CN115358810A - Power transaction interaction method and device for main side chain double-chain interaction and storage medium - Google Patents
Power transaction interaction method and device for main side chain double-chain interaction and storage medium Download PDFInfo
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Abstract
The invention discloses a main side chain double-chain interaction electric power transaction interaction method, a device and a storage medium, wherein the method comprises the following steps: acquiring transaction declaration information of a new energy power plant and a power consumer and uploading the transaction declaration information to a block chain main chain; according to the transaction declaration information, aiming at minimizing the electricity purchasing cost of the power users and maximizing the income of the new energy power plant, calculating the market clear electricity price and clear electricity quantity of each period of time in the day and synchronizing the price and the clear electricity quantity to a side chain; acquiring the required electric quantity of each time interval in a power consumer day, and subtracting the output clear electric quantity of the corresponding time interval in the day ahead to acquire the electric quantity deviation of the corresponding time interval; according to the electric quantity deviation of each time interval and a preset deviation assessment threshold value, buyer users, seller users and quotation strategies participating in deviation transactions at corresponding time intervals in the day are determined; calculating deviation transaction results and synchronizing the deviation transaction results to a main chain according to buyer users, seller users and quotation strategies with the aim of minimizing deviation cost of consumed electric quantity; the invention can improve the efficiency and the safety of transaction.
Description
Technical Field
The invention relates to a main side chain double-chain interaction electric power transaction interaction method, a main side chain double-chain interaction electric power transaction interaction device and a main side chain double-chain interaction storage medium, and belongs to the technical field of electric power markets.
Background
At present, the new forms of energy are in the key period of following supplementary power to the main power conversion, and along with the propulsion of clean heating construction process, the flexible adjustable load that electric heating load conduct has timeshiftability has great potentiality in the aspect of promoting the new forms of energy consumption, fully excavates the regulation potentiality of the electric heating load of participating in the new forms of energy consumption, can promote the electric power trade market development, and the new forms of energy are consumed in coordination in the dimension of the configuration of the more ground energy.
An economical and convenient electric power market mechanism is constructed to promote electric power users such as electric heating to participate in an electric power market, the reduction of the electricity utilization cost of the users through market transaction is the demand of the current electric power users, and the consumption of new energy is an important measure for improving the consumption level of the new energy through the transaction with new energy enterprises. At present, an electric power market is mainly in a centralized transaction mode, the price and the electric quantity of the clear electricity are obtained through the centralized bidding and matching, meanwhile, punishment assessment is often carried out on the deviation of the electric quantity used by a user in the transaction process, and the hidden dangers of complex operation, unsafe information and transaction and the like exist.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a main side chain double-chain interaction electric power transaction interaction method, device and storage medium, establishes a main chain and side chain double-chain transaction framework, develops day-ahead transactions between a new energy power plant and electric power users on the main chain, develops day-to-day deviation transactions between the users on the side chain, and can improve the transaction efficiency and safety.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a method for power transaction with master-side chain double-chain interaction, including:
acquiring transaction declaration information of a new energy power plant and a power consumer and uploading the transaction declaration information to a block chain main chain; the transaction declaration information is market transaction electric quantity and transaction electricity price of each time period in the day;
according to the transaction declaration information, aiming at minimizing the electricity purchasing cost of the power users and maximizing the income of the new energy power plant, calculating the market clear electricity price and clear electricity quantity of each period of time in the day and synchronizing the price and the clear electricity quantity to a side chain;
acquiring the required electric quantity of each time interval in a power consumer day, and subtracting the output clear electric quantity of the corresponding time interval before the day to acquire the electric quantity deviation of the corresponding time interval;
according to the electric quantity deviation of each time interval and a preset deviation assessment threshold value, buyer users and seller users participating in deviation transactions in the corresponding time interval in the day and a quotation strategy are determined;
and calculating deviation transaction results and synchronizing the deviation transaction results to the main chain according to the buyer users, the seller users and the quotation strategy with the aim of minimizing the deviation cost of the consumed electric quantity.
Optionally, the minimizing the electricity purchasing cost of the power consumer and maximizing the revenue of the new energy power plant include:
constructing a power purchasing cost minimization function F of a power consumer 1 And new energy power plant income maximization function F 2 ；
The electricity purchasing cost minimization function F of the power consumer 1 Comprises the following steps:
in the formula, C t The method is characterized in that the method comprises the steps of purchasing electricity price from the power grid side for a power consumer in a time period T, wherein T is the time period number,
purchasing electric power quantity from the power grid side for the electric power user m in the time period t, N EH For number of power consumers, λ m,n,t The electricity price is purchased from the new energy power plant n for the electricity consumer m in the time period t,
purchasing electric quantity g from new energy power plant n for electric power user m in time period t m The loss parameter of the transaction transmission between the power consumer m and the new energy power plant,
and (4) the loss cost generated by purchasing electricity from the new energy power plant for the electricity consumer m in the time period t.
New energy power plant income maximization function F 2 Comprises the following steps:
in the formula, N PC The number of new energy power plants;
for the power generation amount of the new energy power plant n in the time period t,
and a, b and d are constants for the power generation cost of the new energy power plant in the n period t.
Optionally, the electricity purchasing cost minimization function F of the power consumer 1 And new energy power plant income maximization function F 2 The following constraints are satisfied:
in the formula (I), the compound is shown in the specification,
the maximum power generation amount of the new energy power plant n in the time period t is obtained;
purchasing the maximum electric quantity from the power grid side for the electric power user m in the time period t;
purchasing the maximum electric quantity of electricity from the new energy power plant n for the electricity consumer m in the time period t;
in the formula (I), the compound is shown in the specification,
the required electric quantity of the electric power user m in the time period t is obtained.
Optionally, the calculating the current price and the current capacity of the market includes:
function F for minimizing electricity purchasing cost of power users based on Lagrange dual decomposition principle 1 Decomposed into minimizing function F of electricity purchasing cost of each power consumer m ：
New energy power plant income maximization function F based on Lagrange dual decomposition principle 2 Decomposing into a yield maximization function F of each new energy power plant n ：
In the formula eta t Lagrange multipliers for time period t;
power purchase cost minimization function F for simultaneous power consumers based on secondary gradient method m Income maximization function F of new energy power plant n Obtaining a power purchase price model of the power consumer and the new energy power plant:
wherein k is the iteration times of Lagrange multipliers, and alpha is a step length coefficient of gradient descent;
according to power consumers and new energyThe power purchase price model of the source power plant carries out iterative solution until the power purchase price converges, and the final power purchase price lambda is output m，n，t And the electricity purchasing quantity
The power purchase price convergence meets the following requirements:
|λ m，n，t [k+1]-λ m，n，t [k]|≤ε
in the formula, epsilon is a preset convergence parameter;
the final electricity purchasing price lambda m，n，t And the electricity purchasing quantity
As the price and quantity of the outgoing clear electricity in the market at the day-ahead.
Optionally, the determining buyer users and seller users participating in the deviation transaction at the corresponding time period within the day and the quotation strategy includes:
the electric quantity deviation of the electric power consumer m in the time period t is as follows:
Δp m，t ＝p m，pre，t -p m，buy，t
in the formula, p m，pre，t 、p m，pre，t Respectively the demand electric quantity and the output electric quantity before the day of the time period t of the electric power user m;
the preset deviation checking threshold value comprises a positive deviation threshold value delta p p，m，t And a negative deviation threshold Δ p q，m，t ；
If Δ p m，t ＞Δp p，m，t If the electricity consumer m is the buyer user in the time period t, the price quotation policy of the electricity consumer m is as follows:
ρ m，idbuy，t ＝λ m，idb u y，t p a，m，t +μ m，idbuy，t
ρ m，idbuy，t ＜ρ m，pdev，t
in the formula, ρ m，idbuy，t 、p a，m，t 、ρ m，pdev，t Purchasing electricity price for electricity consumers m in the day of the time period t and purchasing electricity quantity in the dayThe penalty cost of deviation; mu.s m，idbuy，t Is a constant;
if Δ p m，t ＜Δp q，m，t Then, the electricity consumer m is the seller user in the time period t, and the price quotation policy of the electricity consumer m is as follows:
ρ m，idsell，t ＝λ m，idsell，t p b，m，t +μ m，idsell，t
ρ m，idsell，t ＜ρ m，qdev，t
in the formula, ρ m,idsell,t 、p b,m,t 、ρ m,qdev,t Selling electricity in a day, quoting electricity in a day, selling electricity in a day, and punishing a fee for the electric power user m in a time period t; mu.s m,idsell,t Is a constant.
Optionally, the calculating the deviation transaction result includes:
based on the VCG auction rule, sequentially ordering the electricity selling offers of the seller users from low to high in the day of the time period t to generate a clearing queue;
and performing bid clearing according to the clearing queue until the demands are met:
wherein I and J are the numbers of buyer users and seller users, p a,i,t For the buyer i to purchase electricity during the day of time t b,j,t 、
Selling electricity quantity and maximum electricity selling electricity quantity for a seller user j in the day of the time period t;
and acquiring the winning bid income of the seller users who successfully bid and settle, and calculating the final transaction price:
in the formula, V j,t For seller user j, the winning bid amount, omega, during time period t t A transaction price for time period t;
constructing an objective function with a minimum cost for the buyer user and the seller user to consume the demand deviation electricity quantity:
calculating and obtaining the electricity purchasing quantity p of the buyer user i in the day of the time period t based on the minimization construction objective function a,i,t Selling electricity quantity p of seller users j in time period t b,j,t And a transaction price ω at time period t t 。
In a second aspect, the present invention provides an electric power transaction interaction device for main-side chain double-chain interaction, including:
the reporting module is used for acquiring transaction reporting information of the new energy power plant and the power consumer and uploading the transaction reporting information to the block chain main chain; the transaction declaration information is the market transaction electric quantity and the transaction electricity price of each time period in the day
The clearing module is used for calculating the market clearing price and the clearing quantity of electricity in each period of time in the day and synchronizing the price and the clearing quantity to a side chain according to the transaction declaration information by taking the minimization of the electricity purchasing cost of the power users and the maximization of the income of the new energy power plant as targets;
the deviation module is used for acquiring the required electric quantity of each time interval in the day of the power consumer and subtracting the output clear electric quantity of the corresponding time interval in the day ahead to acquire the electric quantity deviation of the corresponding time interval;
the evaluation module is used for acquiring buyer users, seller users and quotation strategies participating in deviation transactions at corresponding time intervals in the day according to the electric quantity deviation of each time interval and a preset deviation evaluation threshold;
and the transaction module is used for calculating a deviation transaction result and synchronizing the deviation transaction result to the main chain according to the buyer user, the seller user and the quotation strategy with the aim of minimizing the deviation cost of the electric quantity.
Optionally, the objective of minimizing the electricity purchasing cost of the power consumer and maximizing the income of the new energy power plant includes:
constructing a power purchasing cost minimization function F of a power consumer 1 And new energy power plant income maximization function F 2 ；
The electricity purchasing cost minimization function F of the power consumer 1 Comprises the following steps:
in the formula, C t The method is characterized in that the method comprises the steps of purchasing electricity price from the power grid side for a power consumer in a time period T, wherein T is the time period number,
purchasing electric power quantity from the power grid side for the electric power user m in the time period t, N EH For number of power consumers, λ m,n,t The electricity price is purchased from the new energy power plant n for the electricity consumer m in the time period t,
purchasing electric quantity g from new energy power plant n for electric power user m in time period t m The loss parameter of the transaction transmission between the power consumer m and the new energy power plant,
and (4) the loss cost generated by purchasing electricity from the new energy power plant for the electricity consumer m in the time period t.
The new energy power plant income maximization function F 2 Comprises the following steps:
in the formula, N PC The number of new energy power plants;
for the power generation amount of the new energy power plant n in the time period t,
and a, b and d are constants for the power generation cost of the new energy power plant in the period n and t.
Optionally, the power purchasing cost minimization function F of the power consumer 1 And new energy power plant income maximization function F 2 The following constraints are satisfied:
in the formula (I), the compound is shown in the specification,
the maximum power generation amount of the new energy power plant n in the time period t is obtained;
purchasing the maximum electric quantity of electricity from the power grid side for the electricity consumer m in a time period t;
purchasing the maximum electric quantity of electricity from the new energy power plant n for the electricity consumer m in the time period t;
in the formula (I), the compound is shown in the specification,
the required electric quantity of the electric power user m in the time period t is obtained.
Optionally, the calculating the current price and the current capacity of the market includes:
function F for minimizing electricity purchasing cost of power user based on Lagrange dual decomposition principle 1 Decomposed into minimizing function F of electricity purchasing cost of each power consumer m ：
New energy power plant income maximization function F based on Lagrange dual decomposition principle 2 Decomposing into a yield maximization function F of each new energy power plant n ：
In the formula eta t Lagrange multipliers for time period t;
power purchase cost minimization function F for simultaneous power consumers based on secondary gradient method m Income maximization function F of new energy power plant n Obtaining a power purchase price model of the power consumer and the new energy power plant:
in the formula, k is the iteration number of a Lagrange multiplier, and alpha is a step length coefficient of gradient descent;
performing iterative solution according to the electricity purchasing price models of the power consumers and the new energy power plant until the electricity purchasing price converges, and outputting the final electricity purchasing price lambda m，n，t And the electricity purchasing quantity
The convergence of the electricity purchase price satisfies the following conditions:
|λ m，n，t [k+1]-λ m，n，t [k]|≤ε
in the formula, epsilon is a preset convergence parameter;
the final electricity purchasing price lambda m，n，t And the electricity purchasing quantity
As the price and quantity of the outgoing clear electricity in the market at the day-ahead.
Optionally, the determining buyer users and seller users participating in the deviation transaction at the corresponding time period within the day and the quotation strategy includes:
the electric quantity deviation of the electric power consumer m in the time period t is as follows:
Δp m，t ＝p m，pre，t -p m，buy，t
in the formula, p m，pre，t 、p m，pre，t Respectively the demand electric quantity and the output electric quantity before the day of the time period t of the electric power user m;
the preset deviation checking threshold comprises a positive deviation threshold delta p p，m，t And a negative deviation threshold Δ p q，m，t ；
If Δ p m，t ＞Δp p，m，t Then, the electricity consumer m is the buyer user in the time period t, and the price quotation policy of the electricity consumer m is as follows:
ρ m，idbuy，t ＝λ m，idbuy，t p a，m，t +μ m，idbuy，t
ρ m，idbuy，t ＜ρ m，pdev，t
in the formula, ρ m，idbuy，t 、p a，m，t 、ρ m，pdev，t Electricity purchasing price, electricity purchasing quantity in the day and deviation punishment cost for the electricity user m in the day of the time period t; mu.s m，idbuy，t Is a constant;
if Δ p m，t ＜Δp q，m，t Then, the electricity consumer m is the seller user in the time period t, and the price quotation policy of the electricity consumer m is as follows:
ρ m，idsell，t ＝λ m，idsell，t p b，m，t +μ m，idsell，t
ρ m，idsell，t ＜ρ m，qdev，t
in the formula, ρ m,idsell,t 、p b,m,t 、ρ m,qdev,t Selling electricity in a day, quoting electricity in a day, selling electricity in a day, and punishing a fee for the electric power user m in a time period t; mu.s m,idsell,t Is a constant.
Optionally, the calculating the deviation transaction result includes:
based on VCG auction rules, sequentially ordering the electricity selling quotes from low to high in the day of the time period t by the seller user to generate a clearing queue;
and performing bid clearing according to the clearing queue until the demands are met:
wherein I and J are the numbers of buyer users and seller users, p a,i,t For the buyer i to purchase electricity during the day of time t b,j,t 、
Selling electricity quantity and maximum electricity selling electricity quantity for a seller user j within a day of a time period t;
and acquiring the winning bid income of the seller users who successfully bid and settle, and calculating the final transaction price:
in the formula, V j,t For seller user j to win in time period t, ω t A transaction price for time period t;
constructing an objective function with the minimization of the cost of the buyer user and the seller user for the consumption of the demand deviation electricity quantity:
calculating and obtaining the electricity purchasing quantity p of the buyer user i in the day of the time period t based on the minimization construction objective function a,i,t Selling electricity quantity p of seller users j in time period t b,j,t And a transaction price omega at a time period t t 。
In a third aspect, the invention provides an electric power transaction interaction device for main side chain double-chain interaction, which comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps according to the above-described method.
In a fourth aspect, the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described method.
Compared with the prior art, the invention has the following beneficial effects:
according to the main-side chain double-chain interaction electric power transaction interaction method, device and storage medium, the day-ahead transaction of a new energy power plant and an electric power user is carried out on the main chain, the electric power user electricity purchasing cost is minimized and the new energy power plant income is maximized, the electric power user electricity purchasing cost is reduced, and the new energy power plant income is improved; the intra-day deviation transaction among the power users is developed on the side chain, the power users can purchase or sell electricity according to the daily electricity utilization condition, and deviation assessment caused by adjustment of the electricity utilization plan is avoided; the data interaction problem is solved through the main chain and the side chain synchronously, so that the situation that the same chain bears different services is avoided, the processing efficiency is reduced, and the transaction efficiency is improved; meanwhile, the transaction safety can be improved based on the block chain interaction.
Drawings
Fig. 1 is a flowchart of an electric power transaction method for master-side chain double-chain interaction according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a prior transaction scenario of a master-side double-chain interaction according to an embodiment of the present invention;
fig. 3 is a schematic diagram of bid winning power in deviation trading of electric heating users according to an embodiment of the present invention;
fig. 4 is a schematic diagram of the prices of the day-ahead transaction and the day-in transaction provided by the embodiment of the invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The first embodiment is as follows:
as shown in fig. 1, an embodiment of the present invention provides a method for exchanging power by master-side chain double-chain interaction, including the following steps:
1. acquiring transaction declaration information of a new energy power plant and a power consumer and uploading the transaction declaration information to a block chain main chain; the transaction declaration information is the market transaction electric quantity and the transaction electricity price of each time period in the day.
The time period is usually set to 15min, and one day is divided into 96 time periods.
The privacy data in the transaction declaration information can be encrypted by adopting a symmetric cryptographic algorithm, the hash value of the encrypted privacy data is calculated, and the encrypted transaction declaration information is packaged and uploaded to the block chain main chain.
2. According to the transaction declaration information, aiming at minimizing the electricity purchasing cost of the power users and maximizing the income of the new energy power plant, calculating the market clear electricity price and clear electricity quantity of each period of time in the day and synchronizing the price and the clear electricity quantity to a side chain;
2.1, constructing a power purchasing cost minimization function F of the power consumer 1 And new energy power plant income maximization function F 2 ；
Minimizing function F for electricity purchasing cost of power consumer 1 Comprises the following steps:
in the formula, C t The method is characterized in that the method comprises the steps of purchasing electricity price from the power grid side for a power consumer in a time period T, wherein T is the time period number,
purchasing electric quantity from the power grid side for the electric power user m in the time period t, N EH For the number of power consumers, λ m,n,t The electricity price is purchased from the new energy power plant n for the electricity consumer m in the time period t,
purchasing electric quantity g from new energy power plant n for electric power user m in time period t m The loss parameter of the transaction transmission between the power consumer m and the new energy power plant,
and (4) the loss cost generated by purchasing electricity from the new energy power plant for the electricity consumer m in the time period t.
2.2 New energy Power plant income maximization function F 2 Comprises the following steps:
in the formula, N PC The number of new energy power plants;
for the power generation amount of the new energy power plant n in the time period t,
and a, b and d are constants for the power generation cost of the new energy power plant in the n period t.
2.3 minimizing function F of electricity purchasing cost of power consumer 1 And new energy power plant income maximization function F 2 The following constraints are satisfied:
in the formula (I), the compound is shown in the specification,
the maximum power generation amount of the new energy power plant n in the time period t is obtained;
purchasing the maximum electric quantity from the power grid side for the electric power user m in the time period t;
purchasing the maximum electric quantity of electricity from the new energy power plant n for the electricity user m in the time t;
in the formula (I), the compound is shown in the specification,
the required electric quantity of the electric power user m in the time period t.
2.4, calculating the current price and the current capacity of the market in the day-ahead comprises the following steps:
2.4.1 minimizing function F of power purchasing cost of power users based on Lagrange dual decomposition principle 1 Decomposed into minimizing function F of electricity purchasing cost of each power consumer m ：
2.4.2 maximizing function F of new energy power plant based on Lagrange dual decomposition principle 2 Is decomposed intoIncome maximization function F of each new energy power plant n ：
In the formula eta t A lagrange multiplier for time period t;
2.4.3 minimizing function F for simultaneous power consumer electricity purchasing cost based on secondary gradient method m Income maximization function F of new energy power plant n Obtaining a power purchase price model of the power consumer and the new energy power plant:
in the formula, k is the iteration number of a Lagrange multiplier, and alpha is a step length coefficient of gradient descent;
2.4.4, performing iterative solution according to the electricity purchasing price models of the power users and the new energy power plant until the electricity purchasing price converges, and outputting the final electricity purchasing price lambda m,n,t And the electricity purchasing quantity
The power purchase price convergence meets the following requirements:
|λ m，n，t [k+1]-λ m，n，t [k]|≤ε
in the formula, epsilon is a preset convergence parameter;
2.4.5, the final electricity price lambda of purchasing electricity m,n,t And the electricity purchasing quantity
As the price and quantity of the outgoing clear electricity in the market at the day-ahead.
3. And acquiring the required electric quantity of each time interval in the day of the power consumer, and subtracting the output clear electric quantity of the corresponding time interval in the day ahead to acquire the electric quantity deviation of the corresponding time interval.
4. According to the electric quantity deviation of each time interval and a preset deviation assessment threshold value, buyer users, seller users and quotation strategies participating in deviation transactions at corresponding time intervals in the day are determined; the method specifically comprises the following steps:
4.1, the electric quantity deviation of the electric power user m in the time period t is as follows:
Δp m，t ＝p m，pre，t -p m，buy，t
in the formula, p m，pre，t 、p m，pre，t Respectively the demand electric quantity and the output electric quantity before the day of the time period t of the electric power user m;
4.2, the preset deviation checking threshold comprises a positive deviation threshold delta p p，m，t And a negative deviation threshold Δ p q，m，t ；
4.3, if Δ p m，t ＞Δp p，m，t If the electricity consumer m is the buyer user in the time period t, the price quotation policy of the electricity consumer m is as follows:
ρ m，idbuy，t ＝λ m，idbuy，t p a，m，t +μ m，idbuy，t
ρ m，idbuy，t ＜ρ m，pdev，t
in the formula, ρ m，idbuy，t 、p a，m，t 、ρ m，pdev，t Electricity purchasing price, electricity purchasing quantity in the day and deviation punishment cost for the electricity user m in the day of the time period t; mu.s m，idbuy，t Is a constant;
4.4, if Δ p m，t ＜Δp q，m，t Then, the electricity consumer m is the seller user in the time period t, and the price quotation policy of the electricity consumer m is as follows:
ρ m，idsell，t ＝λ m，idsell，t p b，m，t +μ m，idsell，t
ρ m，idsell，t ＜ρ m，qdev，t
in the formula, ρ m，idsell，t 、p b，m，t 、ρ m，qdev，t Electricity selling quotations, electricity selling quantity in days and deviation punishment cost for the electricity consumers m in the time period t; mu.s m，idsell，t Is a constant.
5. And calculating deviation transaction results and synchronizing the deviation transaction results to the main chain according to the buyer users, the seller users and the quotation strategy with the aim of minimizing the deviation cost of the consumed electric quantity.
The process of calculating the biased transaction result includes:
5.1, sequentially ordering according to the electricity selling quotations of the seller users in the day of the time period t from low to high based on the VCG auction rule to generate a clearing queue;
5.2, performing bidding clearing according to the clearing queue until the following conditions are met:
wherein I and J are the numbers of buyer users and seller users, p a,i,t For the buyer i to purchase electricity during the day of time t b,j,t 、
Selling electricity quantity and maximum electricity selling electricity quantity for a seller user j in the day of the time period t;
and 5.3, acquiring the winning revenue of the seller users who successfully bid and settle, and calculating the final transaction price:
in the formula, V j,t For seller user j, the winning bid amount, omega, during time period t t A transaction price for time period t;
5.4, constructing an objective function with the minimum cost of the buyer users and the seller users for consuming the demand deviation electric quantity:
5.5, calculating and obtaining the electricity purchasing quantity p of the buyer user i in the day of the time period t based on the minimization construction objective function a,i,t Selling electricity quantity p of seller users j in time period t b,j,t And a transaction price ω at time period t t 。
In order to verify the method, a system is constructed, which comprises 2 wind power stations, 3 photovoltaic stations, 2 energy storage users, 3 gas turbine users, 2 electric heating users and 5 conventional load users. All resources participate in day-ahead transactions through a main chain, and electric heating users and normal load users participate in day deviation transactions through side chains.
And setting two scenes of S1 and S2 for comparative analysis, wherein S1 is to carry out deviation transaction among users at a side chain, and S2 is not to carry out the deviation transaction of the side chain users.
The trading results for both scenarios are shown in the table below.
TABLE 1 different scenarios of transaction results
| Scene | Transaction costs (Yuan) | Consumption rate of New energy (%) |
| S1 | 3859967.90 | 100.00 |
| S2 | 4029300.83 | 93.47 |
Therefore, by carrying out deviation transaction on the side chain, the influence caused by electric quantity prediction deviation is effectively reduced, the electric quantity which is handed over with new energy in the future is executed in the day, the consumption of the new energy is promoted, deviation assessment is avoided, and the transaction cost is reduced.
The day-ahead trading of various types of resources is shown in FIG. 2 below. WT denotes wind power, PV denotes photovoltaic, ES denotes stored energy, QGE denotes gas turbine, and DL denotes electric heating.
The daily transaction situation of the electric heating user is as shown in fig. 3. Positive values indicate purchased electric power and negative values indicate sold electric power. Due to the adjustable characteristic of the electric heating, the power can be flexibly adjusted, the purchasing and selling behaviors are changed, and the electric heating system is beneficial to helping a conventional load user avoid transaction deviation caused by load fluctuation.
The transaction prices before and during the day are shown in fig. 4 below. Price changes for transactions within a day float more than day ahead. Compared with the price of the daily transaction, the price of the daily transaction is higher or lower, the attribute of the electric power as a commodity is more obvious in a shorter transaction period, the trend of the price is determined by supply and demand, and the time period that the daily price is higher than the daily price is basically consistent with the electricity selling time period of an electric heating user according to the daily transaction situation by combining ultra-short-term load prediction, namely the electricity consumption of the conventional load user is increased, the demand is increased, and the electricity price is raised in the time period.
Example two:
the embodiment of the invention provides an electric power transaction interaction device with main side chain double-chain interaction, which comprises:
the reporting module is used for acquiring transaction reporting information of the new energy power plant and the power consumer and uploading the transaction reporting information to the block chain main chain; the transaction declaration information is the market transaction electricity quantity and the transaction electricity price of each day-ahead time period
The clearing module is used for calculating the market clearing price and the clearing quantity of electricity in each period of time in the day and synchronizing the price and the clearing quantity to a side chain according to the transaction declaration information by taking the minimization of the electricity purchasing cost of the power users and the maximization of the income of the new energy power plant as targets;
the deviation module is used for acquiring the required electric quantity of each time interval in the day of the power consumer and subtracting the output clear electric quantity of the corresponding time interval before the day to acquire the electric quantity deviation of the corresponding time interval;
the evaluation module is used for acquiring buyer users, seller users and quotation strategies participating in deviation transactions at corresponding time intervals in the day according to the electric quantity deviation of each time interval and a preset deviation evaluation threshold;
and the transaction module is used for calculating a deviation transaction result and synchronizing the deviation transaction result to the main chain according to the buyer user, the seller user and the quotation strategy with the aim of minimizing the deviation cost of the electric quantity.
Specifically, the goals of minimizing the electricity purchasing cost of power consumers and maximizing the income of a new energy power plant comprise:
constructing a power purchasing cost minimization function F of a power consumer 1 And new energy power plant income maximization function F 2 ；
Minimizing function F for electricity purchasing cost of power consumer 1 Comprises the following steps:
in the formula, C t The method is characterized in that the method comprises the steps of purchasing electricity price from the power grid side for a power consumer in a time period T, wherein the time period T is the number of time periods,
purchasing electric quantity from the power grid side for the electric power user m in the time period t, N EH For number of power consumers, λ m,n,t The electricity price is purchased from the new energy power plant n for the electricity consumer m in the time period t,
purchasing electric quantity g from new energy power plant n for electric power user m in time period t m The loss parameter of the transaction transmission between the power consumer m and the new energy power plant,
and (4) the loss cost generated by purchasing electricity from the new energy power plant for the electricity consumer m in the time period t.
New energy power plant income maximization function F 2 Comprises the following steps:
in the formula, N PC The number of new energy power plants;
for the power generation amount of the new energy power plant n in the time period t,
and a, b and d are constants for the power generation cost of the new energy power plant in the period n and t.
Specifically, the electricity purchasing cost minimization function F of the power consumer 1 And new energy power plant income maximization function F 2 The following constraints are satisfied:
in the formula (I), the compound is shown in the specification,
the maximum power generation amount of the new energy power plant n in the time period t is obtained;
purchasing the maximum electric quantity of electricity from the power grid side for the electricity consumer m in a time period t;
purchasing the maximum electric quantity of electricity from the new energy power plant n for the electricity consumer m in the time period t;
in the formula (I), the compound is shown in the specification,
the required electric quantity of the electric power user m in the time period t is obtained.
Specifically, calculating the current price and current capacity of the market in the future includes:
function F for minimizing electricity purchasing cost of power user based on Lagrange dual decomposition principle 1 Decomposed into minimizing function F of electricity purchasing cost of each power consumer m ：
New energy power plant income maximization function F based on Lagrange dual decomposition principle 2 Decomposing into income maximization function F of each new energy power plant n ：
In the formula eta t Lagrange multipliers for time period t;
power purchase cost minimization function F for simultaneous power consumers based on secondary gradient method m Income maximization function F of new energy power plant n Obtaining a power purchase price model of the power consumer and the new energy power plant:
in the formula, k is the iteration number of a Lagrange multiplier, and alpha is a step length coefficient of gradient descent;
iterative solution is carried out according to the electricity purchasing price model of the power consumer and the new energy power plantOutputting the final electricity purchasing price lambda until the electricity purchasing price converges m,n,t And the electricity purchasing quantity
The power purchase price convergence meets the following requirements:
|λ m，n，t [k+1]-λ m，n，t [k]|≤ε
in the formula, epsilon is a preset convergence parameter;
the final electricity purchasing price lambda m，n，t And the electricity purchasing quantity
As the daily market discharge price and discharge capacity.
Specifically, determining buyer users and seller users and quotation strategies for participating in the deviation transaction at corresponding time intervals in the day includes:
the electric quantity deviation of the electric power consumer m in the time period t is as follows:
Δp m，t ＝p m，pre，t -p m，buy，t
in the formula, p m，pre，t 、p m，pre，t Respectively the demand electric quantity and the output electric quantity before the day of the time period t of the electric power user m;
the preset deviation checking threshold value comprises a positive deviation threshold value delta p p，m，t And a negative deviation threshold Δ p q，m，t ；
If Δ p m，t ＞Δp p，m，t If the electricity consumer m is the buyer user in the time period t, the price quotation policy of the electricity consumer m is as follows:
ρ m，idbuy，t ＝λ m，idbuy，t p a，m，t +μ m，idbuy，t
ρ m，idbuy，t ＜ρ m，pdev，t
in the formula, ρ m，idbuy，t 、p a，m，t 、ρ m，pdev，t Purchasing electricity price, purchasing electricity quantity and deviation punishment cost for the electricity users m in the days of the time period t; mu.s m，idbuy，t Is a constant;
if Δ p m，t ＜Δp q，m，t Then, the electricity consumer m is the seller user in the time period t, and the price quotation policy of the electricity consumer m is as follows:
ρ m，idsell，t ＝λ m，idsell，t p b，m，t +μ m，idsell，t
ρ m，idsell，t ＜ρ m，qdev，t
in the formula, ρ m，idsell，t 、p b，m，t 、ρ m，qdev，t Electricity selling quotations, electricity selling quantity in days and deviation punishment cost for the electricity consumers m in the time period t; mu.s m，idsell，t Is a constant.
Specifically, calculating the deviation transaction result includes:
based on the VCG auction rule, sequentially ordering the electricity selling offers of the seller users from low to high in the day of the time period t to generate a clearing queue;
and bidding and clearing are carried out according to the clearing queue until the conditions are met:
wherein I and J are the numbers of buyer users and seller users, p a,i,t For the buyer i to purchase electricity during the day of time t b,j,t 、
Selling electricity quantity and maximum electricity selling electricity quantity for a seller user j in the day of the time period t;
and acquiring the winning bid income of the seller users who successfully bid and settle, and calculating the final transaction price:
in the formula, V j,t For seller user j, the winning bid amount, omega, during time period t t A transaction price for time period t;
constructing an objective function with a minimum cost for the buyer user and the seller user to consume the demand deviation electricity quantity:
calculating and obtaining the electricity purchasing quantity p of the buyer user i in the day of the time period t based on the minimization construction objective function a,i,t Selling electricity quantity p of seller users j in day of time period t b,j,t And a transaction price ω at time period t t 。
Example three:
based on the first embodiment, the embodiment of the invention provides a main side chain double-chain interaction electric power transaction interaction device, which comprises a processor and a storage medium, wherein the processor is used for processing the main side chain double-chain interaction electric power transaction;
a storage medium to store instructions;
the processor is configured to operate in accordance with instructions to perform steps in accordance with the above-described method.
Example four:
according to a first embodiment, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, it is possible to make various improvements and modifications without departing from the technical principle of the present invention, and those improvements and modifications should be considered as the protection scope of the present invention.
Claims (14)
1. A main side chain double-chain interaction electric power transaction method is characterized by comprising the following steps:
acquiring transaction declaration information of a new energy power plant and a power consumer and uploading the transaction declaration information to a block chain main chain; the transaction declaration information is market transaction electric quantity and transaction electricity price of each time period in the day;
according to the transaction declaration information, aiming at minimizing the electricity purchasing cost of a power user and maximizing the income of a new energy power plant, calculating the market clearing price and the clearing quantity of electricity at each period of time in the day and synchronizing the price and the clearing quantity to a side chain;
acquiring the required electric quantity of each time interval in a power consumer day, and subtracting the output clear electric quantity of the corresponding time interval before the day to acquire the electric quantity deviation of the corresponding time interval;
according to the electric quantity deviation of each time interval and a preset deviation assessment threshold value, buyer users, seller users and quotation strategies participating in deviation transactions at corresponding time intervals in the day are determined;
and calculating deviation transaction results and synchronizing the deviation transaction results to the main chain according to the buyer users, the seller users and the quotation strategy with the aim of minimizing the deviation cost of the consumed electric quantity.
2. The main-side chain double-chain interaction power transaction interaction method according to claim 1, wherein the aiming at minimizing the electricity purchasing cost of power consumers and maximizing the income of new energy plants comprises:
constructing a power purchasing cost minimization function F of a power consumer 1 And new energy power plant income maximization function F 2 ；
The electricity purchasing cost minimization function F of the power consumer 1 Comprises the following steps:
in the formula, C t The method is characterized in that the method comprises the steps of purchasing electricity price from the power grid side for a power consumer in a time period T, wherein T is the time period number,
purchasing electric quantity from the power grid side for the electric power user m in the time period t, N EH For the number of power consumers, λ m,n,t The electricity price is purchased from the new energy power plant n for the electricity consumer m in the time period t,
purchasing electric quantity g from new energy power plant n for electric power user m in time period t m The loss parameter of the transaction transmission between the power consumer m and the new energy power plant,
and (4) the loss cost generated by purchasing electricity from the new energy power plant for the electricity consumer m in the time period t.
New energy power plant income maximization function F 2 Comprises the following steps:
in the formula, N PC The number of new energy power plants;
for the power generation amount of the new energy power plant n in the time period t,
and a, b and d are constants for the power generation cost of the new energy power plant in the n period t.
3. The power transaction interaction method based on master-side chain double-chain interaction as claimed in claim 2, wherein the power consumer purchase cost minimization function F is 1 And new energy power plant income maximization function F 2 The following constraints are satisfied:
in the formula (I), the compound is shown in the specification,
the maximum power generation amount of the new energy power plant n in the time period t is obtained;
purchasing the maximum electric quantity of electricity from the power grid side for the electricity consumer m in a time period t;
purchasing the maximum electric quantity of electricity from the new energy power plant n for the electricity consumer m in the time period t;
in the formula (I), the compound is shown in the specification,
the required electric quantity of the electric power user m in the time period t is obtained.
4. The method of claim 2, wherein the calculating of the day-ahead market out-of-the-day electricity price and the out-of-the-day electricity quantity comprises:
function F for minimizing electricity purchasing cost of power user based on Lagrange dual decomposition principle 1 Decomposed into minimizing function F of electricity purchasing cost of each power consumer m ：
New energy power plant income maximization function F based on Lagrange dual decomposition principle 2 Decomposing into a yield maximization function F of each new energy power plant n ：
In the formula eta t Lagrange multipliers for time period t;
minimizing function F for simultaneous power consumer electricity purchasing cost based on secondary gradient method m Income maximization function F of new energy power plant n Obtaining a power purchase price model of the power consumer and the new energy power plant:
wherein k is the iteration times of Lagrange multipliers, and alpha is a step length coefficient of gradient descent;
performing iterative solution according to the electricity purchasing price models of the power consumers and the new energy power plant until the electricity purchasing price converges, and outputting the final electricity purchasing price lambda m,n,t And the electricity purchasing quantity
The power purchase price convergence meets the following requirements:
|λ m,n,t [k+1]-λ m,n,t [k]|≤ε
in the formula, epsilon is a preset convergence parameter;
the final electricity purchasing price lambda m,n,t And the electricity purchasing quantity
As the price and quantity of the outgoing clear electricity in the market at the day-ahead.
5. The method of claim 1, wherein the determining buyer users and seller users and quotation strategies for participating in the biased transaction at corresponding time intervals within a day comprises:
the electric quantity deviation of the electric power consumer m in the time period t is as follows:
Δp m,t ＝p m,pre,t -p m,buy,t
in the formula, p m,pre,t 、p m,pre,t Respectively the electricity demand and the current clear electricity of the power consumer m in the day of the time period t;
the preset deviation checking threshold value comprises a positive deviation threshold value delta p p,m,t And a negative deviation threshold Δ p q,m,t ；
If Δ p m,t >Δp p,m,t Then, the electricity consumer m is the buyer user in the time period t, and the price quotation policy of the electricity consumer m is as follows:
ρ m,idbuy,t ＝λ m,idbuy,t p a,m,t +μ m,idbuy,t
ρ m,idbuy,t <ρ m,pdev,t
in the formula, ρ m,idbuy,t 、p a,m,t 、ρ m,pdev,t Electricity purchasing price, electricity purchasing quantity in the day and deviation punishment cost for the electricity user m in the day of the time period t; mu.s m,idbuy,t Is a constant;
if Δ p m,t <Δp q,m,t Then, the electricity consumer m is the seller user in the time period t, and the offer policy of the electricity consumer m is:
ρ m,idsell,t ＝λ m,idsell,t p b,m,t +μ m,idsell,t
ρ m,idsell,t <ρ m,qdev,t
in the formula, ρ m,idsell,t 、p b,m,t 、ρ m,qdev,t Electricity selling quotations, electricity selling quantity in days and deviation punishment cost for the electricity consumers m in the time period t; mu.s m,idsell,t Is a constant.
6. The method of claim 5, wherein the calculating the deviation transaction result comprises:
based on VCG auction rules, sequentially ordering the electricity selling quotes from low to high in the day of the time period t by the seller user to generate a clearing queue;
and bidding and clearing are carried out according to the clearing queue until the conditions are met:
wherein I and J are the numbers of buyer users and seller users, p a,i,t For the buyer i to purchase electricity during the day of time t b,j,t 、
Selling electricity quantity and maximum electricity selling electricity quantity for a seller user j in the day of the time period t;
and acquiring the winning bid income of the seller users who successfully bid and settle, and calculating the final transaction price:
in the formula, V j,t For seller user j, the winning bid amount, omega, during time period t t A transaction price for time period t;
constructing an objective function with the minimization of the cost of the buyer user and the seller user for the consumption of the demand deviation electricity quantity:
calculating and obtaining the electricity purchasing quantity p of the buyer user i in the day of the time period t based on the minimization construction objective function a,i,t Selling electricity quantity p of seller users j in time period t b,j,t And a transaction price omega at a time period t t 。
7. A master-side chain double-chain interaction power transaction interaction device, comprising:
the reporting module is used for acquiring transaction reporting information of the new energy power plant and the power consumer and uploading the transaction reporting information to the block chain main chain; the transaction declaration information is market transaction electric quantity and transaction electricity price of each time period in the day
The clearing module is used for calculating the market clearing price and the clearing quantity of electricity in each period of time in the day and synchronizing the price and the clearing quantity to a side chain according to the transaction declaration information by taking the minimization of the electricity purchasing cost of the power users and the maximization of the income of the new energy power plant as targets;
the deviation module is used for acquiring the required electric quantity of each time interval in the day of the power consumer and subtracting the output clear electric quantity of the corresponding time interval before the day to acquire the electric quantity deviation of the corresponding time interval;
the evaluation module is used for acquiring buyer users, seller users and quotation strategies participating in deviation transactions at corresponding time intervals in the day according to the electric quantity deviation of each time interval and a preset deviation evaluation threshold;
and the transaction module is used for calculating a deviation transaction result and synchronizing the deviation transaction result to the main chain according to the buyer user, the seller user and the quotation strategy with the aim of minimizing the deviation cost of the electric quantity.
8. The main-side chain double-chain interaction power transaction interaction device of claim 7, wherein the goals of minimizing the electricity purchasing cost of power users and maximizing the income of new energy power plants comprise:
constructing a power purchasing cost minimization function F of a power consumer 1 And new energy power plant income maximization function F 2 ；
The power purchasing cost minimization function F of the power consumer 1 Comprises the following steps:
in the formula, C t The method is characterized in that the method comprises the steps of purchasing electricity price from the power grid side for a power consumer in a time period T, wherein T is the time period number,
purchasing electric power quantity from the power grid side for the electric power user m in the time period t, N EH For number of power consumers, λ m,n,t The electricity price is purchased from the new energy power plant n for the electricity consumer m in the time period t,
purchasing electric quantity g from new energy power plant n for electric power user m in time period t m The loss parameter of the transaction transmission between the power consumer m and the new energy power plant,
and (4) the loss cost generated by purchasing electricity from the new energy power plant for the electric power user m in the time t.
New energy power plant income maximization function F 2 Comprises the following steps:
in the formula, N PC The number of new energy power plants;
for the power generation amount of the new energy power plant n in the time period t,
and a, b and d are constants for the power generation cost of the new energy power plant in the period n and t.
9. The apparatus according to claim 8, wherein the power consumer purchase cost minimization function F is a function of minimizing the purchase cost of the power consumer 1 And new energy power plant income maximization function F 2 The following constraints are satisfied:
in the formula (I), the compound is shown in the specification,
the maximum power generation amount of the new energy power plant n in the time period t is obtained;
purchasing the maximum electric quantity from the power grid side for the electric power user m in the time period t;
purchasing the maximum electric quantity of electricity from the new energy power plant n for the electricity consumer m in the time period t;
in the formula (I), the compound is shown in the specification,
the required electric quantity of the electric power user m in the time period t is obtained.
10. The method of claim 8, wherein the calculating the current market price and the current market price for power trading interaction comprises:
function F for minimizing electricity purchasing cost of power user based on Lagrange dual decomposition principle 1 Decomposed into minimizing function F of electricity purchasing cost of each power consumer m ：
New energy power plant income maximization function F based on Lagrange dual decomposition principle 2 Decomposing into a yield maximization function F of each new energy power plant n ：
In the formula, theta t Lagrange multipliers for time period t;
minimizing function F for simultaneous power consumer electricity purchasing cost based on secondary gradient method m Income maximization function F of new energy power plant n Obtaining a power purchase price model of the power consumer and the new energy power plant:
in the formula, k is the iteration number of a Lagrange multiplier, and alpha is a step length coefficient of gradient descent;
performing iterative solution according to the electricity purchasing price models of the power consumers and the new energy power plant until the electricity purchasing price converges, and outputting the final electricity purchasing price lambda m,n,t And the electricity purchasing quantity
The power purchase price convergence meets the following requirements:
|λ m,n,t [k+1]-λ m,n,t [k]|≤ε
in the formula, epsilon is a preset convergence parameter;
the final electricity price lambda of the purchase electricity m,n,t And the electricity purchasing quantity
As the daily market discharge price and discharge capacity.
11. The apparatus of claim 7, wherein the determination of buyer users and seller users and quotation strategies for participating in the deviation transaction at the corresponding time within the day comprises:
the electric quantity deviation of the electric power consumer m in the time period t is as follows:
Δp m,t ＝p m,pre,t -p m,buy,t
in the formula, p m,pre,t 、p m,pre,t Respectively the demand electric quantity and the output electric quantity before the day of the time period t of the electric power user m;
the preset deviation checking threshold value comprises a positive deviation threshold value delta p p,m,t And a negative deviation threshold Δ p q,m,t ；
If Δ p m,t >Δp p,m,t Then, the electricity consumer m is the buyer user in the time period t, and the price quotation policy of the electricity consumer m is as follows:
ρ m,idbuy,t ＝λ m,idbuy,t p a,m,t +μ m,idbuy,t
ρ m,idbuy,t <ρ m,pdev,t
in the formula, ρ m,idbuy,t 、p a,m,t 、ρ m,pdev,t Purchasing electricity price, purchasing electricity quantity and deviation punishment cost for the electricity users m in the days of the time period t; mu.s m,idbuy,t Is a constant;
if Δ p m,t <Δp q,m,t Then, the electricity consumer m is the seller user in the time period t, and the offer policy of the electricity consumer m is:
ρ m,idsell,t ＝λ m,idsell,t p b,m,t +μ m,idsell,t
ρ m,idsell,t <ρ m,qdev,t
in the formula, ρ m,idsell,t 、p b,m,t 、ρ m,qdev,t Selling electricity in a day, quoting electricity in a day, selling electricity in a day, and punishing a fee for the electric power user m in a time period t; mu.s m,idsell,t Is a constant.
12. The method of claim 11, wherein the calculating the deviation transaction result comprises:
based on the VCG auction rule, sequentially ordering the electricity selling offers of the seller users from low to high in the day of the time period t to generate a clearing queue;
and bidding and clearing are carried out according to the clearing queue until the conditions are met:
wherein I and J are the numbers of buyer users and seller users, p a,i,t For the buyer i to purchase electricity during the day of time t b,j,t 、
Selling electricity quantity and maximum electricity selling electricity quantity for a seller user j in the day of the time period t;
and acquiring the winning revenue of the seller users who successfully bid and settle, and calculating the final transaction price:
in the formula, V j,t For seller user j, the winning bid amount, omega, during time period t t A transaction price for time period t;
constructing an objective function with the minimization of the cost of the buyer user and the seller user for the consumption of the demand deviation electricity quantity:
calculating and obtaining the electricity purchasing quantity p of the buyer user i in the day of the time period t based on the minimization construction objective function a,i,t Selling electricity quantity p of seller users j in day of time period t b,j,t And a transaction price omega at a time period t t 。
13. A main side chain double-chain interaction electric power transaction interaction device is characterized by comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 6.
14. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN117078347A (en) * | 2023-08-28 | 2023-11-17 | 合肥工业大学 | Electric-carbon integrated transaction method based on alliance chain |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117078347A (en) * | 2023-08-28 | 2023-11-17 | 合肥工业大学 | Electric-carbon integrated transaction method based on alliance chain |
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