CN116127758A - Regional electric energy market transaction organization method, device and equipment - Google Patents
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Abstract
The application discloses a regional electric energy market transaction organization method, device and equipment, relates to the technical field of electric power markets, and can solve the problems that the regional electric energy market transaction is influenced by coupling of green electric power quotation and conventional electric power quotation, and is unfavorable for flexible decision of market main bodies. Comprising the following steps: building a green electricity price-offering model according to the green electricity purchase price of each buyer and the green electricity selling price of each seller, and calculating the green electricity price-offering price according to the green electricity price-offering model; converting label green electricity in green electricity which is not exchanged by buyers and sellers into conventional electricity declarations, and respectively determining the latest conventional electricity purchasing quotation of each buyer and the latest conventional electricity selling quotation of each seller; and constructing a conventional power clearing model according to the latest conventional power purchase quotation and the latest conventional power selling quotation, and calculating the conventional power clearing price according to the conventional power clearing model.
Description
Technical Field
The application relates to the technical field of electric power markets, in particular to a regional electric energy market transaction organization method, a regional electric energy market transaction organization device and regional electric energy market transaction organization equipment.
Background
The regional market is used as a part of a nationwide unified power market system, mutually supports and supplements the nationwide provincial market and the regional provincial market, and in order to realize orderly connection with the nationwide provincial market and the provincial power spot market, the regional market needs to avoid the nationwide provincial market and the provincial spot market trade organization time from the aspect of trade organization time.
From the above, the market operation mechanism needs to organize both green power trade and conventional power trade in a short time, the trade organization time is short, and if two kinds of trade are sequentially organized, the development of market business of the operation mechanism and the market main body is greatly affected; if two types of transactions are organized simultaneously, the market subject is not favored to make transaction decisions, as the results of one type of transaction can affect the market subject's transaction declaration in the other type of transaction.
Disclosure of Invention
In view of the above, the application provides a regional electric energy market transaction organization method, a device and equipment, relates to the technical field of electric power markets, and can solve the problem that the regional electric energy market transaction is influenced by coupling of green electric power quotation and conventional electric power quotation, and is unfavorable for flexible decision of market main bodies.
According to one aspect of the present application, there is provided a regional electric energy market transaction organization method comprising:
building a green electricity price-out model according to green electricity purchase quotations of each buyer and green electricity selling quotations of each seller, and calculating green electricity price-out price according to the green electricity price-out model;
converting label green electricity in green electricity which is not exchanged by buyers and sellers into conventional electricity declarations, and respectively determining the latest conventional electricity purchasing quotation of each buyer and the latest conventional electricity selling quotation of each seller;
and constructing a conventional power clearing model according to the latest conventional power purchase quotation and the latest conventional power selling quotation, and calculating a conventional power clearing price according to the conventional power clearing model.
Preferably, the building of the green electricity clearing model according to the green electricity purchase price of each buyer and the green electricity sale price of each seller comprises:
constructing a buyer green electricity price reporting function according to the green electricity purchase quotation and the buyer green electricity power variable;
constructing a green electricity price reporting function of the seller according to the green electricity selling price and the green electricity power variable of the seller;
and constructing a green electricity objective function according to the buyer green electricity price function and the seller green electricity price function, acquiring a preset constraint condition, and constructing a green electricity clearing model according to the green electricity objective function and the preset constraint condition.
Preferably, the calculating green clearing price according to the green clearing model includes:
calculating the corresponding winning green electric power of the seller and winning green electric power of the buyer when the green electric objective function is optimal under the preset constraint condition;
and determining the winning green electricity price sorting of the seller according to the winning green electricity power of the seller, determining the winning green electricity price sorting of the buyer according to the winning green electricity power of the buyer, and calculating the green electricity price according to the winning green electricity price sorting of the seller and the winning green electricity price sorting of the buyer.
Preferably, the calculating green price according to the bid winning green price order of the seller and the bid winning green price order of the buyer includes:
and calculating the average value of the maximum value of the bid-in-green-electricity quotation of the seller and the minimum value of the bid-in-green-electricity quotation of the buyer to obtain the green-electricity price.
Preferably, the converting the label green electricity in the green electricity of the buyer and the seller into the regular electricity declaration, determining the latest regular electricity purchasing price of each buyer and the latest regular electricity selling price of each seller respectively includes:
the method comprises the steps of obtaining a buyer label green electric power which is converted into a conventional electric power declaration when a buyer is not in advance marked, and calculating the difference between the buyer label green electric power and the buyer label green electric power to obtain a buyer to-be-converted green electric power;
Acquiring a buyer to-green electricity conversion quotation corresponding to the buyer to-green electricity conversion power, and calculating to obtain a latest conventional power purchase quotation according to the buyer to-green electricity conversion quotation, a buyer environment premium and an initial conventional power purchase quotation declared by the buyer;
obtaining a seller tag green power which is converted into a conventional power declaration when a seller pre-marked non-final success is achieved, and calculating the difference between the seller tag green power and the seller tag green power to obtain seller power to be converted into green power;
and acquiring a seller to-be-turned green electricity quotation corresponding to the seller to-be-turned green electricity power, and calculating to obtain the latest conventional electricity selling quotation according to the seller to-be-turned green electricity quotation, the seller environment premium and the initial conventional electricity selling quotation declared by the seller.
Preferably, the building a regular power clearing model according to the latest regular power purchase price and the latest regular power sale price, and calculating a regular power clearing price according to the regular power clearing model comprises:
constructing a buyer routine power quotation function according to the latest routine power purchase quotation and the bid routine power variable in the buyer;
constructing a seller conventional power quotation function according to the latest conventional power selling quotation and the bid-winning conventional power variable of the seller;
And constructing a conventional power objective function according to the conventional power quotation function of the buyer and the conventional power quotation function of the seller, acquiring a preset constraint condition, and constructing a conventional power clearing model according to the conventional power objective function and the preset constraint condition.
Preferably, said calculating a regular power clearing price according to said regular power clearing model comprises:
calculating the bid-winning conventional power of the seller and the bid-winning conventional power of the buyer corresponding to the optimal conventional power objective function under the preset constraint condition;
and determining bid-winning conventional power quotation sorting of the seller according to the bid-winning conventional power of the seller, determining bid-winning conventional power quotation sorting of the buyer according to the bid-winning conventional power constant of the buyer, and calculating conventional power clearing price according to the bid-winning conventional power quotation sorting of the seller and the bid-winning conventional power quotation sorting of the buyer.
According to another aspect of the present application, there is provided a regional electric energy market transaction organizing device, the device comprising:
the first calculation module is used for constructing a green electricity clearing model according to the green electricity purchase quotation of each buyer and the green electricity sale quotation of each seller, and calculating the green electricity clearing price according to the green electricity clearing model;
The conversion module is used for converting the label green electricity in the green electricity which is not formed by the buyers and sellers into conventional electricity declarations and respectively determining the latest conventional electricity purchase quotation of each buyer and the latest conventional electricity sales quotation of each seller;
and the second calculation module is used for constructing a conventional power clearing model according to the latest conventional power purchase quotation and the latest conventional power selling quotation, and calculating a conventional power clearing price according to the conventional power clearing model.
According to yet another aspect of the present invention, there is provided a storage medium having stored thereon a computer program which when executed by a processor implements the above-described regional electric energy market transaction organization method.
According to yet another aspect of the present invention, there is provided a computer device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, the processor implementing the above regional electric energy market transaction organization method when executing the program.
By means of the technical scheme, the application discloses a regional electric energy market transaction organization method, a device and equipment, wherein a green electricity clearing model is constructed according to green electricity purchase quotations of each buyer and green electricity selling quotations of each seller, and green electricity clearing prices are calculated according to the green electricity clearing model; then converting the label green electricity in the green electricity which is not formed by the buyers and sellers into conventional electricity declarations, and respectively determining the latest conventional electricity purchasing quotation of each buyer and the latest conventional electricity selling quotation of each seller; and finally, constructing a conventional power clearing model according to the latest conventional power purchase quotation and the latest conventional power selling quotation, and calculating the conventional power clearing price according to the conventional power clearing model. Through the technical scheme in this application, adopt "unified declaration, the mode of going out clearly" to green electric power trade and conventional electric power trade, before same closing time, market subject need accomplish green electric power quotation and conventional electric power quotation declaration, wherein, no matter the buyer or the seller when declaring green electric power quotation, can mark the label green electricity to some green electricity according to the demand, the preferential goes out clear green electric power, if this part green electricity can not be in the winning of green electric power, deduct the environment premium of this part green electricity quotation after, can regard together this part quotation section and the initial conventional electric power that declares when unified declaring green electric power as conventional electric power and go out clearly, form green electricity and go out clear quotation and conventional electric power and go out clear quotation. The problem that the regional electric energy market transaction is influenced by the coupling of the green electric quotation and the conventional electric quotation and is unfavorable for the flexible decision of a market main body is solved, the mutual coupling and orderly connection of different-level markets are realized, and meanwhile, the transaction requirement of the flexible decision of the market main body is met.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the present application. In the drawings:
FIG. 1 is a schematic flow chart of a regional electric energy market transaction organization method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a regional electric energy market transaction organization device according to an embodiment of the present application.
Detailed Description
The present application will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that, without conflict, the embodiments and features of the embodiments in the present application may be combined with each other.
In view of the current problem, an embodiment of the present application provides a regional electric energy market transaction organization method, as shown in fig. 1, including:
101. And constructing a green electricity price according to the green electricity purchase price of each buyer and the green electricity selling price of each seller, and calculating the green electricity price according to the green electricity price model.
It should be noted that, when the electric energy quotation is performed according to a time period, the electric energy quotation represents the price of unit electric energy when the unit operates at different powers, and for each time period, the start point (unit: MW) of the power interval, the end point (unit: MW) of the power interval and the price (unit: element/MWh) of the interval need to be declared, but for the seller, that is, the generator unit side, the electric energy quotation is the selling price, and for the buyer, the electric energy quotation is the purchasing price. Because regional electric energy market trading is influenced by coupling of green electric power quotations and conventional electric power quotations, that is, if two types of trading are organized sequentially, the development of market business of an operation mechanism and a market main body is greatly influenced; if two types of transactions are organized at the same time, the transaction decision is not beneficial to the market subject, because the result of one type of transaction affects the transaction declaration of the market subject in another type of transaction, therefore, the invention adopts a mode of 'unified declaration and sequential declaration', that is, before the same closing time, the market subject (namely, the buyer and the seller) needs to finish green power (green power for short) quotation and conventional power quotation declaration, preferably, the market subject can declare green power quotation and conventional power quotation at the same time, and then the clear green power is preferentially presented, and the specific implementation mode of the clear green power is an embodiment step 101.
For the present embodiment, as an implementation manner, the construction of the green electricity clearing model according to the green electricity purchase price of each buyer and the green electricity sale price of each seller includes: constructing a green electricity price function of the buyer according to green electricity purchase quotation and green electricity power variable of the buyer; constructing a green electricity price function of the seller according to green electricity selling quotation and green electricity power variable of the seller; and constructing a green electricity clearing model according to the green electricity target function and the preset constraint conditions.
It should be noted that, whether it is a seller green telegram price function or a buyer green telegram price function, the end point of the previous power interval is the start point of the next power interval, but for the seller green telegram price function, the seller green telegram price function monotonically and non-progressively decreases with increasing power, and for the buyer green telegram price function, the buyer green telegram price function monotonically and non-progressively increases with increasing power.
Specifically, a green electricity price report function of the seller is constructed according to green electricity selling price quotation and green electricity power variable of the seller in the bid state:
Wherein, the liquid crystal display device comprises a liquid crystal display device,
for the green telegram price function of the seller i in the t period, NI1 is the green telegram price of the seller i in the t period Total power interval number->
Green electricity selling price quoted for mth power interval declared by t period seller i,/>
Marking green electric power (as a variable) in seller of mth power interval for t period seller i>
The upper limit and the lower limit of the mth green power interval are respectively declared for the t-period seller i.
It should be noted that the total declared amount of green electric power and initial regular electric power declared by the seller cannot exceed the available electric power thereof.
Wherein:
the last upper limit of green power is declared for the t period seller i,/>
Reporting the last upper limit of the initial regular power for the t period seller i,/>
The power available to seller i for period t.
Accordingly, the total declared amount of green electric power and initial regular electric power declared by the buyer cannot exceed the electric power available for purchase.
Wherein:
reporting the last upper limit of green power for t-period buyer j, < >>
Declaring the last upper limit of the initial regular power for the t-period buyer j,/for the t-period buyer j>
And (5) the power available for the buyer j in the t period. />
For example, during period t, the seller i machine installation is 100MW (i.e., the available power is 100 MW), the green electricity sales offer is: 0-20MW:0.42 yuan/MW, 20-50MW: the initial conventional electricity sales offer for the seller is 0.45 yuan/MW: 0-50MW:0.38 yuan/MW, respectively, ni1=2, 0-20MW and 20-50MW, respectively, for period t, for seller i 
Wherein (1)>
And->
Are variables.
Similarly, a buyer green electricity price function is constructed according to green electricity purchase quotation and a buyer winning green electricity power variable:
Wherein, the liquid crystal display device comprises a liquid crystal display device,
for the green electricity price function of the buyer j in the t period, NI2 is the total power interval number of the green electricity price of the buyer j in the t period,/>
Green electricity purchase price corresponding to mth power interval declared for t time period buyer j,/->
For t time period buyer j isThe buyer of the mth power interval marks green electric power (as a variable),/for the first power interval>
The upper limit and the lower limit of the mth green power interval declared by the t period buyer j are respectively provided.
For example, during period t, buyer j uses 150MW (i.e., the available power is 150 MW), and the green electricity purchase price is: 0-20MW:0.43 yuan/MW, 20-50MW:0.42 yuan/MW and 50-70MW: the initial conventional power purchase price for the buyer is 0.41 yuan/MW: 0-50MW:0.35 yuan/MW, 50-80MW:0.33 yuan/MW, corresponding to ni2=3, 0-20MW,20-50MW and 50-70MW, respectively, for time period t, buyer j
Wherein (1)>
And->
Are variables.
Specifically, a green electricity objective function is constructed according to the buyer green electricity price function and the seller green electricity price function, and preferably, the objective is that social benefit is maximized:
where T represents the total time period, K represents the total number of buyers, N represents the total number of sellers, 
Representing the green charge price function of buyer j in t period, < >>
Represents the winning green electric power (as a variable) in the t period buyer j,/and%>
Representing the seller i green telegram price function of the t period,/->
The power (a variable) of green in seller i is indicated in time t.
Specifically, a preset constraint condition is obtained, and a green electricity clearing model is constructed according to a green electricity objective function and the preset constraint condition, wherein the preset constraint condition can comprise: system constraints (including system load balancing constraints, system positive/negative standby constraints, etc.), network security constraints (including inter-provincial tie-line flow constraints, inter-provincial critical line flow constraints, inter-provincial/intra-provincial critical section flow constraints), unit operation constraints (including upper power limit constraints, climbing constraints, etc.), and the like.
Specifically, calculating the green electricity clearing price according to the green electricity clearing model includes: calculating corresponding winning green electric power of the seller and winning green electric power of the buyer when the green electric objective function is optimal under a preset constraint condition; and determining the winning green electricity price sorting of the seller according to the winning green electric power of the seller, determining the winning green electricity price sorting of the buyer according to the winning green electric power constant of the buyer, and calculating the green price according to the winning green electricity price sorting of the seller and the winning green electricity price sorting of the buyer.
The bid-winning green electric power of the seller refers to a bid-winning green electric power value of the seller, a plurality of bid-winning green electric quotations of the seller are corresponding to the bid-winning green electric power of the seller, and similarly, the bid-winning green electric power of the buyer refers to a bid-winning green electric power value of the buyer, and a plurality of bid-winning green electric quotations of the buyer are corresponding to the bid-winning green electric power of the buyer.
Specifically, the green electricity clearing price is calculated according to the bid-winning green electricity price sorting of the seller and the bid-winning green electricity price sorting of the buyer, and the method comprises the following steps: and calculating the average value of the maximum value of the bid-in-green-electricity quotation of the seller and the minimum value of the bid-in-green-electricity quotation of the buyer to obtain the green-electricity price.
Wherein, the maximum value of the bid-green price quotation corresponds to the minimum value of the bid-green price quotation in the seller and the buyer in each time period, and the green price calculation formula is as follows:
wherein r is t Green power The price of the green electricity is cleared,
minimum value for bid green electricity bid for buyer, < +.>
The maximum value of the green electricity bid is bid for the seller.
102. And converting the label green electricity in the green electricity which is not submitted by the buyers and sellers into conventional electricity declarations, and respectively determining the latest conventional electricity purchasing quotation of each buyer and the latest conventional electricity selling quotation of each seller.
It should be noted that, after the green power transaction is finished, the conventional power needs to be continuously transacted, but in order to realize mutual coupling and orderly connection of different levels of markets and simultaneously meet the transaction requirement of flexible decision of market main bodies, when green power quotation is declared, no matter a buyer or a seller can mark a part of green power according to the requirement, namely, the green power is marked, clear green power is preferentially produced, if the part of green power marked by the label fails to mark when green power is clear, after environmental premium of the part of green power quotation is deducted, the part of quotation section and initial conventional power declared when the green power is declared uniformly are jointly used as conventional power to be clear, and green power clear quotation and latest conventional power clear quotation are formed.
For the embodiment, as an implementation manner, the buyer label green electric power converted into the conventional electric power declaration when the buyer is not in contact with the label is obtained, and the difference between the buyer label green electric power and the buyer label green electric power is calculated to obtain the buyer power to be converted into the green electric power; acquiring a buyer to-green electricity conversion quotation corresponding to the buyer to-green electricity conversion power, and calculating to obtain a latest conventional power purchase quotation according to the buyer to-green electricity conversion quotation, the buyer environment premium and an initial conventional power purchase quotation declared by the buyer; obtaining a seller tag green power which is converted into a conventional power declaration when a seller pre-marked non-final success is achieved, and calculating the difference between the seller tag green power and the seller tag green power to obtain the seller power to be converted into green power; and acquiring a seller to-green electricity conversion quotation corresponding to the seller to-green electricity conversion power, and calculating to obtain the latest conventional electricity sales quotation according to the seller to-green electricity conversion quotation, the seller environment premium and the initial conventional electricity sales quotation declared by the seller.
The seller environment overflow rates of the same seller in each period are the same, and the buyer environment overflow rates of the same buyer in each period are the same, and the buyer environment overflow rates and the seller environment overflow rates can be different or the same, and are not limited herein.
For example, during period t, buyer j uses 150MW of electricity demand, and green electricity purchase price is: 0-20MW:0.43 yuan/MW, 20-50MW:0.42 yuan/MW and 50-70MW: the initial conventional power purchase price for the buyer is 0.41 yuan/MW: 0-50MW:0.35 yuan/MW, 50-80MW: if the power of the green label in the buyer is 10MW and the preset power of the green label in the buyer is 30MW, the power of the green label in the buyer is 30MW (power of the green label in the buyer) -10MW (power of the green label in the buyer) =20mw will be used as the power to be turned green by the buyer.
Then, obtaining the green electricity quotation to be converted by the buyer: since the green-marked electric power in the buyer is 10MW, the part of the electricity to be converted into the conventional electricity declaration is not needed, and the 20MW of the electricity to be converted into the green by the buyer is segmented from the quotations corresponding to the 10MW (the green electricity purchase quotations are 0-20MW:0.43 yuan/MW, the 10MW is in the interval of 0-20MW, and the corresponding quotations are 0.43 yuan/MW), and the method is divided into: 0-10MW:0.43 yuan/MW, 10-20MW:0.42 yuan/MW, further, after deducting the buyer environment premium (0.03 yuan/MW): 0-10MW:0.43 to 0.03 yuan/MW = 0.40 yuan/MW, 10-20MW: 0.42-0.03-0.39 membered/MW.
Finally, since the buying quotation of the buyer is monotonously and non-increased, the initial conventional electric power buying quotation of the buyer and the green electricity waiting price of the buyer after deducting the environmental premium of the buyer are ranked again according to the monotonously and non-increased order of the quotation, and correspondingly, the power is accumulated to obtain the latest conventional electric power buying quotation of the buyer: 0-10MW:0.40 yuan/MW, 10-20MW:0.39 yuan/MW, 20-70MW:0.35 yuan/MW, 70-100MW:0.33 yuan/MW.
For example, during period t, the seller i machine set is 100MW and the green electricity vending offer is: 0-20MW:0.42 yuan/MW, 20-50MW: the initial conventional electricity sales offer for the seller is 0.45 yuan/MW: 0-50MW: if the power of the green marked in the seller is 30MW and the preset power of the green marked in the seller is 40MW, the power of 40MW (power of green marked in the seller) -30MW (power of green marked in the seller) =10MW is taken as the power to be turned green by the seller;
then, obtaining the green electricity quotation to be converted by the seller: since the green-winning electric power in the seller is 30MW, the part of the electricity to be converted into the conventional electricity declaration is not needed, and the electricity to be converted into the green electric power 10MW of the seller is segmented from the quotations corresponding to the 30MW (the green electricity selling quotations are 20-50MW:0.45 yuan/MW, the 30MW is in the interval of 20-50MW, and the corresponding quotations are 0.45 yuan/MW) and divided into: 0-10MW:0.45 yuan/MW, deducting vendor ambient premium (0.02 yuan/MW): 0-10MW: 0.45-0.02-0.43 yuan/MW.
Finally, as the seller purchase quotation is monotonously and non-decreasing, the seller initial regular power purchase quotation and the seller to-be-turned green electricity report price after deducting the environmental premium of the seller are ranked again according to the monotonously and non-decreasing order of quotation, and correspondingly, the power is accumulated to obtain the latest regular power selling quotation of the seller: 0-50MW:0.38 yuan/MW, 50-60MW:0.43 yuan/MW (50-60 MW is the accumulation of 0-10MW on a 50MW basis, and 0-10MW corresponds to 0.43 yuan/MW after subtracting the buyer's ambient premium from the last known button).
103. And constructing a conventional power clearing model according to the latest conventional power purchase quotation and the latest conventional power selling quotation, and calculating the conventional power clearing price according to the conventional power clearing model.
For the present embodiment, as an implementation manner, the same manner as the green electricity preliminary transaction in the embodiment step 101 is that the green electricity is used in the embodiment step 101, and for the present embodiment, the conventional electricity is used, specifically, a buyer conventional electricity quotation function is constructed according to the latest conventional electricity purchase quotation and the buyer nominal conventional electricity power; constructing a seller conventional power quotation function according to the latest conventional power selling quotation and the winning conventional power of the seller; and constructing a conventional power objective function according to the conventional power quotation function of the buyer and the conventional power quotation function of the seller, acquiring a preset constraint condition, and constructing a conventional power clearing model according to the conventional power objective function and the preset constraint condition.
It should be noted that, whether it is a regular power quotation function of the seller or a regular power quotation function of the buyer, the end point of the previous power interval is the start point of the next power interval, but for the regular power quotation function of the seller, the regular power quotation function of the seller is monotonically non-decreasing with increasing power, and for the regular power quotation function of the buyer, the regular power quotation function of the buyer is monotonically non-increasing with increasing power.
Specifically, a seller conventional power quotation function is constructed according to conventional power selling quotations and standard conventional power variables in sellers:
Wherein, the liquid crystal display device comprises a liquid crystal display device,
for the t-period seller i conventional power quotation function, NI3 is the total power interval number of the t-period seller i conventional power quotation, +.>
Regular power sales offer corresponding to mth power interval declared for t-period seller i,/->
Regular power (is a variable) is marked in the seller of the mth power interval for period t seller i,
the upper limit and the lower limit of the mth conventional power interval are respectively declared for the t-period seller i.
It should be noted that the total declared amount of green electric power and initial regular electric power declared by the seller cannot exceed the available electric power thereof.
Wherein:
the last upper limit of green power is declared for the t period seller i,/ >
Reporting the last upper limit of the initial regular power for the t period seller i,/>
The power available to seller i for period t.
Accordingly, the total declared amount of green electric power and initial regular electric power declared by the buyer cannot exceed the electric power available for purchase.
Wherein:
reporting the last upper limit of green power for t-period buyer j, < >>
Declaring the last upper limit of the initial regular power for the t-period buyer j,/for the t-period buyer j>
And (5) the power available for the buyer j in the t period.
For example, during period t, the seller i machine installation is 100MW (i.e., the available power is 100 MW), the green electricity sales offer is: 0-20MW:0.42 yuan/MW, 20-50MW: the latest conventional electricity sales offers are 0.45 yuan/MW: 0-50MW:0.38 yuan/MW, 50-60MW:0.43 yuan/MW, corresponding to ni3=2, 0-50MW, and 50-60MW:0.43 yuan/MW, at time t period, seller i
Wherein (1)>
And->
Is a variable.
Similarly, a buyer routine power quotation function is constructed according to routine power purchase quotations and buyer routine power variables.
Wherein, the liquid crystal display device comprises a liquid crystal display device,
for the t-period buyer j conventional power quotation function, NI4 is the total power interval number, < ->
Routine power purchase price corresponding to mth power interval declared for t-period buyer j,/- >
Regular power is marked (as a variable) in the buyer of the mth power interval for period t buyer j,
the upper limit and the lower limit of the mth conventional power section declared by the t-period buyer j are respectively provided.
For example, during period t, buyer j uses 150MW (i.e., the available power is 150 MW), and the green electricity purchase price is: 0-20MW:0.43 yuan/MW, 20-50MW:0.42 yuan/MW and 50-70MW: the latest conventional power purchase offers are 0.41 yuan/MW: 0-10MW:0.40 yuan/MW, 10-20MW:0.39 yuan/MW, 20-70MW:0.35 yuan/MW, 70-100MW:0.33 yuan/MW, corresponding to ni4=4, 0-10MW, 10-20MW, 20-70MW, 70-100MW, respectively, for the period t, for buyer j:
wherein, the liquid crystal display device comprises a liquid crystal display device,
are variables.
Specifically, the conventional power objective function is constructed according to the buyer conventional power quotation function and the seller conventional power quotation function, and preferably, the social benefit maximization is targeted:
where T represents the total time period, K represents the total number of buyers, N represents the total number of sellers,
representing a t-period buyer j conventional power quotation function, < >>
Indicating t time period buyer j winning regular power, < +.>
Representing t-period seller i conventional power quotation function, < >>
Representing the nominal conventional power in time period t, seller i.
Specifically, a preset constraint condition is obtained, and a green electricity clearing model is constructed according to a green electricity objective function and the preset constraint condition, wherein the preset constraint condition can comprise: system constraints (including system load balancing constraints, system positive/negative standby constraints, etc.), network security constraints (including inter-provincial tie-line flow constraints, inter-provincial critical line flow constraints, inter-provincial/intra-provincial critical section flow constraints), unit operation constraints (including upper power limit constraints, climbing constraints, etc.), and the like.
Calculating a conventional power clearing price according to a conventional power clearing model, comprising: calculating the corresponding bid-winning conventional power of the seller and the bid-winning conventional power of the buyer when the conventional power objective function is maximum under the preset constraint condition; and determining bid-winning conventional power quotation sorting of the seller according to the bid-winning conventional power of the seller, determining bid-winning conventional power quotation sorting of the buyer according to the bid-winning conventional power of the buyer, and calculating conventional power price according to the bid-winning conventional power quotation sorting of the seller and the bid-winning conventional power quotation sorting of the buyer.
The bid-winning conventional power in the seller refers to a conventional power value in the seller, a plurality of bid-winning conventional power quotations in the seller are corresponding to the bid-winning conventional power in the seller, and similarly, the bid-winning conventional power in the buyer refers to a conventional power value in the buyer, and a plurality of bid-winning conventional power quotations in the buyer are corresponding to the bid-winning conventional power constant in the buyer.
Specifically, calculating the conventional power price according to the bid-winning conventional power price ordering of the seller and the bid-winning conventional power price ordering of the buyer includes: and calculating the average value of the maximum value of the bid-in conventional power quotation in the seller and the minimum value of the bid-in conventional power quotation in the buyer to obtain the conventional power price.
Wherein, the maximum value of the bid-in conventional power quotation and the minimum value of the bid-in conventional power quotation correspond to each time period, and the conventional power price calculation formula is as follows:
wherein r is t Conventional electric power For the price of the conventional electric power to be cleared,
bid for the buyer for the minimum value of the conventional power bid,/-for the buyer>
The maximum value of the conventional power bid is bid for the seller.
The application discloses a regional electric energy market transaction organization method, a device and equipment, firstly, a green electricity clearing model is built according to green electricity purchase quotations of each buyer and green electricity selling quotations of each seller, and green electricity clearing prices are calculated according to the green electricity clearing model; then converting the label green electricity in the green electricity which is not formed by the buyers and sellers into conventional electricity declarations, and respectively determining the latest conventional electricity purchasing quotation of each buyer and the latest conventional electricity selling quotation of each seller; and finally, constructing a conventional power clearing model according to the latest conventional power purchase quotation and the latest conventional power selling quotation, and calculating the conventional power clearing price according to the conventional power clearing model. Through the technical scheme in this application, adopt "unified declaration, the mode of going out clearly" to green electric power trade and conventional electric power trade, before same closing time, market subject need accomplish green electric power quotation and conventional electric power quotation declaration, wherein, no matter the buyer or the seller when declaring green electric power quotation, can mark the label green electricity to some green electricity according to the demand, the preferential goes out clear green electric power, if this part green electricity can not be in the winning of green electric power, deduct the environment premium of this part green electricity quotation after, can regard together this part quotation section and the initial conventional electric power that declares when unified declaring green electric power as conventional electric power and go out clearly, form green electricity and go out clear quotation and conventional electric power and go out clear quotation. The problem that the regional electric energy market transaction is influenced by the coupling of the green electric quotation and the conventional electric quotation and is unfavorable for the flexible decision of a market main body is solved, the mutual coupling and orderly connection of different-level markets are realized, and meanwhile, the transaction requirement of the flexible decision of the market main body is met.
Further, as a specific implementation of the method shown in fig. 1, an embodiment of the present application provides a regional electric energy market transaction organization device, as shown in fig. 2, including: a first calculation module 21, a conversion module 22, a second calculation module 23;
a first calculation module 21, configured to construct a green electricity clearing model according to a green electricity purchase offer of each buyer and a green electricity sale offer of each seller, and calculate a green electricity clearing price according to the green electricity clearing model;
the conversion module 22 is configured to convert the tag green electricity in the green electricity which is not formed by the buyer and the seller into a conventional electricity declaration, and determine the latest conventional electricity purchase price of each buyer and the latest conventional electricity sale price of each seller respectively;
the second calculation module 23 is configured to construct a conventional power clearing model according to the latest conventional power purchase offer and the latest conventional power sale offer, and calculate a conventional power clearing price according to the conventional power clearing model.
Accordingly, in order to construct a green electricity price-finding model according to the green electricity purchase price of each buyer and the green electricity sales price of each seller, the first calculation module 21 is specifically configured to construct a buyer green electricity price function according to the green electricity purchase price and the bid-in-green electricity power variable of the buyer; constructing a green electricity price reporting function of the seller according to the green electricity selling price and the green electricity power variable of the seller; and constructing a green electricity objective function according to the buyer green electricity price function and the seller green electricity price function, acquiring a preset constraint condition, and constructing a green electricity clearing model according to the green electricity objective function and the preset constraint condition.
Correspondingly, in order to calculate the green electricity clearing price according to the green electricity clearing model, the first calculation module 21 may be specifically further configured to calculate the winning green electric power of the seller and the winning green electric power of the buyer, which correspond to the optimal green electricity objective function under the preset constraint condition; and determining the winning green electricity price sorting of the seller according to the winning green electricity power of the seller, determining the winning green electricity price sorting of the buyer according to the winning green electricity power of the buyer, and calculating the green electricity price according to the winning green electricity price sorting of the seller and the winning green electricity price sorting of the buyer.
Accordingly, in order to calculate the green bid price according to the bid price ranking of the seller and the bid price ranking of the buyer, the first calculation module 21 may be further specifically configured to: and calculating the average value of the maximum value of the bid-in-green-electricity quotation of the seller and the minimum value of the bid-in-green-electricity quotation of the buyer to obtain the green-electricity price.
Correspondingly, in order to convert the label green electricity in the non-transacted green electricity of the buyer and the seller into the conventional electricity declaration, the conversion module 22 is used for respectively determining the latest conventional electricity purchasing quotation of each buyer and the latest conventional electricity selling quotation of each seller, and specifically can be used for obtaining the buyer label green electricity power converted into the conventional electricity declaration by the non-transacted marked in advance of the buyer, and calculating the difference between the buyer label green electricity power and the buyer label green electricity power to obtain the buyer to-be-converted green electricity power; acquiring a buyer to-green electricity conversion quotation corresponding to the buyer to-green electricity conversion power, and calculating to obtain a latest conventional power purchase quotation according to the buyer to-green electricity conversion quotation, a buyer environment premium and an initial conventional power purchase quotation declared by the buyer; obtaining a seller tag green power which is converted into a conventional power declaration when a seller pre-marked non-final success is achieved, and calculating the difference between the seller tag green power and the seller tag green power to obtain seller power to be converted into green power; and acquiring a seller to-be-turned green electricity quotation corresponding to the seller to-be-turned green electricity power, and calculating to obtain the latest conventional electricity selling quotation according to the seller to-be-turned green electricity quotation, the seller environment premium and the initial conventional electricity selling quotation declared by the seller.
Accordingly, in order to construct a conventional power clearing model according to the latest conventional power purchase price and the latest conventional power sales price, the second calculation module 23 is specifically configured to construct a buyer conventional power price function according to the latest conventional power purchase price and a buyer nominal conventional power variable; constructing a seller conventional power quotation function according to the latest conventional power selling quotation and the bid-winning conventional power variable of the seller; and constructing a conventional power objective function according to the conventional power quotation function of the buyer and the conventional power quotation function of the seller, acquiring a preset constraint condition, and constructing a conventional power clearing model according to the conventional power objective function and the preset constraint condition.
Correspondingly, in order to calculate the regular power clearing price according to the regular power clearing model, the second calculation module 23 may be specifically further configured to calculate the nominal regular power in the seller and the nominal regular power in the buyer corresponding to the optimal regular power objective function under the preset constraint condition; and determining bid-winning conventional power quotation sorting of the seller according to the bid-winning conventional power of the seller, determining bid-winning conventional power quotation sorting of the buyer according to the bid-winning conventional power of the buyer, and calculating conventional power price according to the bid-winning conventional power quotation sorting of the seller and the bid-winning conventional power quotation sorting of the buyer.
It should be noted that, other corresponding descriptions of each functional unit related to the regional electric energy market transaction organization device provided in the present embodiment may refer to the corresponding descriptions of fig. 1, and are not described herein again.
Based on the above method shown in fig. 1, correspondingly, the present embodiment further provides a storage medium, which may be specifically volatile or nonvolatile, and has computer readable instructions stored thereon, where the readable instructions when executed by the processor implement the above regional electric energy market transaction organization method shown in fig. 1.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and includes several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to execute the method of each implementation scenario of the present application.
Based on the method shown in fig. 1 and the virtual device embodiment shown in fig. 2, in order to achieve the above object, this embodiment further provides a computer device, which includes a storage medium and a processor; a storage medium storing a computer program; a processor for executing a computer program to implement the regional electric energy market transaction organization method as described above and illustrated in fig. 1.
Optionally, the computer device may also include a user interface, a network interface, a camera, radio Frequency (RF) circuitry, sensors, audio circuitry, WI-FI modules, and the like. The user interface may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), etc.
It will be appreciated by those skilled in the art that the architecture of a computer device provided in this embodiment is not limited to this physical device, but may include more or fewer components, or may be combined with certain components, or may be arranged in a different arrangement of components.
The storage medium may also include an operating system, a network communication module. An operating system is a program that manages the computer device hardware and software resources described above, supporting the execution of information handling programs and other software and/or programs. The network communication module is used for realizing communication among all components in the storage medium and communication with other hardware and software in the information processing entity equipment.
From the above description of the embodiments, it will be apparent to those skilled in the art that the present application may be implemented by means of software plus necessary general hardware platforms, or may be implemented by hardware.
The application discloses a regional electric energy market transaction organization method, a device and equipment, firstly, a green electricity clearing model is built according to green electricity purchase quotations of each buyer and green electricity selling quotations of each seller, and green electricity clearing prices are calculated according to the green electricity clearing model; then converting the label green electricity in the green electricity which is not formed by the buyers and sellers into conventional electricity declarations, and respectively determining the latest conventional electricity purchasing quotation of each buyer and the latest conventional electricity selling quotation of each seller; and finally, constructing a conventional power clearing model according to the latest conventional power purchase quotation and the latest conventional power selling quotation, and calculating the conventional power clearing price according to the conventional power clearing model. Through the technical scheme in this application, adopt "unified declaration, the mode of going out clearly" to green electric power trade and conventional electric power trade, before same closing time, market subject need accomplish green electric power quotation and conventional electric power quotation declaration, wherein, no matter the buyer or the seller when declaring green electric power quotation, can mark the label green electricity to some green electricity according to the demand, the preferential goes out clear green electric power, if this part green electricity can not be in the winning of green electric power, deduct the environment premium of this part green electricity quotation after, can regard together this part quotation section and the initial conventional electric power that declares when unified declaring green electric power as conventional electric power and go out clearly, form green electricity and go out clear quotation and conventional electric power and go out clear quotation. The problem that the regional electric energy market transaction is influenced by the coupling of the green electric quotation and the conventional electric quotation and is unfavorable for the flexible decision of a market main body is solved, the mutual coupling and orderly connection of different-level markets are realized, and meanwhile, the transaction requirement of the flexible decision of the market main body is met.
Those skilled in the art will appreciate that the drawings are merely schematic illustrations of one preferred implementation scenario, and that the modules or flows in the drawings are not necessarily required to practice the present application. Those skilled in the art will appreciate that modules in an apparatus in an implementation scenario may be distributed in an apparatus in an implementation scenario according to an implementation scenario description, or that corresponding changes may be located in one or more apparatuses different from the implementation scenario. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The foregoing application serial numbers are merely for description, and do not represent advantages or disadvantages of the implementation scenario. The foregoing disclosure is merely a few specific implementations of the present application, but the present application is not limited thereto and any variations that can be considered by a person skilled in the art shall fall within the protection scope of the present application.
Claims (10)
1. A method for organizing regional electric energy market transactions, applied to post-release transaction announcements, comprising:
building a green electricity price-out model according to green electricity purchase quotations of each buyer and green electricity selling quotations of each seller, and calculating green electricity price-out price according to the green electricity price-out model;
Converting label green electricity in green electricity which is not exchanged by buyers and sellers into conventional electricity declarations, and respectively determining the latest conventional electricity purchasing quotation of each buyer and the latest conventional electricity selling quotation of each seller;
and constructing a conventional power clearing model according to the latest conventional power purchase quotation and the latest conventional power selling quotation, and calculating a conventional power clearing price according to the conventional power clearing model.
2. The method of claim 1, wherein constructing a green electricity clearing model from green electricity purchase offers for each buyer and green electricity sales offers for each seller comprises:
constructing a buyer green electricity price reporting function according to the green electricity purchase quotation and the buyer green electricity power variable;
constructing a green electricity price reporting function of the seller according to the green electricity selling price and the green electricity power variable of the seller;
and constructing a green electricity objective function according to the buyer green electricity price function and the seller green electricity price function, acquiring a preset constraint condition, and constructing a green electricity clearing model according to the green electricity objective function and the preset constraint condition.
3. The method of claim 2, wherein said calculating green play prices from the green play model comprises:
Calculating the corresponding winning green electric power of the seller and winning green electric power of the buyer when the green electric objective function is optimal under the preset constraint condition;
and determining the winning green electricity price sorting of the seller according to the winning green electricity power of the seller, determining the winning green electricity price sorting of the buyer according to the winning green electricity power of the buyer, and calculating the green electricity price according to the winning green electricity price sorting of the seller and the winning green electricity price sorting of the buyer.
4. The method of claim 3, wherein said calculating a green bid price from said seller's winning green bid price ordering and said buyer's winning green bid price ordering comprises:
and calculating the average value of the maximum value of the bid-in-green-electricity quotation of the seller and the minimum value of the bid-in-green-electricity quotation of the buyer to obtain the green-electricity price.
5. The method of claim 3, wherein converting the tag green electricity in the buyer-seller's non-diagrammed green electricity to a regular electricity declaration, determining the latest regular electricity purchase price for each buyer and the latest regular electricity sale price for each seller, respectively, comprises:
the method comprises the steps of obtaining a buyer label green electric power which is converted into a conventional electric power declaration when a buyer is not in advance marked, and calculating the difference between the buyer label green electric power and the buyer label green electric power to obtain a buyer to-be-converted green electric power;
Acquiring a buyer to-green electricity conversion quotation corresponding to the buyer to-green electricity conversion power, and calculating to obtain a latest conventional power purchase quotation according to the buyer to-green electricity conversion quotation, a buyer environment premium and an initial conventional power purchase quotation declared by the buyer;
obtaining a seller tag green power which is converted into a conventional power declaration when a seller pre-marked non-final success is achieved, and calculating the difference between the seller tag green power and the seller tag green power to obtain seller power to be converted into green power;
and acquiring a seller to-be-turned green electricity quotation corresponding to the seller to-be-turned green electricity power, and calculating to obtain the latest conventional electricity selling quotation according to the seller to-be-turned green electricity quotation, the seller environment premium and the initial conventional electricity selling quotation declared by the seller.
6. The method of claim 1, wherein said constructing a regular power clearing model from said latest regular power purchase offer and said latest regular power sales offer, calculating a regular power clearing price from said regular power clearing model, comprises:
constructing a buyer routine power quotation function according to the latest routine power purchase quotation and the bid routine power variable in the buyer;
Constructing a seller conventional power quotation function according to the latest conventional power selling quotation and the bid-winning conventional power variable of the seller;
and constructing a conventional power objective function according to the conventional power quotation function of the buyer and the conventional power quotation function of the seller, acquiring a preset constraint condition, and constructing a conventional power clearing model according to the conventional power objective function and the preset constraint condition.
7. The method of claim 6, wherein said calculating a regular power clearing price based on said regular power clearing model comprises:
calculating the bid-winning conventional power of the seller and the bid-winning conventional power of the buyer corresponding to the optimal conventional power objective function under the preset constraint condition;
and determining bid-winning conventional power quotation sorting of the seller according to the bid-winning conventional power of the seller, determining bid-winning conventional power quotation sorting of the buyer according to the bid-winning conventional power of the buyer, and calculating conventional power price according to the bid-winning conventional power quotation sorting of the seller and the bid-winning conventional power quotation sorting of the buyer.
8. A regional electric energy market transaction organizing device, comprising:
The first calculation module is used for constructing a green electricity clearing model according to the green electricity purchase quotation of each buyer and the green electricity sale quotation of each seller, and calculating the green electricity clearing price according to the green electricity clearing model;
the conversion module is used for converting the label green electricity in the green electricity which is not formed by the buyers and sellers into conventional electricity declarations and respectively determining the latest conventional electricity purchase quotation of each buyer and the latest conventional electricity sales quotation of each seller;
and the second calculation module is used for constructing a conventional power clearing model according to the latest conventional power purchase quotation and the latest conventional power selling quotation, and calculating a conventional power clearing price according to the conventional power clearing model.
9. A storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the regional electric energy market transaction organization method of any one of claims 1 to 7.
10. A computer device comprising a memory, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor implements the regional electric energy market transaction organization method of any of claims 1 to 7 when the program is executed by the processor.
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