An intelligent power transaction method and system based on blockchain technology

Abstract

The present application relates to the technical field of block chain, and in particular to a kind of intelligent electric power transaction method and system based on block chain technology, the problem solved by the present application: in new power system, how to use block chain technology to improve the fairness, real-time performance and efficiency of distributed energy transaction problem, the present application provides a kind of intelligent electric power transaction method, comprising: setting up in power transaction platform pledge transaction mode, sell future power generation by pledge transaction mode;Power transaction platform audits the selling data uploaded by the seller according to the pledge rule;The selling data and the audit record after being audited are stored to target block chain, and the initial pledge price of selling data is calculated according to market dynamics and energy attribute;Determine the selectable selling mode corresponding to selling data according to initial premium rate;According to the transaction process of the transaction node to selling data is audited, until the transaction process ends.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of blockchain technology, in particular to a smart power transaction method and system based on blockchain technology. BACKGROUND

[0002] The new power system is based on the high integration of modern information technology, intelligent control and distributed energy, aiming to improve the reliability, economy, flexibility and sustainability of the power system. Distributed energy refers to the way of generating electricity near users through small-scale, decentralized energy production facilities. With the rapid development of renewable energy technology and the promotion of environmental protection policies, distributed energy has been widely used across the country and has gradually become a key pillar of the new power system. With the increasing proportion of distributed energy in the power system, the competition in the power market is becoming more and more fierce, and the traditional centralized power dispatching system often relies on predetermined plans and static market structures, which cannot cope with the dynamic fluctuations of distributed energy. And with the rapid popularization of renewable energy, the traditional centralized power trading mode has been unable to meet market demand.

[0003] Blockchain is a decentralized distributed ledger technology that links data in the form of blocks to form an unalterable chain. Distributed energy resources can be shared and traded through blockchain technology. Through smart contracts, the sharing and cooperation of distributed energy resources can be realized, making energy production and consumption more sustainable and efficient. However, how to improve the fairness, real-time and efficiency of distributed energy trading through blockchain technology is still a key problem to be solved. SUMMARY

[0004] The problem solved by the present application: in the new power system, how to use blockchain technology to improve the fairness, real-time and efficiency of distributed energy trading.

[0005] To solve the above problems, the embodiment of the present application provides a kind of intelligent power transaction method based on block chain technology, intelligent power transaction method includes: in power transaction platform, set up pledge transaction mode, sell future power generation by pledge transaction mode;When seller uploads sell data to power transaction platform, power transaction platform audits sell data according to pledge rule;When sell data passes the audit, store sell data and audit record in target block chain, calculate the initial pledge price of sell data according to market dynamics and energy attribute;According to the expected pledge price of seller and initial pledge price, calculate the initial premium rate of sell data;According to initial premium rate, determine the optional sell mode corresponding to sell data;Buyer selects target sell mode from optional sell mode, determines the transaction process and transaction node of sell data according to target sell mode;According to transaction node, the transaction process of sell data is audited, until the end of transaction process.

[0006] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: the power transaction platform manages power transaction by digitization, simplifies the process of power buying and selling, improves transaction efficiency and transparency, the determination of pledge transaction mode ensures the transaction commitment of both parties, enhances the credibility of power transaction, so as to ensure the smooth progress of transaction, the determination of future power generation helps the power transaction platform to accurately schedule and match resources, ensures the balance between power supply and demand, improves transaction efficiency, the audit of sell data helps to ensure the authenticity and effectiveness of transaction, the pledge rule can ensure the transparency and fairness of power transaction process, avoid false transaction or non-compliance, the on-chain of audit record enhances the supervision transparency in power transaction platform, ensures the legality of transaction, by storing transaction data in target block chain, it can effectively reduce the risk of transaction data loss and tampering, the calculation of initial pledge price fully considers the influence of market dynamics and energy attribute on power transaction price, so as to ensure that initial pledge price can be more reasonable and fair, the calculation of initial premium rate fully considers the difference between expected pledge price and initial pledge price, which helps buyers to select appropriate sell mode to purchase sell data, improves the rationality and flexibility of transaction, the record of transaction node and transaction process helps to manage transaction process in detail, ensures the compliance and transparency of each link, reduces potential transaction risk.

[0007] In an embodiment of the present application, when the seller uploads the selling data to the power transaction platform, the power transaction platform audits the selling data according to the pledge rule, specifically including: determining whether the authorized identity of the selling data conforms to the management identity of the selling unit through an identity verification mechanism; if so, obtaining the pledge duration of the selling data, and evaluating the operation state of the selling unit to obtain the stable operation duration of the selling unit; when the stable operation duration is greater than or equal to the pledge duration, the selling data is recorded as valid data; the valid data is verified through a hash value matching mechanism, when the valid data passes the hash value matching mechanism, the valid data is recorded as real data, and when the valid data does not pass the hash value matching mechanism, the selling data is returned to the selling unit.

[0008] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: the setting of the identity verification mechanism can prevent unauthorized personnel from uploading data and participating in transactions, ensuring the credibility of the transaction subject, thereby effectively improving the security and effectiveness of the transaction, the setting of the authorized identity clearly defines the responsibility subject of the transaction, which helps the behavior traceability on the target blockchain, meets the regulatory compliance, the hierarchical design of the management identity further strengthens the platform supervision capability, different permissions of the selling data are allocated to different levels of management accounts, which not only avoids the risk of internal personnel exceeding their authority, but also significantly reduces the possibility of data leakage or misoperation, the pledge duration limits the timeliness of the transaction, avoiding the risk of redemption caused by unlimited commitment, the evaluation of the operation state helps to judge whether the selling unit has sufficient ability and stability, ensuring the reliability of the selling data, the calculation of the stable operation duration helps to filter valid data, and the real data confirmed through the hash value matching mechanism provides a reliable information basis for the power transaction platform, which helps to improve the transparency and credibility of the power transaction platform.

[0009] In an embodiment of the present application, when the selling data passes the audit, the selling data and the audit record are stored to the target blockchain, and the initial pledge price of the selling data is calculated according to the market dynamics and the energy attribute, specifically including: classifying the selling data according to the energy attribute to obtain single-energy data and multi-energy data; when the selling data is single-energy data, obtaining the target energy in the single-energy data, and calculating the initial pledge price according to the market price of the target energy; when the selling data is multi-energy data, obtaining each unit energy in the multi-energy data, and calculating the initial pledge price according to the correlation degree between the unit energies.

[0010] Compared with the prior art, the technical effects achieved by the technical scheme are that the division of single-energy data and multi-energy data fully considers the influence of energy properties, so that the calculation of the initial pledge price is more accurate and efficient, the market price reflects the basic value of the energy type and the supply-demand relationship, provides a clear pricing benchmark for the initial pledge price, the correlation degree reflects the relationship between each unit energy in the multi-energy data and the demand of the buyer, which helps to improve the calculation accuracy of the initial pledge price, thereby improving the transparency and fairness of the transaction.

[0011] In an embodiment of the present application, when the selling data is single-energy data, the target energy in the single-energy data is obtained, and the initial pledge price is calculated according to the market price of the target energy, specifically including: obtaining the target device generating the target energy and the historical working data of the target device; calculating the theoretical production of the target energy within the pledge duration according to the historical working data; calculating the theoretical supply-demand ratio in different transaction time periods according to the smart contract and the theoretical production, and obtaining the historical supply-demand ratio corresponding to the theoretical supply-demand ratio; calculating the adjustment coefficient according to the historical supply-demand ratio and the historical transaction price corresponding to the historical supply-demand ratio; and calculating the initial pledge price according to the adjustment coefficient and the market price.

[0012] Compared with the prior art, the technical effects achieved by the technical scheme are that the determination of the target device helps to obtain the historical working data, which provides an actual basis for calculating the production capacity of the target device and provides a reliable basis for calculating the theoretical production of the selling unit, the division of the transaction time period fully considers the influence of the electricity consumption behavior mode of the buyer on the transaction price, which helps to more accurately calculate the power supply-demand change in different time periods, so that the power transaction platform can adjust the initial pledge price according to the actual market demand fluctuation, the prediction of the theoretical supply-demand ratio fully considers the influence of the transaction time period on the power supply-demand change, so as to more accurately predict the possible supply-demand situation in the transaction time period, which helps to better perform pricing adjustment and risk assessment, the comparison of the historical supply-demand ratio and the theoretical supply-demand ratio can identify the supply-demand imbalance risk in advance, and the adjustment coefficient reflects the influence of the supply-demand relationship on the market price fluctuation, so that the initial pledge price can be reasonably adjusted according to the real-time market situation through the adjustment coefficient, ensuring the accuracy of the pricing and the fairness of the market.

[0013] In an embodiment of the present application, when the selling data is multi-energy data, each unit energy in the multi-energy data is obtained, and the initial pledge price is calculated according to the correlation degree between the unit energies, specifically including: calculating a target pledge price according to the market price corresponding to each unit energy; determining a first combination coefficient according to the number of unit energies, and determining a second combination coefficient according to the correlation degree between each unit energy; and calculating the initial pledge price according to the first combination coefficient, the second combination coefficient and the target pledge price.

[0014] Compared with existing technologies, the technical effects achieved by adopting this technical solution are as follows: The target collateral price reflects the independent market price of a unit of energy, providing a pricing benchmark for the initial collateral price of multi-energy data. The calculation of the first combination coefficient quantifies the quantity and proportion of each unit of energy in the multi-energy data, thereby reflecting the different degrees of influence of each unit of energy on the initial collateral price. The calculation of the second combination coefficient fully considers the synergistic effect and market value correlation between different units of energy in the multi-energy combination. By quantifying the complementarity, substitutability and demand-side matching degree between energy, the pricing rationality of multi-energy transactions is significantly improved.

[0015] In one embodiment of the present invention, the optional sales method corresponding to the sales data is determined according to the initial premium rate, specifically including: when the initial premium rate is less than or equal to the premium threshold, the buyer can only purchase the sales data through the normal sales method; when the initial premium rate is greater than the premium threshold, the buyer can select one from the normal sales method and the phased sales method.

[0016] Compared with existing technologies, the technical effects achieved by adopting this solution are as follows: setting a premium threshold can ensure that the price and risk of the sales data are reasonably controlled, and prevent buyers from choosing inappropriate transaction methods due to high premiums, thereby improving the stability and rationality of transactions. The diversified choice of ordinary sales methods and staged sales methods provides buyers with more flexibility, especially when market prices fluctuate greatly. Buyers can adjust the transaction progress according to the actual situation and reduce risks.

[0017] In one embodiment of the present invention, the buyer selects a target selling method from the optional selling methods, and determines the transaction process and transaction nodes of the selling data according to the target selling method. Specifically, this includes: when the buyer purchases selling data through the ordinary selling method, the buyer determines the transaction frequency, determines the number of transaction nodes based on the transaction frequency, and determines the time node corresponding to each transaction node based on the staking duration and transaction frequency; when the buyer purchases selling data through the staged selling method, the buyer determines the transaction node; calculates the premium coefficient based on the initial premium rate and staking duration, and determines whether the buyer can terminate the transaction early at each transaction node based on the premium coefficient and the current premium rate.

[0018] Compared with the prior art, the technical effects achieved by adopting the technical scheme are as follows: the transaction frequency reflects the electricity demand and the financial condition of the buyer, the determination of the transaction frequency helps the buyer to reasonably arrange the purchase strategy and the power supply plan, improves the transaction efficiency, the transaction node clearly divides the execution standard and the time point of each transaction event, ensures that the transaction process is orderly and controllable, reduces the uncertainty and the dispute in the transaction process, the time node ensures that the transaction is executed according to the predetermined schedule, avoids the confusion caused by the unclear time, ensures the transparency and the timeliness of the transaction, and the premium coefficient fully considers the influence of the market price dynamics on the initial premium rate, ensures that the buyer can timely adjust the transaction strategy under the adverse conditions, and avoids the loss caused by the fluctuation of the market price.

[0019] In an embodiment of the present application, the transaction process of the selling data at the transaction node is audited until the end of the transaction process, specifically including: when the buyer purchases the selling data through the stage selling mode, the supply data of each transaction node seller is acquired for auditing, and when the supply of each transaction node is completed, the transaction process ends; when the buyer purchases the selling data through the stage selling mode, the real-time premium rate of the selling data is calculated at each transaction node; whether the real-time premium rate meets the transaction rule is judged according to the initial premium rate and the premium coefficient; if yes, the transaction process continues, and if no, a transaction termination notice is sent to the buyer, and when the buyer terminates the transaction process in advance or each transaction node completes the auditing, the transaction process ends.

[0020] Compared with the prior art, the technical effects achieved by adopting the technical scheme are as follows: the on-chain auditing of the supply data ensures the transparency and the accuracy of the transaction by verifying the matching degree of the power generation and the pledged power of the seller in real time, avoids the transaction dispute caused by the inconsistent supply, the real-time premium rate can reflect the dynamic change of the market price in real time, provides a real-time decision basis for the buyer, balances the risk and the income of the buyer and the seller, enhances the market stability, the transaction rule provides an explicit operation framework for the transaction parties, reduces the uncertainty and the dispute in the transaction, and improves the transaction efficiency.

[0021] In an embodiment of the present application, an intelligent power transaction system is also provided, the intelligent power transaction method described in the above embodiment is applied to the intelligent power transaction system, and the real-time intelligent power transaction system includes: an auditing module, the auditing module of the power transaction platform is used for auditing the selling data according to the pledge rule; a storage module, the storage module is used for storing the selling data and the auditing record to a target block chain; a calculation module, the calculation module is used for calculating the initial premium rate of the selling data; and a selection module, the selection module is used for allowing the buyer to select a target selling mode from the selectable selling modes, the intelligent power transaction system has all the technical features of the intelligent power transaction method, and details are not repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 Figure 1 is a flowchart of the intelligent power transaction method;

[0023] Figure 2 Figure 2 is a flowchart of the intelligent power transaction method;

[0024] Figure 3 Figure 3 is a flowchart of the intelligent power transaction method;

[0025] Figure 4 Figure 4 is a flowchart of the intelligent power transaction method;

[0026] Figure 5 Figure 5 is a system schematic diagram of the intelligent power transaction system;

[0027] BRIEF DESCRIPTION OF DRAWINGS

[0028] 100 - power transaction system; 110 - review module; 120 - storage module; 130 - calculation module; 140 - selection module. DETAILED DESCRIPTION

[0029] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0030]

First embodiment

[0031] Reference is made to Figure 1 In one specific embodiment, the present application provides an intelligent power transaction method based on blockchain technology, the intelligent power transaction method comprising:

[0032] S100, setting a pledge transaction mode in a power transaction platform, and selling future power generation through the pledge transaction mode;

[0033] S200, after the seller uploads the selling data to the power transaction platform, the power transaction platform reviews the selling data according to the pledge rules;

[0034] S300, after the selling data passes the review, storing the selling data and the review record to a target blockchain, and calculating the initial pledge price of the selling data according to market dynamics and energy attributes;

[0035] S400, calculating the initial premium rate of the selling data according to the expected pledge price and the initial pledge price of the seller;

[0036] S500, determining the selectable selling mode corresponding to the selling data according to the initial premium rate;

[0037] S600, the buyer selects a target selling mode from the selectable selling mode, and determines the transaction process and transaction node of the selling data according to the target selling mode;

[0038] S700, auditing the transaction process of the transaction node to the selling data until the transaction process ends.

[0039] In step S100, the power transaction platform is an online system based on blockchain and smart contract technology, mainly used for power transactions between sellers and buyers. The pledge transaction mode refers to the way in which buyers and sellers trade future power on the power transaction platform according to the smart contract. The future power generation capacity is the power generation capacity that the seller can use for power transactions in the future time period based on the power generation capacity of the distributed energy source.

[0040] It should be noted that the power transaction between the buyer and the seller of the power transaction platform is not limited to the transaction of power generation capacity. It usually also includes the transaction of data related to power, energy use rights, and other resources or services related to power supply and demand. The transaction content can cover actual power supply, energy storage services, load management, green energy certificates, and other forms to meet the diverse needs of different markets and participants. Before the transaction in the power transaction platform through the pledge transaction mode, the buyer and the seller will prepay the pledge and the down payment to the escrow account in the power transaction platform according to the value of the future power on the smart contract. The pledge is usually provided by the seller as a guarantee for the power transaction, while the down payment is paid by the buyer as a deposit for the purchase of power. In addition, the power transaction platform will dynamically adjust the pledge and payment amounts according to market dynamics and contract conditions to adapt to the changes in actual transactions.

[0041] In steps S200 and S300, the seller refers to the subject that owns distributed energy and sells power, such as a household photovoltaic user and an energy storage power station. The selling data refers to the detailed data provided by the seller to the power transaction platform about the future power generation capacity, including energy type, power generation period, expected price, and power generation efficiency. The pledge rules are specific provisions made by the power transaction platform about the future power generation capacity and transaction qualifications of the seller according to market conditions and demand. The audit record is the on-chain evidence of the verification process and results of the selling data, usually including the hash value of the selling data, the audit timestamp, and the audit results. The target blockchain is a blockchain network designed specifically for the power transaction platform to store transaction data. The market dynamics refer to the comprehensive performance of various factors that affect the transaction value of future power generation capacity, usually including real-time changes in supply and demand, price fluctuations, policy changes, and other factors in the power market. The energy attribute refers to the type and characteristics of the distributed energy source that generates the pledged power, such as power generation cost and energy efficiency, which are key factors that affect the transaction price of future power generation capacity. The initial pledge price is the actual transaction price of future power generation capacity calculated based on the energy attributes of each distributed energy source and market dynamics.

[0042] It should be noted that the pledge rule specifies the conditions and standards that the seller needs to meet when conducting power transactions, which usually include the specific amount of future power generation, the seller's credit score, and the operation status.

[0043] In step S400, the expected pledge price is the theoretical transaction price of the future power calculated by the seller, and the initial premium rate is the proportion of the difference between the expected pledge price v e and the initial pledge price v i calculated by the power transaction platform, and the formula for calculating the initial premium rate r p is as follows:

[0044] r p =(v e -v i )÷v i .

[0045] In steps S500 to S700, the optional selling mode refers to the purchase mode of the selling data provided by the power transaction platform according to the premium rate, the target selling mode is the final transaction mode selected by the buyer from the optional selling mode, the transaction process refers to the complete steps from uploading the selling data to completing the transaction, including the processes of auditing, pricing, and confirmation, and the transaction node refers to the key node or step in the transaction process, i.e., the node responsible for a specific function in the blockchain network, such as the auditing node and the settlement node.

[0046] The power transaction platform simplifies the process of buying and selling electricity by digitally managing power transactions, improving transaction efficiency and transparency. The determination of the pledge transaction mode ensures the commitment of both buyers and sellers, enhancing the credibility of power transactions, thereby ensuring the smooth progress of transactions. The determination of future power generation helps the power transaction platform accurately schedule and match resources, ensuring the balance between power supply and demand, improving transaction efficiency, and the auditing of selling data helps ensure the authenticity and effectiveness of transactions. The pledge rule ensures transparency and fairness in the power transaction process, avoiding false transactions or non-compliance. The chaining of audit records enhances the regulatory transparency of the power transaction platform, ensuring the legality of transactions. By storing transaction data in the target blockchain, the risk of data loss and tampering can be effectively reduced. The calculation of the initial pledge price fully considers the impact of market dynamics and energy properties on power transaction prices, ensuring that the initial pledge price is more reasonable and fair. The calculation of the initial premium rate takes into account the difference between the expected pledge price and the initial pledge price, helping buyers choose the appropriate selling mode to purchase selling data, improving the rationality and flexibility of transactions. The recording of transaction nodes and transaction processes helps to manage the transaction process in detail, ensuring compliance and transparency at each link, and reducing potential transaction risks.

[0047] Second embodiment

[0048] Referring to Figure 2 In a specific embodiment, when the seller uploads the selling data to the power transaction platform, the power transaction platform audits the selling data according to the pledge rule, specifically including:

[0049] S210, determining whether the authorized identity of the selling data meets the management identity of the selling unit through an identity verification mechanism;

[0050] S220, if yes, obtaining the pledge duration of the selling data, and evaluating the operation state of the selling unit to obtain the stable operation duration of the selling unit;

[0051] S230, when the stable operation duration is greater than or equal to the pledge duration, the selling data is recorded as valid data;

[0052] S240, the valid data is verified through a hash value matching mechanism, when the valid data passes the hash value matching mechanism, the valid data is recorded as real data, when the valid data does not pass the hash value matching mechanism, the selling data is returned to the selling unit.

[0053] In steps S210 and S220, the identity verification mechanism is a technical means to ensure that the selling data uploaded by the seller comes from a legal authorized person. The identity verification mechanism usually compares the identity information of the uploader with the authorized information recorded by the system through identity authentication technologies such as digital certificate, biometric identification or multi-factor authentication, to confirm whether the uploader has the right to upload data. The authorized identity refers to the seller or unit authorized to upload data, usually refers to the legal power supplier or power transaction party. The selling unit refers to the unit or company of the seller providing the selling data. The management identity refers to the account with the right to submit, supervise or audit the selling data. The pledge duration refers to the effective time window corresponding to the future power generation promised by the selling unit when uploading data, i.e. the duration required for the selling unit to generate future power. The operation state refers to the actual operation situation of the selling unit in the future time period, including profit, risk management and power supply capacity, etc. The stable operation duration refers to the length of the future time period during which the selling unit can maintain continuous and stable operation state.

[0054] It should be noted that the authorization refers to the authenticated transaction permission identifier registered by the seller in the target blockchain, such as the public key and private key in the digital certificate. The stable operation duration is obtained by comprehensively evaluating the historical operation performance, financial health, market performance, technical innovation and equipment reliability of the selling unit.

[0055] In step S230 and step S240, the valid data refers to the selling data whose identity and operation audit are passed, that is, the identity and operation of the selling unit providing the selling data meet the requirements of the power transaction platform, and the real data refers to the valid data that is confirmed to be complete and unaltered after being verified by the hash value matching mechanism.

[0056] The setting of the identity verification mechanism can prevent unauthorized personnel from uploading data and participating in transactions, ensure the credibility of the transaction subject, and thus effectively improve the security and effectiveness of the transaction. The setting of the authorized identity clearly defines the responsible subject of the transaction, which helps to trace the behavior on the target blockchain, meets the regulatory compliance, and further strengthens the platform supervision ability by designing the permission hierarchy of the management identity. Different permissions of the selling data are allocated to different levels of management accounts, which not only avoids the risk of internal personnel exceeding their authority, but also significantly reduces the possibility of data leakage or misoperation. The pledge duration limits the timeliness of the transaction, avoiding the risk of redemption caused by unlimited commitment. The evaluation of the operation status helps to judge whether the selling unit has sufficient ability and stability to ensure the reliability of the selling data. The calculation of the stable operation duration helps to filter valid data. The real data confirmed by the hash value matching mechanism provides a reliable information basis for the power transaction platform, which helps to improve the transparency and credibility of the power transaction platform.

[0057]

Third embodiment

[0058] Referring to Figure 3 In a specific embodiment, when the selling data passes the audit, the selling data and the audit record are stored to the target blockchain, the initial pledge price of the selling data is calculated according to the market dynamics and energy attributes, which specifically includes:

[0059] S310, classifying the selling data according to energy attributes to obtain single-energy data and multi-energy data;

[0060] S320, when the selling data is single-energy data, obtaining a target energy in the single-energy data, and calculating the initial pledge price according to the market price of the target energy;

[0061] S330, when the selling data is multi-energy data, obtaining each unit energy in the multi-energy data, and calculating the initial pledge price according to the correlation degree between the unit energies.

[0062] In steps S310-S330, the single-energy data refers to selling data involving only one type of energy, the multi-energy data refers to selling data involving multiple types of energy, the target energy refers to a specific energy type in the single-energy data, the market price refers to the real-time average transaction price of the target energy on the power trading platform at the time of submission of the selling data, the unit energy refers to the smallest specific energy type that can be traded in the multi-energy data, and the correlation degree refers to the correlation or dependency between different unit energies in the multi-energy data.

[0063] It should be noted that the correlation degree between different unit energies is not only related to the market price of the unit energy, but also closely related to the demand of the buyer. In the multi-energy data, the buyer needs to consider the complexity of multiple energy supplies. When the correlation degree between unit energies is low, the demand of the buyer will also decrease, and therefore the initial pledge price will also be relatively low. In contrast, the single energy is more stable and concentrated in the market, and can more effectively meet the market demand, so the demand of the single-energy data is usually higher, and the initial pledge price is also relatively high.

[0064] For example, when the selling data is future power generation, and the distributed energy generating the future power generation is solar energy, the selling data is single-energy data. When the distributed energy generating the future power generation is solar energy and wind energy, the selling data is multi-energy data, and the solar energy and wind energy are unit energies.

[0065] The division of single-energy data and multi-energy data fully considers the influence of energy properties, making the calculation of the initial pledge price more accurate and efficient. The market price reflects the basic value and supply and demand relationship of the energy type, providing a clear pricing benchmark for the initial pledge price. The correlation degree reflects the relationship between each unit energy in the multi-energy data and the demand of the buyer, which helps to improve the accuracy of the calculation of the initial pledge price, thereby improving the transparency and fairness of the transaction.

[0066]

Fourth embodiment

[0067] In a specific embodiment, when the selling data is single-energy data, the target energy in the single-energy data is obtained, and the initial pledge price is calculated according to the market price of the target energy, specifically including:

[0068] S321, obtaining a target device generating the target energy and historical working data of the target device;

[0069] S322, calculating a theoretical production amount of the target energy within a pledge duration according to the historical working data;

[0070] S323, calculating a theoretical supply-demand ratio in different transaction time periods according to the smart contract and the theoretical production amount, and obtaining a historical supply-demand ratio corresponding to the theoretical supply-demand ratio;

[0071] S324、According to the historical supply-demand ratio and the historical transaction price corresponding to the historical supply-demand ratio, an adjustment coefficient is calculated.

[0072] S325, According to the adjustment coefficient and the market price, an initial pledge price is calculated.

[0073] In steps S321 and S322, the target device refers to a specific device that generates electricity using a target energy source, including generators, solar panels, wind turbines, etc., and the historical working data refers to a collection of operation records of the target device in a historical time period, which usually includes power generation, power generation efficiency, fault frequency, and service life, etc. The theoretical production quantity is the total amount of electricity that the target device can produce in the pledge duration based on the historical working data and the meteorological data in the pledge duration. The theoretical production quantity q t The calculation formula is as follows:

[0074] ;

[0075] Where p r is the theoretical power generation power obtained by correcting the rated power generation power of the target device according to the fault frequency and the service life, the pledge duration is divided into multiple power generation time periods, i represents any one power generation time period, h i is the effective power generation duration of the target device in any one power generation time period, and β i represents the influence coefficient of meteorological data on the theoretical production quantity in any one power generation time period.

[0076] In steps S323 and S324, the transaction time period is a specific power consumption time period obtained by dividing the pledge duration according to the power demand of the buyer, which usually includes peak period, valley period and stable period. The theoretical supply-demand ratio refers to the ratio of the theoretical production quantity to the demand of the buyer in any transaction time period. The historical pledge month refers to the month in the historical month that is the same as the month in which the pledge duration is located. The historical supply-demand ratio refers to the average of the historical supply-demand ratio in the same transaction time period in the historical pledge month. The historical transaction price refers to the average of the transaction price corresponding to the historical supply-demand ratio. The adjustment coefficient is a coefficient calculated according to the historical supply-demand ratio r h , the theoretical supply-demand ratio r t and the historical transaction price v h to adjust the market price v m . The calculation formula of the adjustment coefficient a is as follows:

[0077] When r h ≥ r t , a = 1 - (v h ÷ v m );

[0078] When r h <r t , a=1+(v h ÷v m )。

[0079] It should be noted that when the historical supply-demand ratio is greater than or equal to the theoretical supply-demand ratio, it indicates that there may be a situation of oversupply within the pledge duration, thereby causing the transaction price of the selling data to decrease, and when the historical supply-demand ratio is less than the theoretical supply-demand ratio, it indicates that there may be a situation of undersupply within the pledge duration, thereby causing the transaction price of the selling data to decrease.

[0080] In step S325, the initial pledge price is calculated according to the adjustment coefficient a and the market price v m , and the calculation formula of the initial pledge price v i is as follows:

[0081] v i =a×v m .

[0082] The determination of the target device helps to obtain the historical working data, which provides an actual basis for calculating the production capacity of the target device and provides a reliable basis for calculating the theoretical production of the selling unit. The division of the transaction time period fully considers the influence of the electricity consumption behavior mode of the buyer on the transaction price, which helps to more accurately calculate the power supply and demand changes in different time periods, so that the power transaction platform can adjust the initial pledge price according to the actual market demand fluctuations. The prediction of the theoretical supply-demand ratio fully considers the influence of the transaction time period on the power supply and demand changes, so as to more accurately predict the possible supply and demand situation in the transaction time period, which helps to better adjust the pricing and risk assessment. Through the comparison of the historical supply-demand ratio and the theoretical supply-demand ratio, the imbalance risk of supply and demand can be identified in advance, and the adjustment coefficient reflects the influence of the supply-demand relationship on the market price fluctuations. Through the adjustment coefficient, the initial pledge price can be reasonably adjusted according to the real-time market situation, ensuring the accuracy of the pricing and the fairness of the market.

[0083]

Fifth Embodiment

[0084] In a specific embodiment, when the selling data is multi-energy data, each unit energy in the multi-energy data is obtained, and the initial pledge price is calculated according to the correlation degree between the unit energies, specifically including:

[0085] S331, calculating the target pledge price according to the market price corresponding to each unit energy;

[0086] S332, determining a first combination coefficient according to the number of unit energies, and determining a second combination coefficient according to the correlation degree between each unit energy;

[0087] S333, calculate the initial pledge price according to the first combination coefficient, the second combination coefficient and the target pledge price.

[0088] In step S331 and step S332, the target pledge price refers to the initial pledge price of the selling data generated by each unit energy on the electricity trading platform, the quantity of the unit energy refers to the proportion of the selling data generated by each unit energy in the multi-energy data, the first combination coefficient is a weight coefficient calculated according to the quantity of the unit energy, and the second combination coefficient is an effect coefficient calculated based on the correlation degree between the unit energies. The calculation formula of the first combination coefficient k1 and the second combination coefficient k2 is as follows:

[0089] ;

[0090] When 0.7≤d c ≤1, k2=0.9;

[0091] When 0.4≤d c <0.7, k2=0.7;

[0092] When d c <0.4, k2=0.6.

[0093] Wherein, q i is the theoretical quantity of the selling data that any unit energy can generate, m is the total number of types of unit energies contained in the multi-energy data, d c represents the correlation degree.

[0094] It should be noted that the calculation formula of the target pledge price refers to steps S321 to S325. The electricity generated by each unit energy is closely related to the quantity of the unit energy, so the contribution of each unit energy to the initial pledge price of the multi-energy data is also different. Specifically, the quantity of the unit energy directly affects the determination of the initial pledge price. The unit energy with more quantity or larger proportion will have a more significant impact on the calculation of the initial pledge price of the multi-energy data. In addition, the higher the correlation degree, the smaller the impact of the energy combination in the multi-energy data on the initial pledge price. Therefore, when calculating the initial pledge price, the quantity of the unit energy and the correlation degree need to be considered comprehensively to achieve more accurate and scientific pricing.

[0095] In step S333, the initial pledge price is calculated according to the first combination coefficient, the second combination coefficient and the target pledge price v t . The calculation formula of the initial pledge price v i is as follows:

[0096] ;

[0097] Wherein, m is the total number of types of unit energy contained in the multi-energy data.

[0098] The target pledge price reflects the independent market price of unit energy, and provides a pricing benchmark for the initial pledge price of the multi-energy data. The calculation of the first combination coefficient quantifies the quantity and proportion of each unit energy in the multi-energy data, thereby reflecting the different influence degrees of each unit energy on the initial pledge price. The calculation of the second combination coefficient fully considers the synergistic effect between different unit energies in the multi-energy combination and the correlation degree of market value, and significantly improves the pricing rationality of multi-energy transactions by quantifying the complementarity, substitutability and demand side matching degree between energies.

[0099] [Sixth embodiment]

[0100] In a specific embodiment, the optional selling mode corresponding to the selling data is determined according to the initial premium rate, specifically including:

[0101] S510, when the initial premium rate is less than or equal to the premium threshold, the buyer can only purchase the selling data through the ordinary selling mode;

[0102] S520, when the initial premium rate is greater than the premium threshold, the buyer can select one from the ordinary selling mode and the stage selling mode.

[0103] In steps S510 and S520, the premium threshold is a pre-set initial premium rate critical value for dividing different selling modes. In the power trading platform, the premium threshold is usually set to 5%~10%, preferably 8%, 9% and 10%. The ordinary selling mode refers to the transaction mode in which the buyer purchases the pledged electricity according to his own demand, without involving phased splitting or complex transaction steps. The stage selling mode is a transaction mode in which the pledged electricity is delivered in batches according to time or quota.

[0104] It should be noted that when the initial premium rate is less than or equal to the premium threshold, it means that the premium rate of the selling data is within a controllable range, and the initial pledge price of the selling data is also relatively stable. Therefore, the buyer can only purchase the selling data through the ordinary selling mode. When the initial premium rate is greater than the premium threshold, it means that the premium rate of the selling data exceeds the controllable range, and the initial pledge price of the selling data on the power trading platform is high. At this time, the stage selling mode needs to be adopted, and the entire transaction process is divided into multiple stages according to the buyer's demand, and each stage is carried out independently.

[0105] Setting a premium threshold can ensure that the price and risk of the sales data are reasonably controlled, and prevent buyers from choosing inappropriate transaction methods due to high premiums, thereby improving the stability and rationality of the transaction. The diversified choice of ordinary sales methods and phased sales methods provides buyers with more flexibility, especially when market prices fluctuate greatly. Buyers can adjust the transaction progress according to the actual situation and reduce risks.

[0106] [Seventh Embodiment]

[0107] See Figure 4 In one specific embodiment, the buyer selects a target sales method from the available sales methods, and determines the transaction process and transaction nodes for the sales data based on the target sales method, specifically including:

[0108] S610. When a buyer purchases sales data through a normal sales method, the buyer determines the transaction frequency, the number of transaction nodes is determined based on the transaction frequency, and the time node corresponding to each transaction node is determined based on the staking duration and transaction frequency.

[0109] S620. When a buyer purchases sales data through a phased sales method, the buyer determines the transaction node.

[0110] S630. Calculate the premium coefficient based on the initial premium rate and the pledge duration. At each transaction node, determine whether the buyer can terminate the transaction early based on the premium coefficient and the current premium rate.

[0111] In steps S610 and S630, transaction frequency refers to the number of batch deliveries of the sales data selected by the buyer under the normal sales method; transaction node refers to the key event moment set in the transaction process, with each transaction node corresponding to one delivery action; time node refers to the specific delivery time calculated based on the pledging duration and transaction frequency under the normal sales method, i.e., the specific time point corresponding to the transaction node; and premium coefficient refers to the effect of market price fluctuations within the pledging duration on the initial premium rate r. p The influence coefficient is used to adjust the initial staking price for each trading node. The current premium rate is calculated based on the market price of the selling data at each time node, and the premium coefficient k is used to adjust the initial staking price for each trading node. p The calculation formula is as follows:

[0112] k p =r c ÷r p .

[0113] Where, r c This is the average of the current premium rates across all time points.

[0114] It should be noted that after the transaction frequency is determined, the time node is set according to the selection of the buyer, and the specific time of each transaction is determined. The theoretical premium rate is calculated according to the premium coefficient and the initial premium rate. If the current premium rate is less than or equal to the theoretical premium rate, it means that the market price at the current time node is more reasonable, and then it is determined whether the buyer can terminate the transaction in advance.

[0115] For example, when the seller's selling data is pledged for 2025 April 1st to April 28th, and the buyer delivers the selling data, the buyer sets the transaction frequency as once a week, and the transaction node is 1. The time node of the first delivery can be set as any time point on March 31, 2025, and the time node of the second delivery is 1 week apart from the time node of the first delivery. If the current premium rate is 4.7%, the initial premium rate is 4%, and the average of the current premium rate is 5%, then the premium coefficient is 0.8, and the theoretical premium rate is 3.2%. Therefore, the buyer cannot terminate the transaction in advance.

[0116] The transaction frequency reflects the buyer's own electricity demand and financial situation. The determination of the transaction frequency helps the buyer to reasonably arrange the purchase strategy and power supply plan, improve the transaction efficiency, and clearly divide the execution standard and time point of each transaction event. The transaction node ensures that the transaction process is orderly controllable, reduces the uncertainty and controversy in the transaction process, and ensures the transparency and timeliness of the transaction. The premium coefficient fully considers the influence of market price dynamics on the initial premium rate, ensures that the buyer can adjust the transaction strategy in time under unfavorable conditions, and avoids losses caused by market price fluctuations.

[0117]

Eighth embodiment

[0118] Reference Figure 1 In a specific embodiment, the transaction process of the selling data according to the transaction node is audited until the transaction process ends, specifically including:

[0119] S710, when the buyer purchases the selling data by the stage selling method, the supply data of each transaction node seller is obtained for auditing, and when the supply of each transaction node is completed, the transaction process ends;

[0120] S720, when the buyer purchases the selling data by the stage selling method, the real-time premium rate of the selling data at each transaction node is calculated;

[0121] S730, whether the real-time premium rate meets the transaction rule is judged according to the initial premium rate and the premium coefficient;

[0122] S740, if yes, the transaction process continues, if no, the buyer is notified of the early termination of the transaction, and the transaction process ends when the buyer terminates the transaction process or each transaction node completes the audit.

[0123] In steps S710 to S740, the supply data refers to the actual delivery of the selling data by the seller at the transaction node, the real-time premium rate refers to the actual premium rate corresponding to the selling data under the market supply and demand conditions of each transaction node, the transaction rule refers to the terms on the target blockchain that the buyer and the seller follow in the transaction process, the transaction rule refers to the agreement that the buyer and the seller must follow in the transaction process, and the transaction rule is usually stored in the target blockchain in the form of a smart contract. The formula for calculating the real-time premium rate ra of the current transaction node is as follows:

[0124] r a =(v a -v i )÷v i .

[0125] Where v a is the market price of the selling data under the market supply and demand conditions of the current transaction node.

[0126] The on-chain audit of the supply data verifies the matching degree of the seller's power generation and the pledged power in real time, ensures the transparency and accuracy of the transaction, avoids transaction disputes caused by inconsistent supply, and the real-time premium rate can reflect the dynamic changes of the market price in real time, providing real-time decision basis for the buyer, balancing the risks and benefits of both buyers and sellers, enhancing market stability, and the transaction rule provides a clear operation framework for both parties, reducing uncertainty and disputes in transactions, and improving transaction efficiency.

[0127]

Ninth embodiment

[0128] Referring to Figure 5 In an embodiment of the present application, an intelligent power transaction system 100 is also provided, and the intelligent power transaction method described in the above embodiments is applied to the intelligent power transaction system 100. The real-time intelligent power transaction system 100 includes: an audit module 110, the audit module 110 of the power transaction platform is used to audit the selling data according to the pledge rule; a storage module 120, the storage module 120 is used to store the selling data and the audit record to the target blockchain; a calculation module 130, the calculation module 130 is used to calculate the initial premium rate of the selling data; a selection module 140, the selection module 140 is used to let the buyer select the target selling mode from the selectable selling mode. The intelligent power transaction system has all the technical features of the above intelligent power transaction method, which will not be repeated here.

[0129] Although the present application has been disclosed with reference to the above embodiments, the application is not limited to the above embodiments. It will be apparent to those skilled in the art that various modifications and changes can be made thereto without departing from the spirit and scope of the application. The scope of the application should be limited only by the appended claims.

Claims

1. A blockchain-based intelligent power transaction method, characterized in that, The intelligent power transaction method comprises: Setting a pledge transaction mode in the power transaction platform, and selling future power generation through the pledge transaction mode; After the seller uploads the selling data to the power transaction platform, the power transaction platform audits the selling data according to the pledge rules; After the selling data passes the audit, the selling data and the audit record are stored in the target blockchain, and the initial pledge price of the selling data is calculated according to the market dynamics and the energy attribute; According to the expected pledge price of the seller and the initial pledge price, the initial premium rate of the selling data is calculated; According to the initial premium rate, the selectable selling mode corresponding to the selling data is determined; The buyer selects a target selling mode from the selectable selling mode, and determines the transaction process and transaction node of the selling data according to the target selling mode; According to the transaction node, the transaction process of the selling data is audited until the transaction process ends; After the seller uploads the selling data to the power transaction platform, the power transaction platform audits the selling data according to the pledge rules, specifically including: Determine whether the authorized identity of the selling data conforms to the management identity of the selling unit through the identity verification mechanism; If yes, get the pledge duration of the selling data, and evaluate the operation state of the selling unit to get the stable operation duration of the selling unit; When the stable operation duration is greater than or equal to the pledge duration, the selling data is recorded as valid data; The valid data is verified through the hash value matching mechanism, and when the valid data passes the hash value matching mechanism, the valid data is recorded as real data, and when the valid data does not pass the hash value matching mechanism, the selling data is returned to the selling unit; After the selling data passes the audit, the selling data and the audit record are stored in the target blockchain, and the initial pledge price of the selling data is calculated according to the market dynamics and the energy attribute, specifically including: Classify the selling data according to the energy attribute to get single energy data and multi-energy data; When the selling data is single energy data, get the target energy in the single energy data, and calculate the initial pledge price according to the market price of the target energy; When the selling data is multi-energy data, get each unit energy in the multi-energy data, and calculate the initial pledge price according to the correlation degree between the unit energies; According to the initial premium rate, the selectable selling mode corresponding to the selling data is determined, specifically including: When the initial premium rate is less than or equal to the premium threshold, the buyer can only purchase the selling data through the ordinary selling mode; When the initial premium rate is greater than the premium threshold, the buyer can select one from the ordinary selling mode and the stage selling mode; The buyer selects a target selling mode from the selectable selling mode, and determines the transaction process and transaction node of the selling data according to the target selling mode, specifically including: When the buyer purchases the selling data through the ordinary selling mode, the transaction frequency is determined by the buyer, the number of the transaction nodes is determined according to the transaction frequency, and the time node corresponding to each transaction node is determined according to the pledge duration and the transaction frequency; When the buyer purchases the selling data through the stage selling mode, the transaction node is determined by the buyer; The premium coefficient is calculated according to the initial premium rate and the pledge duration, and it is judged whether the buyer can terminate the transaction in advance at each transaction node according to the premium coefficient and the current premium rate. 2.The intelligent power transaction method of claim 1, wherein, When the selling data is single-energy data, the target energy in the single-energy data is obtained, and the initial pledge price is calculated according to the market price of the target energy, specifically including: The target device generating the target energy and the historical working data of the target device are obtained; The theoretical production amount of the target energy within the pledge duration is calculated according to the historical working data; The theoretical supply-demand ratio in different transaction time periods is calculated according to the intelligent contract and the theoretical production amount, and the historical supply-demand ratio corresponding to the theoretical supply-demand ratio is obtained; The adjustment coefficient is calculated according to the historical supply-demand ratio and the historical transaction price corresponding to the historical supply-demand ratio; The initial pledge price is calculated according to the adjustment coefficient and the market price. 3.The intelligent power transaction method of claim 2, wherein, When the selling data is multi-energy data, each unit energy in the multi-energy data is obtained, and the initial pledge price is calculated according to the correlation degree between the unit energies, specifically including: The target pledge price is calculated according to the market price corresponding to each unit energy; The first combination coefficient is determined according to the number of unit energies, and the second combination coefficient is determined according to the correlation degree between each unit energy; The initial pledge price is calculated according to the first combination coefficient, the second combination coefficient, and the target pledge price. 4.The intelligent power transaction method of claim 3, wherein, The transaction process of the selling data at the transaction node is audited until the transaction process ends, specifically including: When the buyer purchases the selling data through the stage selling mode, the supply data of the seller at each transaction node is obtained for auditing, and the transaction process ends when the supply at each transaction node is completed; When the buyer purchases the selling data through the stage selling mode, the real-time premium rate of the selling data is calculated at each transaction node; It is judged whether the real-time premium rate meets the transaction rules according to the initial premium rate and the premium coefficient; If yes, the transaction process continues; If not, the buyer is notified to terminate the transaction in advance, and the transaction process ends when the buyer terminates the transaction in advance or each transaction node is completed.

5. An intelligent power trading system characterized by, The intelligent power transaction method according to any one of claims 1 to 4 is applied to the intelligent power transaction system, and the intelligent power transaction system includes: An auditing module, the auditing module of the power transaction platform is used to audit the selling data according to the pledge rules; a storage module for storing the selling data and the audit record to the target blockchain; a calculation module for calculating the initial premium rate of the selling data; a selection module for allowing the buyer to select the target selling mode from the selectable selling modes.

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