Intelligent electricity transaction method and system based on block chain technology

Abstract

The invention relates to the technical field of block chains, in particular to an intelligent power transaction method and system based on a block chain technology, and solves the problem of how to improve the fairness, real-time performance and high efficiency of distributed energy transaction by using the block chain technology in a novel power system. The invention provides an intelligent electricity transaction method, which comprises the steps of setting a pledge transaction mode in an electricity transaction platform, and selling future generating capacity through the pledge transaction mode; the electricity transaction platform checks the selling data uploaded by the seller according to the pledge rule; storing the sell data passing the auditing and the auditing record to a target block chain, and calculating an initial pledge price of the sell data according to market dynamics and energy attributes; determining a selectable selling mode corresponding to the selling data according to the initial premium rate; and checking the transaction process of the selling data according to the transaction node until the transaction process is finished.

Description

Technical Field

[0001] The present invention relates to the field of blockchain technology, and in particular to a smart electricity trading method and system based on blockchain technology. Background Art

[0002] The new power system is a completely new power network based on the advanced integration of modern information technology, intelligent control, and distributed energy, aiming to improve the reliability, affordability, flexibility, and sustainability of the power system. Distributed energy refers to the generation of electricity near users through small-scale, decentralized energy production facilities. With the rapid development of renewable energy technologies and the promotion of environmental protection policies, distributed energy has been widely adopted nationwide and has gradually become a key pillar of the new power system. As the proportion of distributed energy in the power system increases, competition in the power market is becoming increasingly fierce. Traditional centralized power dispatching systems often rely on predetermined plans and static market structures, which are unable to cope with the dynamic fluctuations of distributed energy. Furthermore, with the rapid adoption of renewable energy, the traditional centralized power trading model can no longer meet market demand.

[0003] Blockchain is a decentralized distributed ledger technology that links data in blocks to form an immutable chain. Distributed energy resources can be shared and traded using blockchain technology. Smart contracts enable the sharing and collaboration of distributed energy resources, making energy production and consumption more sustainable and efficient. However, how to use blockchain technology to improve the fairness, timeliness, and efficiency of distributed energy transactions remains a key challenge. Summary of the Invention

[0004] The problem solved by this invention is how to use blockchain technology to improve the fairness, real-time performance and efficiency of distributed energy transactions in new power systems.

[0005] To solve the above problems, an embodiment of the present invention provides an intelligent power trading method based on blockchain technology, which includes: setting a pledge trading method in the power trading platform, and selling future power generation through the pledge trading method; when the seller uploads the sales data to the power trading platform, the power trading platform reviews the sales data according to the pledge rules; when the sales data passes the review, the sales data and the review record are stored in the target blockchain, and the initial pledge price of the sales data is calculated according to market dynamics and energy attributes; the initial premium rate of the sales data is calculated according to the seller's expected pledge price and the initial pledge price; the optional sales method corresponding to the sales data is determined according to the initial premium rate; the buyer selects a target sales method from the optional sales methods, and determines the transaction process and transaction node of the sales data according to the target sales method; the transaction process of the sales data is reviewed according to the transaction node until the transaction process is completed.

[0006] Compared with the existing technology, the technical effects achieved by adopting this technical solution are as follows: the power trading platform simplifies the process of power buying and selling through digital management of power transactions, improves transaction efficiency and transparency, the determination of the pledge transaction method ensures the transaction commitments of both buyers and sellers, enhances the credibility of power transactions, and thus ensures the smooth progress of transactions, and the determination of future power generation helps the power trading platform to accurately dispatch and match resources, ensure the balance between power supply and demand, and improve transaction efficiency, the review of sales data helps to ensure the authenticity and validity of transactions, the pledge rules can ensure the transparency and fairness of the power transaction process, avoid false transactions or non-compliance with regulations, and audit records. On-chaining enhances regulatory transparency in the power trading platform and ensures the legitimacy of transactions. By storing transaction data in the target blockchain, it can effectively reduce the risk of transaction data loss and tampering. The calculation of the initial pledge price fully considers the impact of market dynamics and energy properties on power trading prices, thereby ensuring that the initial pledge price can be more reasonable and fair. The calculation of the initial premium rate fully considers the difference between the expected pledge price and the initial pledge price, which helps buyers choose the appropriate sales method to purchase and sell data, thereby improving the rationality and flexibility of transactions. The records of transaction nodes and transaction processes help to fine-tune the transaction process, ensure the compliance and transparency of each link, and reduce potential transaction risks.

[0007] In one embodiment of the present invention, after the seller uploads the sales data to the power trading platform, the power trading platform reviews the sales data according to the pledge rules, specifically including: determining whether the authorized identity of the sales data is consistent with the management identity of the sales unit through the identity authentication mechanism; if so, obtaining the pledge duration of the sales data, and evaluating the operating status of the sales unit to obtain the stable operating duration of the sales unit; when the stable operating duration is greater than or equal to the pledge duration, the sales data is recorded as valid data; the valid data is verified through a 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 sales data is returned to the sales unit.

[0008] Compared with the existing technology, the technical effects achieved by adopting this technical solution are as follows: the setting of the identity authentication mechanism can prevent unauthorized persons from uploading data and participating in transactions, ensuring the credibility of the transaction subjects, thereby effectively improving the security and effectiveness of the transactions; the setting of the authorized identity clarifies the responsible subject of the transaction, which helps to trace the behavior on the target blockchain and meet regulatory compliance; the hierarchical design of the management identity authority further strengthens the platform's supervision capabilities, and assigns different permissions for selling data to management accounts at different levels, 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 period limits the timeliness of the transaction and avoids the redemption risk caused by indefinite commitments; the assessment of the operating status helps to determine whether the selling unit has sufficient capabilities and stability, and ensures the reliability of the sales data; the calculation of the stable operating time helps to screen valid data; the real data confirmed by the hash value matching mechanism provides a reliable information basis for the power trading platform, which helps to improve the transparency and credibility of the power trading platform.

[0009] In one embodiment of the present invention, after the sales data passes the review, the sales data and the review record are stored in the target blockchain, and the initial pledge price of the sales data is calculated based on market dynamics and energy attributes, specifically including: classifying the sales data according to energy attributes to obtain single-energy data and multi-energy data; when the sales data is single-energy data, obtaining the target energy in the single-energy data, and calculating the initial pledge price based on the market price of the target energy; when the sales data is multi-energy data, obtaining each unit energy in the multi-energy data, and calculating the initial pledge price based on the degree of correlation between the unit energies.

[0010] Compared with the existing technology, the technical effects achieved by adopting this technical solution are: the division of single energy data and multi-energy data fully considers the influence of energy attributes, 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 degree of correlation reflects the relationship between each unit of energy in the multi-energy data and the demand of buyers, which helps to improve the calculation accuracy of the initial pledge price, thereby enhancing the transparency and fairness of the transaction.

[0011] In one embodiment of the present invention, when the sales 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 for generating the target energy and the historical working data of the target device; calculating the theoretical production of the target energy within the pledge period according to the historical working data; calculating the theoretical supply and demand ratio in different transaction time periods according to the smart contract and the theoretical production, and obtaining the historical supply and demand ratio corresponding to the theoretical supply and demand ratio; calculating the adjustment coefficient according to the historical supply and demand ratio and the historical transaction price corresponding to the historical supply and demand ratio; and calculating the initial pledge price according to the adjustment coefficient and the market price.

[0012] Compared with the existing technology, the technical effects achieved by adopting this technical solution are as follows: the determination of the target equipment is conducive to the acquisition of historical working data, and the historical working data provides a practical basis for calculating the production capacity of the target equipment, and provides a reliable basis for calculating the theoretical production volume of the selling unit. The division of the trading time period fully considers the impact of the buyer's electricity consumption behavior pattern on the transaction price, which helps to more accurately calculate the changes in electricity supply and demand in different time periods, so that the electricity trading platform can adjust the initial pledge price according to the actual market demand fluctuations. The prediction of the theoretical supply and demand ratio fully considers the impact of the trading time period on the changes in electricity supply and demand, so as to more accurately predict the possible supply and demand situation in the trading time period, which helps to better adjust pricing and risk assessment. By comparing the historical supply and demand ratio with the theoretical supply and demand ratio, the supply and demand imbalance risk can be identified in advance. The adjustment coefficient reflects the impact of the supply and demand relationship on market price fluctuations. Through the adjustment coefficient, the initial pledge price can be reasonably adjusted according to the real-time market situation to ensure the accuracy of pricing and the fairness of the market.

[0013] In one embodiment of the present invention, when the sales 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 degree of correlation between the unit energies, specifically including: calculating the target pledge price according to the market price corresponding to each unit energy; determining the first combination coefficient according to the number of unit energy, and determining the second combination coefficient according to the degree of correlation between the unit energy; calculating the initial pledge price according to the first combination coefficient, the second combination coefficient and the target pledge price.

[0014] Compared with the existing technology, the technical effects achieved by adopting this technical solution are: the target pledge price reflects the independent market price of unit energy, providing a pricing benchmark for the initial pledge price of 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 degrees of influence of each unit energy on the initial pledge price; the calculation of the second combination coefficient fully considers the synergy and market value correlation between different unit energies in the multi-energy combination; by quantifying the complementarity, substitutability and demand-side matching between energies, 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 based on 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 ordinary sales method; when the initial premium rate is greater than the premium threshold, the buyer can choose one from the ordinary sales method and the staged sales method.

[0016] Compared with the existing technology, the technical effects achieved by adopting this technical solution are: the setting of the premium threshold can ensure that the price and risk of selling data are reasonably controlled, and avoid buyers choosing inappropriate transaction methods due to high premiums, thereby improving the stability and rationality of transactions. The diversified choices of ordinary sales methods and staged sales methods provide buyers with more flexibility, especially when the market price fluctuates greatly. Buyers can adjust the transaction progress according to actual conditions and reduce risks.

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

[0018] Compared with the existing technology, the technical effects achieved by adopting this technical solution are: transaction frequency reflects the buyer's own electricity demand and financial status. The determination of transaction frequency helps buyers to reasonably arrange purchasing strategies and power supply plans, and improve transaction efficiency. Transaction nodes clearly divide the execution standards and time points of each transaction event, ensuring that the transaction process is orderly and controllable, reducing uncertainty and disputes in the transaction process. Time nodes ensure that transactions are executed according to the predetermined schedule, avoiding confusion caused by unclear time, and ensuring the transparency and timeliness of transactions. The premium coefficient fully considers the impact of market price dynamics on the initial premium rate, ensuring that buyers can adjust their transaction strategies in time under unfavorable conditions and avoid losses caused by market price fluctuations.

[0019] In one embodiment of the present invention, the transaction process of selling data is reviewed according to the transaction node until the transaction process is completed, specifically including: when the buyer purchases the selling data through the staged selling method, obtaining the supply data of the seller at each transaction node for review, and when the supply of each transaction node is completed, the transaction process is completed; when the buyer purchases the selling data through the staged selling method, calculating the real-time premium rate of the selling data at each transaction node; judging whether the real-time premium rate meets the transaction rules based on the initial premium rate and the premium coefficient; if so, the transaction process continues, if not, issuing a notice of early termination of the transaction to the buyer, and ending when the buyer terminates the transaction process early or each transaction node completes the review.

[0020] Compared with the existing technology, the technical effects achieved by adopting this technical solution are: the on-chain review of supply data ensures the transparency and accuracy of transactions by real-time verification of the matching degree between the seller's power generation and the pledged power, avoiding transaction disputes caused by supply discrepancies; the real-time premium rate can reflect the dynamic changes in market prices in real time, provide buyers with real-time decision-making basis, balance the risks and benefits of buyers and sellers, enhance market stability; the transaction rules provide a clear operating framework for both parties to the transaction, reduce uncertainty and disputes in transactions, and improve transaction efficiency.

[0021] In one embodiment of the present invention, a smart power trading system is also provided. The smart power trading method recorded in the above embodiment is applied to the smart power trading system. The real-time smart power trading system includes: an audit module, the audit module of the power trading platform is used to audit the sales data according to the pledge rules; a storage module, the storage module is used to store the sales data and the audit records to the target blockchain; a calculation module, the calculation module is used to calculate the initial premium rate of the sales data; the selection module, the selection module is used to allow the buyer to select the target sales method from the optional sales methods. The smart power trading system has all the technical features of the above-mentioned smart power trading method, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 One of the flow charts of the smart power trading method; Figure 2 This is the second flow chart of the smart power trading method; Figure 3 This is the third flow chart of the smart power trading method; Figure 4 This is the fourth flow chart of the smart power trading method; Figure 5 This is a system diagram of the smart power trading system; Description of reference numerals: 100 - Power trading system; 110 - Audit module; 120 - Storage module; 130 - Calculation module; 140 - Selection module. DETAILED DESCRIPTION

[0023] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0024] [First embodiment] See also Figure 1 In a specific embodiment, the present invention provides a smart power trading method based on blockchain technology, the smart power trading method comprising: S100. Setting up a pledge transaction method in the power trading platform to sell future power generation through the pledge transaction method; S200: After the seller uploads the sales data to the power trading platform, the power trading platform reviews the sales data according to the pledge rules; S300: After the sales data passes the review, the sales data and the review record are stored in the target blockchain, and the initial pledge price of the sales data is calculated based on market dynamics and energy properties; S400: Calculate the initial premium rate for the data sold based on the seller's expected pledge price and the initial pledge price; S500: Determine an optional selling method corresponding to the selling data according to the initial premium rate; S600: The buyer selects a target selling method from the available selling methods, and determines the transaction process and transaction nodes for selling the data according to the target selling method; S700: Review the transaction process of the data sales according to the transaction node until the transaction process is completed.

[0025] In step S100, the power trading platform is an online system based on blockchain and smart contract technology, which is mainly used for power transactions between sellers and buyers. The pledge transaction method refers to the method in which the buyer and seller trade future power on the power trading platform based on the smart contract. The future power generation is the power generation that can be used for power trading in the future time period predicted by the seller based on the power generation capacity of its own distributed energy.

[0026] It should be noted that electricity transactions between buyers and sellers on the power trading platform are not limited to transactions in power generation, but usually also include transactions in electricity-related data, energy use rights, and other resources or services related to electricity supply and demand. The transaction content can cover various forms such as actual power supply, energy storage services, load management, green energy certificates, etc., to meet different market demands and the diverse needs of participants. Before conducting transactions on the power trading platform through pledge transactions, the buyer and seller will prepay the pledge and down payment to the escrow account in the power trading platform based on the future value of electricity 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 purchasing electricity. In addition, the power trading platform will also dynamically adjust the pledge and payment amounts based on market dynamics and the contract terms of both parties to adapt to changes in actual transactions.

[0027] In steps S200 and S300, the seller refers to the entity that owns distributed energy and sells electricity, such as a household photovoltaic user or energy storage power station. The sales data is the detailed data on future power generation provided by the seller to the power trading platform, including information such as energy type, generation period, expected price, and power generation efficiency. The pledge rules are the specific regulations regarding the seller's future power generation and trading qualifications formulated by the power trading platform based on market conditions and demand. The audit record is the on-chain evidence of the power trading platform's verification process and results of the sales data, typically including the hash value of the sales data, the audit timestamp, and the audit results. The target blockchain is a blockchain network designed specifically for the power trading platform and used to store transaction data. Market dynamics refers to the comprehensive performance of various factors that affect the transaction value of future power generation, typically including real-time changes in supply and demand, price fluctuations, policy changes, and other factors in the power market. Energy attributes refer to the type and characteristics of the distributed energy resources that generate the pledged power, such as power generation cost and energy efficiency, which are key factors affecting the future power generation transaction price. The initial pledge price is the actual transaction price of future power generation calculated based on the energy attributes of each distributed energy resource and market dynamics.

[0028] It should be noted that the pledge rules clearly define the conditions and standards that sellers must meet when conducting electricity transactions, which usually include the specific amount of future power generation, the seller's credit score, and operating conditions.

[0029] In step S400, the expected pledge price refers to the theoretical transaction price of future electricity calculated by the seller, and the initial premium rate is the seller's expected pledge price v e The initial pledge price v calculated by the power trading platform i The difference ratio between the initial premium rate r p The calculation formula is as follows: r p =(v e -v i )÷v i .

[0030] In steps S500 to S700, the optional sales method refers to the purchase method of sales data provided by the power trading platform to the buyer based on the premium rate. The target sales method is the final transaction method selected by the buyer from the optional sales methods. The transaction process refers to the complete steps from uploading the sales data to the completion of the transaction, including the review, pricing and confirmation processes. The transaction node refers to the key node or step in the transaction process, that is, the node responsible for specific functions in the blockchain network, such as the review node and the settlement node.

[0031] The power trading platform simplifies the power buying and selling process and improves transaction efficiency and transparency by digitally managing power transactions. The determination of the pledge transaction method ensures the transaction commitments of both buyers and sellers, enhances the credibility of power transactions, and thus ensures the smooth progress of transactions. The determination of future power generation helps the power trading platform to accurately dispatch and match resources, ensure the balance between power supply and demand, and improve transaction efficiency. The review of sales data helps to ensure the authenticity and validity of transactions. The pledge rules can ensure the transparency and fairness of the power transaction process, avoid false transactions or non-compliance with regulations, and the chain of audit records enhances the power trading platform. The regulatory transparency ensures the legitimacy of the transaction. By storing transaction data in the target blockchain, the risk of transaction data loss and tampering can be effectively reduced. The calculation of the initial pledge price fully considers the impact of market dynamics and energy attributes on electricity transaction prices, thereby ensuring that the initial pledge price can be more reasonable and fair. The calculation of the initial premium rate fully considers the difference between the expected pledge price and the initial pledge price, which helps buyers choose the appropriate sales method to purchase and sell data, improve the rationality and flexibility of the transaction, and record the transaction nodes and transaction processes to facilitate the fine management of the transaction process, ensure the compliance and transparency of each link, and reduce potential transaction risks.

[0032] [Second embodiment] See also Figure 2 In a specific embodiment, after the seller uploads the sales data to the power trading platform, the power trading platform reviews the sales data according to the pledge rules, specifically including: S210: Determine through an identity verification mechanism whether the authorized identity selling the data complies with the management identity of the selling unit; S220: If yes, obtain the pledge duration of the sales data and evaluate the operating status of the sales unit to obtain the stable operating duration of the sales unit; S230: When the stable operation duration is greater than or equal to the pledge duration, the sales data is recorded as valid data; S240. Verify the valid data 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 sales data is returned to the sales unit.

[0033] In step S210 and step S220, the identity authentication mechanism is a technical means to ensure that the sales data uploaded by the seller comes from a legally authorized person. The identity authentication mechanism usually compares the identity information of the uploader with the authorization information recorded in the system through identity authentication technologies such as digital certificates, biometrics or multi-factor authentication to confirm whether the uploader has the authority to upload data. The authorized identity refers to the seller or unit that is granted authority, usually a legal electricity supplier or electricity trading party. The selling unit refers to the unit or company of the seller that provides the sales data. The management identity refers to the account with the right to submit, supervise or review the sales data. The pledge period refers to the effective time window corresponding to the future power generation promised by the selling unit when uploading the data, that is, the time required for the selling unit to generate future power generation. The operating status refers to the actual operating conditions of the selling unit in the future time period, including profitability, risk management and power supply capacity. The stable operating time refers to the length of the future time period in which the selling unit can maintain a continuous and stable operating state.

[0034] It should be noted that authorization refers to the authenticated transaction authority identifier registered by the seller in the target blockchain, such as the public key and private key in a digital certificate. The stable operation duration is obtained through a comprehensive assessment of the selling unit's historical operating performance, financial health, market performance, technological innovation, and equipment reliability.

[0035] In step S230 and step S240, valid data refers to sales data that has passed identity and operation review, that is, the identity and operation conditions of the sales unit providing the sales data meet the requirements of the power trading platform, and real data refers to valid data that has been verified through the hash value matching mechanism and confirmed to be complete, correct and not tampered with.

[0036] The setting of the identity authentication mechanism can prevent unauthorized personnel from uploading data and participating in transactions, ensuring the credibility of the transaction subjects, thereby effectively improving the security and effectiveness of the transaction. The setting of the authorized identity clarifies the responsible party of the transaction, which helps to trace the behavior on the target blockchain and meet regulatory compliance. The hierarchical design of the management identity authority further strengthens the platform's supervision capabilities. Different permissions for selling data are assigned to management accounts at different levels, 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 period limits the timeliness of the transaction and avoids the redemption risk caused by indefinite commitments. The assessment of the operating status helps to determine whether the selling unit has sufficient capabilities and stability, and ensures the reliability of the sales data. The calculation of the stable operating time helps to screen valid data. The real data confirmed by the hash value matching mechanism provides a reliable information basis for the power trading platform, which helps to improve the transparency and credibility of the power trading platform.

[0037] [Third embodiment] See also Figure 3 In a specific embodiment, after the sales data passes the review, the sales data and the review record are stored in the target blockchain, and the initial pledge price of the sales data is calculated based on market dynamics and energy properties, specifically including: S310: Classify the sales data according to energy attributes to obtain single-energy data and multi-energy data; S320: When the sales data is single energy data, obtain the target energy in the single energy data and calculate the initial pledge price based on the market price of the target energy; S330: When the sales data is multi-energy data, obtain each unit energy in the multi-energy data, and calculate the initial pledge price based on the degree of correlation between the unit energy.

[0038] In steps S310 to S330, single energy data refers to sales data involving only one type of energy, multi-energy data refers to sales data involving multiple types of energy, target energy refers to the specific energy type in the single energy data, market price refers to the real-time average transaction price of the target energy on the power trading platform when the sales data is submitted, unit energy refers to the smallest tradable specific energy type in the multi-energy data, and the degree of correlation refers to the correlation or dependency between different unit energies in the multi-energy data.

[0039] It should be noted that the degree of correlation between different units of energy is not only related to the market price of the unit energy, but also closely related to the buyer's demand. In multi-energy data, buyers need to consider the complexity of multiple energy supplies. When the degree of correlation between unit energy is low, the buyer's demand will also decrease, so its initial pledge price will also be correspondingly lower. In contrast, a single energy is more stable and concentrated in the market and can more effectively meet market demand. Therefore, the demand for single energy data is usually higher, and its initial pledge price is also correspondingly higher.

[0040] For example, when the sales data is future power generation and the distributed energy that generates the future power generation is solar energy, the sales data is single-energy data. When the distributed energy that generates the future power generation is solar energy and wind energy, the sales data is multi-energy data, and solar energy and wind energy are both unit energy.

[0041] The division of single-energy data and multi-energy data fully considers the impact of energy attributes, 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 degree of correlation reflects the relationship between each unit of energy in the multi-energy data and the buyer's demand, which helps to improve the calculation accuracy of the initial pledge price, thereby enhancing the transparency and fairness of the transaction.

[0042] [Fourth embodiment] In a specific embodiment, when the sales 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: S321, obtaining a target device that generates target energy and historical operating data of the target device; S322. Calculate the theoretical production of the target energy within the pledge period based on historical working data; S323. Calculate the theoretical supply and demand ratios in different trading time periods based on the smart contract and theoretical production volume, and obtain the historical supply and demand ratios corresponding to the theoretical supply and demand ratios; S324. Calculate an adjustment coefficient based on the historical supply-demand ratio and the historical transaction price corresponding to the historical supply-demand ratio; S325. Calculate the initial pledge price based on the adjustment coefficient and market price.

[0043] In steps S321 and S322, the target device refers to a specific device that generates electricity using the target energy, including generators, solar panels, and wind turbines. The historical operating data refers to the collection of operating records of the target device within a historical period. The historical operating data usually includes power generation, power generation efficiency, number of failures, and service life. The theoretical production capacity is the total amount of electricity that the target device can produce within the pledge period, which is calculated based on the historical operating data and the meteorological data within the pledge period. The theoretical production capacity q t The calculation formula is as follows: ; Among them, p r It is the theoretical power generation obtained by correcting the rated power generation of the target equipment according to the number of failures and service life. The pledge duration is divided into multiple power generation time periods, i represents any power generation time period, h i is the effective power generation time of the target device in any power generation time period, β i It represents the influence coefficient of meteorological data on theoretical production during any power generation period.

[0044] In step S323 and step S324, the trading time period is the specific electricity consumption time period obtained by dividing the pledge duration according to the buyer's electricity demand. The trading time period usually includes peak period, trough period and stable period. The theoretical supply and demand ratio refers to the ratio of theoretical production volume to buyer's demand volume in any trading time period. The month with the same pledge duration in the historical month is recorded as the historical pledge month. The historical supply and demand ratio refers to the average of the historical supply and demand ratios in the same trading time period in the historical pledge months. The historical transaction price refers to the average of the transaction prices corresponding to the historical supply and demand ratio. The adjustment coefficient is based on the historical supply and demand ratio r h , theoretical supply and demand ratio r t and historical transaction prices v h Calculate and adjust the market price v m The calculation formula of the adjustment coefficient a is as follows: When r h ≥r t , a=1-(v h ÷v m ); When r h <r t , a=1+(v h ÷v m ).

[0045] 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 an oversupply may occur during the pledge period, resulting in a lower transaction price for the data being sold. When the historical supply-demand ratio is less than the theoretical supply-demand ratio, it indicates that a shortage of supply may occur during the pledge period, resulting in a lower transaction price for the data being sold.

[0046] In step S325, the initial pledge price is calculated based on the adjustment coefficient a and the market price v m The calculated initial pledge price v i The calculation formula is as follows: v i =a×v m .

[0047] The determination of the target equipment helps to obtain historical working data, which provides a practical basis for calculating the production capacity of the target equipment and a reliable foundation for calculating the theoretical production volume of the selling unit. The division of trading time periods fully considers the impact of the buyer's electricity consumption behavior pattern on the transaction price, which helps to more accurately calculate the changes in electricity supply and demand in different time periods, so that the electricity trading platform can adjust the initial pledge price according to actual market demand fluctuations. The prediction of the theoretical supply and demand ratio fully considers the impact of the trading time period on the changes in electricity supply and demand, so as to more accurately predict the possible supply and demand situation in the trading time period, which helps to better adjust pricing and risk assessment. By comparing the historical supply and demand ratio with the theoretical supply and demand ratio, the risk of supply and demand imbalance can be identified in advance. The adjustment coefficient reflects the impact of the supply and demand relationship on market price fluctuations. Through the adjustment coefficient, the initial pledge price can be reasonably adjusted according to the real-time market situation to ensure the accuracy of pricing and the fairness of the market.

[0048] [Fifth embodiment] In a specific embodiment, when the sales data is multi-energy data, each unit energy in the multi-energy data is obtained, and the initial pledge price is calculated based on the degree of correlation between the unit energy, specifically including: S331. Calculate the target pledge price based on the market price corresponding to each unit of energy; S332: Determine a first combination coefficient based on the number of unit energies, and determine a second combination coefficient based on the degree of correlation between the unit energies; S333. Calculate the initial pledge price based on the first combination coefficient, the second combination coefficient, and the target pledge price.

[0049] In steps S331 and S332, the target pledge price refers to the initial pledge price of the sales data generated by each unit energy on the power trading platform. The number of unit energy refers to the proportion of the sales data generated by each unit energy in the multi-energy data. The first combination coefficient is a weight coefficient calculated based on the number of unit energy. The second combination coefficient is an effect coefficient calculated based on the degree of correlation between unit energy. The calculation formulas for the first combination coefficient k1 and the second combination coefficient k2 are as follows: ; When 0.7≤d c When ≤1, k2=0.9; When 0.4≤d c <0.7, k2=0.7; When d c When <0.4, k2=0.6.

[0050] Among them, q i is the theoretical number of sales data that can be generated by any unit of energy, m is the total number of unit energy types included in the multi-energy data, d c Indicates the degree of association.

[0051] It should be noted that the calculation formula for the target pledge price refers to steps S321 to S325. The electricity that can be generated by each unit of energy is closely related to the quantity of unit energy, so the contribution of each unit of energy to the initial pledge price of multi-energy data is also different. Specifically, the quantity of unit energy directly affects the determination of the initial pledge price. Unit energy with a larger quantity or a larger proportion will have a more significant impact on the calculation of the initial pledge price of multi-energy data. In addition, the higher the degree of correlation, 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, it is necessary to comprehensively consider the quantity and degree of correlation of unit energy to achieve more accurate and scientific pricing.

[0052] In step S333, the initial pledge price is calculated based on the first combination coefficient, the second combination coefficient and the target pledge price v t The calculated initial pledge price v i The calculation formula is as follows: ; Where m is the total number of unit energy types included in the multi-energy data.

[0053] The target pledge price reflects the independent market price of unit energy and provides a pricing benchmark for the initial pledge price of 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 degrees of influence of each unit energy on the initial pledge price. The calculation of the second combination coefficient fully considers the synergy and market value correlation between different unit energies in the multi-energy combination. By quantifying the complementarity, substitutability and demand-side matching between energies, the pricing rationality of multi-energy transactions is significantly improved.

[0054] [Sixth embodiment] In a specific embodiment, determining the optional selling method corresponding to the selling data according to the initial premium rate specifically includes: S510: When the initial premium rate is less than or equal to the premium threshold, the buyer can only purchase the data through the ordinary sales method; S520: When the initial premium rate is greater than the premium threshold, the buyer can choose one of the normal sales method and the staged sales method.

[0055] In step S510 and step S520, the premium threshold is a pre-set initial premium rate critical value, which is used to divide different sales methods. In the power trading platform, the premium threshold is usually set at 5%~10%, preferably 8%, 9% and 10%. The ordinary sales method refers to a trading model in which the buyer purchases the pledged electricity according to his own needs, and does not involve phased splitting or complex transaction steps. The stage sales method is a trading model in which the pledged electricity is delivered in batches according to time or quota.

[0056] 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 sold data is within a controllable range, and the initial pledge price of the sold data is also relatively stable. Therefore, buyers can only purchase the sold data through ordinary sales methods. When the initial premium rate is greater than the premium threshold, it means that the premium rate of the sold data exceeds the controllable range, and the initial pledge price of the sold data on the power trading platform is high. At this time, a staged sales method is required. The entire transaction process is divided into multiple stages according to the buyer's needs, and each stage is carried out independently.

[0057] The setting of premium thresholds can ensure that the price and risk of selling 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 choices of ordinary sales methods and staged sales methods provide buyers with more flexibility, especially when market prices fluctuate greatly. Buyers can adjust the transaction progress according to actual conditions and reduce risks.

[0058] [Seventh embodiment] See also Figure 4In a specific embodiment, the buyer selects a target selling method from the optional selling methods, and determines the transaction process and transaction nodes for selling data according to the target selling method, which specifically include: S610. When a buyer purchases data through a normal 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 pledge duration and the transaction frequency. S620: When a buyer purchases data through a staged sales method, the buyer determines a transaction node; 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.

[0059] In step S610 and step S630, the transaction frequency refers to the number of batch deliveries of the sales data selected by the buyer under the ordinary sales method. The transaction node refers to the key event moment set in the transaction process. Each transaction node corresponds to a delivery behavior. The time node refers to the specific delivery time calculated according to the pledge duration and transaction frequency under the ordinary sales method, that is, the specific time point corresponding to the transaction node. The premium coefficient refers to the initial premium rate r of the market price fluctuation during the pledge duration. p The impact coefficient is used to adjust the initial pledge price of each transaction node. The current premium rate is calculated based on the market price of the selling data at each time node to obtain the premium rate corresponding to each time node. The premium coefficient k p The calculation formula is as follows: k p =r c ÷r p .

[0060] Among them, r c is the average of the current premium rates at all time nodes.

[0061] It should be noted that after the transaction frequency is determined, the time node will be set according to the buyer's choice to determine the specific time when each transaction occurs. The theoretical premium rate will be calculated based on 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 it will be determined whether the buyer can terminate the transaction early.

[0062] For example, when the seller's sales data is pledged for a period from April 1 to April 28, 2025, and when the sales data is delivered to the buyer, the buyer sets the transaction frequency to once a week and the transaction node to 1. Then the time node of the first delivery can be set to 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 current average premium rate is 5%, then the premium coefficient is 0.8, and the theoretical premium rate is 3.2%. Then the buyer cannot terminate this transaction early.

[0063] The transaction frequency reflects the buyer's own electricity demand and financial situation. The determination of transaction frequency helps buyers to reasonably arrange purchasing strategies and power supply plans, and improve transaction efficiency. The transaction nodes clearly divide the execution standards and time points of each transaction event, ensuring that the transaction process is orderly and controllable, and reducing uncertainty and disputes in the transaction process. The time nodes ensure that the transaction is executed according to the predetermined schedule, avoiding confusion caused by unclear time, and ensuring the transparency and timeliness of the transaction. The premium coefficient fully considers the impact of market price dynamics on the initial premium rate, ensuring that buyers can adjust their trading strategies in time under unfavorable conditions and avoid losses caused by market price fluctuations.

[0064] [Eighth embodiment] See also Figure 1 In a specific embodiment, the transaction process of selling data is reviewed according to the transaction node until the transaction process is completed, specifically including: S710: When a buyer purchases sales data through a staged sales method, the buyer obtains the supply data of the seller at each transaction node for review. When the supply of each transaction node is completed, the transaction process ends. S720: When a buyer purchases the sales data through a staged sales method, a real-time premium rate of the sales data is calculated at each transaction node; S730: Determine whether the real-time premium rate meets the transaction rules based on the initial premium rate and the premium coefficient; S740: If yes, the transaction process continues; if no, a notice of early transaction termination is issued to the buyer. The transaction process ends when the buyer terminates the transaction process early or each transaction node completes the review.

[0065] In steps S710 to S740, supply data refers to the sales data actually delivered by the seller at the transaction node. The real-time premium rate refers to the actual premium rate corresponding to the sales data under the market supply and demand conditions of each transaction node. The transaction rules refer to the terms on the target blockchain that buyers and sellers follow during the transaction process. The transaction rules refer to the agreements that buyers and sellers must abide by during the transaction process. The transaction rules are usually stored in the target blockchain in the form of smart contracts. The real-time premium rate ra of the current transaction node is calculated as follows: r a =(v a -v i )÷v i .

[0066] Among them, v a It is the market price corresponding to the selling data under the market supply and demand conditions of the current transaction node.

[0067] The on-chain audit of supply data ensures the transparency and accuracy of transactions by verifying the matching degree between the seller's power generation and pledged power in real time, avoiding transaction disputes caused by supply discrepancies. The real-time premium rate can reflect the dynamic changes in market prices in real time, provide buyers with real-time decision-making basis, balance the risks and benefits of both parties, and enhance market stability. The trading rules provide a clear operating framework for both parties to the transaction, reduce uncertainty and disputes in the transaction, and improve transaction efficiency.

[0068] Ninth embodiment See also Figure 5 In one embodiment of the present invention, a smart power trading system 100 is further provided. The smart power trading method described in the above embodiment is applied to the smart power trading system 100. The real-time smart power trading system 100 includes: an audit module 110. The audit module 110 of the power trading platform is used to audit the sales data according to the pledge rules; a storage module 120. The storage module 120 is used to store the sales data and the audit records in the target blockchain; a calculation module 130. The calculation module 130 is used to calculate the initial premium rate of the sales data; and a selection module 140. The selection module 140 is used to allow the buyer to select a target sales method from the optional sales methods. The smart power trading system has all the technical features of the above-mentioned smart power trading method, which will not be described in detail here.

[0069] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the scope defined by the claims.

Claims

1. A smart electricity trading method based on blockchain technology, characterized in that: The smart power trading method comprises: Setting up a pledge transaction method in the power trading platform and selling future power generation through the pledge transaction method; After the seller uploads the sales data to the power trading platform, the power trading platform reviews the sales data according to the pledge rules; When the sales data passes the review, the sales data and the review record are stored in the target blockchain, and the initial pledge price of the sales data is calculated based on market dynamics and energy properties; Calculating the initial premium rate of the sold data based on the seller's expected pledge price and the initial pledge price; Determining an optional selling method corresponding to the selling data according to the initial premium rate; 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; The transaction process of the data sale is reviewed according to the transaction node until the transaction process is completed.

2. The smart power trading method according to claim 1, characterized in that: After the seller uploads the sales data to the power trading platform, the power trading platform reviews the sales data according to the pledge rules, specifically including: Determine through an identity verification mechanism whether the authorized identity of the data seller is consistent with the management identity of the seller; If yes, obtain the pledge duration of the sales data, and evaluate the operating status of the sales unit to obtain the stable operating duration of the sales unit; When the stable operation time is greater than or equal to the pledge time, the sales 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. When the valid data does not pass the hash value matching mechanism, the sales data is returned to the sales unit.

3. The smart power trading method according to claim 2, characterized in that: After the sales data passes the review, the sales data and the review record are stored in the target blockchain, and the initial pledge price of the sales data is calculated based on market dynamics and energy attributes, specifically including: Classifying the sales data according to the energy attributes to obtain single-energy data and multi-energy data; When the sales 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 sales 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 degree of correlation between the unit energy.

4. The smart power trading method according to claim 3, characterized in that: When the sales 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 specifically includes: Acquire a target device that generates the target energy and historical operating data of the target device; Calculate the theoretical production of the target energy within the pledge period based on the historical working data; Calculate the theoretical supply and demand ratios within different trading time periods based on the smart contract and the theoretical production volume, and obtain the historical supply and demand ratios corresponding to the theoretical supply and demand ratios; Calculating an adjustment coefficient based on the historical supply-demand ratio and the historical transaction price corresponding to the historical supply-demand ratio; The initial pledge price is calculated based on the adjustment coefficient and the market price.

5. The smart power trading method according to claim 3, characterized in that: When the sales data is multi-energy data, obtaining each unit energy in the multi-energy data and calculating the initial pledge price according to the degree of correlation between the unit energy specifically includes: Calculate the target pledge price based on the market price corresponding to each unit of energy; Determine a first combination coefficient according to the number of the unit energies, and determine a second combination coefficient according to the degree of correlation between the unit energies; The initial pledge price is calculated according to the first combining coefficient, the second combining coefficient, and the target pledge price.

6. The smart power trading method according to claim 5, characterized in that: The determining of the optional selling method corresponding to the selling data according to the initial premium rate specifically includes: When the initial premium rate is less than or equal to the premium threshold, the buyer can only purchase the sales data through ordinary sales methods; When the initial premium rate is greater than the premium threshold, the buyer can select one of the ordinary selling method and the staged selling method.

7. The smart power trading method according to claim 6, characterized in that: 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 including: When the buyer purchases the sales data through the ordinary sales 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 pledge duration and the transaction frequency; When the buyer purchases the sales data through the stage sales method, the buyer determines the transaction node; A premium coefficient is calculated based on the initial premium rate and the pledge duration, and at each transaction node, it is determined whether the buyer can terminate the transaction early based on the premium coefficient and the current premium rate.

8. The smart power trading method according to claim 7, characterized in that: The reviewing of the transaction process of the data sale according to the transaction node until the transaction process is completed specifically includes: When the buyer purchases the sales data through the staged sales method, the supply data of the seller at each transaction node is obtained for review. When the supply of each transaction node is completed, the transaction process ends; When the buyer purchases the sales data through the stage sales method, a real-time premium rate of the sales data is calculated at each transaction node; determining whether the real-time premium rate satisfies transaction rules based on the initial premium rate and the premium coefficient; If so, the transaction process continues; If not, a notice of early termination of the transaction is issued to the buyer. The transaction process ends when the buyer terminates the transaction process early or each transaction node completes the review.

9. An intelligent power trading system, characterized in that: The smart power trading method according to any one of claims 1 to 8 is applied to the smart power trading system, wherein the smart power trading system comprises: An audit module, the audit module of the power trading platform is used to audit the sales data according to the pledge rules; a storage module, configured to store the sales data and the audit record in the target blockchain; a calculation module, configured to calculate the initial premium rate of the selling data; A selection module is used to allow the buyer to select the target sales method from the optional sales methods.

Images