CN111260354A - Electricity charge settlement method and related device in multi-time-sequence and multi-variety electric power market - Google Patents
Electricity charge settlement method and related device in multi-time-sequence and multi-variety electric power market Download PDFInfo
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Abstract
The application discloses an electric charge settlement method and a related device in a multi-time sequence and multi-variety electric power market, which are used for performing daily, day-ahead, monthly and annual electric power decomposition amount electric charge settlement and first load curve correction on the basis of basic data to obtain daily, day-ahead, monthly and annual electric power decomposition amount settlement electric charges and daily corrected load curves; performing second, third and fourth load curve correction on the daily correction load curve, and further calculating deviation electric quantity and deviation electric quantity settlement electric charge; the method has the advantages that the settlement electric charge of the daily, day-ahead, monthly and annual electric power decomposition amount and the settlement electric charge of the deviation electric quantity are input into the preset electric charge settlement model, and the total electric charge of the electricity selling company is output, so that the technical problems that the economic benefits of both parties of electric power market trading are influenced, the generation and transmission plan disorder and the electric power market order disorder are caused, and the safe and stable operation of a power grid system is influenced because the existing electric charge settlement is mainly based on the annual contract market and the deviation electric quantity generated in the day cannot be considered are solved.
Description
Technical Field
The application relates to the technical field of power markets, in particular to a method and a related device for electric charge settlement in a multi-time-sequence and multi-variety power market.
Background
The settlement of the electricity purchasing cost is an important link in the trade organization of the electric power market, along with the continuous deepening of the electric power market reformation, the existing settlement of the electricity purchasing cost is mainly based on the annual contract market, and when the adjustment occurs in the real-time operation process, the annual accumulated deviation electricity quantity is settled by the annual negotiated electricity price of the two parties. The deviation electric quantity is the deviation of actual power consumption and transaction success electric quantity, because current electric charge settlement is mainly in annual contract market, the deviation electric quantity that produces in the day can not be considered, and deviation electric quantity mishandling not only influences the economic benefits of both sides of electric power market transaction, still can lead to sending out the transmission plan confusion and electric power market order disorder, influences the safe and stable operation of electric wire netting system.
Disclosure of Invention
The application provides an electric charge settlement method and a related device under a multi-time-sequence multi-variety electric power market, which are used for solving the technical problems that the existing electric charge settlement is mainly carried out in the annual contract market and the deviation electric quantity generated in the day cannot be considered, so that the economic benefits of both parties of electric power market trading are influenced, the power generation and transmission plan disorder and the electric power market order disorder are caused, and the safe and stable operation of a power grid system is influenced.
In view of the above, the present application provides, in a first aspect, a method for settling charges of electricity in a multi-time-series multi-variety electric power market, including:
acquiring basic data, wherein the basic data comprises all electricity purchasing contract data signed by an electricity selling company and an electricity load curve of a user administered by the electricity selling company;
performing daily electric charge settlement, day-ahead electric charge settlement, monthly electric charge settlement, annual electric power decomposition amount electric charge settlement and first load curve correction on the basis of the basic data to respectively obtain daily settlement electric charges, day-ahead settlement electric charges, monthly settlement electric charges, annual electric power decomposition amount settlement electric charges and daily correction load curves;
performing second load curve correction based on the basic data and the correction load curve in the day to obtain a correction load curve before the day;
performing third load curve correction based on the basic data and the day-ahead correction load curve to obtain a monthly correction load curve;
performing fourth load curve correction based on the basic data and the monthly correction load curve to obtain an annual power decomposition correction load curve;
calculating deviation electric quantity based on the annual electric power decomposition quantity correction load curve, and performing deviation electric quantity electric charge settlement based on the deviation electric quantity to obtain deviation electric quantity settlement electric charges, wherein the deviation electric quantity settlement electric charges comprise low-valley deviation electric quantity settlement electric charges and high-peak deviation electric quantity settlement electric charges;
inputting the daily settlement electric charge, the day-ahead settlement electric charge, the monthly settlement electric charge, the annual electric power decomposition amount settlement electric charge and the deviation electric quantity settlement electric charge into a preset electric charge settlement model, and outputting the total electric charge of the electricity selling company.
Preferably, the formula of the first load curve modification is as follows:
wherein ,
the electricity loads of users of the electricity selling company i after the correction in the day and before the correction in the day in the tth preset time period of the day of the mth month respectively,
in order to trade the electricity quantity in two sides in the day,
for multilateral daily transactions, Δ TIDThe time interval corresponding to the daily transaction electricity quantity block.
Preferably, the formula of the second load curve modification is as follows:
wherein ,
the electricity load of the ith user of the electricity selling company corrected before the day in the t preset time period of the d day of the m month,
for the bilateral transaction of the electric quantity in the day,
for multilateral daily transactions, Δ TDThe time interval corresponding to the day-ahead transaction electricity quantity block.
Preferably, the formula of the third load curve modification is as follows:
wherein ,
for the electricity load of the user of the electricity selling company i after monthly correction in the t preset time period of the d day of the m month,
for monthly bilateral transaction of electricity quantity,
for monthly multilateral transactions, Δ TMThe time interval corresponding to the monthly transaction electricity quantity block.
Preferably, the fourth load curve modification formula:
wherein ,
for the electricity load of the user of the electricity selling company i after the annual correction at the t preset time period of the d day of the m month,
the electricity is decomposed for annual bilateral transactions.
Preferably, the calculating the deviation electric quantity based on the annual electric power decomposition quantity correction load curve and performing deviation electric quantity electric charge settlement based on the deviation electric quantity to obtain the deviation electric quantity settlement electric charge includes:
dividing the time of day into off-peak and peak periods based on the power load level of each day;
calculating a valley period deviation electric quantity and a peak period deviation electric quantity based on the annual power split correction load curve, the valley period and the peak period, respectively;
and respectively carrying out low-valley deviation electric quantity electricity fee settlement and high-peak deviation electric quantity electricity fee settlement based on the low-valley time deviation electric quantity, the high-peak time deviation electric quantity and the deviation checking electricity price to respectively obtain the low-valley deviation electric quantity settlement electricity fee and the high-peak deviation electric quantity settlement electricity fee.
Preferably, the preset electric charge settlement model is:
wherein ,Feei,mFor the total electricity purchase fee of the m-th month of the electricity selling company i,
settling the electricity fee for the deviated electricity amount of the mth month of the electricity selling company i,
settling the electricity fee for the annual power split amount in the mth month of the electricity selling company i,
the electricity fee is settled for the month m of the electricity selling company i,
settling the electricity fee for the day ahead of the d-th day of the m-th month of the electricity selling company i,
and (c) settling the electricity fee within the day of the tth preset period of the d day of the mth month of the electricity selling company i, ND is the number of days of the mth month, and NT is a time constant.
The present application provides in a second aspect an electric charge settlement system in a multiple-time-series multiple-variety electric power market, including:
the data acquisition module is used for acquiring basic data, wherein the basic data comprises all electricity purchasing contract data signed by an electricity selling company and an electricity load curve of a user administered by the electricity selling company;
the first correction module is used for performing daily electric charge settlement, monthly electric charge settlement, annual electric power decomposition amount electric charge settlement and first load curve correction on the basis of the basic data to respectively obtain daily settlement electric charges, monthly settlement electric charges, annual electric power decomposition amount settlement electric charges and daily correction load curves;
the second correction module is used for performing second load curve correction based on the basic data and the in-day correction load curve to obtain a day-ahead correction load curve;
the third correction module is used for correcting a third load curve based on the basic data and the day-ahead correction load curve to obtain a monthly correction load curve;
the fourth correction module is used for correcting a fourth load curve based on the basic data and the monthly correction load curve to obtain an annual power decomposition correction load curve;
the calculation module is used for calculating deviation electric quantity based on the annual electric power decomposition quantity correction load curve and performing deviation electric quantity electric charge settlement based on the deviation electric quantity to obtain deviation electric quantity settlement electric charges, and the deviation electric quantity settlement electric charges comprise low-valley deviation electric quantity settlement electric charges and high-peak deviation electric quantity settlement electric charges;
and the output module is used for inputting the daily settlement electric charge, the day-ahead settlement electric charge, the monthly settlement electric charge, the annual electric power decomposition amount settlement electric charge and the deviation electric quantity settlement electric charge into a preset electric charge settlement model and outputting the total electric charge of the electricity selling company.
Preferably, the calculation module is specifically configured to:
dividing the time of day into off-peak and peak periods based on the power load level of each day;
calculating a valley period deviation electric quantity and a peak period deviation electric quantity based on the annual power split correction load curve, the valley period and the peak period, respectively;
and respectively carrying out low-valley deviation electric quantity electricity fee settlement and high-peak deviation electric quantity electricity fee settlement based on the low-valley time deviation electric quantity, the high-peak time deviation electric quantity and the deviation checking electricity price to respectively obtain the low-valley deviation electric quantity settlement electricity fee and the high-peak deviation electric quantity settlement electricity fee.
A third aspect of the present application provides an electric charge settlement apparatus in a multi-time series multi-variety electric power market, the apparatus including a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the electric charge settlement method in the multi-time series multi-variety electric power market according to any one of the first aspect.
According to the technical scheme, the method has the following advantages:
the application provides an electric charge settlement method under a multi-time-sequence and multi-variety electric power market, which comprises the following steps: acquiring basic data, wherein the basic data comprises all electricity purchasing contract data signed by an electricity selling company and an electricity load curve of a user governed by the electricity selling company; performing daily electric charge settlement, day-ahead electric charge settlement, monthly electric charge settlement, annual electric power decomposition amount electric charge settlement and first load curve correction on the basis of the basic data to respectively obtain daily settlement electric charges, day-ahead settlement electric charges, monthly settlement electric charges, annual electric power decomposition amount settlement electric charges and daily correction load curves; performing second load curve correction based on the basic data and the day-in correction load curve to obtain a day-ahead correction load curve; performing third load curve correction based on the basic data and the day-ahead corrected load curve to obtain a monthly corrected load curve; performing fourth load curve correction based on the basic data and the monthly correction load curve to obtain an annual power decomposition correction load curve; calculating deviation electric quantity based on the annual electric power decomposition quantity correction load curve, and performing deviation electric quantity electric charge settlement based on the deviation electric quantity to obtain deviation electric quantity settlement electric charge, wherein the deviation electric quantity settlement electric charge comprises low-valley deviation electric quantity settlement electric charge and high-peak deviation electric quantity settlement electric charge; and inputting the daily settlement electric charge, the day-ahead settlement electric charge, the monthly settlement electric charge, the annual electric power decomposition amount settlement electric charge and the deviation electric quantity settlement electric charge into a preset electric charge settlement model, and outputting the total electric charge purchased by the electric power selling company.
According to the method for clearing the electric charge in the multi-time-sequence multi-variety electric power market, the day-in-the-day, day-ahead, month-in-the-year, bilateral transaction type and multilateral transaction type multi-time-sequence multi-variety transaction modes are considered, the day-in-the-day electric charge clearing, month-in-the-month electric charge clearing and annual electric power decomposition amount electric charge clearing are carried out on the acquired basic data, and the actual requirements of the multi-time-sequence multi-variety electric power market can be met; the method comprises the steps of carrying out day load curve correction, month load curve correction and annual decomposition electric quantity load curve correction on an electric load curve, further carrying out deviation electric quantity calculation to obtain deviation electric quantity, when the deviation electric quantity is larger, the prediction error of the electric selling company is larger, then the deviation electric quantity is punished, namely deviation electric quantity electricity fee settlement is carried out at a certain electricity price, the accuracy of the electric selling company for predicting the electricity consumption is improved by punishing the deviation electric quantity, the load management capacity of the electric selling company is promoted, therefore, the chaos of a power generation and transmission plan and the disorder of an electric power market are avoided, the safety of a power grid system is improved, the problems that the existing electricity fee settlement is mainly based on annual market contracts and the deviation electric quantity generated in the day cannot be considered, the economic benefits of both sides of electric power market trading are influenced, and the chaos of the power generation and the disorder of the electric power market are caused are solved, thereby influencing the technical problem of safe and stable operation of the power grid system.
Drawings
Fig. 1 is a schematic flow chart of a method for settling charges of electricity in a multi-time-sequence multi-variety electric power market according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an electric charge settlement system in a multi-time-sequence multi-variety electric power market according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
For easy understanding, referring to fig. 1, an embodiment of a method for settling electric charges in a multi-time-series multi-variety electric power market provided by the present application includes:
It should be noted that the basic data includes all electricity purchasing contract data signed by the electricity selling company and an electricity load curve of a user governed by the electricity selling company, the electricity purchasing contract data may be obtained through the transaction platform, the electricity purchasing contract data specifically includes the volume of finished traffic electricity or electricity, the price of clear electricity, and the like, and the electricity load curve may be automatically obtained through a metering automation system of the power grid enterprise.
And 102, performing daily electric charge settlement, monthly electric charge settlement, annual electric power decomposition amount electric charge settlement and first load curve correction on the basis of the basic data to respectively obtain daily settlement electric charges, monthly settlement electric charges, annual electric power decomposition amount settlement electric charges and daily corrected load curves.
It should be noted that, in the embodiment of the present application, according to the electricity purchase contract data signed by an electricity selling company in a multi-time sequence multi-variety electricity market, the contract signed in each time sequence can be divided into a double-sided transaction type contract and a multi-sided transaction type contract according to the number of market users participating in a transaction stage, the multi-sided transaction type contract refers to a market transaction type in which a buyer and a seller can participate in more than two market members in a transaction process, and the double-sided transaction type contract refers to a transaction type in which the buyer and the seller only participate in two market members in the transaction process. The daily settlement electric charges in the embodiment of the application comprise daily bilateral settlement electric charges and daily multilateral settlement electric charges, the daily settlement electric charges comprise daily bilateral settlement electric charges and daily multilateral settlement electric charges, and the monthly settlement electric charges comprise monthly bilateral settlement electric charges and monthly multilateral settlement electric charges
In the embodiment of the present application, the specific process of performing the electric charge settlement based on the electricity purchase contract data in the basic data may be to perform bilateral transaction type contract settlement first, and then perform multilateral transaction type contract settlement, specifically:
1) and (3) settlement of electric charge in a day: the daily bilateral transaction type contract settlement can be performed according to a power quantity block of every 15 minutes and a clear power price determined by the bilateral transaction contract, and the daily bilateral settlement power charge is as follows:
in the formula ,
the electricity fee is bilaterally settled for the day of the tth 15-minute period of the d-th day of the mth month of the electricity selling company i,
the transaction electric quantity and the discharge price are respectively the transaction electric quantity and the discharge price of the t 15 minute time period of the d day of the mth month of the electricity selling company i in the daily bilateral transaction type contract.
The daily multilateral transaction type contract settlement can be performed according to a power block of every 15 minutes and a discharge clear power price determined by multilateral transaction contracts, and the daily multilateral settlement power charge is as follows:
in the formula ,
the electric charges are settled for the intraday polygon of the tth 15-minute period of the d-th day of the m-th month of the electricity selling company i,
the trading electric quantity and the discharge price are respectively the t 15 minute time period of the d day of the mth month of the electricity selling company i in the multi-edge trading type contract in the day.
2) And (3) settlement of the electric charge before the day: the general transaction object of the day-ahead power transaction is the power consumption of the next day all day, so that the power selling company performs deviation correction on the medium and long-term purchased power. When the settlement is performed on the double-side transaction type contract in the day, the settlement can be performed according to the electricity quantity block of the transaction in the day and the clear electricity price determined by the double-side transaction type contract in the day, and the double-side settlement electricity fee in the day is as follows:
in the formula ,
the electricity charges are bilaterally settled for the day before the d-th day of the m-th month of the electricity selling company i,
the transaction electric quantity and the discharge price of the d day of the mth month of the electricity selling company i in the day-ahead bilateral transaction type contract are respectively.
When the settlement is performed on the multi-party trading type contract in the day, the settlement can be performed according to the electricity quantity block of the trading deal in the day and the clear electricity price determined by the multi-party trading type contract in the day, and the multi-party settlement electricity fee in the day is as follows:
in the formula ,
the electric charges are settled for the day ahead multilateral settlement of the d-th day of the m-th month of the electricity selling company i,
the trading electric quantity and the discharge price of the d-th day of the m-th month of the electricity selling company i in the multi-edge trading contract before the day are respectively.
3) Monthly electric charge settlement: the monthly electric power transaction general transaction object is monthly power consumption, when settlement is carried out on the monthly double-side transaction type contract, settlement can be carried out according to the electric quantity block of the monthly transaction and the discharge price determined by the monthly double-side transaction type contract, and monthly double-side settlement electric charge is as follows:
in the formula ,
the electricity charges are bilaterally settled for the month m of the electricity selling company i,
the transaction electric quantity and the clear electricity price in the mth month of the electricity selling company i in the monthly bilateral transaction type contract are respectively.
When the monthly multilateral transaction type contract is settled, the settlement can be carried out according to the electric quantity block of the monthly transaction and the clear electricity price determined by the monthly multilateral transaction type contract, wherein the monthly multilateral settlement electric charge is as follows:
in the formula ,
the electricity charges are settled for monthly polygon of m-th month of electricity selling company i,
the transaction electric quantity and the outgoing clear electricity price of the mth month of the electricity selling company i in the monthly multilateral transaction type contract are respectively.
4) Annual power decomposition amount electricity charge settlement: generally, market trading is carried out only in a bilateral trading mode in year and above, electricity selling companies need to decompose annual and above transaction electricity quantity to each month in actual execution, and the embodiment of the application carries out expense settlement by taking month as a time sequence, so that only settlement of annual electricity trading decomposition electricity quantity is considered. When settlement is performed for the annual bilateral transaction type decomposition amount, settlement can be performed according to the clear electricity price determined by the decomposition electricity amount and the annual decomposition amount bilateral transaction type contract, and the annual electricity decomposition amount settlement electricity fee is as follows:
in the formula ,
the electricity fee is settled for the annual power split amount in the mth month of the electricity selling company i,
the decomposed electricity quantity and the clear electricity price of the electricity selling company i in the annual decomposed quantity bilateral transaction type contract are respectively.
In the embodiment of the application, a first load curve is corrected based on basic data, on the basis of an original power consumption load curve, the bid price amount of daily bilateral and daily multilateral transactions is deducted, so that repeated calculation of daily bilateral and daily multilateral transactions is avoided, in daily bilateral and daily multilateral transaction type contracts, a 15-minute electric quantity block is used as a transaction target, the electric quantity block needs to be converted into equivalent power when the first load curve is corrected, and the formula of the first load curve correction is as follows:
wherein ,
the electricity loads of the t 15 minutes on the d day of the m month for the users of the electricity selling company i after the correction in the day and before the correction in the day,
in order to trade the electricity quantity in two sides in the day,
for multilateral daily transactions, Δ TIDThe time interval corresponding to the daily transaction electricity quantity block is 15 minutes.
And 103, performing second load curve correction based on the basic data and the intraday corrected load curve to obtain a day-ahead corrected load curve.
It should be noted that, on the basis of correcting the load curve in the day, the amount of winning bid power of the day-ahead double-sided and day-ahead multi-sided transactions is deducted, so as to avoid the repeated calculation of the day-ahead double-sided and day-ahead multi-sided transactions, and it should be noted that, in the day-ahead double-sided and day-ahead multi-sided transaction type contract, the daily amount of forming traffic block is used as the transaction target, and when performing the second load curve correction, the amount block needs to be converted into equivalent power, and the formula of the second load curve correction:
wherein ,
the electricity load of the ith user of the electricity selling company corrected before the day at the tth 15 minutes of the d day of the m month,
for the bilateral transaction of the electric quantity in the day,
for multilateral daily transactions, Δ TDThe time interval corresponding to the day-ahead transaction electricity quantity block is 24 hours.
And 104, performing third load curve correction based on the basic data and the day-ahead corrected load curve to obtain a monthly corrected load curve.
It should be noted that, on the basis of correcting the load curve in the day ahead, the bid amount of monthly bilateral and monthly multilateral transactions is deducted, so as to avoid the repeated calculation of monthly bilateral and monthly multilateral transactions, and it should be noted that, in the monthly bilateral and monthly multilateral transaction type contracts, the monthly alternating current block is used as the transaction target, and when the third load curve correction is performed, the above-mentioned block is required to be converted into equivalent power, and the formula of the third load curve correction is:
wherein ,
for the electricity load of the t 15 minutes on the d day of the m month for the user of the electricity selling company i after monthly correction,
for monthly bilateral transaction of electricity quantity,
for monthly multilateral transactions, Δ TMThe time interval corresponding to the monthly transaction electricity quantity block is that the days of the month are multiplied by 24 hours.
And 105, correcting the fourth load curve based on the basic data and the monthly corrected load curve to obtain an annual power decomposition amount corrected load curve.
It should be noted that, on the basis of monthly modified load curve, the annual bilateral transaction decomposition electric quantity is deducted, and a fourth load curve modification formula is as follows:
wherein ,
for the electricity load of the t 15 minutes on the d day of the m month for the user of the electricity selling company i after the annual correction,
decomposing the quantity of electricity, Δ T, for annual bilateral transactionsMThe time interval corresponding to the monthly transaction electricity quantity block is that the days of the month are multiplied by 24 hours.
And 106, calculating deviation electric quantity based on the annual electric power decomposition quantity correction load curve, and carrying out deviation electric quantity electric charge settlement based on the deviation electric quantity to obtain deviation electric quantity settlement electric charge.
It should be noted that, when the load prediction precision of the power selling company is higher, the assessment can be avoided in the settlement environment, otherwise, when the load prediction has deviation, the deviation part settles at a higher electricity price to penalize the deviation electricity quantity to improve the accuracy of the power consumption prediction of the power selling company and promote the load management capability of the power selling company, so that the chaos of the power transmission plan and the disorder of the power market order are avoided, and the safety of the power grid system is improved; however, in the process of punishing, the benefits of the deviation electric quantity on the operation of the power grid at different time intervals need to be considered, and the positive deviation electric quantity (namely the actual electricity consumption exceeds the transaction electric quantity) at the valley time interval is beneficial to the peak regulation of the power grid, so that the consumption capacity of clean energy is improved; the negative deviation electric quantity (i.e. the actual power consumption is less than the transaction electric quantity) in the peak period helps to alleviate the peak pressure of the power grid and reduce the standby demand, so the deviation electric quantities in the peak period and the valley period are respectively counted in the embodiment of the present application, wherein the calculation process of the deviation electric quantity may be: dividing the time of day into off-peak and peak periods based on the power load level of each day; the load curve, the valley period and the peak period are corrected based on the annual power decomposition amount, and the off-peak period deviation electric quantity and the peak period deviation electric quantity are respectively calculated, wherein the calculation formulas of the off-peak period deviation electric quantity and the peak period deviation electric quantity are as follows:
wherein ,
in order for the power selling company i to bias the power in the valley period of the mth month,
for the power selling company i to bias the amount of electricity in the peak hours of the mth month, ND is the number of days of the mth month,
for the electricity load of T15 minutes on the d day of the m month for the user of the electricity selling company i after the annual correction, T1To T2In the valley period, T2To T3The peak time period.
The method comprises the following steps of checking electricity prices on the basis of off-peak time deviation electricity quantity, on-peak time deviation electricity quantity and deviation to settle off-peak deviation electricity quantity and electricity charge respectively, and obtaining off-peak deviation electricity quantity settlement electricity charge and on-peak deviation electricity quantity settlement electricity charge respectively, wherein the calculation formulas of the off-peak deviation electricity quantity settlement electricity charge and the on-peak deviation electricity quantity settlement electricity charge are respectively as follows:
in the formula ,
respectively settling the electricity fee by the electricity selling company i in the low valley deviation electricity quantity and the high peak deviation electricity quantity in the mth month,
deviation checking electrovalence under the condition that deviation electric quantity is positive deviation and negative deviation in the valley period of the mth month respectively,
respectively the height of the m-th monthThe deviation of the peak time period deviation electric quantity under the conditions of positive deviation and negative deviation is used for checking the electricity price, and the requirements are met
When the deviation electric quantity is larger, namely the difference between the actual electricity consumption and the transaction electric quantity is larger, the larger the load prediction error of the electricity selling company is, the deviation electric quantity is penalized, namely the deviation electric quantity electricity charge settlement is carried out at a certain electricity price, the accuracy of the electricity consumption prediction of the electricity selling company is improved by penalizing the deviation electric quantity, the load management capability of the electricity selling company is promoted, the disorder of a power generation and transmission plan and the disorder of the power market order are avoided, and the safety of a power grid system is improved.
And step 107, inputting the daily settlement electric charge, the day-ahead settlement electric charge, the monthly settlement electric charge, the annual electric power decomposition amount settlement electric charge and the deviation electric quantity settlement electric charge into a preset electric charge settlement model, and outputting the total electric charge purchased by the electricity selling company.
It should be noted that, the preset electric charge settlement model in the embodiment of the present application is:
wherein ,Feei,mFor the total electricity purchase fee of the m-th month of the electricity selling company i,
the electricity fee is settled for the deviated electricity amount of the mth month of the electricity selling company i,
the electricity fee is settled for the annual power split amount in the mth month of the electricity selling company i,
the electricity fee is settled for the month of the m-th month of the electricity selling company i,
the electricity fee is settled for the day before the d-th day of the m-th month of the electricity selling company i,
the electricity fee is settled in the day of the t preset period of the d day of the mth month of the electricity selling company i, ND is the number of days of the mth month, NT is a time constant, and NT is 96 in the embodiment of the application. According to the embodiment of the application, the total electricity purchasing cost obtained by performing penalty calculation on the deviation electric quantity can be used as the reference data for the electricity selling company to perform load prediction, when the electricity selling company performs load prediction according to the total electricity purchasing cost, the deviation exists, and the deviation is subjected to penalty, so that the electricity selling company performs corresponding adjustment on the transaction electric quantity, the prediction deviation is reduced, and the accuracy of the load prediction is improved.
According to the electric charge settlement method in the multi-time-sequence multi-variety electric power market, the multi-time-sequence multi-variety transaction modes of day, month, year, bilateral transaction type and multilateral transaction type are considered, day electric charge settlement, month electric charge settlement and annual electric power decomposition amount electric charge settlement are carried out on the acquired basic data, and the actual requirements of the multi-time-sequence multi-variety electric power market can be met; the method comprises the steps of carrying out day load curve correction, month load curve correction and annual decomposition electric quantity load curve correction on an electric load curve, further carrying out deviation electric quantity calculation to obtain deviation electric quantity, when the deviation electric quantity is larger, the prediction error of the electric selling company is larger, then the deviation electric quantity is punished, namely deviation electric quantity electricity fee settlement is carried out at a certain electricity price, the accuracy of the electric selling company for predicting the electricity consumption is improved by punishing the deviation electric quantity, the load management capacity of the electric selling company is promoted, therefore, the chaos of a power generation and transmission plan and the disorder of an electric power market are avoided, the safety of a power grid system is improved, the problems that the existing electricity fee settlement is mainly based on annual market contracts and the deviation electric quantity generated in the day cannot be considered, the economic benefits of both sides of electric power market trading are influenced, and the chaos of the power generation and the disorder of the electric power market are caused are solved, thereby influencing the technical problem of safe and stable operation of the power grid system.
For easy understanding, referring to fig. 2, an embodiment of an electric charge settlement system in a multi-time-series multi-variety electric power market provided by the present application includes:
the data acquisition module 201 is configured to acquire basic data, where the basic data includes all electricity purchasing contract data signed by an electricity selling company and an electricity load curve of a user governed by the electricity selling company;
the first correction module 202 is configured to perform daily electric charge settlement, monthly electric charge settlement, annual electric power decomposition amount electric charge settlement and first load curve correction based on the basic data, so as to obtain daily electric charge settlement, monthly electric charge settlement, annual electric power decomposition amount electric charge and daily corrected load curves, respectively;
the second correction module 203 is used for performing second load curve correction based on the basic data and the intraday correction load curve to obtain a day-ahead correction load curve;
a third correction module 204, configured to perform third load curve correction based on the basic data and the day-ahead corrected load curve to obtain a monthly corrected load curve;
a fourth correction module 205, configured to perform a fourth load curve correction based on the basic data and the monthly correction load curve to obtain an annual power decomposition correction load curve;
the calculating module 206 is configured to calculate a deviation electric quantity based on the annual electric power decomposition amount correction load curve, and perform deviation electric quantity electric charge settlement based on the deviation electric quantity to obtain a deviation electric quantity settlement electric charge, where the deviation electric quantity settlement electric charge includes a low-valley deviation electric quantity settlement electric charge and a high-peak deviation electric quantity settlement electric charge;
and the output module 207 is used for inputting the daily settlement electric charge, the day-ahead settlement electric charge, the monthly settlement electric charge, the annual electric power decomposition amount settlement electric charge and the deviation electric quantity settlement electric charge into a preset electric charge settlement model and outputting the total electric charge purchased by the electricity selling company.
Further, the calculation module 206 is specifically configured to:
dividing the time of day into off-peak and peak periods based on the power load level of each day;
respectively calculating off-peak time deviation electric quantity and peak time deviation electric quantity based on the annual electric power decomposition quantity correction load curve, the off-peak time and the peak time;
and respectively carrying out low-valley deviation electric quantity electricity fee settlement and high-peak deviation electric quantity electricity fee settlement based on the low-valley time deviation electric quantity, the high-peak time deviation electric quantity and the deviation checking electricity price to respectively obtain the low-valley deviation electric quantity settlement electricity fee and the high-peak deviation electric quantity settlement electricity fee.
The embodiment of the application also provides the electric charge settlement equipment in the multi-time sequence and multi-variety electric power market, which comprises a processor and a memory;
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is configured to execute the electricity fee settlement method in the multi-time-series multi-variety electricity market in the embodiment of the electricity fee settlement method in the multi-time-series multi-variety electricity market according to the instructions in the program codes.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for executing all or part of the steps of the method described in the embodiments of the present application through a computer device (which may be a personal computer, a server, or a network device). And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A method for settling the electric charge in a multi-time sequence and multi-variety electric power market is characterized by comprising the following steps:
acquiring basic data, wherein the basic data comprises all electricity purchasing contract data signed by an electricity selling company and an electricity load curve of a user administered by the electricity selling company;
performing daily electric charge settlement, day-ahead electric charge settlement, monthly electric charge settlement, annual electric power decomposition amount electric charge settlement and first load curve correction on the basis of the basic data to respectively obtain daily settlement electric charges, day-ahead settlement electric charges, monthly settlement electric charges, annual electric power decomposition amount settlement electric charges and daily correction load curves;
performing second load curve correction based on the basic data and the correction load curve in the day to obtain a correction load curve before the day;
performing third load curve correction based on the basic data and the day-ahead correction load curve to obtain a monthly correction load curve;
performing fourth load curve correction based on the basic data and the monthly correction load curve to obtain an annual power decomposition correction load curve;
calculating deviation electric quantity based on the annual electric power decomposition quantity correction load curve, and performing deviation electric quantity electric charge settlement based on the deviation electric quantity to obtain deviation electric quantity settlement electric charges, wherein the deviation electric quantity settlement electric charges comprise low-valley deviation electric quantity settlement electric charges and high-peak deviation electric quantity settlement electric charges;
inputting the daily settlement electric charge, the day-ahead settlement electric charge, the monthly settlement electric charge, the annual electric power decomposition amount settlement electric charge and the deviation electric quantity settlement electric charge into a preset electric charge settlement model, and outputting the total electric charge of the electricity selling company.
2. The method for settling electric charge in a multi-time series and multi-variety electric power market according to claim 1, wherein the formula for the first load curve modification is as follows:
wherein ,
the electricity loads of users of the electricity selling company i after the correction in the day and before the correction in the day in the tth preset time period of the day of the mth month respectively,
in order to trade the electricity quantity in two sides in the day,
for multilateral daily transactions, Δ TIDThe time interval corresponding to the daily transaction electricity quantity block.
3. The method for settling electric charge in a multi-time series multi-variety electric power market according to claim 2, wherein the formula for the second load curve modification is as follows:
wherein ,
the electricity load of the ith user of the electricity selling company corrected before the day in the t preset time period of the d day of the m month,
for the bilateral transaction of the electric quantity in the day,
for multilateral daily transactions, Δ TDThe time interval corresponding to the day-ahead transaction electricity quantity block.
4. The method for settling an electric charge in a multi-time series multi-variety electric power market according to claim 3, wherein the third load curve modification formula:
wherein ,
for the electricity load of the user of the electricity selling company i after monthly correction in the t preset time period of the d day of the m month,
for monthly bilateral transaction of electricity quantity,
for monthly multilateral transactions, Δ TMThe time interval corresponding to the monthly transaction electricity quantity block.
5. The method for settling electric charge in a multi-time series multi-variety electric power market according to claim 4, wherein the fourth load curve is modified by the formula:
wherein ,
for the electricity load of the user of the electricity selling company i after the annual correction at the t preset time period of the d day of the m month,
the electricity is decomposed for annual bilateral transactions.
6. The method according to claim 1, wherein the calculating of the offset electric power amount based on the annual power split amount correction load curve and the offset electric power amount electric power charge settlement based on the offset electric power amount to obtain the offset electric power amount settlement electric power charge comprises:
dividing the time of day into off-peak and peak periods based on the power load level of each day;
calculating a valley period deviation electric quantity and a peak period deviation electric quantity based on the annual power split correction load curve, the valley period and the peak period, respectively;
and respectively carrying out low-valley deviation electric quantity electricity fee settlement and high-peak deviation electric quantity electricity fee settlement based on the low-valley time deviation electric quantity, the high-peak time deviation electric quantity and the deviation checking electricity price to respectively obtain the low-valley deviation electric quantity settlement electricity fee and the high-peak deviation electric quantity settlement electricity fee.
7. The method for settling the electric charge in the multi-time series and multi-variety electric power market according to claim 1, wherein the preset electric charge settlement model is as follows:
wherein ,Feei,mFor the total electricity purchase fee of the m-th month of the electricity selling company i,
settling the electricity fee for the deviated electricity amount of the mth month of the electricity selling company i,
settling the electricity fee for the annual power split amount in the mth month of the electricity selling company i,
the electricity fee is settled for the month m of the electricity selling company i,
settling the electricity fee for the day ahead of the d-th day of the m-th month of the electricity selling company i,
and (c) settling the electricity fee within the day of the tth preset period of the d day of the mth month of the electricity selling company i, ND is the number of days of the mth month, and NT is a time constant.
8. The utility model provides an electric charge settlement system under many varieties of electric power market of many chronologies which characterized in that includes:
the data acquisition module is used for acquiring basic data, wherein the basic data comprises all electricity purchasing contract data signed by an electricity selling company and an electricity load curve of a user administered by the electricity selling company;
the first correction module is used for performing daily electric charge settlement, monthly electric charge settlement, annual electric power decomposition amount electric charge settlement and first load curve correction on the basis of the basic data to respectively obtain daily settlement electric charges, monthly settlement electric charges, annual electric power decomposition amount settlement electric charges and daily correction load curves;
the second correction module is used for performing second load curve correction based on the basic data and the in-day correction load curve to obtain a day-ahead correction load curve;
the third correction module is used for correcting a third load curve based on the basic data and the day-ahead correction load curve to obtain a monthly correction load curve;
the fourth correction module is used for correcting a fourth load curve based on the basic data and the monthly correction load curve to obtain an annual power decomposition correction load curve;
the calculation module is used for calculating deviation electric quantity based on the annual electric power decomposition quantity correction load curve and performing deviation electric quantity electric charge settlement based on the deviation electric quantity to obtain deviation electric quantity settlement electric charges, and the deviation electric quantity settlement electric charges comprise low-valley deviation electric quantity settlement electric charges and high-peak deviation electric quantity settlement electric charges;
and the output module is used for inputting the daily settlement electric charge, the day-ahead settlement electric charge, the monthly settlement electric charge, the annual electric power decomposition amount settlement electric charge and the deviation electric quantity settlement electric charge into a preset electric charge settlement model and outputting the total electric charge of the electricity selling company.
9. The system for settling electric charge in a multi-time series and multi-variety electric power market according to claim 8, wherein the calculation module is specifically configured to:
dividing the time of day into off-peak and peak periods based on the power load level of each day;
calculating a valley period deviation electric quantity and a peak period deviation electric quantity based on the annual power split correction load curve, the valley period and the peak period, respectively;
and respectively carrying out low-valley deviation electric quantity electricity fee settlement and high-peak deviation electric quantity electricity fee settlement based on the low-valley time deviation electric quantity, the high-peak time deviation electric quantity and the deviation checking electricity price to respectively obtain the low-valley deviation electric quantity settlement electricity fee and the high-peak deviation electric quantity settlement electricity fee.
10. The utility model provides an electric charge settlement equipment under many varieties of electric power markets of many chronologies, characterized in that, the equipment includes processor and memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the electric charge settlement method in the multi-time sequence multi-variety electric power market according to any one of claims 1 to 7 according to instructions in the program codes.
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