CN115719238B - Distributed energy demand processing method and device based on block chain - Google Patents
Distributed energy demand processing method and device based on block chain Download PDFInfo
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Abstract
The application provides a distributed energy demand processing method and device based on a blockchain, which utilizes a principal component analysis algorithm to calculate and utilize a maximum-minimum standardization algorithm to process the distributed energy demand of a power generation party and the distributed energy demand of a power consumer, and an evaluation index of the distributed energy demand of the target power generation party and an evaluation index of the distributed energy demand of the target power consumer are obtained; sequencing the distributed energy demands of all target power generation parties according to the evaluation indexes to obtain a power purchase demand sequence, and sequencing the distributed energy demands of all target power users to obtain a power selling demand sequence; sequentially matching the distributed energy demands of the target power generation party with the same serial numbers with the distributed energy demands of the target power users, and determining a successfully matched target distributed energy demand group; uploading the digital signed target distributed energy demand group and the corresponding market price to a blockchain; market clearing prices are determined using the trading prices of the target distributed energy demand group.
Description
Technical Field
The invention relates to the technical field of blockchains, in particular to a distributed energy demand processing method and device based on blockchains.
Background
With the development of the energy Internet, wind energy, solar energy, energy storage batteries and the like have the advantages of small environmental pollution, high energy conversion rate, small equipment, convenient installation and the like, a large amount of distributed energy sources are connected, and the power transaction type shows a diversified trend. The distributed energy taking the new energy as the main body has higher resource and environmental benefits, is an increasingly important component part of the energy trading market, and is an important way for promoting the development of the new energy and reducing the carbon emission.
In the prior art, the power generation and quotation data of each main body of the market can be collected through a certain department leading (such as a trading center), the trading scheme is centrally matched or optimized, and the energy demand is correspondingly processed according to the determined trading scheme. However, the existing distributed energy demand processing mode has the defects of more participants, small amount of single transaction amount, scattered positions and high concurrency, so that the demand processing manual work load is large, the processing difficulty of the transaction center is greatly increased, and the running cost of the transaction center is also increased. Moreover, the distributed energy transaction is not only the behavior between two parties of a transaction main body, but also involves a large number of business auditing links such as multi-department and multi-level subsidy policy implementation, responsibility assessment and the like, and the transaction center and other departments in the traditional distributed energy scene are individual information islands, so that the problems of difficult data communication, low cooperative efficiency, low transaction matching and the like are easy to occur.
Disclosure of Invention
In view of the above, the invention provides a distributed energy demand processing method and device based on a blockchain, so as to solve the problems of high transaction demand processing difficulty, high operation cost, difficult data communication, low collaboration efficiency, low transaction matching efficiency and the like in the prior art.
The invention discloses a distributed energy demand processing method based on a block chain, which comprises the following steps:
acquiring distributed energy requirements of a plurality of power generation parties and distributed energy requirements of a plurality of power users in a preset time period;
processing the power generation side distributed energy requirement and the power user distributed energy requirement by using a maximum-minimum standardized algorithm, and storing the obtained target power generation side distributed energy requirement and target power user distributed energy requirement into a blockchain;
calculating an evaluation index of the distributed energy demand of each target power generation party and an evaluation index of the distributed energy demand of each target power consumer by using a principal component analysis algorithm;
sequencing the distributed energy demands of each target power generation party according to the evaluation index of the distributed energy demands of each target power generation party to obtain a power purchase demand sequence, and sequencing the distributed energy demands of each target power user according to the evaluation index of the distributed energy demands of each target power user to obtain a power selling demand sequence;
Sequentially matching the target power generation side distributed energy requirements and the target power user distributed energy requirements with the same sequence numbers in the electricity selling requirement sequence and the electricity purchasing requirement sequence, and determining at least one target distributed energy requirement group successfully matched;
determining market price of each target distributed energy demand group by utilizing transaction price in each target distributed energy demand group;
when it is detected that the power consumer and the power generator digitally sign each of the target distributed energy demand groups using an intelligent contract, uploading it and the corresponding market price to the blockchain.
Optionally, the matching the target power generation side distributed energy requirement and the target power user distributed energy requirement with the same serial numbers in the electricity selling requirement sequence and the electricity purchasing requirement sequence in sequence to obtain at least one target distributed energy requirement group includes:
sequentially calculating the difference value of the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand, wherein the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand are the same in sequence in the electricity selling demand sequence and the electricity purchasing demand sequence;
If the difference value between the transaction price in the target power generation side distributed energy demand and the transaction price in the target power consumer distributed energy demand with the same serial number is greater than or equal to zero, determining that the target power generation side distributed energy demand with the same serial number and the target power consumer distributed energy demand are successfully matched;
and determining the successfully matched distributed energy demand of the target power generation party and the distributed energy demand of the target power consumer as a target distributed energy demand group.
Optionally, the sorting the distributed energy demands of each target power generation party according to the evaluation index of the distributed energy demand of each target power generation party to obtain a power purchase demand sequence, and sorting the distributed energy demands of each target power consumer according to the evaluation index of the distributed energy demand of each target power consumer to obtain a power selling demand sequence, including:
sequencing the distributed energy demands of the target power users from high to low according to the evaluation indexes of the distributed energy demands of the target power generation parties by utilizing intelligent contracts to obtain a power purchasing demand sequence;
and sequencing the distributed energy demands of all the target power generation parties from low to high according to the evaluation indexes of the distributed energy demands of all the target power users by utilizing the intelligent contract to obtain the electricity selling demand sequence.
Optionally, the processing the power generation side distributed energy requirement and the power consumer distributed energy requirement by using a maximum-minimum standardization algorithm, and storing the obtained target power generation side distributed energy requirement and the target power consumer distributed energy requirement in a blockchain respectively includes:
carrying out normalization processing on the power generation side distributed energy demands by adopting a maximum-minimum normalization algorithm to obtain target power generation side distributed energy demands, and storing the target power generation side distributed energy demands into a blockchain by utilizing an intelligent contract;
and respectively carrying out normalization processing on the distributed transactions of the power users by adopting the maximum-minimum normalization algorithm to obtain the distributed energy demands of the target power users, and storing the distributed energy demands of the target power users into a blockchain by utilizing the intelligent contract.
Optionally, the determining the market price of each target distributed energy demand group by using the transaction price in each target distributed energy demand group includes:
calculating an average value of the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand in the target distributed energy demand group according to each target distributed energy demand group;
And determining the average value as a market price for the target distributed energy demand.
In a second aspect, the invention discloses a distributed energy demand processing apparatus based on a blockchain, the system comprising:
the demand acquisition unit is used for acquiring distributed energy demands of a plurality of power generation parties and distributed energy demands of a plurality of power users in a preset time period;
the processing unit is used for respectively processing the power generation side distributed energy requirement and the power user distributed energy requirement by utilizing a maximum-minimum standardized algorithm and storing the obtained target power generation side distributed energy requirement and target power user distributed energy requirement into a block chain;
the evaluation index calculation unit is used for calculating an evaluation index of the distributed energy demand of each target power generation party and an evaluation index of the distributed energy demand of each target power consumer by using a principal component analysis algorithm;
the sequencing unit is used for sequencing the distributed energy demands of each target power generation party according to the evaluation index of the distributed energy demands of each target power generation party to obtain a power purchase demand sequence, and sequencing the distributed energy demands of each target power user according to the evaluation index of the distributed energy demands of each target power user to obtain a power selling demand sequence;
The matching unit is used for sequentially matching the target power generation side distributed energy requirements and the target power user distributed energy requirements with the same sequence number in the electricity selling requirement sequence and the electricity purchasing requirement sequence, and determining at least one target distributed energy requirement group successfully matched;
a market price determining unit configured to determine a market price of each of the target distributed energy demand groups using the transaction price in each of the target distributed energy demand groups;
and the uploading unit is used for uploading the target distributed energy demand groups and the corresponding market clear prices to the block chain when detecting that the power users and the power generators use intelligent contracts to digitally sign each target distributed energy demand groups.
Optionally, the matching unit includes:
the calculating unit is used for sequentially calculating the difference value of the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand, wherein the serial numbers of the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand are the same in the electricity selling demand sequence and the electricity purchasing demand sequence;
the matching subunit is used for determining that the matching of the target power generation side distributed energy demands with the same serial numbers and the target power user distributed energy demands is successful if the difference value between the transaction price in the target power generation side distributed energy demands with the same serial numbers and the transaction price in the target power user distributed energy demands is greater than or equal to zero;
And the determining unit is used for determining the target power generation side distributed energy demand and the target power user distributed energy demand which are successfully matched as a target distributed energy demand group.
Optionally, the sorting unit includes:
the first sequencing subunit is used for sequencing the distributed energy demands of the target power users from high to low according to the evaluation indexes of the distributed energy demands of the target power generation parties by utilizing an intelligent contract to obtain a power purchasing demand sequence;
and the second sequencing subunit is used for sequencing the distributed energy demands of the target power generation parties from low to high according to the evaluation indexes of the distributed energy demands of the target power users by utilizing the intelligent contract to obtain the electricity selling demand sequence.
Optionally, the processing unit includes:
the first normalization processing unit is used for respectively performing normalization processing on the power generation side distributed energy demands by adopting a maximum-minimum normalization algorithm to obtain target power generation side distributed energy demands, and storing the target power generation side distributed energy demands into a block chain by utilizing an intelligent contract;
and the second normalization processing unit is used for respectively carrying out normalization processing on the distributed transactions of the power users by adopting the maximum-minimum normalization algorithm to obtain the distributed energy demands of the target power users, and storing the distributed energy demands of the target power users into a blockchain by utilizing the intelligent contract.
Optionally, the market price determining unit includes:
an average value calculating unit, configured to calculate, for each of the target distributed energy demand groups, an average value of a transaction price in the target power generation side distributed energy demand and a transaction price in the target power consumer distributed energy demand in the target distributed energy demand group;
and a market price determining subunit configured to determine the average value as the market price of the target distributed energy demand.
The invention provides a distributed energy demand processing method and device based on a block chain, which are used for acquiring distributed energy demands of multiple power generation parties and distributed energy demands of multiple power users in a preset time period; processing the power generation side distributed energy demand and the power user distributed energy demand by utilizing a maximum-minimum standardized algorithm, and storing the obtained target power generation side distributed energy demand and target power user distributed energy demand into a block chain; calculating an evaluation index of the distributed energy demand of each target power generation party and an evaluation index of the distributed energy demand of each target power user by using a principal component analysis algorithm; sequencing the distributed energy demands of each target power generation party according to the evaluation index of the distributed energy demands of each target power generation party to obtain a power purchase demand sequence, and sequencing the distributed energy demands of each target power user according to the evaluation index of the distributed energy demands of each target power user to obtain a power selling demand sequence; sequentially matching the distributed energy demands of the target power generation party and the distributed energy demands of the target power users with the same serial numbers in the electricity selling demand sequence and the electricity purchasing demand sequence, and determining at least one target distributed energy demand group successfully matched; determining market price of each target distributed energy demand group by utilizing the transaction price in each target distributed energy demand group; when it is detected that the power consumer and the power generator digitally sign each target set of distributed energy requirements using an intelligent contract, they and the corresponding market price are uploaded to the blockchain. The technical scheme provided by the invention can eliminate the business audit related in the existing energy demand flow and the link of manually collecting the transaction demands, thereby not only reducing the manual workload, saving the manpower resources, but also reducing the operation cost and improving the transaction matching efficiency.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a distributed energy demand processing method based on a blockchain according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a distributed energy demand processing apparatus based on a blockchain according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by these devices, modules, or units.
It should be noted that references to "one" or "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be interpreted as "one or more" unless the context clearly indicates otherwise.
Referring to fig. 1, a flow chart of a distributed energy demand processing method based on a blockchain according to an embodiment of the present invention is shown, where the distributed energy demand processing method based on a blockchain specifically includes the following steps:
S101: and acquiring distributed energy requirements of a plurality of power generation parties and distributed energy requirements of a plurality of power users in a preset time period.
In the process of specifically executing step S101, distributed energy demand information submitted by each distributed energy generator and the power consumer for a period of time is obtained. The distributed energy demand information comprises a plurality of power generation party distributed energy demands and a plurality of power consumer distributed energy demands.
In an embodiment of the present application, each distributed energy demand includes a trade price, a trade power, a time benefit, an activity, and a reputation value. The distributed energy requirement may be a power generation side distributed energy requirement or a power consumer distributed energy requirement.
For the distributed energy demand of the power generation party, the transaction price refers to the lowest electricity selling price, the transaction electric quantity refers to the maximum electricity selling quantity, the time benefit refers to the time of submitting the transaction demand, the activity refers to the number of times of submitting the transaction in the period, and the reputation value mainly analyzes whether the distributed energy main body provides electricity according to the willingness and the behavior of the agreement as expected.
For the distributed energy demand of the power consumer, the transaction price refers to the highest electricity purchasing price, the transaction electric quantity refers to the highest electricity purchasing quantity, the time benefit refers to the time of submitting the transaction demand, the liveness refers to the number of times of submitting the transaction in the period, and the reputation value mainly analyzes whether the power consumer pays the electricity fee as expected according to the agreement and the behavior.
It should be noted that the distributed energy demand may also be a distributed energy transaction demand. The distributed energy demand may be a power generation side distributed energy demand or a power consumer distributed energy demand, and the distributed energy transaction demand may be a power generation side distributed energy transaction demand or a power consumer distributed energy transaction demand, accordingly.
S102: and processing the power generation side distributed energy requirement and the power user distributed energy requirement by using a maximum-minimum standardized algorithm respectively, and storing the obtained target power generation side distributed energy requirement and target power user distributed energy requirement into a block chain.
In the embodiment of the application, after obtaining the distributed energy demands of a plurality of power generation parties, a maximum-minimum standardized algorithm is adopted for each power generation party distributed energy demand, and the power generation party distributed energy demands are normalized to obtain target power generation party distributed energy demands; the target generator distributed energy demand is stored to the blockchain using the smart contract.
Specifically, a maximum-minimum standardization algorithm is adopted to normalize each parameter in the distributed energy demand of the power generation party, so that the distributed energy demand of the target power generation party is obtained. Wherein, each parameter in the distributed energy demand of the power generation party comprises trade price, trade electric quantity, time benefit, liveness and credit value.
In the embodiment of the application, after a plurality of power consumer distributed energy demands are acquired, a maximum-minimum standardized algorithm is adopted for each power consumer distributed energy demand, and the power consumer distributed energy demands are respectively normalized to obtain target power consumer distributed energy demands; the target electricity consumer distributed energy demand is stored to the blockchain using the smart contract.
Specifically, a maximum-minimum standardization algorithm is adopted to normalize each parameter in the distributed energy demand of the power consumer, so that the distributed energy demand of the target power consumer is obtained. Wherein, each parameter in the distributed energy demand of the electric power consumer comprises a trade price, a trade electric quantity, a time benefit, an activity level and a credit value.
The max-min normalization algorithm is shown in formula (1).
Wherein x is a parameter to be normalized, and x' is a parameter after normalization.
In the embodiment of the present application, taking a maximum-minimum normalization algorithm as an example, the normalization processing is performed on the time benefit in the distributed energy demand, and the specific process is as follows:
for time benefit TI, the time domain where the commit time is located [ T min ,T max ]The Interval length Interval is uniformly divided into five time periods, and the five time periods respectively correspond to numerical values, and the specific correspondence relationship between the submission time and the time benefit is as follows
Table 1 shows:
that is, after normalizing the time benefit by the maximum-minimum normalization algorithm, the result is obtained at T min ～T max In +Interval/5, the value of the time benefit can be determined to be 1, and the values corresponding to the time benefit can be determined by analogy.
In the embodiment of the application, taking the normalization processing of the reputation value in the distributed energy requirement by adopting a maximum-minimum normalization algorithm as an example, the specific process is as follows:
for the reputation value RV, the expected provided electric quantity or paid electric charge may be set to be 1, if the delinquent time is longer, the delinquent number is larger, the score of the item is lower, the lowest value is 0, and the specific correspondence between the reputation value and the delinquent time is shown in table 2:
| delinquent time (Tian) | 0 | 1-3 | 4-7 | 8-14 | 15-30 | ≥31 |
| Reputation value | 1 | 0.8 | 0.6 | 0.4 | 0.2 | 0 |
It should be noted that, the process of normalizing the transaction price, the transaction electric quantity and the liveness by using the maximum-minimum normalization algorithm is the same as the process of normalizing the time benefit and the reputation by using the maximum-minimum normalization algorithm, and the process of normalizing the time benefit and the reputation by using the maximum-minimum normalization algorithm can be referred to above, and will not be described here again.
It should be further noted that the above-mentioned distributed energy requirement may be a distributed energy requirement of an electric power consumer or a distributed energy requirement of a power generation party.
S103: and calculating an evaluation index of the distributed energy demand of each target power generation party and an evaluation index of the distributed energy demand of each target power user by using a principal component analysis algorithm.
In the specific execution of step S103, an evaluation index of the distributed energy demand of each target power generation party may be calculated using a principal component analysis algorithm; and calculating an evaluation index of the distributed energy demand of each target power consumer by using a principal component analysis algorithm.
The principal component analysis is a mathematical transformation method that converts a given set of related variables into another set of uncorrelated variables by linear transformation, the new variables being arranged in order of decreasing variance. The total variance of the variables is kept constant in the mathematical transformation such that the first variable has the greatest variance, referred to as the first principal component, and the second variable has the second greatest variance, and is uncorrelated with the first variable, referred to as the second principal component. By analogy, K variables have K principal components.
The process of calculating the evaluation index of the target distributed energy demand using the principal component analysis algorithm may be: and (3) performing matrix transposition on the m-dimensional target distributed energy demand, and arranging X into m row vectors according to rows, namely representing m original variables, as shown in a formula (2). Subsequently, x= [ X 1 ,X 2 ,...,X m ] T Performing analysis operation to obtain a linear independent variable Y= [ Y ] 1 ,Y 2 ,...,Y m ] T As shown in formula (3). The target distributed energy requirement may be a target power generation side distributed energy requirement or a target power consumer distributed energy requirement.
Wherein the method comprises the steps ofAnd, make Y 1 ,Y 2 ,...,Y m Is linear independent and their variance is as large as possible, and the respective eigenvalues beta are calculated 1 ,β 2 ,...,β m For subsequent use, Y 1 ,Y 2 ,...,Y m Satisfy formula (4) and formula (5):
COV(Y i ,Y j )＝0i≠j；i,j＝1,2,...,m (4)
Var(Y 1 )≥Var(Y 2 )≥...≥Var(Y k ) (5)
wherein the variable Y 1 Is the largest variance among all linear transformations of X; y is Y 2 Is with Y 1 The variance is the largest in all linear transformations of uncorrelated X; generally, Y i Is with Y 1 ,Y 2 ,...,Y i-1 (i=1, 2,., m) the variance is the largest in all linear transformations of X that are uncorrelated; this is referred to as Y respectively 1 ,Y 2 ,...,Y m The first main component, the second main component, … and the mth main component of X.
Further, principal component screening is performed on the linearly independent variable Y so that the data represented by the original variable can be represented by a small number of linearly independent variables (e.g., Y 1 ,Y 2 ,...,Y k ) And (3) representing. On the basis, the characteristic value is utilized to obtain the weighting score of each target distributed energy demand, and the weighting score is used as a transaction matching basis. Wherein k is less than m.
The kth principal component Y k The variance contribution ratio is defined as Y k The ratio of the variance of (a) to the sum of all variances is denoted as eta k The formula is:
k principal components Y 1 ,Y 2 ,...,Y k Is defined as the ratio of the sum of k variances to the sum of all variances:
determining each principal component Y by taking k so that the cumulative variance contribution rate is a preset contribution rate 1 ,Y 2 ,...,Y k . Wherein, the value range of the preset contribution rate can be 0-100%. Regarding the specific value of the preset contribution rate, the inventor can select according to the actual requirement, and the embodiment of the application is not limited.
After obtaining k principal components, the principal components are obtained by using respective characteristic values beta i For the weight, a comprehensive evaluation function ψ of the target distributed energy demand is set up as a final evaluation index as shown in formula (8).
ψ＝β 1 Y 1 +β 2 Y 2 +...+β k Y k (8)。
S104: sequencing the distributed energy demands of each target power generation party according to the evaluation index of the distributed energy demands of each target power generation party to obtain a power purchase demand sequence, and sequencing the distributed energy demands of each target power user according to the evaluation index of the distributed energy demands of each target power user to obtain a power selling demand sequence.
In the specific execution of step S104, after calculating the evaluation index corresponding to the distributed energy demand of each target power consumer, and after calculating the evaluation index corresponding to the distributed energy demand of each target power generation party, the intelligent contract may be utilized to sort the distributed energy demands of each target power consumer from high to low according to the evaluation index of the distributed energy demand of each target power generation party, so as to obtain a power purchase demand sequence; and ordering the distributed energy demands of all the target power generation parties from low to high according to the evaluation indexes of the distributed energy demands of all the target power users by utilizing the intelligent contracts to obtain a power selling demand sequence.
When there is a target power consumer distributed energy demand or a target power generator distributed energy demand with the same evaluation index, the transaction prices in the target power consumer distributed energy demand or the target power generator distributed energy demand may be prioritized according to the priority.
It should be further noted that the obtained electricity purchasing demand sequence includes distributed energy demands of each target electric power user and corresponding serial numbers thereof; the obtained electricity selling requirement sequence comprises distributed energy requirements of each target power generation party and corresponding serial numbers.
S105: and matching the distributed energy demands of the target power generation party and the distributed energy demands of the target power users with the same serial numbers in the electricity selling demand sequence and the electricity purchasing demand sequence in sequence, and determining at least one target distributed energy demand group successfully matched.
In the specific execution of step S105, the difference between the transaction price in the distributed energy demand of the target power generation party and the transaction price in the distributed energy demand of the target power consumer with the same serial number in the electricity selling demand sequence and the electricity purchasing demand sequence may be sequentially calculated; if the difference value between the transaction price in the target power generation side distributed energy demands with the same serial number and the transaction price in the target power consumer distributed energy demands is greater than or equal to zero, determining that the target power generation side distributed energy demands with the same serial number and the target power consumer distributed energy demands are successfully matched; the successfully matched target power generation side distributed energy demand and the target power user distributed energy demand are determined to be a target distributed energy demand group
Specifically, the distributed energy requirements of the target power users and the distributed energy requirements of the target power users with the same serial numbers in the electricity selling requirement sequence and the electricity purchasing requirement sequence can be divided into a distributed energy requirement group according to the serial numbers from small to large.
And aiming at each distributed energy demand group, matching the target power generation side distributed energy demand with the target power user distributed energy demand, judging whether the difference value between the target power generation side distributed energy demand and the target power user distributed energy demand is greater than or equal to zero, and if the difference value between the target power generation side distributed energy demand and the target power user distributed energy demand is greater than or equal to zero, determining that the target power generation side distributed energy demand and the target power user distributed energy demand are successfully matched, so that the distributed energy demand group can be determined as the target distributed energy demand group.
In the embodiment of the application, in the matching process, if the actual generated energy of the distributed energy power generation is smaller than the contract electric quantity (the transaction electric quantity in the distributed transaction request of the power generation party), the distributed energy power generation purchases electricity to the power grid, and the purchased electricity is sold to the user; if the actual power generation amount of the distributed energy power generator is larger than the contract power (the transaction power in the power generator distributed transaction request), the distributed energy power generator sells the residual power generation amount to the power grid. If the actual electricity consumption of the user is smaller than the contract electricity consumption (the transaction electricity consumption in the distributed transaction request of the power user), the user sells the residual electricity consumption to a power grid; if the actual electricity consumption of the user is greater than the contract electricity consumption (the transaction electricity consumption in the distributed transaction request of the power user), the user purchases the extra needed electricity consumption from the power grid.
S106: and determining the market price of each target distributed energy demand group by utilizing the transaction price in each target distributed energy demand group.
In the process of specifically executing step S106, after obtaining at least one set of target distributed energy demand groups, an average value of the transaction price in the target power generation side distributed energy demand and the transaction price in the target power consumer distributed energy demand in the last successfully matched target distributed energy demand group may be calculated, and the calculated average value is determined as the market price.
In the embodiment of the application, after the market price is determined, corresponding signature requests can be sent to the power user and the power generator so that the power user and the power generator sign the transaction matching result.
S107: when it is detected that the power consumer and the power generator use the smart contract to digitally sign each target set of distributed energy requirements, they and the corresponding market price are uploaded to the blockchain.
In the process of specifically executing step S107, when it is detected that the power consumer and the power generator digitally sign each target distributed energy demand group using the smart contract, each target distributed energy demand group and the market price after the digital signature are uploaded to the blockchain.
The invention provides a distributed energy demand processing method based on a block chain, which is used for acquiring distributed energy demands of a plurality of power generation parties and distributed energy demands of a plurality of power users in a preset time period; processing the power generation side distributed energy demand and the power user distributed energy demand by utilizing a maximum-minimum standardized algorithm, and storing the obtained target power generation side distributed energy demand and target power user distributed energy demand into a block chain; calculating an evaluation index of the distributed energy demand of each target power generation party and an evaluation index of the distributed energy demand of each target power user by using a principal component analysis algorithm; sequencing the distributed energy demands of each target power generation party according to the evaluation index of the distributed energy demands of each target power generation party to obtain a power purchase demand sequence, and sequencing the distributed energy demands of each target power user according to the evaluation index of the distributed energy demands of each target power user to obtain a power selling demand sequence; sequentially matching the distributed energy demands of the target power generation party and the distributed energy demands of the target power users with the same serial numbers in the electricity selling demand sequence and the electricity purchasing demand sequence, and determining at least one target distributed energy demand group successfully matched; determining market price of each target distributed energy demand group by utilizing the transaction price in each target distributed energy demand group; when detecting that the power consumer and the power generator use the intelligent contract to digitally sign each target distributed energy demand group, uploading the digital signature and the corresponding market price to the block. The technical scheme provided by the invention can eliminate the business audit related in the existing energy demand flow and the link of manually collecting the transaction demands, thereby not only reducing the manual workload, saving the manpower resources, but also reducing the operation cost and improving the transaction matching efficiency.
Corresponding to the above-described method for processing a distributed energy demand based on a blockchain according to the embodiment of the present invention, the embodiment of the present invention further provides a device for processing a distributed energy demand based on a blockchain, as shown in fig. 2, where the device for processing a distributed energy demand based on a blockchain includes:
a demand acquisition unit 21, configured to acquire a plurality of power generation party distributed energy demands and a plurality of power consumer distributed energy demands within a preset period of time;
a processing unit 22, configured to process the power generation side distributed energy requirement and the power consumer distributed energy requirement by using a maximum-minimum standardization algorithm, and store the obtained target power generation side distributed energy requirement and target power consumer distributed energy requirement into a blockchain;
an evaluation index calculation unit 23 for calculating an evaluation index of the distributed energy demand of each target power generation party and an evaluation index of the distributed energy demand of each target power consumer using a principal component analysis algorithm;
the ranking unit 24 is configured to rank the distributed energy requirements of each target power generation party according to the evaluation index of the distributed energy requirements of each target power generation party, obtain a power purchase requirement sequence, and rank the distributed energy requirements of each target power consumer according to the evaluation index of the distributed energy requirements of each target power consumer, so as to obtain a power selling requirement sequence;
The matching unit 25 is configured to match, in the electricity selling demand sequence and the electricity purchasing demand sequence, the target power generation side distributed energy demand and the target power consumer distributed energy demand with the same sequence number in sequence, and determine at least one target distributed energy demand group that is successfully matched;
a market price determining unit 26 for determining a market price for each target distributed energy demand group using the trading prices in each target distributed energy demand group;
an uploading unit 27 for uploading each target set of distributed energy requirements and corresponding market price to the blockchain when it is detected that the power consumer and the generator digitally sign it using the smart contract.
The specific principle and execution process of each unit in the blockchain-based distributed energy demand processing apparatus disclosed in the above embodiment of the present invention are the same as those in the blockchain-based distributed energy demand processing method disclosed in fig. 1 of the above embodiment of the present invention, and reference may be made to the corresponding parts in the blockchain-based distributed energy demand processing method disclosed in fig. 1 of the above embodiment of the present invention, and no further description is given here.
The invention provides a distributed energy demand processing device based on a block chain, which is used for acquiring distributed energy demands of a plurality of power generation parties and distributed energy demands of a plurality of power users in a preset time period; processing the power generation side distributed energy demand and the power user distributed energy demand by utilizing a maximum-minimum standardized algorithm, and storing the obtained target power generation side distributed energy demand and target power user distributed energy demand into a block chain; calculating an evaluation index of the distributed energy demand of each target power generation party and an evaluation index of the distributed energy demand of each target power user by using a principal component analysis algorithm; sequencing the distributed energy demands of each target power generation party according to the evaluation index of the distributed energy demands of each target power generation party to obtain a power purchase demand sequence, and sequencing the distributed energy demands of each target power user according to the evaluation index of the distributed energy demands of each target power user to obtain a power selling demand sequence; sequentially matching the distributed energy demands of the target power generation party and the distributed energy demands of the target power users with the same serial numbers in the electricity selling demand sequence and the electricity purchasing demand sequence, and determining at least one target distributed energy demand group successfully matched; determining market price of each target distributed energy demand group by utilizing the transaction price in each target distributed energy demand group; when it is detected that the power consumer and the power generator digitally sign each target set of distributed energy requirements using an intelligent contract, they and the corresponding market price are uploaded to the blockchain. The technical scheme provided by the invention can eliminate the business audit related in the existing energy demand flow and the link of manually collecting the transaction demands, thereby not only reducing the manual workload, saving the manpower resources, but also reducing the operation cost and improving the transaction matching efficiency.
Optionally, the matching unit includes:
the calculating unit is used for sequentially calculating the difference value of the transaction price in the distributed energy demand of the target power generation party and the transaction price in the distributed energy demand of the target power consumer, wherein the serial numbers of the transaction price in the distributed energy demand of the target power generation party are the same in the electricity selling demand sequence and the electricity purchasing demand sequence;
the matching subunit is used for determining that the matching of the target power generation side distributed energy demands with the same serial numbers and the target power user distributed energy demands is successful if the difference value between the transaction price in the target power generation side distributed energy demands with the same serial numbers and the transaction price in the target power user distributed energy demands is greater than or equal to zero;
and the determining unit is used for determining the successfully matched target power generation side distributed energy demand and the target power user distributed energy demand as a target distributed energy demand group.
Optionally, the sorting unit includes:
the first sequencing subunit is used for sequencing the distributed energy demands of all target power users from high to low according to the evaluation indexes of the distributed energy demands of all target power generation parties by utilizing an intelligent contract to obtain a power purchasing demand sequence;
and the second sequencing subunit is used for sequencing the distributed energy demands of all the target power generation parties from low to high according to the evaluation indexes of the distributed energy demands of all the target power users by utilizing the intelligent contract to obtain an electricity selling demand sequence.
Optionally, the processing unit includes:
the first normalization processing unit is used for respectively performing normalization processing on the distributed energy demands of the power generation party by adopting a maximum-minimum normalization algorithm to obtain the distributed energy demands of the target power generation party, and storing the distributed energy demands of the target power generation party into a blockchain by utilizing an intelligent contract;
and the second normalization processing unit is used for respectively carrying out normalization processing on the distributed transactions of the power users by adopting a maximum-minimum normalization algorithm to obtain the distributed energy demands of the target power users, and storing the distributed energy demands of the target power users into the blockchain by utilizing an intelligent contract.
Optionally, the market price determining unit includes:
the average value calculation unit is used for calculating the average value of the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand in the target distributed energy demand group aiming at each target distributed energy demand group;
and the market clearing price determining subunit is used for determining the average value as the market clearing price of the target distributed energy demand.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein elements illustrated as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (6)
1. A method for processing distributed energy requirements based on a blockchain, the method comprising:
acquiring distributed energy requirements of a plurality of power generation parties and distributed energy requirements of a plurality of power users in a preset time period; the distributed energy demand comprises trade price, trade electric quantity, time benefit, liveness and credit value;
processing the power generation side distributed energy requirement and the power user distributed energy requirement by using a maximum-minimum standardized algorithm, and storing the obtained target power generation side distributed energy requirement and target power user distributed energy requirement into a blockchain;
calculating an evaluation index of the distributed energy demand of each target power generation party and an evaluation index of the distributed energy demand of each target power consumer by using a principal component analysis algorithm;
calculating an evaluation index of each target distributed energy demand using the principal component analysis algorithm, comprising: performing matrix transposition on the target distributed energy demand, and performing analysis operation on the target distributed energy demand subjected to matrix transposition to obtain a linear independent variable corresponding to the target distributed energy demand; performing principal component screening on the linear independent variables corresponding to the target distributed energy demands to obtain K linear independent variables capable of reflecting all variable data; calculating variance contribution rates of K linear independent variables, and accumulating the variance contribution rates of the K linear independent variables to obtain accumulated variance contribution rates; determining K principal components corresponding to the K linear independent variables according to the accumulated variance contribution rate; taking the characteristic values of the K main components as weights, setting up a comprehensive evaluation function of the target distributed energy demand, and taking the comprehensive evaluation function of the target distributed energy demand as an evaluation index of the target distributed energy demand; the target distributed energy demand is the target power generation side distributed energy demand or the target power consumer distributed energy demand;
Sequencing the distributed energy demands of each target power generation party according to the evaluation index of the distributed energy demands of each target power generation party to obtain a power purchase demand sequence, and sequencing the distributed energy demands of each target power user according to the evaluation index of the distributed energy demands of each target power user to obtain a power selling demand sequence;
and sequentially matching the target power generation side distributed energy requirements and the target power user distributed energy requirements with the same sequence number in the electricity selling requirement sequence and the electricity purchasing requirement sequence, and determining at least one target distributed energy requirement group successfully matched, wherein the method comprises the following steps: sequentially calculating the difference value of the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand, wherein the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand are the same in sequence in the electricity selling demand sequence and the electricity purchasing demand sequence; if the difference value between the transaction price in the target power generation side distributed energy demand and the transaction price in the target power consumer distributed energy demand with the same serial number is greater than or equal to zero, determining that the target power generation side distributed energy demand with the same serial number and the target power consumer distributed energy demand are successfully matched; determining the successfully matched distributed energy demand of the target power generation party and the successfully matched distributed energy demand of the target power consumer as a target distributed energy demand group;
Calculating an average value of the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand in the target distributed energy demand group according to each target distributed energy demand group;
determining the average value as a market price for the target distributed energy demand;
when it is detected that the power consumer and the power generator digitally sign each of the target distributed energy demand groups using an intelligent contract, uploading it and the corresponding market price to the blockchain.
2. The method of claim 1, wherein the ranking the target power generation side distributed energy demands according to the evaluation index of each target power generation side distributed energy demand to obtain a power purchase demand sequence, and the ranking the target power consumer distributed energy demands according to the evaluation index of each target power consumer distributed energy demand to obtain a power selling demand sequence, comprises:
sequencing the distributed energy demands of the target power users from high to low according to the evaluation indexes of the distributed energy demands of the target power generation parties by utilizing intelligent contracts to obtain a power purchasing demand sequence;
And sequencing the distributed energy demands of all the target power generation parties from low to high according to the evaluation indexes of the distributed energy demands of all the target power users by utilizing the intelligent contract to obtain the electricity selling demand sequence.
3. The method of claim 1, wherein the processing the power generation side distributed energy demand and the power consumer distributed energy demand with the max-min normalization algorithm and storing the resulting target power generation side distributed energy demand and target power consumer distributed energy demand to a blockchain, respectively, comprises:
carrying out normalization processing on the power generation side distributed energy demands by adopting a maximum-minimum normalization algorithm to obtain target power generation side distributed energy demands, and storing the target power generation side distributed energy demands into a blockchain by utilizing an intelligent contract;
and respectively carrying out normalization processing on the distributed transactions of the power users by adopting the maximum-minimum normalization algorithm to obtain the distributed energy demands of the target power users, and storing the distributed energy demands of the target power users into a blockchain by utilizing the intelligent contract.
4. A blockchain-based distributed energy demand processing device, the device comprising:
The demand acquisition unit is used for acquiring distributed energy demands of a plurality of power generation parties and distributed energy demands of a plurality of power users in a preset time period; the distributed energy demand comprises trade price, trade electric quantity, time benefit, liveness and credit value;
the processing unit is used for respectively processing the power generation side distributed energy requirement and the power user distributed energy requirement by utilizing a maximum-minimum standardized algorithm and storing the obtained target power generation side distributed energy requirement and target power user distributed energy requirement into a block chain;
the evaluation index calculation unit is used for calculating an evaluation index of the distributed energy demand of each target power generation party and an evaluation index of the distributed energy demand of each target power consumer by using a principal component analysis algorithm;
calculating an evaluation index of each target distributed energy demand using the principal component analysis algorithm, comprising: performing matrix transposition on the target distributed energy demand, and performing analysis operation on the target distributed energy demand subjected to matrix transposition to obtain a linear independent variable corresponding to the target distributed energy demand; performing principal component screening on the linear independent variables corresponding to the target distributed energy demands to obtain K linear independent variables capable of reflecting all variable data; calculating variance contribution rates of K linear independent variables, and accumulating the variance contribution rates of the K linear independent variables to obtain accumulated variance contribution rates; determining K principal components corresponding to the K linear independent variables according to the accumulated variance contribution rate; taking the characteristic values of the K main components as weights, setting up a comprehensive evaluation function of the target distributed energy demand, and taking the comprehensive evaluation function of the target distributed energy demand as an evaluation index of the target distributed energy demand; the target distributed energy demand is the target power generation side distributed energy demand or the target power consumer distributed energy demand;
The sequencing unit is used for sequencing the distributed energy demands of each target power generation party according to the evaluation index of the distributed energy demands of each target power generation party to obtain a power purchase demand sequence, and sequencing the distributed energy demands of each target power user according to the evaluation index of the distributed energy demands of each target power user to obtain a power selling demand sequence;
the matching unit is used for sequentially matching the target power generation side distributed energy requirements and the target power user distributed energy requirements with the same sequence number in the electricity selling requirement sequence and the electricity purchasing requirement sequence, and determining at least one target distributed energy requirement group successfully matched;
the matching unit includes: the device comprises a computing unit, a matching subunit and a determining unit;
the calculating unit is used for sequentially calculating the difference value of the transaction price in the distributed energy demand of the target power generation party and the transaction price in the distributed energy demand of the target power consumer, wherein the serial numbers of the transaction price in the distributed energy demand of the target power generation party are the same in the electricity selling demand sequence and the electricity purchasing demand sequence;
the matching subunit is configured to determine that the matching between the target power generation side distributed energy demand and the target power consumer distributed energy demand with the same serial number is successful if the difference between the transaction price in the target power generation side distributed energy demand with the same serial number and the transaction price in the target power consumer distributed energy demand is greater than or equal to zero;
The determining unit is used for determining the target power generation side distributed energy demand and the target power user distributed energy demand which are successfully matched as a target distributed energy demand group;
a market clearing price determining unit comprising: an average value calculation unit and a market clearing price determination subunit;
the average value calculating unit is used for calculating the average value of the transaction price in the target power generation side distributed energy demand and the transaction price in the target power user distributed energy demand in the target distributed energy demand group according to each target distributed energy demand group;
the market price determining subunit is configured to determine the average value as a market price of the target distributed energy demand;
and the uploading unit is used for uploading the target distributed energy demand groups and the corresponding market clear prices to the block chain when detecting that the power users and the power generators use intelligent contracts to digitally sign each target distributed energy demand groups.
5. The apparatus of claim 4, wherein the ranking unit comprises:
the first sequencing subunit is used for sequencing the distributed energy demands of the target power users from high to low according to the evaluation indexes of the distributed energy demands of the target power generation parties by utilizing an intelligent contract to obtain a power purchasing demand sequence;
And the second sequencing subunit is used for sequencing the distributed energy demands of the target power generation parties from low to high according to the evaluation indexes of the distributed energy demands of the target power users by utilizing the intelligent contract to obtain the electricity selling demand sequence.
6. The apparatus of claim 4, wherein the processing unit comprises:
the first normalization processing unit is used for respectively performing normalization processing on the power generation side distributed energy demands by adopting a maximum-minimum normalization algorithm to obtain target power generation side distributed energy demands, and storing the target power generation side distributed energy demands into a block chain by utilizing an intelligent contract;
and the second normalization processing unit is used for respectively carrying out normalization processing on the distributed transactions of the power users by adopting the maximum-minimum normalization algorithm to obtain the distributed energy demands of the target power users, and storing the distributed energy demands of the target power users into a blockchain by utilizing the intelligent contract.
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