Charging station load adjustment strategy for spot market transaction

Abstract

The invention discloses a charging station load adjustment strategy for spot market transaction, and the strategy comprises the steps: obtaining an expected charging time period of a user, and estimating the spot electricity price of each unit time period of the next day according to the expected charging time period; obtaining the expected charging cost of the user, and judging whether the spot electricity price of the expected charging time period meets the expected charging cost of the user or not; if yes, generating a charging station load adjustment strategy according to the corresponding expected charging time period to guide the user to perform charging transaction in the corresponding expected charging time period; if not, generating dissatisfaction detailed information and feeding back the dissatisfaction detailed information to the user, meanwhile, estimating the spot electricity price of each unit time period of the next day, and judging whether the spot electricity price of each unit time period of the next day meets the expected charging cost of the user or not; if yes, generating a charging station load adjustment strategy according to the corresponding unit time period to recommend the user to perform charging transaction in the corresponding unit time period; according to the invention, through adjusting the charging load strategy, the interests between the charging station and the electricity selling company are enabled to meet positive gaming.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric vehicle charging, and in particular relates to a charging station load adjustment strategy for spot market transactions. Background Art

[0002] The environmental and economic benefits of electric vehicles are obvious, but as electric vehicles gradually increase their market share, the impact of their access to the power grid cannot be ignored. The charging load of electric vehicles is very different from other traditional power loads in the power system. In the absence of a reasonable scheduling strategy, especially in the case of concentrated high-power charging and peak charging scenarios, users' random charging behavior is very likely to cause the power grid to "peak on peak" or even generate new peak electricity consumption, increasing the burden on the power system and possibly directly causing the power grid to paralyze.

[0003] At the same time, charging during peak hours of power consumption in the power grid also causes charging users to bear higher charging expenses, which in turn easily reduces the attractiveness of charging stations and increases the operating risks of charging stations. In the existing technology, there is no more suitable electricity purchasing plan to reduce the operating risks of charging stations. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a load adjustment strategy for charging stations for spot market transactions, by proposing a parity electricity purchase method suitable for charging stations, that is, the power sales company purchases electricity in the electricity wholesale market, and then resells the electricity to the charging station at a fixed retail electricity price, thereby reducing the operating risk of the charging station with a fixed electricity price.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A charging station load adjustment strategy for spot market transactions, including:

[0007] Obtain the user's expected charging time period to estimate the spot electricity price of each unit time period the next day based on the expected charging time period;

[0008] Obtain the user's expected charging cost and determine whether the spot electricity price during the expected charging period meets the user's expected charging cost;

[0009] If satisfied, a charging station load adjustment strategy is generated according to the corresponding expected charging period to guide users to conduct charging transactions during the corresponding expected charging period;

[0010] If not, detailed information of the dissatisfaction is generated and fed back to the user. At the same time, the spot electricity price of each unit time period on the next day is estimated to determine whether the spot electricity price of each unit time period on the next day meets the user's expected charging cost. If satisfied, a charging station load adjustment strategy is generated according to the corresponding unit time period to recommend users to conduct charging transactions in the corresponding unit time period.

[0011] Furthermore, the user's expected charging time period is obtained to estimate the spot electricity price of each unit time period according to the expected charging time period, including:

[0012] Based on the spot electricity prices of each unit time period in the whole network in history, the BP neural network is used to predict the spot electricity prices of each unit time period in the whole network for the next day, and the estimated spot electricity prices of each unit time period in the next day are obtained;

[0013] The user's expected charging time period is obtained, and matched with the estimated spot electricity price of each unit time period on the next day, so as to obtain the spot electricity price of each unit time period of the user's expected charging time period on the next day.

[0014] Further, obtaining the user's expected charging cost and determining whether the spot electricity price during the expected charging period meets the user's expected charging cost include:

[0015] Step 1: Obtain the user's expected charging cost; wherein the user's expected charging cost includes the time required to charge the vehicle and the expected total cost;

[0016] Step 2: Determine the expected electricity price per unit time period based on the time required to charge the vehicle and the expected total cost;

[0017] Step 3: Obtain the spot electricity price of each unit time period within the expected charging period, and determine whether the spot electricity price of each unit time period is less than or equal to the expected electricity price, and integrate all unit time periods whose spot electricity prices are less than or equal to the expected electricity price as candidate time periods;

[0018] Step 4: Determine whether the time corresponding to the alternative time period is greater than the time required to charge the vehicle. If so, go to step 8; if not, go to step 5.

[0019] Step 5: Determine the remaining cost according to the difference between the total alternative cost and the expected total cost when charging transactions are carried out in all alternative time periods, and obtain the other unit time periods of the non-alternative time period, sort them in order from low to high according to the spot electricity price, and calculate the nth real-time cost of charging transactions in all unit time periods with a sorting sequence number less than or equal to n; wherein the initial value of n is 1, and n is a positive integer;

[0020] Step 6: Determine whether the nth real-time cost is less than or equal to the remaining cost. If not, go to step 9. If yes, go to step 7.

[0021] Step 7: Determine whether the sum of the time corresponding to the candidate time period and the time corresponding to the nth real-time cost is greater than the time required to charge the vehicle. If so, proceed to step 8; if not, go to step 5 and add one to n.

[0022] Step 8: Determine whether the spot electricity price during the expected charging period meets the user's expected charging cost;

[0023] Step 9: Determine that the spot electricity price during the expected charging period does not meet the user's expected charging cost.

[0024] Furthermore, the expected electricity price per unit time period is determined according to the time required for charging the vehicle and the expected total cost, including:

[0025]

[0026] Among them, D t represents the expected electricity price per unit time period, T represents the time required to charge the vehicle, C represents the expected total cost, and t represents the preset unit time period.

[0027] Furthermore, a charging station load adjustment strategy is generated according to the corresponding expected charging period to guide the user to conduct charging transactions in the corresponding expected charging period, including:

[0028] Obtain the corresponding expected charging period when the spot electricity price of the expected charging period meets the user's expected charging cost, and the charging station load adjustment rules preset by the user, to generate charging station charging strategies for multiple vehicles to be charged in different unit time periods;

[0029] According to the charging strategy of the charging station, the user is guided to drive the corresponding vehicle to be charged to conduct charging transactions during the corresponding expected charging period.

[0030] Furthermore, a charging station load adjustment strategy for spot market transactions also includes:

[0031] Set up a reservation charging device at the charging station in advance;

[0032] When the user drives the corresponding vehicle to be charged and connects it to the charging device of the charging station during a non-corresponding expected charging period, the reserved charging device and the charging station charging strategy are used to assist the vehicle to be charged to complete automatic charging during the corresponding expected charging period.

[0033] Furthermore, detailed information of unsatisfactory information is generated and fed back to the user, including:

[0034] When the spot electricity price of the expected charging period does not meet the user's expected charging cost, all alternative periods and corresponding spot electricity prices, as well as the nth real-time cost and corresponding unit period are obtained to fill in the preset feedback form, and generate unsatisfactory detailed information feedback to the user.

[0035] Furthermore, the spot electricity price of each unit time period of the next day is estimated to determine whether the spot electricity price of each unit time period of the next day meets the user's expected charging cost, including:

[0036] Step 11: Obtain the expected electricity price per unit time period, and calculate the difference between all candidate time periods and the time required for charging the vehicle as the time to be planned;

[0037] Step 12: Obtain the spot electricity price of each unit time period in the non-expected charging period, and determine whether the spot electricity price of each unit time period is less than or equal to the expected electricity price, and integrate all unit time periods whose spot electricity prices are less than or equal to the expected electricity price as the second candidate time period;

[0038] Step 13, determine whether the time corresponding to the second candidate time period is greater than the time to be planned, if so, go to step 17, if not, execute step 14;

[0039] Step 14: Calculate the sum of the second total alternative cost and the total alternative cost when charging transactions are carried out in all second alternative time periods as the actual cost, determine the second remaining cost according to the difference between the actual cost and the expected total cost, and obtain other non-second alternative time periods in the non-expected charging time period, sort them in order from low to high according to the spot electricity price, and calculate the mth real-time total cost when charging transactions are carried out in all unit time periods with sorting numbers less than or equal to m; wherein the initial value of m is 1, and m is a positive integer;

[0040] Step 15, determine whether the mth real-time total cost is less than or equal to the second remaining cost, if not, go to step 18, if yes, go to step 16;

[0041] Step 16, determine whether the sum of the time corresponding to the second candidate time period and the time corresponding to the mth real-time total cost is greater than the time required for charging. If so, execute step 17; if not, go to step 14 and add one to m.

[0042] Step 17: Determine whether the spot electricity price for each unit period of the next day meets the user's expected charging cost;

[0043] Step 18: Determine whether the spot electricity price in each unit time period of the next day does not meet the user's expected charging cost.

[0044] Furthermore, a charging station load adjustment strategy is generated according to the corresponding unit time period to recommend users to conduct charging transactions in the corresponding unit time period, including:

[0045] Obtain the next day's spot electricity price for each unit time period that meets the user's expected charging cost, and the user's pre-set charging station load adjustment rules, to generate charging station charging strategies for multiple vehicles to be charged in different unit time periods;

[0046] According to the charging strategy of the charging station, the user is guided to drive the corresponding vehicle to be charged to conduct charging transactions in the corresponding unit time period.

[0047] The beneficial effects of the present invention are:

[0048] The present invention proposes a charging station load adjustment strategy for spot market transactions. By proposing a parity electricity purchase method suitable for charging stations, that is, the power sales company purchases electricity in the electricity wholesale market, and then resells the electricity to the charging station at a fixed retail electricity price, the operating risk of the charging station is reduced by the fixed electricity price. This solves the problem that there is no relatively suitable load adjustment strategy for charging stations and electric vehicles in the prior art. On the premise of not harming the interests of electricity buyers, charging load adjustment suggestions are provided, thereby increasing the purchase and sale price difference income of the power sales company itself, so that the interests between the charging station and the power sales company meet the positive-sum game.

[0049] Other advantages, objectives and features of the present invention will be described in the following description and will be apparent to those skilled in the art to some extent, or they may be taught from the practice of the present invention. The purposes and other advantages of the present invention may be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0050] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0052] Figure 1 This is a method flow chart of a charging station load adjustment strategy for spot market transactions in an embodiment of the present invention;

[0053] Figure 2 This is a flow chart of a judgment process for judging whether the spot electricity price in the expected charging period meets the user's expected charging cost in a charging station load adjustment strategy for spot market transactions in an embodiment of the present invention;

[0054] Figure 3 The present invention is a flowchart of a judgment process for judging whether the spot electricity price of each unit time period of the next day meets the user's expected charging cost in a charging station load adjustment strategy for spot market transactions in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] like Figure 1 As shown, the present invention proposes a charging station load adjustment strategy for spot market transactions, including:

[0057] S101, obtaining the user's expected charging time period, so as to estimate the spot electricity price of each unit time period of the next day according to the expected charging time period;

[0058] S102, obtaining the user's expected charging cost, and determining whether the spot electricity price during the expected charging period meets the user's expected charging cost;

[0059] S103: If the conditions are met, a charging station load adjustment strategy is generated according to the corresponding expected charging period to guide the user to conduct charging transactions during the corresponding expected charging period;

[0060] S104, if not satisfied, generating detailed information of the unsatisfactory situation and feeding it back to the user, and at the same time, estimating the spot electricity price of each unit time period of the next day, and judging whether the spot electricity price of each unit time period of the next day meets the user's expected charging cost;

[0061] S105. If the conditions are met, a charging station load adjustment strategy is generated according to the corresponding unit time period to recommend the user to conduct charging transactions in the corresponding unit time period;

[0062] The working principle of the above technical solution is: by proposing a parity electricity purchase method suitable for charging stations (because such users have a certain ability to adjust electricity consumption), that is, the power sales company purchases electricity in the electricity wholesale market, and then resells the electricity to the charging station at a fixed retail electricity price, and reduces the operating risk of the charging station with a fixed electricity price, so as to provide charging load adjustment suggestions without damaging the interests of electricity buyers, thereby increasing the power sales company's own purchase and sale price difference income, and solving the problem that there is no more suitable load adjustment strategy for charging stations and electric vehicles in the prior art, thereby realizing the coordination between charging stations and power sales companies. The inter-interest satisfaction positive-sum game provides a load adjustment strategy; first, the user's expected charging period is obtained, such as 17:00-22:00 after get off work, or the early morning period, etc., and then the spot electricity price of each unit period of the next day is estimated according to the expected charging period. The specific estimation method is not limited. This solution preferably uses the BP neural network to predict the spot electricity price of the next day; then the user's expected charging cost is obtained, that is, the total cost the user expects to pay, such as the contract amount in the contract signed with the power sales company, and it is determined whether the spot electricity price of the expected charging period meets the user's expected charging cost, that is, it is determined whether the expected charging period meets the user's expected charging cost. Whether the charging transaction specified in the contract can be completed during the charging period; if the spot electricity price during the expected charging period meets the user's expected charging cost, a charging station load adjustment strategy is generated according to the corresponding expected charging period to guide the user to conduct charging transactions during the corresponding expected charging period. The feedback methods of the charging station load adjustment strategy include but are not limited to APP push, traffic light switching, etc.; if the spot electricity price during the expected charging period does not meet the user's expected charging cost, detailed information on the unsatisfactory situation is generated and fed back to the user. The push methods include but are not limited to APP push, report fax, etc. At the same time, the spot electricity price during the expected charging period When the price does not meet the user's expected charging cost, the spot electricity price of each unit time period of the next day is estimated to determine whether the spot electricity price of each unit time period of the next day meets the user's expected charging cost. If the spot electricity price of each unit time period of the next day meets the user's expected charging cost, a charging station load adjustment strategy is generated according to the corresponding unit time period to recommend the user to conduct charging transactions in the corresponding unit time period. The unit time period is based on the price change period of the spot market, preferably 15 minutes or 1 hour. If the spot electricity price of each unit time period of the next day does not meet the user's expected charging cost, feedback information is sent to the user to assist the user in re-determining the expected charging cost;

[0063] The beneficial effects of the above technical solution are as follows: through the above technical solution, the problem that there is no relatively suitable load adjustment strategy for charging stations and electric vehicles in the prior art is solved. Without damaging the interests of electricity buyers, charging load adjustment suggestions are provided, thereby increasing the purchase and sales price difference income of the power sales company itself, so that the interests between the charging stations and the power sales company satisfy the positive-sum game.

[0064] In one embodiment, obtaining the user's expected charging time period to estimate the spot electricity price of each unit time period according to the expected charging time period includes:

[0065] Based on the spot electricity prices of each unit time period in the whole network in history, the BP neural network is used to predict the spot electricity prices of each unit time period in the whole network for the next day, and the estimated spot electricity prices of each unit time period in the next day are obtained;

[0066] Obtain the user's expected charging time period, match it with the estimated spot electricity price of each unit time period on the next day, and obtain the spot electricity price of each unit time period of the user's expected charging time period on the next day;

[0067] The working principle of the above technical solution is as follows: before estimating the spot electricity price of each unit time period on the next day, the spot electricity price of each unit time period in the history of the entire network is obtained in advance through the network, electricity price database call, etc., and then the spot electricity price of each unit time period in the history of the entire network is used as a basis, and the spot electricity price of each unit time period in the entire network on the next day is predicted through the BP neural network to obtain the estimated spot electricity price of each unit time period on the next day. The method of using the existing data as a basis and using the BP neural network to predict the corresponding future data is a common method used by technical personnel in this field, and will not be repeated here; then the user's expected charging time period is obtained to match the estimated spot electricity price of each unit time period on the next day. The matching refers to the time period matching of the expected charging time period and each unit time period on the next day, and the estimated spot electricity price corresponding to the successfully matched unit time period is assigned to the corresponding user's expected charging time period; finally, the spot electricity price of each unit time period of the user's expected charging time period on the next day is obtained by matching;

[0068] The beneficial effect of the above technical solution is: through the above technical solution, the spot electricity price of each unit period of the expected charging period is estimated, which is beneficial to improving the rationality and efficiency of the subsequent load adjustment strategy of the charging station.

[0069] like Figure 2 As shown, in one embodiment, obtaining the user's expected charging cost and determining whether the spot electricity price in the expected charging period meets the user's expected charging cost include:

[0070] Step 1: Obtain the user's expected charging cost; wherein the user's expected charging cost includes the time required to charge the vehicle and the expected total cost;

[0071] Determine the expected electricity price per unit time period based on the time required to charge the vehicle and the expected total cost, including:

[0072]

[0073] Among them, D trepresents the expected electricity price per unit time period, T represents the time required to charge the vehicle, which is preferably determined by calculating the number of vehicles, the number of charging piles, and the charging time of a single vehicle, C represents the expected total cost, and t represents a preset unit time period, which is preferably 15 minutes or 1 hour;

[0074] Step 2: Determine the expected electricity price per unit time period based on the time required to charge the vehicle and the expected total cost;

[0075] Step 3: Obtain the spot electricity price of each unit time period within the expected charging period, and determine whether the spot electricity price of each unit time period is less than or equal to the expected electricity price, and integrate all unit time periods whose spot electricity prices are less than or equal to the expected electricity price as candidate time periods;

[0076] Step 4: Determine whether the time corresponding to the alternative time period is greater than the time required to charge the vehicle. If so, go to step 8; if not, go to step 5.

[0077] Step 5: Determine the remaining cost according to the difference between the total alternative cost and the expected total cost when charging transactions are carried out in all alternative time periods, and obtain the other unit time periods of the non-alternative time period, sort them in order from low to high according to the spot electricity price, and calculate the nth real-time cost of charging transactions in all unit time periods with a sorting sequence number less than or equal to n; wherein the initial value of n is 1, and n is a positive integer;

[0078] Step 6: Determine whether the nth real-time cost is less than or equal to the remaining cost. If not, go to step 9. If yes, go to step 7.

[0079] Step 7: Determine whether the sum of the time corresponding to the candidate time period and the time corresponding to the nth real-time cost is greater than the time required to charge the vehicle. If so, proceed to step 8; if not, go to step 5 and add one to n.

[0080] Step 8: Determine whether the spot electricity price during the expected charging period meets the user's expected charging cost;

[0081] Step 9: determining that the spot electricity price during the expected charging period does not meet the user's expected charging cost;

[0082] The working principle of the above technical solution is: obtaining the user's expected charging cost to determine the expected electricity price per unit time period according to the time required for charging the vehicle and the expected total cost in the user's expected charging cost, then obtaining the spot electricity price of each unit time period in the expected charging time period, and judging whether the spot electricity price of each unit time period is less than or equal to the expected electricity price, obtaining the unit time period with the spot electricity price less than or equal to the expected electricity price for integration and statistics as the candidate time period, the candidate time period is preferably a time period set, which contains multiple unit time periods that meet the conditions, after determining the candidate time period, judging whether the time corresponding to the candidate time period is greater than the time required for charging the vehicle, that is, judging whether the sum of the time of each unit time period in the candidate time period is greater than the time required for charging the vehicle; if greater, judging that the spot electricity price of the expected charging time period meets the user's expected charging cost, and ending the judgment;

[0083] If not, determine the remaining cost according to the difference between the total alternative cost and the expected total cost when charging transactions are conducted in all alternative time periods, that is, the expected total cost minus the total alternative cost, and obtain other unit time periods of non-alternative time periods and sort them in order from low to high according to the spot electricity price to generate a sorted set, and calculate the first real-time cost of all unit time periods in the sorted set with a sorting sequence number less than or equal to 1 when charging transactions are conducted, and determine whether the first real-time cost is less than or equal to the remaining cost. If the first real-time cost is not less than or equal to the remaining cost, determine that the spot electricity price of the expected charging time period does not meet the user's expected charging cost. If the first real-time cost is less than or equal to the remaining cost, determine whether the sum of the time corresponding to the alternative time period and the time corresponding to the first real-time cost is greater than the time required for charging the vehicle. If the sum of the time corresponding to the alternative time period and the time corresponding to the first real-time cost is greater than the time required for charging the vehicle, determine that the spot electricity price of the expected charging time period meets the user's expected charging cost.

[0084] If the sum of the time corresponding to the alternative time period and the time corresponding to the first real-time cost is not greater than the time required for charging the vehicle, calculate the second real-time cost of charging transactions for all unit time periods in the sorting set whose sorting sequence number is less than or equal to 2, and determine whether the second real-time cost is less than or equal to the remaining cost. If the second real-time cost is not less than or equal to the remaining cost, determine that the spot electricity price of the expected charging time period does not meet the user's expected charging cost. If the second real-time cost is less than or equal to the remaining cost, determine whether the sum of the time corresponding to the alternative time period and the time corresponding to the second real-time cost is greater than the time required for charging the vehicle. If the sum of the time corresponding to the alternative time period and the time corresponding to the second real-time cost is greater than the time required for charging the vehicle, determine that the spot electricity price of the expected charging time period meets the user's expected charging cost.

[0085] Continue the above operation until the nth real-time cost is greater than the remaining cost, or until the sum of the time corresponding to the alternative time period and the time corresponding to the nth real-time cost is greater than the time required to charge the vehicle;

[0086] The beneficial effect of the above technical solution is: through the above technical solution, the optimal charging station load adjustment strategy is formulated for the user for reference according to the user's expected charging period and the user's expected charging cost requirements, providing reliable data support for realizing the positive-sum game of interest satisfaction between charging stations and power sales companies.

[0087] In one embodiment, a charging station load adjustment strategy is generated according to a corresponding expected charging period to guide a user to conduct a charging transaction in the corresponding expected charging period, including:

[0088] Obtain the corresponding expected charging period when the spot electricity price of the expected charging period meets the user's expected charging cost, and the charging station load adjustment rules preset by the user, to generate charging station charging strategies for multiple vehicles to be charged in different unit time periods;

[0089] According to the charging strategy of the charging station, the user is guided to drive the corresponding vehicle to be charged to conduct charging transactions during the corresponding expected charging period;

[0090] The working principle of the above technical solution is: obtaining the corresponding expected charging time period when the spot electricity price of the expected charging time period meets the user's expected charging cost, and the charging station load adjustment rule pre-set by the user, the charging station load adjustment rule includes a time emphasis direction, for example, each unit time period in the corresponding expected charging time period is more focused on the later unit time period, that is, in comparison, between the 17:00-18:00 time period and the 18:00-19:00 time period, the user is more inclined to conduct charging transactions in the 18:00-19:00 time period, based on the above method, generating charging station charging strategies for multiple vehicles to be charged in different unit time periods, the number of the multiple vehicles to be charged is related to the aforementioned user's expected charging cost; finally, according to the charging station charging strategy, the user is guided to drive the corresponding vehicle to be charged to conduct charging transactions in the corresponding expected charging time period;

[0091] The beneficial effect of the above technical solution is: through the above technical solution, users are assisted in performing charging transactions according to the load adjustment strategy of the charging station, reducing the problem of increased charging costs due to user misoperation.

[0092] In one embodiment, a charging station load adjustment strategy for spot market transactions further includes:

[0093] Set up a reservation charging device at the charging station in advance;

[0094] When the user drives the corresponding vehicle to be charged to connect with the charging device of the charging station during the non-corresponding expected charging period, the reserved charging device and the charging station charging strategy are used to assist the vehicle to be charged to complete automatic charging during the corresponding expected charging period;

[0095] The working principle and beneficial effects of the above technical solution are as follows: in order to further reduce the problem of increased charging costs due to user misoperation, the present invention also proposes an automatic charging solution. First, a reserved charging device is pre-set at the charging station. Then, when the user connects the vehicle to the charging device in advance during a non-corresponding expected charging period, the reserved charging device and the charging station charging strategy are used to assist the vehicle to be charged to complete automatic charging during the corresponding expected charging period. By automatically timing charging, the problem of increased charging costs due to user misoperation is further reduced, which is beneficial to improving the execution stability of the load adjustment strategy of the charging station.

[0096] In one embodiment, generating unsatisfactory detailed information feedback to the user includes:

[0097] When the spot electricity price of the expected charging period does not meet the user's expected charging cost, all alternative periods and corresponding spot electricity prices, as well as the nth real-time cost and corresponding unit period are obtained to fill in the preset feedback form, and generate detailed information of unsatisfactory feedback to the user; wherein the format of the preset feedback form is customized by the user, but the bytes in the preset feedback form are fixedly provided by the power sales company;

[0098] It is worth noting that the feedback method that does not meet the detailed information is fed back in a table form. Therefore, when choosing a transmission method, network transmission is preferred to prevent the inability to transmit specific content through the red and green signal light transmission described above;

[0099] The beneficial effect of the above technical solution is: through the above technical solution, the charging transaction information that does not meet the user's requirements will be fed back to the user in the form of a table, which is beneficial to provide data support for the user and the power sales company to pre-agree on the optimal charging station load adjustment strategy.

[0100] like Figure 3 As shown, in one embodiment, estimating the spot electricity price of each unit time period of the next day and determining whether the spot electricity price of each unit time period of the next day meets the user's expected charging cost includes:

[0101] Step 11: Obtain the expected electricity price per unit time period, and calculate the difference between all candidate time periods and the time required for charging the vehicle as the time to be planned;

[0102] Step 12: Obtain the spot electricity price of each unit time period in the non-expected charging period, and determine whether the spot electricity price of each unit time period is less than or equal to the expected electricity price, and integrate all unit time periods whose spot electricity prices are less than or equal to the expected electricity price as the second candidate time period;

[0103] Step 13, determine whether the time corresponding to the second candidate time period is greater than the time to be planned, if so, go to step 17, if not, execute step 14;

[0104] Step 14: Calculate the sum of the second total alternative cost and the total alternative cost when charging transactions are carried out in all second alternative time periods as the actual cost, determine the second remaining cost according to the difference between the actual cost and the expected total cost, and obtain other non-second alternative time periods in the non-expected charging time period, sort them in order from low to high according to the spot electricity price, and calculate the mth real-time total cost when charging transactions are carried out in all unit time periods with sorting numbers less than or equal to m; wherein the initial value of m is 1, and m is a positive integer;

[0105] Step 15, determine whether the mth real-time total cost is less than or equal to the second remaining cost, if not, go to step 18, if yes, go to step 16;

[0106] Step 16, determine whether the sum of the time corresponding to the second candidate time period and the time corresponding to the mth real-time total cost is greater than the time required for charging. If so, execute step 17; if not, go to step 14 and add one to m.

[0107] Step 17: Determine whether the spot electricity price for each unit period of the next day meets the user's expected charging cost;

[0108] Step 18: Determine whether the spot electricity price in each unit time period of the next day does not meet the user's expected charging cost;

[0109] Furthermore, V2G charging piles are pre-set. When the spot electricity prices in each unit time period on the next day do not meet the user's expected charging cost, the power purchase price difference in the user's expected charging period is calculated by using the aforementioned estimated spot electricity price, and the power purchase cost is regulated based on the charging and discharging operations of the electric vehicle, so as to solve the problem that the spot electricity price in the expected charging period does not meet the user's expected charging cost or the spot electricity price in each unit time period on the next day does not meet the user's expected charging cost;

[0110] The working principle of the above technical solution is as follows: the expected electricity price of the unit time period is obtained, and the difference between all the alternative time periods and the time required for charging the vehicle is calculated as the time to be planned, that is, the value of the time required for charging the vehicle minus the sum of the time of all the unit time periods in the alternative time period is used as the time to be planned, and then the spot electricity price of each unit time period in the non-expected charging time period is obtained, and it is judged whether the spot electricity price of each unit time period is less than or equal to the expected electricity price, and at the same time, all the unit time periods whose spot electricity prices are less than or equal to the expected electricity price are integrated as the second alternative time period. The second alternative time period is preferably a time period set, which contains multiple unit time periods that meet the conditions. After determining the second alternative time period, it is judged whether the time corresponding to the second alternative time period is greater than the time to be planned. If the time corresponding to the second alternative time period is greater than the time to be planned, it is judged that The spot electricity price of each unit time period of the next day is determined to meet the user's expected charging cost. If the time corresponding to the second alternative time period is not greater than the time to be planned, the sum of the second total alternative cost and the total alternative cost when charging transactions are carried out in all second alternative time periods is calculated as the actual cost, that is, the sum of the second total alternative cost and the total alternative cost when charging transactions are carried out in all unit time periods in the second alternative time period is taken as the actual cost, and the second remaining cost is determined according to the difference between the actual cost and the expected total cost. Finally, other non-second alternative time periods in the non-expected charging time period are obtained, and the corresponding unit time periods are sorted from low to high according to the spot electricity prices of all unit time periods in other non-second alternative time periods. At the same time, the first real-time total cost of charging transactions in all unit time periods with sorting numbers less than or equal to 1 is calculated;

[0111] Determine whether the first real-time total cost is less than or equal to the second remaining cost. If the first real-time total cost is not less than or equal to the second remaining cost, determine that the spot electricity price of each unit time period on the next day does not meet the user's expected charging cost; if the first real-time total cost is less than or equal to the second remaining cost, determine whether the sum of the sum of all unit time in the second alternative time period and the sum of the time corresponding to the first real-time total cost is greater than the time required for charging. If it is greater than the time required for charging, determine that the spot electricity price of each unit time period on the next day meets the user's expected charging cost;

[0112] If it is not greater than the time required for charging, calculate the second real-time total cost of charging transactions for all unit time periods with a sorting number less than or equal to 2, and determine whether the second real-time total cost is less than or equal to the second remaining cost. If the second real-time total cost is not less than or equal to the second remaining cost, determine that the spot electricity price of each unit time period on the next day does not meet the user's expected charging cost; if the second real-time total cost is less than or equal to the second remaining cost, determine whether the sum of the sum of all unit times in the second alternative time period and the sum of the time corresponding to the second real-time total cost is greater than the time required for charging;

[0113] Continue the above operation until the mth real-time total cost is greater than the second remaining cost, or until the sum of the time corresponding to the alternative time period and the time corresponding to the mth real-time total cost is greater than the time required to charge the vehicle;

[0114] The beneficial effect of the above technical solution is: through the above technical solution, when the user's expected charging period cannot meet the user's expected charging cost requirements, the period judgment standard is actively expanded, and a unit period that meets the corresponding user's expected charging cost requirements is formed for the user to choose, which is beneficial for providing data support for the user and the power sales company to pre-agree on the optimal charging station load adjustment strategy.

[0115] In one embodiment, a charging station load adjustment strategy for spot market transactions generates a charging station load adjustment strategy according to a corresponding unit time period to recommend a user to conduct a charging transaction in the corresponding unit time period, including:

[0116] Obtaining the unit time periods in which the spot electricity price of the next day meets the user's expected charging cost and the charging station load adjustment rules preset by the user, so as to generate charging station charging strategies for multiple vehicles to be charged in different unit time periods; wherein the charging station load adjustment rules are obtained from the same source as the charging station load adjustment rules described above;

[0117] According to the charging strategy of the charging station, guide users to drive the corresponding vehicle to be charged to conduct charging transactions in the corresponding unit time period;

[0118] The beneficial effect of the above technical solution is: through the above technical solution, users are assisted in performing charging transactions according to the load adjustment strategy of the charging station, reducing the problem of increased charging costs due to user misoperation.

[0119] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. A charging station load adjustment strategy for spot market transactions, characterized in that: include: Obtain the user's expected charging time period to estimate the spot electricity price of each unit time period the next day based on the expected charging time period; Obtain the user's expected charging cost and determine whether the spot electricity price during the expected charging period meets the user's expected charging cost; If satisfied, a charging station load adjustment strategy is generated according to the corresponding expected charging period to guide users to conduct charging transactions during the corresponding expected charging period; If not, detailed information on the unsatisfactory condition is generated and fed back to the user. At the same time, the spot electricity price for each unit time period of the next day is estimated to determine whether the spot electricity price for each unit time period of the next day meets the user's expected charging cost; If the conditions are met, a charging station load adjustment strategy is generated according to the corresponding unit time period to recommend users to conduct charging transactions in the corresponding unit time period.

2. A charging station load adjustment strategy for spot market transactions according to claim 1, characterized in that: Obtain the user's expected charging period to estimate the spot electricity price of each unit period according to the expected charging period, including: Based on the spot electricity prices of each unit time period in the whole network in history, the BP neural network is used to predict the spot electricity prices of each unit time period in the whole network for the next day, and the estimated spot electricity prices of each unit time period in the next day are obtained; The user's expected charging time period is obtained, and matched with the estimated spot electricity price of each unit time period on the next day, so as to obtain the spot electricity price of each unit time period of the user's expected charging time period on the next day.

3. A charging station load adjustment strategy for spot market transactions according to claim 1, characterized in that: Obtain the user's expected charging cost and determine whether the spot electricity price during the expected charging period meets the user's expected charging cost, including: Step 1: Obtain the user's expected charging cost; wherein the user's expected charging cost includes the time required to charge the vehicle and the expected total cost; Step 2: Determine the expected electricity price per unit time period based on the time required to charge the vehicle and the expected total cost; Step 3: Obtain the spot electricity price of each unit time period within the expected charging period, and determine whether the spot electricity price of each unit time period is less than or equal to the expected electricity price, and integrate all unit time periods whose spot electricity prices are less than or equal to the expected electricity price as candidate time periods; Step 4: Determine whether the time corresponding to the alternative time period is greater than the time required to charge the vehicle. If so, go to step 8; if not, go to step 5. Step 5: Determine the remaining cost according to the difference between the total alternative cost and the expected total cost when charging transactions are carried out in all alternative time periods, and obtain the other unit time periods of the non-alternative time period, sort them in order from low to high according to the spot electricity price, and calculate the nth real-time cost of charging transactions in all unit time periods with a sorting sequence number less than or equal to n; wherein the initial value of n is 1, and n is a positive integer; Step 6: Determine whether the nth real-time cost is less than or equal to the remaining cost. If not, go to step 9. If yes, go to step 7. Step 7: Determine whether the sum of the time corresponding to the candidate time period and the time corresponding to the nth real-time cost is greater than the time required to charge the vehicle. If so, proceed to step 8; if not, go to step 5 and add one to n. Step 8: Determine whether the spot electricity price during the expected charging period meets the user's expected charging cost; Step 9: Determine that the spot electricity price during the expected charging period does not meet the user's expected charging cost.

4. A charging station load adjustment strategy for spot market transactions according to claim 3, characterized in that: Determine the expected electricity price per unit time period based on the time required to charge the vehicle and the expected total cost, including: Among them, D t represents the expected electricity price per unit time period, T represents the time required to charge the vehicle, C represents the expected total cost, and t represents the preset unit time period.

5. A charging station load adjustment strategy for spot market transactions according to claim 1, characterized in that: Generate a charging station load adjustment strategy according to the corresponding expected charging period to guide users to conduct charging transactions during the corresponding expected charging period, including: Obtain the corresponding expected charging period when the spot electricity price of the expected charging period meets the user's expected charging cost, and the charging station load adjustment rules preset by the user, to generate charging station charging strategies for multiple vehicles to be charged in different unit time periods; According to the charging strategy of the charging station, the user is guided to drive the corresponding vehicle to be charged to conduct charging transactions during the corresponding expected charging period.

6. A charging station load adjustment strategy for spot market transactions according to claim 5, characterized in that: Also includes: Set up a reservation charging device at the charging station in advance; When the user drives the corresponding vehicle to be charged and connects it to the charging device of the charging station during a non-corresponding expected charging period, the reserved charging device and the charging station charging strategy are used to assist the vehicle to be charged to complete automatic charging during the corresponding expected charging period.

7. A charging station load adjustment strategy for spot market transactions according to claim 1 or 3, characterized in that: Generate detailed unsatisfactory feedback to the user, including: When the spot electricity price of the expected charging period does not meet the user's expected charging cost, all alternative periods and corresponding spot electricity prices, as well as the nth real-time cost and corresponding unit period are obtained to fill in the preset feedback form, and generate unsatisfactory detailed information feedback to the user.

8. A charging station load adjustment strategy for spot market transactions according to claim 1 or 3, characterized in that: Estimate the spot electricity price for each unit time period of the next day, and determine whether the spot electricity price for each unit time period of the next day meets the user's expected charging cost, including: Step 11: Obtain the expected electricity price per unit time period, and calculate the difference between all candidate time periods and the time required for charging the vehicle as the time to be planned; Step 12: Obtain the spot electricity price of each unit time period in the non-expected charging period, and determine whether the spot electricity price of each unit time period is less than or equal to the expected electricity price, and integrate all unit time periods whose spot electricity prices are less than or equal to the expected electricity price as the second candidate time period; Step 13, determine whether the time corresponding to the second candidate time period is greater than the time to be planned, if so, go to step 17, if not, execute step 14; Step 14: Calculate the sum of the second total alternative cost and the total alternative cost when charging transactions are carried out in all second alternative time periods as the actual cost, determine the second remaining cost according to the difference between the actual cost and the expected total cost, and obtain other non-second alternative time periods in the non-expected charging time period, sort them in order from low to high according to the spot electricity price, and calculate the mth real-time total cost when charging transactions are carried out in all unit time periods with sorting numbers less than or equal to m; wherein the initial value of m is 1, and m is a positive integer; Step 15, determine whether the mth real-time total cost is less than or equal to the second remaining cost, if not, go to step 18, if yes, go to step 16; Step 16, determine whether the sum of the time corresponding to the second candidate time period and the time corresponding to the mth real-time total cost is greater than the time required for charging. If so, execute step 17; if not, go to step 14 and add one to m. Step 17: Determine whether the spot electricity price for each unit period of the next day meets the user's expected charging cost; Step 18: Determine whether the spot electricity price in each unit time period of the next day does not meet the user's expected charging cost.

9. A charging station load adjustment strategy for spot market transactions according to claim 1, characterized in that: Generate a charging station load adjustment strategy based on the corresponding unit time period to recommend users to conduct charging transactions in the corresponding unit time period, including: Obtain the next day's spot electricity price for each unit time period that meets the user's expected charging cost, and the user's pre-set charging station load adjustment rules, to generate charging station charging strategies for multiple vehicles to be charged in different unit time periods; According to the charging strategy of the charging station, the user is guided to drive the corresponding vehicle to be charged to conduct charging transactions in the corresponding unit time period.

Images