification operation until the actual wind power curtailment rate is less than the preset wind power curtailment rate threshold;

[0013] Using the final preselected wind farm capacity value as a wind farm capacity planning value, and planning the wind farm according to the wind farm capacity planning value;

[0014] The wind farm capacity preselected value verification operation includes:

[0015] Calculating the actual wind power output rate when the thermal power plant is operating at full output based on the remaining capacity of the transmission channel and the current pre-selected wind power capacity;

[0016] Calculate the newly added curtailed wind power rate when thermal power is operating at full output based on the actual wind power output rate, the effective wind power output rate, the peak load period, and the historical wind power output normalized data;

[0017] Calculating the actual wind power curtailment rate based on the newly added wind power curtailment rate and the initial wind power curtailment rate;

[0018] It is determined whether the actual wind power curtailment rate is less than the wind power curtailment rate threshold; if not, the preselected wind farm capacity value is lowered according to a preset step size to obtain a new preselected wind farm capacity value.

[0019] As a preferred solution, the historical wind power output normalized data is the historical power normalized data for 8760 hours throughout the year at the location of the planned wind power site;

[0020] The calculating of the effective wind power output rate according to the historical wind power output normalized data and the initial wind power curtailment rate includes:

[0021] sorting the historical power normalized per-unit data for the entire year for 8760 hours from largest to smallest, and generating a wind power continuous output curve corresponding to the historical power normalized per-unit data for the entire year for 8760 hours according to the sorting result;

[0022] Calculating the total wind power generation according to the wind power continuous output curve;

[0023] Calculating the amount of wind power curtailment based on the total wind power generation and the initial wind power curtailment rate;

[0024] The wind power effective output rate is calculated according to the amount of wind power curtailment and the wind power continuous output curve.

[0025] As a preferred solution, determining the preselected wind farm capacity value according to the preselected wind farm capacity range includes:

[0026] Taking the maximum value of the wind farm capacity preselection range as the wind farm capacity preselection value;

[0027] The expression for the preselected range of wind farm capacity is:

[0028] P WIND ≤(P LINE -P COAL ×β) / P EFFECTIVE ;

[0029] Where, P WIND Represents the preselected value of wind farm capacity; P LINE represents the capacity of the transmission channel; P COAL represents thermal power capacity; β represents the minimum technical output rate of thermal power; P EFFECTIVE Indicates the effective output rate of wind power.

[0030] As a preferred solution, the calculation formula for the remaining capacity of the transmission channel is:

[0031] P L ' INE =P LINE -P COAL ×(1-η);

[0032] Where, P L ' INE represents the remaining capacity of the transmission channel; η represents the power consumption rate of the thermal power plant.

[0033] As a preferred solution, the calculation formula for the actual wind power output rate is:

[0034]

[0035] Where α represents the actual wind power output rate.

[0036] As a preferred solution, the peak load period includes the daily peak load period of each day in the peak load month;

[0037] Calculating the newly added wind power curtailment rate when thermal power is operating at full output based on the actual wind power output rate, the effective wind power output rate, and the historical wind power output normalized data during the peak load period includes:

[0038] Determine the historical power normalized data corresponding to the peak load period according to the peak load period and the historical power normalized data for 8760 hours throughout the year;

[0039] Sorting the historical power normalized data corresponding to the peak load period from large to small, and generating a continuous output curve for the wind power peak load period according to the sorting result;

[0040] The newly added wind power curtailment rate is calculated based on the continuous output curve during the wind power peak load period, the actual wind power output rate, and the effective wind power output rate.

[0041] As a preferred solution, the calculation formula for the actual wind power curtailment rate is:

[0042] λ=λ1+λ2;

[0043] Where λ represents the actual wind power curtailment rate; λ1 represents the initial wind power curtailment rate; and λ2 represents the new wind power curtailment rate.

[0044] On the basis of the above embodiment, another embodiment of the present invention provides a wind farm capacity planning device for a wind-thermal bundled transmission scenario, comprising: calculating the effective output rate of wind power according to the initial wind power curtailment rate; calculating the preselected range of wind farm capacity according to the thermal power capacity, the minimum technical output rate of thermal power, the transmission channel capacity and the effective wind power output rate; determining the preselected value of wind farm capacity according to the preselected range of wind farm capacity; calculating the remaining capacity of the transmission channel when the thermal power is running at full output according to the thermal power capacity, the power consumption rate of the thermal power plant and the transmission channel capacity; and repeatedly executing the wind farm capacity preselected value verification operation until the actual wind power curtailment rate is less than the preset wind power curtailment rate. power curtailment rate threshold; wherein, the wind farm capacity preselected value verification operation includes: calculating the actual wind power output rate when the thermal power is operating at full output according to the remaining capacity of the transmission channel and the current wind power capacity preselected value; calculating the new wind power curtailment rate when the thermal power is operating at full output according to the actual wind power output rate, the effective wind power output rate, the peak load period, and the historical wind power output normalized data; calculating the actual wind power curtailment rate according to the new wind power curtailment rate and the initial wind power curtailment rate; judging whether the actual wind power curtailment rate is less than the wind power curtailment rate threshold, and if not, lowering the wind farm capacity preselected value according to a preset step size to obtain a new wind farm capacity preselected value;

[0045] The planning setting module is configured to use the final preselected wind farm capacity value as a wind farm capacity planning value, and plan the wind farm according to the wind farm capacity planning value.

[0046] Based on the above embodiments, another embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the wind farm capacity planning method described in the above embodiments of the invention is implemented.

[0047] Based on the above embodiment, another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the wind farm capacity planning method described in the above embodiment of the invention.

[0048] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0049] The present invention mainly includes two parts: wind farm capacity preselection design and wind farm capacity preselection value verification. The wind farm capacity preselection design part includes: calculating the wind power effective output rate based on the historical wind power output normalized data and the wind power initial curtailment rate; calculating the wind farm capacity preselection range based on the thermal power capacity, the thermal power minimum technical output rate, the transmission channel capacity, and the wind power effective output rate; and determining the wind farm capacity preselection value based on the wind farm capacity preselection range. The wind farm capacity preselected value verification part includes: calculating the remaining capacity of the transmission channel when the thermal power is operating at full output based on the thermal power capacity, the power consumption rate of the thermal power plant and the transmission channel capacity; repeatedly performing the wind farm capacity preselected value verification operation until the actual wind power curtailment rate is less than a preset wind power curtailment rate threshold; the wind farm capacity preselected value verification operation includes: calculating the actual wind power output rate when the thermal power is operating at full output based on the remaining capacity of the transmission channel and the current wind power capacity preselected value; calculating the new wind power curtailment rate when the thermal power is operating at full output based on the actual wind power output rate, the effective wind power output rate, the peak load period, and the historical wind power output normalized data; calculating the actual wind power curtailment rate based on the new wind power curtailment rate and the initial wind power curtailment rate; judging whether the actual wind power curtailment rate is less than the wind power curtailment rate threshold, and if not, lowering the wind farm capacity preselected value according to a preset step size to obtain a new wind farm capacity preselected value. The wind farm capacity planning result obtained by the present invention can meet the full output operation of thermal power during peak load periods and the wind power abandonment rate meets the requirements throughout the year, solving the problem of unreasonable wind farm capacity design in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a flow chart of a wind farm capacity planning method for a wind-fired bundled delivery scenario provided by one embodiment of the present invention;

[0051] Figure 2 This is the wind power continuous output curve corresponding to the historical power normalized data of 8760 hours throughout the year;

[0052] Figure 3 It is the continuous output curve of wind power during peak load period;

[0053] Figure 4 This is a schematic structural diagram of a wind farm capacity planning device for a wind-fired bundled delivery scenario provided by one embodiment of the present invention;

[0054] Figure 5 This is a schematic diagram of a wind and fire bundling delivery scene;

[0055] Figure 6 It is a continuous output curve of offshore wind power during peak load period in a practical application scenario. DETAILED DESCRIPTION

[0056] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions in this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0058] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0060] Example 1

[0061] Please refer to Figure 1 , which is a flow chart of a wind farm capacity planning method for a wind farm bundled power transmission scenario provided by one embodiment of the present invention, including:

[0062] S1. Obtain the historical wind power output standardization data, wind power initial curtailment rate, peak load period, thermal power capacity, minimum technical output rate of thermal power, thermal power plant power consumption rate and transmission channel capacity of the location where the wind power planning site is located.

[0063] In step S1, the historical wind power output normalized data of the planned wind farm site, the initial wind power curtailment rate of the planned wind farm, the peak load period of the planned wind farm site, the thermal power capacity to be bundled of the thermal power plant, the minimum technical output rate of the thermal power of the thermal power plant, the power consumption rate of the thermal power plant and the transmission channel capacity of the power transmission channel in the area where the wind and thermal bundling are located are obtained.

[0064] It should be noted that according to the advanced level required by the Clean Energy Absorption Action Plan (2018-2020), the electricity absorption rate should reach about 95%. Therefore, the initial wind power abandonment rate of the planned wind farm should not be higher than 5%.

[0065] S2. Calculate the effective wind power output rate based on the historical wind power output normalized data and the initial wind power curtailment rate.

[0066] In a preferred embodiment, the historical wind power output normalized data is the historical power normalized data for 8760 hours throughout the year at the location of the planned wind power site;

[0067] The calculating of the effective wind power output rate according to the historical wind power output normalized data and the initial wind power curtailment rate includes:

[0068] sorting the historical power normalized per-unit data for the entire year for 8760 hours from largest to smallest, and generating a wind power continuous output curve corresponding to the historical power normalized per-unit data for the entire year for 8760 hours according to the sorting result;

[0069] Calculating the total wind power generation according to the wind power continuous output curve;

[0070] Calculating the amount of wind power curtailment based on the total wind power generation and the initial wind power curtailment rate;

[0071] The wind power effective output rate is calculated according to the amount of wind power curtailment and the wind power continuous output curve.

[0072] In this embodiment, the historical wind power output per unit data obtained is the historical power per unit data of 8760 hours in a year; the wind power per unit data corresponding to each hour in the 8760 hours are sorted from large to small, and the wind power continuous output curve corresponding to the historical power per unit data of 8760 hours in a year is generated according to the sorting result, which is recorded as f(x). The wind power continuous output curve f(x) is as follows: Figure 2 As shown, the horizontal axis is the number of hours and the vertical axis is the wind power output rate, which is a decreasing curve.

[0073] According to the wind power continuous output curve, the calculation formula for the total wind power generation is:

[0074]

[0075] Where, E ALL Indicates the total electricity generated.

[0076] According to the total wind power generation and the initial wind power curtailment rate, the calculation formula for the wind power curtailment is:

[0077] E DIS =λ1×E ALL ;

[0078] Where, E DIS represents the amount of wind power curtailment; λ1 represents the initial wind power curtailment rate.

[0079] The wind power effective output rate is calculated according to the wind power curtailment amount and the wind power continuous output curve, specifically as follows:

[0080] Let the area of ​​the curve enclosed by the horizontal line where the nth data f(n) of the wind power continuous output curve is located and the continuous output curve greater than this data (i.e., the amount of power abandoned) be g(n), then the expression of g(n) is:

[0081]

[0082] The area enclosed by the wind power continuous output curve and the x-axis (i.e. the total wind power generation) is E ALL .

[0083] The number of wind power generating hours per year is defined as the total wind power generating capacity per year divided by the installed capacity of wind power. Since the wind power continuous output curve data is per unit value, the installed capacity of wind power is 1, so E ALL It also represents the annual wind power generation hours. hour, And E DISAccounting for E ALL The ratio is λ1. The expression is:

[0084]

[0085] Then, the calculation formula for wind power effective output rate is:

[0086]

[0087] Where, P EFFECTIVE Indicates the effective output rate of wind power.

[0088] S3. Calculate a preselected range of wind farm capacity based on the thermal power capacity, the minimum technical output rate of thermal power, the transmission channel capacity, and the effective output rate of wind power.

[0089] In step S3, taking into account the coordination and regulation of thermal power, the minimum output of thermal power is operated, that is, the minimum technical output rate of thermal power is calculated to obtain a preselected range of wind farm capacity that meets the initial power curtailment rate of the wind farm.

[0090] S4. Determine a preselected value of the wind farm capacity according to the preselected range of the wind farm capacity.

[0091] In a preferred embodiment, determining the preselected wind farm capacity value according to the preselected wind farm capacity range includes:

[0092] Taking the maximum value of the wind farm capacity preselection range as the wind farm capacity preselection value;

[0093] The expression for the preselected range of wind farm capacity is:

[0094] P WIND ≤(P LINE -P COAL ×β) / P EFFECTIVE ;

[0095] Where, P WIND Represents the preselected value of wind farm capacity; P LINE represents the capacity of the transmission channel; P COAL represents thermal power capacity; β represents the minimum technical output rate of thermal power; P EFFECTIVE Indicates the effective output rate of wind power.

[0096] It should be noted that the preselected wind farm capacity meets the initial wind power curtailment rate λ1, but this preselected value is designed based on the assumption that thermal power can be coordinated and adjusted. Considering that thermal power operates at full capacity during peak load periods, the remaining transmission capacity of the transmission channel will not be able to meet the wind power curtailment rate requirement of λ1, which will inevitably increase the amount of curtailed power, i.e., the increased wind power curtailment rate. If the increased wind power curtailment rate exceeds 5% throughout the year, the preselected wind farm capacity does not meet the requirements and needs to be reselected. Therefore, the preselected wind farm capacity will be verified below.

[0097] S5. Calculate the remaining capacity of the transmission channel when the thermal power plant is operating at full output based on the thermal power capacity, the power consumption rate of the thermal power plant, and the capacity of the transmission channel.

[0098] In a preferred embodiment, the calculation formula for the remaining capacity of the power transmission channel is:

[0099] P L ' INE =P LINE -P COAL ×(1-η);

[0100] Where, P L ' INE represents the remaining capacity of the transmission channel; η represents the power consumption rate of the thermal power plant.

[0101] S6. Repeat the wind farm capacity preselected value verification operation until the actual wind power curtailment rate is less than the preset wind power curtailment rate threshold;

[0102] The wind farm capacity preselected value verification operation includes:

[0103] Calculating the actual wind power output rate when the thermal power plant is operating at full output based on the remaining capacity of the transmission channel and the current pre-selected wind power capacity;

[0104] Calculate the newly added curtailed wind power rate when thermal power is operating at full output based on the actual wind power output rate, the effective wind power output rate, the peak load period, and the historical wind power output normalized data;

[0105] Calculating the actual wind power curtailment rate based on the newly added wind power curtailment rate and the initial wind power curtailment rate;

[0106] It is determined whether the actual wind power curtailment rate is less than the wind power curtailment rate threshold; if not, the preselected wind farm capacity value is lowered according to a preset step size to obtain a new preselected wind farm capacity value.

[0107] In step S6, the preset threshold value of wind power curtailment rate is 5%.

[0108] In a preferred embodiment, the calculation formula for the actual wind power output rate is:

[0109]

[0110] Where α represents the actual wind power output rate.

[0111] In a preferred embodiment, the peak load period includes the daily peak load period of each day in the peak load month;

[0112] Calculating the newly added wind power curtailment rate when thermal power is operating at full output based on the actual wind power output rate, the effective wind power output rate, and the historical wind power output normalized data during the peak load period includes:

[0113] Determine the historical power normalized data corresponding to the peak load period according to the peak load period and the historical power normalized data for 8760 hours throughout the year;

[0114] Sorting the historical power normalized data corresponding to the peak load period from large to small, and generating a continuous output curve for the wind power peak load period according to the sorting result;

[0115] The newly added wind power curtailment rate is calculated based on the continuous output curve during the wind power peak load period, the actual wind power output rate, and the effective wind power output rate.

[0116] In this embodiment, the daily peak load period is determined based on the typical daily load curve of the given wind and fire bundling area. The time period corresponding to the load of γ times or more of the peak value of the typical daily load curve is defined as the daily peak load period, and the value range of γ is: 0.5<γ<1. The peak load month is obtained based on the local load characteristics. The peak load month varies in different places. You can choose the corresponding month according to the actual local load conditions. For example, Guangdong considers May to October to be the peak load period. The duration of the daily peak load period is recorded as T HLOAD , in hours, the total number of days in the peak load month is d, then the total duration of the peak load period is T HLOAD ×d hours.

[0117] If the peak load months in Guangdong are May to October and the daily peak load period is 2-8 pm, then the peak load period is 2-8 pm every day from May to October.

[0118] It should be noted that in order to ensure the selected T HLOAD The peak load period of ×d hours is representative. It is necessary to count the number of hours of peak load duration of the local 8760-hour load curve. If T HLOAD If the peak load duration of ×d hours can cover more than 85% of the maximum load, it can be verified that T HLOADThe peak time of thermal power output of ×d hours is reasonable. Otherwise, a new γ value needs to be selected and the peak load period needs to be reselected.

[0119] Select the T corresponding to the peak load period from the 8760-hour historical power normalized data. HLOAD ×d hours of wind power data, sort them from large to small, and generate a continuous output curve during the peak load period of wind power, such as Figure 3 shown. Figure 3 The shaded area in the middle represents the newly abandoned power, α is the actual output rate of wind power, P EFFECTIVE is the effective output rate of wind power.

[0120] According to the continuous output curve of the wind power peak load period, the actual wind power output rate and the effective wind power output rate, the newly added wind power curtailment amount is calculated, and the newly added wind power curtailment rate is further recorded as λ2.

[0121] In a preferred embodiment, the calculation formula for the actual wind power curtailment rate is:

[0122] λ=λ1+λ2;

[0123] Where λ represents the actual wind power curtailment rate; λ1 represents the initial wind power curtailment rate; and λ2 represents the new wind power curtailment rate.

[0124] S7. Using the final pre-selected wind farm capacity value as a planned wind farm capacity value, and planning the wind farm according to the planned wind farm capacity value.

[0125] Example 2

[0126] Please refer to Figure 2 , is a schematic structural diagram of a wind farm capacity planning device for a wind-fire bundled delivery scenario provided by another embodiment of the present invention, comprising: a data acquisition module, a data processing module, and a planning setting module;

[0127] The data acquisition module is used to obtain historical wind power output per unit data, wind power initial power abandonment rate, peak load period, thermal power capacity, thermal power minimum technical output rate, thermal power plant power consumption rate and transmission channel capacity of the location of the wind power planning site;

[0128] The data processing module is used to calculate the effective wind power output rate based on the historical wind power output normalized data and the initial wind power curtailment rate; calculate the wind farm capacity preselection range based on the thermal power capacity, the minimum technical output rate of thermal power, the transmission channel capacity and the effective wind power output rate; determine the wind farm capacity preselection value based on the wind farm capacity preselection range; calculate the transmission channel remaining capacity when the thermal power is running at full output based on the thermal power capacity, the thermal power plant power consumption rate and the transmission channel capacity; repeatedly perform the wind farm capacity preselection value verification operation until the actual wind power curtailment rate is less than the preset wind power curtailment rate threshold; wherein, The wind farm capacity preselected value verification operation includes: calculating the actual wind power output rate when the thermal power is running at full output based on the remaining capacity of the transmission channel and the current wind power capacity preselected value; calculating the new wind power curtailment rate when the thermal power is running at full output based on the actual wind power output rate, the effective wind power output rate, the peak load period, and the historical wind power output normalized data; calculating the actual wind power curtailment rate based on the new wind power curtailment rate and the initial wind power curtailment rate; judging whether the actual wind power curtailment rate is less than the wind power curtailment rate threshold, and if not, lowering the wind farm capacity preselected value according to a preset step size to obtain a new wind farm capacity preselected value;

[0129] The planning setting module is configured to use the final preselected wind farm capacity value as a wind farm capacity planning value, and plan the wind farm according to the wind farm capacity planning value.

[0130] Example 3

[0131] Accordingly, an embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the wind farm capacity planning method described in the above embodiment of the invention.

[0132] Example 4

[0133] Accordingly, an embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the wind farm capacity planning method described in the above embodiment of the invention.

[0134] In order to illustrate the application process of the present invention, another preferred embodiment of the present invention provides the following example scenario:

[0135] A diagram of a fire-bundling delivery scene is as follows Figure 5As shown. Taking the wind-thermal bundled transmission scenario as an example, the thermal power capacity is 3.32 million kilowatts, the minimum technical output factor is 0.4, the thermal power plant power consumption rate is 0.06, the offshore wind power generation hours are assumed to be 3,000, and the transmission channel capacity is 5.75 million kilowatts. Based on the typical daily load curve for the location where the wind-thermal bundled scenario is located, a total of five hours corresponding to peak load exceeding 80% is selected as the peak time window. Furthermore, based on the local annual load characteristics, a total of six months from May to October are selected as the peak load period, assuming that the peak demand period for coal-fired power is 920 hours per year at full output. The initial wind power curtailment rate is set at 2%, and existing offshore wind power curves are also provided. The preset wind power curtailment rate threshold is 5%.

[0136] Based on the above information, the wind farm capacity is planned:

[0137] (1) Data acquisition: Historical wind power output normalized data: existing offshore wind power curve basis; initial wind power curtailment rate of 2%, peak load period, thermal power capacity of 3.32 million kilowatts, minimum thermal power output rate of 0.4, thermal power plant power consumption rate of 0.06, and transmission channel capacity of 5.75 million kilowatts;

[0138] (2) Based on the existing offshore wind power curve and an initial wind power curtailment rate of 2%, it is assumed that the calculated wind power effective output rate is 0.81;

[0139] (3) Based on the thermal power capacity of 3.32 million kilowatts, the minimum technical output rate of thermal power of 0.4, the transmission channel capacity of 5.75 million kilowatts and the effective output rate of wind power of 0.81, the pre-selected range of wind farm capacity is calculated. The calculation process is as follows:

[0140] P WIND ×0.81+332×0.4≤575;

[0141] P WIND ≤(575-332×0.4) / 0.81≈545;

[0142] (4) The maximum preselected capacity of the wind farm is 5.45 million kilowatts. 5.45 million kilowatts is selected as the initial preselected value of the wind farm capacity. The preselected value of 5.45 million kilowatts is verified below.

[0143] (5) Based on the thermal power capacity of 3.32 million kilowatts, the power consumption rate of the thermal power plant of 0.06, and the transmission channel capacity of 5.75 million kilowatts, the remaining transmission channel capacity of 2.63 million kilowatts when the thermal power plant is operating at full output is calculated as follows:

[0144] P L ' INE =575-332×(1-0.06)≈263;

[0145] (6) Based on the remaining capacity of the transmission channel of 2.63 million kilowatts and the current pre-selected value of wind power capacity of 5.45 million kilowatts, the actual wind power output rate when the thermal power is running at full output is calculated to be 0.48. The calculation process is as follows:

[0146]

[0147] (7) When the offshore wind power output exceeds 2.63 million kilowatts (i.e. the output rate exceeds 0.48) during peak load periods, part of the electricity will be abandoned. The offshore wind power output rate is higher than 0.48 and lower than 0.81, and the electricity is about 207 million kilowatt-hours. Figure 5 As shown. When the wind farm capacity is 5.45 million kWh and considering 3,000 hours of power generation, the annual wind power generation is 16.35 billion kWh. Based on the actual wind power output factor of 0.48, the effective wind power output factor of 0.81, the peak load period mentioned above, and the existing offshore wind power curve, the new wind power curtailment rate when thermal power is operating at full output is calculated to be 1.3%;

[0148] (8) Based on the initial wind power curtailment rate of 2% and the newly added wind power curtailment rate of 1.3%, the actual wind power curtailment rate is calculated to be 3.3%;

[0149] (9) Determine whether the actual wind power curtailment rate is less than the wind power curtailment rate threshold of 5%. From this, it can be concluded that the pre-selected wind farm capacity of 5.45 million kilowatts meets the full output of thermal power during peak load periods and the wind power curtailment rate throughout the year meets the requirements.

[0150] (10) The final 2% of the wind farm capacity preselected value is used as the wind farm capacity planning value, and the wind farm is planned according to the wind farm capacity planning value.

[0151] It should be noted that the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed across multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. In addition, in the drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement the present invention without inventive effort.

[0152] Those skilled in the art will clearly understand that, for the convenience and brevity of discussion, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0153] The terminal device may be a computing device such as a desktop computer, a notebook computer, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0154] The processor may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (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. The processor is the control center of the device, and various parts of the entire device are connected using various interfaces and lines.

[0155] The memory can be used to store the computer program, and the processor realizes various functions of the device by running or executing the computer program 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, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, 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 Med ia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0156] The storage medium is a storage medium in which the computer program is stored. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. The computer program includes computer program code, which 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 capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. 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 do not include electric carrier signals and telecommunication signals.

[0157] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A wind farm capacity planning method for wind and thermal bundled delivery scenarios, characterized by: include: Obtain historical wind power output per unit data, initial wind power curtailment rate, peak load period, thermal power capacity, minimum technical thermal power output rate, thermal power plant power consumption rate, and transmission channel capacity at the location of the planned wind power site; Calculating the effective wind power output rate based on the historical wind power output normalized data and the initial wind power curtailment rate; Calculating a preselected range of wind farm capacity based on the thermal power capacity, the minimum technical output rate of thermal power, the transmission channel capacity, and the effective output rate of wind power; Determining a preselected wind farm capacity value according to the preselected wind farm capacity range; Calculating the remaining capacity of the transmission channel when the thermal power plant is operating at full output based on the thermal power capacity, the power consumption rate of the thermal power plant, and the capacity of the transmission channel; Repeat the wind farm capacity preselection value verification operation until the actual wind power curtailment rate is less than the preset wind power curtailment rate threshold; Using the final preselected wind farm capacity value as a wind farm capacity planning value, and planning the wind farm according to the wind farm capacity planning value; The wind farm capacity preselected value verification operation includes: Calculating the actual wind power output rate when the thermal power plant is operating at full output based on the remaining capacity of the transmission channel and the current pre-selected wind power capacity; Calculate the newly added curtailed wind power rate when thermal power is operating at full output based on the actual wind power output rate, the effective wind power output rate, the peak load period, and the historical wind power output normalized data; Calculating the actual wind power curtailment rate based on the newly added wind power curtailment rate and the initial wind power curtailment rate; It is determined whether the actual wind power curtailment rate is less than the wind power curtailment rate threshold; if not, the preselected wind farm capacity value is lowered according to a preset step size to obtain a new preselected wind farm capacity value.

2. The wind farm capacity planning method according to claim 1, wherein: The historical wind power output normalized data is the historical power normalized data for 8760 hours throughout the year at the location of the planned wind power site; The calculating of the effective wind power output rate according to the historical wind power output normalized data and the initial wind power curtailment rate includes: sorting the historical power normalized per-unit data for the entire year for 8760 hours from largest to smallest, and generating a wind power continuous output curve corresponding to the historical power normalized per-unit data for the entire year for 8760 hours according to the sorting result; Calculating the total wind power generation according to the wind power continuous output curve; Calculating the amount of wind power curtailment based on the total wind power generation and the initial wind power curtailment rate; The wind power effective output rate is calculated according to the amount of wind power curtailment and the wind power continuous output curve.

3. The wind farm capacity planning method according to claim 1, wherein: Determining the preselected wind farm capacity value according to the preselected wind farm capacity range includes: Taking the maximum value of the wind farm capacity preselection range as the wind farm capacity preselection value; The expression for the preselected range of wind farm capacity is: P WIND ≤(P LINE -P COAL ×β) / P EFFECTIVE ; Where, P WIND Represents the preselected value of wind farm capacity; P LINE represents the capacity of the transmission channel; P COAL represents thermal power capacity; β represents the minimum technical output rate of thermal power; P EFFECTIVE Indicates the effective output rate of wind power.

4. The wind farm capacity planning method according to claim 3, characterized in that: The calculation formula for the remaining capacity of the transmission channel is: P L ' INE =P LINE -P COAL ×(1-η); Where, P L ' INE represents the remaining capacity of the transmission channel; η represents the power consumption rate of the thermal power plant.

5. The wind farm capacity planning method according to claim 4, characterized in that: The calculation formula for the actual wind power output rate is: Where α represents the actual wind power output rate.

6. The wind farm capacity planning method according to claim 2, wherein: The peak load period includes the daily peak load period of each day in the peak load month; Calculating the newly added wind power curtailment rate when thermal power is operating at full output based on the actual wind power output rate, the effective wind power output rate, and the historical wind power output normalized data during the peak load period includes: Determine the historical power normalized data corresponding to the peak load period according to the peak load period and the historical power normalized data for 8760 hours throughout the year; Sorting the historical power normalized data corresponding to the peak load period from large to small, and generating a continuous output curve for the wind power peak load period according to the sorting result; The newly added wind power curtailment rate is calculated based on the continuous output curve during the wind power peak load period, the actual wind power output rate, and the effective wind power output rate.

7. The wind farm capacity planning method according to claim 5, characterized in that: The calculation formula for the actual wind power curtailment rate is: λ=λ1+λ2; Where λ represents the actual wind power curtailment rate; λ1 represents the initial wind power curtailment rate; and λ2 represents the new wind power curtailment rate.

8. A wind farm capacity planning device for wind and fire bundled delivery scenarios, characterized in that: include: Data acquisition module, data processing module and planning setting module; The data acquisition module is used to obtain historical wind power output per unit data, wind power initial power abandonment rate, peak load period, thermal power capacity, thermal power minimum technical output rate, thermal power plant power consumption rate and transmission channel capacity of the location of the wind power planning site; The data processing module is configured to calculate the effective wind power output rate based on the historical wind power output normalized data and the initial wind power curtailment rate; calculate a preselected range of wind farm capacity based on the thermal power capacity, the minimum technical output rate of thermal power, the transmission channel capacity, and the effective wind power output rate; and determine a preselected wind farm capacity value based on the preselected range of wind farm capacity; Calculating the remaining capacity of the transmission channel when the thermal power plant is operating at full output based on the thermal power capacity, the power consumption rate of the thermal power plant, and the capacity of the transmission channel; Repeat the wind farm capacity preselected value verification operation until the actual wind power curtailment rate is less than the preset wind power curtailment rate threshold; wherein the wind farm capacity preselected value verification operation includes: calculating the actual wind power output rate when the thermal power is running at full output according to the remaining capacity of the transmission channel and the current wind power capacity preselected value; calculating the new wind power curtailment rate when the thermal power is running at full output according to the actual wind power output rate, the effective wind power output rate, the peak load period, and the historical wind power output normalized data; calculating the actual wind power curtailment rate according to the new wind power curtailment rate and the initial wind power curtailment rate; judging whether the actual wind power curtailment rate is less than the wind power curtailment rate threshold, and if not, adjusting the wind farm capacity preselected value down according to a preset step size to obtain a new wind farm capacity preselected value; The planning setting module is configured to use the final preselected wind farm capacity value as a wind farm capacity planning value, and plan the wind farm according to the wind farm capacity planning value.

9. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for wind farm capacity planning according to any one of claims 1 to 7 is implemented.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute the wind farm capacity planning method according to any one of claims 1 to 7.

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