Charging station operation capability evaluation model construction method based on multi-source data

Abstract

The invention relates to the technical field of charging station pricing, in particular to a multi-source data-based charging station operation capability evaluation model construction method. According to the method, the charging price of each charging pile in a charging station in each specified time period is obtained, the profit value of each charging pile in each specified time period is obtained according to the charging price, and then the initial price reduction degree of each charging pile in each specified time period is obtained; according to the profit value difference between each type of charging pile in the charging station in the specified day and the specified other days and the charging price difference between each type of charging pile in the charging station and the same type of charging pile in the other charging stations in the same specified time period, the initial price reduction degree is corrected, and the target price reduction degree is obtained to adjust the charging price; and obtaining the target charging price of each charging pile in the charging station in each time period in one day. The target charging price of each charging pile in the charging station in each time period is accurately acquired, so that the pricing reasonability of the charging station is ensured, and the stable operation of the charging station is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of charging station pricing, and in particular to a method for constructing a charging station operation capability evaluation model based on multi-source data. Background Art

[0002] There are many factors that affect the pricing of charging stations, including power, brand, installation location, operating costs, market demand, regional electricity price differences, and charging time. These factors work together to determine the charging standards for charging piles in charging stations. In order to ensure that charging stations have good profits, it is necessary to reasonably adjust the charging prices of charging piles.

[0003] The existing method mainly adjusts the charging price of the charging pile based on the profit value of the charging station in the recent period. In actual situations, there are many factors that affect the charging price of the charging pile. Adjusting the charging price per unit charging time of the charging pile based only on the profit value will result in deviations, resulting in the charging price per unit charging time of the charging pile being too high or too low, thereby affecting the operation of the charging station and not being conducive to the charging station obtaining reasonable profits. Summary of the invention

[0004] In order to solve the technical problem that the charging price per unit charging time of a charging pile will be adjusted according to the profit value only, which will lead to the charging price per unit charging time of the charging pile being too high or too low, the purpose of the present invention is to provide a method for constructing a charging station operation capacity evaluation model based on multi-source data. The technical solution adopted is as follows: An embodiment of the present invention provides a method for constructing a charging station operation capability evaluation model based on multi-source data, the method comprising the following steps: Obtain the charging price and charging capacity of each charging pile in each charging station within the specified range in each specified time period within the specified number of days, and the daily maintenance cost of each charging pile in each charging station within the specified number of days; wherein the division of the specified time period in each day is exactly the same; According to the difference between the charging price of each charging pile in each charging station in each designated time period of each day within the designated days and the prescribed electricity fee, the charging amount of the same type of charging piles in all charging stations in the same designated time period within the designated days, and the maintenance cost, the profit function of each charging pile in each charging station is obtained every day; based on the profit function, the profit value of each charging pile in each charging station in each designated time period of the day is obtained by using the PSO algorithm; Based on the profit value of each type of charging pile in each charging station in each specified time period in a day, the initial price reduction degree of each type of charging pile in each charging station in each specified time period in a day is obtained; according to the difference in profit value of each type of charging pile in each charging station on each day in the specified days and other days, and the difference in profit value of each specified time period of each day in the specified days and the same specified time period in other days, the profit value of each type of charging pile in each charging station in each specified time period in a day is corrected to obtain the target profit value of each type of charging pile in each specified time period in a day; according to the target profit value, the initial price reduction degree is corrected to obtain the reference price reduction degree of each type of charging pile in each charging station in each specified time period in a day; According to the charging price difference between each charging pile in each charging station and the same charging pile in other charging stations in the same designated time period, and the reference price reduction degree, obtaining the target price reduction degree of each charging pile in each charging station in each designated time period of the day; The target charging price of each charging pile in each charging station in each time period of the day is obtained according to the target price reduction degree and the difference in charging price between each charging pile in each charging station and the same charging pile in other charging stations in the same specified time period.

[0005] Furthermore, the method for obtaining the profit function is: For any type of charging pile and any specified time period of any day in the specified days, obtain the cumulative result of the charging amount of the charging pile of the type in the specified time period of the day in all charging stations within the specified range as the reference charging amount of the charging pile of the type in the specified time period of the day; Obtain the average of the reference charging amounts of the charging pile in the specified time period of all days in the specified number of days as the charging requirement of the charging pile in the specified time period of one day; For any type of charging pile in any charging station within the specified range, a daily profit function for the charging pile in the charging station is constructed based on the difference between the charging price of the charging pile in the charging station in each specified time period of each day on the specified days and the prescribed electricity fee, the charging demand for the charging pile in each specified time period of a day, and the daily maintenance cost of the charging pile in the charging station within the specified days.

[0006] Furthermore, the formula of the profit function is: ; In the formula, is the profit value of the k-th charging pile in the a-th charging station on the i-th day in the specified number of days; T is the number of specified time periods in a day; is the charging price of the kth charging pile in the ath charging station in the tth specified time period on the ith day among the specified days; The prescribed electricity fee for the kth type of charging pile in the ath charging station during the tth specified time period on the ith day among the specified days; The charging demand of the k-th charging pile in the t-th specified time period of a day; It is the maintenance cost of the k-th charging pile in the a-th charging station on the i-th day in the specified number of days.

[0007] Furthermore, the profit function also includes the following constraints: The value range of is within the rated service fee range; Greater than or equal to 0 and less than or equal to the estimated maximum charge requirement ; The estimated maximum charging requirement The calculation formula is: ; In the formula, The estimated maximum charging demand of the k-th charging pile in the t-th specified time period of a day; is the duration of the tth specified time period in a day; is the total number of all k-th charging piles in all charging stations within the specified range.

[0008] Furthermore, the method for obtaining the initial price reduction degree is: The profit values ​​of each type of charging pile in each charging station in each specified time period of a day are negatively correlated and normalized as the initial price reduction degree of each type of charging pile in each charging station in each specified time period of a day.

[0009] Furthermore, the method for obtaining the target profit value is: For any type of charging pile in any charging station within the specified range, obtain the average profit value of the charging pile in the charging station within the specified number of days as the first reference value; For any day in the specified number of days, the difference between the profit value of the charging pile of the charging station on that day and the first reference value is used as the first abnormality degree of the charging pile of the charging station on that day; The difference between the profit value of the charging pile of the charging station in each designated time period of the day and the profit value of the charging pile of the charging station in the same designated time period of the other days in the designated days is accumulated as the second abnormality degree of the charging pile of the charging station in the day; A result of normalizing the sum of the first abnormality level and the second abnormality level is used as the charging abnormality level of the charging pile of the charging station on that day; When the charging abnormality is greater than the preset charging abnormality threshold, the corresponding day is marked as a special day; The average profit value of the charging piles of the charging station in the same specified time period in all remaining days after removing the special days in the specified number of days is obtained as the target profit value of the charging piles of the charging station in the corresponding specified time period in one day.

[0010] Furthermore, the method for obtaining the reference price reduction degree is: The result of negative correlation of the target profit value of each charging pile in each charging station in each specified time period of the day is used as the first correction weight of each charging pile in each charging station in each specified time period of the day; The product of the first modified weight of each charging pile in each charging station in each designated time period of a day and the initial price reduction degree is used as the reference price reduction degree of each charging pile in each charging station in each designated time period of a day.

[0011] Furthermore, the method for obtaining the target price reduction degree is: For any type of charging pile in any charging station within the specified range and any specified time period in a day, obtain the difference between the charging price of the type of charging pile in the charging station and the charging price of the type of charging pile in each other charging station in the specified time period, and use them as the first value; Normalizing the mean of the first values ​​as a second correction weight for the type of charging pile in the charging station during the specified time period of the day; The product of the normalized result of the reference price reduction degree of the charging pile of the charging station in the specified time period of the day and the second correction weight is used as the target price reduction degree of the charging pile of the charging station in the specified time period of the day.

[0012] Furthermore, the method for obtaining the target charging price is: For any type of charging pile in any charging station within the specified range, obtain the specified time period corresponding to the maximum target profit value of the charging pile in the charging station in a day as a reference specified time period; Obtain the average charging price of the charging piles of the type in all charging stations other than the charging station within the specified range during the reference specified time period as the charging price reference value for the reference specified time period; The difference between the charging price reference value and the charging price of the charging pile in the charging station during the reference specified time period is used as the benchmark charging price change; The ratio of the target price reduction degree of the charging pile in the charging station in each designated time period of the day to the target price reduction degree of the reference designated time period is used as the relative charging price change degree corresponding to the designated time period; The product of the change in the benchmark charging price and the relative charging price change degree of the charging pile in the charging station in each specified time period of the day is used as the charging price correction value corresponding to the specified time period; The sum of the charging price of the charging pile of the charging station in each designated time period of the day and the charging price correction value is used as the corrected charging price of the charging pile of the charging station in each designated time period of the day; According to the modified charging price of the charging pile of the charging station in each specified time period of the day, obtain the same pricing time period of the charging pile of the charging station in each specified time period of the day; For any same pricing time period, the average of the modified charging prices of all specified time periods in the same pricing time period is used as the target charging price for the same pricing time period.

[0013] Furthermore, the method for obtaining the same pricing time period is: For any type of charging pile in any charging station within the specified range, the modified charging price of the charging pile in the charging station in each specified time period of the day is clustered using the DBSCAN density clustering algorithm to obtain a cluster cluster; The specified time period corresponding to the modified charging price in each cluster is regarded as a same pricing time period.

[0014] The present invention has the following beneficial effects: The present invention obtains the profit value of each charging pile in each designated time period of a day based on the difference between the charging price of each charging pile in each charging station in each designated time period of each day within the designated days and the prescribed electricity fee, and the charging amount and maintenance cost of the same type of charging piles in all charging stations within the same designated time period of the designated days, and preliminarily determines the profit value of each charging pile in each charging station in each designated time period of any day, which is conducive to the subsequent analysis of the adjustment degree of the charging price of each charging pile in each charging station in each designated time period of a day; and then obtains the profit value of each charging pile in each charging station in each designated time period of a day based on the profit value of each charging pile in each charging station The initial price reduction degree of the time period preliminarily reflects the degree of decline in the charging price of each charging pile in each charging station in each specified time period of the day. In order to more accurately analyze the degree of decline in the charging price of each charging pile in each charging station in each specified time period of the day and avoid the impact of special days on the profit value of each charging pile in each charging station in each specified time period of the day, thereby causing inaccurate analysis of the degree of decline in the charging price of each charging pile in each charging station in each specified time period of the day, further according to the difference in profit value of each charging pile in each charging station on each day in the specified days and other days, as well as the difference between each specified time period on each day in the specified days and the same specified time period on other days. The profit value difference of each charging pile in each charging station in each specified time period of the day is corrected to accurately obtain the target profit value of each charging pile in each charging station in each specified time period of the day, so that the profit value of each charging pile in each charging station in each specified time period of the day is more accurate; then the initial price reduction degree is corrected by the target profit value to obtain the reference price reduction degree of each charging pile in each charging station in each specified time period of the day, further reflecting the degree of decrease in the charging price of each charging pile in each charging station in each specified time period of the day; in order to more accurately adjust the charging price of each charging pile in each charging station in each specified time period of the day The reference price reduction degree is further corrected according to the charging price difference between each charging pile in each charging station and the same charging pile in other charging stations in the same specified time period, and the target price reduction degree of each charging pile in each charging station in each specified time period of the day is obtained, which accurately reflects the adjustment degree of the charging price of each charging pile in each charging station in each specified time period of the day; and then according to the target price reduction degree and the charging price difference between each charging pile in each charging station and the same charging pile in other charging stations in the same specified time period, the target charging price of each charging pile in each charging station in each time period of the day is accurately obtained to ensure the stable operation of the charging station and make a reasonable profit of the charging station. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A schematic flow chart of a method for constructing a charging station operation capability evaluation model based on multi-source data provided by an embodiment of the present invention; Figure 2 A flow chart of a method for obtaining a reference price reduction degree provided by an embodiment of the present invention; Figure 3 A structural diagram of a system for constructing a charging station operation capability evaluation model based on multi-source data provided by an embodiment of the present invention; Figure 4 A schematic diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the method for constructing a charging station operation capacity evaluation model based on multi-source data proposed by the present invention, in combination with the accompanying drawings and preferred embodiments, its specific implementation method, structure, characteristics and effects are described as follows. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0019] The following is a detailed description of a method for constructing a charging station operation capability evaluation model based on multi-source data provided by the present invention in conjunction with the accompanying drawings.

[0020] Embodiment 1: This paper proposes a method for constructing a charging station operation capacity evaluation model based on multi-source data. Figure 1 , which shows a schematic flow chart of a method for constructing a charging station operation capability evaluation model based on multi-source data provided by an embodiment of the present invention, the method comprising the following steps: Step S1: Obtain the charging price and charging amount of each type of charging pile in each charging station within a specified range in each specified time period within a specified number of days, and the daily maintenance cost of each type of charging pile in each charging station within the specified number of days; wherein the division of the specified time period in each day is exactly the same.

[0021] It is known that different charging stations are in a competitive relationship, wherein each charging station has the same types of charging piles, such as electric vehicle charging piles and car charging piles. In order to accurately evaluate the operating capacity of the charging station, and then reasonably set the charging standards for each type of charging pile in each charging station, the income of the charging station is ensured to remain relatively stable. Therefore, this embodiment obtains the charging price and charging amount of each type of charging pile in each charging station within a specified range in each specified time period within a specified number of days, and the daily maintenance cost of each type of charging pile in each charging station within the specified number of days through investigation; wherein, the division of the specified time period in each day is exactly the same.

[0022] In this embodiment, the designated range is set to 3 kilometers, because for the user, the time cost of reaching any charging station within a range of 3 kilometers can be approximately regarded as equal. It should be noted that the designated range here is set for the user; the designated number of days is set to 30 days, and the designated time period is set to 1 hour, that is, each day of the designated number of days is divided into 24 designated time periods. The implementer can set the size of the designated range, designated number of days and designated time period according to actual conditions, and there is no limitation here.

[0023] Step S2: Obtain the profit function of each charging pile in each charging station every day according to the difference between the charging price of each charging pile in each charging station in each specified time period every day within the specified number of days and the prescribed electricity fee, the charging amount of the same type of charging piles in all charging stations in the same specified time period within the specified number of days, and the maintenance cost; based on the profit function, obtain the profit value of each charging pile in each charging station in each specified time period of the day through the PSO algorithm.

[0024] It is known that the charging price is composed of a service fee and a prescribed electricity fee, wherein the prescribed electricity fee is set by the State Grid Corporation, and the service fee is set by the charging station independently, but there will be upper and lower limits. Therefore, this embodiment can analyze the difference between the charging price and the prescribed electricity fee of each type of charging pile in each charging station in each specified time period of each day within the specified number of days, and preliminarily analyze the profit of each type of charging pile in each charging station. In order to analyze the profit of each type of charging pile in each charging station in each specified time period of each day, and then reasonably adjust the charging price, i.e., the charging standard, of each type of charging pile in each charging station in different time periods, and then this embodiment analyzes the charging amount of the same type of charging piles in all charging stations in the same specified time period within the specified number of days, and determines the charging requirement of each type of charging pile in each specified time period. In order to analyze the highest profit of a certain type of charging pile in a certain charging station in each specified time period, this embodiment assumes that the charging requirement of this type of charging pile in each specified time period is the charging requirement of this type of charging pile in the charging station in each specified time period. Considering that each type of charging pile in each charging station needs to incur maintenance costs every day, this embodiment obtains the profit function of each type of charging pile in each charging station every day based on the difference between the charging price and the prescribed electricity fee for each type of charging pile in each charging station in each specified time period every day within the specified number of days, and the charging amount and maintenance costs of the same type of charging piles in all charging stations in the same specified time period within the specified number of days. In order to accurately obtain the maximum profit value of each type of charging pile in each charging station in each specified time period of the day, this embodiment obtains the optimal profit value of each type of charging pile in each charging station in each specified time period of the day based on the profit function through the particle swarm optimization (PSO) algorithm. Among them, the particle swarm optimization (PSO) algorithm is a well-known technology and will not be described in detail.

[0025] Preferably, in a practical way of this embodiment, the method for obtaining the profit function is: for any type of charging pile and any specified time period of any day in the specified number of days, obtain the cumulative result of the charging amount of the charging pile of the specified time period of the day in all charging stations within the specified range, as the reference charging amount of the charging pile of the specified time period of the day; in order to analyze the charging requirement of the charging pile of the specified time period of any day, then obtain the average of the reference charging amount of the charging pile of the specified time period of all days in the specified number of days, as the charging requirement of the charging pile of the specified time period in one day; the greater the charging requirement, the greater the possibility that the charging pile will be used in the specified time period. Among them, the calculation formula of the charging requirement is: ; In the formula, is the charging demand of the kth type of charging pile in the tth specified time period within a day; N is the specified number of days; S is the number of charging stations within the specified range; The charging capacity of the kth charging pile in the sth charging station in the tth specified time period on the nth day among the specified days; is the reference charging capacity of the k-th charging pile in the t-th specified time period within the n-th day of the specified number of days; For any type of charging pile in any charging station within the specified range, a daily profit function of the type of charging pile in the charging station is constructed based on the difference between the charging price of the type of charging pile in the charging station in each specified time period of each day on the specified days and the prescribed electricity fee, the charging demand of the type of charging pile in each specified time period of a day, and the daily maintenance cost of the type of charging pile in the charging station within the specified days; wherein the formula of the profit function is: ; In the formula, is the profit value of the k-th charging pile in the a-th charging station on the i-th day in the specified number of days; T is the number of specified time periods in a day; is the charging price of the kth charging pile in the ath charging station in the tth specified time period on the ith day among the specified days; The prescribed electricity fee for the kth type of charging pile in the ath charging station during the tth specified time period on the ith day among the specified days; The charging demand of the k-th charging pile in the t-th specified time period of a day; It is the maintenance cost of the k-th charging pile in the a-th charging station on the i-th day in the specified number of days.

[0026] In addition, in order to accurately and reasonably obtain the profit value of each charging pile in each charging station in each specified time period of the day in the process of solving the profit function through the PSO algorithm, this embodiment constructs the constraint conditions of the profit function. It is known that the service fee of the charging station has upper and lower limit constraints, so, The value range of is within the rated service fee range, that is, ;in, is the minimum value in the rated service fee range; is the maximum value in the rated service fee range. In actual situations, the charging power of the charging pile is not constant and there is a decay phenomenon. Greater than or equal to 0 and less than or equal to the estimated maximum charge requirement Among them, the estimated maximum charging requirement The calculation formula is: ; In the formula, The estimated maximum charging demand of the k-th charging pile in the t-th specified time period of a day; is the duration of the tth specified time period in a day; is the total number of all k-th charging piles in all charging stations within the specified range. Therefore, the constraint condition of the profit function is: ; .

[0027] Based on the constraints of the profit function, the PSO algorithm is used to solve the profit function in the specified number of days, and Get the profit value of the k-th charging pile in the a-th charging station in each specified time period of the day.

[0028] At this point, the profit value of each type of charging pile in each charging station in each specified time period of a day is obtained when the charging demand is saturated.

[0029] Step S3: based on the profit value of each type of charging pile in each charging station in each specified time period in a day, obtain the initial price reduction degree of each type of charging pile in each charging station in each specified time period in a day; according to the difference in profit value of each type of charging pile in each charging station on each specified day and other days, and the difference in profit value of each specified time period of each day on the specified days and the same specified time period in other days, correct the profit value of each type of charging pile in each charging station in each specified time period in a day to obtain the target profit value of each type of charging pile in each charging station in each specified time period in a day; correct the initial price reduction degree according to the target profit value to obtain the reference price reduction degree of each type of charging pile in each charging station in each specified time period in a day.

[0030] Specifically, in order to ensure the overall revenue of the charging station, for a specified time period when a certain charging pile in a charging station has a higher profit value, the corresponding charging price should be reduced less to ensure the revenue of the charging station; for a specified time period when the profit value of the charging station is lower, the corresponding charging price can be reduced more to achieve the purpose of attracting users. Therefore, this embodiment obtains the initial price reduction degree of each charging pile in each charging station in each specified time period in a day based on the profit value of each charging pile in each charging station in each specified time period in a day, and preliminarily determines the reference degree of charging price reduction of each charging pile in each charging station in each specified time period in a day.

[0031] In actual situations, the profit value of each charging pile in each charging station in the same designated time period on different days is different, especially during certain holidays. Due to the influence of long driving or riding time, the number of charging vehicles will increase sharply, that is, the usage and charging time of charging piles will increase, thereby increasing the profit value of each charging pile in each charging station in the designated time period during certain holidays. However, the charging price of each charging pile in each charging station is mainly considered based on daily marketing needs. Therefore, it is necessary to screen out special days (such as holidays) for each charging pile in each charging station in the designated days and exclude them, and then accurately obtain the corrected profit value of each charging pile in each charging station in each designated time period in a day according to the designated days after excluding the special days, that is, the target profit value of each charging pile in each charging station in each designated time period in a day. Therefore, this embodiment corrects the profit value of each charging pile in each charging station in each designated time period of the day according to the profit value difference between each charging pile in each charging station and other days in the designated days, and the profit value difference between each designated time period of each day in the designated days and the same designated time period in other days, and obtains the target profit value of each charging pile in each charging station in each designated time period of the day. It should be noted that this embodiment directly obtains the profit value of each charging pile in each charging station in each designated time period of each day in the designated days during the survey process.

[0032] In order to accurately obtain the charging price of each charging pile in each charging station in each specified time period of the day, this embodiment corrects the initial price reduction degree according to the target profit value of each charging pile in each charging station in each specified time period of the day, obtains the reference price reduction degree of each charging pile in each charging station in each specified time period of the day, and more accurately determines the reference degree of charging price reduction for each charging pile in each charging station in each specified time period of the day.

[0033] Preferably, in a practical manner in this embodiment, the method for obtaining the reference price reduction degree can be found in Figure 2 , which shows a flow chart of a method for obtaining a reference price reduction degree provided in this embodiment, the method comprising the following steps: Step S201: Obtain the initial price reduction degree.

[0034] When the profit value of a certain charging pile in a certain charging station in a certain specified time period of a day is larger, it means that the usage of this type of charging pile in the charging station in the specified time period of a day is more. In order to ensure the income of the charging station, the degree of reduction of the charging price of this type of charging pile in the specified time period of a day should be smaller, because the demand for this type of charging pile in the charging station in the specified time period is large, and at this time, the user is more tolerant of the charging standard of the charging pile in order to charge; when the profit value of this type of charging pile in the charging station in the specified time period of a day is smaller, it means that the usage of this type of charging pile in the charging station in the specified time period of a day is less. In order to ensure the income of the charging station, the degree of reduction of the charging price of this type of charging pile in the specified time period of a day should be greater, so as to achieve the effect of attracting users and use the means of small profits but quick turnover. Therefore, in this embodiment, the profit value of each type of charging pile in each charging station in each specified time period of a day is negatively correlated and normalized as the initial price reduction degree of each type of charging pile in each charging station in each specified time period of a day.

[0035] The calculation formula for the initial price reduction is: ; In the formula, is the initial price reduction of the kth charging pile in the ath charging station in the tth specified time period of the day; is the profit value of the kth charging pile in the ath charging station in the tth specified time period of a day; exp is an exponential function with a natural constant as the base.

[0036] At this point, the initial price reduction degree of each charging pile in each charging station in each specified time period of the day is obtained.

[0037] Step S202: Obtain target profit value.

[0038] In order to avoid the impact of special days such as holidays on the profit value of each specified time period on ordinary days, resulting in inaccurate adjustment of the charging price of each charging pile in each charging station in each specified time period of the day, this embodiment corrects the profit value of each charging pile in each charging station in each specified time period of the day, and obtains the target profit value of each charging pile in each charging station in each specified time period of the day.

[0039] Preferably, in a practical manner of this embodiment, the method for obtaining the target profit value is as follows: for any type of charging pile in any charging station within a specified range, the average of the profit values ​​of the charging pile of the charging station on all days within a specified number of days is obtained as a first reference value; for any day within the specified number of days, the absolute value of the difference between the profit value of the charging pile of the charging station on that day and the first reference value is used as the first abnormality degree of the charging pile of the charging station on that day, and the greater the first abnormality degree, the more abnormal the profit value of the charging pile of the charging station on that day is; In order to more accurately analyze the abnormality of the profit value of the charging pile in the charging station on that day, the absolute value of the difference between the profit value of the charging pile in the charging station in each specified time period on that day and the profit value of the charging pile in the same specified time period on other days of the specified days is further accumulated as the second abnormality degree of the charging pile in the charging station on that day. The greater the second abnormality degree, the more abnormal the profit value of the charging pile in the charging station on that day. In order to analyze whether the charging pile of the charging station is abnormal on that day, the sum of the first abnormality degree and the second abnormality degree is normalized as the abnormality degree of charging of the charging pile of the charging station on that day; the greater the abnormality degree of charging, the more abnormal the charging pile of the charging station is on that day. Therefore, when the abnormality degree of charging is greater than the preset abnormality degree threshold, the corresponding day is marked as a special day; in this embodiment, the preset abnormality degree threshold is set to 0.7, and the implementer can set the preset abnormality degree threshold according to the actual situation, which is not limited here. Then, the average of the profit values ​​of the charging pile of the charging station in the same specified time period in all the remaining days after removing the special days in the specified number of days is obtained as the target profit value of the charging pile of the charging station in the corresponding specified time period in one day.

[0040] The calculation formula for the degree of abnormal charging is: ; In the formula, is the abnormal charging degree of the k-th charging pile in the a-th charging station on the g-th day in the specified number of days; is the profit value of the k-th charging pile in the a-th charging station on the g-th day in the specified number of days; is the first reference value; T is the number of specified time periods in a day; N is the specified number of days; is the profit value of the k-th charging pile in the a-th charging station in the t-th specified time period on the g-th day of the specified number of days; is the profit value of the k-th charging pile in the a-th charging station in the t-th specified time period on the n-th day of the specified number of days; is the first abnormality level of the k-th charging pile in the a-th charging station on the g-th day in the specified number of days; The second abnormality level of the k-th charging pile in the a-th charging station on the g-th day in the specified number of days; is the absolute value function; norm is the normalization function.

[0041] Step S203: Obtain a reference price reduction degree.

[0042] When the target profit value of a certain charging pile in a charging station in a certain specified time period of a day is larger, it means that the possibility of using the charging pile in the charging station in the specified time period is greater, such as the possibility of charging the car during the daytime in the commercial area, and the possibility of charging in the residential area at night. The greater the possibility of charging, the smaller the price reduction adjustment degree of the specified time period should be, and vice versa. In this embodiment, the result of negative correlation of the target profit value of each charging pile in each charging station in each specified time period of a day is used as the first correction weight of each charging pile in each charging station in each specified time period of a day; then the product of the first correction weight of each charging pile in each charging station in each specified time period of a day and the initial price reduction degree is used as the reference price reduction degree of each charging pile in each charging station in each specified time period of a day, which more accurately reflects the charging price adjustment degree of each charging pile in each charging station in each specified time period of a day.

[0043] The calculation formula for the reference price reduction degree is: ; In the formula, is the reference price reduction degree of the kth charging pile in the ath charging station in the tth specified time period of the day; is the target profit value of the kth charging pile in the ath charging station in the tth specified time period of the day; is the first preset constant, greater than 0; is the first modified weight of the kth type of charging pile in the ath charging station in the tth specified time period of the day; is the initial price reduction of the kth charging pile in the ath charging station in the tth specified time period of the day.

[0044] This embodiment sets 0.1 to avoid the denominator being 0. The implementer can set it according to the actual situation. The size is not limited here.

[0045] At this point, the reference price reduction degree of each charging pile in each charging station in each specified time period of the day is obtained.

[0046] Step S4: According to the charging price difference between each charging pile in each charging station and the same charging pile in other charging stations in the same designated time period, and the reference price reduction degree, obtain the target price reduction degree for each charging pile in each charging station in each designated time period of the day.

[0047] In actual situations, when analyzing the charging price of each type of charging pile in each charging station, it is necessary not only to consider the profit of each type of charging pile in each charging station in different designated time periods, but also to consider the charging price of the same type of charging pile in each other charging station with a competitive relationship in the same designated time period. For example, for a certain type of charging pile in a certain charging station, if the charging price of this type of charging pile in other charging stations except this charging station within the specified range in a certain designated time period is lower than the charging price of this type of charging pile in this charging station in this designated time period, it will inevitably affect the business situation of this type of charging pile in this charging station in this designated time period, causing a large number of users of this type of charging pile in this charging station in this designated time period to be lost. Therefore, this embodiment obtains the target price reduction degree of each type of charging pile in each charging station in each designated time period of a day according to the charging price difference between each type of charging pile in each charging station and the same type of charging pile in other charging stations in the same designated time period, and the reference price reduction degree, and accurately determines the charging price adjustment of each type of charging pile in each charging station in each designated time period of a day.

[0048] Preferably, in a manner that can be implemented in this embodiment, the method for obtaining the target price reduction degree is: for any type of charging pile in any charging station within a specified range and any specified time period in a day, the difference between the charging price of the type of charging pile in the charging station and the charging price of the type of charging pile in each other charging station in the specified time period is obtained, and all are taken as the first value, accurately reflecting the difference in charging price of the type of charging pile in the charging station and the charging price of the type of charging pile in each other charging station in the specified time period; in order to accurately analyze whether the charging price setting of the type of charging pile in the charging station in the specified time period is reasonable, the mean of the first value is obtained and normalized as the second correction weight of the type of charging pile in the charging station in the specified time period in a day; the larger the second correction weight, the lower the charging price of the type of charging pile in other charging stations in the specified time period, and in order to avoid user loss, the greater the degree of reduction in the charging price of the type of charging pile in the charging station in the specified time period should be. Furthermore, this embodiment uses the product of the normalized result of the reference price reduction degree of the charging pile of the charging station in the specified time period of the day and the second correction weight as the target price reduction degree of the charging pile of the charging station in the specified time period of the day.

[0049] The calculation formula for the target price reduction degree is: ; In the formula, The target price reduction level for the k-th charging pile in the a-th charging station at the t-th specified time period of the day; is the reference price reduction degree of the kth charging pile in the ath charging station in the tth specified time period of the day; S is the number of charging stations within the specified range; is the charging price of the kth charging pile in the ath charging station at the tth specified time period of the day; is the charging price of the kth charging pile in the sth charging station in the tth specified time period of the day; norm is the normalization function; is the first value; It is the second modified weight of the k-th charging pile in the a-th charging station in the t-th specified time period of a day.

[0050] At this point, the target price reduction degree of each charging pile in each charging station in each specified time period of the day is obtained.

[0051] Step S5: According to the target price reduction degree and the charging price difference between each charging pile in each charging station and the same charging pile in other charging stations in the same designated time period, the target charging price for each charging pile in each charging station in each time period of the day is obtained.

[0052] In actual situations, if the charging price of each charging pile in each charging station in each specified time period of the day is adjusted directly according to the target price reduction degree of each charging pile in each charging station in each specified time period of the day, the charging price may be too low. Therefore, this embodiment obtains the target charging price of each charging pile in each charging station in each time period of the day according to the target price reduction degree and the difference in charging price between each charging pile in each charging station and the same type of charging piles in other charging stations in the same specified time period.

[0053] Preferably, in an achievable manner of the present embodiment, the method for obtaining the target charging price is as follows: for any type of charging pile in any charging station within a specified range, obtain the specified time period corresponding to the maximum target profit value of the type of charging pile in the charging station in a day as a reference specified time period; obtain the average of the charging prices of the type of charging pile in all charging stations within the specified range except the charging station in the reference specified time period as a reference value of the charging price for the reference specified time period; use the difference between the charging price reference value and the charging price of the type of charging pile in the charging station in the reference specified time period as a benchmark charging price change; in order to avoid the charging price of the charging pile in the charging station being too low or too high, which will affect the income of the charging station, and thus In this embodiment, the ratio of the target price reduction degree of the charging pile in the charging station in each specified time period of the day to the target price reduction degree of the reference specified time period is used as the relative charging price change degree of the corresponding specified time period; the product of the reference charging price change and the relative charging price change degree of the charging pile in the charging station in each specified time period of the day is used as the charging price correction value of the corresponding specified time period; then the addition result of the charging price of the charging pile in the charging station in each specified time period of the day and the charging price correction value is used as the corrected charging price of the charging pile in the charging station in each specified time period of the day, so as to accurately predict the reasonable charging price of the charging pile in the charging station in each specified time period of the day; Considering that in actual situations, if the charging prices of this type of charging pile in the charging station are different in each specified time period of the day, it will cause the workload of profit value calculation and affect the consumption psychology of users. Therefore, this embodiment obtains each same pricing time period of this type of charging pile in the charging station according to the corrected charging price of this type of charging pile in the charging station in each specified time period of the day. Among them, the method for obtaining the same pricing time period is: for any type of charging pile in any charging station within the specified range, the corrected charging price of this type of charging pile in the charging station in each specified time period of the day is clustered by the DBSCAN density clustering algorithm to obtain cluster clusters; the specified time period corresponding to the corrected charging price in each cluster cluster is regarded as a same pricing time period. In this embodiment, the neighborhood radius in the DBSCAN density clustering algorithm is set to 0.3, and the minimum number of point sets is set to 3. The implementer can set the neighborhood radius and the minimum number of point sets in the DBSCAN density clustering algorithm according to the actual situation, which is not limited here. Among them, the DBSCAN density clustering algorithm is a well-known technology and will not be repeated. For any same pricing time period, the average of the modified charging prices of all specified time periods in the same pricing time period is used as the target charging price for the same pricing time period; thereby accurately predicting the target charging price of this type of charging pile in the charging station in each time period of the day.

[0054] At this point, the target charging price of each charging pile in each charging station at each time period of the day is accurately predicted to ensure the stable operation of the charging station, which is conducive to the charging station obtaining reasonable profits.

[0055] In summary, this embodiment obtains the charging price of each type of charging pile in the charging station in each specified time period, obtains the profit value of each type of charging pile in each specified time period based on the charging price, and then obtains the initial price reduction degree of each type of charging pile in each specified time period; according to the difference in profit value between each type of charging pile in the charging station on a specified day and other specified days, and the difference in charging price with the same type of charging pile in other charging stations in the same specified time period, the initial price reduction degree is corrected, the target price reduction degree is obtained to adjust the charging price, and the target charging price of each type of charging pile in the charging station in each time period of the day is obtained. The present invention ensures the rationality of charging station pricing by accurately obtaining the target charging price of each type of charging pile in the charging station in each time period, which is conducive to the stable operation of the charging station.

[0056] Embodiment 2: The present invention also proposes a charging station operation capability evaluation model construction system based on multi-source data, please refer to Figure 3 , which shows a system structure diagram of building a charging station operation capability evaluation model based on multi-source data provided by an embodiment of the present invention, the system includes: a data acquisition module 10, a profit value acquisition module 20, a reference price reduction degree acquisition module 30, a target price reduction degree acquisition module 40 and a target charging price acquisition module 50.

[0057] The data acquisition module 10 is used to obtain the charging price and charging amount of each charging pile in each charging station within a specified range in each specified time period within a specified number of days, and the daily maintenance cost of each charging pile in each charging station within the specified number of days; wherein the division of the specified time period in each day is exactly the same.

[0058] The profit value acquisition module 20 is used to obtain the profit function of each charging pile in each charging station every day according to the difference between the charging price of each charging pile in each charging station in each specified time period every day within the specified days and the prescribed electricity fee, the charging amount of the same type of charging piles in all charging stations in the same specified time period within the specified days, and the maintenance cost; based on the profit function, the profit value of each charging pile in each charging station in each specified time period of the day is obtained through the PSO algorithm.

[0059] The reference price reduction degree acquisition module 30 is used to obtain the initial price reduction degree of each charging pile in each charging station in each specified time period of the day based on the profit value of each charging pile in each charging station in each specified time period of the day; according to the difference in profit value of each charging pile in each charging station on each day in the specified days and other days, and the difference in profit value of each specified time period of each day in the specified days and the same specified time period in other days, the profit value of each charging pile in each specified time period of the day in each charging station is corrected to obtain the target profit value of each charging pile in each specified time period of the day in each charging station; the initial price reduction degree is corrected according to the target profit value to obtain the reference price reduction degree of each charging pile in each charging station in each specified time period of the day.

[0060] The target price reduction degree acquisition module 40 is used to obtain the target price reduction degree of each charging pile in each charging station in each specified time period of the day based on the difference in charging prices between each charging pile in each charging station and the same charging piles in other charging stations in the same specified time period, and the reference price reduction degree.

[0061] The target charging price acquisition module 50 is used to obtain the target charging price of each charging pile in each charging station in each time period of the day according to the target price reduction degree and the difference in charging price between each charging pile in each charging station and the same charging pile in other charging stations in the same specified time period.

[0062] It should be noted that the system provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, the system for building a charging station operation capacity evaluation model based on multi-source data and the method for building a charging station operation capacity evaluation model based on multi-source data provided in the above embodiment belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0063] Embodiment 3: The present invention also proposes a device for constructing a charging station operation capability assessment model based on multi-source data, the device comprising a memory and a processor, wherein the memory stores an executable program code, and the processor is used to call and execute the executable program code to execute a method for constructing a charging station operation capability assessment model based on multi-source data provided in an embodiment of the present application. The device can specifically be a chip, a component or a module, and the chip may include a connected processor and a memory; wherein the memory is used to store instructions, and when the processor calls and executes the instructions, the chip can execute a method for constructing a charging station operation capability assessment model based on multi-source data provided in the above embodiment.

[0064] In addition, the present application embodiment also protects a computer device, see Figure 4 The computer device includes a memory 401, a processor 402, and a computer program 403 stored in the memory 401 and running on the processor 402, wherein when the processor 402 executes the computer program 403, the computer device can execute any of the above-mentioned methods for constructing a charging station operation capacity evaluation model based on multi-source data.

[0065] Embodiment 4: This embodiment also provides a computer-readable storage medium, which stores computer program code. When the computer program code runs on a computer, the computer executes the above-mentioned related method steps to implement a method for constructing a charging station operation capacity evaluation model based on multi-source data provided in the above embodiment.

[0066] Embodiment 5: This embodiment also provides a computer program product. When the computer program product runs on a computer, it enables the computer to execute the above-mentioned related steps to implement a method for constructing a charging station operation capability evaluation model based on multi-source data provided in the above embodiment.

[0067] Among them, the device, computer-readable storage medium, computer program product or chip provided in this embodiment is used to execute the corresponding method provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method provided above, and will not be repeated here.

[0068] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0069] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for constructing a charging station operation capability evaluation model based on multi-source data, characterized in that: The method comprises the following steps: Obtain the charging price and charging capacity of each charging pile in each charging station within the specified range in each specified time period within the specified number of days, and the daily maintenance cost of each charging pile in each charging station within the specified number of days; wherein the division of the specified time period in each day is exactly the same; According to the difference between the charging price of each charging pile in each charging station in each designated time period of each day within the designated days and the prescribed electricity fee, the charging amount of the same type of charging piles in all charging stations in the same designated time period within the designated days, and the maintenance cost, the profit function of each charging pile in each charging station is obtained every day; based on the profit function, the profit value of each charging pile in each charging station in each designated time period of the day is obtained by using the PSO algorithm; Based on the profit value of each type of charging pile in each charging station in each specified time period in a day, the initial price reduction degree of each type of charging pile in each charging station in each specified time period in a day is obtained; according to the difference in profit value of each type of charging pile in each charging station on each day in the specified days and other days, and the difference in profit value of each specified time period of each day in the specified days and the same specified time period in other days, the profit value of each type of charging pile in each charging station in each specified time period in a day is corrected to obtain the target profit value of each type of charging pile in each specified time period in a day; according to the target profit value, the initial price reduction degree is corrected to obtain the reference price reduction degree of each type of charging pile in each charging station in each specified time period in a day; According to the charging price difference between each charging pile in each charging station and the same charging pile in other charging stations in the same designated time period, and the reference price reduction degree, obtaining the target price reduction degree of each charging pile in each charging station in each designated time period of the day; The target charging price of each charging pile in each charging station in each time period of the day is obtained according to the target price reduction degree and the difference in charging price between each charging pile in each charging station and the same charging pile in other charging stations in the same specified time period.

2. A method for constructing a charging station operation capability evaluation model based on multi-source data as claimed in claim 1, characterized in that: The method for obtaining the profit function is: For any type of charging pile and any specified time period of any day in the specified days, obtain the cumulative result of the charging amount of the charging pile of the type in the specified time period of the day in all charging stations within the specified range as the reference charging amount of the charging pile of the type in the specified time period of the day; Obtain the average of the reference charging amounts of the charging pile in the specified time period of all days in the specified number of days as the charging requirement of the charging pile in the specified time period of one day; For any type of charging pile in any charging station within the specified range, a daily profit function for the charging pile in the charging station is constructed based on the difference between the charging price of the charging pile in the charging station in each specified time period of each day on the specified days and the prescribed electricity fee, the charging demand for the charging pile in each specified time period of a day, and the daily maintenance cost of the charging pile in the charging station within the specified days.

3. The method for constructing a charging station operation capability evaluation model based on multi-source data according to claim 2, characterized in that: The formula of the profit function is: ; In the formula, is the profit value of the k-th charging pile in the a-th charging station on the i-th day in the specified number of days; T is the number of specified time periods in a day; is the charging price of the kth charging pile in the ath charging station in the tth specified time period on the ith day among the specified days; The prescribed electricity fee for the kth type of charging pile in the ath charging station during the tth specified time period on the ith day among the specified days; The charging demand of the k-th charging pile in the t-th specified time period of a day; It is the maintenance cost of the k-th charging pile in the a-th charging station on the i-th day in the specified number of days.

4. The method for constructing a charging station operation capability evaluation model based on multi-source data according to claim 3, characterized in that: The profit function also includes the following constraints: The value range of is within the rated service fee range; Greater than or equal to 0 and less than or equal to the estimated maximum charge requirement ; The estimated maximum charging requirement The calculation formula is: ; In the formula, is the estimated maximum charging demand of the k-th charging pile in the t-th specified time period of a day; is the duration of the tth specified time period in a day; is the total number of all k-th charging piles in all charging stations within the specified range.

5. The method for constructing a charging station operation capability evaluation model based on multi-source data according to claim 1, characterized in that: The method for obtaining the initial price reduction degree is: The profit values ​​of each type of charging pile in each charging station in each specified time period of a day are negatively correlated and normalized as the initial price reduction degree of each type of charging pile in each charging station in each specified time period of a day.

6. The method for constructing a charging station operation capability evaluation model based on multi-source data according to claim 1, characterized in that: The method for obtaining the target profit value is: For any type of charging pile in any charging station within the specified range, obtain the average profit value of the charging pile in the charging station within the specified number of days as the first reference value; For any day in the specified number of days, the difference between the profit value of the charging pile of the charging station on that day and the first reference value is used as the first abnormality degree of the charging pile of the charging station on that day; The difference between the profit value of the charging pile of the charging station in each designated time period of the day and the profit value of the charging pile of the charging station in the same designated time period of the other days in the designated days is accumulated as the second abnormality degree of the charging pile of the charging station in the day; A result of normalizing the sum of the first abnormality level and the second abnormality level is used as the charging abnormality level of the charging pile of the charging station on that day; When the charging abnormality is greater than the preset charging abnormality threshold, the corresponding day is marked as a special day; The average profit value of the charging piles of the charging station in the same specified time period in all remaining days after removing the special days in the specified number of days is obtained as the target profit value of the charging piles of the charging station in the corresponding specified time period in one day.

7. The method for constructing a charging station operation capability evaluation model based on multi-source data according to claim 1, characterized in that: The method for obtaining the reference price reduction degree is: The result of negative correlation of the target profit value of each charging pile in each charging station in each specified time period of the day is used as the first correction weight of each charging pile in each charging station in each specified time period of the day; The product of the first modified weight of each charging pile in each charging station in each designated time period of a day and the initial price reduction degree is used as the reference price reduction degree of each charging pile in each charging station in each designated time period of a day.

8. The method for constructing a charging station operation capability evaluation model based on multi-source data according to claim 1, characterized in that: The method for obtaining the target price reduction degree is: For any type of charging pile in any charging station within the specified range and any specified time period in a day, obtain the difference between the charging price of the type of charging pile in the charging station and the charging price of the type of charging pile in each other charging station in the specified time period, and use them as the first value; Normalizing the mean of the first values ​​as a second correction weight for the type of charging pile in the charging station during the specified time period of the day; The product of the normalized result of the reference price reduction degree of the charging pile of the charging station in the specified time period of the day and the second correction weight is used as the target price reduction degree of the charging pile of the charging station in the specified time period of the day.

9. The method for constructing a charging station operation capability evaluation model based on multi-source data according to claim 1, characterized in that: The method for obtaining the target charging price is: For any type of charging pile in any charging station within the specified range, obtain the specified time period corresponding to the maximum target profit value of the charging pile in the charging station in a day as a reference specified time period; Obtain the average charging price of the charging piles of the type in all charging stations other than the charging station within the specified range during the reference specified time period as the charging price reference value for the reference specified time period; The difference between the charging price reference value and the charging price of the charging pile in the charging station during the reference specified time period is used as the benchmark charging price change; The ratio of the target price reduction degree of the charging pile in the charging station in each designated time period of the day to the target price reduction degree of the reference designated time period is used as the relative charging price change degree corresponding to the designated time period; The product of the change in the benchmark charging price and the relative charging price change degree of the charging pile in the charging station in each specified time period of the day is used as the charging price correction value corresponding to the specified time period; The sum of the charging price of the charging pile of the charging station in each designated time period of the day and the charging price correction value is used as the corrected charging price of the charging pile of the charging station in each designated time period of the day; According to the modified charging price of the charging pile of the charging station in each specified time period of the day, obtain the same pricing time period of the charging pile of the charging station in each specified time period of the day; For any same pricing time period, the average of the modified charging prices of all specified time periods in the same pricing time period is used as the target charging price for the same pricing time period.

10. The method for constructing a charging station operation capability evaluation model based on multi-source data according to claim 9, characterized in that: The method for obtaining the same pricing time period is: For any type of charging pile in any charging station within the specified range, the modified charging price of the charging pile in the charging station in each specified time period of the day is clustered using the DBSCAN density clustering algorithm to obtain a cluster cluster; The specified time period corresponding to the modified charging price in each cluster is regarded as a same pricing time period.

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