CN115829609A - Optimization calculation method and system for large-subject mixed real-time rate electricity fee package - Google Patents
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Abstract
The utility model belongs to the technical field of electric power marketing, in particular to a method and a system for optimizing and calculating a large-subject mixed real-time rate electric charge package, which comprises the following steps: acquiring the daily clear total electric quantity of the mixed package; and optimizing the time-sharing electric quantity of the mixed package according to the acquired daily total electric quantity of the mixed package and a preset mixed package optimization model by using the minimization of the electric charge of the user as an objective function, and finishing the optimization calculation of the large-main mixed real-time rate electric charge package. The method and the system perform adaptive reconstruction on the existing marketing business system and the electricity selling system by optimizing the mixed implementation rate and electricity fee package mechanism, and meet the large-scale, continuous, flexible and high-frequency settlement business requirements of spot transactions.
Description
Technical Field
The disclosure belongs to the technical field of electric power marketing, and particularly relates to a method and a system for optimally calculating a large-subject mixed real-time rate electric charge package.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
Since the electric power spot market construction test work is carried out, the influence factors of the electric power fee service of the power grid enterprise are mainly reflected in an electric power fee settlement mode, and compared with the traditional service, the electric power fee settlement method is more complex and the electric power price mechanism is more flexible.
And in the medium and long term mode, the electricity charge settlement of the marketized user is realized by transmitting the electric quantity to the transaction center after the special marketing meter is read, and performing the electricity charge settlement according to the provincial and extravehicular electric quantities and the electricity price which are returned and classified by the transaction center. After the spot-transaction retail market is established, the electricity charges of the electricity selling company and the agent user are settled according to a retail contract/package signed by both parties, and at present, according to market transaction rules, the retail contract/package has a periodic fixed price mode, a market rate mode for carrying out price fluctuation along with the wholesale market, a step price package set according to an electricity consumption interval, a fixed price + market rate and other mixed-mode packages. The brokerage relationship in the retail market is again diverse, since the retail contract/package minimum is 1 month. Compared with the traditional method for clearing the electric charge according to the market clearing result, after the spot-transaction retail market is established, the price for clearing the electric charge is more flexible and diversified, and the electricity selling relationship is more complex and changeable.
According to the knowledge of the inventor, based on the electricity utilization characteristics of users, the retail price can be selected according to the differentiation of different electricity utilization requirements; an electricity selling enterprise strategy for implementing differentiated package service and value-added service is provided by analyzing the user demand in the power market; against the background of national selling electricity price reform, classifying users according to user load characteristic factors, establishing a retail electricity price system comprising two electricity making prices, a basic electricity price pricing mode and an electricity price pricing mode which can be selected by the users, and analyzing the feasibility and verifying the examples of the retail electricity price system; the idea of applying a package mechanism on the basis of the traditional stepped electricity price is put forward by combining the current research method of the stepped electricity price and the package charge of the communication industry; specific differences between the power industry and the communication industry are considered, and a package mechanism which accords with the characteristics of the power industry is formulated through establishment and demonstration of a mathematical model. However, the electricity selling company mainly sells electricity to users in a form of combination of electric power and value-added services, and does not research a mixed package calculation method for users with different load characteristics, so that the demands of the users cannot be met, and the competitiveness of the electricity selling company is influenced.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for optimizing and calculating a large-main-body mixed real-time rate electric charge package.
According to some embodiments, a first scheme of the present disclosure provides a method for optimizing and calculating a large-subject mixed real-time rate electric rate package, which adopts the following technical scheme:
a method for optimally calculating a large-subject mixed real-time rate electric charge package comprises the following steps:
acquiring the daily clear total electric quantity of the mixed package;
and optimizing the time-sharing electric quantity of the mixed package by using the minimization of the electric charge of the user as an objective function according to the acquired daily-clear total electric quantity of the mixed package and a preset mixed package optimization model, and finishing the optimization calculation of the large-main mixed real-time rate electric charge package.
As a further technical limitation, the mixed package includes a retail package and a fixed package; on the basis of fixed price type package and market rate type package, determining the fixed price type electric quantity proportion, sequentially determining a fixed price type and market rate type electric price forming mechanism, and calculating a weighted average value of electric prices, namely the electric energy price of the mixed package at each time interval; wherein, the mixed package is agreed with the fixed package electric quantity proportion, and the electric quantity except the fixed package is agreed with the electric quantity proportion is settled according to the market rate class.
As a further technical limitation, the calculation process of the electricity fee of the mixed package is as follows:
loading a marketized metering point, and acquiring the daily electricity consumption of loading;
summarizing the acquired daily electric quantity according to the retail package users to obtain the total electric quantity of each retail package user in each time period;
summarizing monthly electric quantity according to retail package users to obtain monthly total electric quantity of each retail package user;
calculating according to the fixed package settlement electric quantity proportion to obtain the actual electric quantity of each time period of the fixed package part of the retail package user;
multiplying the electric quantity of each time interval of the fixed package part by the electricity price to obtain the electricity charge of each time interval;
subtracting the electric quantity of the fixed package part from the total electric quantity of each time interval to obtain the actual electric quantity of each time interval of the rate class part;
calculating the reference price of each time interval according to the reference price calculation mode and the price adjustment coefficient, and multiplying the reference price by the electric quantity of the corresponding time interval to obtain the electric charge of each time interval;
summarizing the electric quantity and the electric charge of the fixed part and the rate part to obtain daily total electric quantity and total retail transaction electric charge;
obtaining a weighted average value according to the obtained daily total electric quantity and the total retail transaction electric charge;
and obtaining the retail transaction electric charge of the retail package user according to the obtained weighted average value and the monthly total electric quantity.
Further, the weighted average is a ratio of the daily total electric quantity to the total retail transaction electric charge; and the retail package user retail transaction electric charge is the product of the weighted average value and the monthly total electric quantity.
As a further technical limitation, the objective function of the mixed package optimization model is
Wherein pi is the total electric charge expenditure of the user,
the fixed package electricity fee is shown,
representing the expense of the rate type package electric charge; p 1,t ，λ 1,t Respectively representing fixed set meal time-sharing electric quantity and electricity price; p is 2,t ·λ 2,t Respectively representing the time-sharing electric quantity and the electricity price of the rate type package.
α min ≤α≤α max
Further, the constraint condition of the objective function is P 1,t +P 2,t ＝P all,t (ii) a Wherein alpha represents the proportion constraint of the fixed package electric quantity in the marketized electric quantity, wherein alpha represents the proportion constraint of the fixed package electric quantity in the marketized electric quantity min And alpha max Respectively representing fixed price class electricityUpper and lower limits of the quantitative ratio;
represents the sum constraint of the fixed package time-sharing electric quantity, P all Representing the total quantity of marketized electricity; p 1,t +P 2,t Represents the time-sharing electric quantity of the fixed set meal and the time-sharing electric quantity constraint of the market, P all,t And (4) representing the time-sharing electric quantity of the market.
As a further technical limitation, in the process of optimizing and calculating the large-subject mixed real-time rate electric charge package, the minimum user electric charge is obtained by optimizing the electric quantity in each time period and combining the preset electric price in each time period, so that the optimizing and calculating of the large-subject mixed real-time rate electric charge package is completed.
According to some embodiments, a second aspect of the present disclosure provides a large subject mixed real-time rate electricity fee package optimization and calculation system, which adopts the following technical solutions:
a large subject mixed real-time rate electricity fee package optimization calculation system comprises:
the electric quantity obtaining module is configured to obtain the total daily clear electric quantity of the mixed package;
and the optimization calculation module is configured to optimize the time-sharing electric quantity of the mixed package according to the acquired daily total electric quantity of the mixed package and a preset mixed package optimization model by taking the minimization of the electric charge of the user as an objective function, and complete the optimization calculation of the large-main-body mixed real-time rate electric charge package.
According to some embodiments, a third aspect of the present disclosure provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, on which a program is stored, which when executed by a processor implements the steps in the method for calculating an optimized large-subject mix-like real-time rate electricity rate package according to the first aspect of the present disclosure.
According to some embodiments, a fourth aspect of the present disclosure provides an electronic device, which adopts the following technical solutions:
an electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for calculating optimized large-subject mixed real-time rate electricity rate package according to the first aspect of the present disclosure.
Compared with the prior art, the beneficial effect of this disclosure is:
the method comprises the following steps of carrying out research on a large-main-body mixed real-time rate electric charge package optimization and convenient electric charge optimization calculation method, optimizing a mixed real-time rate electric charge package structure, and determining electric charges of users in different time periods according to a reference price calculation mode and a price adjustment coefficient to provide reference for calculating retail transaction electric charges of retail package users by an electric power company; analyzing the simulation result of the large main body mixed real-time rate electric charge package under different time interval division schemes, providing practical basis for different time interval division schemes and electric charge calculation methods, and making reasonable decisions by a support company; an optimal time-interval optimization scheme is given, and the electricity consumption cost of a user is reduced; the method realizes the adaptive transformation of the existing marketing business system and the electricity selling system, meets the settlement business requirements of large scale, continuity, flexibility and high frequency of spot transactions, promotes the pilot work of the electric power spot market, and lays a solid foundation for the construction of the electric power spot market.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
Fig. 1 is a flowchart of a method for optimally calculating a large-subject mixed real-time rate electricity rate package in a first embodiment of the disclosure;
fig. 2 is a block diagram of a large subject mixed real-time rate electricity rate package optimization computing system in the second embodiment of the present disclosure.
Detailed Description
The present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
Example one
The embodiment of the disclosure introduces an optimized calculation method for a large-subject mixed real-time rate electric charge package.
As shown in fig. 1, a method for optimizing and calculating a large-subject mixed real-time rate electric charge package includes:
acquiring the daily clear total electric quantity of the mixed package;
and optimizing the time-sharing electric quantity of the mixed package according to the acquired daily total electric quantity of the mixed package and a preset mixed package optimization model by using the minimization of the electric charge of the user as an objective function, and finishing the optimization calculation of the large-main mixed real-time rate electric charge package.
As one or more embodiments, the retail package electricity price mechanism is composed of two parts, namely time-of-use electricity and time-of-use electricity price/time-of-use electricity price mechanism. The time-sharing electric quantity is decomposed to 24 hours per day according to the percentage, two decimal places are reserved for the percentage, and the time-sharing electric quantity after decomposition and during settlement is rounded up according to kilowatt-hour (decimal places are not reserved). The time-of-use electricity price/time-of-use electricity price mechanism should be decomposed to 24 hours per day, and the electricity price unit is yuan/megawatt hour, and one decimal is reserved.
The electric quantity of the electric network enterprise is settled according to the actual electric quantity (namely, the time-sharing electric quantity fitted according to the link of 'daily clearing'), and the deviation checking cost is calculated by the deviation part of the retail package appointed decomposed electric quantity and the actual settled electric quantity according to the deviation checking mode.
As one or more implementation modes, the mixed retail package is based on fixed price type and market rate type packages, firstly, the fixed price type electric quantity proportion alpha% (alpha is more than or equal to 1 and less than or equal to 99) is determined, then, the fixed price and market rate type electric price forming mechanism is sequentially determined, and the weighted average of the two parts of electric prices is the electric energy price of the mixed package in each time period. The mixed package is firstly agreed with a fixed package electric quantity proportion (the fixed electric quantity proportion is larger by 1% and smaller than 99%), and electric quantities beyond the fixed package agreed electric quantity proportion are settled according to market rates.
As one or more embodiments, as shown in table 1, a mixed-type retail package includes:
the price packages are unified in the whole period, namely the same retail price is executed on all transaction days and all time periods;
time-interval package, namely all transaction days are uniformly divided into n (n is more than or equal to 2 and less than or equal to 24) time intervals, and the same retail price is executed in each time interval;
the monthly package, namely the package time is divided into m (m is more than or equal to 2 and less than or equal to 12) monthly sections according to the monthly degree, each trading day is uniformly divided into n (n is more than or equal to 2 and less than or equal to 24) time sections, and each time section in each monthly section executes the same retail price.
TABLE 1 Mixed set meal
Attached: the mixed packages can be combined into various forms according to the package list format, and are not listed one by one.
In one or more embodiments, the calculation process of the electricity fee of the mixed package is as follows:
loading a marketized metering point, and acquiring the daily electricity consumption of loading;
summarizing the acquired daily electric quantity according to the retail package users to obtain the total electric quantity of each retail package user in each time period;
summarizing monthly electric quantity according to retail package users to obtain monthly total electric quantity of each retail package user;
calculating according to the fixed package settlement electric quantity proportion to obtain the actual electric quantity of each time period of the fixed package part of the retail package user;
multiplying the electric quantity of each time interval of the fixed package part by the electricity price to obtain the electricity charge of each time interval;
subtracting the electric quantity of the fixed package part from the total electric quantity of each time interval to obtain the actual electric quantity of each time interval of the rate class part;
calculating the reference price of each time interval according to the reference price calculation mode and the price adjustment coefficient, and multiplying the reference price by the electric quantity of the corresponding time interval to obtain the electric charge of each time interval;
summarizing the electric quantity and the electric charge of the fixed part and the rate part to obtain daily total electric quantity and total retail transaction electric charge;
obtaining a weighted average value according to the obtained daily total electric quantity and the total retail transaction electric charge;
obtaining retail transaction electric charge of retail package users according to the obtained weighted average value and the monthly total electric quantity;
wherein the weighted average is the ratio of the daily total electric quantity to the total retail transaction electric charge; and the retail package user retail transaction electric charge is the product of the weighted average value and the monthly total electric quantity.
And establishing a mixed package optimization model by combining the mixed package electricity charge calculation method, wherein the minimized user electricity charge is taken as a target function, and the mathematical model is as follows:
wherein pi is the total electric charge expenditure of the user,
the electric charge of the fixed package is shown,
representing the expenditure of rate type package electric charge; p 1,t ，λ 1,t Respectively representing fixed set meal time-sharing electric quantity and electricity price; p 2,t ·λ 2,t Respectively representing the time-sharing electric quantity and the electricity price of the rate type package.
s.t.α min ≤α≤α max (2)
P 1,t +P 2,t ＝P all,t (4)
Wherein, the formula (2), the formula (3) and the formula (4) represent the related constraints in the mixed package optimization model; the formula (2) is the proportion constraint of the fixed package electric quantity in the marketized electric quantity, wherein alpha min 、α max Respectively representing the upper limit and the lower limit of the proportion; formula (3) represents the sum constraint of the electric quantity during fixed package time, wherein P all Representing total marketized electricity; formula (4) represents the fixed package time-sharing electric quantity and market time-sharing electric quantity constraint, wherein P all,t And (4) representing the time-sharing electric quantity of the market.
Analysis of examples
A10 kV high-supply low-count marketized trading user is taken part in spot market trading by an agent of an A power selling company, 1 user is taken as an agent, the transformer capacity of the user is 5000 kilovolt-ampere (S11-M series, full operation), the total commercial electric charge of 1-5 months is 80000 yuan, the charging rate is 8978 zxft, 8978 months and 15 days are operating days (namely D days), and the industrial and commercial (two-part system) electric price is executed.
(1) Composition of mixed set meal
The user and an A power selling company sign a market mixed retail package contract, and the time-sharing electric quantity calculation result is shown in a table. The fixed package settlement electric quantity proportion is 70%, a monthly and timesharing unified price is adopted, wherein the settlement electric price is 0.24515 yuan/kilowatt hour from 0 to 7, the settlement electric price is 0.28233 yuan/kilowatt hour from 8. The rate package settlement electric quantity proportion is 30%, the standard price is settled according to the real-time price of the spot market, and the price adjustment coefficient is 0.5.
(2) Electricity charge accounting process for classified package
Fixed package type electricity charge calculation
In this case, the retail package is agreed to settle at a 70% ratio, so that the electricity charge of the fixed package electricity in the whole period is settled at first, the total electricity of the fixed package is calculated according to the agreed ratio of the fixed package electricity, the fixed electricity is calculated according to 24-point time-sharing ratio of the marketized electricity calculated by delivery, and then the electricity of the fixed package is decomposed as follows:
fixed package electric quantity = marketized metering point total electric quantity × 70% =88568 × 70% =61998 kilowatt-hour.
And decomposing the electric quantity in each time interval according to the total electric quantity of the fixed package, wherein the calculation result is shown in a table 2.
TABLE 2 fixed set meal power calculation
In the case that the user agrees that the fixed package is divided into months and time periods with uniform price, the fixed package electricity fee is calculated by multiplying the calculated time-sharing electricity quantity of the fixed package by the time-sharing electricity price of the divided months and time periods respectively. The calculation method is as follows: fixed package electricity charge = fixed package electric quantity × fixed package electricity price.
Taking time interval 0-00; and respectively calculating the fixed package electricity charges in each time period, summarizing to obtain the fixed package electricity charge 16481.85 in the assessment day, and calculating results are shown in table 3.
TABLE 3 fixed package electricity charge calculation
Fee rate type package electricity fee calculation
In the case, the retail package is contracted to be 70% in proportion, the rate class package electric quantity is 30%, and the rate class package electric quantity = total electric quantity of a market metering point-fixed package electric quantity =88568-61998=26570 kilowatt-hour. According to the total electric quantity of the rate type package, time-sharing electric quantity of each time period is obtained through decomposition, and the calculation result of the time-sharing electric quantity is shown in table 4.
Table 4 rate type package power calculation
The price of each time period of the spot market in the package is 0.20635 yuan/kilowatt hour, namely the monthly time-sharing price calculation average value of the spot market, and according to the rate type package electricity charge calculation method, taking 0-00 time period as an example, the real-time settlement price = real-time price multiplied by the price coefficient =0.20635 multiplied by 0.5=0.10318 yuan/kilowatt hour; rate class package electricity charge = rate class package electricity quantity × real-time settlement price =1013 × 0.10318=104.52 yuan; and respectively calculating the rate package electric charge of each time period, summarizing to obtain the rate package electric charge of the assessment day 2741.50, and calculating results are shown in table 5.
TABLE 5 tariff class package electricity charge calculation
Mixed package electricity fee
The user retails at the month for package electricity charge = fixed package electricity charge + rate class package electricity charge =16481.85+2741.50=19223.35 yuan.
(3) Optimized mixed package electricity charge calculation process
The mixed package optimization method obtains the fixed package proportion of 51% through optimization calculation. The specific ratio of the electric energy at each time is as follows.
Fixed package type electricity charge calculation
In this case, the retail package is agreed to settle at a 51% rate, and the fixed package power is decomposed as follows: fixed package electric quantity = total electric quantity of marketized metering point × 51% =88568 × 51% =45170 kilowatt-hour; and decomposing the electric quantity of each time interval according to the total electric quantity of the fixed set meal, wherein the calculation result is shown in a table 6.
Table 6 optimized post-fixed package electric quantity
Taking a time period of 0; respectively calculating the fixed package electricity charge of each time period, and summarizing to obtain the fixed package electricity charge of the assessment day 11906.12; the calculation results are shown in table 7.
TABLE 7 optimized post-fixed package electricity fee
| Time period | Fixed set meal time-sharing electric quantity (kilowatt hour) | Package price (Yuan/kilowatt hour) | Package electric charge (Yuan) |
| Point 0 | 1942.31 | 0.24515 | 476.1572965 |
| 1 point | 1903.4638 | 0.24515 | 466.6341506 |
| 2 point | 1836.1605 | 0.24515 | 450.1347466 |
| 3 points | 1977.5426 | 0.24515 | 484.7945684 |
| 4 points | 2085.4989 | 0.24515 | 511.2600553 |
| 5 point | 1946.827 | 0.24515 | 477.2646391 |
| 6 points | 1946.827 | 0.24515 | 477.2646391 |
| 7 o' clock | 1946.827 | 0.24515 | 477.2646391 |
| 8 points | 1817.1891 | 0.28233 | 513.0469986 |
| 9 o' clock | 1817.6408 | 0.28233 | 513.1745271 |
| 10 o' clock | 1817.1891 | 0.28233 | 513.0469986 |
| 11 point | 2133.3791 | 0.28233 | 602.3169213 |
| 12 points | 2168.6117 | 0.28233 | 612.2641413 |
| 13 o' clock | 1946.827 | 0.26343 | 512.8526366 |
| 14 points | 1953.6025 | 0.26343 | 514.6375066 |
| 15 points | 1942.31 | 0.26343 | 511.6627233 |
| 16 points | 1713.7498 | 0.26343 | 451.4531098 |
| 17 point | 1721.8804 | 0.27331 | 470.6071321 |
| 18 points | 1726.8491 | 0.27331 | 471.9651275 |
| 19 points | 1726.8491 | 0.28565 | 493.2744454 |
| 20 points | 1726.8491 | 0.28565 | 493.2744454 |
| 21 point | 1726.8491 | 0.28565 | 493.2744454 |
| 22 points | 1726.8491 | 0.26343 | 454.9038584 |
| 23 o' clock | 1759.8232 | 0.26343 | 463.5902256 |
| Total up to | 45170 | 11906.12 |
Fee rate type package electricity fee calculation
In the case, the retail package is appointed to be 51% in proportion, the electric quantity of the rate type package is 49%, and the electric quantity of the rate type package is 43398 kilowatt-hours; according to the total electric quantity of the rate type package, time-sharing electric quantity of each time period is obtained through decomposition, and the calculation result of the time-sharing electric quantity is shown in a table 8.
TABLE 8 optimized Rate class package electric quantity
The price of each time period of the spot market in the package is 0.20635 yuan/kilowatt hour, namely the monthly time-sharing price arithmetic mean value of the spot market, according to the rate class package electricity charge calculation method, taking 0-00 time period as an example, the real-time settlement price = real-time price multiplied by the price coefficient =0.20635 multiplied by 0.5=0.10318 yuan/kilowatt hour; rate class package electricity charge = rate class package electricity quantity × real-time settlement price =1013 × 0.10318=192.55 yuan; respectively calculating the rate package electric charge of each time period, and summarizing to obtain the rate package electric charge of the assessment day 2741.50; the calculation results are shown in table 9.
TABLE 9 optimized charge rate type package electric charge
Mixed package electric charge
The user retails the package in the same month, namely the electric charge = fixed package electric charge + rate class package electric charge =11906.12+4462.13=16368.25 yuan.
(4) Optimizing front and rear electricity charge comparison
The comparison of the electricity charges of the mixed package before and after optimization as shown in table 10; from table 10, it can be seen that the electricity cost of the user is significantly reduced by 14.9% after the mixed package proportion is optimized.
TABLE 10 optimized comparison of electric charges for mixed packages before and after optimization
According to the embodiment, a large main body mixed real-time rate electric charge package optimization and convenient electric charge optimization calculation method is researched, a mixed real-time rate electric charge package structure is optimized, and electric charges of users in different time periods are determined according to a reference price calculation mode and a price adjustment coefficient so as to provide references for calculating retail transaction electric charges of retail package users of an electric power company; analyzing the simulation result of the large main body mixed real-time rate electric charge package under different time interval division schemes, providing practical basis for different time interval division schemes and electric charge calculation methods, and making reasonable decisions by a support company; an optimal time-interval optimization scheme is given, and the electricity consumption cost of a user is reduced; the method realizes the adaptive transformation of the existing marketing business system and the electricity selling system, meets the settlement business requirements of large scale, continuity, flexibility and high frequency of spot transactions, promotes the pilot work of the electric power spot market, and lays a solid foundation for the construction of the electric power spot market.
Example two
The second embodiment of the disclosure introduces a large-subject mixed real-time rate electricity fee package optimization calculation system.
Fig. 2 shows a large-subject mixed real-time rate electricity fee package optimization calculation system, which includes:
the electric quantity obtaining module is configured to obtain the total daily clear electric quantity of the mixed package;
and the optimization calculation module is configured to optimize the time-sharing electric quantity of the mixed package according to the acquired daily total electric quantity of the mixed package and a preset mixed package optimization model by taking the minimization of the electric charge of the user as an objective function, and complete the optimization calculation of the large-main-body mixed real-time rate electric charge package.
The detailed steps are the same as the optimized calculation method for the large main body mixed real-time rate electric charge package provided in the first embodiment, and are not described herein again.
EXAMPLE III
The third embodiment of the disclosure provides a computer-readable storage medium.
A computer-readable storage medium, on which a program is stored, which when executed by a processor implements the steps in the method for calculating optimized large-subject mixed real-time rate electric rate package according to one embodiment of the present disclosure.
The detailed steps are the same as the optimized calculation method for the large main body mixed real-time rate electric charge package provided in the first embodiment, and are not described herein again.
Example four
The fourth embodiment of the disclosure provides an electronic device.
An electronic device includes a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for calculating optimized electricity fee package with mixed real-time rates for large body according to the first embodiment of the present disclosure.
The detailed steps are the same as the optimized calculation method of the large-subject mixed real-time rate electric charge package provided in the first embodiment, and are not described again here.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (10)
1. A method for optimally calculating a large-subject mixed real-time rate electric charge package is characterized by comprising the following steps:
acquiring the daily clear total electric quantity of the mixed package;
and optimizing the time-sharing electric quantity of the mixed package according to the acquired daily total electric quantity of the mixed package and a preset mixed package optimization model by using the minimization of the electric charge of the user as an objective function, and finishing the optimization calculation of the large-main mixed real-time rate electric charge package.
2. The optimization calculation method for large-body mixed real-time rate electric fee package as claimed in claim 1, wherein the mixed package comprises a retail package and a fixed package; on the basis of the fixed-price package and the market-rate package, determining the fixed-price electricity quantity proportion, sequentially determining a fixed-price and market-rate electricity price forming mechanism, and solving an electricity price weighted average value, namely the electric energy price of each time period of the mixed package; wherein, the mixed package is agreed with the fixed package electric quantity proportion, and the electric quantity except the fixed package is agreed with the electric quantity proportion is settled according to the market rate class.
3. The method for calculating the optimized electricity fee package of the mixed real-time rates of the large main bodies as claimed in claim 1, wherein the electricity fee of the mixed package is calculated by the following steps:
loading a marketized metering point, and acquiring the daily electricity consumption of loading;
summarizing the acquired daily clear electric quantity according to retail package users to obtain the total electric quantity of each retail package user in each time period;
summarizing monthly electric quantity according to retail package users to obtain monthly total electric quantity of each retail package user;
calculating according to the fixed package settlement electric quantity proportion to obtain the actual electric quantity of each time period of the fixed package part of the retail package user;
multiplying the electric quantity of each time interval of the fixed package part by the electricity price to obtain the electricity charge of each time interval;
subtracting the electric quantity of the fixed package part from the total electric quantity of each time interval to obtain the actual electric quantity of each time interval of the rate class part;
calculating the reference price of each time interval according to the reference price calculation mode and the price adjustment coefficient, and multiplying the reference price by the electric quantity of the corresponding time interval to obtain the electric charge of each time interval;
summarizing the electric quantity and the electric charge of the fixed part and the rate part to obtain daily total electric quantity and total retail transaction electric charge;
obtaining a weighted average value according to the obtained daily-clear total electric quantity and the total retail transaction electric charge;
and obtaining the retail transaction electric charge of the retail package user according to the obtained weighted average value and the monthly total electric quantity.
4. The method as claimed in claim 3, wherein the weighted average is a ratio of the total daily electricity amount to the total retail transaction electricity fee; and the retail transaction electric charge of the retail package user is the product of the weighted average value and the monthly total electric quantity.
5. A large-subject mixed-class real-time rate as recited in claim 1The optimization calculation method of the electric charge package is characterized in that the objective function of the hybrid package optimization model is
Wherein pi is the total electric charge expenditure of the user,
the fixed package electricity fee is shown,
representing the expenditure of rate type package electric charge; p 1,t ，λ 1,t Respectively representing fixed set meal time-sharing electric quantity and electricity price; p is 2,t ·λ 2,t Respectively representing the time-sharing electric quantity and the electricity price of the rate type package.
6. A bulk mix real-time rate electricity-rate package as claimed in claim 5
α min ≤α≤α max
The method is characterized in that the constraint condition of the objective function is P 1,t +P 2,t ＝P all,t (ii) a Wherein alpha represents the proportion constraint of the fixed package electric quantity in the marketized electric quantity, wherein alpha represents the proportion constraint of the fixed package electric quantity in the marketized electric quantity min And alpha max Respectively representing the upper limit and the lower limit of the fixed price electricity quantity proportion;
represents the sum constraint of the fixed package time-sharing electric quantity, P all Representing total marketized electricity; p 1,t +P 2,t Represents the time-sharing electric quantity of the fixed set meal and the time-sharing electric quantity constraint of the market, P all,t And (4) representing the time-sharing electric quantity of the market.
7. The method for optimally calculating the large body mixed real-time rate electric charge package as claimed in claim 1, wherein the optimized calculation of the large body mixed real-time rate electric charge package is completed by optimizing the electric quantity in each time period and combining the preset electric price in each time period to obtain the minimum electric charge of the user.
8. A large subject mixed real-time rate electricity fee package optimization calculation system is characterized by comprising:
the electric quantity obtaining module is configured to obtain the total daily clear electric quantity of the mixed package;
and the optimization calculation module is configured to optimize the time-sharing electric quantity of the mixed package according to the acquired daily total electric quantity of the mixed package and a preset mixed package optimization model by taking the minimization of the electric charge of the user as an objective function, and complete the optimization calculation of the large-main-body mixed real-time rate electric charge package.
9. A computer-readable storage medium having a program stored thereon, wherein the program, when executed by a processor, implements the steps in the method for calculating an optimized large subject mix real-time rate electricity rate package according to any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for calculating optimized large body mix real-time rate electricity fee package according to any one of claims 1-7 when executing the program.
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