Power transaction settlement model flexible generation method

Abstract

The invention relates to the technical field of electric power transaction settlement, solves the technical problem that diversified electric power transaction settlement requirements generated by diversified market subjects cannot be met in the prior art, and particularly relates to a flexible generation method of an electric power transaction settlement model, which comprises the following steps: S1, obtaining a settlement correlation value Kj based on settlement basic data, data with small relevance with decision attributes in the settlement correlation value Kj are removed; and S2, constructing a settlement node of the settlement end and a connection node of the user side, connecting the settlement node with the connection node according to different user side demands, and calculating the demand electric quantity of the user side to estimate the electric charge Ccu. According to the invention, through a visual interface, a worker can easily operate and complete the definition and settlement of a settlement model; and the settlement is flexibly selected according to a user or an operator, so that the settlement mode is flexibly selected, and different requirements of a power generation side and a power utilization side are met at the same time.

Description

Technical Field

[0001] The present invention relates to the technical field of power transaction settlement, and in particular to a method for flexibly generating a power transaction settlement model. Background Art

[0002] At present, most provinces have millions of industrial and commercial users. A large number of market players of different sizes will flood into the power market to participate in transactions. A large amount of data of various types will be connected to the power trading and settlement system, which has brought huge performance pressure to the power trading and settlement system. In addition, power sales companies also need to formulate various forms and prices of power packages to meet the electricity needs of different retail users they represent. The existing power trading platform and settlement technology are overly dependent on existing and fixed settlement models, which can only meet the settlement needs of fixed-mode market players. The system does not respond promptly to business change requirements at different stages of power market development, and cannot meet various new settlement business requirements such as policy adjustments and diversified market players entering the market in a timely manner, resulting in the system being unable to support the development of power market trading and settlement business. Settlement still requires manual intervention, which is inefficient. Summary of the invention

[0003] In view of the shortcomings of the existing technology, the present invention provides a method for flexibly generating an electricity trading settlement model, which solves the technical problem that the existing technology cannot meet the diversified electricity trading settlement needs generated by diversified market entities, and achieves the purpose of quickly processing diversified electricity trading settlement needs by relying on a flexible settlement model.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for flexibly generating a power transaction settlement model, the method comprising the following steps:

[0005] S1. Obtain settlement-related value K based on settlement basic data j , and remove the settlement related value K j Data with little correlation with decision attributes;

[0006] S2. Build a settlement node on the settlement end and a connection node on the user side. Connect the settlement node and the connection node according to different user side requirements and calculate the user side's required electricity to estimate the electricity fee C. cu ;

[0007] S3. According to the reserved settlement related value K j Calculate the medium- and long-term contract electricity fee Z on the user side zc ;

[0008] S4. From the settlement related value K j Get the real-time settlement point electricity price P in the real-time market ss , according to the electricity price P at the settlement point ssCalculate the real-time deviation electricity fee F ss ;

[0009] S5. Obtain the user's monthly purchased electricity quantity B from the settlement basic data 1 And calculate the unit market electricity W day ;

[0010] S6. Based on the basic settlement data, the market electricity transaction limit A is obtained and the unit shared electricity D is calculated. The shared fee R is calculated based on the unit shared electricity D. ft ;

[0011] S7. Estimate the electricity cost C based on the power demand of the user side according to different user side demands cu 、Medium and long-term contract electricity charges C zc , Real-time deviation electricity fee F ss and the shared cost R ft Generate user-side electricity bill report.

[0012] Preferably, in step S1, the specific implementation steps are as follows:

[0013] S11. Obtaining power consumption P based on basic settlement data i Calculate the power consumption P i The average The calculation formula is as follows:

[0014]

[0015] in, Indicates power consumption P i The average value, n represents the power consumption P i the number of

[0016] S12. According to the settlement related value K j Calculate the settlement related value K j The average The calculation formula is as follows:

[0017]

[0018] in, Indicates the settlement related value K j The average value of m represents the settlement related value K j the number of

[0019] S13. Obtaining power consumption P based on settlement basic data i , by settling the relevant value K j and power consumption P i Calculate the correlation coefficient r, the calculation formula is as follows:

[0020]

[0021] Among them, r represents the correlation coefficient, and P i represents the electricity consumption of the i-th household, represents the average value of electricity consumption, and K j represents the j-th settlement-related value, represents the average value of settlement-related values, and n and m represent the number of data;

[0022] S14. Determine the magnitude of the correlation between the settlement-related value K j and the electricity consumption P i ;

[0023] If |r - 1| ≤ 0.5 or |r + 1| ≤ 0.5, then retain the settlement-related value K j ;

[0024] If -0.5 < r - 0 < 0.5, then eliminate the settlement-related value K j ;

[0025] S15. The retained settlement-related value K j includes the electricity demand K D , the transaction electricity price J D , the benchmark electricity demand the benchmark transaction electricity price the medium- and long-term net contract electricity quantity Q zch the medium- and long-term net contract comprehensive price P zch the electricity demand W xq the unified settlement point electricity price P rqty the real-time settlement point electricity price P ss and the actual electricity consumption W ss .

[0026] Preferably, in step S2, the specific implementation steps are as follows:

[0027] S21. Obtain the electricity demand K j and the transaction electricity price J D from the settlement-related value K D , define T as the number of time periods divided by the time-of-use electricity price, and calculate the first coefficient e aa and the second coefficient e ab , and the calculation formulas are as follows:

[0028]

[0029] Among them, e aa represents the first coefficient, e ab represents the second coefficient, K D，a represents the electricity demand in the a-th time period, J D，a represents the transaction electricity price in the a-th time period, and K D，brepresents the power demand in period b, J D，b represents the transaction price of electricity in period b, a∈T and b∈T;

[0030] S22, based on the benchmark power demand and benchmark transaction price Calculate the demand value L of user Ax D，t , the calculation formula is as follows:

[0031]

[0032] Among them, L D，t represents the demand value of user Ax in the tth period, e tt represents the first coefficient of the tth period, e tb The second coefficient representing time period t and time period b, J D，t represents the transaction price of electricity in the tth period, x∈1,2,3…x;

[0033] S23, get the threshold U by maximum likelihood estimation method 1 and U 2 , according to the required value L D，t Set up the settlement node in the settlement terminal;

[0034] If L D，t >U 1 , then user A1's demand value L D，t Set as the first settlement node L A1 and ends;

[0035] If U 1 ≥L D，t ≥U 2 , then user A2's demand value L D，t Set as the second settlement node L A2 and ends;

[0036] If L D，t 2 , then user A3's demand value L D，t Set as the third settlement node L A3 and ends;

[0037] S24, connecting the settlement nodes to the connection nodes on the user side respectively;

[0038] S25, according to the user Ax's demand value L D，t Calculate the power demand on the user side and estimate the electricity cost C cu , the calculation formula is as follows:

[0039]

[0040] Among them, C cu ​It represents the estimated electricity charge of the power demand on the user side, and s represents the sth time period in the number of time periods T divided by the time-of-use electricity price.

[0041] Preferably, in step S3, the specific implementation steps are as follows:

[0042] S31, from the settlement related value K j Get the medium- and long-term net contract power Q in the user side T period zch ;

[0043] S32, from the settlement related value K j Obtain the comprehensive price P of the medium- and long-term net contract in the user side T period zch ;

[0044] S33. Calculate the electricity charges for medium and long term contracts C zc , the calculation formula is as follows:

[0045]

[0046] Among them, C zc represents the medium- and long-term contract electricity fee, Q zch，r represents the medium- and long-term net contract electricity in the rth period, P zch，r Represents the comprehensive price of medium and long-term net contracts in the rth period.

[0047] Preferably, in step S4, the specific implementation steps are as follows:

[0048] S41, from the settlement related value K j Obtain the power demand W reported by the user side in the day-ahead market during the T period xq ;

[0049] S42, from the settlement related value K j Get the unified settlement point electricity price P of the day-ahead market T period rqry ;

[0050] S43. Calculate the day-ahead deviation electricity fee F on the user side rpc , the calculation formula is as follows:

[0051]

[0052] Among them, F rpc represents the day-ahead deviation electricity price of the user side in the T period, W xq，e represents the electricity demand in the market during the e-th period, Q zch，e represents the medium- and long-term net contract electricity in the e-th period, e∈T;

[0053] S44, from the settlement related value K j Get the real-time settlement point electricity price P on the user side ss and actual power consumption Wss ;

[0054] S45, based on the real-time settlement point electricity price P ss and actual power consumption W ss Calculate the real-time deviation electricity fee F ss , the calculation formula is as follows:

[0055]

[0056] Among them, F ss represents the real-time deviation electricity cost, W ss，f represents the actual power consumption in the fth period, W xq，f It represents the electricity demand in the day-ahead market during the f period.

[0057] Preferably, in step S5, the specific implementation steps are as follows:

[0058] S51. Obtain the user's electricity purchase package electricity value W from the settlement basic data buy , according to the electricity purchase package power value W buy Calculate the monthly purchasing electricity B 1 , the calculation formula is as follows:

[0059]

[0060] Among them, B 1 Indicates the monthly purchased electricity, W buy Indicates the electricity value of the user's electricity purchase package;

[0061] S52, based on the monthly purchased electricity B 1 Calculate the monthly market electricity W mon , the calculation formula is as follows:

[0062] W mon =W y -B 1

[0063] Among them, W mon Represents monthly market electricity, W y Indicates the monthly power consumption of the user;

[0064] S53, based on the monthly market electricity W mon Calculate the unit market electricity W in the T period of each day day .

[0065] Preferably, the unit market electricity W in the T period of each day day The calculation formula is as follows:

[0066]

[0067] Among them, Wday It represents the unit market electricity in the T period of each day, and k represents the number of days in each month.

[0068] Preferably, in step S6, the specific implementation steps are as follows:

[0069] S61. Set the settlement deviation ratio β according to the settlement basic data to determine whether the unit market electricity quantity is applicable;

[0070] If W day ≤A, then it is applicable and goes to step S62;

[0071] If W day >A, then it is not applicable and goes to step S63;

[0072] S62, according to the settlement deviation ratio β and the unit market electricity W day Calculate the unit shared electricity D, the calculation formula is as follows:

[0073] D=W day ×β

[0074] Among them, D represents the unit shared electricity, and β represents the settlement deviation ratio;

[0075] S63. Calculate the unit apportioned electricity D according to the settlement deviation ratio β and the market electricity transaction upper limit A. The calculation formula is as follows:

[0076]

[0077] Among them, A represents the upper limit of market electricity trading;

[0078] S64. Obtain the level value Z of the returned electricity from the settlement basic data 1 and Z 2 , according to the level value Z 1 and Z 2 Determine the shared electricity price P ft，m ;

[0079] If D ≥ Z 1 , then the shared electricity price is P ft，1 ;

[0080] If Z 1 >D>Z 2 , then the shared electricity price is P ft，2 ;

[0081] If D≤Z 2 , then the shared electricity price is P ft，3 ;

[0082] S65, according to the shared electricity price P ft，m Calculate the cost sharing R ft , the calculation formula is as follows:

[0083]

[0084] Among them, R ft represents the shared cost, M represents the shared electricity quantity D and the shared electricity price P ft，m The logarithm of P ft，m represents the mth shared electricity price.

[0085] Preferably, in step S7, the specific implementation steps are as follows:

[0086] S71, based on the medium- and long-term contract electricity charges C on the user side zc , Real-time deviation electricity fee F ss and the shared cost R ft Calculate the electricity fee for trading users z , the calculation formula is as follows:

[0087] JY z =C zc +F ss +R ft

[0088] Among them, JY z Indicates the electricity charges of trading users;

[0089] S72, based on the electricity fee of the transaction user JY z and electricity demand to estimate electricity cost C cu Generate user-side electricity bill report and send it to the client.

[0090] The technical solution also provides a system for the flexible generation method of the above-mentioned power transaction settlement model, which includes: a data acquisition module, which acquires the settlement related value K based on the settlement basic data j , and remove the settlement related value K j Data with little correlation with decision attributes;

[0091] The electricity fee estimation module for demanded electricity quantity builds the settlement node at the settlement end and the connection node at the user side. According to different user side requirements, the settlement node and the connection node are connected and the electricity fee C of the demanded electricity quantity on the user side is calculated. cu ;

[0092] The contract electricity fee module is based on the reserved settlement related value K j Calculate the medium- and long-term contract electricity charges C on the user side zc ;

[0093] Deviation electricity fee module, from the settlement related value K j Get the real-time settlement point electricity price P in the real-time market ss , according to the electricity price P at the settlement point ss Calculate the real-time deviation electricity fee Fss ;

[0094] The market electricity module obtains the user's monthly purchasing electricity B from the settlement basic data 1 And calculate the unit market electricity W day ;

[0095] The cost sharing module obtains the market electricity transaction limit A based on the basic settlement data and calculates the unit shared electricity D, and calculates the shared cost R based on the unit shared electricity D ft ;

[0096] The user side reporting module estimates the electricity cost C based on the user side demand according to the user side demand electricity cu 、Medium and long-term contract electricity charges C zc , Real-time deviation electricity fee F ss and the shared cost R ft Generate user-side electricity bill report.

[0097] By means of the above technical solution, the present invention provides a method for flexibly generating a power transaction settlement model, which has at least the following beneficial effects:

[0098] 1. The present invention can increase the accuracy of selecting the basic data for settlement by performing correlation analysis on the basic data for settlement and eliminating the data with weak correlation in the basic data for settlement, and use the data with strong correlation to substitute into the subsequent settlement and analysis steps to make the settlement results more accurate, avoid the occurrence of irrelevant data affecting the settlement results, and improve the accuracy of the settlement work.

[0099] 2. The present invention modularizes each part of power transaction settlement by constructing settlement nodes with different requirements and connects them using nodes. Different settlement nodes can be used for different user requirements, and the specific electricity consumption on the user side can be calculated based on different node data. Once the demand changes, the user can change it quickly and flexibly, which increases the flexibility of power transaction settlement. At the same time, flexible connection can avoid the calculation of redundant power data and improve the calculation processing speed.

[0100] 3. The present invention enables the staff to easily operate through a visual interface to complete the definition and settlement of the settlement model. During the settlement, the power situation is settled according to the flexible selection of the user or the operator. After analyzing the data, different electricity consumption and electricity fee reports are generated according to the needs of the user side. Not only can the settlement method be flexibly selected, but also the different needs of the user side can be met at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0101] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0102] Figure 1 A flow chart of a method for flexibly generating a power transaction settlement model according to the present invention;

[0103] Figure 2 This is a structural block diagram of the flexible generation system of the power transaction settlement model of the present invention. DETAILED DESCRIPTION

[0104] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments, so that the implementation process of how the present application uses technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly.

[0105] Since the existing technology cannot meet the technical problems of diversified power trading settlement requirements generated by diversified market entities, please refer to Figure 1 This embodiment provides a method for flexibly generating a power transaction settlement model, which can quickly process diversified power transaction settlement requirements by relying on a flexible settlement model. The method includes the following steps:

[0106] S1. Obtain settlement related value KJ based on settlement basic data and remove settlement related value K j The data with little correlation with the decision attribute in the data are selected; before performing step S1, the staff can use the visual interface to select a suitable electricity package. Different electricity packages correspond to different needs. For example, the peak voltage and power consumption time required by the user are different, and the corresponding peak voltage and time period are different in the package. Since different packages have different values, but the physical quantities are roughly the same, the application method is the same, which does not affect the overall algorithm. After selecting the package, the physical quantities in the package are determined and further analyzed. In step S1, the specific implementation steps are as follows:

[0107] S11. Obtaining power consumption P based on basic settlement data i Calculate the power consumption P i The average The calculation formula is as follows:

[0108]

[0109] in, Indicates power consumption P i The average value, n represents the power consumption P i It should be noted that the settlement basic data is the public data provided by the power generation side and can be directly obtained from the power generation side;

[0110] S12. According to the settlement related value K j Calculate the settlement related value K j The average The calculation formula is as follows:

[0111]

[0112] in, Indicates the settlement related value K j The average value of m represents the settlement related value K j The number of settlement related values ​​K j is a collection of power data, including the power demand K D , Transaction PriceJ D , Baseline electricity demand Benchmark transaction price Medium and long-term net contract electricity Q zc h. Medium and long-term net contract comprehensive price P zc h. Required power W xq , unified settlement point electricity price P rqty , real-time settlement point electricity price P ss and actual power consumption W ss , calculate the settlement related value K j The average value is to select a power data in the set and calculate the average value of the same type of data in the set. For example, select the power demand K D , then calculate the power demand K D The average value is the power demand K in each period. D The number of

[0113] S13. Obtaining power consumption P based on settlement basic data i , by settling the relevant value K j and power consumption P i Calculate the correlation coefficient r, the calculation formula is as follows:

[0114]

[0115] Among them, r represents the correlation coefficient, P i represents the i-th power consumption, Indicates the average power consumption, K j represents the jth settlement related value, represents the average value of settlement related values, n and m represent the number of data; it should be noted that the power consumption P i It is the data on the power generation side and can be directly obtained from the basic settlement data.

[0116] S14. Determine the settlement related value K j and power consumption P i The size of the correlation between

[0117] If |r - 1| ≤ 0.5 or |r + 1| ≤ 0.5, then retain the settlement-related value K j ;

[0118] If -0.5 < r - 0 < 0.5, then exclude the settlement-related value K j ;

[0119] S15. Retained settlement-related value K j Includes the electricity demand quantity K D , the transaction electricity price J D , the benchmark electricity demand quantity Benchmark transaction electricity price Medium- and long-term net contract electricity quantity Q zch , medium- and long-term net contract comprehensive price P zch , the demand electricity quantity W xq , the unified settlement point electricity price P rqty , the real-time settlement point electricity price P ss and the actual electricity consumption quantity W ss . By screening the settlement basic data, data with greater relevance to the electricity bill transaction settlement is obtained, which can increase the accuracy of the selection of settlement basic data. Using the data with strong relevance in the subsequent settlement and analysis steps makes the settlement result more accurate, avoids the influence of irrelevant data on the settlement result, and improves the accuracy of the settlement work.

[0120] S2. Construct the connection nodes between the settlement nodes at the settlement end and the user side, connect the settlement nodes with the connection nodes according to different user-side demands, and calculate the estimated electricity bill C for the user-side demand electricity quantity cu , due to the technical problem that the existing technology cannot meet the diverse electricity trading settlement demands generated by diverse market entities, in order to make user settlement more flexible and efficient, in step S2, the specific implementation steps are as follows:

[0121] S21. Obtain the electricity demand quantity K j and the transaction electricity price J D from the settlement-related value K D , define T as the number of time periods divided by the time-of-use electricity price, and calculate the first coefficient e aa and the second coefficient e ab , and the calculation formulas are as follows:

[0122]

[0123] Among them, e aa represents the first coefficient, e ab represents the second coefficient, K D，a represents the electricity demand quantity in period a, J D，a represents the transaction electricity price in period a, K D，b represents the electricity demand quantity in period b, JD，b represents the transaction price of electricity in period b, a∈T and b∈T;

[0124] S22, based on the benchmark power demand and benchmark transaction price Calculate the demand value L of user Ax D，t , the calculation formula is as follows:

[0125]

[0126] Among them, L D，t represents the demand value of user Ax in the tth period, e tt represents the first coefficient of the tth period, e tb The second coefficient representing time period t and time period b, J D，t represents the transaction price of electricity in the tth period, x∈1,2,3…x;

[0127] S23, get the threshold U by maximum likelihood estimation method 1 and U 2 , according to the required value L D，t Set up the settlement node in the settlement terminal;

[0128] If L D，t >U 1 , then user A1's demand value L D，t Set as the first settlement node L A1 and ends;

[0129] If U 1 ≥L D，t ≥U 2 , then user A2's demand value L D，t Set as the second settlement node L A2 and ends;

[0130] If L D，t 2 , then user A3's demand value L D，t Set as the third settlement node L A3 and ends;

[0131] S24, connecting the settlement nodes to the connection nodes on the user side respectively;

[0132] S25, according to the user Ax's demand value L D，t Calculate the power demand on the user side and estimate the electricity cost C cu , the calculation formula is as follows:

[0133]

[0134] Among them, C cu ​Indicates the estimated electricity fee of the required electricity quantity on the user side, and s represents the sth time period in the number of time periods T divided by the time-of-use electricity price. The present invention modularizes each part of the power transaction settlement by constructing settlement nodes with different requirements and connects them using nodes. Different user requirements can use different settlement nodes, and then the specific electricity consumption of the user side can be calculated according to different node data. Once the demand changes, the user can also change quickly and flexibly, which increases the flexibility of power transaction settlement. At the same time, flexible connection can also avoid the calculation of redundant power data and improve the calculation processing speed.

[0135] S3. According to the reserved settlement related value K j Calculate the medium- and long-term contract electricity charges C on the user side zc , the calculation efficiency of medium- and long-term contract electricity charges is low and the calculation is inaccurate. In step S3, the specific implementation steps are as follows:

[0136] S31, from the settlement related value K j Get the medium- and long-term net contract power Q in the user side T period zch ;

[0137] S32, from the settlement related value K j Obtain the comprehensive price P of the medium- and long-term net contract in the user side T period zch ;

[0138] S33. Calculate the electricity charges for medium and long term contracts C zc , the calculation formula is as follows:

[0139]

[0140] Among them, C zc represents the medium- and long-term contract electricity fee, Q zch，r represents the medium- and long-term net contract electricity in the rth period, P zch，r It represents the comprehensive price of medium- and long-term net contracts in the rth period. zch and the medium and long-term net contract comprehensive price P zch The medium- and long-term contract electricity fee C in the user side T period zc Make accurate calculations.

[0141] S4. From the settlement related value K j Get the real-time settlement point electricity price P in the real-time market ss , according to the electricity price P at the settlement point ss Calculate the real-time deviation electricity fee F ss The deviation electricity fee is also an important component of the user's electricity fee, which is easy to be ignored in the calculation. In step S4, the specific implementation steps are as follows:

[0142] S41, from the settlement related value K jObtain the power demand W reported by the user side in the day-ahead market during the T period xq ;

[0143] S42, from the settlement related value K j Get the unified settlement point electricity price P of the day-ahead market T period rqty ;

[0144] S43. Calculate the day-ahead deviation electricity fee F on the user side rpc , the calculation formula is as follows:

[0145]

[0146] Among them, F rpc represents the day-ahead deviation electricity price of the user side in the T period, W xq，e represents the electricity demand in the market during the e-th period, Q zch，e represents the medium- and long-term net contract electricity in the e-th period, e∈T;

[0147] S44, from the settlement related value K j Get the real-time settlement point electricity price P on the user side ss and actual power consumption W ss ;

[0148] S45, based on the real-time settlement point electricity price P ss and actual power consumption W ss Calculate the real-time deviation electricity fee F ss , the calculation formula is as follows:

[0149]

[0150] Among them, F ss represents the real-time deviation electricity cost, W ss，f represents the actual power consumption in the fth period, W xq，f represents the demand for electricity in the day-ahead market during the fth period. ss and actual power consumption W ss The deviation electricity charges are accurately calculated, and both deviation electricity charges are taken into account, which provides convenience and accuracy for the electricity charge calculation in the later steps.

[0151] S5. Obtain the user's monthly purchased electricity quantity B from the settlement basic data 1 And calculate the unit market electricity W day The present invention obtains the monthly purchased electricity through the user's monthly electricity consumption and the monthly purchased electricity. This method can more directly obtain the user's electricity consumption, and then obtain the overall electricity consumption. In step S5, the specific implementation steps are as follows:

[0152] S51. Obtain the user's electricity purchase package electricity value W from the settlement basic databuy , according to the electricity purchase package power value W buy Calculate the monthly purchasing electricity B 1 , the calculation formula is as follows:

[0153]

[0154] Among them, B 1 Indicates the monthly purchased electricity, W buy Indicates the electricity value of the user's electricity purchase package. The present invention defaults to an annual payment package for the user, which lasts for 12 months. Therefore, the monthly electricity purchase amount needs to be divided by 12 to calculate the electricity consumption for each month.

[0155] S52, based on the monthly purchased electricity B 1 Calculate the monthly market electricity W mon , the calculation formula is as follows:

[0156] W mon =W y -B 1

[0157] Among them, W mon Represents monthly market electricity, W y It indicates the monthly electricity consumption of users. In actual applications, the electricity consumption of users is a kind of data with large fluctuations. From historical experience, we know that the general electricity consumption will be greater than the purchased electricity. The monthly market electricity can not only know the electricity consumption other than the purchased electricity, but also judge the law of power generation and consumption according to the cycle of the monthly market electricity, so as to better serve the electricity user.

[0158] S53, based on the monthly market electricity W mon Calculate the unit market electricity W in the T period of each day day , the unit market electricity W in the T period of each day day The calculation formula is as follows:

[0159]

[0160] Among them, W day represents the unit market electricity in the T period of each day, and k represents the number of days in each month. day Accurate calculation facilitates calculation in step S6.

[0161] S6. Based on the basic settlement data, the market electricity transaction limit A is obtained and the unit shared electricity D is calculated. The shared fee R is calculated based on the unit shared electricity D. ft; The settlement deviation ratio provides an allowable error range for power market participants to meet the real-time balance requirements of the settlement end. The settlement deviation ratio is set to 0.2 in the present invention. The market electricity transaction upper limit can determine an electricity consumption upper limit for the power market. The market electricity transaction upper limit is set to 10000kwh in the present invention. The monthly deviation electricity is the deviation electricity calculated using the settlement deviation ratio. The error ratio and the cost sharing calculation in the prior art are relatively vague. In step S6, the specific implementation steps are as follows:

[0162] S61. Set the settlement deviation ratio β according to the settlement basic data to determine whether the unit market electricity quantity is applicable;

[0163] If W day ≤A, then it is applicable and goes to step S62;

[0164] If W day >A, then it is not applicable and goes to step S63;

[0165] S62, according to the settlement deviation ratio β and the unit market electricity W day Calculate the unit shared electricity D, the calculation formula is as follows:

[0166] D=W day ×β

[0167] Among them, D represents the unit shared electricity, and β represents the settlement deviation ratio;

[0168] S63. Calculate the unit apportioned electricity D according to the settlement deviation ratio β and the market electricity transaction upper limit A. The calculation formula is as follows:

[0169]

[0170] Among them, A represents the upper limit of market electricity trading;

[0171] S64. Obtain the level value Z of the returned electricity from the settlement basic data 1 and Z 2 , according to the level value Z 1 and Z 2 Determine the shared electricity price P ft，m ;

[0172] If D ≥ Z 1 , then the shared electricity price is P ft，1 ;

[0173] If Z 1 >D>Z 2 , then the shared electricity price is P ft，2 ;

[0174] If D≤Z 2 , then the shared electricity price is P ft，3 ;

[0175] S65, according to the shared electricity price P ft，m Calculate the cost sharing R ft , the calculation formula is as follows:

[0176]

[0177] Among them, R ft represents the shared cost, M represents the shared electricity quantity D and the shared electricity price P ft，m The logarithm of P ft，m It represents the mth shared electricity price. The levels are set according to the amount of electricity returned, and the shared expenses are calculated according to different levels to make the shared expenses clearer and more accurate.

[0178] S7. Estimate the electricity cost C based on the power demand of the user side according to different user side demands cu 、Medium and long-term contract electricity charges C zc , Real-time deviation electricity fee F ss and the shared cost R ft Generate a user-side electricity fee report. The prior art lacks detailed and comprehensive fee descriptions in practical applications. In step S7, the specific implementation steps are as follows:

[0179] S71. Estimate electricity charges C based on the power demand of the user side cu 、Medium and long-term contract electricity charges C zc , Real-time deviation electricity fee F ss and the shared cost R ft Calculate the electricity fee for trading users z , the calculation formula is as follows:

[0180] JY z =C zc +F ss +R ft

[0181] Among them, JY z Indicates the electricity charges of trading users;

[0182] S72, based on the electricity fee of the transaction user JY z and electricity demand to estimate electricity cost C cu Generate user-side electricity bill report and send it to the client, and estimate the electricity bill C based on the required power cu 、Medium and long-term contract electricity charges C zc , Real-time deviation electricity fee F ss and the shared cost R ft Calculate the electricity fee for trading users zThe user side can know the detailed situation of electricity consumption and better grasp the frequency of electricity consumption, so that the electricity cost of the user side can be controlled. The present invention enables the staff to easily operate through a visual interface, complete the definition and settlement of the settlement model, and settle the electricity situation according to the flexible selection of the user or operator during the settlement. At the same time, after analyzing the data, different electricity bill reports are generated according to the needs of the user side, which not only flexibly selects the settlement method, but also meets the different needs of the user side.

[0183] See also Figure 2 , which is a structural block diagram of the flexible generation system of the power transaction settlement model provided in this embodiment. The flexible generation system of the power transaction settlement model includes a data acquisition module, a demand electricity estimation fee module, a contract electricity fee module, a deviation electricity fee module, a market electricity module, a cost sharing module, and a user-side reporting module.

[0184] Data acquisition module, which acquires settlement related value K based on settlement basic data j , and remove the settlement related value K j The data with little correlation with the decision attribute in the demand electricity estimation module builds the settlement node of the settlement end and the connection node of the user side, connects the settlement node with the connection node according to different user side needs, and calculates the estimated electricity fee C of the demand electricity on the user side cu ; Contract electricity fee module, based on the reserved settlement related value K j Calculate the medium- and long-term contract electricity charges C on the user side zc ; Deviation electricity fee module, from the settlement related value K j Get the real-time settlement point electricity price P in the real-time market ss , according to the electricity price P at the settlement point ss Calculate the real-time deviation electricity fee F ss ; Market electricity module, obtains the user's monthly purchasing electricity B from the settlement basic data 1 And calculate the unit market electricity W day ; The cost sharing module obtains the market electricity transaction limit A based on the basic settlement data and calculates the unit shared electricity D, and calculates the shared cost R based on the unit shared electricity D ft ; User-side reporting module, based on different user-side demands, estimates the electricity cost C according to the user-side demand electricity cu 、Medium and long-term contract electricity charges C zc , Real-time deviation electricity fee F ss and the shared cost R ft Generate user-side electricity bill report.

[0185] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, so the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0186] Each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the above embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0187] The above implementation methods have been described in detail. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A flexible generation method for power transaction settlement model, characterized in that: The method comprises the following steps: S1. Obtain settlement-related value K based on settlement basic data j , and remove the settlement related value K j Data with little correlation with decision attributes; S2. Build a settlement node on the settlement end and a connection node on the user side. Connect the settlement node and the connection node according to different user side requirements and calculate the user side's required electricity to estimate the electricity fee C. cu ; S3. According to the reserved settlement related value K j Calculate the medium- and long-term contract electricity charges C on the user side zc ; S4. From the settlement related value K j Get the real-time settlement point electricity price P in the real-time market ss , according to the electricity price P at the settlement point ss Calculate the real-time deviation electricity fee F ss ; S5. Obtain the user's monthly purchasing electricity B1 from the settlement basic data and calculate the unit market electricity W day ; S6. Based on the basic settlement data, the market electricity transaction limit A is obtained and the unit shared electricity D is calculated. The shared fee R is calculated based on the unit shared electricity D. ft ; S7. Estimate the electricity cost C based on the power demand of the user side according to different user side demands cu 、Medium and long-term contract electricity charges C zc , Real-time deviation electricity fee F ss and the shared cost R ft Generate user-side electricity bill report.

2. The model generation method according to claim 1, characterized in that: In step S1, the specific implementation steps are as follows: S11. Obtaining power consumption P based on basic settlement data i Calculate the power consumption P i The average The calculation formula is as follows: in, Indicates power consumption P i The average value, n represents the power consumption P i the number of S12. According to the settlement related value K j Calculate the settlement related value K j The average The calculation formula is as follows: in, Indicates the settlement related value K j The average value of m represents the settlement related value K j the number of S13. Obtaining power consumption P based on settlement basic data i , by settling the relevant value K j and power consumption P i Calculate the correlation coefficient r, the calculation formula is as follows: Among them, r represents the correlation coefficient, P i represents the i-th power consumption, Indicates the average power consumption, K j represents the jth settlement related value, It represents the average value of settlement related values, and n and m represent the number of data; S14. Determine the settlement related value K j and power consumption P i The size of the correlation between If |r-1|≤0.5 or |r+1|≤0.5, the settlement related value K is retained j ; If -0.5 < r - 0 < 0.5, then eliminate the settlement-related value K j ; S15. Retained settlement related value K j Including power demand K D , Transaction PriceJ D , Baseline electricity demand Benchmark electricity price Medium and long-term net contract electricity Q zch , medium and long term net contract comprehensive price P zch , power demand W xq , unified settlement point electricity price P rqty , real-time settlement point electricity price P ss and actual power consumption W ss .

3. The model generation method according to claim 1, characterized in that: In step S2, the specific implementation steps are as follows: S21, from the settlement related value K j Get the power demand K D and transaction price J D , define T as the number of time periods divided by the time-of-use electricity price, and calculate the first coefficient e aa and the second coefficient e ab , the calculation formula is as follows: Among them, e aa represents the first coefficient, e ab represents the second coefficient, K D，a represents the power demand during period a, J D，a represents the transaction price of electricity in period a, K D，b represents the power demand in period b, J D，b represents the transaction price of electricity in period b, a∈T and b∈T; S22, based on the benchmark power demand and benchmark transaction price Calculate the demand value L of user Ax D，t , the calculation formula is as follows: Among them, L D，t represents the demand value of user Ax in the tth period, e tt represents the first coefficient of the tth period, e tb The second coefficient representing time period t and time period b, J D，t represents the transaction price of electricity in the tth period, x∈1,2,3...x; S23, using the maximum likelihood estimation method to obtain the thresholds U1 and U2, according to the demand value L D，t Set up the settlement node in the settlement terminal; If L D，t >U1, then user A1’s demand value L D，t Set as the first settlement node L A1 and ends; If U1 ≥ L D，t ≥U2, then user A2's demand value L D，t Set as the second settlement node L A2 and ends; If L D，t <U2, then user A3's demand value L D，t Set as the third settlement node L A3 and ends; S24, connecting the settlement nodes to the connection nodes on the user side respectively; S25, according to the user Ax's demand value L D，t Calculate the power demand on the user side and estimate the electricity cost C cu , the calculation formula is as follows: Among them, C cu It represents the estimated electricity charge of the power demand on the user side, and s represents the sth time period in the number of time periods T divided by the time-of-use electricity price.

4. The model generation method according to claim 1, characterized in that: In step S3, the specific implementation steps are as follows: S31, from the settlement related value K j Get the medium- and long-term net contract power Q in the user side T period zch ; S32, from the settlement related value K j Obtain the comprehensive price P of the medium- and long-term net contract in the user side T period zch ; S33. Calculate the electricity charges for medium and long term contracts C zc , the calculation formula is as follows: Among them, C zc represents the medium- and long-term contract electricity fee, Q zch，r represents the medium- and long-term net contract electricity in the rth period, P zch，r Represents the comprehensive price of medium and long-term net contracts in the rth period.

5. The model generation method according to claim 1, characterized in that: In step S4, the specific implementation steps are as follows: S41, from the settlement related value K j Obtain the power demand W reported by the user side in the day-ahead market during the T period xq ; S42, from the settlement related value K j Get the unified settlement point electricity price P of the day-ahead market T period rqty ; S43. Calculate the day-ahead deviation electricity fee F on the user side rpc , the calculation formula is as follows: Among them, F rpc represents the day-ahead deviation electricity price of the user side in the T period, W xq，e represents the electricity demand in the market during the e-th period, Q zch，e represents the medium- and long-term net contract electricity in the e-th period, e∈T; S44, from the settlement related value K j Get the real-time settlement point electricity price P on the user side ss and actual power consumption W ss ; S45, based on the real-time settlement point electricity price P ss and actual power consumption W ss Calculate the real-time deviation electricity fee F ss , the calculation formula is as follows: Among them, F ss represents the real-time deviation electricity cost, W ss，f represents the actual power consumption in the fth period, W xq，f It represents the electricity demand in the day-ahead market during the f period.

6. The model generation method according to claim 1, characterized in that: In step S5, the specific implementation steps are as follows: S51. Obtain the user's electricity purchase package electricity value W from the settlement basic data buy , according to the electricity purchase package power value W buy Calculate the monthly purchasing power B1, the calculation formula is as follows: Among them, B1 represents the monthly purchased electricity, W buy Indicates the electricity value of the user's electricity purchase package; S52. Calculate the monthly market electricity W based on the monthly purchased electricity B1 mon , the calculation formula is as follows: IN mon =In y -B1 Among them, W mon Represents monthly market electricity, W y Indicates the monthly power consumption of the user; S53, based on the monthly market electricity W mon Calculate the unit market electricity W in the T period of each day day .

7. The model generation method according to claim 6, characterized in that: The unit market electricity W in the T period of each day day The calculation formula is as follows: Among them, W day It represents the unit market electricity in the T period of each day, and k represents the number of days in each month.

8. The model generation method according to claim 1, characterized in that: In step S6, the specific implementation steps are as follows: S61. Set the settlement deviation ratio β according to the settlement basic data to determine whether the unit market electricity quantity is applicable; If W day ≤A, then it is applicable and goes to step S62; If W day >A, then it is not applicable and goes to step S63; S62, according to the settlement deviation ratio β and the unit market electricity W day Calculate the unit shared electricity D, the calculation formula is as follows: D=W day ×β Among them, D represents the unit shared electricity, and β represents the settlement deviation ratio; S63. Calculate the unit apportioned electricity D according to the settlement deviation ratio β and the market electricity transaction upper limit A. The calculation formula is as follows: Among them, A represents the upper limit of market electricity trading; S64, obtain the level values ​​Z1 and Z2 of the returned electricity from the settlement basic data, and determine the apportioned electricity price P according to the level values ​​Z1 and Z2 ft，m ; If D ≥ Z1, the shared electricity price is P ft，1 ; If Z1>D>Z2, the shared electricity price is P ft，2 ; If D≤Z2, the shared electricity price is P ft，3 ; S65, according to the shared electricity price P ft，m Calculate the cost sharing R ft , the calculation formula is as follows: Among them, R ft represents the shared cost, M represents the shared electricity quantity D and the shared electricity price P ft，m The logarithm of P ft，m represents the mth shared electricity price.

9. The model generation method according to claim 1, characterized in that: In step S7, the specific implementation steps are as follows: S71, based on the medium- and long-term contract electricity charges C on the user side zc , Real-time deviation electricity fee F ss and the shared cost R ft Calculate the electricity fee for trading users z , the calculation formula is as follows: YOU z =C zc +F ss +R ft Among them, JY z Indicates the electricity charges of trading users; S72, based on the electricity fee of the transaction user JY z and electricity demand to estimate electricity cost C cu Generate user-side electricity bill report and send it to the client.

10. A system for implementing the method for flexibly generating a power transaction settlement model as described in any one of claims 1 to 9, characterized in that: The system includes: Data acquisition module, which acquires settlement related value K based on settlement basic data j , and remove the settlement related value K j Data with little correlation with decision attributes; The electricity fee estimation module for demanded electricity quantity builds the settlement node at the settlement end and the connection node at the user side. According to different user side requirements, the settlement node and the connection node are connected and the electricity fee C of the demanded electricity quantity on the user side is calculated. cu ; The contract electricity fee module is based on the reserved settlement related value K j Calculate the medium- and long-term contract electricity charges C on the user side zc ; Deviation electricity fee module, from the settlement related value K j Get the real-time settlement point electricity price P in the real-time market ss , according to the electricity price P at the settlement point ss Calculate the real-time deviation electricity fee F ss ; The market electricity module obtains the user's monthly purchasing electricity B1 from the settlement basic data and calculates the unit market electricity W day ; The cost sharing module obtains the market electricity transaction limit A based on the basic settlement data and calculates the unit shared electricity D, and calculates the shared cost R based on the unit shared electricity D ft ; The user side reporting module estimates the electricity cost C based on the user side demand according to the user side demand electricity cu 、Medium and long-term contract electricity charges C zc , Real-time deviation electricity fee F ss and the shared cost R ft Generate user-side electricity bill report.

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