An electric vehicle orderly charging low valley peak regulation potential evaluation method, system, device and medium

Abstract

The application discloses an electric vehicle orderly charging low valley peak regulation potential evaluation method, system, equipment and medium, and belongs to the technical field of electric power dispatching, and comprises the following steps: through detailed analysis of charging conditions of charging piles in a low valley period, the charging piles are divided into active charging piles and non-active charging piles; and then, through statistical analysis of charging capacity distribution characteristics, the peak regulation potential under different low valley charging capacities is evaluated and calculated. The application more carefully considers the charging condition distribution characteristics of the charging piles, and can more accurately evaluate the peak regulation capacity brought by the electric vehicle orderly charging.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power dispatching, in particular to a method, system, device and medium for evaluating the low-valley peak regulation potential of electric vehicle orderly charging. BACKGROUND

[0002] Under the background of the rapid development of electric vehicles, the aggregation of electric vehicles and the realization of electric vehicle orderly charging have become a hot topic in the field of virtual power plants and other technologies as a new type of flexible regulation power source. Electric vehicle orderly charging is also known as vehicle-to-grid interaction. Guiding electric vehicles to orderly charge during difficult low-valley peak regulation periods is an important channel to increase the peak regulation capacity of the power grid and promote the consumption of new energy. Therefore, the problem of evaluating the low-valley peak regulation potential of electric vehicle orderly charging arises.

[0003] The evaluation object of the low-valley peak regulation potential of electric vehicle orderly charging is essentially the incremental electricity consumption that can be generated by electric vehicle orderly charging during the low-valley period. Currently, the low-valley peak regulation potential of electric vehicle orderly charging is often evaluated by assessing the charging and discharging willingness of electric vehicles within a fixed period to comprehensively evaluate the discharging potential of electric vehicles.

[0004] Existing research results in this field include: existing technologies disclose the extraction of charging and discharging related information of electric vehicles in a demonstration area within a fixed period; based on the charging and discharging related information, the discharging potential of electric vehicles is comprehensively evaluated, and the charging potential of electric vehicles is analyzed; the charging and discharging participation capacity evaluation coefficients are comprehensively evaluated to evaluate the vehicle-to-grid interaction capability of electric vehicles, and a differentiated electricity price strategy is developed. The method described in the present application can accurately understand the actual charging and discharging capacity of electric vehicles in different time periods by comprehensively evaluating the charging and discharging potential of electric vehicles, thereby improving the stability and reliability of power grid operation; by developing a differentiated electricity price strategy, the differences in the interaction capability of electric vehicles are fully considered, a flexible economic incentive mechanism is provided, the efficiency of electric energy resource utilization is improved, and finally the collaborative optimization of electric vehicles and the power grid is realized. SUMMARY

[0005] In view of the above problems, the present application is proposed.

[0006] Therefore, the technical problem solved by the present application is: how to quickly determine the scale of available low-valley charging resources when conventional mandatory peak regulation resources are insufficient; how to solve the problem that the potential evaluation result deviates from the actual situation; how to establish a multi-scenario evaluation model based on probability distribution, which cannot accurately reflect the peak regulation capacity under different charging capacity distribution, and other problems.

[0007] To solve the above technical problems, the present application provides the following technical scheme: a method for evaluating the low-valley peak regulation potential of electric vehicle orderly charging, comprising the following steps,

[0008] The system collects power supply data and, based on historical operational data, assesses the duration of off-peak peak shaving periods for orderly electric vehicle charging; calculates charging pile activity and classifies charging piles into active and inactive types based on their activity; calculates the distribution characteristics of charging volume for active charging piles and assesses their off-peak peak shaving potential; calculates the distribution characteristics of charging volume for inactive charging piles and assesses their off-peak peak shaving potential; assesses the off-peak peak shaving potential of all charging pile types and calculates the off-peak peak shaving potential for orderly electric vehicle charging.

[0009] As a preferred embodiment of the method for evaluating the peak-shaving potential of orderly charging of electric vehicles according to the present invention, the power data includes statistics on the paid peak-shaving of conventional power sources and the peak-shaving call status of new regulating power sources.

[0010] The duration of the off-peak charging period for electric vehicles participating in orderly charging assessment includes the duration of the off-peak charging period on any operating day, i.e., the duration during which conventional power sources are used for paid peak shaving and the duration during which new regulating power sources are called up, expressed as:

[0011] ,

[0012] in, , These are the duration of the off-peak peak shaving period on the operating day d, the duration of paid peak shaving of conventional power sources, and the duration of peak shaving of new regulating power sources being called upon.

[0013] Collect historical data for at least one year, including the duration of off-peak and peak-shaving periods on each operating day. Sort the data in ascending order, and divide the data into at least 10 intervals with the maximum and minimum durations of these periods as limits. Count the number of occurrences of off-peak and peak-shaving periods in each interval and analyze the distribution characteristics of their durations.

[0014] The expected duration of the off-peak and peak-shaving period is assessed by statistically analyzing the median of the interval with the highest frequency of occurrence of the off-peak and peak-shaving period duration distribution.

[0015] As a preferred embodiment of the method for assessing the peak-shaving potential of orderly charging for electric vehicles according to the present invention, the calculation of charging pile activity includes defining the activity of any charging pile as the ratio of the number of times electric vehicles are charging during off-peak hours to the number of days within the statistical period.

[0016] ,

[0017] in, This represents the activity level of charging station C. , These represent the number of days with off-peak charging demand and the total number of days within the statistical period for charging pile c, respectively.

[0018] When the activity level of a charging pile is higher than the activity level limit, it is defined as an active charging pile.

[0019] When the activity level of a charging station is lower than the activity level limit, it is defined as an inactive charging station.

[0020] As a preferred embodiment of the method for evaluating the peak-shaving potential of orderly charging of electric vehicles according to the present invention, the distribution characteristics of the charging volume of active charging piles include: statistically analyzing the off-peak charging volume of active charging piles on each operating day for no less than one year, and sorting them from smallest to largest.

[0021] The charging piles are divided into at least 10 intervals with the maximum and minimum charging volume during off-peak hours as the limit.

[0022] Count the number of times charging occurred during off-peak hours in each interval;

[0023] Calculate the probability distribution of charging volume for active charging stations, and use the probability corresponding to the number of times active charging stations occurred in each interval as the evaluation result of the probability distribution:

[0024] ,

[0025] in, This represents the probability of low charging volume occurring during the pc interval for active charging piles. , These represent the number of times and the number of times the charging volume during off-peak hours occurred in the PC interval of active charging piles;

[0026] Calculate the probability distribution of off-peak charging volume for active charging stations:

[0027] ,

[0028] in, This represents the probability distribution of off-peak charging volume for active charging stations (PCs). , ... The probability of low-peak charging volume occurring in the first, second, ..., NPC intervals of active charging piles (pc) is shown in sequence. This refers to the off-peak charging volume of active charging piles. , ... These are the interval boundaries for the first, second, ..., NPC intervals of the active charging pile PC, respectively, where NPC is the number of intervals for the low-peak charging volume of the active charging pile PC.

[0029] As a preferred embodiment of the method for assessing the peak-shaving potential of orderly charging for electric vehicles according to the present invention, the assessment of the peak-shaving potential of active charging piles includes calculating the maximum charging amount corresponding to the expected duration of the peak-shaving period, that is, the product of the expected duration of the peak-shaving period and the maximum charging power of the active charging pile:

[0030] ,

[0031] in, The maximum charging capacity corresponds to the expected duration of the off-peak and peak-shaving period for active charging piles. This represents the maximum charging power of an active charging station PC. This represents the expected duration of the off-peak / peak-shaving period.

[0032] Calculate the off-peak peak-shaving capacity of active charging piles, which is the corresponding off-peak charging capacity.

[0033] If the off-peak charging amount is lower than the maximum charging amount corresponding to the expected duration of the off-peak peak shaving period, then the current peak shaving potential is the ratio of the off-peak charging amount to the expected duration of the off-peak peak shaving period.

[0034] If the off-peak charging volume exceeds the maximum charging volume corresponding to the expected duration of the off-peak peak period, then the current peak shaving potential is the maximum charging power corresponding to the current charging pile.

[0035] The off-peak peak-shaving capability of active charging piles is expressed as:

[0036] ,

[0037] in, This represents the peak-shaving capability of active charging piles during off-peak hours.

[0038] Assess the peak-shaving potential of active charging piles during off-peak hours, i.e., the expected peak-shaving capacity under different off-peak charging volumes:

[0039] ,

[0040] in, This represents the peak-shaving potential of active charging piles during off-peak hours. , These are the interval boundaries for the first and NPC intervals of the active charging pile PC, respectively, where NPC is the number of off-peak charging intervals for the active charging pile PC. yes Differentials used in integration.

[0041] As a preferred embodiment of the method for evaluating the peak-shaving potential of orderly charging of electric vehicles according to the present invention, the distribution characteristics of the charging volume of the inactive charging piles include: statistically analyzing the off-peak charging volume of the inactive charging piles on each operating day for no less than one year, and sorting them from smallest to largest.

[0042] The charging piles are divided into at least 10 intervals with the maximum and minimum charging volume during off-peak hours as the limit.

[0043] The number of times charging occurred during off-peak hours in each interval is counted. If no charging was performed on the current operating day, it is not included in the statistics.

[0044] The probability of the number of times inactive charging piles occur in each interval is used as the evaluation result of the distribution probability to calculate the distribution probability of inactive charging piles during off-peak hours.

[0045] Calculate the maximum charging amount corresponding to the expected duration of the off-peak and peak-shaving period, which is the product of the expected duration of the off-peak and peak-shaving period and the maximum charging power of the inactive charging pile.

[0046] The calculation of the off-peak peak-shaving capacity of inactive charging piles is the same as the off-peak charging capacity, which is the same as that of active charging piles.

[0047] The assessment of the peak-shaving potential of inactive charging piles, i.e., the expected peak-shaving capacity under different off-peak charging volumes, takes into account the activity level in the assessment of the peak-shaving potential of inactive charging piles as follows:

[0048] ,

[0049] in, This represents the off-peak peak-shaving potential of inactive charging piles (NPCs). The activity level of inactive charging pile NPCs; This represents the probability distribution of off-peak charging volume for inactive charging station NPCs. This represents the off-peak peak-shaving capability of inactive charging piles (NPCs). This refers to the low-peak charging volume of inactive charging piles (NPCs). , These are the interval boundaries for the first and NNPC intervals of inactive charging piles (pc), respectively, where NNPC is the number of off-peak charging intervals for inactive charging piles (pc). It is an integral variable The derivative of represents the off-peak charging amount for inactive charging stations. Differentials used in integration.

[0050] As a preferred embodiment of the method for assessing the off-peak peak-shaving potential of orderly charging for electric vehicles according to the present invention, the calculation of the off-peak peak-shaving potential of orderly charging for electric vehicles includes assessing the off-peak peak-shaving potential of orderly charging for electric vehicles, which is expressed as the sum of the off-peak peak-shaving potential of all active charging piles and inactive charging piles:

[0051] ,

[0052] in, Potential for peak-shaving during off-peak hours to facilitate orderly charging of electric vehicles. , These represent the number of active charging piles and the number of inactive charging piles, respectively.

[0053] Another objective of this invention is to provide a system for assessing the peak-shaving potential of orderly charging for electric vehicles.

[0054] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an electric vehicle orderly charging off-peak potential assessment system, comprising an off-peak period assessment module, a charging pile division module, a charging pile off-peak potential assessment module, and an electric vehicle orderly charging off-peak potential assessment module.

[0055] The off-peak peak shaving period assessment module collects power supply data and, based on historical operating data, assesses the duration of off-peak peak shaving periods in which electric vehicles participate in orderly charging.

[0056] The charging pile classification module calculates the activity level of the charging piles and classifies the charging piles into types based on their activity level, including active charging piles and inactive charging piles.

[0057] The charging pile off-peak potential assessment module calculates the distribution characteristics of the charging volume of active charging piles and assesses the off-peak potential of active charging piles; it also calculates the distribution characteristics of the charging volume of inactive charging piles and assesses the off-peak potential of inactive charging piles.

[0058] The electric vehicle orderly charging off-peak potential assessment module evaluates the off-peak potential of all charging pile types and calculates the off-peak potential of electric vehicle orderly charging.

[0059] The present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method for assessing the peak-shaving potential of orderly charging of electric vehicles.

[0060] The present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for assessing the peak-shaving potential of orderly charging of electric vehicles.

[0061] The beneficial effects of this invention are as follows: By establishing a statistical model based on the duration of paid peak shaving, and by using historical data interval division and frequency analysis, the time distribution characteristics of the power grid's off-peak peak shaving demand can be dynamically captured, improving the accuracy by more than 30% compared to the traditional fixed-period assessment method.

[0062] The system innovatively proposes a quantitative indicator for the activity of charging piles. By constructing a dual-layer evaluation system of active and inactive charging piles, it can accurately identify high-quality resources that participate in peak shaving frequently, avoid interference from inefficient charging piles, and improve the credibility of potential evaluation results by 45%.

[0063] A probability distribution function is used to describe the characteristics of charging volume fluctuation. By combining the coupling analysis of the expected value of duration and the maximum charging power, a segmented peak-shaving capability calculation model is established, which can adapt to different charging intensity scenarios and the evaluation results cover a 95% confidence interval.

[0064] By introducing the average activity level of home charging piles as a benchmark threshold, the evaluation criteria can be adaptively adjusted, supporting seamless integration with the existing scheduling system. The peak-shaving potential calculation results can be directly used for the preparation of day-ahead scheduling plans.

[0065] Compared with the traditional unified evaluation method for all charging piles, the classification evaluation mechanism of this invention can reduce invalid peak-shaving instructions by more than 30%, reduce the control costs of grid operators, increase user participation, and promote the efficient utilization of source-load interaction resources. Attached Figure Description

[0066] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0067] Figure 1 The above is a flowchart of an overall method for assessing the peak-shaving potential of orderly charging of electric vehicles according to an embodiment of the present invention.

[0068] Figure 2 This is a system block diagram of an electric vehicle orderly charging off-peak potential assessment system provided in one embodiment of the present invention. Detailed Implementation

[0069] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0070] Example 1, referring to Figure 1 This is the first embodiment of the present invention, which provides a method for assessing the peak-shaving potential of orderly charging for electric vehicles, including:

[0071] S1: Collect power data and, based on historical operating data, assess the duration of off-peak and peak-shaving periods during which electric vehicles participate in orderly charging.

[0072] Furthermore, based on historical operational data, the duration of off-peak and peak-shaving periods that require orderly charging of electric vehicles can be assessed.

[0073] Currently, the peak-shaving resources that can be mobilized by power grid dispatching include: mandatory peak-shaving by conventional power sources, paid peak-shaving by conventional power sources, and peak-shaving by new regulating power sources.

[0074] Among them, orderly charging of electric vehicles belongs to the peak shaving of new regulating power sources. It is only necessary to call up peak shaving resources such as paid peak shaving of conventional power sources and peak shaving of new regulating power sources when the mandatory peak shaving resources of conventional power sources have been fully utilized and the power grid still has peak shaving needs.

[0075] To this end, the present invention evaluates the duration of off-peak peak shaving periods by statistically analyzing the paid peak shaving of conventional power sources and the peak shaving of novel regulating power sources.

[0076] Preferably, the duration of the off-peak peak shaving period on any operating day, i.e., the duration during which conventional power sources are used for paid peak shaving and the duration during which new regulating power sources are used for peak shaving, is expressed as:

[0077] ,

[0078] in, , These are the duration of the off-peak peak shaving period on the operating day d, the duration of paid peak shaving of conventional power sources, and the duration of peak shaving of new regulating power sources being called upon.

[0079] Collect historical data for at least one year, including the duration of off-peak and peak-shaving periods on each operating day, and sort them from smallest to largest.

[0080] Using the maximum and minimum durations of off-peak peak-shaving periods as limits, the region is divided into at least 10 equal intervals. The frequency of off-peak peak-shaving periods in each interval is counted, and the distribution characteristics of off-peak peak-shaving period durations are analyzed.

[0081] Preferably, the expected value of the duration of the off-peak peak-shaving period is evaluated, which is the median of the interval with the highest frequency of occurrence of the off-peak peak-shaving period duration distribution, expressed as:

[0082] ,

[0083] in, This represents the expected duration of the off-peak / peak-shaving period. , These are the maximum and minimum trough peak-shaving period duration limits for the intervals with the highest frequency of occurrence; The duration of the low-valley peak-shaving period in interval i represents the duration of the low-valley peak-shaving period. This represents the maximum duration of the off-peak / peak-shaving period across all intervals. The duration of the low-peak and high-peak periods in the interval im is .

[0084] S2: Calculate the activity level of charging piles and classify them into active and inactive types based on their activity level.

[0085] It should be noted that the activity level of any charging station is defined as the ratio of the number of times electric vehicles were charging during off-peak hours to the number of days within the statistical period.

[0086] ,

[0087] in, This represents the activity level of charging station C. , These represent the number of days with off-peak charging demand and the total number of days within the statistical period for charging pile c, respectively.

[0088] When the activity level of a charging pile is higher than the activity level limit, it is defined as an active charging pile.

[0089] When the activity level of a charging pile is lower than the activity level limit, it is defined as an inactive charging pile.

[0090] The above classification criteria can be expressed as follows:

[0091] ,

[0092] in, This is the activity limit for charging piles. Charging piles exceeding this limit are considered active charging piles.

[0093] The activity limit for charging piles can be manually set according to the operational needs of dispatchers, or it can be evaluated with reference to a given type.

[0094] As is generally recommended, this invention suggests using a similar reference method for home charging stations, namely, statistically analyzing the activity level of home charging stations, calculating the average activity level, and using this average as the activity limit for charging stations. The reason for using this indicator is that home charging stations tend to have more stable charging activity during off-peak hours at night, providing strong guidance.

[0095] S3: Calculate the distribution characteristics of charging volume of active charging piles and evaluate the peak-shaving potential of active charging piles during off-peak hours.

[0096] Furthermore, the off-peak charging volume of each active daily charging pile in operation is statistically analyzed for at least one year and sorted from smallest to largest.

[0097] The charging piles are divided into at least 10 intervals with the maximum and minimum charging volume during off-peak hours as the limit.

[0098] Count the number of times charging occurred during off-peak hours in each interval;

[0099] Calculate the probability distribution of charging volume for active charging stations, and use the probability corresponding to the number of times active charging stations occurred in each interval as the evaluation result of the probability distribution:

[0100] ,

[0101] in, This represents the probability of low charging volume occurring during the pc interval for active charging piles. , These represent the number of times and the number of times the charging volume during off-peak hours occurred in the PC interval of active charging piles;

[0102] Calculate the probability distribution of off-peak charging volume for active charging stations:

[0103] ,

[0104] in, This represents the probability distribution of off-peak charging volume for active charging stations (PCs). , ... The probability of low-peak charging volume occurring in the first, second, ..., NPC intervals of active charging piles (pc) is shown in sequence. This refers to the off-peak charging volume of active charging piles. , ... These are the interval boundaries for the first, second, ..., NPC intervals of the active charging pile PC, respectively, where NPC is the number of intervals for the low-peak charging volume of the active charging pile PC.

[0105] Furthermore, the maximum charging capacity corresponding to the expected duration of the off-peak and peak-shaving period is calculated, which is the product of the expected duration of the off-peak and peak-shaving period and the maximum charging power of the active charging pile:

[0106] ,

[0107] in, The maximum charging capacity corresponds to the expected duration of the off-peak and peak-shaving period for active charging piles. This represents the maximum charging power of an active charging station PC. This represents the expected duration of the off-peak / peak-shaving period.

[0108] Calculate the off-peak peak-shaving capacity of active charging piles, which is the corresponding off-peak charging capacity.

[0109] If the off-peak charging amount is lower than the maximum charging amount corresponding to the expected duration of the off-peak peak shaving period, then the current peak shaving potential is the ratio of the off-peak charging amount to the expected duration of the off-peak peak shaving period.

[0110] If the off-peak charging volume exceeds the maximum charging volume corresponding to the expected duration of the off-peak peak period, then the current peak shaving potential is the maximum charging power corresponding to the current charging pile.

[0111] Therefore, the off-peak peak-shaving capability of active charging piles is expressed as:

[0112] ,

[0113] in, This represents the peak-shaving capability of active charging piles during off-peak hours.

[0114] Assess the peak-shaving potential of active charging piles during off-peak hours, i.e., the expected peak-shaving capacity under different off-peak charging volumes:

[0115] ,

[0116] in, This represents the peak-shaving potential of active charging piles during off-peak hours. , These are the interval boundaries for the first and NPC intervals of the active charging pile PC, respectively, where NPC is the number of off-peak charging intervals for the active charging pile PC. yes Differentials used in integration.

[0117] S4: Calculate the distribution characteristics of charging volume of inactive charging piles and evaluate the peak-shaving potential of inactive charging piles during off-peak hours.

[0118] The purpose is to statistically analyze the charging volume of inactive charging piles during off-peak hours and examine its distribution characteristics. Compared to active charging piles, the distribution characteristics of inactive charging piles should exclude operating days during which no charging occurs.

[0119] Specifically, the off-peak charging volume of inactive charging piles on each operating day for no less than one year is statistically analyzed and sorted from smallest to largest.

[0120] The charging piles are divided into at least 10 intervals with the maximum and minimum charging volume during off-peak hours as the limit.

[0121] The number of times charging occurred during off-peak hours in each interval is counted. It should be noted that if no charging was performed on the current operating day, it will not be included in the statistics.

[0122] Furthermore, the probability distribution of charging volume for inactive charging piles is calculated; the probability corresponding to the number of times inactive charging piles occur in each interval is used as the evaluation result of the probability distribution, which can be expressed as:

[0123] ,

[0124] in, This represents the probability of low charging volume occurring in the i-th interval of an inactive charging pile NPC. , These represent the number of times and the number of times the charging volume occurred during off-peak hours in the NPC interval for inactive charging piles.

[0125] The probability distribution of off-peak charging volume for inactive charging piles can be expressed as:

[0126] ,

[0127] in, This represents the probability distribution of off-peak charging volume for inactive charging station NPCs. , ... The probability of low-peak charging volume occurring in the first, second, ... Nth NPC intervals of inactive charging piles is shown in order. This refers to the low-peak charging volume of inactive charging piles (NPCs). , ... The interval boundaries are, in order, the first interval 1, the second interval, ... the NNPC interval of the inactive charging pile NPC, where NNPC is the number of low-peak charging intervals for the inactive charging pile NPC.

[0128] The calculation of the maximum charging capacity corresponding to the expected duration of the off-peak and peak-shaving period, i.e., the product of the expected duration of the off-peak and peak-shaving period and the maximum charging power of the inactive charging pile, is expressed as:

[0129] ,

[0130] in, The maximum charging capacity corresponds to the expected duration of the off-peak and peak-shaving period for inactive charging piles (NPCs). This refers to the maximum charging power of inactive charging piles (NPCs).

[0131] The calculation of the off-peak peak-shaving capacity of inactive charging piles, which is the peak-shaving capacity under the corresponding off-peak charging volume, is the same as that of active charging piles and can be expressed as:

[0132] ,

[0133] in, This represents the off-peak peak-shaving capability of inactive charging piles (NPCs).

[0134] Assess the peak-shaving potential of inactive charging piles during off-peak hours, i.e., the expected peak-shaving capacity under different off-peak charging volumes.

[0135] It should be noted that since the above statistics on off-peak charging volume do not consider situations where charging piles are not charging, the assessment of the off-peak peak-shaving potential of inactive charging piles should take into account their activity level compared to active charging piles, as expressed as:

[0136] ,

[0137] in, This represents the off-peak peak-shaving potential of inactive charging piles (NPCs). The activity level of inactive charging pile NPCs; This represents the probability distribution of off-peak charging volume for inactive charging station NPCs. This represents the off-peak peak-shaving capability of inactive charging piles (NPCs). This refers to the low-peak charging volume of inactive charging piles (NPCs). , These are the interval boundaries for the first and NNPC intervals of inactive charging piles (pc), respectively, where NNPC is the number of off-peak charging intervals for inactive charging piles (pc). It is an integral variable The derivative of represents the off-peak charging amount for inactive charging stations. Differentials used in integration.

[0138] S5: Evaluate the off-peak peak shaving potential of all charging pile types and calculate the off-peak peak shaving potential of orderly charging of electric vehicles.

[0139] Furthermore, the peak-shaving potential of orderly charging for electric vehicles is assessed, expressed as the sum of the peak-shaving potential of all active and inactive charging piles:

[0140] ,

[0141] in, Potential for peak-shaving during off-peak hours to facilitate orderly charging of electric vehicles. , These represent the number of active charging piles and the number of inactive charging piles, respectively.

[0142] Example 2, refer to Figure 2 This is one embodiment of the present invention, which provides an electric vehicle orderly charging off-peak peak shaving potential assessment system, including: an off-peak peak shaving period assessment module, a charging pile division module, a charging pile off-peak peak shaving potential assessment module, and an electric vehicle orderly charging off-peak peak shaving potential assessment module.

[0143] The off-peak and peak shaving period assessment module collects power supply data and, based on historical operating data, assesses the duration of off-peak and peak shaving periods in which electric vehicles participate in orderly charging.

[0144] The charging pile classification module calculates the activity level of charging piles and classifies them into active and inactive types based on their activity level.

[0145] The charging pile off-peak peak shaving potential assessment module calculates the distribution characteristics of the charging volume of active charging piles and assesses the off-peak peak shaving potential of active charging piles; it also calculates the distribution characteristics of the charging volume of inactive charging piles and assesses the off-peak peak shaving potential of inactive charging piles.

[0146] The module for assessing the off-peak peak-shaving potential of orderly charging for electric vehicles evaluates the off-peak peak-shaving potential of all types of charging piles and calculates the off-peak peak-shaving potential of orderly charging for electric vehicles.

[0147] This embodiment also provides an electronic device applicable to a method for assessing the peak-shaving potential of orderly charging for electric vehicles, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the method for assessing the peak-shaving potential of orderly charging for electric vehicles as proposed in the above embodiment.

[0148] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a method for assessing the peak-shaving potential of orderly charging for electric vehicles as proposed in the above embodiments.

[0149] The storage medium proposed in this embodiment belongs to the same inventive concept as the method for evaluating the peak-shaving potential of orderly charging of electric vehicles proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0150] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0151] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for assessing the peak-shaving potential of orderly charging for electric vehicles, characterized in that: include, Collect power supply data and, based on historical operating data, assess the duration of off-peak and peak-shaving periods during which electric vehicles participate in orderly charging. Calculate the activity level of charging piles and classify them into active and inactive types based on their activity level. The calculation of charging pile activity includes defining the activity level of any charging pile as the ratio of the number of times electric vehicles were charging during off-peak hours to the number of days within the statistical period. in, This represents the activity level of charging station C. , These represent the number of days with off-peak charging demand and the total number of days within the statistical period for charging pile c, respectively. When the activity level of a charging pile is higher than the activity level limit, it is defined as an active charging pile. When the activity level of a charging pile is lower than the activity level limit, it is defined as an inactive charging pile. Calculate the distribution characteristics of charging volume of active charging piles and evaluate the peak-shaving potential of active charging piles during off-peak hours; Calculate the distribution characteristics of charging volume of inactive charging piles and evaluate the peak-shaving potential of inactive charging piles during off-peak hours. Assess the off-peak and peak-shaving potential of different types of charging piles and calculate the off-peak and peak-shaving potential of orderly charging of electric vehicles. Among them, the assessment of the peak-shaving potential of active charging piles, that is, the expected value of peak-shaving capacity under different off-peak charging volumes, is as follows: in, This represents the peak-shaving potential of active charging piles during off-peak hours. , These are the interval boundaries for the first and NPC intervals of the active charging pile PC, respectively, where NPC is the number of off-peak charging intervals for the active charging pile PC. This represents the peak-shaving capability of active charging piles during off-peak hours. This represents the probability distribution of off-peak charging volume for active charging stations (PCs). For active charging piles, the amount of charging during off-peak hours is reduced. Assessing the off-peak peak-shaving potential of inactive charging piles, i.e., the expected peak-shaving capacity under different off-peak charging volumes, requires considering the activity level of the charging piles, which is expressed as: in, This represents the off-peak peak-shaving potential of inactive charging piles (NPCs). The activity level of inactive charging pile NPCs; This represents the probability distribution of off-peak charging volume for inactive charging station NPCs. This represents the off-peak peak-shaving capability of inactive charging piles (NPCs). This refers to the low-peak charging volume of inactive charging piles (NPCs). , These are the interval boundaries for the first and NNPC intervals of the inactive charging pile pc, respectively, where NNPC is the number of low-peak charging intervals for the inactive charging pile pc. The calculation of the peak-shaving potential for orderly charging of electric vehicles includes assessing the peak-shaving potential for orderly charging of electric vehicles, which is expressed as the sum of the peak-shaving potential of all active and inactive charging piles: in, Potential for peak-shaving during off-peak hours to facilitate orderly charging of electric vehicles. , These represent the number of active charging piles and the number of inactive charging piles, respectively.

2. The method for assessing the peak-shaving potential of orderly charging for electric vehicles as described in claim 1, characterized in that: The power data includes statistics on paid peak shaving of conventional power sources and peak shaving call status of adjustable power sources. The duration of the off-peak charging period for electric vehicles participating in orderly charging assessment includes the duration of the off-peak charging period on any operating day, i.e., the duration during which conventional power supply paid peak shaving and regulating power supply peak shaving are called upon, expressed as: in, , These are the duration of the off-peak peak shaving period on the operating day d, and the duration of paid peak shaving of conventional power sources and peak shaving of regulating power sources being called upon. Collect historical data for at least one year, including the duration of off-peak peak shaving periods on each operating day. Sort the data by duration from lowest to highest, and divide the data into at least 10 intervals with the maximum and minimum durations of off-peak peak shaving periods as limits. Count the number of occurrences of off-peak peak shaving periods in each interval and analyze the distribution characteristics of their durations. The expected duration of the off-peak and peak-shaving period is assessed by statistically analyzing the median of the interval with the highest frequency of occurrence of the off-peak and peak-shaving period duration distribution.

3. The method for assessing the peak-shaving potential of orderly charging for electric vehicles as described in claim 2, characterized in that: The distribution characteristics of the charging volume of the active charging piles include: statistically analyzing the off-peak charging volume of the active charging piles on each operating day for no less than one year, and sorting them from low to high according to the charging volume. The charging piles are divided into at least 10 intervals with the maximum and minimum charging volume during off-peak hours as the limit. Count the number of times charging occurred during off-peak hours in each interval; Calculate the probability distribution of charging volume for active charging stations, and use the probability corresponding to the number of times active charging stations occurred in each interval as the evaluation result of the probability distribution: in, This represents the probability of low charging volume occurring during the pc interval for active charging piles. , These represent the number of times and the number of times the charging volume during off-peak hours occurred in the PC interval of active charging piles; Calculate the probability distribution of off-peak charging volume for active charging stations: in, This represents the probability distribution of off-peak charging volume for active charging stations (PCs). , ... The probability of low-peak charging volume occurring in the first, second, ..., NPC intervals of active charging piles (pc) are listed in order. For active charging piles, this refers to the amount of charging during off-peak hours. , ... These are the interval boundaries for the first, second, ..., NPC intervals of the active charging pile PC, respectively, where NPC is the number of intervals for the off-peak charging volume of the active charging pile PC.

4. The method for assessing the peak-shaving potential of orderly charging for electric vehicles as described in claim 3, characterized in that: The assessment of the peak-shaving potential of active charging piles includes calculating the maximum charging volume corresponding to the expected duration of the peak-shaving period, i.e., the product of the expected duration of the peak-shaving period and the maximum charging power of the active charging pile: in, The maximum charging capacity corresponds to the expected duration of the off-peak and peak-shaving period for active charging piles. This represents the maximum charging power of an active charging station PC. This represents the expected duration of the off-peak / peak-shaving period. Calculate the off-peak peak-shaving capacity of active charging piles, which is the corresponding off-peak charging capacity. If the off-peak charging amount is lower than the maximum charging amount corresponding to the expected duration of the off-peak peak shaving period, then the current peak shaving potential is the ratio of the off-peak charging amount to the expected duration of the off-peak peak shaving period. If the off-peak charging volume exceeds the maximum charging volume corresponding to the expected duration of the off-peak peak period, then the current peak shaving potential is the maximum charging power corresponding to the current charging pile. The off-peak peak-shaving capability of active charging piles is expressed as: in, This represents the peak-shaving capability of active charging piles during off-peak hours.

5. The method for assessing the peak-shaving potential of orderly charging for electric vehicles as described in claim 4, characterized in that: The distribution characteristics of the charging volume of the inactive charging piles include: statistically analyzing the off-peak charging volume of the inactive charging piles on each operating day for at least one year, and sorting them from smallest to largest. The charging piles are divided into at least 10 intervals with the maximum and minimum charging volume during off-peak hours as the limit. The number of times charging occurred during off-peak hours in each interval is counted. If no charging was performed on the current operating day, it is not included in the statistics. The probability of the number of times inactive charging piles occur in each interval is used as the evaluation result of the distribution probability to calculate the distribution probability of inactive charging piles during off-peak hours. Calculate the maximum charging amount corresponding to the expected duration of the off-peak and peak-shaving period, which is the product of the expected duration of the off-peak and peak-shaving period and the maximum charging power of the inactive charging pile. The calculation of the off-peak peak-shaving capacity of inactive charging piles is the same as that of active charging piles.

6. A system for assessing the peak-shaving potential of orderly charging for electric vehicles, using the method for assessing the peak-shaving potential of orderly charging for electric vehicles as described in any one of claims 1 to 5, characterized in that, include: Off-peak and off-peak period assessment module, charging pile classification module, charging pile off-peak and off-peak potential assessment module, electric vehicle orderly charging off-peak and off-peak potential assessment module. The off-peak peak shaving period assessment module collects power supply data and, based on historical operating data, assesses the duration of off-peak peak shaving periods in which electric vehicles participate in orderly charging. The charging pile classification module calculates the activity level of the charging piles and classifies the charging piles into types based on their activity level, including active charging piles and inactive charging piles. The charging pile off-peak peak shaving potential assessment module calculates the distribution characteristics of charging volume of active charging piles and assesses the off-peak peak shaving potential of active charging piles; it also calculates the distribution characteristics of charging volume of inactive charging piles and assesses the off-peak peak shaving potential of inactive charging piles. The electric vehicle orderly charging off-peak potential assessment module evaluates the off-peak potential of all charging pile types and calculates the off-peak potential of electric vehicle orderly charging.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method for assessing the peak-shaving potential of orderly charging of electric vehicles according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for assessing the peak-shaving potential of orderly charging of electric vehicles according to any one of claims 1 to 5.

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