Electric vehicle electricity price regulation method, device, computer equipment and storage medium

Abstract

The present application relates to a method, device, computer equipment and storage medium for regulating the electricity price of electric vehicles. The method includes: adjusting the estimated regulated electricity price of each charging station in a preset area at the current moment, and determining the estimated active power change value at the current moment according to the adjusted estimated regulated electricity price; determining the load fluctuation value before and after the electricity price regulation corresponding to each adjusted estimated regulated electricity price according to the estimated active power change value at the current moment corresponding to each adjusted estimated regulated electricity price; determining the execution electricity price of each charging station at the next moment according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation value before and after all electricity price regulation. Since the determined execution electricity price of each charging station at the next moment has the least impact on the load fluctuation of the power grid, it effectively smoothes the load fluctuation of the power grid, so that the load of the power grid remains stable.

Description

Technical Field

[0001] The present application relates to the technical field of electric vehicle charging control, and in particular to a method, device, computer equipment and storage medium for regulating the electricity price of an electric vehicle. Background Art

[0002] With the vigorous development and popularization of electric vehicles, their application in daily life is becoming more and more extensive, and the impact of disorderly charging of electric vehicles on the power grid is gradually becoming more and more significant. As a controllable load, electric vehicles can reduce their impact on the power grid through reasonable deployment, play a role in smoothing the fluctuation of power grid load and achieving peak load shifting. Therefore, how to achieve orderly charging of electric vehicles has become a research point that has attracted much attention.

[0003] The electricity price is one of the mainstream ways to guide the orderly charging of electric vehicles. In the relevant technologies, the orderly charging of electric vehicles is mainly guided by the time-sharing electricity price mechanism in fixed time periods. Specifically, by designing a reasonable time-sharing electricity price, electric vehicle users are guided to choose to charge at the off-peak electricity price time, thereby achieving orderly charging of electric vehicles.

[0004] However, this fixed-time time-of-use electricity price mechanism may cause a large number of electric vehicle users to respond to the cheap off-peak electricity prices at the same time, resulting in a new load peak in the distribution network, which will have an extremely adverse impact on the safe operation of the distribution network and cannot effectively smooth out grid load fluctuations. Summary of the invention

[0005] Based on this, it is necessary to provide an electric vehicle electricity price regulation method, device, computer equipment and storage medium that can effectively smooth out grid load fluctuations in response to the above technical problems.

[0006] A method for regulating electric vehicle electricity prices, the method comprising:

[0007] Adjust the estimated regulated electricity price at the current moment of each charging station in the preset area, and determine the estimated value of the active power change at the current moment according to the adjusted estimated regulated electricity price; wherein each adjusted estimated regulated electricity price must meet the preset conditions, and the preset conditions include that each adjusted estimated regulated electricity price is within the preset range;

[0008] Determine the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment according to the estimated active power change estimate at the current moment corresponding to the estimated regulated electricity price after each adjustment;

[0009] The execution electricity price of each charging station at the next moment is determined according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation.

[0010] In one embodiment, determining the estimated active power change value at the current moment according to the adjusted estimated regulated electricity price includes:

[0011] Determine the impact coefficient corresponding to the estimated regulated electricity price adjusted at the current moment for each charging station;

[0012] For any electric vehicle that is closest to any charging station at the current moment, the charging service judgment factor corresponding to any electric vehicle at the current moment, the charging willingness value of any electric vehicle, and the influence coefficient corresponding to the estimated regulated electricity price adjusted at any charging station at the current moment are multiplied in sequence to obtain the first product of any electric vehicle;

[0013] Superimpose the first products corresponding to each electric vehicle that is closest to any charging station at the current moment to obtain a first summation result corresponding to any charging station;

[0014] The first summation result corresponding to each charging station is superimposed to obtain a second summation result;

[0015] The second summation result, the reference value of the charging power of a single electric vehicle and the electricity price control judgment factor are multiplied in sequence to obtain a second product, and the second product is used as the estimated value of the active power change at the current moment.

[0016] In one embodiment, determining the influence coefficient corresponding to the estimated regulated electricity price adjusted at each charging station at the current moment includes:

[0017] For any charging station, determine the interval into which the estimated regulated electricity price of any charging station after adjustment at the current moment falls; the estimated regulated electricity price is pre-divided into 5 different intervals, and the 5 different intervals are respectively a first interval, a second interval, a third interval, a fourth interval and a fifth interval, the first interval is determined by negative infinity and the lower limit of the electricity price reduction, the second interval is determined by the lower limit of the electricity price reduction and the upper limit of the electricity price reduction, the third interval is determined by the upper limit of the electricity price reduction and the lower limit of the electricity price increase, the fourth interval is determined by the lower limit of the electricity price increase and the upper limit of the electricity price increase, and the fifth interval is determined by the upper limit of the electricity price increase and positive infinity;

[0018] If the estimated regulated electricity price of any charging station at the current moment falls into the first interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be 1;

[0019] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls within the second interval, a first difference between the lower limit of the electricity price reduction and the upper limit of the electricity price reduction is calculated, the inverse of the first difference is obtained to obtain a first ratio, a third product of the first ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, a second ratio between the upper limit of the electricity price reduction and the first difference is calculated, a second difference between the third product and the second ratio is calculated, and the second difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment;

[0020] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the third interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be 0;

[0021] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the fourth interval, the third difference between the lower limit of the electricity price increase and the upper limit of the electricity price increase is calculated, the inverse of the third difference is obtained to obtain a third ratio, the fourth product of the third ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, the fourth ratio between the lower limit of the electricity price increase and the third difference is calculated, the fourth difference between the fourth product and the fourth ratio is calculated, and the fourth difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment;

[0022] If the adjusted estimated regulated electricity price of any charging station at the current moment falls into the fourth interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be -1.

[0023] In one embodiment, the process of determining the charging willingness value of any electric vehicle at the current moment includes:

[0024] Get the remaining power percentage of any electric car at the current moment;

[0025] According to the remaining power percentage of any electric vehicle at the current moment, the charging willingness value of any electric vehicle at the current moment is determined.

[0026] In one embodiment, the process of determining the reference value of charging power of a single electric vehicle includes:

[0027] Obtain the total number of electric vehicles charged at a target historical moment in a preset area; the target historical moment is a moment in a historical time period, the current moment is a moment in the current time period, the length of the historical time period is the same as that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0028] Obtain the charging power of each electric vehicle that is charged at a target historical moment in a preset area;

[0029] The charging power of each electric vehicle charged at the target historical moment in the preset area is summed to obtain a third summation result;

[0030] A fifth ratio of the third summation result to the total number of electric vehicles charged in the preset area at the target historical moment is obtained, and the fifth ratio is used as a reference value of the charging power of a single electric vehicle.

[0031] In one embodiment, the process of determining the electricity price regulation judgment factor includes:

[0032] Get the regional active power of the preset regional target historical moment; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the length of the historical time period is the same as that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0033] Obtaining a sixth ratio of regional active power to power factor at a preset regional target historical moment;

[0034] Obtaining a seventh ratio of the sixth ratio to the feeder capacity of the preset area;

[0035] Determine the interval that the seventh ratio falls into; the seventh ratio is pre-divided into three different intervals, the three different intervals are a sixth interval, a seventh interval and an eighth interval, the sixth interval is determined by the load factor lower limit value and the load factor upper limit value, the seventh interval is determined by the load factor upper limit value and positive infinity, and the eighth interval is determined by negative infinity and the load factor lower limit value;

[0036] If the seventh ratio falls within the sixth interval, the electricity price control judgment factor is determined to be 0;

[0037] If the seventh ratio falls into the seventh interval or the eighth interval, the electricity price control judgment factor is determined to be 1.

[0038] In one embodiment, according to the estimated active power change estimate at the current moment corresponding to the estimated regulated electricity price after each adjustment, the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment is determined, including:

[0039] For any load fluctuation value before and after the electricity price regulation corresponding to the adjusted estimated regulated electricity price, obtain the regional active power at the preset regional target historical moment and the regional active power at the previous historical moment of the preset regional target historical moment; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the length of the historical time period is consistent with that of the current time period and the time division method is the same, and the value of the current moment is the same as that of the target historical moment;

[0040] Obtaining a fifth difference between the regional active power at a preset regional target historical moment and the regional active power at a previous historical moment before the preset regional target historical moment;

[0041] Obtaining a sum of the fifth difference and an estimated active power change value at the current moment corresponding to any adjusted estimated regulated electricity price;

[0042] Obtain the absolute value of the eighth ratio of the sum value to the regional active power at the previous historical moment of the preset regional target historical moment, and use the absolute value of the eighth ratio as the load fluctuation value before and after the electricity price control corresponding to any adjusted estimated regulated electricity price.

[0043] An electric vehicle electricity price control device, the device comprising:

[0044] The first determination module is used to adjust the estimated control electricity price of each charging station in the preset area at the current moment, and determine the estimated value of the active power change at the current moment according to the adjusted estimated control electricity price; wherein each adjusted estimated control electricity price must meet a preset condition, and the preset condition includes that each adjusted estimated control electricity price is within a preset range;

[0045] The second determination module is used to determine the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment according to the estimated active power change value at the current moment corresponding to the estimated regulated electricity price after each adjustment;

[0046] The third determination module is used to determine the execution electricity price of each charging station at the next moment according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price adjustments.

[0047] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0048] Adjust the estimated regulated electricity price at the current moment of each charging station in the preset area, and determine the estimated value of the active power change at the current moment according to the adjusted estimated regulated electricity price; wherein each adjusted estimated regulated electricity price must meet the preset conditions, and the preset conditions include that each adjusted estimated regulated electricity price is within the preset range;

[0049] Determine the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment according to the estimated active power change estimate at the current moment corresponding to the estimated regulated electricity price after each adjustment;

[0050] The execution electricity price of each charging station at the next moment is determined according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation.

[0051] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0052] Adjust the estimated regulated electricity price at the current moment of each charging station in the preset area, and determine the estimated value of the active power change at the current moment according to the adjusted estimated regulated electricity price; wherein each adjusted estimated regulated electricity price must meet the preset conditions, and the preset conditions include that each adjusted estimated regulated electricity price is within the preset range;

[0053] Determine the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment according to the estimated active power change value at the current moment corresponding to the estimated regulated electricity price after each adjustment;

[0054] The execution electricity price of each charging station at the next moment is determined according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation.

[0055] The above-mentioned electric vehicle electricity price regulation method, device, computer equipment and storage medium determine the execution electricity price of each charging station at the next moment by using the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation value before and after all electricity price regulation. Since the determined execution electricity price of each charging station at the next moment has the least impact on the load fluctuation of the power grid, it effectively smoothes the load fluctuation of the power grid and keeps the load of the power grid stable. It avoids a large number of electric vehicle users responding to the cheap off-peak sales electricity price at the same time, resulting in a new load peak in the distribution network, which has an extremely adverse impact on the safe operation of the distribution network. In addition, since the electricity price of each charging station is regulated in real time, the load of the power grid can always remain stable. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A schematic diagram of a flow chart of a method for regulating the electricity price of an electric vehicle in one embodiment;

[0057] Figure 2 A specific application scenario diagram of a step of determining a charging service judgment factor corresponding to each electric vehicle at the current moment in an embodiment;

[0058] Figure 3 A schematic diagram of estimating the impact of regulated electricity price changes on the charging willingness of electric vehicle owners in one embodiment;

[0059] Figure 4 A schematic diagram showing a comparison of regional active power in a preset area before and after charging electricity price regulation in an embodiment;

[0060] Figure 5 It is a schematic diagram showing a comparison of load fluctuation values ​​before and after charging electricity price regulation in one embodiment;

[0061] Figure 6 It is a structural block diagram of an electric vehicle electricity price control device in one embodiment;

[0062] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0064] With the vigorous development and popularization of electric vehicles, their application in daily life is becoming more and more extensive, and the impact of disorderly charging of electric vehicles on the power grid is gradually becoming more and more significant. As a controllable load, electric vehicles can reduce their impact on the power grid through reasonable deployment, play a role in smoothing the fluctuation of power grid load and achieving peak load shifting. Therefore, how to achieve orderly charging of electric vehicles has become a research point that has attracted much attention.

[0065] The electricity price is one of the mainstream ways to guide the orderly charging of electric vehicles. In the relevant technologies, the orderly charging of electric vehicles is mainly guided by the time-sharing electricity price mechanism in fixed time periods. Specifically, by designing a reasonable time-sharing electricity price, electric vehicle users are guided to choose to charge at the off-peak electricity price time, thereby achieving orderly charging of electric vehicles.

[0066] However, this fixed-time time-of-use electricity price mechanism may cause a large number of electric vehicle users to respond to the cheap off-peak electricity prices at the same time, resulting in a new load peak in the distribution network, which will have an extremely adverse impact on the safe operation of the distribution network and cannot effectively smooth out grid load fluctuations.

[0067] It is understood that the terms "first", "second", etc. used in this application can be used in this article to describe various professional terms, but unless otherwise specified, these professional terms are not limited by these terms. These terms are only used to distinguish one professional term from another professional term. For example, without departing from the scope of this application, the first interval and the second interval can be the same or different.

[0068] In view of the problems existing in the above-mentioned related technologies, an embodiment of the present invention provides an electric vehicle electricity price control method, which can be applied to a server, and the server can be implemented by an independent server or a server cluster composed of multiple servers. It should be noted that the number of "multiple" and the like mentioned in each embodiment of the present application refers to the number of "at least two", for example, "multiple" refers to "at least two".

[0069] Before describing the specific implementation of the embodiment of the present invention, the main application scenarios of the embodiment of the present invention are described first. The embodiment of the present invention provides an electric vehicle electricity price regulation method, which is mainly used in the scenario of guiding electric vehicles to charge in an orderly manner. It is mainly through real-time regulation of the electricity price of each charging station in a preset area according to the minimum value of the load fluctuation value before and after the electricity price regulation, so as to guide the electric vehicle owners in the preset area to reasonably arrange their own charging plans in real time, guide the electric vehicles to charge in an orderly manner, and then effectively smooth the load fluctuation of the power grid.

[0070] Based on this, see Figure 1 , provides a method for regulating the electricity price of electric vehicles. Taking the method applied to a server and the execution subject being the server as an example, the method includes the following steps:

[0071] 101. Adjust the estimated regulated electricity price at the current moment for each charging station in the preset area, and determine the estimated value of the active power change at the current moment based on the adjusted estimated regulated electricity price; wherein each adjusted estimated regulated electricity price must meet the preset conditions, and the preset conditions include that each adjusted estimated regulated electricity price is within the preset range;

[0072] 102. Determine the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment according to the estimated active power change estimate at the current moment corresponding to the estimated regulated electricity price after each adjustment;

[0073] 103. Determine the execution electricity price of each charging station at the next moment according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation.

[0074] In the above step 101, the estimated regulated electricity price refers to the change value relative to the benchmark electricity price. It should be noted that the benchmark electricity price can be 1 yuan / kWh. In addition, the preset area is the electricity consumption area covered by the 10kV line power supply. In addition, since the estimated regulated electricity price of each charging station at the current moment cannot be regulated too high to damage the interests of electric vehicle owners, nor can it be regulated too low to damage the interests of charging station operators. Therefore, the estimated regulated electricity price adjusted at each charging station at the current moment should be within a reasonable range, that is, the estimated regulated electricity price adjusted at each charging station at the current moment must meet the preset conditions within the preset range, so as to ensure that the estimated regulated electricity price adjusted at each charging station at the current moment will not be regulated too high to damage the interests of electric vehicle owners, nor will it be regulated too low to damage the interests of charging station operators. It should be noted that the preset range can be -0.5 yuan / kWh and 0.5 yuan / kWh.

[0075] In addition, in the above step 101, the preset condition also includes that the predicted charging load value of each charging station is not greater than the preset threshold value. The process of determining the predicted charging load value of each charging station includes: for any electric vehicle that is closest to any charging station at the current moment, multiply the charging service judgment factor corresponding to any electric vehicle at the current moment and the charging willingness value of any electric vehicle to obtain the fifth product of any electric vehicle; superimpose the fifth product corresponding to each electric vehicle that is closest to any charging station at the current moment to obtain the fourth summation result corresponding to any charging station; multiply the fourth summation result corresponding to any charging station, the charging power reference value of a single electric vehicle and the estimated regulated electricity price adjusted at any charging station at the current moment in sequence to obtain the sixth product; and use the sixth product as the predicted charging load value of any charging station.

[0076] It should be noted that the formula corresponding to the specific determination process of the charging load prediction value of each charging station can be shown in the following formula (1), which is not specifically limited in the embodiment of the present invention:

[0077]

[0078] In the formula, the left side of formula (1) is the predicted value of charging load of the kth charging station, P re (t) is the reference value of charging power for a single electric vehicle, A(x k (t)) is the influence coefficient of the estimated regulated electricity price of the kth charging station at the current moment, x k (t) is the estimated regulated electricity price of the kth charging station after adjustment at the current moment, is the total number of electric vehicles closest to charging station k at the current moment, B i (t) is the charging service judgment factor corresponding to the i-th electric vehicle at the current moment, P i (SOC) is the charging willingness value of the i-th electric vehicle at the current moment, SOC is the remaining power percentage of the i-th electric vehicle at the current moment, P k,max is the maximum charging active power of the kth charging station, which is also the preset threshold. Since the preset condition that the charging load prediction value of each charging station is not greater than the preset threshold is set, it is ensured that the charging load prediction value of each charging station in the preset area at the current moment is within its maximum charging capacity after adjusting the electricity price.

[0079] In the above step 103, for example, the base electricity price is 1 yuan / kWh, and there are five charging stations A, B, C, D and E in the preset area. The estimated regulated electricity prices of the five charging stations A, B, C, D and E at the current moment corresponding to the minimum value of the load fluctuation value before and after all electricity price regulation are 0.5 yuan / kWh, 0.3 yuan / kWh, -0.3 yuan / kWh, -0.2 yuan / kWh and -0.4 yuan / kWh respectively. Accordingly, the determined execution electricity prices of the five charging stations A, B, C, D and E at the next moment are 1.5 yuan / kWh, 1.3 yuan / kWh, 0.7 yuan / kWh, 0.8 yuan / kWh and 0.6 yuan / kWh respectively.

[0080] It should be noted that, in actual applications, after determining the execution price of each charging station at the next moment, the execution price of each charging station at the next moment will be pushed to the user terminal at the current moment, so that electric car owners can understand the changes in charging electricity prices in advance and adjust their charging behavior, thereby realizing real-time guidance of orderly charging of electric vehicles in a preset area.

[0081] The method provided by the embodiment of the present invention determines the execution electricity price of each charging station at the next moment by using the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation. Since the determined execution electricity price of each charging station at the next moment has the least impact on the load fluctuation of the power grid, it effectively smoothes the load fluctuation of the power grid and keeps the load of the power grid stable. It avoids a large number of electric vehicle users responding to the cheap off-peak sales electricity price at the same time, resulting in a new load peak in the distribution network, which has an extremely adverse impact on the safe operation of the distribution network.

[0082] In addition, since the electricity price of each charging station is adjusted in real time, the grid load can always remain stable.

[0083] In combination with the content of the above embodiments, in one embodiment, determining the estimated active power change value at the current moment according to the adjusted estimated control electricity price includes:

[0084] Determine the impact coefficient corresponding to the estimated regulated electricity price adjusted at the current moment for each charging station;

[0085] For any electric vehicle that is closest to any charging station at the current moment, the charging service judgment factor corresponding to any electric vehicle at the current moment, the charging willingness value of any electric vehicle, and the influence coefficient corresponding to the estimated regulated electricity price adjusted at any charging station at the current moment are multiplied in sequence to obtain the first product of any electric vehicle;

[0086] Superimpose the first products corresponding to each electric vehicle that is closest to any charging station at the current moment to obtain a first summation result corresponding to any charging station;

[0087] The first summation result corresponding to each charging station is superimposed to obtain a second summation result;

[0088] The second summation result, the reference value of the charging power of a single electric vehicle and the electricity price control judgment factor are multiplied in sequence to obtain a second product, and the second product is used as the estimated value of the active power change at the current moment.

[0089] Among them, the formula corresponding to the specific process of determining the estimated active power change value at the current moment according to the adjusted estimated control electricity price can be shown in the following formula (2), which is not specifically limited in the embodiment of the present invention:

[0090]

[0091] It should be noted that, in the formula, ΔP(t) is the estimated value of active power change at the current moment, P re (t) is the reference value of charging power for a single electric vehicle, K(t) is the electricity price control judgment factor, ∑ is the cumulative symbol, N station (t) is the number of charging stations in the preset area, is the total number of electric vehicles closest to charging station k at the current moment, A(x k (t)) is the influence coefficient of the estimated regulated electricity price of the kth charging station at the current moment, x k (t) is the estimated regulated electricity price of the kth charging station after adjustment at the current moment, B i (t) is the charging service judgment factor corresponding to the i-th electric vehicle at the current moment, P i (SOC) is the charging willingness value of the i-th electric vehicle at the current moment, and SOC is the remaining power percentage of the i-th electric vehicle at the current moment.

[0092] Among them, the specific process of determining the charging service judgment factor corresponding to any electric vehicle at the current moment includes but is not limited to: obtaining the current geographical location of each electric vehicle in the preset area; determining the real-time distance between each electric vehicle and the closest charging station in the preset area according to the current geographical location of each electric vehicle; judging whether each electric vehicle is within the charging service range according to the service radius of the charging station and the real-time distance between each electric vehicle and each charging station in the preset area; and determining the charging service judgment factor corresponding to each electric vehicle at the current moment according to the judgment result corresponding to each electric vehicle. Specifically, the formula corresponding to the judgment process can be shown as the following formula (3), which is not specifically limited in the embodiment of the present invention:

[0093]

[0094] It should be noted that, in the formula, B i (t) is the charging service judgment factor corresponding to the i-th electric vehicle at the current moment, d i (t) is the real-time distance between the i-th electric vehicle and the nearest charging station in the preset area at the current moment, B i If (t) is 0, it means that the i-th electric vehicle is not within the charging service range. i If (t) is 1, it means that the i-th electric vehicle is within the charging service range. Among them, the specific application scenario diagram for determining the charging service judgment factor corresponding to each electric vehicle at the current moment can be as follows Figure 2 shown.

[0095] The method provided by the embodiment of the present invention determines the estimated active power change value at the current moment according to the real-time data corresponding to each electric vehicle in the preset area. Since the determined estimated active power change value at the current moment is determined according to the real-time data corresponding to each electric vehicle in the preset area, the obtained estimated active power change value is more in line with the actual situation of the preset area. Therefore, the load fluctuation value before and after the electricity price regulation determined according to the estimated active power change value is also more in line with the actual situation of the preset area, that is, the load fluctuation value before and after the electricity price regulation determined is more accurate, so that the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulations can be determined more accurately to execute the electricity price of each charging station at the next moment, thereby effectively smoothing the load fluctuation of the power grid.

[0096] In combination with the content of the above embodiment, in one embodiment, determining the influence coefficient corresponding to the estimated regulated electricity price adjusted at each charging station at the current moment includes:

[0097] For any charging station, determine the interval into which the estimated regulated electricity price of any charging station after adjustment at the current moment falls; the estimated regulated electricity price is pre-divided into 5 different intervals, and the 5 different intervals are respectively a first interval, a second interval, a third interval, a fourth interval and a fifth interval, the first interval is determined by negative infinity and the lower limit of the electricity price reduction, the second interval is determined by the lower limit of the electricity price reduction and the upper limit of the electricity price reduction, the third interval is determined by the upper limit of the electricity price reduction and the lower limit of the electricity price increase, the fourth interval is determined by the lower limit of the electricity price increase and the upper limit of the electricity price increase, and the fifth interval is determined by the upper limit of the electricity price increase and positive infinity;

[0098] If the estimated regulated electricity price of any charging station at the current moment falls into the first interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be 1;

[0099] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls within the second interval, a first difference between the lower limit of the electricity price reduction and the upper limit of the electricity price reduction is calculated, the inverse of the first difference is obtained to obtain a first ratio, a third product of the first ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, a second ratio between the upper limit of the electricity price reduction and the first difference is calculated, a second difference between the third product and the second ratio is calculated, and the second difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment;

[0100] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the third interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be 0;

[0101] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the fourth interval, the third difference between the lower limit of the electricity price increase and the upper limit of the electricity price increase is calculated, the inverse of the third difference is obtained to obtain a third ratio, the fourth product of the third ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, the fourth ratio between the lower limit of the electricity price increase and the third difference is calculated, the fourth difference between the fourth product and the fourth ratio is calculated, and the fourth difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment;

[0102] If the adjusted estimated regulated electricity price of any charging station at the current moment falls into the fourth interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be -1.

[0103] The formula corresponding to the specific process of determining the influence coefficient corresponding to the estimated regulated electricity price of each charging station adjusted at the current moment can be shown in the following formula (4), which is not specifically limited in the embodiment of the present invention:

[0104]

[0105] It should be noted that, in the formula, x is the estimated regulated electricity price adjusted at any charging station at the current moment, A(x) is the influence coefficient corresponding to the estimated regulated electricity price adjusted at any charging station at the current moment, the value of A(x) is in the interval of [-1,1], Δc1 is the lower limit of the electricity price reduction, Δc2 is the upper limit of the electricity price reduction, Δc3 is the lower limit of the electricity price increase, Δc4 is the upper limit of the electricity price increase, when A(x) = -1, it means that the electric car owner is inevitably affected by the change in electricity price and has no intention to charge, when A(x) = 1, it means that the electric car owner has the intention to charge, and when A(x) = 0, it means that the change in electricity price does not affect the charging intention of the electric car owner. Among them, the values ​​of Δc1, Δc2, Δc3 and Δc4 can correspond to -0.6 yuan / kWh, -0.2 yuan / kWh, 0.2 yuan / kWh and 0.8 yuan / kWh respectively.

[0106] Among them, there is a certain dead zone in the perception of electric vehicle owners on the adjusted estimated regulated electricity price, that is, a smaller estimated regulated electricity price adjustment will not affect the charging willingness of electric vehicle owners. When the estimated regulated electricity price changes to a certain extent, the electricity price will begin to linearly affect the user's charging willingness. Therefore, the impact of the estimated regulated electricity price change on the charging willingness of electric vehicle owners can be as follows: Figure 3 It should be noted that Figure 3 The horizontal axis in represents the estimated regulated electricity price of any charging station after adjustment at the current moment, and the vertical axis represents the influence coefficient corresponding to the estimated regulated electricity price of any charging station after adjustment at the current moment.

[0107] In combination with the content of the above embodiments, in one embodiment, the process of determining the charging willingness value of any electric vehicle at the current moment includes:

[0108] Get the remaining power percentage of any electric car at the current moment;

[0109] According to the remaining power percentage of any electric vehicle at the current moment, the charging willingness value of any electric vehicle at the current moment is determined.

[0110] Among them, according to the remaining power percentage of any electric vehicle at the current moment, the formula corresponding to the specific process of determining the charging willingness value of any electric vehicle at the current moment can be shown in the following formula (5), which is not specifically limited in the embodiment of the present invention:

[0111]

[0112] It should be noted that, in the formula, SOC is the percentage of remaining power of any electric vehicle at the current moment, P(s1≤SOC≤s2) represents the probability distribution of the electric vehicle owner's willingness to charge within different remaining power ranges, s1 and s2 are the percentage of power between [0,100%], and can be 1% as the minimum interval, that is, s1 and s2 can be 0, 1%, 2%, 3%, ..., 100% respectively, and λ is the fitting coefficient. Among them, for example, the percentage of remaining power of any electric vehicle at the current moment is 2.5%, and accordingly, the values ​​of s1 and s2 in the formula correspond to 2% and 3% respectively. In addition, the specific process of determining λ may include: obtaining the sum of the percentage of remaining power of all electric vehicles in the preset area at each historical moment, obtaining the total number of electric vehicles charged in the preset area at each historical moment, and determining the fitting relationship between the percentage of remaining power and the total number of electric vehicles according to the sum of the percentage of remaining power of all electric vehicles in the preset area at each historical moment and the total number of electric vehicles charged in the preset area at each historical moment; and determining the fitting coefficient λ based on the fitting relationship. It should be noted that the value of λ can be 1.

[0113] In combination with the contents of the above embodiments, in one embodiment, the process of determining the reference value of charging power of a single electric vehicle includes:

[0114] Obtain the total number of electric vehicles charged at a target historical moment in a preset area; the target historical moment is a moment in a historical time period, the current moment is a moment in the current time period, the length of the historical time period is the same as that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0115] Obtain the charging power of each electric vehicle that is charged at a target historical moment in a preset area;

[0116] The charging power of each electric vehicle charged at the target historical moment in the preset area is summed to obtain a third summation result;

[0117] A fifth ratio of the third summation result to the total number of electric vehicles charged in the preset area at the target historical moment is obtained, and the fifth ratio is used as a reference value of the charging power of a single electric vehicle.

[0118] The current time period may be today, and each 15 minutes in the current time period may be divided into a moment; correspondingly, the historical time period may be yesterday, and each 15 minutes in the historical time period may be divided into a moment.

[0119] In addition, the formula corresponding to the specific determination process of the reference value of the charging power of a single electric vehicle can be shown in the following formula (6), which is not specifically limited in the embodiment of the present invention:

[0120]

[0121] It should be noted that, in the formula, P re (t) is the reference value of charging power for a single electric vehicle, N(t) is the total number of electric vehicles charged at the target historical moment in the preset area, P i (t) is the charging power of the i-th electric vehicle being charged at the target historical moment.

[0122] In combination with the content of the above embodiment, in one embodiment, the process of determining the electricity price regulation judgment factor includes:

[0123] Get the regional active power of the preset regional target historical moment; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the length of the historical time period is the same as that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0124] Obtaining a sixth ratio of regional active power to power factor at a preset regional target historical moment;

[0125] Obtaining a seventh ratio of the sixth ratio to the feeder capacity of the preset area;

[0126] Determine the interval that the seventh ratio falls into; the seventh ratio is pre-divided into three different intervals, the three different intervals are a sixth interval, a seventh interval and an eighth interval, the sixth interval is determined by the load factor lower limit value and the load factor upper limit value, the seventh interval is determined by the load factor upper limit value and positive infinity, and the eighth interval is determined by negative infinity and the load factor lower limit value;

[0127] If the seventh ratio falls within the sixth interval, the electricity price control judgment factor is determined to be 0;

[0128] If the seventh ratio falls into the seventh interval or the eighth interval, the electricity price control judgment factor is determined to be 1.

[0129] The formula corresponding to the specific determination process of the electricity price control judgment factor can be shown in the following formulas (7) and (8), which are not specifically limited in the embodiment of the present invention:

[0130]

[0131] It should be noted that, in the formula, η(t) is the regional load rate at the target historical moment, which is also the seventh ratio; P area (t) is the regional active power at the preset regional target historical moment; is the power factor, and the value of the power factor can be 0.95; S is the feeder capacity of the preset area.

[0132]

[0133] It should be noted that, in the formula, K(t) is the electricity price regulation judgment factor, η low is the lower limit of load factor, η top The regional load rate should be within a reasonable range and should not be too high to cause regional overload. At the same time, the phenomenon of idle resources due to low load should also be reduced. Therefore, the upper and lower limits of the load rate judgment η are set to determine whether regulation is needed. low and η top The judgment basis is as shown in the above formula (8). When K(t) is 0, it means that no regulation is required, and when K(t) is 1, it means that regulation is required.

[0134] In combination with the content of the above embodiments, in one embodiment, according to the estimated active power change estimate at the current moment corresponding to the estimated regulated electricity price after each adjustment, the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment is determined, including:

[0135] For any load fluctuation value before and after the electricity price regulation corresponding to the adjusted estimated regulated electricity price, obtain the regional active power at the preset regional target historical moment and the regional active power at the previous historical moment of the preset regional target historical moment; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the length of the historical time period is consistent with that of the current time period and the time division method is the same, and the value of the current moment is the same as that of the target historical moment;

[0136] Obtaining a fifth difference between the regional active power at a preset regional target historical moment and the regional active power at a previous historical moment before the preset regional target historical moment;

[0137] Obtaining a sum of the fifth difference and an estimated active power change value at the current moment corresponding to any adjusted estimated regulated electricity price;

[0138] Obtain the absolute value of the eighth ratio of the sum value to the regional active power at the previous historical moment of the preset regional target historical moment, and use the absolute value of the eighth ratio as the load fluctuation value before and after the electricity price control corresponding to any adjusted estimated regulated electricity price.

[0139] Among them, according to the estimated active power change estimated value at the current moment corresponding to the estimated regulated electricity price after each adjustment, the formula corresponding to the specific determination process of the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment can be shown in the following formula (9), and the embodiment of the present invention does not specifically limit this:

[0140]

[0141] It should be noted that, in the formula, P area (t) is the regional active power at the preset regional target historical moment, P area (t-1) is the regional active power at the previous historical moment of the preset regional target historical moment, and ΔP(t) is the estimated active power change at the current moment. In addition, the comparison of the regional active power of the preset area before and after the charging price regulation can be shown as follows: Figure 4 As shown, Figure 4 The vertical axis regional load in corresponds to the regional active power. The comparison of load fluctuation values ​​before and after charging price regulation can be shown as follows: Figure 5 As shown, Figure 5 The load fluctuation rate in the vertical axis area corresponds to the load fluctuation value before and after electricity price regulation.

[0142] It should be understood that although Figure 1The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0143] In combination with the contents of the above embodiments, in one embodiment, Figure 6 As shown, a device for regulating and controlling electricity prices of electric vehicles is provided, comprising: a first determining module 601, a second determining module 602 and a third determining module 603, wherein:

[0144] The first determination module 601 is used to adjust the estimated control electricity price of each charging station in the preset area at the current moment, and determine the estimated value of the active power change at the current moment according to the adjusted estimated control electricity price; wherein each adjusted estimated control electricity price must meet a preset condition, and the preset condition includes that each adjusted estimated control electricity price is within a preset range;

[0145] The second determination module 602 is used to determine the load fluctuation value before and after the electricity price regulation corresponding to each adjusted estimated regulated electricity price according to the estimated active power change value at the current moment corresponding to each adjusted estimated regulated electricity price;

[0146] The third determination module 603 is used to determine the execution electricity price of each charging station at the next moment according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation.

[0147] In one embodiment, the first determining module 601 includes:

[0148] A determination unit, used to determine the influence coefficient corresponding to the estimated regulated electricity price adjusted at each charging station at the current moment;

[0149] A first multiplication unit is used to multiply the charging service judgment factor corresponding to any electric vehicle at the current moment, the charging willingness value of any electric vehicle, and the influence coefficient corresponding to the estimated regulated electricity price adjusted at the current moment of any charging station in sequence for any electric vehicle that is closest to any charging station at the current moment, to obtain a first product of any electric vehicle;

[0150] A first superposition unit is used to superimpose the first products corresponding to each electric vehicle that is closest to any charging station at the current moment to obtain a first summation result corresponding to any charging station;

[0151] A second superposition unit, used for superimposing the first summation result corresponding to each charging station to obtain a second summation result;

[0152] The second multiplication unit is used to multiply the second summation result, the charging power reference value of a single electric vehicle and the electricity price control judgment factor in sequence to obtain a second product, and use the second product as the estimated active power change value at the current moment.

[0153] In one embodiment, the determining unit includes:

[0154] The first determination subunit is used to determine, for any charging station, the interval into which the estimated regulated electricity price of any charging station after adjustment at the current moment falls; the estimated regulated electricity price is pre-divided into 5 different intervals, the 5 different intervals are respectively a first interval, a second interval, a third interval, a fourth interval and a fifth interval, the first interval is determined by negative infinity and the lower limit value of the electricity price reduction, the second interval is determined by the lower limit value of the electricity price reduction and the upper limit value of the electricity price reduction, the third interval is determined by the upper limit value of the electricity price reduction and the lower limit value of the electricity price increase, the fourth interval is determined by the lower limit value of the electricity price increase and the upper limit value of the electricity price increase, and the fifth interval is determined by the upper limit value of the electricity price increase and positive infinity;

[0155] The second determination subunit is used to determine that the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is 1 if the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the first interval; if the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the second interval, calculate the first difference between the lower limit value of the electricity price reduction and the upper limit value of the electricity price reduction, find the inverse of the first difference to obtain a first ratio, calculate the third product of the first ratio and the estimated regulated electricity price of any charging station at the current moment, calculate the second ratio between the upper limit value of the electricity price reduction and the first difference, calculate the second difference between the third product and the second ratio, and use the second difference as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment; if the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the second interval If the estimated regulated electricity price of any charging station at the current moment falls within the third interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be 0; if the estimated regulated electricity price of any charging station at the current moment after adjustment falls within the fourth interval, the third difference between the lower limit value of the electricity price increase and the upper limit value of the electricity price increase is calculated, the inverse of the third difference is calculated to obtain a third ratio, the fourth product of the third ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, the fourth ratio between the lower limit value of the electricity price increase and the third difference is calculated, the fourth difference between the fourth product and the fourth ratio is calculated, and the fourth difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment; if the estimated regulated electricity price of any charging station at the current moment after adjustment falls within the fourth interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be -1.

[0156] In one embodiment, the first multiplication unit comprises:

[0157] A first acquisition subunit is used to acquire the remaining power percentage of any electric vehicle at the current moment;

[0158] The third determination subunit is used to determine the charging willingness value of any electric vehicle at the current moment according to the remaining power percentage of any electric vehicle at the current moment.

[0159] In one embodiment, the multiplication unit comprises:

[0160] The second acquisition subunit is used to acquire the total number of electric vehicles charged at a target historical moment in a preset area; the target historical moment is a moment in a historical time period, the current moment is a moment in the current time period, the length of the historical time period is consistent with that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0161] A third acquisition subunit is used to acquire the charging power of each electric vehicle that is charged at a target historical moment in a preset area;

[0162] A summing subunit, configured to sum the charging power of each electric vehicle charged at a target historical moment in a preset area to obtain a third summing result;

[0163] The fourth acquisition subunit is used to obtain a fifth ratio of the third summation result to the total number of electric vehicles charged in the preset area at the target historical moment, and use the fifth ratio as a reference value of the charging power of a single electric vehicle.

[0164] In one embodiment, the multiplication unit further includes:

[0165] A fifth acquisition subunit is used to acquire the regional active power of a preset regional target historical moment; the target historical moment is a moment in a historical time period, the current moment is a moment in the current time period, the length of the historical time period is consistent with that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0166] A sixth acquisition subunit, used to acquire a sixth ratio of regional active power to power factor at a preset regional target historical moment;

[0167] a seventh acquisition subunit, configured to acquire a seventh ratio of the sixth ratio to the feeder capacity of a preset area;

[0168] a fourth determination subunit, configured to determine the interval into which the seventh ratio falls; the seventh ratio is pre-divided into three different intervals, the three different intervals being a sixth interval, a seventh interval and an eighth interval, the sixth interval being determined by a load factor lower limit value and a load factor upper limit value, the seventh interval being determined by a load factor upper limit value and positive infinity, and the eighth interval being determined by negative infinity and the load factor lower limit value;

[0169] The fifth determining subunit is used to determine that the electricity price regulation judgment factor is 0 if the seventh ratio falls within the sixth interval; and to determine that the electricity price regulation judgment factor is 1 if the seventh ratio falls within the seventh interval or the eighth interval.

[0170] In one embodiment, the second determining module 602 includes:

[0171] The first acquisition unit is used to obtain the regional active power at the preset regional target historical moment and the regional active power at the previous historical moment of the preset regional target historical moment for the load fluctuation value before and after the electricity price regulation corresponding to any adjusted estimated regulated electricity price; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the length of the historical time period is consistent with that of the current time period and the time division method is the same, and the value of the current moment is the same as that of the target historical moment;

[0172] A second acquisition unit is used to acquire a fifth difference between the regional active power at a preset regional target historical moment and the regional active power at a previous historical moment before the preset regional target historical moment;

[0173] A third acquisition unit is used to obtain a sum of the fifth difference and the estimated active power change value at the current moment corresponding to any adjusted estimated regulated electricity price;

[0174] The fourth acquisition unit is used to obtain the absolute value of the eighth ratio of the sum value to the regional active power at the previous historical moment of the preset regional target historical moment, and use the absolute value of the eighth ratio as the load fluctuation value before and after the electricity price control corresponding to any adjusted estimated regulated electricity price.

[0175] The device provided by the embodiment of the present invention determines the execution electricity price of each charging station at the next moment by using the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation. Since the determined execution electricity price of each charging station at the next moment has the least impact on the load fluctuation of the power grid, it effectively smoothes the load fluctuation of the power grid and keeps the load of the power grid stable. It avoids a large number of electric vehicle users responding to the cheap off-peak sales electricity price at the same time, resulting in a new load peak in the distribution network, which has an extremely adverse impact on the safe operation of the distribution network.

[0176] In addition, since the electricity price of each charging station is adjusted in real time, the grid load can always remain stable.

[0177] For the specific definition of the electric vehicle electricity price control device, please refer to the definition of the electric vehicle electricity price control method mentioned above, which will not be repeated here. Each module in the above-mentioned electric vehicle electricity price control device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0178] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as the estimated regulated electricity price of each charging station at the current moment, the estimated active power change at the current moment, and the load fluctuation value before and after the electricity price regulation. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for regulating the electricity price of an electric vehicle is implemented.

[0179] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0180] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0181] Adjust the estimated regulated electricity price at the current moment of each charging station in the preset area, and determine the estimated value of the active power change at the current moment according to the adjusted estimated regulated electricity price; wherein each adjusted estimated regulated electricity price must meet the preset conditions, and the preset conditions include that each adjusted estimated regulated electricity price is within the preset range;

[0182] Determine the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment according to the estimated active power change estimate at the current moment corresponding to the estimated regulated electricity price after each adjustment;

[0183] The execution electricity price of each charging station at the next moment is determined according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation.

[0184] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0185] Determine the impact coefficient corresponding to the estimated regulated electricity price adjusted at the current moment for each charging station;

[0186] For any electric vehicle that is closest to any charging station at the current moment, the charging service judgment factor corresponding to any electric vehicle at the current moment, the charging willingness value of any electric vehicle, and the influence coefficient corresponding to the estimated regulated electricity price adjusted at any charging station at the current moment are multiplied in sequence to obtain the first product of any electric vehicle;

[0187] Superimpose the first products corresponding to each electric vehicle that is closest to any charging station at the current moment to obtain a first summation result corresponding to any charging station;

[0188] The first summation result corresponding to each charging station is superimposed to obtain a second summation result;

[0189] The second summation result, the reference value of the charging power of a single electric vehicle and the electricity price control judgment factor are multiplied in sequence to obtain a second product, and the second product is used as the estimated value of the active power change at the current moment.

[0190] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0191] For any charging station, determine the interval into which the estimated regulated electricity price of any charging station after adjustment at the current moment falls; the estimated regulated electricity price is pre-divided into 5 different intervals, and the 5 different intervals are respectively a first interval, a second interval, a third interval, a fourth interval and a fifth interval, the first interval is determined by negative infinity and the lower limit of the electricity price reduction, the second interval is determined by the lower limit of the electricity price reduction and the upper limit of the electricity price reduction, the third interval is determined by the upper limit of the electricity price reduction and the lower limit of the electricity price increase, the fourth interval is determined by the lower limit of the electricity price increase and the upper limit of the electricity price increase, and the fifth interval is determined by the upper limit of the electricity price increase and positive infinity;

[0192] If the estimated regulated electricity price of any charging station at the current moment falls into the first interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be 1;

[0193] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls within the second interval, a first difference between the lower limit of the electricity price reduction and the upper limit of the electricity price reduction is calculated, the inverse of the first difference is obtained to obtain a first ratio, a third product of the first ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, a second ratio between the upper limit of the electricity price reduction and the first difference is calculated, a second difference between the third product and the second ratio is calculated, and the second difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment;

[0194] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the third interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be 0;

[0195] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the fourth interval, the third difference between the lower limit of the electricity price increase and the upper limit of the electricity price increase is calculated, the inverse of the third difference is obtained to obtain a third ratio, the fourth product of the third ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, the fourth ratio between the lower limit of the electricity price increase and the third difference is calculated, the fourth difference between the fourth product and the fourth ratio is calculated, and the fourth difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment;

[0196] If the adjusted estimated regulated electricity price of any charging station at the current moment falls into the fourth interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be -1.

[0197] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0198] Get the remaining power percentage of any electric car at the current moment;

[0199] According to the remaining power percentage of any electric vehicle at the current moment, the charging willingness value of any electric vehicle at the current moment is determined.

[0200] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0201] Obtain the total number of electric vehicles charged at a target historical moment in a preset area; the target historical moment is a moment in a historical time period, the current moment is a moment in the current time period, the length of the historical time period is the same as that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0202] Obtain the charging power of each electric vehicle that is charged at a target historical moment in a preset area;

[0203] The charging power of each electric vehicle charged at the target historical moment in the preset area is summed to obtain a third summation result;

[0204] A fifth ratio of the third summation result to the total number of electric vehicles charged in the preset area at the target historical moment is obtained, and the fifth ratio is used as a reference value of the charging power of a single electric vehicle.

[0205] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0206] Get the regional active power of the preset regional target historical moment; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the length of the historical time period is the same as that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0207] Obtaining a sixth ratio of regional active power to power factor at a preset regional target historical moment;

[0208] Obtaining a seventh ratio of the sixth ratio to the feeder capacity of the preset area;

[0209] Determine the interval that the seventh ratio falls into; the seventh ratio is pre-divided into three different intervals, the three different intervals are a sixth interval, a seventh interval and an eighth interval, the sixth interval is determined by the load factor lower limit value and the load factor upper limit value, the seventh interval is determined by the load factor upper limit value and positive infinity, and the eighth interval is determined by negative infinity and the load factor lower limit value;

[0210] If the seventh ratio falls within the sixth interval, the electricity price control judgment factor is determined to be 0;

[0211] If the seventh ratio falls into the seventh interval or the eighth interval, the electricity price control judgment factor is determined to be 1.

[0212] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0213] For any load fluctuation value before and after the electricity price regulation corresponding to the adjusted estimated regulated electricity price, obtain the regional active power at the preset regional target historical moment and the regional active power at the previous historical moment of the preset regional target historical moment; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the length of the historical time period is consistent with that of the current time period and the time division method is the same, and the value of the current moment is the same as that of the target historical moment;

[0214] Obtaining a fifth difference between the regional active power at a preset regional target historical moment and the regional active power at a previous historical moment before the preset regional target historical moment;

[0215] Obtaining a sum of the fifth difference and an estimated active power change value at the current moment corresponding to any adjusted estimated regulated electricity price;

[0216] Obtain the absolute value of the eighth ratio of the sum value to the regional active power at the previous historical moment of the preset regional target historical moment, and use the absolute value of the eighth ratio as the load fluctuation value before and after the electricity price control corresponding to any adjusted estimated regulated electricity price.

[0217] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0218] Adjust the estimated regulated electricity price at the current moment of each charging station in the preset area, and determine the estimated value of the active power change at the current moment according to the adjusted estimated regulated electricity price; wherein each adjusted estimated regulated electricity price must meet the preset conditions, and the preset conditions include that each adjusted estimated regulated electricity price is within the preset range;

[0219] Determine the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment according to the estimated active power change estimate at the current moment corresponding to the estimated regulated electricity price after each adjustment;

[0220] The execution electricity price of each charging station at the next moment is determined according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation.

[0221] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0222] Determine the impact coefficient corresponding to the estimated regulated electricity price adjusted at the current moment for each charging station;

[0223] For any electric vehicle that is closest to any charging station at the current moment, the charging service judgment factor corresponding to any electric vehicle at the current moment, the charging willingness value of any electric vehicle, and the influence coefficient corresponding to the estimated regulated electricity price adjusted at any charging station at the current moment are multiplied in sequence to obtain the first product of any electric vehicle;

[0224] Superimpose the first products corresponding to each electric vehicle that is closest to any charging station at the current moment to obtain a first summation result corresponding to any charging station;

[0225] The first summation result corresponding to each charging station is superimposed to obtain a second summation result;

[0226] The second summation result, the reference value of the charging power of a single electric vehicle and the electricity price control judgment factor are multiplied in sequence to obtain a second product, and the second product is used as the estimated value of the active power change at the current moment.

[0227] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0228] For any charging station, determine the interval into which the estimated regulated electricity price of any charging station after adjustment at the current moment falls; the estimated regulated electricity price is pre-divided into 5 different intervals, and the 5 different intervals are respectively a first interval, a second interval, a third interval, a fourth interval and a fifth interval, the first interval is determined by negative infinity and the lower limit of the electricity price reduction, the second interval is determined by the lower limit of the electricity price reduction and the upper limit of the electricity price reduction, the third interval is determined by the upper limit of the electricity price reduction and the lower limit of the electricity price increase, the fourth interval is determined by the lower limit of the electricity price increase and the upper limit of the electricity price increase, and the fifth interval is determined by the upper limit of the electricity price increase and positive infinity;

[0229] If the estimated regulated electricity price of any charging station at the current moment falls into the first interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be 1;

[0230] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls within the second interval, a first difference between the lower limit of the electricity price reduction and the upper limit of the electricity price reduction is calculated, the inverse of the first difference is obtained to obtain a first ratio, a third product of the first ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, a second ratio between the upper limit of the electricity price reduction and the first difference is calculated, a second difference between the third product and the second ratio is calculated, and the second difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment;

[0231] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the third interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be 0;

[0232] If the estimated regulated electricity price of any charging station after adjustment at the current moment falls into the fourth interval, the third difference between the lower limit of the electricity price increase and the upper limit of the electricity price increase is calculated, the inverse of the third difference is obtained to obtain a third ratio, the fourth product of the third ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, the fourth ratio between the lower limit of the electricity price increase and the third difference is calculated, the fourth difference between the fourth product and the fourth ratio is calculated, and the fourth difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment;

[0233] If the adjusted estimated regulated electricity price of any charging station at the current moment falls into the fourth interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be -1.

[0234] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0235] Get the remaining power percentage of any electric car at the current moment;

[0236] According to the remaining power percentage of any electric vehicle at the current moment, the charging willingness value of any electric vehicle at the current moment is determined.

[0237] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0238] Obtain the total number of electric vehicles charged at a target historical moment in a preset area; the target historical moment is a moment in a historical time period, the current moment is a moment in the current time period, the length of the historical time period is the same as that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0239] Obtain the charging power of each electric vehicle that is charged at a target historical moment in a preset area;

[0240] The charging power of each electric vehicle charged at the target historical moment in the preset area is summed to obtain a third summation result;

[0241] A fifth ratio of the third summation result to the total number of electric vehicles charged in the preset area at the target historical moment is obtained, and the fifth ratio is used as a reference value of the charging power of a single electric vehicle.

[0242] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0243] Get the regional active power of the preset regional target historical moment; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the length of the historical time period is the same as that of the current time period, and the time division method is the same, and the current moment has the same value as the target historical moment;

[0244] Obtaining a sixth ratio of regional active power to power factor at a preset regional target historical moment;

[0245] Obtaining a seventh ratio of the sixth ratio to the feeder capacity of the preset area;

[0246] Determine the interval that the seventh ratio falls into; the seventh ratio is pre-divided into three different intervals, the three different intervals are a sixth interval, a seventh interval and an eighth interval, the sixth interval is determined by the load factor lower limit value and the load factor upper limit value, the seventh interval is determined by the load factor upper limit value and positive infinity, and the eighth interval is determined by negative infinity and the load factor lower limit value;

[0247] If the seventh ratio falls within the sixth interval, the electricity price control judgment factor is determined to be 0;

[0248] If the seventh ratio falls into the seventh interval or the eighth interval, the electricity price control judgment factor is determined to be 1.

[0249] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0250] For any load fluctuation value before and after the electricity price regulation corresponding to the adjusted estimated regulated electricity price, obtain the regional active power at the preset regional target historical moment and the regional active power at the previous historical moment of the preset regional target historical moment; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the length of the historical time period is consistent with that of the current time period and the time division method is the same, and the value of the current moment is the same as that of the target historical moment;

[0251] Obtaining a fifth difference between the regional active power at a preset regional target historical moment and the regional active power at a previous historical moment before the preset regional target historical moment;

[0252] Obtaining a sum of the fifth difference and an estimated active power change value at the current moment corresponding to any adjusted estimated regulated electricity price;

[0253] Obtain the absolute value of the eighth ratio of the sum value to the regional active power at the previous historical moment of the preset regional target historical moment, and use the absolute value of the eighth ratio as the load fluctuation value before and after the electricity price control corresponding to any adjusted estimated regulated electricity price.

[0254] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0255] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0256] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for regulating the electricity price of electric vehicles, characterized in that: The method comprises: Adjust the estimated regulated electricity price of each charging station in the preset area at the current moment, and determine the impact coefficient corresponding to the estimated regulated electricity price of each charging station after adjustment at the current moment; For any electric vehicle that is closest to any charging station at the current moment, the charging service judgment factor corresponding to any electric vehicle at the current moment, the charging willingness value of any electric vehicle, and the influence coefficient corresponding to the estimated regulated electricity price adjusted at the current moment of any charging station are multiplied in sequence to obtain a first product of any electric vehicle; Superimposing the first products corresponding to each electric vehicle that is closest to any one of the charging stations at the current moment to obtain a first summation result corresponding to any one of the charging stations; The first summation result corresponding to each charging station is superimposed to obtain a second summation result; The second summation result, the reference value of the charging power of a single electric vehicle and the electricity price control judgment factor are multiplied in sequence to obtain a second product, and the second product is used as the estimated value of the active power change at the current moment; wherein each adjusted estimated control electricity price must meet a preset condition, and the preset condition includes that each adjusted estimated control electricity price is within a preset range; according to the estimated value of the active power change at the current moment corresponding to each adjusted estimated control electricity price, the load fluctuation value before and after the electricity price control corresponding to each adjusted estimated control electricity price is determined; Determine the execution electricity price of each charging station at the next moment according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation; The formula corresponding to the process of determining the influence coefficient corresponding to the estimated regulated electricity price adjusted at each charging station at the current moment is: Among them, x is the estimated regulated electricity price of any charging station after adjustment at the current moment, is the influence coefficient of the estimated regulated electricity price of any charging station at the current time, The value of is in the interval [-1,1]. The lower limit of the electricity price reduction. The upper limit of the electricity price reduction. The lower limit of the electricity price increase. is the upper limit of the electricity price increase. = -1 indicates that electric car owners are inevitably affected by changes in electricity prices and have no intention to charge. =1 indicates that the electric car owner is willing to charge. =0 indicates that changes in electricity prices do not affect the charging willingness of electric vehicle owners.

2. The method according to claim 1, characterized in that The determining of the influence coefficient corresponding to the estimated regulated electricity price adjusted at the current moment for each charging station includes: For any charging station, determine the interval into which the estimated regulated electricity price of any charging station after adjustment at the current moment falls; the estimated regulated electricity price is pre-divided into 5 different intervals, and the 5 different intervals are respectively a first interval, a second interval, a third interval, a fourth interval and a fifth interval, the first interval is determined by negative infinity and the lower limit value of the electricity price reduction, the second interval is determined by the lower limit value of the electricity price reduction and the upper limit value of the electricity price reduction, the third interval is determined by the upper limit value of the electricity price reduction and the lower limit value of the electricity price increase, the fourth interval is determined by the lower limit value of the electricity price increase and the upper limit value of the electricity price increase, and the fifth interval is determined by the upper limit value of the electricity price increase and positive infinity; If the estimated regulated electricity price of any charging station adjusted at the current moment falls within the first interval, determining the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment to be 1; If the estimated regulated electricity price of any charging station after adjustment at the current moment falls within the second interval, a first difference between the lower limit of the electricity price reduction and the upper limit of the electricity price reduction is calculated, the inverse of the first difference is obtained to obtain a first ratio, a third product of the first ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, a second ratio between the upper limit of the electricity price reduction and the first difference is calculated, a second difference between the third product and the second ratio is calculated, and the second difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment; If the estimated regulated electricity price of any charging station adjusted at the current moment falls within the third interval, determining the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment to be 0; If the estimated regulated electricity price of any charging station after adjustment at the current moment falls within the fourth interval, a third difference between the lower limit of the electricity price increase and the upper limit of the electricity price increase is calculated, the inverse of the third difference is obtained to obtain a third ratio, a fourth product of the third ratio and the estimated regulated electricity price of any charging station at the current moment is calculated, a fourth ratio between the lower limit of the electricity price increase and the third difference is calculated, a fourth difference between the fourth product and the fourth ratio is calculated, and the fourth difference is used as the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment; If the adjusted estimated regulated electricity price of any charging station at the current moment falls within the fourth interval, the influence coefficient corresponding to the estimated regulated electricity price of any charging station at the current moment is determined to be -1.

3. The method according to claim 1, characterized in that The process of determining the charging willingness value of any electric vehicle at the current moment includes: Obtaining the remaining power percentage of any electric vehicle at the current moment; The charging willingness value of any electric vehicle at the current moment is determined according to the remaining power percentage of any electric vehicle at the current moment.

4. The method according to claim 1, characterized in that: The process of determining the reference value of charging power of a single electric vehicle includes: Obtain the total number of electric vehicles charged at a target historical moment in the preset area; the target historical moment is a moment in a historical time period, the current moment is a moment in a current time period, the historical time period and the current time period have the same length and the same time division method, and the current moment has the same value as the target historical moment; Obtaining the charging power of each electric vehicle that is charged at the target historical moment in the preset area; Summing the charging power of each electric vehicle charged at the target historical moment in the preset area to obtain a third summation result; A fifth ratio of the third summation result to the total number of electric vehicles charged in the preset area at the target historical moment is obtained, and the fifth ratio is used as a reference value of the charging power of the single electric vehicle.

5. The method according to claim 1, characterized in that The process of determining the electricity price regulation judgment factor includes: Obtaining the regional active power at the preset regional target historical moment; the target historical moment is a moment in a historical time period, the current moment is a moment in a current time period, the historical time period is consistent in length with the current time period and has the same time division method, and the current moment has the same value as the target historical moment; Obtaining a sixth ratio of regional active power to power factor at the preset regional target historical moment; Obtaining a seventh ratio of the sixth ratio to the feeder capacity of the preset area; Determine the interval into which the seventh ratio falls; the seventh ratio is pre-divided into three different intervals, the three different intervals are a sixth interval, a seventh interval and an eighth interval, the sixth interval is determined by a load factor lower limit value and a load factor upper limit value, the seventh interval is determined by the load factor upper limit value and positive infinity, and the eighth interval is determined by negative infinity and the load factor lower limit value; If the seventh ratio falls within the sixth interval, the electricity price control judgment factor is determined to be 0; If the seventh ratio falls within the seventh interval or the eighth interval, the electricity price control determination factor is determined to be 1.

6. The method according to claim 1, characterized in that The step of determining the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment according to the estimated active power change value at the current moment corresponding to the estimated regulated electricity price after each adjustment comprises: For any load fluctuation value before and after the electricity price regulation corresponding to the adjusted estimated regulated electricity price, the regional active power of the preset regional target historical moment and the regional active power of the preset regional target historical moment at the previous historical moment are obtained; the target historical moment is a moment in the historical time period, the current moment is a moment in the current time period, the historical time period is consistent with the current time period in length and has the same time division method, and the current moment has the same value as the target historical moment; Obtaining a fifth difference between the regional active power of the preset region at the target historical moment and the regional active power of the preset region at the previous historical moment before the target historical moment; Obtaining a sum of the fifth difference and the estimated active power change value at the current moment corresponding to any adjusted estimated regulated electricity price; Obtain the absolute value of the eighth ratio of the sum value to the regional active power at the previous historical moment of the target historical moment in the preset area, and use the absolute value of the eighth ratio as the load fluctuation value before and after the electricity price control corresponding to any adjusted estimated regulated electricity price.

7. An electric vehicle electricity price control device, characterized in that: The device comprises: A first determination module is used to adjust the estimated regulated electricity price of each charging station in the preset area at the current moment, and determine the influence coefficient corresponding to the estimated regulated electricity price of each charging station after adjustment at the current moment; For any electric vehicle that is closest to any charging station at the current moment, the charging service judgment factor corresponding to any electric vehicle at the current moment, the charging willingness value of any electric vehicle, and the influence coefficient corresponding to the estimated regulated electricity price adjusted at the current moment of any charging station are multiplied in sequence to obtain a first product of any electric vehicle; Superimposing the first products corresponding to each electric vehicle that is closest to any one of the charging stations at the current moment to obtain a first summation result corresponding to any one of the charging stations; The first summation result corresponding to each charging station is superimposed to obtain a second summation result; The second summation result, the reference value of the charging power of a single electric vehicle and the electricity price regulation judgment factor are multiplied in sequence to obtain a second product, and the second product is used as the estimated value of the active power change at the current moment; wherein each adjusted estimated regulated electricity price must meet a preset condition, and the preset condition includes that each adjusted estimated regulated electricity price is within a preset range; A second determination module is used to determine the load fluctuation value before and after the electricity price regulation corresponding to the estimated regulated electricity price after each adjustment according to the estimated active power change value at the current moment corresponding to the estimated regulated electricity price after each adjustment; The third determination module is used to determine the execution electricity price of each charging station at the next moment according to the estimated regulated electricity price of each charging station at the current moment corresponding to the minimum value of the load fluctuation values ​​before and after all electricity price regulation; wherein the formula corresponding to the process of determining the influence coefficient corresponding to the estimated regulated electricity price adjusted at the current moment of each charging station is: Among them, x is the estimated regulated electricity price of any charging station after adjustment at the current moment, is the influence coefficient of the estimated regulated electricity price of any charging station at the current time, The value of is in the interval [-1,1]. The lower limit of the electricity price reduction. The upper limit of the electricity price reduction. The lower limit of the electricity price increase. is the upper limit of the electricity price increase. =-1, it means that electric car owners will inevitably be affected by changes in electricity prices and have no intention to charge. =1 means the electric car owner is willing to charge. =0, it means that changes in electricity prices do not affect the charging willingness of electric vehicle owners.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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