37 results about "Green certificate" patented technology

The invention discloses a green power authentication mechanism based on a block chain technology. The green power authentication mechanism is characterized by comprising the following steps that 1, data acquisition is conducted through a sampling electricity meter; 2, a trusted storage module conducts reliability inspection on acquired data and encrypts and stores the data in a block chain for tamper-proofing protection; 3, a database receives and stores the sampling data supplied by the trusted storage module to be used for upper-layer service and application query; and 4, an information center verifies the sampling data in the database through the block chain, and if the sampling data is true, a green certificate is issued. The green power authentication mechanism has the advantages that the green certificate issuing efficiency is improved; and a point-to-point direct transaction is achieved, intermediate links and intermediaries are omitted, and complicated procedures are reduced.

The invention discloses an intelligent electric meter system with carbon emission reduction calculation. The intelligent electric meter system comprises a central processor, an electric quantity metering module, a carbon emission reduction calculation module and a communication module, wherein the communication module, the electric quantity metering module and the carbon emission reduction calculation module are connected with the central processor respectively; the central processor is used for controlling data exchange; the electric quantity metering module is used for one-way or two-way metering of electric quantity; the carbon emission reduction calculation module calculates a carbon emission reduction amount according to an amount of electricity generated by renewable energy generation equipment, and generates carbon emission reduction amount data; and the communication module is used for realizing data transmission between the intelligent electric meter system and a blockchain network. The intelligent electric meter system can realize direct acquisition of data of the amount of generated electricity and the carbon emission reduction amount, avoids errors and disputes caused by manual meter reading statistics and calculation, can greatly help the right confirmation of carbon assets such as green certificates and carbon indexes of renewable energy power generation in the future, thereby helping the statistics and calculation of carbon assets from hardware, and increasing the credibility of carbon assets.

A system and method for creating and using energy credits derived from the construction sector while maintaining green certification. The system and method uses buildings. The energy consumption of a building or buildings is first reduced by identifying and placing predetermined components in the buildings. That energy reduction is then designated as an energy credit derived from and associated with the construction sector. The credit is then marketed and sold. The remaining or residual energy consumption associated with use of the building is then offset through the purchase of outside energy credits. The building or buildings are then certified as green.

The invention relates to a comprehensive energy system of electric, cold and thermal multi-terminal requirements, and particularly to a comprehensive-energy-system optimization method based on doubleconstraint conditions of optimal environment emission and thermal-exergy utilization. The method is based on constituent elements of a cold, thermal electric triple-supply system of fired gas, a fired-gas boiler, an electric refrigerator and a photovoltaic+energy storing system of the comprehensive energy system, all types of market values of greenhouse-gas (carbon) emission, benefits of environment tax saving, a green certificate of renewable energy and energy use right of a highly efficient fired-gas energy station are all standardized as comparable prices through a carbon emission accounting method based on terminal consumption and other methods according to all the elements of the system; and a system ratio interval of optimal thermal-exergy utilization is obtained by initial derivation, and then ratio composition of all subsystems of the comprehensive energy system corresponding to a smallest total amount of greenhouse-gas and pollutant emission is finally selected through simulation, measurement, calculation and verification on total amounts of greenhouse-gas and pollutant discharge. The method has the advantage of realizing system matching degree optimization for features ofcleanness and high efficiency of the comprehensive energy system.

The invention discloses a renewable distributed energy unified price bidirectional auction transaction method based on a super account book, and the method comprises the following steps that a distributed renewable energy green certificate needs to be audited by a government supervision node, and a platform node creates an intelligent contract and initiates bidirectional auction; prices are unified, and green certificate bidirectional transaction is carried out while electric quantity transaction is carried out. An independent channel is created based on a super account book technology, and related trader nodes are isolated for independent communication. the intelligent contract is deployed in the local database of each node, and the transaction electric quantity and the corresponding green certificate are encrypted and uploaded. And after the intelligent contract triggers the transaction, the settlement data includes green certificate examination, and after verification is performed at each transaction-related node, the transaction pays electric charge and purchases a corresponding green certificate. The invention is used for distributed energy spot transaction, and rapid, safe and efficient transaction of renewable energy sources is achieved.

The invention discloses a distributed energy grid-connected authentication and transaction method based on a green right consensus mechanism, and the method can effectively reduce the system cost of distributed energy transaction in a region through introducing a green certificate mechanism to construct a green energy transaction blockchain system. Therefore, the interactive cohesion problem of renewable energy source additional system and green certificate market transaction is effectively solved. Besides, friendly access of wind power, photovoltaic and other distributed renewable energy sources is realized by deploying a certain capacity of stored energy, and the distributed renewable energy sources can also participate in electric energy spot market transaction and green certificate market transaction at the same time so as to obtain the maximum income. The method can realize automatic authentication and transaction automation of the on-grid electric quantity of the distributed power supply, and has the characteristics of being distributed, transparent, traceable, tamper-proof, high in reliability and the like.

The invention discloses a novel energy operation system and method based on a block chain technology, wherein the application layer is used for realizing a transaction-oriented subject function, the block chain layer is used for facing the application layer and providing transaction technology support for the application layer, and the application layer comprises a transaction subject identity authentication module used for providing registration, login, verification, query and identity management services; the transaction record credible controlled storage module is used for ensuring the security and privacy of transaction information and providing data registration, authorization and query services; and the green certificate transaction module is used for realizing a transaction processfor the transaction subject and providing registration and registration, green certificate generation, green certificate transaction and green certificate cashing services. According to the invention,the integrated transaction service process is realized, the energy transaction efficiency is effectively improved, and the energy transaction process is standardized.

The invention discloses an optimization method of a multi-energy complementary integrated system, A new optimization method is established with the constraint conditions of the best economy and the least carbon dioxide emission, Equipment composition for the entire integrated system: prime mover, absorption chiller, Heat exchange equipment, gas-fired boilers, photovoltaic power generation and ground-source heat pump systems, which calculate carbon dioxide emission reductions, environmental tax savings, renewable energy green certificates and transaction costs of energy rights for efficient gas-fired energy stations, based on the energy balance between each system and the end user, with the traditional split-supply system as a reference; Preliminary derivation of the optimal economic systemmix interval, and then through the lowest carbon dioxide emissions as a constraint condition for verification, the final selection of environmental protection and economic optimal system capacity allocation. The method realizes the optimization of system configuration according to the environmental protection and high efficiency of the multi-energy complementary integrated system.

The invention provides a green certificate transaction system based on a block chain. The green certificate transaction system comprises an auditing node, an agent node and an off-chain node, the agent node is used by a power producer and a purchaser; the auditing node verifies the qualification information of the power producer on the agent node and sends a green certificate to the power producer on the agent node; the off-chain node predicts the transaction price of the next transaction according to the historical transaction price and the current environment information; when the agent node receives the selling information of the electric power producer and the purchasing information of the purchaser, the agent node sends the selling information, the digital signature of the electric power producer, the purchasing information and the digital signature of the purchaser to an off-chain node, and the off-chain node matches the selling information with the purchasing information; sending the successfully matched transaction information to the agent node; the agent node sends the successfully matched transaction information to the transaction intelligent contract; and the transaction intelligent contract performs transaction processing according to the transaction information. The transaction volume can be improved.

The invention discloses a virtual power plant optimization scheduling and transaction management method considering green certificate transaction, and the method comprises the steps: employing a TVD (Truncated Versatile Distribution) model to fit new energy output according to the actual data of a wind power station and a photovoltaic station, constructing a virtual power plant optimization scheduling model taking the maximum profit of a virtual power plant as an optimization target, and constructing a model constraint condition; solving the virtual power plant optimal scheduling model by adopting stochastic programming and a heuristic algorithm, and simulating the influence of participation of the virtual power plant in green certificate transaction.

The invention belongs to the technical field of electricity markets. The technical problem to be solved is to provide the comprehensive energy system optimization operation method considering the carbon-green certificate transaction mechanism, the method establishes an IES low-carbon economic dispatching model considering the CET and green GCT mechanism based on the CET and GCT mechanism, comprehensively considers the characteristics of the CET and green GCT, compares results of different scheduling models are compared, and analyzes the influence of different carbon transaction prices and green certificate prices on the system operation cost. According to the technical scheme, the operation method comprises the following steps: S1) researching a carbon-green certificate transaction concept, and analyzing a carbon emission permit and green certificate transaction mechanism and the feasibility of implementing the mechanism in the IES; s2) establishing a carbon-green certificate cost model and a carbon emission permit and green certificate transaction market value risk model, and S3) establishing an IES optimization model containing carbon-green certificate transaction and performing example analysis.

The invention belongs to the technical field of block chains, and particularly relates to a green certificate and carbon right combined transaction platform for cross-chain transaction. The system comprises a green certificate transaction block chain which is used for automatically issuing green certificates; a carbon emission permit transaction block chain is used for carbon emission of the power plant; a joint transaction block chain is used for synchronizing the green certificate issuing information in the green certificate block chain to the carbon emission right block chain; ane intelligent contract formulating block chain is used for monitoring the actual conditions of the carbon emission permit transaction block chain and the green certificate transaction block chain. The invention discloses a green certificate and carbon right combined transaction system for cross-chain transaction, and solves the problems that an existing green certificate and carbon right transaction system is poor in transaction flexibility and is not suitable for an actual complex transaction application scene.

The invention discloses a multi-park integrated energy system optimization operation method considering green certificate transaction under a low-carbon background, and belongs to the technical field of integrated energy system low-carbon operation optimization. According to the technical scheme, the method comprises the following steps: S1) constructing a multi-park interconnected comprehensive energy system model; S2) constructing a carbon emission permit-green certificate joint transaction market framework; and S3) constructing a Byzantine fault-tolerant mechanism-based GCT combined two-way auction model. A multi-park integrated energy system optimization scheduling model considering CET and GCT mechanisms is established, the feasibility of introducing a carbon-green certificate transaction mechanism into IESs is analyzed, a carbon-green certificate combined transaction market framework is established, a heat supply network, gas network and IESs optimization model and related constraints are established, green certificates are bid by adopting a Byzantine-based two-way bidding auction mechanism, the optimal GCT price is determined, and a multi-park integrated energy system optimization operation strategy considering green certificate transaction under the low-carbon background is researched.

The invention discloses a peak regulation auxiliary service compensation method considering a green certificate, and the method comprises the steps: dividing the time of the day according to a presettime threshold, and obtaining a time period set corresponding to the time; obtaining a deviation generating capacity and a deviation generating capacity coefficient through a renewable energy unit prediction generating curve and an actual generating curve in each time period in the time period set; screening out a reverse peak regulation time period in a time period set according to the deviationgenerating capacity coefficient; and calculating the deviation green evidence quantity in the total reverse peak regulation time period, and distributing the deviation green evidence quantity to the corresponding peak regulation auxiliary service generator set in proportion. According to the method, the problem of imbalance of a peak regulation auxiliary service market compensation mechanism can be solved, secondary apportionment of auxiliary service cost increment caused by a renewable energy reverse peak regulation period on a power generation side in a green certificate form is realized, and the defects of a current peak regulation auxiliary service market apportionment mechanism are made up to a certain extent.

The invention discloses a source-load coordinated optimization scheduling method considering a green certificate and a carbon transaction system. The source-load coordinated optimization scheduling method introduces a current power certificate transaction system and a carbon emission right transaction system based on the background of low-carbon power and an intelligent power grid while enabling ahigh-energy load to be included in a wind-power-containing power system optimization scheduling model. The source-load coordinated optimization scheduling method takes the maximum net income of a power generation enterprise as an optimization target, establishes a source-load coordinated optimization scheduling model considering green certificate transaction and carbon transaction, solves the established model by adopting an adaptive immune vaccine algorithm, and compares and analyzes the influence of the introduction of the carbon transaction system and the calling of the high energy load onthe system, and the results show that the source-load coordinated optimization scheduling method provided by the invention can effectively improve the green certificate yield, reduce the wind curtailment rate and promote wind power consumption, thereby reducing the average carbon emission per unit power generation amount, ensuring the net income of power generation enterprises to a certain extent, and improving the new energy utilization rate and environmental protection benefits.

The invention discloses an operation optimization method for a park integrated energy system, and the method comprises the steps: obtaining an initial operation optimization model according to the constraint condition of equipment in the system; acquiring a quota target electric quantity in the park, and a quota constraint condition and a price constraint condition of the green certificates participating in the transaction, acquiring the number of the green certificates participating in the transaction in the park and a selling price or a purchasing price of the green certificates according to the conditions, and establishing a green certificate operation mechanism and a transaction model; obtaining a final optimization model of the park integrated energy system based on the green certificate, and solving to obtain an optimal optimization scheme. By utilizing the method, the technical problem that the optimal optimization scheme of the integrated energy system cannot be realized and the total operation cost cannot be reduced due to the fact that the utilization rate of renewable energy sources of the existing park integrated energy system is low is solved, the park integrated energy system plays a dual role of green certificate trading and selling, the market participation degree of users is further deepened, and the total operation cost is reduced.

The invention discloses a new energy unit contract coverage rate optimization method which is used for solving the problem that an effective connection and transition mechanism is urgently needed when an existing new energy unit participates in an electric power spot market, and the method comprises the following steps: according to renewable energy unit prediction output data, electric power spot market clearing data and green certificate market clearing data, calculating the contract coverage rate of the new energy unit; establishing an upper layer model; establishing a middle-layer model according to the quotation data of the participating units of the electric power spot market and the quotation data of the participating units of the green certificate market; establishing a lower-layer model according to the income data of the new energy unit in the electric power spot market and the green certificate market; and converting the three-layer model through a KKT condition to obtain an optimal result of the contract coverage rate of the new energy unit. The invention further discloses a new energy unit contract coverage rate optimization device, electronic equipment and a computer storage medium. According to the method, the three-layer model is converted into the single-layer model through the KKT condition, and then the optimal solution of the new energy machine combination coverage rate is obtained.

The invention provides a multi-time-scale smart energy station cooperative operation control method and device, and is used for carrying out the optimal scheduling of a smart energy station in consideration of renewable energy consumption, and the method comprises the steps: building an optimal scheduling model of the smart energy station through considering the operation cost and the green certificate-carbon transaction cost; dividing the operation of the smart energy station into three scales of day-ahead optimization scheduling, rolling optimization scheduling and real-time control, and respectively formulating specific control algorithms; according to the equipment characteristics of the smart energy station, the equipment in the station is divided into three types according to the start-stop flexibility, and participates in control of different time scales with different margins; and finally, monitoring the running state of the smart energy station in the running day, and solving the optimal scheduling model in a rolling manner to obtain an optimal scheduling plan of the smart energy station. The problems that renewable energy consumption and carbon emission reduction cannot be fully excited, and renewable energy output uncertainty and comprehensive energy system flexibility are not fully considered are solved.

The invention provides a multi-market subject dynamic game optimal decision solving method, which relates to the field of electricity markets, and is characterized in that a new market transaction architecture is established in consideration of quota bearing indexes of electricity selling enterprises in the electricity markets under a quota system and a green certificate transaction policy, and market subject decision behaviors are analyzed based on the new market transaction architecture; based on the supply process of green power and green certificates in a new transaction architecture, a multi-market-subject dynamic game model based on a matching and forekeeping system and a green certificate transaction policy is provided, profit or utility maximization of market subjects including power generation enterprises, power selling enterprises and power consumers can be met, an optimal decision under multi-subject game equilibrium is obtained. The method fully considers the actual situation of quota index evaluation of the electricity selling enterprise required by the forehead system policy, provides a research thought for quantitative analysis of the influence of implementation of the forehead system and green certificate transaction policy on multiple subjects of the electricity market, and has strong practical reference significance.

The invention relates to the technical field of information, in particular to a block chain-based carbon emission permit and green certificate combined transaction system, which comprises an access subsystem, a filling subsystem, a matching subsystem and a settlement subsystem, and is characterized in that an enterprise transfers a carbon emission permit and / or a green certificate into the access subsystem, transfers a corresponding number of certificates into an enterprise virtual account, and checks the corresponding number of certificates; the filling subsystem receives a purchase filling order and a sale filling order of an enterprise, the filling subsystem extracts hash values of the purchase filling order and the sale filling order and uploads the hash values to a block chain for storage, the matching subsystem generates a lineation unit price, so that the number of transaction certificates under the lineation unit price is maximum, and the settlement subsystem performs fund settlement according to the transaction purchase filling order and the sale filling order. And the corresponding token is transferred to the virtual account of the corresponding transaction purchasing enterprise, and the enterprise exchanges the token into carbon emission permissions or green certificates with the consistent number through the access subsystem. The method has the substantive effects that the trading volume can be effectively improved, and the loss caused by the fact that an enterprise cannot accurately grasp the market law is reduced.

The invention provides a balanced optimization device based on an electric power green certificate market joint clearing model, and the device is based on a computer system and a program, and executes the following technical design: according to the historical output data of renewable energy sources, extracting a renewable energy source output characteristic curve through clustering analysis and other algorithms; setting parameters such as weight indexes of power consumers, basic parameters of each market subject, probabilities of different scenes, unit output, load fluctuation and the like under a renewable energy source forehead system; performing linearization processing on the power-green certificate market joint clearing model to convert the power-green certificate market joint clearing model into a solvable mixed integer linear programming model; in a pre-established power-green certificate market combined clearing model, quotation parameters of a strategy quoter are initialized, and the power-green certificate market combined clearing model is solved through a diagonalization algorithm, so that an optimal value for balanced optimization in the model is obtained; comprising market clearing electricity price, bid-winning capacity of each market subject, an optimal quotation strategy of a strategy quoter and the like.

The invention discloses a renewable energy green certificate price curve measuring and calculating method and system. According to the method, the daily average price of a green certificate is obtained according to the obtained daily renewable energy power generation amount, the daily renewable energy power generation amount, the total number of green certificates, the daily investment amount of arenewable energy power generation enterprise and the return rate of the renewable energy power generation enterprise. The green certificate price measuring and calculating mechanism provided by the invention is based on the return rate of the wind power enterprise, conforms to the market economic operation law, and can avoid the commodity price risk, i.e., the income or loss caused by the uncertainty of the market price to the material commodity assets of the enterprise. The green certificate price measuring and calculating mechanism provided by the invention is efficient and practical. The method has the advantages that the normal distribution of the declaration rate and the yield of the currency is considered, the method is suitable for measuring and calculating all renewable energy green certificate prices, the day-by-day fluctuation curve of the green certificate prices is measured and calculated more accurately, decision support is provided for a power transaction institution, and benefits of renewable energy power generation enterprises are facilitated.

The invention discloses a green certificate transaction market efficiency calculation method and system. The method comprises the steps of obtaining various indexes influencing a green certificate transaction market; Calculating a pre-established index system based on each index to obtain each index value; and Calculating green certificate transaction market efficiency based on the index values. The index system comprises: primary and secondary indexes, wherein each primary index comprises a calculation model determined by adopting a sudden change cardinal number method; Each secondary index comprises a standard value calculation formula. the efficiency of green certificate trading markets in different regions is calculated, various indexes influencing the efficiency of the green certificate trading markets are analyzed, quantitative indexes are introduced, weight determination is not needed, the influence of subjective factors is reduced, and good operability and practicability are achieved.

The invention relates to an optimal scheduling method for an integrated energy system. The method comprises the following steps: acquiring operation data and system equipment parameters of the integrated energy system; establishing a new energy prediction error model, and solving a prediction error; establishing a system equipment operation model; setting a power system constraint condition, a cold and thermal system constraint condition and a hot water system constraint condition; linear transformation is carried out; respectively establishing a system operation cost function model, a prediction deviation penalty cost function model, a carbon emission cost function model, a green certificate transaction cost function model, an energy storage battery life cost function model and a comprehensive energy system total cost objective function model; and solving to obtain a scheduling result. According to the method, volatility and randomness of wind power are fully considered, carbon emission to the environment is reduced through carbon transaction and green certificate transaction, and the optimal solution considering the total cost of the comprehensive energy system and the carbon emission of the environment can be effectively obtained.

The invention relates to a power generation provider and power consumer bidding method and device based on multi-type markets. The method comprises the following steps: constructing a power generation provider multi-market bidding strategy model and a user multi-market bidding strategy model; and combining the generator multi-market bidding strategy model, the user multi-market bidding strategy model and the power market bilateral bidding clearing model to determine the bidding of the market members. According to the invention, a multi-type market-based power supplier and power consumer bidding model considering the carbon market, the green certificate market and the power market is designed, joint modeling of the carbon market, the green certificate market and the power market is realized, and market types and market behaviors participated by different market subjects are fully considered, the multi-type member quotation decision problem under the multi-market coexistence condition is solved, and the maximum benefit of the user is ensured while the actual economic benefit of the power generation side is improved.

The invention discloses a distributed power supply excitation mechanism analysis method for a virtual power plant, and the method comprises the steps: drawing a virtual power plant day-ahead market causality loop diagram based on a system dynamics theory, and building a virtual power plant system dynamics day-ahead market transaction model for aggregating distributed power supplies; analyzing the influence of weather and real-time electricity price on the virtual power plant day according to the virtual power plant system dynamics day-ahead market transaction model of the aggregated distributed power supply; drawing a virtual power plant long-term market causality loop diagram based on a green certificate transaction mechanism and a carbon transaction mechanism, establishing a long-term transaction model of the virtual power plant participating in the market, analyzing the influence of the green certificate transaction mechanism and the carbon transaction mechanism on the virtual power plant, and completing the analysis of a distributed power supply excitation mechanism. According to the method, the influence of external factors such as weather and policy mechanisms on the virtual power plant can be effectively analyzed, and construction suggestions are provided for the virtual power plant to better participate in marketization transaction.

The invention provides a power market auxiliary service green certificate compensation method and system. The method comprises the following steps: acquiring the current-day actual generating capacity and the current-day predicted transaction generating capacity; calculating a deviation value according to the current-day actual generating capacity and the current-day predicted transaction generating capacity data; and compensating the power market auxiliary service according to the deviation value. While an auxiliary service provider is stimulated to provide high-quality auxiliary service, a renewable energy power generator is promoted to improve the prediction accuracy of self output; the auxiliary service cost caused by renewable energy power generation is shared by using the green certificate additional value, and the problem of unfair occupation of auxiliary service resources by renewable energy power generation is solved, so that the fair development of the auxiliary service market is promoted.