CN115358803A - Cross-market fulfillment method and system - Google Patents
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Abstract
The embodiment of the application provides a cross-market performance method, which relates to the technical field of cross-organization data security interaction, and is implemented by establishing a conversion model between electric quantity in an electric power market and carbon emission in a carbon market, obtaining a conversion relation between the electric quantity in the electric power market and the carbon emission in the carbon market according to the conversion model, determining a demand resource quantity according to the conversion relation, an electric quantity quota of a target object and a carbon quota of the target object, and determining a cost required for meeting the demand according to the demand resource quantity, a first price per unit of electric quantity in the electric power market and/or a second price per unit of carbon emission in the carbon market so as to realize data interaction between the electric power market and the carbon market, and meeting performance responsibility of the electric power market and the carbon market at low cost by selecting optimal performance cost.
Description
Technical Field
The application relates to the technical field of cross-organization data security interaction, in particular to a cross-market performing method and system.
Background
With the acceleration of global warming, the climate problem gradually becomes the most concerned topic of the global market, and under this large background, various economies in the global scope continuously realize the emission reduction of greenhouse gases through various policies and means, reduce the carbon dioxide emission and vigorously develop renewable energy sources to become the main melody of the current social development. At present, most enterprises in the energy industry need to complete a carbon dioxide emission reduction task and a renewable energy consumption task, when the enterprises cannot complete carbon dioxide emission reduction quota or do not meet the new energy electricity consumption amount, the enterprises need to purchase carbon emission reduction quota from a carbon market or purchase new energy electricity consumption amount from an electricity market to complete the task, but the carbon market and the electricity market in China are two independent markets, and various transaction modes such as green certificate, renewable energy excess consumption certificate, green electricity consumption certificate, carbon transaction, CCER (national certificate voluntary emission reduction), and the like coexist, and in consideration of data security, authenticity and privacy, a data barrier exists between the various transaction modes, the advantage of data resource cooperation cannot be fully played, and the high cost can be caused by directly purchasing carbon dioxide emission reduction through the carbon market and directly purchasing new energy electricity consumption amount through the electricity market, a certain economic pressure is caused to a fulfillment subject, and the fulfillment initiative of the market subject is insufficient.
Disclosure of Invention
In view of the above, the present application provides a cross-market performing method and system, which aim to obtain an optimal performing manner based on data interaction between the power market and the carbon market.
In a first aspect, an embodiment of the present application provides a cross-market performing method, including:
establishing a conversion model between the electric quantity in the electric power market and the carbon emission quantity in the carbon market, and obtaining a conversion relation between the electric quantity in the electric power market and the carbon emission quantity in the carbon market according to the conversion model;
determining a required resource amount according to the conversion relation, the electric quantity limit of the target object and the carbon emission limit of the target object, wherein the required resource amount is the required carbon emission amount and the uncompleted consumption amount of the renewable energy consumption electric quantity;
determining a cost required to meet the demand based on the amount of demand resources, the first price per unit of electricity in the electricity market, and/or the second price per unit of carbon emissions in the carbon market.
Optionally, the determining, according to the amount of the demand resource, the first price per unit of electricity in the electricity market, and/or the second price per unit of carbon emission in the carbon market, the cost required for meeting the demand includes:
calculating a first cost according to the required resource amount and the second price, wherein the first cost is the sum of the cost required to be paid when the unfinished amount of the consumption electricity of all the renewable energy sources is converted into the excess amount of the carbon emission and the cost required to be paid when the excess amount of the carbon emission is converted into the carbon emission;
calculating a second cost according to the required resource amount and the first price, wherein the second cost is the sum of the cost required for converting the excess amount of all carbon emission into renewable consumption electric quantity and the cost required for paying the uncompleted amount of the renewable consumption electric quantity;
calculating a third cost according to the required resource amount, the first price and the second price, wherein the third cost is the sum of the cost required for converting the unfinished amount of the consumption electric quantity of part of the renewable energy into the excess amount of the carbon emission, the cost required for converting the unfinished amount of the consumption electric quantity of the rest of the renewable energy and the cost required for paying the excess amount of the carbon emission;
or, part of the carbon emission excess is converted into the sum of the cost required to be paid by the renewable energy consumption electricity, the cost required to be paid by the rest of the carbon emission excess and the cost required to be paid by the unfinished renewable energy consumption electricity;
and comparing the first cost, the second cost and the third cost, and taking the minimum value as the cost required by meeting the demand.
Optionally, when the third cost is the sum of the cost required for converting the part of the uncompleted amount of the renewable energy consumption electric quantity into the excess amount of the carbon emission, the cost required for converting the remaining part of the uncompleted amount of the renewable energy consumption electric quantity, and the cost required for paying the excess amount of the carbon emission, the third cost includes:
and acquiring a first carbon amount, wherein the first carbon amount is the carbon surplus in a carbon market, and the first carbon amount cannot meet the requirement of converting the unfinished amount of the consumed electricity of all the renewable energy sources into the carbon emission amount.
Optionally, when the third fee is the sum of the fee that needs to be paid to convert part of the excess carbon emission into the renewable absorption electric quantity and the fee that needs to be paid to convert the remaining part of the excess carbon emission and the fee that needs to be paid to convert the excess carbon emission into the renewable absorption electric quantity, the third fee includes:
and acquiring a first electric quantity, wherein the first electric quantity is the electric residual quantity in the electric power market, and the first electric quantity cannot meet the requirement of converting all the carbon emission excess quantity into renewable consumption electric quantity.
Optionally, the first price and the second price are predicted by a prediction model;
wherein the first price is the minimum cost required by each unit of electricity in at least one fulfillment mode of an electricity market, and the second price is the minimum cost required by each unit of carbon emission in at least one fulfillment mode of a carbon market;
the model for establishing the conversion between the electric quantity in the electric power market and the carbon emission in the carbon market is a prediction model constructed by fusing a random forest and a long-short term memory neural network.
In a second aspect, an embodiment of the present application provides a cross-market fulfillment system, including:
the conversion module is used for obtaining a conversion relation between electric quantity in the electric power market and carbon emission in the carbon market according to the conversion model;
the determining module is used for determining the required resource amount according to the conversion relation, the electric quantity limit of the target object and the carbon emission limit of the target object;
and the calculation module is used for calculating the cost required by meeting the demand according to the demand resource amount, the first price of each unit of electric quantity in the electric power market and/or the second price of each unit of carbon emission in the carbon market and the carbon emission factor.
Optionally, the computing module is further configured to:
calculating a first cost according to the required resource amount and the second price, wherein the first cost is the sum of the cost required for converting the unfinished amount of the consumed electric quantity of all the renewable energy sources into the excess amount of the carbon emission and the cost required for paying the excess amount of the carbon emission;
calculating a second cost according to the required resource amount and the first price, wherein the second cost is the sum of the cost required for converting all the excess carbon emission into renewable consumption electric quantity and the cost required for paying the renewable consumption electric quantity;
calculating a third cost according to the required resource amount, the first price and a second price, wherein the third cost is the sum of the cost required for converting the part of the uncompleted consumption amount of the renewable energy into the excess carbon emission amount, the cost required for converting the rest of the uncompleted consumption amount of the renewable energy into the excess carbon emission amount, and the cost required for paying the excess carbon emission amount;
or converting part of the excess carbon emission into the sum of the cost required to be paid by the renewable energy consumption electric quantity, the cost required to be paid by the rest part of the excess carbon emission and the cost required to be paid by the renewable energy consumption electric quantity;
and comparing the first cost, the second cost and the third cost, and taking the minimum value as the cost required by meeting the demand.
Optionally, the first price and the second price are predicted by a prediction model;
wherein the first price is the minimum cost required by each unit of electricity in at least one fulfillment mode of an electricity market, and the second price is the minimum cost required by each unit of carbon emission in at least one fulfillment mode of a carbon market.
In a third aspect, an embodiment of the present application provides a computing device, which includes a memory for storing instructions or code and a processor for executing the instructions or code to cause the device to perform the cross-market fulfillment method of any one of the preceding first aspects.
In a fourth aspect, an embodiment of the present application provides a computer storage medium, where codes are stored, and when the codes are executed, an apparatus running the codes implements the cross-market performing method according to any one of the foregoing first aspects.
The embodiment of the application provides a cross-market fulfillment method. When the method is executed, a conversion model between electric quantity in an electric power market and carbon emission in a carbon market is established, a conversion relation between the electric quantity in the electric power market and the carbon emission in the carbon market is obtained according to the conversion model, then a demand resource quantity is determined according to the conversion relation, the electric quantity quota of a target object and the carbon emission quota of the target object, and finally a cost required by the demand is determined according to the demand resource quantity, a first price of each unit of electric quantity in the electric power market and/or a second price of each unit of carbon emission in the carbon market, so that data interaction between the electric power market and the carbon market is established, optimal performance cost is selected, and low-cost cross-market performance is realized. Therefore, data between two markets can be interacted by a cross-market performance mode, a data barrier existing between transaction modes is broken through, the advantage of data resource cooperation is fully played, and meanwhile, the effect of reducing economic pressure of a performance subject is achieved by the low-cost cross-market performance mode.
Drawings
To illustrate the technical solutions in the present embodiment or the prior art more clearly, the drawings needed to be used in the description of the embodiment or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart of a method for cross-market fulfillment, according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an architecture of a cross-market fulfillment system according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a fulfillment system designed based on a block chain platform and multi-party data for the carbon market and the electricity market;
fig. 4 is a diagram illustrating a detailed process of performing a fulfillment by using a cross-market fulfillment method.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method of performing a cross-market performance method according to an embodiment of the present application, where the method includes:
s101: establishing a conversion model between the electric quantity in the electric power market and the carbon emission quantity in the carbon market, and obtaining a conversion relation between the electric quantity in the electric power market and the carbon emission quantity in the carbon market according to the conversion model;
the conversion relationship is determined by a carbon emission factor, which is CO in a certain energy consumption process 2 The coefficient of emission, e.g. CO, reduced in energy consumption for 1 degree electricity generation 2 Quantity, i.e. CO of the power generation process 2 The discharge coefficient. The carbon emission factor is a key coefficient for establishing the connection between the two markets, and the unfinished consumption of the power market can be calculated and obtained by matching with the carbon emission factor, so that the cost required to be paid when the unfinished consumption of the power market is converted into the cost required to be paid when the unfinished consumption of the power market exceeds the carbon emission, or vice versa, the cost required to be paid when the part of the unfinished consumption of the carbon emission exceeds the renewable consumption electric quantity is converted into the cost required to be paid.
S102: determining the amount of required resources according to the conversion relation, the electric quantity limit of the target object and the carbon emission limit of the target object;
the target object is an enterprise which needs to complete a carbon dioxide emission reduction task and a renewable energy consumption task;
the electric quantity limit of the target object refers to the remaining amount of the current new energy consumption task of the target object, and the carbon emission limit of the target object refers to the current carbon dioxide emission of the target object. It should be noted that the amount may be a positive value or a negative value.
The required resource amount refers to the amount of electricity and/or carbon emission required to be purchased to complete the task of the user.
S103: determining a cost required to meet the demand based on the amount of demand resources, the first price per unit of electricity in the electricity market, and/or the second price per unit of carbon emissions in the carbon market.
The unfinished renewable energy consumption electric quantity is converted into the cost which needs to be borne by the carbon quota:
CE m,n,i ＝EF m,n *RS m,i *C m,n
wherein CE m,n,i The cost of carbon quota is needed to be borne by the EF for m-year i enterprises in the n area from conversion from unfinished renewable energy consumption electric quantity to excess carbon emission m,n The carbon emission factor of the n region in m years (the power grid boundary is uniformly divided into six regions of power grids in the north China, the northeast China, the east China, the northwest China and the south China, and the carbon emission factors of different regions are different), RS m,i For m years of incomplete consumption of electricity by i enterprises, C m,n Carbon quota or CCER price for the n-region of m years.
The excess carbon dioxide emissions translate into the costs to be paid for undertaking the renewable energy consumption:
wherein RE m,n,i The EF is the cost required to be borne by the conversion of the excess carbon emission amount into the incomplete renewable energy consumption amount in the n area of the m-year i enterprise m,n Carbon emission factor, CS, for the n region of m years m,i Excess carbon emission, R, for m years of i enterprises m,n And (4) the consumption price of the renewable energy sources in the n-region of m years comprises the prices of green certificates, green power consumption certificates and renewable energy source excess consumption certificates.
In the embodiment, a conversion model between the electric quantity in the electric power market and the carbon emission quantity in the carbon market is established, and a conversion relation between the electric quantity in the electric power market and the carbon emission quantity in the carbon market is obtained according to the conversion model; establishing a conversion relation between electric quantity in an electric power market and carbon emission in a carbon market, then determining a required resource quantity according to the conversion model, the electric quantity limit of a target object and the carbon emission limit of the target object, and finally determining the cost required for meeting the demand according to the required resource quantity, the first price of each unit of electric quantity in the electric power market and/or the second price of each unit of carbon emission in the carbon market so as to establish data interaction between the electric power market and the carbon market, and selecting the optimal performance cost to realize low-cost cross-market performance. Therefore, data between two markets can be interacted by a cross-market performance mode, a data barrier existing between transaction modes is broken through, the advantage of data resource cooperation is fully played, and meanwhile, the effect of reducing economic pressure of a performance subject is achieved by the low-cost cross-market performance mode.
It will be appreciated that the available credit for purchase in the market does not necessarily satisfy all of the needs of the target subject, and therefore there are a number of ways to determine the cost required to satisfy a need for different situations:
in this embodiment, the determining the cost required to meet the demand according to the demanded resource amount, the first price per unit of electricity in the electricity market, and/or the second price per unit of carbon emission in the carbon market includes:
calculating a first cost according to the required resource amount and the second price, wherein the first cost is the sum of the cost required for converting the unfinished amount of the consumed electric quantity of all the renewable energy sources into the excess amount of the carbon emission and the cost required for paying the excess amount of the carbon emission;
calculating a second cost according to the required resource amount and the first price, wherein the second cost is the sum of the cost required for converting all the excess carbon emission into renewable consumption electric quantity and the cost required for paying the renewable consumption electric quantity;
calculating a third cost according to the required resource amount, the first price and the second price, wherein the third cost is the sum of the cost required for converting the unfinished amount of the consumption electric quantity of part of the renewable energy into the excess amount of the carbon emission, the cost required for converting the unfinished amount of the consumption electric quantity of the rest of the renewable energy and the cost required for paying the excess amount of the carbon emission;
or converting part of the excess carbon emission into the sum of the cost required to be paid by the renewable energy consumption electric quantity, the cost required to be paid by the rest part of the excess carbon emission and the cost required to be paid by the renewable energy consumption electric quantity;
and comparing the first cost, the second cost and the third cost, and taking the minimum value as the cost required by meeting the demand.
When the carbon market limit is enough to meet the requirement of a target object, converting the unfinished consumption of the electric quantity of all renewable energy sources into the excess of the carbon emission, calculating the required cost to obtain the cost required for completing the task of consuming the electric quantity of the new energy sources, and adding the cost required for paying the excess of the carbon emission to obtain the cost required for determining and meeting the requirement;
when the electric power market quota is enough to meet the requirements of the target object, converting all the carbon emission excess into renewable consumption electric quantity, calculating the required cost to obtain the cost required for completing the carbon emission excess, and adding the cost required for completing the carbon emission excess and the cost required for paying the renewable consumption electric quantity to obtain the cost required for determining and meeting the requirements;
when the carbon market limit cannot meet the requirement of the target object, converting part of the unfinished amount of the renewable energy consumption into the excess amount of the carbon emission, calculating the required cost, and adding the required cost with the cost to be paid by the excess amount of the carbon emission and the cost required by the unfinished amount of the remaining part of the renewable energy consumption to obtain the cost required for determining the requirement;
and when the electric power market quota can not meet the requirements of the target object, converting part of the excess carbon emission into renewable consumption electric quantity, calculating the required cost, and adding the required cost with the cost required to be paid by the renewable consumption electric quantity to obtain the cost required by meeting the requirements.
And comparing the first cost, the second cost and the third cost, and taking the minimum value as the cost required by meeting the demand.
In one implementation manner of this embodiment, when the third fee is a sum of a fee to be paid when a part of the unfinished amount of the renewable energy consumption amount is converted into an excess amount of the carbon emission amount, a fee to be paid when a remaining part of the unfinished amount of the renewable energy consumption amount is converted into the excess amount of the carbon emission amount, the third fee includes:
and acquiring a first carbon amount, wherein the first carbon amount is the carbon surplus in a carbon market, and the first carbon amount cannot meet the requirement of converting the unfinished amount of the consumed electricity of all renewable energy sources into the carbon emission amount.
In one implementation manner of this embodiment, when the third fee is the sum of the fee to be paid for converting the part of the carbon emission excess into the renewable absorption electric quantity and the fee to be paid for converting the remaining part of the carbon emission excess and the fee to be paid for converting the carbon emission excess into the renewable absorption electric quantity, the third fee includes:
and acquiring a first electric quantity, wherein the first electric quantity is the electric residual quantity in the electric power market, and the first electric quantity cannot meet the requirement of converting all the carbon emission excess quantity into renewable consumption electric quantity.
In one implementation manner of this embodiment, the first price and the second price are predicted by a prediction model;
wherein the first price is the minimum cost per unit electricity in at least one performance mode of the electricity market, and the second price is the minimum cost per unit carbon emission in at least one performance mode of the carbon market;
the established conversion model between the electric quantity in the electric power market and the carbon emission in the carbon market is a prediction model constructed by fusing a random forest and a long-short term memory neural network.
It should be explained that the carbon market and the electric power market include a plurality of transaction modes such as green certificate, renewable energy excess consumption certificate, green electric power consumption certificate, carbon transaction, and ccor, and the first price and the second price are minimum required costs in the corresponding market performing mode respectively.
The process of predicting the first price and the second price by using the prediction model comprises the following steps:
a prediction model is constructed by fusing a Random Forest (RF) and a long-short term memory neural network (LSTM), and the specific establishment process of the model is as follows:
firstly, acquiring a carbon quota which belongs to 6 power grid areas in nearly three years as sample data, wherein each data sample comprises a plurality of characteristic index values, constructing a technical index for prediction as a characteristic set, and carrying out normalization processing on the characteristic set. Then, training a random forest, resampling by using a bootstrap method, wherein the probability that each sample in the original data is not extracted is(1－1/N) N These data constitute out-of-bag (OOB) data.
Secondly, for each decision tree, selecting corresponding data outside the bag to calculate error of the data outside the bag, and recording the error of the data outside the bag, wherein the error is calculated by using the error of the data outside the bag 1 . Randomly adding noise interference to the characteristic x of all samples of the OOB data, calculating the OOB data error again, and recording as errOOB 2 。
Assuming that there are N trees in the forest, the significance of the feature x is calculated as:
FIM X ＝(errOOB 2 -errOOB 1 )/N
the FIM is a feature importance score (feature importance measures), and if the OOB data accuracy rate is greatly reduced (i.e., errOOB2 is increased) after random noise is added, it indicates that the feature has a great influence on the sample prediction result, i.e., the importance degree is relatively high. And calculating the importance of the features, then sorting according to the importance, and selecting the feature set with the lowest error rate outside the bag according to the obtained feature sets and the error rates outside the bag corresponding to the feature sets.
Thirdly, inputting the selected feature set into the LSTM for prediction, comparing a prediction result with a sample label, calculating a cross entropy loss function, and optimizing a weight by using an Adam optimization method. Testing the trained model by using the test data to obtain a final carbon emission price prediction result C n,cq Similarly, the final predicted price C of CCER in each region is obtained by the method n,ccer 。
It should be explained that the boundaries of the power grid are uniformly divided into regional power grids in north China, northeast China, east China, northwest China and south China.
In addition, the scheme of this embodiment may be applied to a block chain platform, a comparison intelligent contract is established based on the block chain platform, the calculation of the first cost, the second cost, the third cost and the comparison result are all obtained by automatically calculating the intelligent comparison contract, and the distributed cross-institution data security interaction machine has the following characteristics:
1) According to the actual service situation, a data model of data exchange is flexibly defined in a data dictionary mode;
2) And the data provider links the data according to the defined data model rule for storing the certificate, and automatically performs data formalization check during storing the certificate to ensure the normal link. And generating a unique block chain certificate storing number and certificate storing time after the data is linked upwards, and verifying.
3) When data are exchanged, data privacy safety is ensured by adopting a digital envelope encryption mode or a trusted computing safety sandbox mode, the trusted computing safety sandbox can ensure that only data analysis results are output, and data do not fall to the ground or leak;
4) Carrying out visual tracing management on data storage certificate and data exchange process behaviors;
5) The data exchange sharing authority mode of 'open, directional authorization-free and directional authorization' is provided, and the authority control of the data exchange can be detailed to field level.
As shown in fig. 3, a performance platform designed according to a block chain platform and multi-party data of a carbon market and a power market specifically includes:
platform layer: basic technologies, algorithms and services adopted in the platform research and development process comprise credibility verification, stable private services, block construction, encryption algorithms and the like, and basic components can record, verify and spread information in an energy block chain system network. The platform layer is a core technology layer of the block chain, through combining specific business requirements, the attack and deployment of core technologies such as a consensus mechanism, an intelligent contract and a cross-chain mode are pertinently developed, and through fusing digitalized components such as artificial intelligence, big data and cloud computing, a block chain technology support system is constructed and formed, so that high-performance application guarantee is provided for upper-layer service construction.
And (3) a service layer: and a basic service module of the block chain platform comprises contents such as distributed identity authentication, data evidence storage/evidence obtaining, credibility tracing, intelligent contract management, electronic signature and the like. The service layer is used for completing the encapsulation of the function module, providing a convenient calling mode for upper-layer application, is an interface layer of the block chain and the service system, is also an inlet of the block chain support service, and is used for realizing the effective support of the energy service by butting various services in the energy industry in an interface mode according to the requirement of the service.
Operation and maintenance management: the system is responsible for daily operation and maintenance work of the block chain platform, mainly comprises monitoring and management of running states of resources, nodes, interfaces and the like and analysis of running conditions of the whole system, and realizes comprehensive monitoring of the running conditions of the block chain by butting the conventional comprehensive network management system.
Safety protection: corresponding protection measures are made on aspects of platform physical security, network security, host security, data security, user security and the like, and corresponding security strategies are made, so that the hardware, the system and the application of the whole platform are comprehensively protected.
And the application layer is in butt joint with service systems such as a carbon transaction platform, an electric power transaction platform, a green certificate purchase platform and the like, acquires related data sources and simultaneously feeds back related result information to each platform. And an electric-carbon conversion model is constructed through an intelligent contract, the whole conversion and comparison process is completely recorded on a chain, and finally, the optimal performance scheme is output for the performance enterprises.
Another embodiment of the present application is shown in fig. 4, which is a schematic diagram illustrating a specific process of performing a fulfillment by using a cross-market fulfillment method:
(1) The market main body enterprise needs to obtain renewable energy consumption responsibility and carbon emission reduction quota information, and credible identity authentication is carried out through a block chain platform. After the authentication is passed, convergence of data directories of all platforms is realized by butting a carbon transaction platform, an electric power transaction platform and a green certificate purchase platform, and transaction data of different platforms are obtained through a data authorization mechanism; acquiring renewable energy consumption responsibility which is supposed to be born in the year from a renewable energy consumption administrative department through the block chain platform, acquiring carbon quota information which is supposed to be born in the year from a carbon emission administrative department system, and the renewable energy consumption information and the carbon emission information of an enterprise;
(2) Through several modules of carbon quota management, CCER management, renewable energy excess consumption certificate management, green power consumption certification management, green certificate management and the like, and a carbon emission factor setting module, an electricity-carbon conversion intelligent contract is generated on a block chain platform, so that the conversion of an electric power market certificate and a carbon market certificate is realized, and a cost management contract is generated;
(3) The contract performing market main body inputs unfinished contract performing information into an intelligent contract, the intelligent contract generated through the electric-carbon conversion model outputs an optimal contract performing scheme through the operation of the intelligent contract, the optimal contract performing scheme is returned to the contract performing main body, and chain evidence storing records are arranged in the whole process, so that the information is guaranteed to be transparent.
(4) The market main body completes the transaction according to the performance scheme, the cost is saved, the performance responsibility of the enterprise is completed, the performance enthusiasm of the enterprise is further stimulated, and the implementation of the double-carbon target is assisted.
The foregoing provides some specific implementations of the cross-market fulfillment method for embodiments of the present application, and based on this, the present application also provides a corresponding system. The system provided by the embodiment of the present application will be described in terms of functional modularity.
Referring to fig. 2, a schematic structural diagram of a cross-market fulfillment system 200 is shown, where the system 200 includes:
the conversion module 210 is configured to obtain a conversion relationship between electric quantity in the electric power market and carbon emission in the carbon market according to the conversion model;
the determining module 220 is configured to determine the required resource amount according to the conversion relationship, the electric quantity limit of the target object, and the carbon emission limit of the target object;
a calculating module 230, configured to calculate the cost required to meet the demand according to the required resource amount, the first price per unit of electricity in the electricity market, and/or the second price per unit of carbon emission in the carbon market, and the carbon emission factor.
In an implementation manner of this embodiment, the calculating module 230 is further configured to:
calculating a first cost according to the required resource amount and the second price, wherein the first cost is the sum of the cost required for converting the unfinished amount of the consumed electric quantity of all the renewable energy sources into the excess amount of the carbon emission and the cost required for paying the excess amount of the carbon emission;
calculating a second cost according to the required resource amount and the first price, wherein the second cost is the sum of the cost required for converting all the excess carbon emission into renewable consumption electric quantity and the cost required for paying the renewable consumption electric quantity;
calculating a third cost according to the required resource amount, the first price and the second price, wherein the third cost is the sum of the cost required for converting the unfinished amount of the consumption electric quantity of part of the renewable energy into the excess amount of the carbon emission, the cost required for converting the unfinished amount of the consumption electric quantity of the rest of the renewable energy and the cost required for paying the excess amount of the carbon emission;
or converting part of the carbon emission excess into the sum of the cost required to be paid by the renewable energy consumption electricity, the cost required to be paid by the rest part of the carbon emission excess and the cost required to be paid by the renewable energy consumption electricity;
and comparing the first cost, the second cost and the third cost, and taking the minimum value as the cost required by meeting the demand.
In one implementation manner of this embodiment, the first price and the second price are predicted by a prediction model;
wherein the first price is the minimum cost required by each unit of electricity in at least one fulfillment mode of an electricity market, and the second price is the minimum cost required by each unit of carbon emission in at least one fulfillment mode of a carbon market.
The embodiment of the application also provides corresponding equipment and a computer storage medium, which are used for realizing the scheme provided by the embodiment of the application.
Wherein the apparatus comprises a memory for storing instructions or code and a processor for executing the instructions or code to cause the apparatus to perform the method of any embodiment of the present application.
The computer storage medium has code stored therein that, when executed, causes an apparatus that executes the code to implement a method as described in any of the embodiments of the present application.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by software plus a general hardware platform. 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, such as a read-only memory (ROM)/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network communication device such as a router) to execute the method according to the embodiments or some parts of the embodiments of the present application.
All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, the system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the description of the method embodiments for relevant points. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement without inventive effort.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
It should be further noted that, in the present specification, all the embodiments are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the apparatus and system embodiments, because they are substantially similar to the method embodiments, are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described embodiments of the apparatus and system are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts suggested as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A cross-market fulfillment method, applied to a blockchain platform, the method comprising:
establishing a conversion model between the electric quantity in the electric power market and the carbon emission quantity in the carbon market, and obtaining a conversion relation between the electric quantity in the electric power market and the carbon emission quantity in the carbon market according to the conversion model;
determining a required resource amount according to the conversion relation, the electric quantity limit of the target object and the carbon emission limit of the target object, wherein the required resource amount is the required carbon emission amount and the uncompleted consumption amount of the renewable energy consumption electric quantity;
and determining the cost required for meeting the demand according to the demand resource amount, the first price per unit of electricity in the electricity market and/or the second price per unit of carbon emission in the carbon market.
2. The method of claim 1, wherein determining the cost to satisfy the demand based on the amount of the demanded resource, the first price per unit of electricity in the electricity market, and/or the second price per unit of carbon emissions in the carbon market comprises:
calculating a first cost according to the required resource amount and the second price, wherein the first cost is the sum of the cost required for converting the unfinished amount of the consumed electric quantity of all the renewable energy sources into the excess amount of the carbon emission and the cost required for paying the excess amount of the carbon emission;
calculating a second cost according to the required resource amount and the first price, wherein the second cost is the sum of the cost required to be paid when all the carbon emission excess is converted into renewable consumption electric quantity and the cost required to be paid when the renewable consumption electric quantity is converted into renewable consumption electric quantity;
calculating a third cost according to the required resource amount, the first price and a second price, wherein the third cost is the sum of the cost required for converting the part of the uncompleted consumption amount of the renewable energy into the excess carbon emission amount, the cost required for converting the rest of the uncompleted consumption amount of the renewable energy into the excess carbon emission amount, and the cost required for paying the excess carbon emission amount;
or, part of the carbon emission excess is converted into the sum of the cost required to be paid by the renewable energy consumption electricity, the cost required to be paid by the rest of the carbon emission excess and the cost required to be paid by the unfinished renewable energy consumption electricity;
and comparing the first cost, the second cost and the third cost, and taking the minimum value as the cost required by meeting the demand.
3. The method of claim 2, wherein when the third fee is a sum of a fee to be paid for converting the part of the uncompleted amount of the renewable energy consumption amount into the excess amount of the carbon emission amount, a fee to be paid for converting the remaining part of the uncompleted amount of the renewable energy consumption amount, and a fee to be paid for converting the excess amount of the carbon emission amount, the third fee comprises:
and acquiring a first carbon amount, wherein the first carbon amount is the carbon surplus in a carbon market, and the first carbon amount cannot meet the requirement of converting the unfinished amount of the consumed electricity of all renewable energy sources into the carbon emission amount.
4. The method of claim 2, wherein when the third fee is a sum of a fee to be paid for converting the excess amount of carbon emission to the renewable absorption power and a fee to be paid for converting the excess amount of carbon emission to the remaining excess amount of carbon emission, the fee to be paid for the excess amount of carbon emission comprises:
and acquiring a first electric quantity, wherein the first electric quantity is the electric residual quantity in the electric power market, and the first electric quantity cannot meet the requirement of converting the excess quantity of all carbon emission into renewable consumption electric quantity.
5. The method of claim 1, wherein the first price and the second price are predicted by a prediction model;
wherein the first price is the minimum cost required by each unit of electricity in at least one fulfillment mode of an electricity market, and the second price is the minimum cost required by each unit of carbon emission in at least one fulfillment mode of a carbon market;
the model for establishing the conversion between the electric quantity in the electric power market and the carbon emission in the carbon market is a prediction model constructed by fusing a random forest and a long-short term memory neural network.
6. A cross-market fulfillment system, said system comprising:
the conversion module is used for obtaining a conversion relation between electric quantity in the electric power market and carbon emission in the carbon market according to the conversion model;
the determining module is used for determining the amount of the required resources according to the conversion relation, the electric quantity limit of the target object and the carbon emission limit of the target object;
and the calculating module is used for calculating the cost required by meeting the demand according to the demand resource amount, the first price of each unit of electric quantity in the electric power market and/or the second price of each unit of carbon emission in the carbon market and the carbon emission factor.
7. The system of claim 6, wherein the computing module is further configured to:
calculating a first cost according to the required resource amount and the second price, wherein the first cost is the sum of the cost required for converting the unfinished amount of the consumed electric quantity of all the renewable energy sources into the excess amount of the carbon emission and the cost required for paying the excess amount of the carbon emission;
calculating a second cost according to the required resource amount and the first price, wherein the second cost is the sum of the cost required for converting all the excess carbon emission into renewable consumption electric quantity and the cost required for paying the renewable consumption electric quantity;
calculating a third cost according to the required resource amount, the first price and a second price, wherein the third cost is the sum of the cost required for converting the part of the uncompleted consumption amount of the renewable energy into the excess carbon emission amount, the cost required for converting the rest of the uncompleted consumption amount of the renewable energy into the excess carbon emission amount, and the cost required for paying the excess carbon emission amount;
or, part of the carbon emission excess is converted into the sum of the cost required to be paid by the renewable energy consumption electricity, the cost required to be paid by the rest of the carbon emission excess and the cost required to be paid by the unfinished renewable energy consumption electricity;
and comparing the first cost, the second cost and the third cost, and taking the minimum value as the cost required by meeting the demand.
8. The system of claim 6, wherein the first price and the second price are predicted by a prediction model;
wherein the first price is the minimum cost required by each unit of electricity in at least one fulfillment mode of an electricity market, and the second price is the minimum cost required by each unit of carbon emission in at least one fulfillment mode of a carbon market;
the model for establishing the conversion between the electric quantity in the electric power market and the carbon emission in the carbon market is a prediction model constructed by fusing a random forest and a long-short term memory neural network.
9. A computing device, wherein the device comprises: a memory, a processor;
the memory is used for storing programs;
the processor, when executing the computer program, implementing the method of any of claims 1 to 5.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method according to any one of claims 1 to 5.
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