Quantitative evaluation method for regulation capability adequacy of high-proportion new energy power system

Abstract

The invention relates to a quantitative evaluation method for regulation capability adequacy of a high-proportion new energy power system. The quantitative evaluation method comprises a time axis initialization module, a double-interval definition module, a first energy storage acquisition module, an evaluation point marking module, a second energy storage acquisition module, a third energy storage acquisition module and a total energy storage acquisition module. The evaluation module is used for carrying out adequacy quantitative evaluation by using the accumulated callable capacity at the evaluation time point; the method comprises the following steps: constructing a time axis taking a current time point as a reference, dividing a target interval and a non-target interval on the time axis, and combining difference analysis of a historical environment vector and a future environment vector to realize calculation of callable energy storage at the target time point; therefore, the adequacy adjustment capability of the power grid system can be evaluated at different time periods in terms of time precision. The method provided by the invention has the advantages of dividing the time axis interval, realizing callable energy storage calculation, evaluating the adjustment capability in different periods, establishing a supply and demand error correction strategy and improving the dynamic adaptability.

Description

Technical Field

[0001] The present invention belongs to the technical field of quantitative evaluation systems, and in particular relates to a method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion new energy power system. Background Art

[0002] As the proportion of renewable energy continues to rise, the operation of the power system faces greater uncertainty and regulation pressure. Under the traditional power grid structure dominated by centralized power sources, the system adapts to and regulates load fluctuations through frequency regulation and peak regulation of units. However, with the large-scale access of intermittent power sources such as wind power and photovoltaics, the volatility of both supply and demand has increased significantly, resulting in increasingly complex system regulation resource allocation and operation strategies. For example, the patent document with patent publication number CN118137453A discloses a quantitative assessment method and system for medium- and long-term supply regulation under multiple scenarios of supply and demand risks, which provides technical and platform support for the construction of new power systems and the improvement of the inherent safety of power grids. While improving power supply capacity and service levels, the overall carbon emission level of society can be reduced. Currently, the assessment of regulation capacity is mainly concentrated at the equipment level or static capacity level, and there is a lack of structured modeling methods for the dynamic evolution of the source-load environment. In particular, there is a lack of dynamic and quantitative assessment methods for the adequacy of regulation capacity at specific future time points or time periods, combining environmental evolution trends with supply and demand forecasts. Therefore, it is very necessary to provide a quantitative assessment method for the adequacy of regulation capacity of a high-proportion new energy power system that divides time axis intervals, realizes callable energy storage calculation, evaluates regulation capacity in different time periods, establishes supply and demand error correction strategies, and improves dynamic adaptability. Summary of the Invention

[0003] (1) Technical issues In view of the above-mentioned existing technical status, this application mainly addresses the following technical problems: 1. With the large-scale access to intermittent power sources, the volatility of both supply and demand has increased significantly, making system resource allocation and operation strategies increasingly complex; 2. Current assessments of regulation capabilities primarily focus on the equipment level or static capability level, lacking a structured modeling approach for the dynamic evolution of the source-load environment. 3. Currently, there is a lack of dynamic and quantitative methods for assessing the adequacy of regulatory capacity at specific future points or time periods, taking into account environmental evolution trends and supply and demand forecasts.

[0004] (2) Technical solution The purpose of the present invention is to overcome the shortcomings of the existing technology and provide a quantitative assessment method for the adequacy of the regulation capacity of a high-proportion new energy power system, which divides time axis intervals, realizes callable energy storage calculation, evaluates regulation capacity in time periods, establishes a supply and demand error correction strategy, and improves dynamic adaptability.

[0005] The object of the present invention is achieved by providing a method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion new energy power system, the method comprising the following steps: Step 1: Initialize the timeline spanning the current time point based on the timeline initialization module; Step 2: Use the dual interval definition module to define the non-target interval and target interval on the time axis; Step 3: Obtain the available energy storage in the target interval through the first energy storage acquisition module; Step 4: Use the evaluation point marking module to mark the evaluation time point in the target interval; Step 5: Calculate the available energy at the evaluation time point and the available energy in the non-target interval using the available energy in the target interval through the second energy storage acquisition module; Step 6: Obtain the available energy storage at the current time point through the third energy storage acquisition module; Step 7: Use the total energy storage acquisition module to sum the available energy storage at the current time point, non-target interval, and evaluation time point to obtain the cumulative available capacity at the evaluation time point; Step 8: Based on the evaluation module, the cumulative available capacity at the evaluation time point is used to quantitatively evaluate the sufficiency.

[0006] Furthermore, the dual-interval definition module defines the non-target interval and the target interval, specifically including the following steps: S21: Marking a first future time point and a second future time point on the future time axis; S22: defining a time period between the current time point and a first future time point as a non-target interval; and defining a time period between the first future time point and a second future time point as a target interval.

[0007] Furthermore, the first energy storage acquisition module acquires the available energy storage, specifically comprising the following steps: A1: Obtain the predicted power supply and power load at N target time points in the target interval; A2: Obtain the power supply error and power load error at N target time points in the target interval; A3: Sum the predicted power supply and the power supply error, and the predicted power load and the power load error, respectively, to obtain the actual power supply and the actual power load; A4: Calculate the difference between the actual power supply and the actual power load, and determine the theoretical margin at N target time points; A5: Sum the theoretical margins at N target time points to determine the total theoretical margin for the target interval. A6: Multiply the total theoretical reserve in the target range by the energy storage coefficient to obtain the available energy storage in the target range.

[0008] Furthermore, the step A1 is specifically as follows: A11: Mark N target time points in the target interval; A12: Using N target time points as time indexes, match N historical power supplies and historical power loads for the same period. A13: Define N historical power supplies and historical power loads as predicted power supplies and predicted power loads at N target time points in the target interval.

[0009] Furthermore, the step A2 is specifically as follows: A21: Obtain the future environment vector of the target interval; A22: Use the target interval as the time index and mark the historical time axis closest to the starting time point of the target interval on the time axis; A23: Get the historical environment vector of the historical time axis; A24: Calculate the environmental vector error between the future environmental vector and the historical environmental vector; A25: Calculate the power supply error and power load error at N target time points based on the environmental vector error.

[0010] Furthermore, the step A21 is specifically as follows: A211: At N target time points in the target interval, collect K different types of environmental parameters at each target time point; Specifically, for each environmental parameter of the same type, a total of N environmental parameters of the same type are obtained in the target interval.

[0011] A212: For environmental parameters of the same type, determining the mean environmental parameter corresponding to the environmental parameters of the same type; Specifically, after N environmental parameters of the same type are processed by mean, variance or standard deviation, the mean environmental parameters corresponding to the environmental parameters of the same type are obtained; for K environmental parameters of different types, after executing the above steps, K mean environmental parameters of different types will be obtained.

[0012] A213: For K different types of mean environmental parameters, standardize them separately to obtain K environmental features; It should be noted that different types of mean environmental parameters can be adapted to different standardization processing methods to eliminate the dimensional effects between different units.

[0013] A214: Perform feature fusion on the K environmental features to obtain a future environmental vector that can represent K different types of environmental parameters in the target interval.

[0014] Among them, feature fusion uses feature splicing / dimensionality reduction fusion / weighted averaging to combine K standardized environmental features to form the future environment vector of the target interval.

[0015] Furthermore, the second energy storage acquisition module calculates the available energy storage at the evaluation time point, specifically: B1: The duration between the evaluation time point and the start time point of the target interval is defined as the energy storage duration; B2: Get the target duration of the target interval; B3: Calculate the first duration ratio of the energy storage duration to the target duration; B4: Multiply the first duration ratio by the available energy storage in the target interval to obtain the available energy storage at the evaluation time point.

[0016] Furthermore, the second energy storage acquisition module calculates the available energy storage in the non-target interval, specifically: C1: Get the non-target duration of the non-target interval; C2: Calculate the second duration ratio of target duration to non-target duration; C3: Multiply the second duration ratio by the available energy storage in the target interval to obtain the available energy storage in the non-target interval.

[0017] Furthermore, the third energy storage acquisition module acquires the available energy storage, specifically comprising the following steps: S61: Obtaining the power supply and power load at the current time point; S62: Calculating the current supply and demand difference between the power supply and the power load at the current time point; S63: Multiply the current supply and demand difference by the energy storage coefficient to obtain the available energy storage at the current time point.

[0018] Furthermore, the evaluation steps of the evaluation module are: S81: Obtain the actual power load at the evaluation time point; S82: comparing the actual power load at the assessment time point with the adequacy error of the cumulative available capacity; S83: Determine the quantitative position of the adequacy error in the predefined adequacy quantitative index; S84: Determine the adequacy level according to the quantized position.

[0019] (3) Beneficial effects 1. This invention constructs a timeline based on the current time point, divides the timeline into target and non-target intervals, and combines it with differential analysis of historical and future environmental vectors to calculate the available energy storage at the target time point. This allows for a time-based assessment of the grid system's adequacy regulation capability. 2. This invention establishes a supply and demand error correction strategy driven by environmental changes by constructing a comparison between future environmental vectors and historical environmental vectors and combining vector differences with error percentages. Ultimately, it forms a quantifiable adjustment adequacy level determination mechanism, which improves the adaptability of the assessment process to environmental dynamics. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a structural block diagram of the present invention.

[0021] Figure 2 This is an evaluation flow chart of the present invention.

[0022] Figure 3 This is a flow chart for obtaining the callable stored energy in the target interval of the present invention. DETAILED DESCRIPTION

[0023] The present invention will be further illustrated and clearly and completely described below in conjunction with the embodiments and / or drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all 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. Example 1

[0024] like Figure 1-3 As shown, a method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion new energy power system is provided, the method comprising the following steps: Step 1: Initialize the timeline spanning the current time point based on the timeline initialization module; wherein the current time point is used as a dividing point to divide the timeline into a historical timeline and a future timeline; Step 2: Use the dual interval definition module to define the non-target interval and target interval on the time axis; In the present invention, the definition steps of the dual-interval definition module are: S2-1: Mark the first future time point and the second future time point on the future timeline; S2-2: define the time period between the current time point and the first future time point as a non-target interval; and define the time period between the first future time point and the second future time point as a target interval.

[0025] Step 3: Obtain the available energy storage in the target interval through the first energy storage acquisition module; In the present invention, the acquisition steps of the first energy storage acquisition module are: A1: Obtain the predicted power supply and power load at N target time points in the target interval; ① Specifically: A1-1: Mark N target time points in the target interval; A1-2: Using N target time points as time indexes, match N historical power supplies and historical power loads for the same period; A1-3: Define N historical power supplies and historical power loads as predicted power supplies and predicted power loads at N target time points in the target interval.

[0026] A2: Obtain the power supply error and power load error at N target time points in the target interval; ② Specifically: A2-1: Obtain the future environment vector of the target interval; Specifically: A2-1-1: At N target time points in the target interval, collect K different types of environmental parameters at each target time point; A2-1-2: For environmental parameters of the same type, determine the mean environmental parameter corresponding to the environmental parameters of the same type; A2-1-3: For K different types of mean environmental parameters, standardize them separately to obtain K environmental features; A2-1-4: Fuse K environmental features to obtain a future environmental vector that can represent K different types of environmental parameters in the target interval.

[0027] This embodiment constructs multidimensional environmental features at a unified scale by temporally aggregating and type-standardizing multi-type environmental parameters at multiple time points within the target interval. Furthermore, a feature fusion method is used to integrate various environmental features into a vectorized representation, thereby forming a structurally complete and highly comparable future environmental vector that is used to describe the overall environmental state of the target interval.

[0028] A2-2: Use the target interval as the time index and mark the historical time axis closest to the starting time point of the target interval on the time axis; A2-3: Get the historical environment vector of the historical time axis; A2-4: Calculate the environmental vector error between the future environmental vector and the historical environmental vector; A2-5: Calculate the power supply error and power load error at N target time points based on the environmental vector error; Taking the Euclidean norm of the environment vector error yields a single scalar value; percentage-taking this scalar value yields the error percentage.

[0029] A3: Sum the predicted power supply and the power supply error, and the predicted power load and the power load error, respectively, to obtain the actual power supply and the actual power load; A4: Calculate the difference between the actual power supply and the actual power load, and determine the theoretical margin at N target time points; A5: Sum the theoretical margins at N target time points to determine the total theoretical margin for the target interval. A6: Multiply the total theoretical reserve in the target range by the energy storage coefficient to obtain the available energy storage in the target range.

[0030] Step 4: Use the evaluation point marking module to mark the evaluation time point in the target interval; Step 5: Calculate the available energy at the evaluation time point and the available energy in the non-target interval using the available energy in the target interval through the second energy storage acquisition module; In the present invention, the calculation steps of the available energy storage at the evaluation time point are as follows: B1: The duration between the evaluation time point and the start time point of the target interval is defined as the energy storage duration; B2: Get the target duration of the target interval; B3: Calculate the first duration ratio of the energy storage duration to the target duration; B4: Multiply the first duration ratio by the available energy storage in the target interval to obtain the available energy storage at the evaluation time point.

[0031] ② The calculation steps for the available energy storage in the non-target interval are as follows: C1: Get the non-target duration of the non-target interval; C2: Calculate the second duration ratio of target duration to non-target duration; C3: Multiply the second duration ratio by the available energy storage in the target interval to obtain the available energy storage in the non-target interval.

[0032] Step 6: Obtain the available energy storage at the current time point through the third energy storage acquisition module; In the present invention, the acquisition steps of the third energy storage acquisition module are: S6-1: Obtaining the power supply and power load at the current time point; S6-2: Calculating the current supply and demand difference between the power supply and the power load at the current time point; S6-3: Multiply the current supply and demand difference by the energy storage coefficient to obtain the available energy storage at the current time point.

[0033] Step 7: Use the total energy storage acquisition module to sum the available energy storage at the current time point, non-target interval, and evaluation time point to obtain the cumulative available capacity at the evaluation time point; Step 8: Based on the evaluation module, the cumulative available capacity at the evaluation time point is used to quantitatively evaluate the sufficiency.

[0034] In the present invention, the evaluation steps of the evaluation module are: S8-1: Obtain the actual power load at the evaluation time point; S8-2: Compare the actual power load at the assessment time point with the adequacy error of the cumulative available capacity; S8-3: Determine the quantitative position of the adequacy error in the predefined adequacy quantitative index; S8-4: Determine the sufficiency level according to the quantized position.

[0035] The present invention is a quantitative assessment method for the adequacy of the regulation capacity of a high-proportion new energy power system. It solves corresponding technical problems by predicting supply and demand at future time points. In use, the present invention constructs a time axis based on the current time point and divides the target interval and non-target interval on the time axis. Combined with the difference analysis of historical environmental vectors and future environmental vectors, it realizes the calculation of the energy storage that can be called at the target time point, thereby being able to evaluate the adequacy regulation capacity of the power grid system in time periods with time accuracy; the present invention constructs a comparison between future environmental vectors and historical environmental vectors, adopts a combination of vector differences and error percentages, and establishes a supply and demand error correction strategy driven by environmental changes; ultimately, a quantifiable regulation adequacy level determination mechanism is formed, which improves the adaptability of the assessment process to environmental dynamics; the present invention has the advantages of dividing time axis intervals, realizing the calculation of callable energy storage, evaluating regulation capacity in time periods, establishing a supply and demand error correction strategy, and improving dynamic adaptability. Example 2

[0036] like Figure 1-3 As shown, a method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion new energy power system is provided, the method comprising the following steps: Step 1: Initialize the timeline spanning the current time point based on the timeline initialization module; wherein the current time point is used as a dividing point to divide the timeline into a historical timeline and a future timeline; Step 2: Use the dual interval definition module to define the non-target interval and target interval on the time axis; Step 3: Obtain the available energy storage in the target interval through the first energy storage acquisition module; Step 4: Use the evaluation point marking module to mark the evaluation time point in the target interval; Step 5: Calculate the available energy at the evaluation time point and the available energy in the non-target interval using the available energy in the target interval through the second energy storage acquisition module; Step 6: Obtain the available energy storage at the current time point through the third energy storage acquisition module; Step 7: Use the total energy storage acquisition module to sum the available energy storage at the current time point, non-target interval, and evaluation time point to obtain the cumulative available capacity at the evaluation time point; Step 8: Based on the evaluation module, the cumulative available capacity at the evaluation time point is used to quantitatively evaluate the sufficiency.

[0037] In the present invention, this embodiment completes the structural setting of the time range by initializing the timeline and dividing it into a historical timeline and a future timeline. By marking the non-target interval and the target interval, the boundaries of the evaluation scope are clarified. Furthermore, by calculating the available energy storage at the evaluation time point, the available energy storage in the non-target interval, and the available energy storage at the current time point, and summing the three, the cumulative available energy storage at the evaluation time point is obtained. Finally, based on this capacity, a quantitative assessment of the adequacy of the regulation capacity at the evaluation time point is completed.

[0038] Exemplarily, the definition steps of the dual-interval definition module are: S2-1: Mark the first future time point and the second future time point on the future timeline; S2-2: define the time period between the current time point and the first future time point as a non-target interval; and define the time period between the first future time point and the second future time point as a target interval.

[0039] Specifically, the first future time point is closer to the current time point, while the second future time point is farther away; that is, the non-target interval means: the intermediate buffer zone used to take over the currently available energy storage does not directly participate in the adequacy assessment, but will have an impact on the regulation capacity of the target interval; the target interval means: the core assessment time period for executing the quantitative assessment of the adequacy of regulation capacity, and the obtained supply and demand data and energy storage capacity are directly used to form the assessment results. Example 3

[0040] like Figure 1-3 As shown, a method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion new energy power system is provided, the method comprising the following steps: Step 1: Initialize the timeline spanning the current time point based on the timeline initialization module; wherein the current time point is used as a dividing point to divide the timeline into a historical timeline and a future timeline; Step 2: Use the dual interval definition module to define the non-target interval and target interval on the time axis; Step 3: Obtain the available energy storage in the target interval through the first energy storage acquisition module; Step 4: Use the evaluation point marking module to mark the evaluation time point in the target interval; Step 5: Calculate the available energy at the evaluation time point and the available energy in the non-target interval using the available energy in the target interval through the second energy storage acquisition module; Step 6: Obtain the available energy storage at the current time point through the third energy storage acquisition module; Step 7: Use the total energy storage acquisition module to sum the available energy storage at the current time point, non-target interval, and evaluation time point to obtain the cumulative available capacity at the evaluation time point; Step 8: Based on the evaluation module, the cumulative available capacity at the evaluation time point is used to quantitatively evaluate the sufficiency.

[0041] The technical solution of this embodiment differs from that of Embodiment 2 in that the specific energy storage steps of the first energy storage module, the second energy storage module, and the third energy storage module are disclosed, which are as follows: ① The first energy storage acquisition module acquires the callable energy storage, specifically: A1: Obtain the predicted power supply and power load at N target time points in the target interval; Specifically: including: A1-1: marking N target time points in the target interval; A1-2: Using N target time points as time indexes, match N historical power supplies and historical power loads for the same period; A1-3: Define N historical power supplies and historical power loads as predicted power supplies and predicted power loads at N target time points in the target interval.

[0042] This embodiment marks multiple target time points within the target interval and uses them as indexes to extract supply and demand data for the same period in history, thereby establishing predicted power supply and predicted power load at the target time points, thereby achieving the generation of supply and demand forecast results based on historical data.

[0043] A2: Obtain the power supply error and power load error at N target time points in the target interval; Specifically, it includes: A2-1: obtaining the future environment vector of the target interval; A2-2: Use the target interval as the time index and mark the historical time axis closest to the starting time point of the target interval on the time axis; A2-3: Get the historical environment vector of the historical time axis; Specifically, the calculation method of the historical environmental vector is the same as that of the future environmental vector; the difference is that the environmental parameters in the future environmental vector are predicted from other authoritative departments, such as weather, calendar characteristics (holidays, weekends), etc.; while the historical environmental parameters are directly extracted from the existing database, that is, the historical environmental vector is represented by the environmental feature vector of the historical time axis.

[0044] A2-4: Calculate the environmental vector error between the future environmental vector and the historical environmental vector; Specifically, the environmental vector error is equal to the vector error between the environmental feature vector of the target interval and the environmental feature vector of the historical time axis; the vector error is the vector difference after subtracting the corresponding positions of the future environmental vector and the historical environmental vector.

[0045] A2-5: Calculate the power supply error and power load error at N target time points based on the environmental vector error; Take the Euclidean norm of the environmental vector error to obtain a single scalar value; after dividing the scalar value by a percentage, the error percentage is obtained; the error percentage is multiplied by the power supply at the same historical time point, and the value is defined as the power supply error. Similarly, the error percentage is multiplied by the power load at the same historical time point, and the value is defined as the power load error.

[0046] In summary, this embodiment extracts the future environmental vector of the target interval and the historical environmental vector of the historical time axis, and calculates the dimension-by-dimension difference between the two to form an environmental vector error vector; further, the error vector is scalarized using the Euclidean norm to measure the degree of overall environmental change; the adopted Euclidean norm can integrate the deviation size of each environmental dimension and reflect the overall "distance" of the environmental vector, so it is suitable as a quantitative indicator of environmental change; then, the scalarized error is converted into a percentage as a response coefficient of the supply and demand deviation, and is applied to the historical power supply and power load respectively to obtain the power supply error and power load error; the operation logic is based on the assumption that under the premise that supply and demand are relevant to the environment, the degree of overall environmental change will proportionally affect the actual supply and load performance in the future; therefore, based on historical supply and demand and adjusted according to the environmental difference ratio, an error estimate with explanatory and adaptive properties can be constructed.

[0047] A3: Sum the predicted power supply and the power supply error, and the predicted power load and the power load error, respectively, to obtain the actual power supply and the actual power load; A4: Calculate the difference between the actual power supply and the actual power load, and determine the theoretical margin at N target time points; A5: Sum the theoretical margins at N target time points to determine the total theoretical margin for the target interval. A6: Multiply the total theoretical reserve in the target range by the energy storage coefficient to obtain the available energy storage in the target range.

[0048] This embodiment obtains true supply and demand data by performing error correction on the predicted power supply and power load at multiple target time points within the target interval. The theoretical margin at each time point is obtained by calculating the supply and demand difference, and the energy storage coefficient is introduced after summing the theoretical margins to complete the calculation of the available energy storage in the target interval.

[0049] ②The second energy storage acquisition module calculates the available energy storage at the evaluation time point, specifically: B1: The duration between the evaluation time point and the start time point of the target interval is defined as the energy storage duration; B2: Get the target duration of the target interval; B3: Calculate the first duration ratio of the energy storage duration to the target duration; B4: Multiply the first duration ratio by the available energy storage in the target interval to obtain the available energy storage at the evaluation time point.

[0050] In this embodiment, the available energy storage is distributed proportionally over time within the target interval. This means that the proportion of available energy storage at each moment in the target interval is consistent with the proportion of the duration of that moment relative to the start time point of the target interval. In other words, the available energy storage is linearly and evenly distributed over time to each evaluation time point in the target interval.

[0051] This embodiment determines the available energy storage value at the evaluation time point by calculating the ratio of the duration between the evaluation time point and the start time point of the target interval to the total duration of the entire target interval, and allocating the available energy storage in the target interval in equal proportion accordingly.

[0052] The second energy storage acquisition module calculates the available energy storage in the non-target interval, specifically: C1: Get the non-target duration of the non-target interval; C2: Calculate the second duration ratio of target duration to non-target duration; C3: Multiply the second duration ratio by the available energy storage in the target interval to obtain the available energy storage in the non-target interval.

[0053] This embodiment calculates the duration of the non-target interval and compares it with the total duration of the target interval. This ratio is used as a proportional factor to allocate the available energy storage in the target interval, thereby inferring the available energy storage value in the non-target interval. This method, based on the proportional time allocation strategy, realizes the conversion of energy storage capacity between different time periods.

[0054] ③ The third energy storage acquisition module acquires the available energy storage, specifically: S61: Obtaining the power supply and power load at the current time point; It should be noted that the current electricity supply not only includes real-time power generation output, but also includes the available energy storage accumulated in the historical timeline.

[0055] S62: Calculating the current supply and demand difference between the power supply and the power load at the current time point; S63: Multiply the current supply and demand difference by the energy storage coefficient to obtain the available energy storage at the current time point.

[0056] The energy storage coefficient is a proportional coefficient pre-set by the regulation resource performance or operation strategy, indicating the effective ratio of the unit theoretical reserve that can be stored and converted into future call capacity; specifically, the adjustable energy storage at the current time point is stored at the starting time point of the future rated time period.

[0057] This embodiment obtains the current point in time's power supply and power load, calculates the difference between supply and demand, and combines this with the energy storage situation over the historical timeline to determine the theoretical remaining capacity at the current point in time. Furthermore, this difference is converted using the energy storage coefficient to derive the currently available energy storage, which can be stored for future use.

[0058] ④The evaluation steps of the evaluation module are: S81: Obtain the actual power load at the evaluation time point; S82: comparing the actual power load at the assessment time point with the adequacy error of the cumulative available capacity; S83: Determine the quantitative position of the adequacy error in the predefined adequacy quantitative index; S84: Determine the adequacy level according to the quantized position.

[0059] This embodiment compares the cumulative available capacity at the evaluation time point with the actual power load at that time point, calculates the difference and defines it as the adequacy error. This error value is then matched with a pre-set adequacy quantitative index to determine the position of the error in the index system. Based on the interval in which the error is located, it is mapped to different adequacy level labels.

[0060] Specifically, the adequacy level assessment can adopt a tiered threshold judgment method. For example, the situation where the adequacy error is greater than or equal to 0 is defined as "completely sufficient"; the situation where the error is between 0 and -10% is defined as "basic sufficient"; the situation where the error is between -10% and -30% is defined as "critically insufficient"; and the situation where the error is less than -30% is defined as "severely insufficient".

[0061] In summary, the present invention clarifies the time structure on which the regulation capacity evaluation depends by constructing a time axis based on the current time point and dividing the target interval and non-target interval on the time axis; based on the structure, multiple target evaluation time points are marked in the target interval, and by comparing the difference between the historical environmental vector and the future environmental vector, the correction value of the environmental change on the supply and demand forecast result is determined; furthermore, on the basis of the steps of supply and demand forecasting, error correction, theoretical margin calculation and energy storage coefficient conversion, the available energy storage at each target time point is obtained; by aggregating and summing the energy storage information with the energy storage in the non-target interval and the energy storage at the current time point, the cumulative available capacity at the target evaluation time point is formed, thereby realizing a quantitative evaluation of the regulation capacity of the power grid system by time period and time point, and having higher time accuracy and resource response expression capability.

[0062] Furthermore, the present invention constructs a comparison mechanism between future environmental vectors and historical environmental vectors, calculates the overall environmental vector error based on the difference in each dimension of the vector, and uses the Euclidean norm to measure the difference as a unified scalar representation; then, the environmental change amplitude is mapped to the supply and demand offset in the form of error percentage, and the power supply and power load forecast results at each target time point in the target interval are corrected respectively, thereby establishing a supply and demand error correction strategy driven by environmental changes; finally, by constructing a comparative relationship between the cumulative available capacity and the target load, and combining it with a predefined adequacy level indicator system, a quantitative judgment of whether the regulation capacity at the target time point is sufficient is achieved, so that the adequacy assessment has environmental responsiveness and output level resolution capabilities. Example 4

[0063] The present invention also discloses an electronic device and a storage medium used in the system of the present invention, which are specifically as follows: The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product, which includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired method (e.g., infrared, wireless, microwave, etc.).

[0064] The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that contains one or more available media. The available medium can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0065] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not performed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0066] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A quantitative assessment method for the adequacy of regulation capacity of a high-proportion renewable energy power system, characterized by: The method comprises the following steps: Step 1: Initialize the timeline spanning the current time point based on the timeline initialization module; Step 2: Use the dual interval definition module to define the non-target interval and target interval on the time axis; Step 3: Obtain the available energy storage in the target interval through the first energy storage acquisition module; Step 4: Use the evaluation point marking module to mark the evaluation time point in the target interval; Step 5: Calculate the available energy at the evaluation time point and the available energy in the non-target interval using the available energy in the target interval through the second energy storage acquisition module; Step 6: Obtain the available energy storage at the current time point through the third energy storage acquisition module; Step 7: Use the total energy storage acquisition module to sum the available energy storage at the current time point, non-target interval, and evaluation time point to obtain the cumulative available capacity at the evaluation time point; Step 8: Based on the evaluation module, the cumulative available capacity at the evaluation time point is used to quantitatively evaluate the sufficiency.

2. The method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion renewable energy power system according to claim 1, characterized in that: The dual-interval definition module defines the non-target interval and the target interval, specifically including the following steps: S21: Marking a first future time point and a second future time point on the future time axis; S22: defining a time period between the current time point and a first future time point as a non-target interval; and defining a time period between the first future time point and a second future time point as a target interval.

3. The method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion renewable energy power system according to claim 1, characterized in that: The first energy storage acquisition module acquires the available energy storage, specifically comprising the following steps: A1: Obtain the predicted power supply and power load at N target time points in the target interval; A2: Obtain the power supply error and power load error at N target time points in the target interval; A3: Sum the predicted power supply and the power supply error, and the predicted power load and the power load error, respectively, to obtain the actual power supply and the actual power load; A4: Calculate the difference between the actual power supply and the actual power load, and determine the theoretical margin at N target time points; A5: Sum the theoretical margins at N target time points to determine the total theoretical margin for the target interval. A6: Multiply the total theoretical reserve in the target range by the energy storage coefficient to obtain the available energy storage in the target range.

4. The method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion renewable energy power system according to claim 3, characterized in that: The step A1 is specifically as follows: A11: Mark N target time points in the target interval; A12: Using N target time points as time indexes, match N historical power supplies and historical power loads for the same period. A13: Define N historical power supplies and historical power loads as predicted power supplies and predicted power loads at N target time points in the target interval.

5. The method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion renewable energy power system according to claim 3, characterized in that: The step A2 is specifically as follows: A21: Obtain the future environment vector of the target interval; A22: Use the target interval as the time index and mark the historical time axis closest to the starting time point of the target interval on the time axis; A23: Get the historical environment vector of the historical time axis; A24: Calculate the environmental vector error between the future environmental vector and the historical environmental vector; A25: Calculate the power supply error and power load error at N target time points based on the environmental vector error.

6. The method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion renewable energy power system according to claim 5, characterized in that: The step A21 is specifically as follows: A211: At N target time points in the target interval, collect K different types of environmental parameters at each target time point; A212: For environmental parameters of the same type, determining the mean environmental parameter corresponding to the environmental parameters of the same type; A213: For K different types of mean environmental parameters, standardize them separately to obtain K environmental features; A214: Perform feature fusion on the K environmental features to obtain a future environmental vector that can represent K different types of environmental parameters in the target interval.

7. The method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion renewable energy power system according to claim 1, characterized in that: The second energy storage acquisition module calculates the available energy storage at the evaluation time point, specifically: B1: The duration between the evaluation time point and the start time point of the target interval is defined as the energy storage duration; B2: Get the target duration of the target interval; B3: Calculate the first duration ratio of the energy storage duration to the target duration; B4: Multiply the first duration ratio by the available energy storage in the target interval to obtain the available energy storage at the evaluation time point.

8. The method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion renewable energy power system according to claim 7, characterized in that: The second energy storage acquisition module calculates the available energy storage in the non-target interval, specifically: C1: Get the non-target duration of the non-target interval; C2: Calculate the second duration ratio of target duration to non-target duration; C3: Multiply the second duration ratio by the available energy storage in the target interval to obtain the available energy storage in the non-target interval.

9. The method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion renewable energy power system according to claim 1, characterized in that: The third energy storage acquisition module acquires the available energy storage, specifically comprising the following steps: S61: Obtaining the power supply and power load at the current time point; S62: Calculating the current supply and demand difference between the power supply and the power load at the current time point; S63: Multiply the current supply and demand difference by the energy storage coefficient to obtain the available energy storage at the current time point.

10. The method for quantitatively evaluating the adequacy of regulation capacity of a high-proportion renewable energy power system according to claim 1, characterized in that: The evaluation steps of the evaluation module are: S81: Obtain the actual power load at the evaluation time point; S82: comparing the actual power load at the assessment time point with the adequacy error of the cumulative available capacity; S83: Determine the quantitative position of the adequacy error in the predefined adequacy quantitative index; S84: Determine the adequacy level according to the quantized position.

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