A method and system for quantifying retail electricity price packages for industrial and commercial users

Abstract

The present invention discloses a method for quantifying retail electricity price packages for industrial and commercial users, including the following steps: obtaining relevant data required for calculation; determining retail electricity price packages for industrial and commercial users according to the user's electricity consumption characteristics, and classifying them according to the load rate; establishing a load rate electricity price theoretical model according to various load rates, simultaneous rates and the total electricity charges of industrial and commercial users, and determining the initial value of the electricity price corresponding to each load rate; adjusting the initial value of the electricity price for each load rate according to the actual electricity demand forecast of industrial and commercial users, and determining the final value of the retail electricity price packages for industrial and commercial users of various load rates. The present invention can quickly realize differentiated retail price levels for users of different industrial and commercial types, solve the problem of accurate pricing of various industrial and commercial users and their applicable retail electricity price packages that may appear in the market, effectively guide industrial and commercial users to change their consumption habits, optimize resource allocation, and ensure the safe and stable operation of the power system.

Description

Technical Field

[0001] The present invention relates to the technical field of optimal configuration of power grid resources, and in particular to a method and system for quantifying retail electricity price packages for industrial and commercial users. Background Art

[0002] The State Grid Corporation of China divides electricity consumption into four categories based on the nature of the users: residential electricity consumption, general industrial and commercial electricity consumption, large industrial electricity consumption, and agricultural production electricity consumption. Some cities also divide electricity consumption into non-residential lighting categories, and there are also separate categories for agricultural irrigation and drainage. There are more detailed divisions in each category, and they all have different electricity prices.

[0003] At present, the existing retail electricity price packages for industrial and commercial users have a single pricing target, with the main goal of ensuring that the power sales company obtains profits. There are few price signals that encourage electricity consumption behavior, and the existing electricity prices overemphasize the level of efficiency. They are lacking in taking into account fair burdens and public policy goals. The social functions that electricity prices should bear are not played. At the same time, electricity prices are not formulated according to the load characteristics of users, and they cannot reflect the differences in electricity costs for industrial and commercial users, which is not enough to encourage users. In addition, the retail electricity price level is arbitrary and simple, and is mostly determined by negotiation between power sales companies and industrial and commercial users. There are serious subjective judgments in the formulation of electricity sales prices, which cannot fully reflect the supply and demand situation of the retail market, and the role of economic leverage is limited.

[0004] In view of this, there is an urgent need to provide a method that can quickly achieve differentiated retail price levels for different industrial and commercial users and solve the problem of accurate pricing of various users that may appear in the market and their applicable retail electricity price packages. Summary of the invention

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is to provide a method for quantifying retail electricity price packages for industrial and commercial users, including the following steps:

[0006] Obtain relevant data required for calculation, including user load at each time point and total electricity charges for industrial and commercial users;

[0007] Determine retail electricity price packages for industrial and commercial users based on their electricity consumption characteristics and classify them by load rate;

[0008] According to various load rates, simultaneity rates and the total electricity charges of industrial and commercial users, a load rate electricity price theoretical model is established to determine the initial value of electricity price corresponding to each load rate;

[0009] Adjustments are made to the initial value of electricity prices for each load rate based on the actual electricity demand forecast for industrial and commercial users, to determine the final value of the retail electricity price package for industrial and commercial users with each load rate.

[0010] In the above method, the load rate classification is achieved by an automatic clustering method of second-order clustering.

[0011] In the above method, the automatic clustering method of second-order clustering is used to implement the load rate classification, which includes the following steps:

[0012] First, any load rate is placed at the root node of the tree to record the variable information of the load rate; then, according to the set distance measurement, as the similarity basis, each other load rate is placed in the most similar node according to its similarity with the load rate at the root node. If a load rate does not find a node that is sufficiently similar to other load rates, a new node is formed;

[0013] Then, the nodes of the cluster feature tree are grouped using an agglomerative clustering method to determine the optimal number of clusters.

[0014] In the above method, the initial value of the electricity price is adjusted according to the actual electricity demand forecast of industrial and commercial users to determine the final value of the retail electricity price package for industrial and commercial users of various load rates, including the following steps:

[0015] S41, selecting a two-part electricity price corresponding to a load rate industrial and commercial user i and adjusting it;

[0016] S42. Calculate the two-part electricity price level for other types of industrial and commercial users;

[0017] S43. Based on the principle that the total electricity charges of users remain unchanged, the final value of the two-part electricity price for industrial and commercial users of various load rates shall be determined.

[0018] In the above method, step S42 comprises the steps of:

[0019] S421, respectively determining the price ratio of the basic electricity price in the two-part electricity price corresponding to the industrial and commercial users of other types of load rates and the basic electricity price in the two-part electricity price corresponding to the industrial and commercial users of the load rate in step S41;

[0020] S422. At the intersection of various load rates, based on the principle of consistent electricity expenditures for industrial and commercial users, the electricity volume and electricity price levels for industrial and commercial users with other load rates are calculated separately.

[0021] The present invention also provides a quantification system for retail electricity price packages for industrial and commercial users, comprising

[0022] Data input module: used to input relevant data required for calculation, including the user's load at each time point and the total electricity charges of industrial and commercial users;

[0023] Load rate classification module: used to determine the retail electricity price packages for industrial and commercial users based on the input data and the user's electricity consumption characteristics, and classify them according to the load rate;

[0024] Load rate electricity price initial value calculation module: used to establish a load rate electricity price theoretical model based on various load rates, simultaneous rates and total electricity charges for industrial and commercial users, and determine the initial value of electricity price corresponding to each load rate;

[0025] Retail electricity price package confirmation module: used to make adjustments to the initial value of the electricity price for each load rate based on the actual electricity demand of industrial and commercial users, and determine the final value of the retail electricity price package for industrial and commercial users corresponding to each load rate.

[0026] In the above solution, the load rate classification module implements the load rate classification through an automatic clustering method of second-order clustering.

[0027] In the above scheme, the load rate electricity price initial value calculation module implements the following steps:

[0028] Select one type of load rate industrial and commercial users corresponding to the two-part electricity price for adjustment;

[0029] Calculate the two-part electricity price level for other types of industrial and commercial users;

[0030] Based on the principle that the total electricity bill of users remains unchanged, the final value of the two-part electricity price for industrial and commercial users with various load rates is determined.

[0031] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for quantifying retail electricity price packages for industrial and commercial users when executing the computer program.

[0032] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for quantifying the retail electricity price package for industrial and commercial users as described above is implemented.

[0033] The present invention determines the retail electricity price packages for industrial and commercial users according to the users' electricity consumption characteristics and classifies them according to the load rate, then calculates the initial values ​​of various electricity price levels according to the load rate, concurrency rate and their relationship with the electricity consumption cost of industrial and commercial users, and adjusts the initial electricity price values ​​according to the actual electricity consumption behavior predictions of industrial and commercial users to form the final values ​​of various electricity price levels. This can quickly achieve differentiated retail price levels for different types of industrial and commercial users, solve the problem of accurate pricing of various industrial and commercial users and their applicable retail electricity price packages that may appear in the market, effectively guide industrial and commercial users to change their consumption habits, optimize resource allocation, and ensure safe and stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 A flow chart of the method provided by the present invention;

[0036] Figure 2 A flowchart of step S4 in the method provided by the present invention;

[0037] Figure 3 A schematic diagram of the system framework provided by the present invention;

[0038] Figure 4 A schematic diagram of a computer device framework provided by the present invention. DETAILED DESCRIPTION

[0039] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0041] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0042] The present invention is described in detail below in conjunction with specific implementation methods and the accompanying drawings.

[0043] like Figure 1-2 As shown, the present invention provides a method for quantifying retail electricity price packages for industrial and commercial users, comprising the following steps:

[0044] S1. Obtain relevant data required for calculation, including the user's load at each time point and the total electricity charges of industrial and commercial users;

[0045] S2. Determine the retail electricity price packages for industrial and commercial users based on their electricity consumption characteristics and classify them by load rate.

[0046] In this embodiment, the load rate is classified by an automatic clustering method of second-order clustering;

[0047] The automatic clustering method based on second-order clustering classifies each load rate, which specifically includes the following steps:

[0048] S21, construct a clustering feature tree, and initially cluster the load rate (observation) into several subclasses, specifically:

[0049] First, any load rate (observation) is placed at the root node of the tree to record the variable information of the load rate (observation); then, based on the set distance measure, each other load rate (observation) is placed in the most similar node according to its similarity with the load rate (observation) at the root node. If a load rate (observation) does not find a node that is sufficiently similar to other load rates (observations), a new node is formed.

[0050] S22, using agglomerative clustering to group the nodes of the clustering feature tree, and determining the optimal number of clusters, that is, the optimal load rate grouping.

[0051] S3. According to various load rates, concurrency rates and the total electricity charges of industrial and commercial users, a load rate electricity price theoretical model is established to determine the initial value of the electricity price corresponding to each load rate; in this embodiment, the load rate is the percentage of the average load to the maximum load within the statistical period (day, month, year); the concurrency rate is the ratio of the comprehensive maximum load of the power system to the sum of the absolute maximum loads of each component unit of the power system. In this step, the initial value of the electricity price corresponding to each load rate is first calculated, and the initial value is adjusted on this basis to form the final value.

[0052] In this embodiment, the load rate electricity price theoretical model is as follows:

[0053] P b,i =AC b,i ·e i ·d i

[0054]

[0055] Where:

[0056] P b,i is the basic electricity price for the i-th category of industrial and commercial users;

[0057] P q,i is the electricity price for the i-th type of industrial and commercial users;

[0058] AC b,i is the unit capacity cost of the i-th type of industrial and commercial users;

[0059] C b is the total capacity cost that needs to be recovered by the load rate electricity price,

[0060] C b,i The capacity fee to be recovered for the i-th category of industrial and commercial users;

[0061] Q is the user's power consumption,

[0062] Q i The electricity consumption of the i-th category of industrial and commercial users;

[0063] F i is the load rate of the i-th category of industrial and commercial users, which is the ratio of the average load to the maximum load during the statistical period;

[0064] P max,i is the maximum load of the i-th category industrial and commercial users;

[0065] d i is the simultaneous rate of the i-th category of industrial and commercial users, the ratio of the comprehensive maximum load of the power system to the sum of the absolute maximum loads of each component unit of the power system;

[0066] e i The ratio of capacity charges to the basic electricity price for the i-th category of industrial and commercial users;

[0067] i is the industrial and commercial users of various load rates, i = Ⅰ, Ⅱ, Ⅲ, representing industrial and commercial users with low, medium and high load rates respectively;

[0068] T is the monthly calendar hour, which is 730 hours;

[0069] V is the variable (fuel) cost, RMB / kWh.

[0070] Based on the above model, the initial value of the electricity price for each load factor (two-part electricity price) is calculated.

[0071] P b,i =AC b,i ·e i ·d i

[0072]

[0073] S4. Adjust the initial value of the electricity price for each load rate according to the actual electricity demand (behavior) forecast of industrial and commercial users, and determine the final value of the retail electricity price package for industrial and commercial users corresponding to each load rate.

[0074] In this embodiment, according to the load rate electricity price calculated theoretically, there will be two problems: first, the price ratio of the two-part electricity price and the relationship between different types of load rate electricity prices may be different from the actual situation; second, the recovered cost may be lower than the actual recovered cost. This is because the intersection of the comprehensive electricity price curve of the load rate electricity price calculated according to the load characteristics of various types of load rate users is inconsistent with our expected intersection. When industrial and commercial users choose according to the theoretical load rate electricity price, they choose other load rate electricity prices that are beneficial to industrial and commercial users, rather than the electricity price of the load rate of the industrial and commercial users themselves. This may cause the power grid company's recovery cost of electricity to be lower than the expected recovery cost.

[0075] Therefore, in this embodiment, the various load rate electricity prices calculated according to the theory need to be adjusted according to the actual situation, and the operational electricity prices that meet the actual situation are calculated, which specifically includes the following steps:

[0076] S41. Select one type of load rate industrial and commercial user i and adjust the two-part electricity price.

[0077] S42, calculating the two-part electricity price level for other types of load rate industrial and commercial users, including the following steps:

[0078] S421. Determine the price ratio of the basic electricity price in the two-part electricity price corresponding to the industrial and commercial user i of other types of load rate and the basic electricity price in the two-part electricity price corresponding to the industrial and commercial user i of the load rate described in step S41.

[0079] S422. At the intersection of various load rates, the electricity expenditures of industrial and commercial users are consistent, and the electricity consumption and electricity price levels of industrial and commercial users i of other load rates are calculated respectively.

[0080] S43. Based on the principle that the total electricity charges for users remain unchanged, the final value of the two-part electricity price for industrial and commercial users of various load rates is determined; the principle that the total electricity charges for users remain unchanged is that the total electricity charges remain unchanged before and after the electricity price adjustment.

[0081] The following uses low, medium and high load rates as examples to illustrate step S4, which is as follows:

[0082] According to step S41, the medium load rate electricity price is selected to be adjusted first, and according to the principle of cost balance, the proportion of the two-part electricity price is adjusted to determine the two-part electricity price level corresponding to the industrial and commercial users with a medium load rate.

[0083]

[0084] Where:

[0085] P' b,II The basic electricity price adjusted for industrial and commercial users with medium load rates;

[0086] P' q,II The electricity price after adjustment for medium load rate industrial and commercial users;

[0087] ρ II It is the proportion of basic electricity charges for industrial and commercial users with medium load rate in the total electricity charges.

[0088] According to step S42, the two-part electricity price levels for industrial and commercial users corresponding to low and high load rates are calculated, specifically including:

[0089] According to step S421, first, the price ratio of the basic electricity price of high and low load rates to the basic electricity price of medium load rate is determined, and the calculation formula is as follows:

[0090] P' b,I =r I-II P' b,II

[0091] P' b,III =r III-II P' b,II

[0092] Where:

[0093] P' b,IThe basic electricity price adjusted for low-load industrial and commercial users;

[0094] P' b,III The basic electricity price adjusted for high-load industrial and commercial users;

[0095] ρ I-II It is the ratio of the basic electricity price for low-load industrial and commercial users to the basic electricity price for medium-load users, which is less than 1.

[0096] ρ III-II It is the ratio of the basic electricity price for high-load industrial and commercial users to the basic electricity price for medium-load users, which is greater than 1.

[0097] Then according to step S422, based on the price selectivity principle, at the intersection of high, medium and low load rates, the electricity price levels of industrial and commercial users i with high and low load rates are calculated respectively according to the principle of price selectivity and the principle of consistent user electricity expenditure.

[0098] The calculation formula is as follows:

[0099]

[0100] Where:

[0101] P' q,I The electricity price after adjustment for low-load industrial and commercial users;

[0102] P' q,III The electricity price after adjustment for high-load industrial and commercial users;

[0103] T1 is the time dividing point for distinguishing low-load industrial and commercial users from medium-load users. For example, if the monthly maximum load utilization hours of industrial and commercial users are less than 250 hours, they are low-load users, and T1 is 250 hours.

[0104] T2 is the time dividing point between high-load industrial and commercial users and medium-load industrial and commercial users.

[0105] According to step S43, the two-part electricity price for industrial and commercial users with different load rates is finally determined.

[0106] Since the total electricity bill calculated based on the two-part electricity price for industrial and commercial users with various load rates calculated in steps one and two is not consistent with the total cost that needs to be recovered, there is a certain difference. Therefore, it is necessary to adjust the electricity price calculated above to balance the total cost.

[0107] The adjustment method is to maintain the basic electricity price for industrial and commercial users with various load rates unchanged, and only adjust the electricity price for the electricity volume of industrial and commercial users with various load rates; the basic electricity price remains unchanged to maintain price stability. If both the basic electricity price and the electricity volume price change, the price will be uncertain.

[0108] The adjustment amount of electricity price for industrial and commercial users of various load rates is calculated by dividing the total cost difference of industrial and commercial users of various load rates by the total electricity. Therefore, the final two-part electricity price calculation for industrial and commercial users of various load rates is determined as follows:

[0109] The adjustment range of electricity price for each load rate user's electricity consumption is calculated as follows:

[0110]

[0111] The final calculation formula of the two-part electricity price for industrial and commercial users at each load rate is:

[0112]

[0113] Where:

[0114] These are the final basic electricity prices for industrial and commercial users with low, medium and high load rates respectively;

[0115] These are the final electricity prices for industrial and commercial users with low, medium and high load rates respectively.

[0116] F i is the load rate of the i-th type of industrial and commercial users;

[0117] d i is the simultaneous rate of the i-th category of industrial and commercial users.

[0118] like Figure 3 As shown, the present invention also provides a quantification system for retail electricity price packages for industrial and commercial users, including:

[0119] Data input module: used to input relevant data required for calculation, including the user's load at each time point and the total electricity cost of industrial and commercial users;

[0120] Load rate classification module: used to determine the retail electricity price packages for industrial and commercial users based on the input data and user electricity consumption characteristics, and classify them according to the load rate.

[0121] In this embodiment, the load rate classification module classifies each load rate based on the automatic clustering method of second-order clustering, which specifically includes the following steps:

[0122] A21. Construct a cluster feature tree and initially cluster the load rate (observation) into several subclasses, specifically:

[0123] First, place any load rate (observation) at the root node of the tree to record the variable information of the load rate (observation); then, based on the set distance measure and the similarity basis, place each other load rate (observation) into the most similar node according to its similarity to the load rate (observation) at the root node. If a load rate (observation) does not find a node that is sufficiently similar to other load rates (observations), a new node is formed.

[0124] A22. Use agglomerative clustering to group the nodes of the cluster feature tree and determine the optimal number of clusters, that is, the optimal load rate grouping.

[0125] Load rate electricity price initial value calculation module: used to establish a load rate electricity price theoretical model based on various load rates, concurrency rates and total electricity charges of industrial and commercial users, and determine the initial value of electricity price corresponding to each load rate.

[0126] In this embodiment, the load rate electricity price initial value calculation module establishes a load rate electricity price theoretical model as follows:

[0127] P b,i =AC b,i ·e i ·d i

[0128]

[0129] Where:

[0130] P b,i is the basic electricity price for the i-th category of industrial and commercial users;

[0131] P q,i is the electricity price for the i-th type of industrial and commercial users;

[0132] AC b,i is the unit capacity cost of the i-th type of industrial and commercial users;

[0133] C b is the total capacity cost that needs to be recovered by the load rate electricity price,

[0134] C b,i The capacity fee to be recovered for the i-th category of industrial and commercial users;

[0135] Q is the user's power consumption,

[0136] Q i The electricity consumption of the i-th category of industrial and commercial users;

[0137] F i is the load rate of the i-th category of industrial and commercial users, which is the ratio of the average load to the maximum load during the statistical period;

[0138] P max,i is the maximum load of the i-th category industrial and commercial users;

[0139] d i is the simultaneous rate of the i-th category of industrial and commercial users, the ratio of the comprehensive maximum load of the power system to the sum of the absolute maximum loads of each component unit of the power system;

[0140] e i The ratio of capacity charges to the basic electricity price for the i-th category of industrial and commercial users;

[0141] i is the industrial and commercial users of various load rates, i = Ⅰ, Ⅱ, Ⅲ, representing industrial and commercial users with low, medium and high load rates respectively;

[0142] T is the monthly calendar hour, which is 730 hours;

[0143] V is the variable (fuel) cost, RMB / kWh.

[0144] The load factor electricity price initial value calculation module calculates the initial value of the electricity price for each load factor according to the above model.

[0145] Retail electricity price package confirmation module: used to adjust the initial value of the electricity price according to the actual electricity demand (behavior) forecast of industrial and commercial users, and determine the final value of the retail electricity price package for industrial and commercial users corresponding to various load rates.

[0146] In this embodiment, the retail electricity price package confirmation module determines the final value of the two-part electricity price for industrial and commercial users of various load rates through the following steps, specifically including the following steps:

[0147] A41. Select one of the two-part electricity prices corresponding to the industrial and commercial user i with the load rate and make adjustments.

[0148] A42. Calculation of the two-part electricity price level for other types of industrial and commercial users, including the following steps:

[0149] A421. Determine the price ratio of the basic electricity price in the two-part electricity price corresponding to the industrial and commercial user i of other types of load rate and the basic electricity price in the two-part electricity price corresponding to the industrial and commercial user i of the load rate described in step A41.

[0150] A422. At the intersection of various load rates, the electricity price level of industrial and commercial users i with other load rates is calculated separately based on the principle of consistent electricity expenditures for industrial and commercial users.

[0151] A43. Based on the principle that the total electricity charges for users remain unchanged, the final value of the two-part electricity price for industrial and commercial users of various load rates is determined; the principle that the total electricity charges for users remain unchanged is that the total electricity charges remain unchanged before and after the electricity price adjustment.

[0152] The specific calculation of the load rate electricity price initial value calculation module can refer to the specific content of the above method, which will not be repeated here.

[0153] The beneficial effects of the present invention are as follows:

[0154] 1. The present invention adopts a second-order clustering method to classify the retail electricity price packages for industrial and commercial users according to the load rate, making the user classification more accurate than general manual determination.

[0155] 2. The present invention takes into account the differences in user categories and electricity load characteristics, proposes selectable retail electricity price packages, attracts industrial and commercial users and improves their selectivity, and designs different retail electricity price systems in different stages of the liberalization of the electricity sales side.

[0156] Solve the problem of accurate pricing of various industrial and commercial users that may appear in the market and their applicable retail electricity price packages, effectively guide industrial and commercial users to change their consumption habits, optimize resource allocation, and ensure the safe and stable operation of the power system.

[0157] like Figure 4 As shown, the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the distribution network technical transformation system that takes into account key indicators to improve operating effects in the above-mentioned embodiment is implemented.

[0158] The present invention also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the recognition model training method in the above-mentioned embodiment is implemented; or when the computer program is executed by a processor, the quantification method of the retail electricity price package for industrial and commercial users in the above-mentioned embodiment is implemented.

[0159] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by hardware related to computer program instructions, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0160] The present invention is not limited to the above-mentioned optimal implementation mode. Anyone should be aware that any structural changes made under the inspiration of the present invention, and any technical solutions that are the same or similar to the present invention, fall within the protection scope of the present invention.

Claims

1. A method for quantifying retail electricity price packages for industrial and commercial users, characterized in that: The following steps are involved: Obtain relevant data required for calculation; Including the user's load at each time point and the total electricity charges of industrial and commercial users; Determine retail electricity price packages for industrial and commercial users based on their electricity consumption characteristics and classify them by load rate; According to various load rates, concurrency rates and total electricity charges for industrial and commercial users, a load rate electricity price theoretical model is established to determine the initial value of electricity price corresponding to each load rate; Adjust the initial value of each load rate electricity price according to the actual electricity demand forecast of industrial and commercial users, and determine the final value of the retail electricity price package for industrial and commercial users of various load rates, which specifically includes the following steps: S41, selecting a two-part electricity price corresponding to one type of industrial and commercial users with a load rate for adjustment; S42, calculating the two-part electricity price level for other types of load rate industrial and commercial users, including the following steps: S421, respectively determining the price ratio of the basic electricity price in the two-part electricity price corresponding to the industrial and commercial users of other types of load rates and the basic electricity price in the two-part electricity price corresponding to the industrial and commercial users of the load rate in step S41; S422. At the intersection of various load rates, the electricity fee expenditure of industrial and commercial users is consistent, and the electricity price level of industrial and commercial users of other load rates is calculated respectively; S43. Based on the principle that the total electricity charges of users remain unchanged, the final value of the two-part electricity price for industrial and commercial users of various load rates shall be determined.

2. The method for quantifying retail electricity price packages for industrial and commercial users according to claim 1, characterized in that: The load rate classification is achieved by an automatic clustering method of second-order clustering.

3. The method for quantifying retail electricity price packages for industrial and commercial users as claimed in claim 2, characterized in that: The automatic clustering method using second-order clustering to achieve the load rate classification includes the following steps: First, any load rate is placed at the root node of the tree to record the variable information of the load rate; then, based on the set distance measure, each other load rate is placed in the most similar node according to its similarity with the load rate at the root node. If a load rate does not find a node that is sufficiently similar to other load rates, a new node is formed; Then, the nodes of the cluster feature tree are grouped using an agglomerative clustering method to determine the optimal number of clusters.

4. A quantification system for retail electricity price packages for industrial and commercial users, characterized in that: include Data input module: used to input relevant data required for calculation; Including the user's load at each time point and the total electricity charges of industrial and commercial users; Load rate classification module: used to determine the retail electricity price packages for industrial and commercial users based on the input data and the user's electricity consumption characteristics, and classify them according to the load rate; Load rate electricity price initial value calculation module: used to establish a load rate electricity price theoretical model based on various load rates, simultaneous rates and total electricity charges for industrial and commercial users, and determine the initial electricity price corresponding to each load rate; Retail electricity price package confirmation module: used to adjust the initial value of each load rate electricity price based on the actual electricity demand forecast of industrial and commercial users, and determine the final value of the retail electricity price package for industrial and commercial users corresponding to various load rates. The retail electricity price package confirmation module configuration performs the following steps: S41, selecting a two-part electricity price corresponding to one type of industrial and commercial users with a load rate for adjustment; S42, calculating the two-part electricity price level for other types of load rate industrial and commercial users, including the following steps: S421, respectively determining the price ratio of the basic electricity price in the two-part electricity price corresponding to the industrial and commercial users of other types of load rates and the basic electricity price in the two-part electricity price corresponding to the industrial and commercial users of the load rate in step S41; S422. At the intersection of various load rates, the electricity fee expenditure of industrial and commercial users is consistent, and the electricity price level of industrial and commercial users of other load rates is calculated respectively; Based on the principle that the total electricity bill of users remains unchanged, the final value of the two-part electricity price for industrial and commercial users with various load rates is determined.

5. The quantification system for retail electricity price packages for industrial and commercial users as claimed in claim 4, characterized in that: The load rate classification module implements the load rate classification through an automatic clustering method of second-order clustering.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for quantifying the retail electricity price package for industrial and commercial users as described in any one of claims 1 to 3 is implemented.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for quantifying the retail electricity price package for industrial and commercial users as described in any one of claims 1 to 3 is implemented.

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