Provincial power grid new energy output characteristic analysis method and system

Abstract

This invention discloses a method for analyzing the renewable energy output characteristics of a provincial power grid. The method includes: acquiring data information of the target provincial power grid; calculating the renewable energy curtailment rate of the target provincial power grid; confirming the month and time period of curtailment in the target provincial power grid and acquiring the corresponding wind power and photovoltaic output data; calculating the corresponding renewable energy output coefficient and comprehensive output coefficient; changing the renewable energy curtailment rate and recalculating the corresponding renewable energy curtailment amount and comprehensive output coefficient; calculating the corresponding curtailment amount and renewable energy output coefficient; repeating the above steps to complete the renewable energy output characteristic analysis of the target provincial power grid. This invention also discloses a system for implementing the aforementioned method for analyzing the renewable energy output characteristics of a provincial power grid. This invention not only achieves the analysis of the renewable energy output characteristics of a provincial power grid under different curtailment rates, but also has higher reliability and better accuracy.

Description

Technical Field

[0001] This invention belongs to the field of electrical automation, specifically relating to a method and system for analyzing the output characteristics of new energy sources in a provincial power grid. Background Technology

[0002] With economic and technological development and the improvement of people's living standards, electricity has become an indispensable secondary energy source in people's production and daily life, bringing endless convenience. Therefore, ensuring a stable and reliable supply of electricity has become one of the most important tasks of the power system.

[0003] In recent years, an increasing number of new energy power generation systems have been integrated into the power grid and are generating electricity. The intermittent, fluctuating, and random nature of the output of these new energy power generation systems has posed a significant challenge to the safe and stable operation of the power system. At the same time, the supporting systems of provincial power grids, such as transmission capacity, peak-shaving and frequency regulation resource allocation, and energy storage facility construction, have not fully kept pace with the development of new energy power generation systems, making the issue of curtailment of new energy power a key bottleneck restricting the industry's development.

[0004] Currently, the renewable energy curtailment rate of provincial power grids has become a core indicator for measuring the regional renewable energy absorption level, and its changes directly reflect the grid's capacity to accept renewable energy and its resource utilization efficiency. At present, the methods for analyzing the renewable energy output characteristics of provincial power grids mainly have the following shortcomings: First, the output characteristics of wind power and photovoltaic power change dynamically under different curtailment rate scenarios; however, existing solutions generally only consider the case of a fixed curtailment rate, thus the reliability and accuracy of existing solutions are poor. Second, grid planning and dispatching operation decisions need to be based on different curtailment rate targets, but existing solutions cannot meet this requirement. Summary of the Invention

[0005] One of the objectives of this invention is to provide a highly reliable and accurate method for analyzing the output characteristics of new energy sources in provincial power grids.

[0006] The second objective of this invention is to provide a system for implementing the method for analyzing the output characteristics of new energy sources in a provincial power grid.

[0007] The method for analyzing the output characteristics of new energy sources in a provincial power grid provided by this invention includes the following steps:

[0008] S1. Obtain data information about the target provincial power grid;

[0009] S2. Based on the data obtained in step S1, calculate the renewable energy curtailment rate of the target provincial power grid;

[0010] S3. Based on the data obtained in step S1, confirm the month and time period of power curtailment in the target provincial power grid, and obtain the corresponding wind power and photovoltaic power output data;

[0011] S4. Based on the data obtained in step S3, calculate the corresponding new energy output coefficient and comprehensive output coefficient;

[0012] S5. Change the renewable energy curtailment rate and recalculate the corresponding renewable energy curtailment amount and comprehensive output coefficient;

[0013] S6. Based on the data obtained in step S5, calculate the corresponding abandoned electricity and new energy output coefficient;

[0014] S7. Repeat steps S5-S6 to complete the analysis of the new energy output characteristics of the target provincial power grid.

[0015] Step S1, which involves obtaining data information of the target provincial power grid, specifically includes the following steps:

[0016] Obtain data information about the target provincial power grid;

[0017] The data information includes load data of the target provincial power grid, renewable energy curtailment data of the target provincial power grid, photovoltaic curtailment data of the target provincial power grid, wind power curtailment data of the target provincial power grid, photovoltaic power generation data of the target provincial power grid, and wind power generation data of the target provincial power grid.

[0018] Step S2, which involves calculating the renewable energy curtailment rate of the target provincial power grid based on the data obtained in step S1, specifically includes the following steps:

[0019] The renewable energy curtailment rate of the target provincial power grid is calculated using the following formula. :

[0020] In the formula This refers to the amount of wind power curtailment. This refers to the amount of electricity wasted by photovoltaic power. This represents the theoretical power generation of wind power. This represents the theoretical power generation of photovoltaics.

[0021] Step S3, which involves identifying the month and time period of power curtailment in the target provincial power grid based on the data obtained in step S1, and acquiring the corresponding wind power and photovoltaic output data, specifically includes the following steps:

[0022] Based on the data obtained in step S1, confirm the month and time period of power curtailment in the target provincial power grid;

[0023] Based on the confirmed months and periods of curtailment in the target provincial power grid, wind power output data for the corresponding months and periods are obtained. And photovoltaic power output data ,in For the i-th wind power output data, Let n be the i-th photovoltaic power output data, and n be the total number of data.

[0024] Step S4, which involves calculating the corresponding new energy output coefficient and comprehensive output coefficient based on the data obtained in step S3, specifically includes the following steps:

[0025] Based on the data obtained in step S3, the corresponding new energy output coefficient is calculated using the following formula:

[0026] In the formula This is an array of wind power output coefficients corresponding to the wind power output data. The wind power output coefficient corresponding to the i-th wind power output data; This is an array of photovoltaic output coefficients corresponding to the photovoltaic output data. The photovoltaic output coefficient corresponding to the i-th photovoltaic output data; for The corresponding installed capacity of wind turbine units; for The corresponding installed capacity of photovoltaic units;

[0027] The overall output coefficient is calculated using the following formula:

[0028] In the formula This is a comprehensive output coefficient array; Let be the i-th comprehensive output coefficient.

[0029] Step S5, which involves changing the renewable energy curtailment rate and recalculating the corresponding renewable energy curtailment amount and overall power output coefficient, specifically includes the following steps:

[0030] Change the curtailment rate of renewable energy;

[0031] After setting and changing the renewable energy curtailment rate, all renewable energy curtailment occurs in the confirmed target provincial power grid months and time periods of curtailment.

[0032] The change in the utilization rate of new energy sources is calculated using the following formula:

[0033] In the formula This represents the change in the utilization rate of new energy sources. To change the renewable energy curtailment rate; To change the previous renewable energy curtailment rate;

[0034] The following formula is used to calculate the increase in the amount of abandoned electricity and the overall power output coefficient required after changing the renewable energy curtailment rate:

[0035] In the formula To increase the amount of renewable energy power that has been wasted; For wind power generation; Photovoltaic power generation; In order to meet the increased demand for abandoned electricity, the comprehensive output coefficient of new energy sources; This represents the data on the amount of electricity abandoned by the i-th renewable energy source.

[0036] Step S6, which involves calculating the corresponding abandoned electricity and renewable energy output coefficient based on the data obtained in step S5, specifically includes the following steps:

[0037] Constructing a model for calculating abandoned electricity:

[0038] In the formula To increase the amount of wind power curtailment; To increase the amount of solar power curtailment; To increase the wind power curtailment rate after wind power curtailment; To increase the rate of solar power curtailment after solar power curtailment; The proportion of wind power curtailment and solar power curtailment in the increased curtailment volume; This represents the amount of abandoned power corresponding to the i-th wind power output data. This represents the amount of abandoned power corresponding to the i-th photovoltaic output data. The duration corresponding to the data;

[0039] Simultaneously set: If and If none of these conditions are met, then the amount of wind power curtailment will increase. The value is And the increased amount of abandoned photovoltaic power The value is ;

[0040] The new energy output coefficient is calculated using the following formula:

[0041] In the formula This is an array of wind power output coefficient values ​​after adding the amount of abandoned power; This refers to the wind power output coefficient corresponding to the i-th wind power output data after adding the amount of abandoned power; This is an array of photovoltaic power output coefficient values ​​after adding the amount of abandoned electricity; The photovoltaic output coefficient is the corresponding value of the i-th wind power output data after adding the amount of abandoned power.

[0042] This invention also provides a system for implementing the method for analyzing the characteristics of renewable energy output in a provincial power grid, comprising a data acquisition module, a curtailment calculation module, a data confirmation module, a comprehensive calculation module, a secondary calculation module, a coefficient calculation module, and a characteristic analysis module; the data acquisition module, curtailment calculation module, data confirmation module, comprehensive calculation module, secondary calculation module, coefficient calculation module, and characteristic analysis module are connected in series; the data acquisition module is used to acquire data information of the target provincial power grid and upload the data information to the curtailment calculation module; the curtailment calculation module is used to calculate the renewable energy curtailment rate of the target provincial power grid based on the received data information and the acquired data information, and upload the data information to the data confirmation module; the data confirmation module is used to confirm the month and time of curtailment in the target provincial power grid based on the received data information and the acquired data information. The system receives and obtains corresponding wind and solar power output data, and uploads the data to the integrated calculation module. The integrated calculation module calculates the corresponding new energy output coefficient and integrated output coefficient based on the received data, and uploads the data to the secondary calculation module. The secondary calculation module adjusts the new energy curtailment rate based on the received data, recalculates the corresponding new energy curtailment amount and integrated output coefficient, and uploads the data to the coefficient calculation module. The coefficient calculation module calculates the corresponding curtailment amount and new energy output coefficient based on the received data, and uploads the data to the characteristic analysis module. The characteristic analysis module repeats the secondary calculation module and the coefficient calculation module based on the received data to complete the new energy output characteristic analysis of the target provincial power grid.

[0043] The method and system for analyzing the output characteristics of new energy sources in provincial power grids provided by this invention, by dynamically adjusting the curtailment rate and combining the calculation and allocation of the curtailment rate, the analysis of the output coefficient and the calculation of the simultaneity rate, not only realizes the analysis of the output characteristics of new energy sources in provincial power grids under different curtailment rate conditions, but also has higher reliability and better accuracy. Attached Figure Description

[0044] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0045] Figure 2 This is a schematic diagram of the functional modules of the system of the present invention. Detailed Implementation

[0046] like Figure 1 The diagram shown is a flowchart of the method of the present invention: The method for analyzing the output characteristics of new energy sources in a provincial power grid disclosed in this invention includes the following steps:

[0047] S1. Obtain data information of the target provincial power grid; specifically including the following steps:

[0048] Obtain data information about the target provincial power grid;

[0049] The data information includes load data of the target provincial power grid, renewable energy curtailment data of the target provincial power grid, photovoltaic curtailment data of the target provincial power grid, wind power curtailment data of the target provincial power grid, photovoltaic power generation data of the target provincial power grid, and wind power generation data of the target provincial power grid.

[0050] S2. Based on the data obtained in step S1, calculate the renewable energy curtailment rate of the target provincial power grid; specifically including the following steps:

[0051] The renewable energy curtailment rate of the target provincial power grid is calculated using the following formula. :

[0052] In the formula This refers to the amount of wind power curtailment. This refers to the amount of electricity wasted by photovoltaic power. This represents the theoretical power generation of wind power. This represents the theoretical power generation of photovoltaic power.

[0053] S3. Based on the data obtained in step S1, confirm the month and time period of power curtailment in the target provincial power grid, and obtain the corresponding wind power and photovoltaic output data; specifically including the following steps:

[0054] Based on the data obtained in step S1, confirm the month and time period of power curtailment in the target provincial power grid;

[0055] Based on the confirmed months and periods of curtailment in the target provincial power grid, wind power output data for the corresponding months and periods are obtained. And photovoltaic power output data ,in For the i-th wind power output data, This represents the i-th photovoltaic power output data, where n is the total number of data points.

[0056] S4. Based on the data obtained in step S3, calculate the corresponding new energy output coefficient and overall output coefficient; specifically including the following steps:

[0057] Based on the data obtained in step S3, the corresponding new energy output coefficient is calculated using the following formula:

[0058] In the formula This is an array of wind power output coefficients corresponding to the wind power output data. The wind power output coefficient corresponding to the i-th wind power output data; This is an array of photovoltaic output coefficients corresponding to the photovoltaic output data. The photovoltaic output coefficient corresponding to the i-th photovoltaic output data; for The corresponding installed capacity of wind turbine units; for The corresponding installed capacity of photovoltaic units;

[0059] The overall output coefficient is calculated using the following formula:

[0060] In the formula This is a comprehensive output coefficient array; This is the i-th overall output coefficient;

[0061] S5. Change the renewable energy curtailment rate and recalculate the corresponding renewable energy curtailment amount and overall power output coefficient; specifically including the following steps:

[0062] Change the curtailment rate of renewable energy;

[0063] After setting and changing the renewable energy curtailment rate, all renewable energy curtailment occurs in the confirmed target provincial power grid months and time periods of curtailment.

[0064] The change in the utilization rate of new energy sources is calculated using the following formula:

[0065] In the formula This represents the change in the utilization rate of new energy sources. To change the renewable energy curtailment rate; To change the previous renewable energy curtailment rate;

[0066] The following formula is used to calculate the increase in the amount of abandoned electricity and the overall power output coefficient required after changing the renewable energy curtailment rate:

[0067] In the formula To increase the amount of renewable energy power that has been wasted; For wind power generation; Photovoltaic power generation; In order to meet the increased demand for abandoned electricity, the comprehensive output coefficient of new energy sources; This refers to the data on the i-th renewable energy source's abandoned electricity; where the first... The calculation formula is for analyzing the increase in abandoned electricity required under the condition of changes in the overall renewable energy utilization rate. It is also the incremental renewable energy abandoned electricity obtained by solving for the total change in renewable energy utilization rate and the total renewable energy power generation. This is a calculation formula constructed from an overall perspective; the second one... The calculation formula is the amount of abandoned electricity calculated by the change of the comprehensive simultaneity rate of new energy at each data point. It is based on the first formula and allocates the abandoned electricity to each data point. This is a calculation formula constructed from the individual perspective.

[0068] S6. Based on the data obtained in step S5, calculate the corresponding abandoned electricity and new energy output coefficient; specifically including the following steps:

[0069] Constructing a model for calculating abandoned electricity:

[0070] In the formula To increase the amount of wind power curtailment; To increase the amount of solar power curtailment; To increase the wind power curtailment rate after wind power curtailment; To increase the rate of solar power curtailment after solar power curtailment; The proportion of wind power curtailment and solar power curtailment in the increased curtailment volume; This represents the amount of abandoned power corresponding to the i-th wind power output data. This represents the amount of abandoned power corresponding to the i-th photovoltaic output data. The duration corresponding to the data;

[0071] Simultaneously set: If and If none of these conditions are met, then the amount of wind power curtailment will increase. The value is And the increased amount of abandoned photovoltaic power The value is ;

[0072] The new energy output coefficient is calculated using the following formula:

[0073] In the formula This is an array of wind power output coefficient values ​​after adding the amount of abandoned power; This refers to the wind power output coefficient corresponding to the i-th wind power output data after adding the amount of abandoned power; This is an array of photovoltaic power output coefficient values ​​after adding the amount of abandoned electricity; This refers to the photovoltaic output coefficient corresponding to the i-th wind power output data after adding the amount of abandoned power;

[0074] S7. Repeat steps S5-S6 to complete the analysis of the new energy output characteristics of the target provincial power grid;

[0075] In practical implementation, the analysis in step S7 allows for further analysis of how the increased curtailment under lower renewable energy utilization rates is distributed throughout the year, and the increase and proportion of wind and solar curtailment, based on actual renewable energy utilization rates and curtailment volume. It also allows for further analysis of the renewable energy output characteristics during months with the largest curtailment volumes, providing theoretical basis and relevant suggestions for renewable energy consumption and grid peak shaving during these periods.

[0076] The method of the present invention will be further described below with reference to an embodiment:

[0077] This study selects a provincial power grid as the research object. Based on the grid's full-year operation data in 2025, it focuses on the peak periods of renewable energy curtailment: March-June (high water season + peak renewable energy generation period) and September-November (low load + peak photovoltaic generation period). The study analyzes the renewable energy output characteristics and absorption capacity under different curtailment rate scenarios. The basic data are as follows:

[0078] 1) New energy installed capacity: Total wind power installed capacity Total installed photovoltaic capacity The installed capacity distribution across different time periods is consistent with the grid connection nodes, with no new installed capacity adjustments.

[0079] 2) Theoretical power generation: Theoretical wind power generation in 2025 Theoretical power generation of photovoltaics During periods of high power curtailment (March-June and September-November), wind power theoretically accounts for 63% of the annual power generation, while photovoltaic power theoretically accounts for 58%.

[0080] 3) Actual output data: Sampling intervals were set at 1 hour during periods of high power curtailment, and wind power output data were collected in total. Photovoltaic power output data (i=1,2,...,5112). There are 12 units (i=1,2,...,5112); the output data for some typical time periods are shown in Table 1 below:

[0081] 4) Initial curtailment rate: The initial renewable energy curtailment rate of this power grid in 2025. The initial curtailment rate of wind power Initial curtailment rate of photovoltaic power This satisfies the constraint that "the curtailment rates of wind power and photovoltaic power are basically the same";

[0082] Simulation scenario:

[0083] Based on the grid's renewable energy consumption targets and planning requirements, two scenarios for adjusting the curtailment rate are designed, as shown in Table 2 below:

[0084] Simulation calculation process and results:

[0085] Initial scene (Scene 2) calculation results

[0086] 1) Initial curtailment calculation: Initial wind power curtailment Initial solar power curtailment Initial total abandoned power ;

[0087] 2) Calculation of power output coefficient: Calculate the wind power output coefficient during periods of high curtailment. and photovoltaic output coefficient array The statistical characteristics are shown in Table 3 below:

[0088] 3) Calculation of overall output coefficient: Array of overall output coefficients The average value is 0.208, the maximum value is 0.649, and the minimum value is 0.014.

[0089] Scenario 1 (Power curtailment rate increases to 7%) calculation results:

[0090] 1) Changes in curtailment rate and newly added curtailed electricity volume: This indicates an increase in the amount of abandoned electricity; the total amount of abandoned electricity required to increase is... ;

[0091] 2) Allocation of Curtailed Power: The increased curtailed power will be allocated according to the proportion of the initial curtailment rate. Wind power will need to increase its curtailed power. Solar power needs to increase the amount of abandoned electricity. Verification of constraints: The newly added abandoned power is less than the theoretical power generation during the peak period of abandoned power, indicating that the allocation is effective;

[0092] 3) Calculation of new output coefficient: The adjusted wind power output coefficient array is calculated. The average value is 0.225, and the photovoltaic output coefficient array is... The average value is 0.106, and the overall output coefficient is... The average value was 0.199, representing a decrease of 0.8%, 1.8%, and 0.9% respectively compared to the baseline scenario.

[0093] Results analysis:

[0094] 1) Correlation between curtailment rate and power output coefficient: Simulation results show that the curtailment rate of new energy sources is negatively correlated with the power output coefficients of wind power and photovoltaic power, as well as the overall power output coefficient. When the curtailment rate increases by 2.4%, the average value of the overall power output coefficient decreases by 0.9%, indicating that the adjustment of the curtailment rate directly affects the effective utilization of new energy output, and increasing the curtailment rate significantly reduces the power output coefficient.

[0095] 2) Reasonableness of the allocation of abandoned power: The allocation of newly added abandoned power according to the initial abandoned power rate ratio can meet the operational constraint that "the abandoned power rates of wind power and photovoltaic power are basically the same", and the allocation results do not exceed the actual power generation boundary, which verifies the feasibility and effectiveness of the allocation method in the present invention.

[0096] 3) This embodiment verifies the accuracy and practicality of the mathematical analysis method proposed in this invention by simulating different curtailment rate scenarios of a provincial power grid. The solution of this invention can accurately quantify the intrinsic relationship between the change of curtailment rate and the output coefficient of new energy sources and the allocation of curtailed power, and can provide a scientific basis for power grid dispatch operation optimization (such as peak shaving resource allocation), planning decisions (such as the calculation of the capacity of new transmission channels) and the assessment of new energy absorption capacity.

[0097] like Figure 2The diagram shows the functional modules of the system of the present invention: The system disclosed in this invention for implementing the method for analyzing the renewable energy output characteristics of a provincial power grid includes a data acquisition module, a curtailment calculation module, a data confirmation module, a comprehensive calculation module, a secondary calculation module, a coefficient calculation module, and a characteristic analysis module; these modules are connected in series. The data acquisition module acquires data information of the target provincial power grid and uploads it to the curtailment calculation module. The curtailment calculation module calculates the renewable energy curtailment rate of the target provincial power grid based on the received and acquired data information and uploads the data information to the data confirmation module. The data confirmation module confirms the renewable energy curtailment rate of the target provincial power grid based on the received and acquired data information. The system identifies the month and time period of power curtailment, acquires corresponding wind and solar power output data, and uploads this data to the integrated calculation module. The integrated calculation module calculates the corresponding new energy output coefficient and overall output coefficient based on the received data and uploads this data to the secondary calculation module. The secondary calculation module adjusts the new energy curtailment rate based on the received data, recalculates the corresponding new energy curtailment amount and overall output coefficient, and uploads this data to the coefficient calculation module. The coefficient calculation module calculates the corresponding curtailment amount and new energy output coefficient based on the received data and uploads this data to the characteristic analysis module. The characteristic analysis module repeats the secondary calculation and coefficient calculation modules based on the received data to complete the new energy output characteristic analysis of the target provincial power grid.

Claims

1. A method for analyzing the output characteristics of new energy sources in a provincial power grid, comprising the following steps: S1. Obtain data information about the target provincial power grid; S2. Based on the data obtained in step S1, calculate the renewable energy curtailment rate of the target provincial power grid; S3. Based on the data obtained in step S1, confirm the month and time period of power curtailment in the target provincial power grid, and obtain the corresponding wind power and photovoltaic power output data; S4. Based on the data obtained in step S3, calculate the corresponding new energy output coefficient and comprehensive output coefficient; S5. Change the renewable energy curtailment rate and recalculate the corresponding renewable energy curtailment amount and comprehensive output coefficient; S6. Based on the data obtained in step S5, calculate the corresponding abandoned electricity and new energy output coefficient; S7. Repeat steps S5-S6 to complete the analysis of the new energy output characteristics of the target provincial power grid.

2. The method for analyzing the output characteristics of new energy sources in provincial power grids according to claim 1, characterized in that... Step S1, which involves obtaining data information of the target provincial power grid, specifically includes the following steps: Obtain data information about the target provincial power grid; The data information includes load data of the target provincial power grid, renewable energy curtailment data of the target provincial power grid, photovoltaic curtailment data of the target provincial power grid, wind power curtailment data of the target provincial power grid, photovoltaic power generation data of the target provincial power grid, and wind power generation data of the target provincial power grid.

3. The method for analyzing the output characteristics of new energy sources in provincial power grids according to claim 2, characterized in that... Step S2, which involves calculating the renewable energy curtailment rate of the target provincial power grid based on the data obtained in step S1, specifically includes the following steps: The renewable energy curtailment rate of the target provincial power grid is calculated using the following formula. : In the formula This refers to the amount of wind power curtailment. This refers to the amount of electricity wasted by photovoltaic power. This represents the theoretical power generation of wind power. This represents the theoretical power generation of photovoltaics.

4. The method for analyzing the output characteristics of new energy sources in provincial power grids according to claim 3, characterized in that... Step S3, which involves identifying the month and time period of power curtailment in the target provincial power grid based on the data obtained in step S1, and acquiring the corresponding wind power and photovoltaic output data, specifically includes the following steps: Based on the data obtained in step S1, confirm the month and time period of power curtailment in the target provincial power grid; Based on the confirmed months and periods of curtailment in the target provincial power grid, wind power output data for the corresponding months and periods are obtained. And photovoltaic power output data ,in For the i-th wind power output data, Let n be the i-th photovoltaic power output data, and n be the total number of data.

5. The method for analyzing the output characteristics of new energy sources in provincial power grids according to claim 4, characterized in that... Step S4, which involves calculating the corresponding new energy output coefficient and comprehensive output coefficient based on the data obtained in step S3, specifically includes the following steps: Based on the data obtained in step S3, the corresponding new energy output coefficient is calculated using the following formula: In the formula This is an array of wind power output coefficients corresponding to the wind power output data. The wind power output coefficient corresponding to the i-th wind power output data; This is an array of photovoltaic output coefficients corresponding to the photovoltaic output data. The photovoltaic output coefficient corresponding to the i-th photovoltaic output data; for The corresponding installed capacity of wind turbine units; for The corresponding installed capacity of photovoltaic units; The overall output coefficient is calculated using the following formula: In the formula This is a comprehensive output coefficient array; Let be the i-th comprehensive output coefficient.

6. The method for analyzing the output characteristics of new energy sources in a provincial power grid according to claim 5, characterized in that... Step S5, which involves changing the renewable energy curtailment rate and recalculating the corresponding renewable energy curtailment amount and overall power output coefficient, specifically includes the following steps: Change the curtailment rate of renewable energy; After setting and changing the renewable energy curtailment rate, all renewable energy curtailment occurs in the confirmed target provincial power grid months and time periods of curtailment. The change in the utilization rate of new energy sources is calculated using the following formula: In the formula This represents the change in the utilization rate of new energy sources. To change the renewable energy curtailment rate; To change the previous renewable energy curtailment rate; The following formula is used to calculate the increase in the amount of abandoned electricity and the overall power output coefficient required after changing the renewable energy curtailment rate: In the formula To increase the amount of renewable energy power that has been wasted; For wind power generation; Photovoltaic power generation; In order to meet the increased demand for abandoned electricity, the comprehensive output coefficient of new energy sources; This represents the data on the amount of electricity abandoned by the i-th renewable energy source.

7. The method for analyzing the output characteristics of new energy sources in provincial power grids according to claim 6, characterized in that... Step S6, which involves calculating the corresponding abandoned electricity and renewable energy output coefficient based on the data obtained in step S5, specifically includes the following steps: Constructing a model for calculating abandoned electricity: In the formula To increase the amount of wind power curtailment; To increase the amount of solar power curtailment; To increase the wind power curtailment rate after wind power curtailment; To increase the rate of solar power curtailment after solar power curtailment; The proportion of wind power curtailment and solar power curtailment in the increased curtailment volume; This represents the amount of abandoned power corresponding to the i-th wind power output data. This represents the amount of abandoned power corresponding to the i-th photovoltaic output data. The duration corresponding to the data; Simultaneously set: If and If none of these conditions are met, then the amount of wind power curtailment will increase. The value is And the increased amount of abandoned photovoltaic power The value is ; The new energy output coefficient is calculated using the following formula: In the formula This is an array of wind power output coefficient values ​​after adding the amount of abandoned power; This refers to the wind power output coefficient corresponding to the i-th wind power output data after adding the amount of abandoned power; This is an array of photovoltaic power output coefficient values ​​after adding the amount of abandoned electricity; The photovoltaic output coefficient is the corresponding value of the i-th wind power output data after adding the amount of abandoned power.

8. A system for implementing the provincial power grid new energy output characteristic analysis method according to any one of claims 1 to 7, characterized in that... It includes a data acquisition module, a power curtailment calculation module, a data confirmation module, a comprehensive calculation module, a secondary calculation module, a coefficient calculation module, and a characteristic analysis module; the data acquisition module, power curtailment calculation module, data confirmation module, comprehensive calculation module, secondary calculation module, coefficient calculation module, and characteristic analysis module are connected in series; the data acquisition module is used to acquire data information from the target provincial power grid and upload the data information to the power curtailment calculation module; The curtailment calculation module is used to calculate the renewable energy curtailment rate of the target provincial power grid based on the received data and the acquired data, and then upload the data to the data confirmation module. The data confirmation module is used to confirm the month and time period of power curtailment in the target provincial power grid based on the received data and the acquired data, and to obtain the corresponding wind power and photovoltaic power output data, and then upload the data information to the comprehensive calculation module. The comprehensive calculation module is used to calculate the corresponding new energy output coefficient and comprehensive output coefficient based on the received data information, and then upload the data information to the secondary calculation module. The secondary calculation module is used to change the renewable energy curtailment rate based on the received data information, recalculate the corresponding renewable energy curtailment amount and comprehensive output coefficient, and upload the data information to the coefficient calculation module. The coefficient calculation module is used to calculate the corresponding abandoned electricity and new energy output coefficients based on the received data information, and upload the data information to the characteristic analysis module; the characteristic analysis module is used to repeat the secondary calculation module and the coefficient calculation module based on the received data information to complete the new energy output characteristic analysis of the target provincial power grid.

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