Method and apparatus for selecting charging policy, electronic device and readable storage medium

Abstract

The application provides a charging strategy selection method and device, electronic equipment and a readable storage medium. The method comprises the following steps: obtaining historical information and future production plan information of a target enterprise in at least two historical charging periods; and selecting a target charging strategy from at least two charging strategies based on the historical information and the future production plan information, the target charging strategy being applied to a next charging period. In the scheme, the historical information in the multiple historical charging periods and the future production plan information are combined, the target charging strategy is automatically selected from the multiple charging strategies to be applied to the next charging period, the determined target charging strategy combines the charging-related historical information and the future production plan information, the selected charging strategy is more close to the capacity use condition of the target enterprise, and the charging strategy selected by the target enterprise is more economical.

Description

Technical Field

[0001] This application relates to the field of information technology, and more specifically, to a method, apparatus, electronic device, and readable storage medium for selecting a billing strategy. Background Technology

[0002] Currently, most general industrial and commercial enterprises implement a two-part electricity pricing system.

[0003] For enterprises using a two-part electricity pricing system, the electricity bill includes a basic electricity charge and a per-kilowatt-hour charge. The basic electricity charge can be calculated in three ways: based on contracted capacity, based on approved demand, or based on actual maximum demand.

[0004] The two-part electricity pricing system consists of a basic electricity price and a per-unit electricity price. The basic electricity price is calculated based on the transformer capacity or maximum demand of industrial enterprises (i.e., the maximum value of the average load every 15 minutes or 30 minutes in a month). The basic price is determined by a contract between the power supply department and the power consumption department, and is collected monthly at a fixed rate, regardless of the actual amount of electricity consumed. The per-unit electricity price is calculated based on the actual amount of electricity consumed by the power consumption department.

[0005] The basic electricity charges for businesses can be categorized into three types: **Billing based on contracted capacity:** The user's operating transformer capacity (including hot standby) multiplied by the basic capacity electricity price (which varies by province) equals their monthly basic electricity charge. **Billing based on approved demand:** The user's actual maximum demand is calculated based on the maximum demand specified in the power supply contract. If the user's actual maximum demand does not exceed 105% of the contracted maximum demand, the basic electricity charge is calculated by multiplying the contracted maximum demand by the approved demand electricity price. If the demand exceeds 105% of the contracted maximum demand, the basic electricity charge for the portion exceeding 105% is doubled. **Billing based on actual maximum demand:** The user's actual maximum demand for the month multiplied by the demand electricity price equals their monthly basic electricity charge (the actual maximum demand is determined monthly by the power supply department).

[0006] However, because many enterprise users do not understand their own capacity usage, they choose the wrong billing method, resulting in a large portion of their expenses. Summary of the Invention

[0007] In view of this, this application provides a method for selecting a billing strategy, as follows:

[0008] A method for selecting a billing strategy includes:

[0009] Obtain historical information and future production plan information of the target company for at least two historical billing periods;

[0010] Based on historical information and future production plan information, a target billing strategy is selected from at least two billing strategies, and the target billing strategy is applied to the next billing cycle.

[0011] Optionally, the above method, wherein obtaining the target enterprise's historical information and future production plan information within at least two historical billing periods, includes:

[0012] Obtain the target company's daily load rate, historical capacity, and historical maximum demand for each of at least two historical billing periods.

[0013] Optionally, the above method, based on historical information and future production plan information, selects a target billing strategy from at least two billing strategies, including:

[0014] Based on the daily load rate of the historical billing period, determine the average load rate over the at least two historical billing periods;

[0015] Based on the historical maximum demand and historical capacity of each historical billing period, determine the average capacity-demand ratio within the at least two historical billing periods;

[0016] The maximum demand fluctuation value within the at least two historical billing periods is obtained based on the historical maximum demand of at least two historical billing periods;

[0017] Based on the analysis of future production plan information, the target company's future production increase or decrease information is obtained;

[0018] The target billing strategy is selected based on the average load factor over at least two historical billing periods, the average capacity-to-demand ratio, the maximum demand fluctuation value, and the future production increase / decrease information.

[0019] Optionally, in the above method, obtaining the maximum demand fluctuation value within the at least two historical billing periods based on the historical maximum demand of at least two historical billing periods includes:

[0020] The average maximum demand for the at least two historical billing periods is determined based on the historical maximum demand for each historical billing period.

[0021] The maximum demand fluctuation value is determined based on the average maximum demand and the historical maximum demand of at least two historical billing periods.

[0022] Optionally, the above method, based on the average load factor over the at least two historical billing periods, the average capacity-to-demand ratio, the maximum demand fluctuation value, and the future production increase / decrease information, selects a target billing strategy, including:

[0023] If the average load factor is greater than the standard capacity-demand ratio, the average capacity-demand ratio in the two historical billing periods is greater than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of no production reduction, the first target strategy is selected. The standard capacity-demand ratio is determined based on the historical capacity of the target enterprise.

[0024] If the average load factor is less than the standard capacity-demand ratio, the average capacity-demand ratio in at least two historical billing periods is less than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of not increasing production, then the second objective strategy is selected.

[0025] If the average capacity-to-demand ratio over the two historical billing periods is greater than the first agreed threshold but less than the standard capacity-to-demand ratio, and the maximum demand fluctuation value over the at least two historical billing periods is less than the second agreed threshold, then the third target strategy is selected.

[0026] Optionally, the above method, before selecting the target billing strategy from at least two billing strategies based on historical information and future production plan information, further includes:

[0027] Obtain the capacity billing unit price and the demand billing unit price;

[0028] Based on the capacity billing unit price and the target enterprise's historical capacity in at least two historical billing periods, as well as the demand billing unit price, determine the target enterprise's target maximum demand;

[0029] Based on the historical capacity and the target enterprise's target maximum demand, the standard capacity-demand ratio is determined.

[0030] Optionally, the above methods,

[0031] The first target strategy is to determine the electricity cost of the target enterprise based on its capacity and capacity unit price, and its electricity consumption and electricity unit price.

[0032] The second target strategy includes: determining the electricity cost of the target enterprise based on its actual maximum demand and demand unit price, and the electricity consumption and electricity unit price of the target enterprise;

[0033] The third objective strategy includes: determining the electricity cost of the target enterprise based at least on the agreed maximum demand and demand unit price, and the electricity consumption and electricity unit price of the target enterprise.

[0034] A billing strategy selection device, comprising:

[0035] The acquisition module is used to obtain historical information and future production plan information of the target enterprise within at least two historical billing periods;

[0036] The selection module is used to select a target billing strategy from at least two billing strategies based on historical information and future production plan information, and the target billing strategy is applied to the next billing cycle.

[0037] An electronic device includes: at least one memory and at least one processor; the memory stores a program, and the processor calls the program stored in the memory, the program being used to implement the billing strategy selection method described in any one of the preceding claims.

[0038] A readable storage medium having a computer program stored thereon, the computer program being invoked and executed by a processor to implement the steps of the billing strategy selection method as described in any of the preceding claims.

[0039] As can be seen from the above technical solution, this application provides a method for selecting a billing strategy, including: obtaining historical information and future production plan information of a target enterprise within at least two historical billing periods; selecting a target billing strategy from at least two billing strategies based on the historical information and future production plan information, wherein the target billing strategy is applied to the next billing period. In this solution, by combining historical information and future production plan information from multiple historical billing periods, a target billing strategy is automatically selected from multiple billing strategies for application to the next billing period. The determined target billing strategy combines both billing-related historical information and future production plan information, making the selected billing strategy more closely aligned with the target enterprise's capacity usage, thus making the billing strategy chosen by the target enterprise more economical. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0041] Figure 1 This is a flowchart of an embodiment 1 of a billing strategy selection method provided in this application;

[0042] Figure 2 This is a flowchart of Embodiment 2 of a billing strategy selection method provided in this application;

[0043] Figure 3 This is a flowchart of Embodiment 3 of a billing strategy selection method provided in this application;

[0044] Figure 4 This is a flowchart of Embodiment 4 of a billing strategy selection method provided in this application;

[0045] Figure 5 This is a flowchart of embodiment 5 of the billing strategy selection method provided in this application;

[0046] Figure 6This is a schematic diagram of an embodiment of a billing strategy selection device provided in this application. Detailed Implementation

[0047] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] like Figure 1 The flowchart shown is a sample of an embodiment 1 of a billing strategy selection method provided in this application. The method includes the following steps:

[0049] Step S101: Obtain historical information and future production plan information of the target enterprise within at least two historical billing periods;

[0050] It should be noted that in this application, the target billing strategy is selected by combining the target enterprise's historical billing information and future production plan information related to the billing strategy to be selected.

[0051] Among them, the future production plan information indicates the target company's future electricity consumption.

[0052] This includes information related to the target company's billing and information related to the target company's historical production.

[0053] Specifically, obtain historical information from at least two previous billing cycles prior to the current billing cycle. These billing cycles can be those agreed upon with the power supply bureau, such as 1 month, 2 months, 3 months, etc.

[0054] It should be noted that the embodiments of this application are illustrated with a billing cycle of 1 month, but this application does not impose any restrictions on the specific value of the billing cycle.

[0055] In practice, the number of billing periods corresponding to the historical information can be selected according to the actual situation, such as 2, 3, 6 or even more. Generally, if the billing period is 1 month, 6 months of historical information can be used for analysis.

[0056] Step S102: Based on historical information and future production plan information, select a target billing strategy from at least two billing strategies, and apply the target billing strategy to the next billing cycle.

[0057] Among them, the future production plan information represents the target company's future electricity consumption, and the historical information is information related to the target company's historical billing. Combining the future production plan information and the historical information, the target billing strategy is automatically selected from multiple billing strategies to be applied to the next billing cycle.

[0058] It should be noted that since the two-part electricity tariff includes a basic electricity charge and a per-unit electricity charge, the per-unit electricity charge is calculated based on the per-unit electricity price, which is the price calculated according to the actual electricity consumption of the electricity-consuming department. Therefore, the multiple billing strategy choices involved in this application are essentially choices of the billing method for the basic electricity charge.

[0059] The selection process will be described in detail in subsequent embodiments, but will not be described in detail in this embodiment.

[0060] In practice, since changes to the billing strategy require prior application to the power grid company (e.g., 5 working days in advance), this plan can be implemented a certain number of working days in advance to determine the target billing strategy for the next billing cycle.

[0061] Of course, since the current billing cycle has not yet ended, the final values ​​of the information within the current billing cycle cannot be obtained. In order to ensure the integrity of the historical information within at least two historical billing cycles, only the historical information from multiple billing cycles prior to the current billing cycle can be used.

[0062] For example, if the current time is June 2022, the billing cycle is 1 month, and historical information for 6 billing cycles is obtained, then the historical information for December 2021 and January-May 2022 will be obtained, and the selected target billing strategy will be applied to the billing for July 2022.

[0063] In summary, this embodiment provides a billing strategy selection method, which includes: obtaining historical information and future production plan information of a target enterprise within at least two historical billing periods; selecting a target billing strategy from at least two billing strategies based on the historical information and future production plan information, and applying the target billing strategy to the next billing period. In this solution, by combining historical information and future production plan information from multiple historical billing periods, a target billing strategy is automatically selected from multiple billing strategies for application in the next billing period. The determined target billing strategy combines both billing-related historical information and future production plan information, making the selected billing strategy more closely aligned with the target enterprise's capacity usage and thus more economical for the target enterprise.

[0064] like Figure 2 The flowchart shown is a second embodiment of a billing strategy selection method provided in this application. The method includes the following steps:

[0065] Step S201: Obtain the daily load rate, historical capacity, and historical maximum demand of the target enterprise for each historical billing period in at least two historical billing periods;

[0066] If the target enterprise involves two or more incoming users, the maximum demand of each incoming line is calculated and then summed to obtain the maximum demand of the target enterprise.

[0067] Specifically, the daily load rate, historical capacity, and historical maximum demand for each historical billing period are obtained separately.

[0068] The daily load rate is calculated using the following formula: Daily load rate = (Daily maximum load / Operating capacity) * 100%.

[0069] Among them, the daily maximum load and operating capacity can be obtained directly based on the information recorded during the operation of the target enterprise. In specific implementation, the daily load rate can be calculated during the recording of the target enterprise's operation. When implementing the scheme in this embodiment, it can be obtained directly from the records, or it can be obtained after preliminary calculation based on the daily maximum load and operating capacity recorded during the operation of the target enterprise.

[0070] Historical capacity refers to the contracted capacity between the target enterprise and the power supply company, specifically the contracted capacity used in previous billing cycles before the current billing cycle.

[0071] Among them, the historical maximum demand is the actual maximum demand of the target enterprise in each of the previous few historical billing periods before the current billing period.

[0072] Specifically, the maximum demand in any billing cycle is the maximum value of the average load for each agreed duration (such as every 15 minutes or 30 minutes) within a billing cycle.

[0073] Step S202: Obtain information on the target company's future production plans;

[0074] Step S203: Based on historical information and future production plan information, select a target billing strategy from at least two billing strategies, and apply the target billing strategy to the next billing cycle.

[0075] Step S203 is the same as step S102 in Example 1, and will not be described again in this example.

[0076] In summary, the billing strategy selection method provided in this embodiment includes: obtaining the daily load rate, historical capacity, and historical maximum demand of the target enterprise for each of at least two historical billing periods. In this solution, relevant information of the target enterprise in each historical billing period is obtained, and the enterprise's electricity consumption data, capacity, and actual maximum demand are analyzed. Combined with the enterprise's production scale and production plan, a strategy for the enterprise to implement basic electricity fee payment is determined, optimizing the enterprise's payment model and reducing the enterprise's basic electricity fee expenditure.

[0077] like Figure 3 The flowchart shown is a third embodiment of a billing strategy selection method provided in this application. The method includes the following steps:

[0078] Step S301: Obtain the daily load rate, historical capacity, and historical maximum demand of the target enterprise for each historical billing period in at least two historical billing periods;

[0079] Step S302: Obtain information on the target company's future production plans;

[0080] Steps S301-302 are the same as steps S201-202 in Example 2, and will not be described again in this example.

[0081] Step S303: Based on the daily load rate of the historical billing period, determine the average load rate over the at least two historical billing periods;

[0082] The average load factor can be determined as follows: first calculate the monthly average load factor, and then calculate the average load factor for multiple historical billing periods (months).

[0083] Specifically, the average daily load rate for each historical billing period is taken to obtain the monthly average load rate for that historical billing period. Then, the average monthly average load rate of multiple historical billing periods is taken to obtain the average load rate within the at least two historical billing periods. This average load rate is the average load rate for each month in the multiple historical billing periods.

[0084] As an example, the calculated average monthly load factors from December 2021 to May 2022 are 80%, 75%, 85%, 80%, 80%, and 85%, respectively. The average load factor over these multiple historical billing periods is (80%+75%+85%+80%+80%+85%) / 6 = 81%.

[0085] Step S304: Based on the historical maximum demand and historical capacity of each historical billing cycle, determine the average capacity-demand ratio within the at least two historical billing cycles;

[0086] The capacity-demand ratio is the ratio of maximum demand to capacity.

[0087] Specifically, for each historical billing period, the capacity-demand ratio within that period is obtained by comparing the historical maximum demand with the historical capacity. Then, the average capacity-demand ratio within multiple historical billing periods is obtained by averaging the capacity-demand ratios of those multiple historical billing periods.

[0088] Step S305: Obtain the maximum demand fluctuation value within the at least two historical billing periods based on the historical maximum demand of at least two historical billing periods;

[0089] Specifically, for each of the multiple historical billing periods, the fluctuation of the target company's actual maximum demand in history is determined based on the historical maximum demand of each period.

[0090] Step S305 includes:

[0091] Step S3051: Determine the average maximum demand of the at least two historical billing periods based on the historical maximum demand of each historical billing period;

[0092] Step S3052: Determine the maximum demand fluctuation value based on the average maximum demand and the historical maximum demand of the at least two historical billing periods.

[0093] Specifically, the historical maximum demand for each of the multiple months is first averaged to obtain the historical maximum demand average. Then, the actual maximum demand for each month is compared with the average to obtain the volatility.

[0094] The volatility is used to predict the target company's likely maximum actual demand in subsequent billing cycles.

[0095] Specifically, the higher the volatility, the more likely the actual maximum demand of the target company will fluctuate significantly in the future; conversely, the lower the volatility, the less likely the actual maximum demand of the target company will fluctuate significantly in the future.

[0096] Step S306: Based on the analysis of future production plan information, obtain the target enterprise's future production increase or decrease information;

[0097] Among them, based on the production plan information of the target company in multiple billing periods in the future, the analysis determines the target company's future production increase or decrease information.

[0098] In practice, a shorter number of billing cycles, such as three or four, can be used for analysis.

[0099] Specifically, the production increase / decrease information includes several types of information such as plans for a significant increase in production, no plans for an increase / decrease in production, and plans for a significant decrease in production.

[0100] Specifically, the increase or decrease in production is calculated sequentially for any two adjacent billing cycles from the future production plan information, and then production is increased or decreased significantly based on whether the increase or decrease exceeds the threshold for a significant increase or decrease rate.

[0101] Specifically, the calculation method for significant increases or decreases in production rate is as follows:

[0102] Significant increase / decrease rate of production = (Actual maximum demand in the previous historical billing period - N) 标 ) / N 标 *100%.

[0103] Where, N 标 It is the standard capacity requirement ratio, which is a fixed value. The process of determining this threshold will be explained in detail in subsequent embodiments, but will not be detailed in this embodiment.

[0104] Among them, the previous historical billing cycle is the earlier one of the two adjacent billing cycles corresponding to the determined increase or decrease.

[0105] Step S307: Select a target billing strategy based on the average load factor over the at least two historical billing periods, the average capacity-to-demand ratio, the maximum demand fluctuation value, and the future production increase / decrease information.

[0106] Specifically, based on the average load factor, average capacity-demand ratio, maximum demand fluctuation value, and future production increase / decrease information within the multiple historical billing periods calculated in steps S303-306 above, the billing strategy that can determine the minimum billing cost for the target enterprise corresponding to the above parameters is identified as the target billing strategy.

[0107] The selection method will be described in detail in subsequent embodiments, and will not be described in detail in this embodiment.

[0108] In summary, the billing strategy selection method provided in this embodiment includes: determining the average load rate over two historical billing periods based on the daily load rate of the historical billing period; determining the average capacity-demand ratio over two historical billing periods based on the historical maximum demand and historical capacity of each historical billing period; obtaining the maximum demand fluctuation value over at least two historical billing periods based on the historical maximum demand of at least two historical billing periods; obtaining the target enterprise's future production increase / decrease information based on future production plan information analysis; and selecting a target billing strategy based on the average load rate, the average capacity-demand ratio, the maximum demand fluctuation value, and the future production increase / decrease information over at least two historical billing periods. In this solution, parameters such as the average load rate, the average capacity-demand ratio, the maximum demand fluctuation value, and the future production increase / decrease information over at least two historical billing periods are determined based on historical information and future production plan information. Based on these parameters, a corresponding target billing strategy is selected, specifically quantifying the target enterprise's electricity consumption to provide a reasonable billing strategy and obtain the most economical payment mode for the enterprise.

[0109] like Figure 4 The flowchart shown is a fourth embodiment of a billing strategy selection method provided in this application. The method includes the following steps:

[0110] Step S401: Obtain the daily load rate, historical capacity, and historical maximum demand of the target enterprise for each historical billing period in at least two historical billing periods;

[0111] Step S402: Obtain information on the target company's future production plans;

[0112] Step S403: Based on the daily load rate of the historical billing period, determine the average load rate over the at least two historical billing periods;

[0113] Step S404: Based on the historical maximum demand and historical capacity of each historical billing period, determine the average capacity-demand ratio within two historical billing periods;

[0114] Step S405: Obtain the maximum demand fluctuation value within the at least two historical billing periods based on the historical maximum demand of at least two historical billing periods;

[0115] Step S406: Based on the analysis of future production plan information, obtain the target enterprise's future production increase or decrease information;

[0116] Steps S401-406 are the same as steps S301-306 in Example 3, and will not be described again in this example.

[0117] Step S407: If the average load factor is greater than the standard capacity-demand ratio, the average capacity-demand ratio in at least two historical billing periods is greater than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of no production reduction, select the first target strategy;

[0118] It should be noted that the target strategy is determined based on four parameters: average load factor, average capacity-to-demand ratio, future production increase / decrease information, and maximum demand fluctuation. Different strategies are selected as the target strategy based on the relative magnitudes of different parameters and thresholds.

[0119] The capacity-demand ratio in this standard represents the situation where capacity-based billing and demand-based billing are equally effective.

[0120] If the average load factor is greater than the standard capacity-to-demand ratio, capacity-based billing will be used first; if the average load factor is less than the standard capacity-to-demand ratio, maximum demand-based billing will be used first.

[0121] Furthermore, if the average capacity-to-demand ratio over multiple historical billing periods is greater than the standard capacity-to-demand ratio, capacity billing will be used first; if the average capacity-to-demand ratio is less than the standard capacity-to-demand ratio, maximum demand billing will be used first.

[0122] Moreover, if the target company does not reduce production in the future, that is, if it has a plan to significantly increase production or has no plan to increase or decrease production, the load factor of the target company may increase. The load factor is the ratio of the average apparent power output of the transformer to the rated capacity of the transformer over a certain period of time. Therefore, capacity billing is required.

[0123] Accordingly, the first objective strategy is to determine the electricity cost of the target enterprise based on its capacity and capacity unit price, and its electricity consumption and electricity unit price.

[0124] The primary objective strategy is to use contract capacity to charge basic electricity fees.

[0125] Step S408: If the average load factor is less than the standard capacity-demand ratio, the average capacity-demand ratio in the two historical billing periods is less than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of no production increase, select the second target strategy;

[0126] If the average load factor is less than the standard capacity-demand ratio, the maximum demand billing method will be used first.

[0127] Furthermore, if the average capacity demand over multiple historical billing periods is less than the standard capacity demand ratio, the maximum demand billing method will be used first.

[0128] Furthermore, if the target company does not increase production in the future, i.e., has a plan to significantly reduce production or has no plan to increase or reduce production, the load factor of the target company may decrease. The load factor is the ratio of the average apparent power output of the transformer to the rated capacity of the transformer over a certain period of time. Therefore, maximum continuity billing is required.

[0129] Accordingly, the second target strategy includes: determining the electricity cost of the target enterprise based on its actual maximum demand and demand unit price, and the electricity consumption and electricity unit price of the target enterprise.

[0130] The second objective strategy is to use the actual maximum demand method to charge basic electricity fees.

[0131] Step S409: If the average capacity-to-demand ratio in the two historical billing periods is greater than the first agreed threshold and less than the standard capacity-to-demand ratio, and the maximum demand fluctuation value in the at least two historical billing periods is less than the second agreed threshold, select the third target strategy.

[0132] If the average capacity demand over multiple historical billing periods is less than the standard capacity demand ratio and greater than the first agreed threshold, then the approved demand billing method will be used first.

[0133] The first agreed threshold is 40% of the sum of the transformer capacity and the high-voltage motor capacity.

[0134] The guidance document based on the billing strategy agreed upon with the power supply company states that "when the maximum demand verification value applied for is less than 40% of the total capacity of the transformer and the high-voltage motor, the contract maximum demand shall be verified at 40% of the total capacity." Therefore, in this embodiment, if the average capacity-demand ratio is greater than 40% of the total capacity but less than the standard capacity-demand ratio, the verified demand billing method is selected.

[0135] Moreover, if the maximum demand fluctuation within the multiple historical billing periods is small, that is, if the maximum demand fluctuation value is less than the second agreed threshold, then the actual maximum demand of the target enterprise remains stable and will not increase or decrease significantly. Therefore, the approved demand billing method is preferred.

[0136] The condition for determining whether the actual maximum demand remains stable is that the fluctuation value of the actual maximum demand is less than the second agreed threshold.

[0137] Specifically, the second agreed threshold can be ±5%. Of course, the value of the second agreed threshold is not limited to this, and other values ​​can be selected according to the actual situation in specific implementation.

[0138] The third objective strategy includes: determining the electricity cost of the target enterprise based at least on the agreed maximum demand and demand unit price, and the electricity consumption and electricity unit price of the target enterprise.

[0139] The third objective strategy is to adopt a basic electricity charge method based on the approved demand.

[0140] In practice, a table can be set up to correspond the target strategy with the selection conditions, as shown in Table 1 below.

[0141] Table 1

[0142] 1 Based on contract capacity <![CDATA[P>N 标 N 平均 >N 标 S1 or S2 2 Based on actual maximum demand <![CDATA[P<N 标 N 平均 <N 标 S2 or S3 3 According to the approved demand <![CDATA[40%<N 平均 <N 标 ,Y≤±5%]]>

[0143] In this context, the average load factor is represented by P, and the average capacity-to-demand ratio is represented by N. 平均 Information on future production increases and decreases is represented by S (S1 indicates a significant increase in production, S2 indicates no significant increase or decrease in production, and S3 indicates a significant decrease in production). Maximum demand fluctuation is represented by Y, and the standard capacity-demand ratio is represented by N. 标 express.

[0144] In summary, the billing strategy selection method provided in this embodiment includes: selecting a first target strategy if the average load factor is greater than the standard capacity-demand ratio, the average capacity-demand ratio over two historical billing periods is greater than the standard capacity-demand ratio, and future production increase / decrease information meets the condition of no production reduction, wherein the standard capacity-demand ratio is determined based on the historical capacity of the target enterprise; selecting a second target strategy if the average load factor is less than the standard capacity-demand ratio, the average capacity-demand ratio over at least two historical billing periods is less than the standard capacity-demand ratio, and future production increase / decrease information meets the condition of no production increase; and selecting a third target strategy if the capacity-demand ratio over two historical billing periods is greater than a first predetermined threshold and less than the standard capacity-demand ratio, and the maximum demand fluctuation value over at least two historical billing periods is less than a second predetermined threshold. In this scheme, the target strategy is determined based on four parameters: average load factor, average capacity-demand ratio, future production increase / decrease information, and maximum demand fluctuation value. Different strategies are selected as target strategies based on the relative magnitudes of different parameters and thresholds. The electricity consumption of the target enterprise is specifically quantified to provide a reasonable billing strategy for the target enterprise and obtain the most economical payment mode for the enterprise.

[0145] like Figure 5 The flowchart shown is a 5th embodiment of a billing strategy selection method provided in this application. The method includes the following steps:

[0146] Step S501: Obtain the daily load rate, historical capacity, and historical maximum demand of the target enterprise for each historical billing period in at least two historical billing periods;

[0147] Step S502: Obtain information on the target company's future production plans;

[0148] Steps S501-502 are the same as steps S401-402 in Example 4, and will not be described again in this example.

[0149] Step S503: Obtain the capacity billing unit price and the demand billing unit price;

[0150] Among them, the capacity-based billing unit price is the unit price used to determine the basic electricity cost when using contract capacity billing. Based on the capacity-based billing unit price and the capacity of the target enterprise, the basic electricity cost of the target enterprise when using capacity billing can be determined.

[0151] Among them, the demand-based billing unit price is the unit price used when determining the basic electricity cost using maximum demand billing. Based on the demand-based billing unit price and the target company's maximum demand, the basic electricity cost of the target company when using maximum demand billing can be determined.

[0152] It should be noted that the unit price for capacity billing and the unit price for demand billing are unit prices stipulated by the national authorities. The stipulated unit prices may vary from province to province. The power supply company agrees on the billing strategy with the enterprise based on the stipulated unit price.

[0153] Step S504: Based on the capacity billing unit price and the target enterprise's historical capacity in at least two historical billing periods, as well as the demand billing unit price, determine the target enterprise's target maximum demand;

[0154] The capacity of an enterprise is generally a fixed value, which is the sum of the enterprise's transformer capacity and high-voltage motor capacity.

[0155] The target maximum demand of the target enterprise is determined based on three fixed values: capacity billing unit price, the target enterprise's historical capacity, and demand billing unit price.

[0156] It should be noted that the standard capacity-to-demand ratio represents the situation where capacity-based billing and demand-based billing are equivalent.

[0157] Therefore, the target maximum demand = capacity billing unit price × historical capacity / demand billing unit price.

[0158] Step S505: Determine the standard capacity-demand ratio based on the historical capacity and the target maximum demand of the target enterprise;

[0159] The standard capacity-demand ratio is obtained by dividing the historical capacity by the target maximum demand.

[0160] Generally, as long as the three fixed values ​​used to determine the target maximum demand remain unchanged, the value of the target maximum demand will also remain unchanged, and the standard capacity-demand ratio will also remain unchanged. Therefore, the standard capacity-demand ratio of the same enterprise is generally a fixed value.

[0161] Of course, in practical applications, if any of the capacity billing unit price, the target enterprise's historical capacity, or the demand billing unit price changes, the standard capacity-demand ratio needs to be re-determined. If it does not change, the standard capacity-demand ratio determined initially can be stored, and it can be used directly when selecting the target billing strategy in the future. There is no need to calculate the standard capacity-demand ratio every time the target billing strategy is selected.

[0162] Step S506: Based on the daily load rate of the historical billing period, determine the average load rate over the at least two historical billing periods;

[0163] Step S507: Based on the historical maximum demand and historical capacity of each historical billing cycle, determine the average capacity-demand ratio within the at least two historical billing cycles;

[0164] Step S508: Obtain the maximum demand fluctuation value within the at least two historical billing periods based on the historical maximum demand of at least two historical billing periods;

[0165] Step S509: Based on the analysis of future production plan information, obtain the target enterprise's future production increase or decrease information;

[0166] Step S510: If the average load factor is greater than the standard capacity-demand ratio, the average capacity-demand ratio in the two historical billing periods is greater than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of no production reduction, select the first target strategy;

[0167] Step S511: If the average load factor is less than the standard capacity-demand ratio, the average capacity-demand ratio in the two historical billing periods is less than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of no production increase, select the second target strategy;

[0168] Step S512: If the capacity-demand ratio in the two historical billing periods is greater than the first agreed threshold and less than the standard capacity-demand ratio, and the maximum demand fluctuation value in the at least two historical billing periods is less than the second agreed threshold, select the third target strategy.

[0169] Steps S506-512 are the same as steps S403-409 in Example 4, and will not be described again in this example.

[0170] In summary, the billing strategy selection method provided in this embodiment further includes: obtaining the capacity billing price and the demand billing price; determining the target maximum demand value of the target enterprise based on the capacity billing price, the historical capacity of the target enterprise in at least two historical billing periods, and the demand billing price; and determining the standard capacity-demand ratio based on the historical capacity and the target maximum demand of the target enterprise. This solution provides a method for determining the standard capacity-demand ratio, providing a basis for subsequent target strategy selection.

[0171] Corresponding to the above-described embodiment of a billing strategy selection method provided in this application, this application also provides an embodiment of an apparatus for applying the billing strategy selection method.

[0172] like Figure 6 The diagram shown is a structural schematic of an embodiment of a billing strategy selection device provided in this application. The device includes the following structure: an acquisition module 601 and a selection module 602.

[0173] The acquisition module 601 is used to acquire historical information and future production plan information of the target enterprise within at least two historical billing periods;

[0174] The selection module 602 is used to select a target billing strategy from at least two billing strategies based on historical information and future production plan information, and the target billing strategy is applied to the next billing cycle.

[0175] Optionally, this acquisition module is specifically used for:

[0176] Obtain the target company's daily load rate, historical capacity, and historical maximum demand for each of at least two historical billing periods.

[0177] Optionally, the selection module includes:

[0178] An average load rate determination unit is used to determine the average load rate within the at least two historical billing periods based on the daily load rate of the historical billing periods.

[0179] The average capacity-demand ratio determination unit is used to determine the average capacity-demand ratio within the at least two historical billing periods based on the historical maximum demand and historical capacity for each historical billing period.

[0180] The maximum demand fluctuation value determination unit is used to obtain the maximum demand fluctuation value within the at least two historical billing periods based on the historical maximum demand of at least two historical billing periods.

[0181] The production increase / decrease information determination unit is used to analyze future production plan information to obtain the target enterprise's future production increase / decrease information;

[0182] The selection unit is used to select a target billing strategy based on the average load rate over the at least two historical billing periods, the average capacity-demand ratio, the maximum demand fluctuation value, and the future production increase / decrease information.

[0183] Optional, the maximum demand fluctuation value determination unit is specifically used for:

[0184] The average maximum demand for the at least two historical billing periods is determined based on the historical maximum demand for each historical billing period.

[0185] The maximum demand fluctuation value is determined based on the average maximum demand and the historical maximum demand of at least two historical billing periods.

[0186] Optionally, the selection unit is specifically used for:

[0187] If the average load factor is greater than the standard capacity-demand ratio, the average capacity-demand ratio in the two historical billing periods is greater than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of no production reduction, the first target strategy is selected. The standard capacity-demand ratio is determined based on the historical capacity of the target enterprise.

[0188] If the average load factor is less than the standard capacity-demand ratio, the average capacity-demand ratio in at least two historical billing periods is less than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of not increasing production, then the second objective strategy is selected.

[0189] If the average capacity-to-demand ratio over the two historical billing periods is greater than the first agreed threshold but less than the standard capacity-to-demand ratio, and the maximum demand fluctuation value over the at least two historical billing periods is less than the second agreed threshold, then the third target strategy is selected.

[0190] Optional, also includes:

[0191] The standard capacity-demand ratio determination module is used to obtain the capacity billing unit price and the demand billing unit price; based on the capacity billing unit price and the target enterprise's historical capacity in at least two historical billing periods, and the demand billing unit price, to determine the target enterprise's target maximum demand; and based on the historical capacity and the target enterprise's target maximum demand, to determine the standard capacity-demand ratio.

[0192] Optional,

[0193] The first target strategy is to determine the electricity cost of the target enterprise based on its capacity and capacity unit price, and its electricity consumption and electricity unit price.

[0194] The second target strategy includes: determining the electricity cost of the target enterprise based on its actual maximum demand and demand unit price, and the electricity consumption and electricity unit price of the target enterprise;

[0195] The third objective strategy includes: determining the electricity cost of the target enterprise based at least on the agreed maximum demand and demand unit price, and the electricity consumption and electricity unit price of the target enterprise.

[0196] It should be noted that the structural functions of the device involved in this embodiment are explained in the above method embodiments, and will not be repeated in this embodiment.

[0197] In summary, this application provides a billing strategy selection device, comprising: obtaining historical information and future production plan information of a target enterprise within at least two historical billing periods; and selecting a target billing strategy from at least two billing strategies based on the historical information and future production plan information, wherein the target billing strategy is applied to the next billing period. In this solution, by combining historical information and future production plan information from multiple historical billing periods, a target billing strategy is automatically selected from multiple billing strategies for application in the next billing period. The determined target billing strategy combines both billing-related historical information and future production plan information, making the selected billing strategy more closely aligned with the target enterprise's capacity usage, thus making the billing strategy chosen by the target enterprise more economical.

[0198] Corresponding to the above-described embodiment of a billing strategy selection method provided in this application, this application also provides an electronic device and a readable storage medium corresponding to the billing strategy selection method.

[0199] The electronic device includes: a memory and a processor;

[0200] The memory stores the processing program;

[0201] The processor is used to load and execute the processing program stored in the memory to implement the steps of the billing strategy selection method as described in any of the preceding claims.

[0202] For details on the specific method for selecting the billing strategy for this electronic device, please refer to the aforementioned implementation example of the billing strategy selection method.

[0203] The readable storage medium stores a computer program that is invoked and executed by a processor to implement the steps of the billing strategy selection method as described in any of the preceding claims.

[0204] For details on the specific method for selecting a billing strategy by executing a computer program stored on the readable storage medium, please refer to the aforementioned embodiment of the billing strategy selection method.

[0205] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The apparatus provided in the embodiments is described simply because it corresponds to the method provided in the embodiments; relevant parts can be found in the method section.

[0206] The above description of the provided embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily 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 this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features provided herein.

Claims

1. A method for selecting a billing strategy, characterized in that, include: Obtain historical information and future production plan information of the target enterprise for at least two historical billing periods, including: daily load rate, historical capacity, and historical maximum demand for each historical billing period of the target enterprise for at least two historical billing periods; Based on historical information and future production plan information, select a target billing strategy from at least two billing strategies, including: averaging the daily load rate for each historical billing period to obtain the monthly average load rate for the historical billing period, and averaging the monthly average load rates of multiple historical billing periods to obtain the average load rate over at least two historical billing periods. Based on the historical maximum demand and historical capacity of each historical billing period, determine the average capacity-demand ratio within the at least two historical billing periods; The maximum demand fluctuation value within the at least two historical billing periods is obtained based on the historical maximum demand of at least two historical billing periods; Based on the analysis of future production plan information, the target company's future production increase or decrease information is obtained; Based on the average load factor over at least two historical billing periods, the average capacity-to-demand ratio, the maximum demand fluctuation value, and the future production increase / decrease information, a target billing strategy is selected, and the target billing strategy is applied to the next billing period.

2. The method according to claim 1, characterized in that, The process of obtaining the maximum demand fluctuation value within the at least two historical billing periods based on the historical maximum demand includes: The average maximum demand for the at least two historical billing periods is determined based on the historical maximum demand for each historical billing period. The maximum demand fluctuation value is determined based on the average maximum demand and the historical maximum demand of at least two historical billing periods.

3. The method according to claim 1, characterized in that, Based on the average load factor over at least two historical billing periods, the average capacity-to-demand ratio, the maximum demand fluctuation value, and the future production increase / decrease information, a target billing strategy is selected, including: If the average load factor is greater than the standard capacity-demand ratio, the average capacity-demand ratio in the two historical billing periods is greater than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of no production reduction, the first target strategy is selected. The standard capacity-demand ratio is determined based on the historical capacity of the target enterprise. If the average load factor is less than the standard capacity-demand ratio, the average capacity-demand ratio in at least two historical billing periods is less than the standard capacity-demand ratio, and the future production increase / decrease information meets the condition of not increasing production, then the second objective strategy is selected. If the average capacity-to-demand ratio over the two historical billing periods is greater than the first agreed threshold but less than the standard capacity-to-demand ratio, and the maximum demand fluctuation value over the at least two historical billing periods is less than the second agreed threshold, then the third target strategy is selected.

4. The method according to claim 3, characterized in that, Before selecting a target billing strategy from at least two billing strategies based on historical information and future production plan information, the process also includes: Obtain the capacity billing unit price and the demand billing unit price; Based on the capacity billing unit price and the target enterprise's historical capacity in at least two historical billing periods, as well as the demand billing unit price, determine the target enterprise's target maximum demand; Based on the historical capacity and the target enterprise's target maximum demand, the standard capacity-demand ratio is determined.

5. The method according to claim 3, characterized in that, The first target strategy is to determine the electricity cost of the target enterprise based on its capacity and capacity unit price, and its electricity consumption and electricity unit price. The second target strategy includes: determining the electricity cost of the target enterprise based on its actual maximum demand and demand unit price, and the electricity consumption and electricity unit price of the target enterprise; The third objective strategy includes: determining the electricity cost of the target enterprise based at least on the agreed maximum demand and demand unit price, and the electricity consumption and electricity unit price of the target enterprise.

6. A billing strategy selection device, characterized in that, include: The acquisition module is used to obtain historical information and future production plan information of the target enterprise within at least two historical billing periods; The selection module is used to select a target billing strategy from at least two billing strategies based on historical information and future production plan information, and the target billing strategy is applied to the next billing cycle. Specifically, the acquisition module is used for: Obtain the target enterprise's daily load rate, historical capacity, and historical maximum demand for each of at least two historical billing periods; The selection module includes: The average load rate determination unit is used to average the daily load rate for each historical billing period to obtain the monthly average load rate for the historical billing period, and to average the monthly average load rates of multiple historical billing periods to obtain the average load rate over at least two historical billing periods. The average capacity-demand ratio determination unit is used to determine the average capacity-demand ratio within the at least two historical billing periods based on the historical maximum demand and historical capacity for each historical billing period. The maximum demand fluctuation value determination unit is used to obtain the maximum demand fluctuation value within the at least two historical billing periods based on the historical maximum demand of at least two historical billing periods. The production increase / decrease information determination unit is used to analyze future production plan information to obtain the target enterprise's future production increase / decrease information; The selection unit is used to select a target billing strategy based on the average load rate over the at least two historical billing periods, the average capacity-demand ratio, the maximum demand fluctuation value, and the future production increase / decrease information.

7. An electronic device, characterized in that, The electronic device includes: at least one memory and at least one processor; the memory stores a program, and the processor calls the program stored in the memory, the program being used to implement the billing strategy selection method according to any one of claims 1-5.

8. A readable storage medium, characterized in that, It stores a computer program, which is called and executed by a processor to implement the steps of the billing strategy selection method as described in any one of claims 1-5.

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