A Method for Hourly Decomposition of Inter-provincial Green Power Contracts

Abstract

The present invention discloses a method for decomposing the provincial - level green power contract by time period, belonging to the technical field of automatic control of power systems, which includes collecting relevant data; using the K - means algorithm for clustering to obtain the typical power consumption curves of various types of users; decomposing the provincial - level green power contract electricity quantity into each time period based on the electricity quantity proportion of each time period in the typical power consumption curves of various types of users; calculating the decomposition range of the provincial - level green power contract electricity quantity in peak and off - peak time periods according to the fluctuation limit of the overall electricity purchase cost of users; and adjusting the provincial - level green power contract electricity quantity decomposed in peak and off - peak time periods according to the calculated decomposition range of the provincial - level green power contract electricity quantity. It is beneficial to reduce the fluctuation of the overall electricity purchase cost on the user side, improve the green power consumption level, and promote the low - carbon transformation; enhance the activity of the provincial - level green power market, realize the large - scale resource optimization allocation of new energy consumption, facilitate the connection between the provincial - level and provincial - internal power markets, and effectively avoid the fluctuation risks of the two - level markets.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic control of power systems, and particularly to a method for decomposing provincial green power contracts by time periods. Background Art

[0002] With the gradual implementation of the "dual carbon" strategy and the continuous advancement of the construction of the green power trading system and the national unified power market system, the scale and proportion of provincial green power trading continue to increase. The continuous development of provincial green power trading not only makes the power purchase strategies of power users more diverse and complex, but also the provincial green power price cannot be connected with the in-province power time-of-use price in the provinces where time-of-use trading has been carried out, which has a greater impact on the overall power purchase cost on the user side. In this case, only by forming a scientific and reasonable method for decomposing provincial green power contracts by time periods can it be ensured that the overall power purchase cost on the user side does not fluctuate greatly, further improve the green power consumption level, and promote low-carbon transformation; at the same time, enhance the activity of the provincial green power market, realize the optimal allocation of large-scale resources for new energy consumption, facilitate the connection between the provincial and in-province power markets, and effectively avoid the risk of fluctuations in the two-level markets.

[0003] Currently, there is little research on the method for decomposing provincial green power contracts by time periods. The existing methods mainly evenly divide the electricity volume of provincial green power contracts according to natural hours, and using the traditional method for decomposing provincial green power contracts causes large fluctuations in the overall power purchase cost on the user side. Summary of the Invention

[0004] The technical problem solved by the present invention is that the development of provincial green power trading has an impact on the overall power purchase cost on the user side, and using the traditional method for decomposing provincial green power contracts causes large fluctuations in the overall power purchase cost on the user side.

[0005] To solve the above technical problem, the present invention provides the following technical solution: A method for decomposing provincial green power contracts by time periods, including collecting relevant data; using the K-means algorithm for clustering to obtain typical power consumption curves of various types of users; decomposing the electricity volume of provincial green power contracts into each time period based on the electricity volume proportion of each time period in the typical power consumption curves of various types of users; calculating the decomposition range of the electricity volume of provincial green power contracts in peak and valley time periods according to the fluctuation limit of the overall power purchase cost of users; adjusting the electricity volume of provincial green power contracts decomposed in peak and valley time periods according to the calculated decomposition range of the electricity volume of provincial green power contracts; and based on the adjusted decomposed electricity volume of provincial green power contracts in peak and valley time periods, and calculating the decomposed electricity volume of provincial green power contracts in flat time periods, obtaining the decomposition result of the electricity volume of provincial green power contracts by time periods.

[0006] As a preferred scheme of the method for decomposing provincial green power contracts by time periods of the present invention, wherein: Collecting relevant data includes:

[0007] The relevant data includes user electricity consumption data, inter-provincial green power contract data, and intra-provincial time-of-use electricity price data;

[0008] Collect historical data of user electricity consumption data, inter-provincial green power contract data, and intra-provincial time-of-use electricity price data, and generate a historical database.

[0009] As a preferred solution of the method for decomposing inter-provincial green power contracts by time period in the present invention, wherein: the K-means algorithm is used for clustering to obtain typical curves of user electricity consumption for each category, including:

[0010] Set the number of clustering categories to n;

[0011] Select the initial center of each category, which is generally randomly selected initially;

[0012] In each iteration, for any sample, calculate its Euclidean distance to each center respectively, and assign the sample to the category where the center with the shortest distance is located;

[0013] Update the value of the center of each category using the mean method;

[0014] For all clustering centers, repeat calculating the Euclidean distance from the sample to each center, assign the sample to the category where the center with the shortest distance is located, and update the value of the center of each category using the mean method until the moving distance of the center value of each category meets certain conditions, then the iteration ends and the clustering is completed.

[0015] As a preferred solution of the method for decomposing inter-provincial green power contracts by time period in the present invention, wherein: based on the electricity quantity proportion of each time period in the typical curves of user electricity consumption for each category, decompose the inter-provincial green power contract electricity quantity into each time period, and its mathematical expression is:

[0016]

[0017]

[0018] Among them, k represents the category of electricity users, k = 1, 2... n, represents the inter-provincial green power contract electricity quantity decomposed into the peak period for k-type users, represents the inter-provincial green power contract electricity quantity decomposed into the valley period for k-type users, represents the inter-provincial green power contract electricity quantity decomposed into the flat period for k-type users, Q ph,k represents the electricity demand of k-type users in the peak period, Q lp,k represents the electricity consumption of k-type users in the valley period, Q rp,k The electricity consumption of k-type users in the flat period, Q IG represents the inter-provincial green power contract electricity quantity, Q represents the total electricity demand of users, Q IG,k represents the total decomposition quantity of the green power contract electricity quantity for k-type users.

[0019] As a preferred solution of the method for decomposing the inter-provincial green power contract by time period according to the present invention, wherein: calculating the decomposition range of the inter-provincial green power contract electricity quantity in the peak period and the valley period according to the fluctuation limit of the overall electricity purchase cost of the user includes:

[0020] Calculating the market-oriented electricity purchase contract cost of various power users in the peak period without inter-provincial green power and the market-oriented electricity purchase contract cost of users with inter-provincial green power, and its mathematical expression is;

[0021]

[0022] Wherein, represents the market-oriented electricity purchase contract cost of the kth type of user without inter-provincial green power in the peak period,

[0023] represents the market-oriented electricity purchase contract cost of the kth type of user with inter-provincial green power in the peak period, P ph respectively represent the electricity price within the province in the peak period, P IG represents the inter-provincial green power price in the peak period, represents the decomposed electricity quantity of the inter-provincial green power contract of the kth type of user in the peak period.

[0024] As a preferred solution of the method for decomposing the inter-provincial green power contract by time period according to the present invention, wherein: adjusting the decomposed inter-provincial green power contract electricity quantity in the peak period and the valley period according to the calculated decomposition range of the inter-provincial green power contract electricity quantity includes:

[0025] The fluctuation range of the overall electricity purchase cost of various power users in the peak period due to the purchase of inter-provincial green power is [-α1, -α2], and the mathematical expression of the fluctuation range is:

[0026]

[0027] The mathematical expressions for the upper and lower limits of the decomposed inter-provincial green power contract electricity quantity of various power users in the peak period are:

[0028]

[0029] Wherein, represents the upper limit of the decomposed inter-provincial green power contract electricity quantity of various power users in the peak period, represents the lower limit of the decomposed inter-provincial green power contract electricity quantity of various power users in the peak period.

[0030] As a preferred solution of the method for decomposing the inter-provincial green power contract by time period according to the present invention, wherein: calculating the market-oriented electricity purchase contract cost of various power users in the valley period without inter-provincial green power and the market-oriented electricity purchase contract cost of users with inter-provincial green power, and its mathematical expression is:

[0031]

[0032] Among them, represents the market-based power purchase contract cost of type-k users during the low valley period excluding inter-provincial green power. represents the market-based power purchase contract cost of type-k users during the low valley period including inter-provincial green power, P lp represents the price of intra-provincial electricity during the low valley period, P IG represents the price of inter-provincial green power during the low valley period, Q lp,k represents the total electricity demand of type-k users during the low valley period. represents the decomposed electricity volume of the inter-provincial green power contract for type-k users during the low valley period.

[0033] As a preferred embodiment of the method for decomposing the inter-provincial green power contract by time period of the present invention, wherein: the fluctuation range of the overall power purchase cost caused by type-k users purchasing inter-provincial green power during the low valley period is [β1, β2], and its mathematical expression is:

[0034]

[0035] The mathematical expressions for the upper and lower limits of the decomposition of the inter-provincial green power contract electricity volume during the low valley period are:

[0036]

[0037] Among them, represents the upper limit of the decomposition of the inter-provincial green power contract electricity volume during the low valley period. represents the lower limit of the decomposition of the inter-provincial green power contract electricity volume during the low valley period.

[0038] As a preferred embodiment of the method for decomposing the inter-provincial green power contract by time period of the present invention, wherein: adjusting the decomposed inter-provincial green power contract electricity volume for the peak and low valley periods according to the calculated upper and lower limits of the decomposition of the inter-provincial green power contract electricity volume for the peak and low valley periods includes:

[0039] For the peak period:

[0040] If Then

[0041] If Then

[0042] If Then

[0043] For the low valley period:

[0044] If Then

[0045] If then

[0046] If then

[0047] As a preferred embodiment of the method for decomposing the inter-provincial green power contract by time period according to the present invention, the following steps are included: decomposing the electricity quantity of the inter-provincial green power contract based on the adjusted peak and valley periods, and calculating the decomposed electricity quantity of the inter-provincial green power contract during the flat period, so as to obtain the time-period decomposition result of the inter-provincial green power contract electricity quantity, and its mathematical expression is:

[0048]

[0049] Beneficial effects of the present invention: It is beneficial to reduce the fluctuation of the overall electricity purchase cost on the user side, improve the green power consumption level, and promote low-carbon transformation; enhance the activity of the inter-provincial green power market, realize the large-scale resource optimization allocation of new energy consumption, facilitate the connection between the inter-provincial and intra-provincial power markets, and effectively avoid the fluctuation risks of the two-level markets. Description of the Drawings

[0050] Figure 1 The flowchart of a method for decomposing the inter-provincial green power contract by time period provided by an embodiment of the present invention.

[0051] Figure 2 The block diagram of a method for decomposing the inter-provincial green power contract by time period provided by an embodiment of the present invention.

[0052] Figure 3 The typical electricity consumption curve diagram of a certain type of user for a method for decomposing the inter-provincial green power contract by time period provided by an embodiment of the present invention.

[0053] Figure 4 The typical electricity consumption curve diagram of another type of user for a method for decomposing the inter-provincial green power contract by time period provided by an embodiment of the present invention.

[0054] Figure 5 The typical electricity consumption curve diagram of a third type of user for a method for decomposing the inter-provincial green power contract by time period provided by an embodiment of the present invention. Detailed Embodiments

[0055] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made in conjunction with the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them.

[0056] Embodiment 1

[0057] Refer to Figure 1 and Figure 2, which is an embodiment of the present invention, provides a method for decomposing the provincial green power contract by time period, including:

[0058] Step 1: Collect relevant data, including:

[0059] The relevant data includes user electricity consumption data, provincial green power contract data, and provincial time-of-use electricity price data;

[0060] Collect historical data of user electricity consumption data, provincial green power contract data, and provincial time-of-use electricity price data, and generate a historical database.

[0061] Step 2: Use the K-means algorithm for clustering to obtain typical curves of electricity consumption for various types of users, including:

[0062] The basic steps of the K-means clustering method include:

[0063] Set the number of clustering categories to n;

[0064] Select the initial center for each category, usually randomly selected initially;

[0065] In each iteration, for any sample, calculate its Euclidean distance to each center respectively, and assign the sample to the category where the center with the shortest distance is located;

[0066] Update the value of the center of each category using the mean method;

[0067] For all clustering centers, repeat calculating the Euclidean distance from the sample to each center, assign the sample to the category where the center with the shortest distance is located, and update the value of the center of each category using the mean method until the moving distance of the center value of each category meets certain conditions, then the iteration ends and the clustering is completed.

[0068] Step 3: Based on the proportion of electricity consumption in each time period of the typical curves of electricity consumption for various types of users, decompose the provincial green power contract electricity to each time period, and its mathematical expression is:

[0069]

[0070] Among them, k represents the category of electricity users, k = 1, 2... n, represents the provincial green power contract electricity decomposed to the peak period for k-type users, represents the provincial green power contract electricity decomposed to the valley period for k-type users, represents the provincial green power contract electricity decomposed to the flat period for k-type users, Q ph,k represents the electricity demand of k-type users in the peak period, Q lp,k represents the electricity consumption of k-type users in the valley period, Q rp,k The electricity consumption of k-type users in the flat period, Q IGIt represents the inter-provincial green power contract electricity quantity, Q represents the total electricity demand of users, Q IG,k It represents the decomposed quantity of the total green power contract electricity quantity of k types of users. When decomposing the inter-provincial green power contract electricity quantity into each time period, only the load curve on the user side is considered.

[0071] Step 4: According to the fluctuation limit of the overall electricity purchase cost of users, calculate the decomposition range of the inter-provincial green power contract electricity quantity in the peak period and the trough period, including:

[0072] Calculate the market-oriented electricity purchase contract cost of users without inter-provincial green power and the market-oriented electricity purchase contract cost of users with inter-provincial green power in the peak period for various types of electricity users. Its mathematical expression is;

[0073]

[0074] Among them, It represents the market-oriented electricity purchase contract cost of k types of users without inter-provincial green power in the peak period, It represents the market-oriented electricity purchase contract cost of k types of users with inter-provincial green power in the peak period, P ph respectively represent the electricity price within the province in the peak period, P IG It represents the inter-provincial green power price in the peak period, It represents the decomposed electricity quantity of the inter-provincial green power contract of k types of users in the peak period.

[0075] Step 5: According to the calculated decomposition range of the inter-provincial green power contract electricity quantity, adjust the decomposed inter-provincial green power contract electricity quantity in the peak and trough periods, including:

[0076] The fluctuation range of the overall electricity purchase cost of various types of electricity users in the peak period due to purchasing inter-provincial green power is [-α1, -α2]. The mathematical expression of the fluctuation range is:

[0077]

[0078] The mathematical expressions for the upper and lower limits of the decomposed inter-provincial green power contract electricity quantity of various types of electricity users in the peak period are:

[0079]

[0080] Among them, It represents the upper limit of the decomposed inter-provincial green power contract electricity quantity of various types of electricity users in the peak period, It represents the lower limit of the decomposed inter-provincial green power contract electricity quantity of various types of electricity users in the peak period.

[0081] Calculate the market-oriented electricity purchase contract cost of users without inter-provincial green power and the market-oriented electricity purchase contract cost of users with inter-provincial green power in the trough period for various types of electricity users. Its mathematical expression is:

[0082]

[0083] Among them, represents the market-based power purchase contract cost of type-k users during the low valley period excluding inter-provincial green power, represents the market-based power purchase contract cost of type-k users during the low valley period including inter-provincial green power, P lp represents the in-province electricity price during the low valley period, P IG represents the inter-provincial green power price during the low valley period, Q lp,k represents the total electricity demand of type-k users during the low valley period, represents the decomposed electricity quantity of the inter-provincial green power contract for type-k users during the low valley period.

[0084] The fluctuation range of the overall power purchase cost for various types of users during the low valley period due to the purchase of inter-provincial green power is [β1, β2], and its mathematical expression is:

[0085]

[0086] The mathematical expressions for the upper and lower limits of the decomposition of the inter-provincial green power contract electricity quantity during the low valley period are:

[0087]

[0088] Among them, represents the upper limit of the decomposition of the inter-provincial green power contract electricity quantity during the low valley period, represents the lower limit of the decomposition of the inter-provincial green power contract electricity quantity during the low valley period. -α1, -α2, β1, β2 are values defined based on existing prior knowledge.

[0089] Adjusting the decomposed inter-provincial green power contract electricity quantities for the peak and low valley periods according to the calculated upper and lower limits of the decomposition of the inter-provincial green power contract electricity quantity for the peak and low valley periods includes:

[0090] For the peak period:

[0091] If Then

[0092] If Then

[0093] If Then

[0094] For the low valley period:

[0095] If Then

[0096] If Then

[0097] If Then

[0098] According to the decomposition of the inter-provincial green power contract electricity quantity in peak and valley periods calculated, the result of decomposing the inter-provincial green power contract electricity quantity to each period is corrected according to the fluctuation constraint of the overall electricity purchase cost on the user side. These two decompositions are actually two steps of this decomposition method.

[0099] Step 6: Based on the decomposed electricity quantity of the inter-provincial green power contract decomposed in the adjusted peak and valley periods, calculate the decomposed electricity quantity of the inter-provincial green power contract in the flat period, and obtain the sub-period decomposition result of the inter-provincial green power contract electricity quantity. Its mathematical expression is:

[0100]

[0101] This method decomposes the inter-provincial green power contract by sub-period according to the different electricity consumption characteristics of power users. Compared with the existing method of evenly dividing the inter-provincial green power contract electricity quantity according to the natural hours, it is beneficial to reduce the fluctuation of the overall electricity purchase cost on the user side, improve the green power consumption level, and promote the low-carbon transformation; improve the activity of the inter-provincial green power market, realize the large-scale resource optimization allocation of new energy consumption, help the connection of the inter-provincial and intra-provincial power markets, and effectively avoid the two-level market fluctuation risk.

[0102] Embodiment 2

[0103] Refer to Figures 3 - 5 , which is another embodiment of the present invention. The difference between this embodiment and the first embodiment is that it provides an experimental verification of the sub-period decomposition method of the inter-provincial green power contract. To verify and illustrate the technical effects adopted in this method, this embodiment uses the traditional technical solution and the method of the present invention for comparative testing, and uses scientific argumentation means to compare the test results to verify the real effects of this method.

[0104] The sub-period decomposition of the inter-provincial green power contract using the traditional technical solution includes the following steps:

[0105] First, collect the peak-valley-flat period distribution, intra-provincial electricity price, and inter-provincial green power contract transaction data of a certain day of this power grid as shown in Table 1.

[0106] Table 1: Relevant data table collected by the traditional technical solution.

[0107]

[0108]

[0109] Based on Table 1, calculate the natural hours of each period of peak-valley-flat, and it is obtained that all three periods are 8h. The inter-provincial green power contract electricity quantity is evenly divided according to the natural hours, and the inter-provincial green power contract electricity quantity decomposed in the three periods of peak-valley-flat is all 237.83.

[0110] According to the traditional method for decomposing the contract electricity quantity of inter-provincial green power, the overall electricity purchase cost of users at each time period caused by the implementation of inter-provincial green power is 1,270.69 yuan, while the overall electricity purchase cost of users without including inter-provincial green power is 1,222.65 yuan. Therefore, the fluctuation range of the overall electricity purchase cost of users is 3.93%.

[0111] The method for decomposing the inter-provincial green power contract by time period using the method of the present invention includes the following steps:

[0112] First, collect the peak-valley-average time-of-use electricity consumption data of 60 typical users, and perform clustering through the K-means algorithm to obtain 3 typical user electricity consumption curves, as shown in Figure 3 、 Figure 4 and Figure 5 respectively:

[0113] Based on the typical curves obtained by clustering, obtain the electricity consumption demands of the first, second, and third types of typical users at each peak-valley-average time period, and collect the intra-provincial electricity prices and inter-provincial green power contract transaction prices at each time period of this power grid. The specific data is shown in Table 2.

[0114] Table 2: Relevant data table collected by this method.

[0115]

[0116] Decompose the inter-provincial green power contract electricity quantity into 3 peak-valley-average time periods according to the electricity quantity proportion of each time period of the typical user electricity consumption curve obtained by clustering. The decomposition results are shown in Table 3:

[0117] Table 3: Preliminary decomposition result table of the inter-provincial green power contract electricity quantity.

[0118]

[0119]

[0120] According to the fluctuation limit of the overall electricity purchase cost of users, calculate the upper and lower limits of the decomposition of the inter-provincial green power contract during peak and valley time periods, where [-α1, -α2] is usually taken as [-3%, -5%], and [β1, β2] is usually taken as [25%, 35%]. Calculate the decomposition range of the inter-provincial green power contract electricity quantity for various types of users during peak and valley time periods as shown in Table 4:

[0121] Table: 4 Decomposition range table of the inter-provincial green power contract electricity quantity for various types of users.

[0122]

[0123] Based on the calculated decomposition ranges of the inter-provincial green power contract electricity quantities for various types of users during peak and off-peak periods, the decomposition results of the inter-provincial green power contract electricity quantities for various types of users are adjusted. The adjusted decomposition results of the inter-provincial green power contract electricity quantities for various power users are shown in Table 5:

[0124] Table 5: Table of the adjusted decomposition results of the inter-provincial green power contract electricity quantities for various power users.

[0125]

[0126] According to the method of the present invention for decomposing the inter-provincial green power contract electricity quantity, the overall electricity purchase cost on the user side during each period caused by the implementation of inter-provincial green power is 1,233.42 yuan, while the overall electricity purchase cost on the user side without including inter-provincial green power is 1,222.65 yuan. Therefore, the fluctuation range of the overall electricity purchase cost on the user side is 0.88%.

[0127] It can be seen from the results that when using the traditional technical solution for decomposing the inter-provincial green power contract, the fluctuation range of the overall electricity purchase cost on the user side is 3.93%, while when using the method of the present invention for decomposing the inter-provincial green power contract, the fluctuation range of the overall electricity purchase cost on the user side is 0.88%, which is lower than the traditional technical solution. Therefore, it is proved that this method is effective.

[0128] It should be recognized that the embodiments of the present invention can be implemented or carried out by computer hardware, a combination of hardware and software, or computer instructions stored in a non-transitory computer-readable memory. The method can be implemented in a computer program using standard programming techniques - including a non-transitory computer-readable storage medium configured with a computer program, where the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the method and drawings described in the specific embodiments. Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with the computer system. However, if necessary, the program can be implemented in assembly or machine language. In any case, the language can be a compiled or interpreted language. In addition, for this purpose, the program can run on a dedicated integrated circuit programmed for this purpose.

[0129] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for decomposing the inter-provincial green power contract by time period, characterized in that, Including: Collect relevant data; Use the K-means algorithm for clustering to obtain the typical power consumption curves of various types of users; Based on the proportion of electricity consumption in each period of the typical power consumption curves of various types of users, decompose the inter-provincial green power contract electricity into each period; According to the fluctuation limit of the overall electricity purchase cost of users, calculate the decomposition range of the inter-provincial green power contract electricity in peak periods and valley periods; According to the calculated decomposition range of the inter-provincial green power contract electricity, adjust the inter-provincial green power contract electricity decomposed in peak and valley periods; Based on the adjusted inter-provincial green power contract decomposed electricity in peak and valley periods, and calculate the inter-provincial green power contract decomposed electricity in flat periods to obtain the time-period decomposition result of the inter-provincial green power contract electricity; Based on the proportion of electricity consumption in each period of the typical power consumption curves of various types of users, decompose the inter-provincial green power contract electricity into each period, and its mathematical expression is: Among them, k represents the category of electricity users, where k = 1, 2, …, n. represents the inter-provincial green power contract electricity quantity decomposed into the peak period for users of category k. represents the inter-provincial green power contract electricity quantity decomposed into the valley period for users of category k. represents the inter-provincial green power contract electricity quantity decomposed into the flat period for users of category k, Q ph,k represents the electricity demand of users of category k in the peak period, Q lp,k represents the electricity consumption of users of category k in the valley period, Q rp,k The electricity consumption of users of category k in the flat period, Q IG represents the inter-provincial green power contract electricity quantity, Q represents the total electricity demand of users, Q IG,k represents the total decomposed quantity of the green power contract electricity quantity for users of category k; According to the fluctuation limit of the overall electricity purchase cost of users, calculating the decomposition range of the inter-provincial green power contract electricity in peak periods and valley periods includes: Calculate the market-oriented electricity purchase contract cost of various power users in peak periods without inter-provincial green power and the market-oriented electricity purchase contract cost of users with inter-provincial green power, and its mathematical expression is; Among them, represents the market-based power purchase contract cost for type-k users during peak hours excluding inter-provincial green power, represents the market-based power purchase contract cost of users of type k during peak hours including inter-provincial green power, P ph respectively represent the intra-provincial electricity price during peak hours, P IG represents the inter-provincial green power price during peak hours represents the decomposed electricity quantity of the inter-provincial green power contract of users of type k during peak hours; According to the calculated decomposition range of the inter-provincial green power contract electricity, adjusting the inter-provincial green power contract electricity decomposed in peak and valley periods includes: The fluctuation range of the overall electricity purchase cost of various power users in peak periods due to purchasing inter-provincial green power is [-α1, -α2], and the mathematical expression of the fluctuation range is: The mathematical expressions for the upper and lower limits of the decomposition of the inter-provincial green power contract electricity of various power users in peak periods are: Among them, represents the upper limit of the decomposition of the inter-provincial green power contract electricity quantity for various types of electricity users during peak hours, represents the lower limit of the decomposition of the inter-provincial green power contract electricity quantity for various types of electricity users during peak hours; Calculate the market-oriented electricity purchase contract cost of various power users in valley periods without inter-provincial green power and the market-oriented electricity purchase contract cost of users with inter-provincial green power, and its mathematical expression is: Among them, represents the market-based electricity purchase contract cost of k-type users during the off-peak period without inter-provincial green electricity; represents the market-based electricity purchase contract cost of k-type users during the off-peak period including inter-provincial green electricity, P lp represents the price of intra-provincial electricity during the off-peak period, P IG represents the price of inter-provincial green electricity during the off-peak period, Q lp,k represents the total electricity demand of k-type users during the off-peak period, represents the decomposed electricity volume of the inter-provincial green electricity contract of k-type users during the off-peak period; The fluctuation range of the overall electricity purchase cost of various users in valley periods due to purchasing inter-provincial green power is [β1, β2], and its mathematical expression is: The mathematical expressions for the upper and lower limits of the decomposition of the inter-provincial green power contract electricity in valley periods are: Among them, represents the upper limit of the decomposition of the provincial green power contract electricity quantity during the low valley period, represents the lower limit of the decomposition of the provincial green power contract electricity quantity during the low valley period; Adjusting the inter-provincial green power contract electricity decomposed in peak and valley periods according to the calculated upper and lower limits of the decomposition of the inter-provincial green power contract electricity in peak and valley periods includes: For peak periods: If then If then If then For valley periods: If then If then If then Based on the adjusted inter-provincial green power contract decomposed electricity in peak and valley periods, and calculate the inter-provincial green power contract decomposed electricity in flat periods to obtain the time-period decomposition result of the inter-provincial green power contract electricity, and its mathematical expression is:

2. The time-period decomposition method of the inter-provincial green power contract according to claim 1, characterized in that: Collecting relevant data includes: The relevant data includes user electricity consumption data, inter-provincial green power contract data, and intra-provincial time-of-use electricity price data; Collect the historical data of user electricity consumption data, inter-provincial green power contract data, and intra-provincial time-of-use electricity price data, and generate a historical database.

3. The time-period decomposition method of the inter-provincial green power contract according to claim 2, characterized in that: Using the K-means algorithm for clustering to obtain the typical power consumption curves of various types of users includes: Set the number of clustering categories to n; Select the initial center of each category, usually randomly select the center initially; In each iteration, for any sample, calculate its Euclidean distance to each center respectively, and assign the sample to the class where the center with the shortest distance is located; Update the center value of each class using the mean method; For all clustering centers, repeatedly calculate the Euclidean distance from the sample to each center, assign the sample to the class where the center with the shortest distance is located, and update the center value of each class using the mean method until the moving distance of the center value of each class meets certain conditions, then the iteration ends and the clustering is completed.

Images