Quotation strategy determination method and device, computer equipment and storage medium

Abstract

The invention provides a quotation strategy determination method and device, computer equipment and a storage medium. According to the method, the historical electricity consumption data of the target user is analyzed, so that the electricity consumption characteristics of the user can be accurately evaluated, the electricity selling income and the electricity purchasing cost are accurately calculated, and the kilowatt-hour electricity income is accurately obtained. And a scientific quotation strategy basis is provided for the aggregator, so that the profit goal can be realized and the market competitiveness can be improved. More importantly, according to the scheme, the quotation space of the target user can be automatically output, complex processes of manual accounting, internal discussion and the like of internal workers of the aggregator are omitted, and the working efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power market, and in particular to a bidding strategy determination method, device, computer equipment and storage medium. Background Art

[0002] With the in-depth development of the power market, more and more aggregators are participating in power market transactions. However, as the transparency of market information increases and power users become more sensitive to electricity prices, aggregators need to spend a lot of energy to determine the bidding strategy. Traditional bidding strategy determination methods are often experience-driven, inefficient, and do not match the power consumption characteristics of users themselves, which is not conducive to the sustainable development of the power market. Summary of the invention

[0003] The purpose of this application is to solve at least one of the above-mentioned technical deficiencies, and in particular to provide a solution for efficiently determining a quotation strategy based on user characteristics.

[0004] In a first aspect, the present application provides a method for determining a quotation strategy, comprising:

[0005] According to the historical electricity consumption data of the target users, the total electricity consumption, peak-period ratio, flat-period ratio and valley-period ratio of the target users are evaluated;

[0006] Determine the fixed price electricity consumption and linkage price electricity consumption based on the total electricity consumption and fixed electricity ratio, and determine the contractual electricity purchase and spot electricity purchase based on the total electricity consumption and contractual electricity purchase ratio;

[0007] The fixed electricity sales revenue is obtained based on the fixed price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the agreed selling price corresponding to each section; the linkage electricity sales revenue is obtained based on the linkage price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the linkage selling price corresponding to each section; and the total electricity sales revenue is obtained based on the fixed electricity sales revenue and the linkage electricity sales revenue;

[0008] The contract power purchase cost is obtained based on the contract power purchase amount and the contract purchase price, the spot power purchase cost is obtained based on the spot power purchase amount and the estimated spot average price, and the total power purchase cost is obtained based on the contract power purchase cost and the spot power purchase cost;

[0009] According to the total electricity purchase cost, total electricity sales income and total electricity consumption, the corresponding electricity income of the target users is obtained;

[0010] If the revenue per kilowatt-hour is higher than the preset profit break-even value, the quotation space will be determined based on the gap between the revenue per kilowatt-hour and the profit break-even value.

[0011] In one embodiment, based on the historical electricity consumption data of the target user, the total electricity consumption, peak period ratio, flat period ratio and valley period ratio of the target user are evaluated, including:

[0012] Obtain multiple historical daily time-sharing data of target users;

[0013] For any time-sharing, extract the historical time-sharing power consumption of the time-sharing in the time-sharing data of each historical day, and obtain the statistical time-sharing power consumption corresponding to the time-sharing according to the extracted historical time-sharing power consumption;

[0014] According to the sum of each statistical time-sharing power consumption, the total power consumption is obtained;

[0015] According to the statistical time-sharing power consumption corresponding to the preset peak time-sharing, the statistical peak power consumption is obtained, and according to the statistical peak power consumption and the total power consumption, the peak ratio is obtained;

[0016] According to the statistical time-sharing power consumption corresponding to the preset flat-segment time-sharing, the statistical flat-segment power consumption is obtained, and according to the statistical flat-segment power consumption and the total power consumption, the flat-segment ratio is obtained;

[0017] According to the statistical time-sharing power consumption corresponding to the preset valley time-sharing, the statistical valley power consumption is obtained, and according to the statistical valley power consumption and the total power consumption, the valley ratio is obtained.

[0018] In one embodiment, the bidding strategy determination method further includes:

[0019] Classify each historical user according to the historical electricity consumption data of multiple historical users, and determine the electricity revenue per kilowatt-hour of each historical user;

[0020] For any category of historical users, the statistical electricity revenue corresponding to the category is obtained based on the electricity revenue of the historical users;

[0021] The categories whose statistical per-kilowatt-hour revenue is greater than the profit balance value are determined as the tendency categories.

[0022] In one embodiment, before evaluating the total power consumption, peak-period ratio, flat-period ratio, and valley-period ratio of the target user based on the historical power consumption data of the target user, the method further includes:

[0023] Classify the optional users according to their historical electricity consumption data;

[0024] If the category of the selectable user belongs to the tendency category, the selectable user is determined as a target user.

[0025] In one embodiment, the fixed electricity sales revenue is obtained according to the fixed price electricity consumption, the peak period ratio, the flat period ratio, the valley period ratio and the agreed selling price corresponding to each period, including:

[0026] The peak-segment fixed price is obtained based on the agreed flat-segment fixed price and the peak-segment coefficient, and the valley-segment fixed price is obtained based on the flat-segment fixed price and the valley-segment coefficient;

[0027] According to the fixed price electricity consumption and the peak period ratio, the peak period fixed price electricity consumption is obtained, and according to the peak period fixed price electricity consumption and the peak period fixed selling price, the peak period fixed electricity sales income is obtained;

[0028] According to the fixed price electricity consumption and the flat section ratio, the flat section fixed price electricity consumption is obtained, and according to the flat section fixed price electricity consumption and the flat section fixed selling price, the flat section fixed electricity sales income is obtained;

[0029] According to the fixed-price electricity consumption and the valley ratio, the valley fixed-price electricity consumption is obtained, and according to the valley fixed-price electricity consumption and the valley fixed selling price, the valley fixed electricity sales revenue is obtained.

[0030] In one embodiment, the linkage electricity sales revenue is obtained according to the linkage price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the linkage selling price corresponding to each section, including:

[0031] The peak-segment linkage selling price is obtained according to the preset flat-segment linkage selling price and the peak-segment coefficient, and the valley-segment linkage selling price is obtained according to the flat-segment linkage selling price and the valley-segment coefficient;

[0032] According to the linkage price electricity consumption and the peak section ratio, the peak section linkage price electricity consumption is obtained, and according to the peak section linkage price electricity consumption and the peak section linkage selling price, the peak section linkage electricity sales revenue is obtained;

[0033] According to the linkage price electricity consumption and the flat section ratio, the flat section linkage price electricity consumption is obtained, and according to the flat section linkage price electricity consumption and the flat section linkage selling price, the flat section linkage electricity sales income is obtained;

[0034] According to the linkage price electricity consumption and the valley ratio, the valley linkage price electricity consumption is obtained, and according to the valley linkage price electricity consumption and the valley linkage selling price, the valley linkage electricity sales revenue is obtained.

[0035] In one of the embodiments, the flat-segment linkage selling price is the previous day's monthly comprehensive market price.

[0036] In a second aspect, the present application provides a bidding strategy determination device, comprising:

[0037] An evaluation module is used to evaluate the total power consumption, peak period ratio, flat period ratio and valley period ratio of the target user based on the historical power consumption data of the target user;

[0038] The electricity quantity determination module is used to determine the fixed price electricity quantity and the linkage price electricity quantity according to the total electricity consumption and the fixed electricity quantity ratio, and to determine the contractual electricity quantity and the spot electricity quantity according to the total electricity consumption and the contractual electricity purchase ratio;

[0039] The total revenue determination module obtains the fixed power sales revenue according to the fixed price power consumption, the peak section ratio, the flat section ratio, the valley section ratio and the agreed selling price corresponding to each section, obtains the linkage power sales revenue according to the linkage price power consumption, the peak section ratio, the flat section ratio, the valley section ratio and the linkage selling price corresponding to each section, and obtains the total power sales revenue according to the fixed power sales revenue and the linkage power sales revenue;

[0040] A total cost determination module is used to obtain the contract power purchase cost according to the contract power purchase amount and the contract purchase price, obtain the spot power purchase cost according to the spot power purchase amount and the estimated spot average price, and obtain the total power purchase cost according to the contract power purchase cost and the spot power purchase cost;

[0041] The kilowatt-hour revenue determination module is used to obtain the kilowatt-hour revenue corresponding to the target user based on the total electricity purchase cost, total electricity sales revenue and total electricity consumption;

[0042] The strategy determination module is used to determine the quotation space according to the gap between the per-kilowatt-hour revenue and the profit balance value when the per-kilowatt-hour revenue is higher than the preset profit balance value.

[0043] In a third aspect, the present application provides a computer device comprising one or more processors and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the quotation strategy determination method in any of the above-mentioned embodiments are executed.

[0044] In a fourth aspect, the present application provides a storage medium storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the quotation strategy determination method in any of the above-mentioned embodiments.

[0045] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0046] By analyzing the historical electricity consumption data of the target user, it is possible to accurately evaluate the user's electricity consumption characteristics, accurately calculate the electricity sales revenue and electricity purchase costs, and thus accurately obtain the electricity revenue per kilowatt-hour. It provides a scientific quotation strategy basis for aggregators, helps achieve profit goals and improve market competitiveness. More importantly, the solution can automatically output the quotation space of the target user, eliminating the complex processes such as manual calculations and internal discussions by the internal staff of the aggregator, and improving work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0048] Figure 1 This is a flow chart of a method for determining a quotation strategy in one embodiment of the present application;

[0049] Figure 2 This is a flow chart of a method for determining a quotation strategy in one embodiment of the present application;

[0050] Figure 3 This is a flow chart of a method for determining a quotation strategy in one embodiment of the present application;

[0051] Figure 4 An internal structure diagram of a computer device provided for one embodiment of the present application. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0053] This application provides a method for determining a quotation strategy. Figure 1 , including steps S102 to S112.

[0054] S102, evaluating the total power consumption, peak-period ratio, flat-period ratio, and valley-period ratio of the target user based on the historical power consumption data of the target user.

[0055] It can be understood that the target user is the user for whom the aggregator needs to propose a targeted quotation strategy. The historical electricity consumption data is the recent electricity consumption data provided by the user, which can be an electricity bill or time-sharing electricity consumption data downloaded by the user from the relevant platform. The total electricity consumption, peak section ratio, flat section ratio and valley section ratio mentioned in this step are not the actual data of the target user on a certain day. Instead, they are statistical data analyzed based on the user's historical data. The total electricity consumption is the total amount of electricity consumed by the target user in a day calculated based on the historical electricity consumption data, which can be obtained by the average value, median, etc. The peak section, flat section and valley section are the time periods specified by the power system manager based on the power consumption of the entire system. The peak section corresponds to the peak period of electricity consumption, generally 10-12 o'clock and 14-19 o'clock. The electricity price of the peak section is higher. The peak section ratio is the proportion of peak section electricity consumption in the total electricity consumption calculated based on the historical electricity consumption data. The valley section corresponds to the low period of electricity consumption, generally 0-8 o'clock. The electricity price of the valley section is lower. The valley section ratio is the proportion of valley section electricity consumption in the total electricity consumption calculated based on the historical electricity consumption data. The flat period is the period outside the peak and off-peak periods. The flat period ratio is the proportion of flat period electricity consumption in the total electricity consumption calculated based on historical electricity consumption data.

[0056] By analyzing the historical electricity consumption data of target users, we can understand the user's electricity consumption habits and patterns. Evaluating the total electricity consumption can allow the power supplier to understand the overall scale of the user's electricity consumption and provide basic data for subsequent electricity allocation and cost-benefit calculations. Determining the peak, flat and valley ratios will help determine the specific electricity sales revenue and electricity purchase costs for each time period.

[0057] S104, determining the fixed price electricity consumption and the linkage price electricity consumption according to the total electricity consumption and the fixed electricity ratio, and determining the contract electricity purchase and the spot electricity purchase according to the total electricity consumption and the contract electricity purchase ratio.

[0058] It can be understood that the fixed electricity ratio is a pre-set ratio for dividing fixed price electricity consumption and linked price electricity consumption. Fixed price electricity consumption is electricity sold to users at a fixed price. Linked price electricity consumption is electricity consumption whose price is linked to market fluctuations. The fixed electricity ratio is determined when the aggregator and the new user sign a contract. The fixed electricity ratio can be part of the quotation strategy, setting a separate ratio for each user, or it can be fixed.

[0059] The contract purchase ratio is used to determine the ratio of contract purchase volume to spot purchase volume. Contract purchase volume refers to the volume purchased through a contract with a power supplier (such as a power plant). The price of this volume will be determined in accordance with the contract signed with the power supplier and will remain unchanged during the contract period. Spot purchase volume refers to the volume purchased in the electricity spot market, and its price fluctuates with market supply and demand.

[0060] S106, obtain the fixed electricity sales revenue based on the fixed price electricity consumption, peak section ratio, flat section ratio, valley section ratio and the agreed selling price corresponding to each section; obtain the linked electricity sales revenue based on the linked price electricity consumption, peak section ratio, flat section ratio, valley section ratio and the linked selling price corresponding to each section; and obtain the total electricity sales revenue based on the fixed electricity sales revenue and the linked electricity sales revenue.

[0061] It can be understood that the agreed selling price is the electricity sales price agreed with the user in different time periods (peak period, flat period, valley period). Generally speaking, the aggregator will agree with the user on the flat period price, and the peak period price and valley period price will be calculated based on the peak period coefficient and valley period coefficient respectively. The fixed electricity sales income is the fixed income that can be expected after signing a contract with the target user at the quotation level corresponding to the fixed value. By multiplying the fixed price electricity consumption by each ratio, the electricity consumption in each time period can be obtained, and then the electricity consumption is multiplied by the corresponding agreed selling price to obtain the income (fixed electricity sales income) sold to the user at the fixed price. The agreed selling price in this step is a preset fixed value, and the final quotation made to the target user is the value obtained after adjusting the fixed value based on the subsequent processing results. The fixed value can be determined based on the average price of other aggregators' quotations.

[0062] The linkage selling price is the electricity sales price linked to the monthly centralized competitive comprehensive price of the market, the monthly medium- and long-term transaction comprehensive price, and the weighted electricity price of the spot market in different time periods (peak, flat, and valley). The linkage electricity sales revenue is the unstable revenue that can be expected to be harvested according to the fluctuating market price after signing a contract with the target user. By multiplying the linkage price electricity consumption with each ratio, the electricity consumption in each time period can be obtained, and then the electricity consumption is multiplied by the corresponding linkage selling price to obtain the revenue (linked electricity sales revenue) sold to users at the linkage price. The linkage selling price in this step is mainly determined by the linkage indicators provided by the regional power market manager, such as the monthly comprehensive price of the day-ahead market, the monthly centralized competitive transaction comprehensive price, the monthly medium- and long-term transaction comprehensive price, and the weighted average price of monthly and spot deviation electricity. The regional power market trading center will publish the linkage indicators of the month. In this step, you can jump to the relevant link during the calculation process to further obtain the required linkage price.

[0063] The total electricity sales revenue can be obtained by adding the fixed electricity sales revenue and the linkage electricity sales revenue. However, in some regions, aggregators and users are allowed to agree on floating fees for the entire electricity volume. In this case, the floating fees should be calculated based on the total electricity volume and the floating unit price, and the floating fees should be added to the fixed electricity sales revenue and the linkage electricity sales revenue to obtain the total electricity sales revenue.

[0064] S108, obtaining the contract power purchase cost according to the contract power purchase amount and the contract purchase price, obtaining the spot power purchase cost according to the spot power purchase amount and the estimated spot average price, and obtaining the total power purchase cost according to the contract power purchase cost and the spot power purchase cost.

[0065] It can be understood that the contract purchase price refers to the price of purchasing electricity agreed upon in the medium- and long-term contract signed between the aggregator and the power supplier. The contract purchase price is estimated and preset in this step based on market information and future market price trends. The contract purchase cost of electricity can be obtained by multiplying the contract purchase volume and the contract purchase price. The contract purchase cost of electricity is the fixed cost that the aggregator needs to pay when trading with the target user. The estimated spot average price can be the average price of the spot day-ahead unified settlement point published by the power trading center for the day-ahead market. In this step, you can jump to the relevant link to obtain it during the calculation process. The spot purchase cost of electricity can be obtained by multiplying the estimated spot average price and the spot purchase cost of electricity.

[0066] The total electricity purchase cost can be obtained by adding the contract electricity purchase cost and the spot electricity purchase cost. However, some regions have proposed incentives for aggregators to reduce peak loads, that is, additional fees are required to purchase electricity during peak periods, and purchasing electricity during valley periods can reduce electricity purchase costs. The electricity purchase demand of the aggregator matches the electricity demand of the target users. Therefore, the peak-valley balancing cost can be obtained by further multiplying the peak-period electricity consumption of the target users and the peak-period additional unit price minus the product of the valley-period electricity consumption and the valley-period compensation unit price. The peak-valley balancing cost is added to the contract electricity purchase cost and the spot electricity purchase cost to obtain the total electricity purchase cost.

[0067] S110, obtaining the electricity revenue corresponding to the target user according to the total electricity purchase cost, the total electricity sales revenue and the total electricity consumption.

[0068] It can be understood that the revenue per kilowatt-hour refers to the average revenue that can be obtained by providing each kilowatt-hour of electricity to the target user. Subtract the total electricity sales revenue obtained in the previous step from the total electricity purchase cost to get the estimated total revenue that can be obtained by signing a contract with the target user, and divide it by the total electricity consumption to get the revenue per kilowatt-hour.

[0069] S112, if the revenue per kilowatt-hour is higher than the preset profit balance value, determine the quotation space according to the gap between the revenue per kilowatt-hour and the profit balance value.

[0070] It can be understood that the profit balance value is the per-kilowatt-hour revenue value set by the power supplier to achieve a balance between revenue and expenditure. The target user's historical electricity consumption data is used to perform the above steps, and the target user's quotation space is finally automatically output. The quotation space refers to the range in which the electricity selling price can be adjusted under the premise of ensuring profitability. If the per-kilowatt-hour revenue is higher than the profit balance value, it means that the aggregator can achieve profitability under the current quotation strategy. At this time, the quotation space can be determined according to the gap between the per-kilowatt-hour revenue and the profit balance value. If the gap is large, it means that the aggregator has a large profit margin, and it can consider lowering the price on the basis of the agreed selling price in step S106 to improve market competitiveness; if the gap is small, it means that the power supplier has limited profit margins and needs to adjust the quotation strategy with caution. In addition, if the per-kilowatt-hour revenue is lower than the preset profit balance value, it is necessary to adjust other factors in the agreement with the target user except the quotation, for example, reselect the fixed electricity ratio. In the context of rising power generation costs, you can choose to reduce the proportion of fixed electricity and strengthen the connection with market fluctuations in the revenue part to increase revenue. In the context of reduced power generation costs, you can choose to increase the proportion of fixed electricity to ensure higher fixed income at low power purchase costs. You can also modify the indicators selected for the linkage price.

[0071] Based on the quotation strategy determination method in this application, by analyzing the historical electricity consumption data of the target user, it is possible to accurately evaluate the user's electricity consumption characteristics, accurately calculate the electricity sales revenue and electricity purchase cost, and thus accurately obtain the electricity revenue per kilowatt-hour. It provides a scientific quotation strategy basis for aggregators, helps to achieve profit goals and improve market competitiveness. More importantly, the solution can automatically output the quotation space of the target user, eliminating the complex processes such as manual calculations and internal discussions by the internal staff of the aggregator, thereby improving work efficiency.

[0072] In one embodiment, the total power consumption, peak-period ratio, flat-period ratio, and valley-period ratio of the target user are evaluated based on the historical power consumption data of the target user. Figure 2 , including steps S202 to S212.

[0073] S202, obtaining multiple historical daily time-sharing data of the target user.

[0074] It can be understood that the historical electricity consumption data in this embodiment specifically refers to the time-sharing electricity consumption data of the user on different days in the past, and the time-sharing electricity consumption data reflects the target user's electricity consumption at each hour of the day. In order to accurately evaluate the target user's electricity consumption and formulate a reasonable quotation strategy, it is necessary to collect a large amount of historical data. By obtaining multiple historical daily time-sharing data of the target user, the user's electricity consumption patterns and trends in different time periods can be understood.

[0075] S204, for any time-sharing, respectively extract the historical time-sharing power consumption of the time-sharing in the time-sharing data of each historical day, and obtain the statistical time-sharing power consumption corresponding to the time-sharing according to the extracted historical time-sharing power consumption.

[0076] It can be understood that in a historical daily time-sharing data, the electricity consumption of a time-sharing is the historical time-sharing electricity consumption. The statistical time-sharing electricity consumption is a comprehensive value obtained after statistical analysis of the historical time-sharing electricity consumption of a specific time-sharing, which can usually be an average, median, etc. For each specific time-sharing, extracting the electricity consumption of the time-sharing in each historical day can help the aggregator understand the user's electricity consumption in this specific time period. By performing statistical analysis on the electricity consumption of the same time-sharing in multiple historical days, the statistical time-sharing electricity consumption of the time-sharing can be obtained. Statistical analysis can eliminate the impact of individual outliers and more accurately reflect the user's electricity consumption pattern in the time-sharing.

[0077] S206, obtaining the total power consumption according to the sum of each statistical time-sharing power consumption.

[0078] It can be understood that by adding up the statistical time-sharing power consumption of each time, the total power consumption of the target user can be obtained. This total power consumption is a quantitative indicator of the overall power consumption scale of the target user. Different time-sharing power consumption reflects the power demand of the user in different time periods. Adding them together can fully understand the total power consumption of the user.

[0079] S208, obtaining the statistical peak power consumption according to the statistical time-sharing power consumption corresponding to the preset peak time-sharing, and obtaining the peak ratio according to the statistical peak power consumption and the total power consumption.

[0080] It can be understood that the peak time is a pre-set peak power consumption period. The statistical peak power consumption is the statistical value of power consumption within the peak time. According to the preset peak time, the statistical time consumption corresponding to these time periods is extracted from all statistical time consumption, and the statistical peak power consumption is added together. Then, the statistical peak power consumption is divided by the total power consumption to get the peak ratio.

[0081] S210, obtaining the statistical flat-segment power consumption according to the statistical time-sharing power consumption corresponding to the preset flat-segment time-sharing, and obtaining the flat-segment ratio according to the statistical flat-segment power consumption and the total power consumption.

[0082] It can be understood that the flat time-sharing is the time period between the peak period and the valley period. The statistical flat-segment power consumption is the statistical value of power consumption within the flat-segment time-sharing. According to the preset flat-segment time-sharing, the statistical time-sharing power consumption corresponding to these time periods is extracted from all statistical time-sharing power consumption, and the statistical flat-segment power consumption is added together to obtain the statistical flat-segment power consumption. Then, the statistical flat-segment power consumption is divided by the total power consumption to obtain the flat-segment ratio.

[0083] S212, obtaining the statistical valley power consumption according to the statistical time-sharing power consumption corresponding to the preset valley time-sharing, and obtaining the valley ratio according to the statistical valley power consumption and the total power consumption.

[0084] It can be understood that valley time-sharing is the time period of low electricity consumption. The statistical valley power consumption is the statistical value of power consumption within the valley time-sharing. According to the preset valley time-sharing, the statistical time-sharing power consumption corresponding to these time periods is extracted from all statistical time-sharing power consumption, and the statistical valley power consumption is added together to obtain the statistical valley power consumption. Then, the statistical valley power consumption is divided by the total power consumption to obtain the valley ratio.

[0085] In one embodiment, see Figure 3 The quotation strategy determination method also includes steps S302 to S306.

[0086] S302, classifying each historical user according to the historical electricity consumption data of multiple historical users, and determining the electricity revenue per kilowatt-hour of each historical user.

[0087] It can be understood that historical users refer to users who have signed contracts and have been served in the past. Historical electricity consumption data includes information such as the electricity consumption of users in different time periods. Classification is to divide users into different groups according to set standards. For example, historical users can be divided into several categories with similar electricity consumption characteristics according to the similarity between the total electricity consumption, peak section ratio, flat section ratio and valley section ratio of historical users (the calculation method can refer to the above embodiment), such as charging pile users, large industrial users and commercial users.

[0088] In addition, since historical users are users who have signed contracts in the past, the costs and benefits of providing services to them are known. The per-kilowatt-hour benefit of each historical user can be calculated by deducting the total cost from the actual statistical total benefit and then dividing it by their electricity consumption.

[0089] S304, for any category of historical users, according to the kilowatt-hour revenue of the historical users, obtain the statistical kilowatt-hour revenue corresponding to the category.

[0090] It can be understood that the statistical per-kilowatt-hour revenue is a comprehensive value obtained after statistical analysis of the per-kilowatt-hour revenue of a certain category of historical users, which can usually be an average value, median, etc. For each category of historical users, each user within it may have different per-kilowatt-hour revenue. In order to better understand the overall profitability of any category of users, it is necessary to conduct a statistical analysis of the per-kilowatt-hour revenue of this category of users. Statistical indicators such as the average value or median of the per-kilowatt-hour revenue of this category of users can be calculated as the statistical per-kilowatt-hour revenue of this category. Such statistical analysis can eliminate the impact of outliers of individual users and more accurately reflect the average profit level of this category of users.

[0091] S306: Determine the category in which the statistical kilowatt-hour revenue is greater than the profit balance value as a tendency category.

[0092] It can be understood that by obtaining statistical kilowatt-hour revenue of different categories, aggregators can compare the profitability of different user groups, so that when acquiring new customers, they can focus on acquiring customers with high profitability levels. Therefore, the category whose statistical kilowatt-hour revenue is greater than the profit balance value can be determined as a tendency category. For users whose electricity consumption characteristics belong to the tendency category, it means that there is a greater profit potential in signing a contract with this user, and users can be developed in a targeted manner. In addition, it is also possible to better formulate quotation strategies for different user categories. For example, if the statistical kilowatt-hour revenue of a certain category of users is higher, it means that this type of users is more adaptable to the current electricity price strategy, or has a higher stability in electricity demand. Aggregators can consider maintaining or fine-tuning the quotation strategy for this type of users; if the statistical kilowatt-hour revenue of a certain type of users is lower, it may be necessary to re-evaluate the quotation strategy for this type of users to improve their profitability.

[0093] In one embodiment, before evaluating the total power consumption, peak-period ratio, flat-period ratio, and valley-period ratio of the target user based on the historical power consumption data of the target user, the method further includes: classifying the selectable users based on the historical power consumption data of the selectable users. If the category of the selectable user belongs to the tendency category, the selectable user is determined as the target user.

[0094] It can be understood that optional users refer to customers that aggregators can choose to determine whether to conduct further exploration when acquiring customers. In the actual electricity market, aggregators usually face a large number of optional users. In order to allocate resources more efficiently, these optional users need to be classified. The basis for classification is the various characteristics reflected by the user's historical electricity consumption data, and the optional users are classified in the same way as historical users. After the classification of optional users is completed, if the category of a certain optional user belongs to the tendency category, it will be determined as a target user. This is because the tendency category represents a user group with higher statistical per-kilowatt-hour revenue and better profit potential. For aggregators, selecting such users as target users and ultimately successfully signing contracts can obtain higher profits and realize the concentration of limited customer acquisition resources on the most potential optional users.

[0095] In one of the embodiments, the fixed electricity sales revenue is obtained according to the fixed price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the agreed selling price corresponding to each section, including: obtaining the peak section fixed selling price according to the agreed flat section fixed selling price and the peak section coefficient, and obtaining the valley section fixed selling price according to the flat section fixed selling price and the valley section coefficient. According to the fixed price electricity consumption and the peak section ratio, the peak section fixed price electricity consumption is obtained, and the peak section fixed electricity sales revenue is obtained according to the peak section fixed price electricity consumption and the peak section fixed selling price. According to the fixed price electricity consumption and the flat section ratio, the flat section fixed price electricity consumption is obtained, and the flat section fixed electricity sales revenue is obtained according to the flat section fixed price electricity consumption and the flat section fixed selling price. According to the fixed price electricity consumption and the valley section ratio, the valley section fixed price electricity consumption is obtained, and the valley section fixed price electricity consumption is obtained according to the valley section fixed price electricity consumption and the valley section fixed selling price.

[0096] It is understandable that in order to reasonably determine the electricity sales price and revenue in different time periods, it is necessary to calculate according to certain rules. The peak coefficient and the valley coefficient are the coefficients for adjusting the price based on the fixed selling price in the flat period. The peak fixed selling price can be obtained by dividing the flat fixed selling price by the peak coefficient, and the valley fixed selling price can be obtained by dividing the flat fixed selling price by the valley coefficient. The fixed price of electricity consumption in each time period is calculated by multiplying the total fixed price electricity consumption by the proportion corresponding to the time period. Multiplying the fixed price electricity consumption in each time period by the fixed selling price can obtain the fixed electricity sales revenue in each time period.

[0097] In one of the embodiments, the linkage electricity sales revenue is obtained according to the linkage price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the linkage selling price corresponding to each section, including: obtaining the peak section linkage selling price according to the preset flat section linkage selling price and the peak section coefficient, and obtaining the valley section linkage selling price according to the flat section linkage selling price and the valley section coefficient. According to the linkage price electricity consumption and the peak section ratio, the peak section linkage price electricity consumption is obtained, and according to the peak section linkage price electricity consumption and the peak section linkage selling price, the peak section linkage electricity sales revenue is obtained. According to the linkage price electricity consumption and the flat section ratio, the flat section linkage price electricity consumption is obtained, and according to the flat section linkage price electricity consumption and the flat section linkage selling price, the flat section linkage electricity sales revenue is obtained. According to the linkage price electricity consumption and the valley section ratio, the valley section linkage price electricity consumption is obtained, and according to the valley section linkage price electricity consumption and the valley section linkage selling price, the valley section linkage electricity sales revenue is obtained.

[0098] It can be understood that in order to reasonably determine the electricity sales price and revenue in different time periods, it is necessary to calculate according to certain rules. The peak coefficient and valley coefficient (the same as the fixed selling price) are the coefficients used to adjust the price based on the flat-segment linkage selling price. The flat-segment linkage selling price and the peak coefficient can be used to obtain the peak-segment linkage selling price, and the flat-segment linkage selling price and the valley coefficient can be used to obtain the valley-segment linkage selling price. The linkage price electricity consumption in each time period is calculated by multiplying the total linkage price electricity consumption by the proportion corresponding to the time period. Multiplying the linkage price electricity consumption in each time period by the linkage selling price can obtain the linkage electricity sales revenue in each time period.

[0099] The present application provides a quotation strategy determination device, including an evaluation module, an electricity determination module, a total revenue determination module, a total cost determination module, a kilowatt-hour revenue determination module and a strategy determination module. The evaluation module is used to evaluate the total electricity consumption, peak section ratio, flat section ratio and valley section ratio of the target user based on the historical electricity consumption data of the target user. The electricity determination module is used to determine the fixed price electricity consumption and the linkage price electricity consumption according to the total electricity consumption and the fixed electricity ratio, and to determine the contract purchase electricity and the spot purchase electricity according to the total electricity consumption and the contract purchase electricity ratio. The total revenue determination module obtains the fixed electricity sales revenue according to the fixed price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the agreed selling price corresponding to each section, obtains the linkage electricity sales revenue according to the linkage price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the linkage selling price corresponding to each section, and obtains the total electricity sales revenue according to the fixed electricity sales revenue and the linkage electricity sales revenue. The total cost determination module is used to obtain the contract power purchase cost based on the contract power purchase amount and the contract purchase price, obtain the spot power purchase cost based on the spot power purchase amount and the estimated spot average price, and obtain the total power purchase cost based on the contract power purchase cost and the spot power purchase cost. The kilowatt-hour revenue determination module is used to obtain the kilowatt-hour revenue corresponding to the target user based on the total power purchase cost, the total power sales revenue and the total power consumption. The strategy determination module is used to determine the quotation space based on the gap between the kilowatt-hour revenue and the profit balance value when the kilowatt-hour revenue is higher than the preset profit balance value.

[0100] For the specific limitations of the quotation strategy determination device, please refer to the limitations of the quotation strategy determination method above. For the specific limitations of the quotation strategy determination device, please refer to the limitations of the quotation strategy determination method above, which will not be repeated here. 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. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0101] The present application provides a computer device, including one or more processors and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the quotation strategy determination method in any of the above embodiments are executed.

[0102] Indicatively, Figure 4 As shown, Figure 4 A schematic diagram of the internal structure of a computer device provided in an embodiment of the present application. Figure 4 The computer device 400 includes a processing component 402, which further includes one or more processors, and a memory resource represented by a memory 401, for storing instructions executable by the processing component 402, such as an application. The application stored in the memory 401 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 402 is configured to execute instructions to perform the steps of the quotation strategy determination method in any of the above embodiments.

[0103] The computer device 400 may further include a power supply component 403 configured to perform power management of the computer device 400 , a wired or wireless network interface 404 configured to connect the computer device 400 to a network, and an input / output (I / O) interface 405 .

[0104] Those skilled in the art will understand that Figure 4 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.

[0105] The present application provides a storage medium, in which computer-readable instructions are stored. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the quotation strategy determination method in any of the above embodiments.

[0106] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can refer to each other.

[0107] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining a quotation strategy, It is characterized in that include: According to the historical electricity consumption data of the target user, the total electricity consumption, peak period ratio, flat period ratio and valley period ratio of the target user are evaluated; Determine the fixed price electricity consumption and the linkage price electricity consumption according to the total electricity consumption and the fixed electricity ratio, and determine the contractual electricity purchase and spot electricity purchase according to the total electricity consumption and the contractual electricity purchase ratio; According to the fixed price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the agreed selling price corresponding to each section, a fixed electricity sales income is obtained; according to the linkage price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the linkage selling price corresponding to each section, a linkage electricity sales income is obtained; and according to the fixed electricity sales income and the linkage electricity sales income, a total electricity sales income is obtained; Obtaining the contract power purchase cost according to the contract power purchase amount and the contract purchase price, obtaining the spot power purchase cost according to the spot power purchase amount and the estimated spot average price, and obtaining the total power purchase cost according to the contract power purchase cost and the spot power purchase cost; Obtaining the electricity revenue corresponding to the target user according to the total electricity purchase cost, the total electricity sales revenue and the total electricity consumption; If the revenue per kilowatt-hour is higher than a preset profit balance value, the quotation space is determined according to the gap between the revenue per kilowatt-hour and the profit balance value.

2. The method for determining a quotation strategy according to claim 1, It is characterized in that The step of evaluating the total power consumption, peak-period ratio, flat-period ratio, and valley-period ratio of the target user based on the historical power consumption data of the target user includes: Obtain multiple historical daily time-sharing data of the target user; For any time-sharing, respectively extract the historical time-sharing power consumption of the time-sharing in each of the historical daily time-sharing data, and obtain the statistical time-sharing power consumption corresponding to the time-sharing according to the extracted historical time-sharing power consumption; Obtaining the total power consumption according to the sum of the statistical time-sharing power consumption; According to the statistical time-sharing power consumption corresponding to the preset peak time-sharing, the statistical peak power consumption is obtained, and according to the statistical peak power consumption and the total power consumption, the peak ratio is obtained; According to the statistical time-sharing power consumption corresponding to the preset flat-segment time-sharing, the statistical flat-segment power consumption is obtained, and according to the statistical flat-segment power consumption and the total power consumption, the flat-segment ratio is obtained; According to the statistical time-sharing power consumption corresponding to the preset valley time-sharing, the statistical valley power consumption is obtained, and according to the statistical valley power consumption and the total power consumption, the valley ratio is obtained.

3. The method for determining a quotation strategy according to claim 1, It is characterized in that Also includes: Classifying each of the historical users according to the historical electricity consumption data of multiple historical users, and determining the electricity revenue per kilowatt-hour of each of the historical users; For any category of the historical users, according to the electricity revenue per kilowatt-hour of the historical users of the category, the statistical electricity revenue per kilowatt-hour corresponding to the category is obtained; The category in which the statistical profit per kilowatt-hour is greater than the profit balance value is determined as a tendency category.

4. The method for determining a quotation strategy according to claim 3, It is characterized in that Before evaluating the total power consumption, peak-period ratio, flat-period ratio, and valley-period ratio of the target user based on the historical power consumption data of the target user, the method further includes: Classifying the selectable users according to the historical electricity usage data of the selectable users; If the category of the selectable user belongs to the tendency category, the selectable user is determined as the target user.

5. The method for determining a quotation strategy according to claim 1, It is characterized in that The fixed electricity sales income is obtained according to the fixed price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the agreed selling price corresponding to each section, including: The peak-segment fixed price is obtained according to the agreed flat-segment fixed price and the peak-segment coefficient, and the valley-segment fixed price is obtained according to the flat-segment fixed price and the valley-segment coefficient; According to the fixed price electricity consumption and the peak section ratio, the peak section fixed price electricity consumption is obtained, and according to the peak section fixed price electricity consumption and the peak section fixed selling price, the peak section fixed electricity sales income is obtained; According to the fixed-price electricity consumption and the flat-segment ratio, the flat-segment fixed-price electricity consumption is obtained, and according to the flat-segment fixed-price electricity consumption and the flat-segment fixed selling price, the flat-segment fixed electricity sales income is obtained; The valley fixed price electricity consumption is obtained according to the fixed price electricity consumption and the valley ratio, and the valley fixed price electricity sales income is obtained according to the valley fixed price electricity consumption and the valley fixed selling price.

6. The method for determining a quotation strategy according to claim 1, It is characterized in that The linkage electricity sales revenue is obtained according to the linkage price electricity consumption, the peak section ratio, the flat section ratio, the valley section ratio and the linkage selling price corresponding to each section, including: The peak-segment linkage selling price is obtained according to the preset flat-segment linkage selling price and the peak-segment coefficient, and the valley-segment linkage selling price is obtained according to the flat-segment linkage selling price and the valley-segment coefficient; According to the linkage price electricity consumption and the peak section ratio, the peak section linkage price electricity consumption is obtained, and according to the peak section linkage price electricity consumption and the peak section linkage selling price, the peak section linkage electricity sales revenue is obtained; According to the linkage price electricity consumption and the flat-segment ratio, the flat-segment linkage price electricity consumption is obtained, and according to the flat-segment linkage price electricity consumption and the flat-segment linkage selling price, the flat-segment linkage electricity sales income is obtained; The valley-section linkage price electricity consumption is obtained according to the linkage price electricity consumption and the valley-section ratio, and the valley-section linkage price electricity consumption is obtained according to the valley-section linkage price electricity consumption and the valley-section linkage selling price.

7. The method for determining a quotation strategy according to claim 6, It is characterized in that The flat-segment linkage selling price is the previous month’s comprehensive market price.

8. A quotation strategy determination device, It is characterized in that include: An evaluation module, used to evaluate the total power consumption, peak period ratio, flat period ratio and valley period ratio of the target user according to the historical power consumption data of the target user; An electricity determination module, used to determine the fixed price electricity consumption and the linkage price electricity consumption according to the total electricity consumption and the fixed electricity proportion, and to determine the contractual electricity purchase amount and the spot electricity purchase amount according to the total electricity consumption and the contractual electricity purchase proportion; a total revenue determination module, which obtains a fixed power sales revenue according to the fixed price power consumption, the peak section ratio, the flat section ratio, the valley section ratio and the agreed selling price corresponding to each section, obtains a linkage power sales revenue according to the linkage price power consumption, the peak section ratio, the flat section ratio, the valley section ratio and the linkage selling price corresponding to each section, and obtains a total power sales revenue according to the fixed power sales revenue and the linkage power sales revenue; A total cost determination module, configured to obtain the contract power purchase cost according to the contract power purchase amount and the contract purchase price, obtain the spot power purchase cost according to the spot power purchase amount and the estimated spot average price, and obtain the total power purchase cost according to the contract power purchase cost and the spot power purchase cost; A kilowatt-hour revenue determination module, configured to obtain the kilowatt-hour revenue corresponding to the target user according to the total electricity purchase cost, the total electricity sales revenue and the total electricity consumption; The strategy determination module is used to determine the quotation space according to the gap between the profit per kilowatt-hour and the profit balance value when the profit per kilowatt-hour is higher than the preset profit balance value.

9. A computer device, It is characterized in that The system comprises one or more processors and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the quotation strategy determination method according to any one of claims 1 to 7 are executed.

10. A storage medium, It is characterized in that The storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the quotation strategy determination method according to any one of claims 1 to 7.

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