Method and system for evaluating wind curtailment in winter heating period in northern area

Abstract

The invention discloses a northern area winter heating period wind curtailment evaluation method, and belongs to the technical field of power consumption, the northern area winter heating period wind curtailment evaluation method constructs multiple dimensions such as wind curtailment power quantity, wind curtailment hours, wind curtailment rate and the like aiming at the problem of serious wind curtailment phenomenon in the northern area heating period of a high-proportion wind power access power grid; various heating period wind curtailment evaluation methods such as peak regulation wind curtailment and net rack wind curtailment are beneficial to analyzing the characteristics of the heating period peak regulation wind curtailment and the net rack wind curtailment and the effect of the electric heating heat storage load on the wind curtailment absorption; the method has practical significance for mastering the wind curtailment rule in the heating period of northern areas and implementing wind curtailment absorption measures of electric heating heat storage heating.

Description

Technical Field

[0001] This application belongs to the field of power consumption technology, and in particular relates to a method and system for evaluating wind curtailment during the winter heating season in northern regions. Background Technology

[0002] With the large-scale grid connection of wind power, wind power consumption has become a major concern. During the winter heating season in northern regions, the flexible adjustment capabilities of thermal power units are reduced due to the constraint of "heat-driven electricity generation," leading to frequent wind curtailment. Further absorption of wind curtailment requires research into its characteristics to find the most suitable measures. By establishing wind curtailment evaluation indicators based on multiple dimensions such as curtailment type and cycle, the characteristics of wind curtailment in northern regions can be better analyzed and understood.

[0003] Existing research findings provide guidance for understanding large-scale wind power grid integration and wind curtailment absorption, but they lack a systematic analysis of the electricity volume, cycle, and type of wind curtailment during the heating season in northern regions. Wind power fluctuations and wind curtailment fluctuations have completely different characteristics. From the perspective of heat storage to absorb wind curtailment, it is necessary to study the coordination relationship between wind curtailment and electric heating / heat storage loads during the heating season.

[0004] Therefore, it is necessary to provide a new method for evaluating wind curtailment during the winter heating season in northern regions and to systematically solve the above-mentioned technical problems. Summary of the Invention

[0005] The purpose of this disclosure is to provide a method and system for evaluating wind curtailment during the winter heating season in northern regions in order to solve the above-mentioned problems.

[0006] This disclosure achieves the above objectives through the following technical solutions: A method for evaluating wind curtailment during the winter heating season in northern regions includes the following steps: The annual amount of wind power curtailment and the number of hours of wind power curtailment during the heating season are calculated based on the acquired wind power curtailment data. Calculate the actual wind curtailment rate and the annual wind curtailment rate based on the annual wind curtailment volume during the heating season. Based on the obtained hourly power of peak-shaving wind curtailment and hourly power of grid-connected wind curtailment, the correlation coefficients between peak-shaving wind curtailment and the annual wind curtailment occurrence time series and the correlation coefficients between grid-connected wind curtailment and the annual wind curtailment occurrence time series are calculated respectively, and the type of wind curtailment is determined based on the magnitude of the two. A comprehensive evaluation of wind curtailment during the heating season is conducted based on the annual wind curtailment volume, the number of hours of wind curtailment during the heating season, the actual wind curtailment rate during the heating season, the annual wind curtailment rate, and the type of wind curtailment.

[0007] As a further optimization of this disclosure, the formula for calculating the annual wind power curtailment during the heating season is as follows: ; Where I represents the number of days, J represents the time, M represents 1 day (24 hours), K represents the number of wind power samples collected per hour, and P represents the number of samples collected per hour. Q (I, J, K) represents the wind power curtailment on day I, hour J, and time K, and N represents the number of heating days.

[0008] As a further optimization of this disclosure, the calculation of the number of hours of wind curtailment during the heating season includes: Calculate the annual wind curtailment time series T Q ( I , J The formula is as follows: ; In the formula, T Q ( I , J ) is the first I Heaven, the First J Hourly wind curtailment status: 1 indicates wind curtailment occurred, 0 indicates otherwise; P Q ( I , J ) is the first I Heaven, the First J Hours of abandoned wind power; Based on the annual wind curtailment timing sequence T Q ( I , J Calculate the number of hours of wind curtailment during the heating season. T NWQ The formula is as follows: .

[0009] As a further optimization of this disclosure, the actual wind curtailment rate during the heating season is calculated based on the annual wind curtailment volume, including: According to the annual wind curtailment during the heating season Q NWQ With the annual wind power generation obtained Q WN Calculate the actual wind curtailment rate during the heating season. The formula is as follows: ; In the formula, Q WN Annual wind power generation; P ( I , J , K ) indicates the first I Heaven, the First J Hour, First K Wind power generation at all times.

[0010] As a further optimization of this disclosure, the calculation of the annual wind curtailment rate includes: According to the annual wind curtailment during the heating season Q NWQ Electricity consumed by the acquired electric heating and heat storage load Q NC Calculate the amount of wind power to be curtailed during the annual heating season. Q NWE The formula is as follows: ; in, This represents the operating power of the electric heating load on day I, hour J, and time K. According to the annual wind curtailment during the heating season Q NWQ The amount of wind power to be curtailed during the annual heating season. Q NWE Calculate the annual wind curtailment rate The formula is as follows: .

[0011] As a further optimization of this disclosure, the correlation coefficients between peak-shaving wind curtailment and the annual wind curtailment time series and between grid-connected wind curtailment and the annual wind curtailment time series are calculated based on the obtained peak-shaving wind curtailment hourly power and grid-connected wind curtailment hourly power, respectively. The type of wind curtailment is then determined based on the magnitude of both coefficients, including: Calculate the time series of peak-shaving wind curtailment T TQ ( I , J The formula is as follows: ; In the formula, P TQ ( I , J This refers to the hourly power consumption for peak-shaving wind curtailment. Calculate the time series of wind curtailment on the grid structure T WQ ( I , J The formula is as follows: ; In the formula, P WQ ( I , J This refers to the hourly power generated by wind curtailment from the power grid. Calculate the time series of peak-shaving wind curtailment occurrence. T TQ ( I ,J (and the timing of wind curtailment in the stated year) T Q ( I , J correlation T TWQ ( I , J The formula is as follows: ; Calculate the time series of wind curtailment occurrence of the grid structure. T WQ ( I , J (and the timing of wind curtailment in the stated year) T Q ( I , J correlation T WWQ ( I , J The formula is as follows: ; Calculate peak-shaving wind curtailment and the time series of wind curtailment occurrences in the stated year. T Q ( I , J correlation coefficient α TWQ The formula is as follows: ; Calculate the wind curtailment of the grid structure and the time series of wind curtailment occurrence in the stated year. T Q ( I , J correlation coefficient α WWQ The formula is as follows: ; like α TWQ > α WWQ Then the type of wind curtailment is peak-shaving wind curtailment; if α TWQ < α WWQ If so, the wind curtailment type is grid-structure wind curtailment.

[0012] As a further optimization of this disclosure, if the type of wind curtailment is peak-shaving wind curtailment, the main reason for wind curtailment during the winter heating season in this region is insufficient peak-shaving capacity; if the type of wind curtailment is grid-based wind curtailment, the main reason for wind curtailment during the winter heating season in this region is limited grid capacity.

[0013] A system for evaluating wind curtailment during the winter heating season in northern regions includes: The wind curtailment power and duration calculation module is used to calculate the annual wind curtailment power and the number of wind curtailment hours during the heating season based on the acquired wind curtailment power data. The wind curtailment rate calculation module is used to calculate the actual wind curtailment rate and the annual wind curtailment rate based on the annual wind curtailment electricity during the heating season. The wind curtailment type determination module is used to calculate the correlation coefficient between peak-shaving wind curtailment and the annual wind curtailment time series and the correlation coefficient between grid-connected wind curtailment and the annual wind curtailment time series based on the obtained peak-shaving wind curtailment hourly power and grid-connected wind curtailment hourly power, respectively, and determine the wind curtailment type based on the magnitude of the two. The comprehensive evaluation module is used to comprehensively evaluate the wind curtailment during the heating season based on the annual wind curtailment volume, the number of wind curtailment hours during the heating season, the actual wind curtailment rate during the heating season, the annual wind curtailment rate, and the type of wind curtailment.

[0014] As a further optimization of this disclosure, the formula for calculating the annual wind power curtailment during the heating season is as follows: ; Where I represents the number of days, J represents the time, M represents 1 day (24 hours), K represents the number of wind power samples collected per hour, and P represents the number of samples collected per hour. Q (I, J, K) represents the wind power curtailment on day I, hour J, and time K, and N represents the number of heating days.

[0015] As a further optimization of this disclosure, the wind curtailment power and duration calculation module calculates the number of wind curtailment hours during the heating season, including: Calculate the annual wind curtailment time series T Q ( I , J The formula is as follows: ; In the formula, T Q ( I , J ) is the first I Heaven, the First J Hourly wind curtailment status: 1 indicates wind curtailment occurred, 0 indicates otherwise; P Q ( I , J ) is the first I Heaven, the First J Hours of abandoned wind power; Based on the annual wind curtailment timing sequence T Q ( I , J Calculate the number of hours of wind curtailment during the heating season.T NWQ The formula is as follows: .

[0016] As a further optimization of this disclosure, the wind curtailment rate calculation module calculates the actual wind curtailment rate during the heating season based on the annual wind curtailment volume, including: According to the annual wind curtailment during the heating season Q NWQ With the annual wind power generation obtained Q WN Calculate the actual wind curtailment rate during the heating season. The formula is as follows: ; In the formula, Q WN Annual wind power generation; P ( I , J , K ) indicates the first I Heaven, the First J Hour, First K Wind power generation at all times.

[0017] As a further optimization of this disclosure, the wind curtailment type determination module calculates the annual wind curtailment rate by including: According to the annual wind curtailment during the heating season Q NWQ Electricity consumed by the acquired electric heating and heat storage load Q NC Calculate the amount of wind power to be curtailed during the annual heating season. Q NWE The formula is as follows: ; in, This represents the operating power of the electric heating load on day I, hour J, and time K. According to the annual wind curtailment during the heating season Q NWQ The amount of wind power to be curtailed during the annual heating season. Q NWE Calculate the annual wind curtailment rate The formula is as follows: .

[0018] As a further optimization of this disclosure, the wind curtailment type determination module calculates the correlation coefficients between peak-shaving wind curtailment and the annual wind curtailment time series and the grid-connected wind curtailment and the annual wind curtailment time series, respectively, based on the acquired peak-shaving wind curtailment hourly power and grid-connected wind curtailment hourly power, and determines the wind curtailment type based on the magnitude of both, including: Calculate the time series of peak-shaving wind curtailment T TQ ( I , J The formula is as follows: ; In the formula, P TQ ( I , J This refers to the hourly power consumption for peak-shaving wind curtailment. Calculate the time series of wind curtailment on the grid structure T WQ ( I , J The formula is as follows: ; In the formula, P WQ ( I , J This refers to the hourly power generated by wind curtailment from the power grid. Calculate the time series of peak-shaving wind curtailment occurrence. T TQ ( I , J (and the timing of wind curtailment in the stated year) T Q ( I , J correlation T TWQ ( I , J The formula is as follows: ; Calculate the time series of wind curtailment occurrence of the grid structure. T WQ ( I , J (and the timing of wind curtailment in the stated year) T Q ( I , J correlation T WWQ ( I , J The formula is as follows: ; Calculate peak-shaving wind curtailment and the time series of wind curtailment occurrences in the stated year. T Q ( I , J correlation coefficient α TWQ The formula is as follows: ; Calculate the wind curtailment of the grid structure and the time series of wind curtailment occurrence in the stated year. T Q ( I , J correlation coefficient α WWQ The formula is as follows: ; like α TWQ > α WWQ Then the type of wind curtailment is peak-shaving wind curtailment; if α TWQ < α WWQ If so, the wind curtailment type is grid-structure wind curtailment.

[0019] As a further optimization of this disclosure, if the type of wind curtailment is peak-shaving wind curtailment, the main reason for wind curtailment during the winter heating season in this region is insufficient peak-shaving capacity; if the type of wind curtailment is grid-based wind curtailment, the main reason for wind curtailment during the winter heating season in this region is limited grid capacity.

[0020] An electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; The processor is used to execute the program stored in the memory to implement the wind curtailment evaluation method for the winter heating season in northern regions.

[0021] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for evaluating wind curtailment during the winter heating season in northern regions.

[0022] The beneficial effects of this disclosure are as follows: This disclosure addresses the severe wind curtailment problem during the heating season in northern regions where a high proportion of wind power is connected to the grid. It constructs a multi-dimensional evaluation method for wind curtailment during the heating season, including curtailed power volume, curtailed hours, and curtailment rate, as well as various types of curtailment such as peak-shaving curtailment and grid-connected curtailment. This method helps to analyze the characteristics of peak-shaving and grid-connected curtailment during the heating season, and the role of electric heating and thermal storage loads in wind curtailment absorption. It is of practical significance for understanding the wind curtailment patterns during the heating season in northern regions and implementing wind curtailment absorption measures using electric heating and thermal storage heating. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart of a method in an embodiment of this disclosure; Figure 2 This is a graph showing the distribution of hourly electricity consumption during the heating season over the past two years in an embodiment of this disclosure. Figure 3 This is a system structure block diagram of an embodiment of this disclosure; Figure 4 This is a block diagram of the device structure in an embodiment of this disclosure. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] like Figure 1 As shown, a method for evaluating wind curtailment during the winter heating season in northern regions includes the following steps: S1. Calculate the annual wind curtailment volume and hours of wind curtailment during the heating season based on the acquired wind curtailment data, specifically including: Calculate the annual wind curtailment during the heating season based on hourly wind curtailment power. Q NWQ : ; In the formula, I For the number of days, J For time, M For 24 hours a day, K The number of wind power samples taken per hour is typically counted at 1 sample per 5 minutes. K =12, P Q ( I , J , K ) is the first I Heaven, the First J Hour, FirstK Wind power curtailment at any time; N This refers to the number of days of heating.

[0027] Calculate the annual wind curtailment time series T Q ( I , J )for: ; In the formula, T Q ( I , J ) is the first I Heaven, the First J Hourly wind curtailment status: 1 indicates wind curtailment occurred, 0 indicates otherwise; P Q ( I , J ) is the first I Heaven, the First J Hours of abandoned wind power.

[0028] Calculate the number of hours of wind curtailment during the heating season T NWQ : .

[0029] S2. Calculate the actual wind curtailment rate and the annual wind curtailment rate based on the annual wind curtailment volume during the heating season, specifically including: Based on the annual wind power curtailment during the heating season Q NWQ With annual wind power generation Q WN Calculate the actual wind curtailment rate during the heating season. : ; In the formula, Q WN Annual wind power generation; P ( I , J , K ) indicates the first I Heaven, the First J Hour, First K Wind power generation at all times. Based on the annual wind power curtailment during the heating season Q NWQ Electricity consumption for heat storage and heating load Q NC Calculate the amount of wind power to be curtailed during the annual heating season. Q NWE : ; in, This represents the operating power of the electric heating load on day I, hour J, and time K.

[0030] Based on the annual wind power curtailment during the heating season Q NWQ The amount of wind power to be curtailed during the annual heating season Q NWE Calculate the annual wind curtailment rate : .

[0031] S3. Based on the obtained hourly power consumption for peak-shaving wind curtailment and hourly power consumption for grid-connected wind curtailment, calculate the correlation coefficients between peak-shaving wind curtailment and the annual wind curtailment occurrence time series, and determine the type of wind curtailment based on the magnitudes of both. Specifically, this includes: Wind curtailment during the heating season is mainly caused by insufficient peak-shaving capacity and insufficient grid transmission capacity. These two types of wind curtailment are called peak-shaving wind curtailment and grid-based wind curtailment, respectively.

[0032] Calculate the time series of peak-shaving wind curtailment T TQ ( I , J ): ; In the formula, P TQ ( I , J This refers to the hourly power consumption for peak-shaving wind curtailment.

[0033] Calculate the time series of wind curtailment on the grid structure T WQ ( I , J ): ; In the formula, P WQ ( I , J (This refers to the hourly power generated by wind curtailment from the grid structure.)

[0034] Calculate the correlation between peak-shaving wind curtailment and the time series of annual wind curtailment occurrence. T TWQ ( I , J ): ; Calculate the correlation between wind curtailment from the grid structure and the time series of annual wind curtailment occurrence. T WWQ ( I , J ): ; Calculate the correlation coefficient between peak-shaving wind curtailment and the annual wind curtailment occurrence time series. α TWQ : ; Calculate the correlation coefficient between the time series of wind curtailment on the grid structure and the annual wind curtailment occurrence. α WWQ : ; The type of wind curtailment is determined by the magnitude of the correlation coefficient between different types of wind curtailment and the annual wind curtailment occurrence time series. If... α TWQ > α WWQ If the wind curtailment type is 1, then it is peak-shaving wind curtailment; otherwise, if α TWQ < α WWQ If the wind curtailment type is not specified, then the wind curtailment type is grid-based wind curtailment. According to the wind curtailment type evaluation results, the main reasons for wind curtailment during the winter heating season in this region are insufficient peak-shaving capacity (evaluation result: peak-shaving wind curtailment) / limited grid capacity (evaluation result: grid-based wind curtailment).

[0035] S4. Conduct a comprehensive evaluation of wind curtailment during the heating season based on the annual wind curtailment volume, the number of wind curtailment hours during the heating season, the actual wind curtailment rate during the heating season, the annual wind curtailment rate, and the type of wind curtailment.

[0036] In this embodiment, actual data from two consecutive years and the first quarter of the following year for wind power generation, wind curtailment, electric heating and thermal storage load, peak-shaving wind curtailment, and grid-based wind curtailment of a certain provincial power grid are used. The heating season of this provincial power grid is 5 months, the middle of the heating season is 3 months, and the beginning and end of the heating season are 2 months before and after. The maximum load of the power grid is 25,000 MW, the minimum load is 20,000 MW, wind power is 7,500 MW, and centralized electric heating and thermal storage load is 1,000 MW.

[0037] The hourly electricity consumption distribution curves during the heating season in the past two years are as follows: Figure 2 As shown, wind curtailment occurs more during off-peak hours in the heating season, and also occurs during midday. Wind curtailment is less at other times. Therefore, wind curtailment is closely related to the grid's regulation capacity. When the grid is operating at off-peak hours, the regulation capacity of thermal power units decreases, resulting in wind curtailment.

[0038] Table 1 shows the proportion of centralized electric heating and thermal storage load consumption in the second and third years, the percentage of wind power to be curtailed during the heating season, the expected curtailment rate, and the actual curtailment rate. It can be seen that because the power grid utilizes curtailed wind power for heating and thermal storage, the wind power that would otherwise be curtailed is used for heating and thermal storage, effectively increasing wind power output. Therefore, the ratio of electric heating and thermal storage load consumption to the expected curtailment during the heating season needs to be calculated to indicate the capacity of electric heating and thermal storage load to absorb curtailed wind power. In the first quarter of the third year, the proportion of electric heating and thermal storage load consumption to the expected curtailment was 75.5%, reducing the expected curtailment rate from 10.1% to the actual 2.41%. Therefore, utilizing curtailed wind power for heating and thermal storage is an effective way to absorb curtailed wind power.

[0039] Table 1. Data on Electric Heating Power Generation, Percentage of Wind Curtailment Expected, Wind Curtailment Rate, and Actual Wind Curtailment Rate

[0040] Table 2 shows the peak-shaving wind power curtailment, grid-based wind power curtailment, and the percentage of peak-shaving wind power curtailment in the second heating season and the first quarter of the third year. It can be seen that peak-shaving wind power curtailment is much greater than grid-based wind power curtailment. Only in the third year, due to a significant reduction in peak-shaving wind power curtailment, did the grid-based wind power curtailment reach 25%. Therefore, insufficient peak-shaving resources are the main cause of grid-based wind power curtailment. The intervention of flexible devices such as electric heating and thermal storage can effectively improve wind power utilization.

[0041] Table 2 Data on Peak-Shaving Wind Curtailment, Grid-Based Wind Curtailment, Peak-Shaving Wind Curtailment Ratio, and Grid-Based Wind Curtailment Ratio

[0042] like Figure 3 As shown, embodiments of this disclosure provide a system for evaluating wind curtailment during the winter heating season in northern regions, including: The wind curtailment power and duration calculation module is used to calculate the annual wind curtailment power and the number of wind curtailment hours during the heating season based on the acquired wind curtailment power data. The wind curtailment rate calculation module is used to calculate the actual wind curtailment rate and the annual wind curtailment rate based on the annual wind curtailment electricity during the heating season. The wind curtailment type determination module is used to calculate the correlation coefficient between peak-shaving wind curtailment and the annual wind curtailment time series and the correlation coefficient between grid-connected wind curtailment and the annual wind curtailment time series based on the obtained peak-shaving wind curtailment hourly power and grid-connected wind curtailment hourly power, respectively, and determine the wind curtailment type based on the magnitude of the two. The comprehensive evaluation module is used to comprehensively evaluate the wind curtailment during the heating season based on the annual wind curtailment volume, the number of wind curtailment hours during the heating season, the actual wind curtailment rate during the heating season, the annual wind curtailment rate, and the type of wind curtailment.

[0043] The implementation process of the functions and roles of each module in the above system is detailed in the implementation process of the corresponding steps in the above method, and will not be repeated here.

[0044] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The system embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0045] See Figure 4 The electronic device provided in the embodiments of this disclosure includes a processor 1110, a communication interface 1120, a memory 1130 and a communication bus 1140, wherein the processor 1110, the communication interface 1120 and the memory 1130 communicate with each other through the communication bus 1140. Memory 1130 is used to store computer programs; The processor 1110, when executing the program stored in the memory 1130, implements the above-mentioned method for evaluating wind curtailment during the winter heating season in northern regions. The aforementioned communication bus 1140 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus 1140 can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, it is represented by only one thick line in the figure, but this does not indicate that there is only one bus or one type of bus.

[0046] The communication interface 1120 is used for communication between the above-mentioned electronic device and other devices.

[0047] The memory 1130 may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 1130 may also be at least one storage device located remotely from the aforementioned processor 1110.

[0048] Embodiments of this disclosure also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program that, when executed by a processor, implements the wind curtailment evaluation method for winter heating season in northern regions as described above.

[0049] The embodiments described above are merely examples of several implementations of this disclosure, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent disclosure. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this disclosure, and these modifications and improvements all fall within the protection scope of this disclosure.

Claims

1. A method for evaluating wind curtailment during the winter heating season in northern regions, characterized in that, Includes the following steps: The annual amount of wind power curtailment and the number of hours of wind power curtailment during the heating season are calculated based on the acquired wind power curtailment data. Calculate the actual wind curtailment rate and the annual wind curtailment rate based on the annual wind curtailment volume during the heating season. Based on the obtained hourly power of peak-shaving wind curtailment and hourly power of grid-connected wind curtailment, the correlation coefficients between peak-shaving wind curtailment and the annual wind curtailment occurrence time series and the correlation coefficients between grid-connected wind curtailment and the annual wind curtailment occurrence time series are calculated respectively, and the type of wind curtailment is determined based on the magnitude of the two. A comprehensive evaluation of wind curtailment during the heating season is conducted based on the annual wind curtailment volume, the number of hours of wind curtailment during the heating season, the actual wind curtailment rate during the heating season, the annual wind curtailment rate, and the type of wind curtailment.

2. The method for evaluating wind curtailment during the winter heating season in northern regions according to claim 1, characterized in that, The formula for calculating the annual wind power curtailment during the heating season is as follows: ； Where I represents the number of days, J represents the time, M represents 1 day (24 hours), K represents the number of wind power samples collected per hour, and P represents the number of samples collected per hour. Q (I, J, K) represents the wind power curtailment on day I, hour J, and time K, and N represents the number of heating days.

3. The method for evaluating wind curtailment during the winter heating season in northern regions according to claim 1, characterized in that, The calculation of the number of hours of wind curtailment during the heating season includes: Calculate the annual wind curtailment time series T Q ( I , J The formula is as follows: ； In the formula, T Q ( I , J ) is the first I Heaven, the First J Hourly wind curtailment status: 1 indicates wind curtailment occurred, 0 indicates otherwise; P Q ( I , J ) is the first I Heaven, the First J Hours of abandoned wind power; Based on the annual wind curtailment timing sequence T Q ( I , J Calculate the number of hours of wind curtailment during the heating season. T NWQ The formula is as follows: 。 4. The method for evaluating wind curtailment during the winter heating season in northern regions according to claim 1, characterized in that, The actual wind curtailment rate during the heating season is calculated based on the annual wind curtailment volume, including: According to the annual wind curtailment during the heating season Q NWQ With the annual wind power generation obtained Q WN Calculate the actual wind curtailment rate during the heating season. The formula is as follows: ； In the formula, Q WN Annual wind power generation; P ( I , J , K ) indicates the first I Heaven, the First J Hour, First K Wind power generation at all times.

5. The method for evaluating wind curtailment during the winter heating season in northern regions according to claim 1, characterized in that, The calculation of the annual wind curtailment rate includes: According to the annual wind curtailment during the heating season Q NWQ Electricity consumed by the acquired electric heating and heat storage load Q NC Calculate the amount of wind power to be curtailed during the annual heating season. Q NWE The formula is as follows: ； in, This represents the operating power of the electric heating load on day I, hour J, and time K. According to the annual wind curtailment during the heating season Q NWQ The amount of wind power to be curtailed during the annual heating season. Q NWE Calculate the annual wind curtailment rate The formula is as follows: 。 6. The method for evaluating wind curtailment during the winter heating season in northern regions according to claim 1, characterized in that, Based on the obtained hourly power consumption for peak-shaving wind curtailment and hourly power consumption for grid-connected wind curtailment, the correlation coefficients between peak-shaving wind curtailment and the annual wind curtailment occurrence time series and the correlation coefficients between grid-connected wind curtailment and the annual wind curtailment occurrence time series are calculated respectively. The type of wind curtailment is then determined based on the magnitude of both coefficients, including: Calculate the time series of peak-shaving wind curtailment T TQ ( I , J The formula is as follows: ； In the formula, P TQ ( I , J This refers to the hourly electricity generated by wind curtailment during peak shaving. Calculate the time series of wind curtailment on the grid structure T WQ ( I , J The formula is as follows: ； In the formula, P WQ ( I , J This refers to the hourly power generated by wind curtailment from the power grid. Calculate the time series of peak-shaving wind curtailment occurrence. T TQ ( I , J (and the timing of wind curtailment in the stated year) T Q ( I , J correlation T TWQ ( I , J The formula is as follows: ； Calculate the time series of wind curtailment occurrence of the grid structure. T WQ ( I , J (and the timing of wind curtailment in the stated year) T Q ( I , J correlation T WWQ ( I , J The formula is as follows: ； Calculate the peak-shaving wind curtailment and the time series of wind curtailment occurrences in the stated year. T Q ( I , J correlation coefficient α TWQ The formula is as follows: ； Calculate the wind curtailment of the grid structure and the time series of wind curtailment occurrence in the stated year. T Q ( I , J correlation coefficient α WWQ The formula is as follows: ； like α TWQ > α WWQ Then the type of wind curtailment is peak-shaving wind curtailment; if α TWQ < α WWQ If so, the type of wind curtailment is grid-structure wind curtailment.

7. The method for evaluating wind curtailment during the winter heating season in northern regions according to claim 6, characterized in that, If the type of wind curtailment is peak-shaving wind curtailment, the main reason for wind curtailment during the winter heating season in this region is insufficient peak-shaving capacity; if the type of wind curtailment is grid-based wind curtailment, the main reason for wind curtailment during the winter heating season in this region is limited grid capacity.

8. A system for evaluating wind curtailment during the winter heating season in northern regions, characterized in that, include: The wind curtailment power and duration calculation module is used to calculate the annual wind curtailment power and the number of wind curtailment hours during the heating season based on the acquired wind curtailment power data. The wind curtailment rate calculation module is used to calculate the actual wind curtailment rate and the annual wind curtailment rate based on the annual wind curtailment electricity during the heating season. The wind curtailment type determination module is used to calculate the correlation coefficient between peak-shaving wind curtailment and the annual wind curtailment time series and the correlation coefficient between grid-connected wind curtailment and the annual wind curtailment time series based on the obtained peak-shaving wind curtailment hourly power and grid-connected wind curtailment hourly power, respectively, and determine the wind curtailment type based on the magnitude of the two. The comprehensive evaluation module is used to comprehensively evaluate the wind curtailment during the heating season based on the annual wind curtailment volume, the number of wind curtailment hours during the heating season, the actual wind curtailment rate during the heating season, the annual wind curtailment rate, and the type of wind curtailment.

9. A wind curtailment evaluation system for winter heating season in northern regions according to claim 8, characterized in that, The formula for calculating the annual wind power curtailment during the heating season is as follows: ； Where I represents the number of days, J represents the time, M represents 1 day (24 hours), K represents the number of wind power samples collected per hour, and P represents the number of samples collected per hour. Q (I, J, K) represents the wind power curtailment on day I, hour J, and time K, and N represents the number of heating days.

10. A wind curtailment evaluation system for winter heating season in northern regions according to claim 8, characterized in that, The wind curtailment power and duration calculation module calculates the number of hours of wind curtailment during the heating season, including: Calculate the annual wind curtailment time series T Q ( I , J The formula is as follows: ； In the formula, T Q ( I , J ) is the first I Heaven, the First J Hourly wind curtailment status: 1 indicates wind curtailment occurred, 0 indicates otherwise; P Q ( I , J ) is the first I Heaven, the First J Hours of abandoned wind power; Based on the annual wind curtailment timing sequence T Q ( I , J Calculate the number of hours of wind curtailment during the heating season. T NWQ The formula is as follows: 。 11. A wind curtailment evaluation system for winter heating season in northern regions according to claim 8, characterized in that, The wind curtailment rate calculation module calculates the actual wind curtailment rate during the heating season based on the annual wind curtailment volume, including: According to the annual wind curtailment during the heating season Q NWQ With the annual wind power generation obtained Q WN Calculate the actual wind curtailment rate during the heating season. The formula is as follows: ； In the formula, Q WN Annual wind power generation; P ( I , J , K ) indicates the first I Heaven, the First J Hour, First K Wind power generation at all times.

12. A wind curtailment evaluation system for winter heating season in northern regions according to claim 8, characterized in that, The wind curtailment type determination module calculates the annual wind curtailment rate, including: According to the annual wind curtailment during the heating season Q NWQ Electricity consumed by the acquired electric heating and heat storage load Q NC Calculate the amount of wind power to be curtailed during the annual heating season. Q NWE The formula is as follows: ； in, This represents the operating power of the electric heating load on day I, hour J, and time K; based on the annual wind power curtailment during the heating season. Q NWQ The amount of wind power to be curtailed during the annual heating season. Q NWE Calculate the annual wind curtailment rate The formula is as follows: 。 13. A wind curtailment evaluation system for winter heating season in northern regions according to claim 8, characterized in that, The wind curtailment type determination module calculates the correlation coefficients between peak-shaving wind curtailment and the annual wind curtailment time series, and between grid-connected wind curtailment and the annual wind curtailment time series, based on the acquired hourly wind curtailment power and hourly grid-connected wind curtailment power, respectively. Based on the magnitude of these two coefficients, the wind curtailment type is determined, including: Calculate the time series of peak-shaving wind curtailment T TQ ( I , J The formula is as follows: ； In the formula, P TQ ( I , J This refers to the hourly electricity generated by wind curtailment during peak shaving. Calculate the time series of wind curtailment on the grid structure T WQ ( I , J The formula is as follows: ； In the formula, P WQ ( I , J This refers to the hourly power generated by wind curtailment from the power grid. Calculate the time series of peak-shaving wind curtailment occurrence. T TQ ( I , J (and the timing of wind curtailment in the stated year) T Q ( I , J correlation T TWQ ( I , J The formula is as follows: ； Calculate the time series of wind curtailment occurrence of the grid structure. T WQ ( I , J (and the timing of wind curtailment in the stated year) T Q ( I , J correlation T WWQ ( I , J The formula is as follows: ； Calculate the peak-shaving wind curtailment and the time series of wind curtailment occurrences in the stated year. T Q ( I , J correlation coefficient α TWQ The formula is as follows: ； Calculate the wind curtailment of the grid structure and the time series of wind curtailment occurrence in the stated year. T Q ( I , J correlation coefficient α WWQ The formula is as follows: ； like α TWQ > α WWQ Then the type of wind curtailment is peak-shaving wind curtailment; if α TWQ < α WWQ If so, the type of wind curtailment is grid-structure wind curtailment.

14. A wind curtailment evaluation system for winter heating season in northern regions according to claim 13, characterized in that, If the type of wind curtailment is peak-shaving wind curtailment, the main reason for wind curtailment during the winter heating season in this region is insufficient peak-shaving capacity; if the type of wind curtailment is grid-based wind curtailment, the main reason for wind curtailment during the winter heating season in this region is limited grid capacity.

15. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor is used to execute a program stored in a memory to implement the wind curtailment evaluation method for winter heating season in northern regions as described in any one of claims 1-7.

16. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for evaluating wind curtailment during the winter heating season in northern regions as described in any one of claims 1-7.

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