269 results about "Green certificate" patented technology

The invention discloses a carbon neutralization target-oriented electricity-carbon-green certificate multi-target scheduling optimization method and system, and relates to the technical field of carbon neutralization control, and the method comprises the following steps: obtaining first data of a target energy storage unit, constructing a constraint generation network, and dynamically updating an energy storage operation constraint domain based on a dynamic time warping algorithm; based on the updated operation constraint domain, establishing an electricity-carbon coupling model, extracting a nonlinear mapping relation between an electric energy output behavior and carbon emission intensity, and outputting a dynamic incidence matrix through a multi-dimensional time sequence predictor; constructing a carbon flow distribution topological graph according to the dynamic incidence matrix, and obtaining an optimal carbon flow path through a Dijkstra algorithm; based on the operation constraint domain and the optimal carbon flow path, establishing a multi-subject collaborative decision-making mechanism, solving a multi-target unit equilibrium solution by adopting a distributed alternating direction multiplier method, and generating a global scheduling instruction set; according to the method, a carbon flow topology and dynamic constraint domain cooperation mechanism is constructed, so that efficient solving of a multi-main-body carbon response optimization scheduling problem is realized.

The invention relates to the technical field of power system operation and control, in particular to a medium-and-long-term marketization operation bidding strategy for a wind-light-water-storage combination. Aiming at the problems of volatility, large prediction error, limited profit space and the like of wind and light power generation in the medium-and-long-term power market, the invention proposes that wind and light power generation and cascade hydropower are combined to participate in medium-and-long-term market bidding transaction together; wind and light power generation is encouraged to fully participate in the market by introducing a carbon transaction and green certificate transaction mechanism, and a double-layer optimization model is constructed by considering the influence of current market electricity price fluctuation; the upper layer is a combination quantity report and quotation decision-making model, and the lower layer is a market clearing model so as to realize combination market expected total revenue maximization and social welfare maximization; the strategy significantly improves the medium and long term contract competitiveness and profit space of the wind and light new energy, promotes the consumption of the new energy, and has good environmental benefits and economic benefits.

The invention relates to the field of electricity transaction, in particular to an electricity transaction intelligent algorithm platform based on block chain consensus. The method comprises the following steps: acquiring a real-time green electricity encrypted data set, uploading the real-time green electricity encrypted data set to a block chain node, and generating an unactivated digital green certificate data set; based on the non-activated digital green certificate data set, generating a grid-connected verification instruction, updating the non-activated digital green certificate data set to a tradable state, and generating a tradable digital green certificate data set; obtaining a power grid dynamic parameter set, and generating a green certificate time pricing data set through a space-time right dynamic pricing strategy based on the power grid dynamic parameter set and the tradable digital green certificate data set; and according to the green certificate time pricing data set, the digital green certificate is cancelled after verification in the power utilization process of the user, and a green power consumption traceability report is output. In the green electricity transaction process, fair and orderly development of the green electricity transaction market is promoted.

The invention belongs to the technical field of power systems, and relates to a power transaction decision optimization method under power, green certificate and carbon market interaction, which comprises the following steps: 1, constructing a power transaction decision operation three-layer model framework under power, green certificate and carbon market interaction; 2, establishing a lower-layer power centralized market model; 3, establishing a lower-layer power distributed market model; 4, establishing a lower-layer green evidence market model; 5, establishing a lower-layer carbon market clearing model; 6, establishing a middle-layer power consumer equilibrium decision model; 7, establishing an upper DSO power distribution network operator operation decision model; 8, reconstructing a middle-lower layer model, and constructing a three-layer model iterative solution algorithm; according to the invention, through collaborative transaction decision-making of the power centralized and distributed markets, new energy consumption and traditional energy utilization are balanced, so that social welfare maximization and improvement of multi-subject economic benefits are realized.

The invention discloses a carbon right-green certificate collaborative transaction method based on a block chain, and belongs to the field of block chain technology and environment management. The method specifically comprises the following steps: 1) deploying an intelligent contract based on an Ethereum platform, and integrating power transaction, carbon quota delivery and green certificate issuing process chains to realize automatic execution of transaction rules and non-tampering of data; (2) a Carbon Token excitation mechanism is innovatively designed, a DPoS-CT consensus algorithm considering the right of the Carbon Token is proposed, and a market subject is excited to continuously reduce emission; 3) a dynamic reputation model and a reward and punishment mechanism are used to quantify subject performance behaviors and distribute on-chain rights and interests; and 4) resetting the transaction cycle every 24 hours, and optimizing quota allocation and consensus parameters based on historical data. According to the mechanism provided by the invention, renewable energy transaction can be effectively stimulated, and after the block chain carbon pass system is introduced, the quota completion rate, the green electricity utilization rate, the carbon emission, the carbon right-green certificate transaction volume and the economic benefit are optimized to a certain extent.

The invention relates to the technical field of electricity transaction, in particular to an hour-level green electricity transaction matching method and system considering a green certificate transaction blockchain, and the method comprises the following steps: S1, data collection and preprocessing: collecting the power generation operation data of a green electricity supplier and the power utilization behavior data of a user, preprocessing the collected power generation operation data and power consumption behavior data; s2, constructing a green certificate block chain: constructing a green certificate transaction platform based on a block chain technology, and recording green certificate transaction information; s3, establishing a matching model: constructing a multi-objective optimization model, and integrating multiple factors to carry out transaction matching; s4, transaction execution monitoring: after successful matching, executing the transaction and performing real-time monitoring; s5, transaction settlement evaluation: performing settlement and evaluation after the transaction is completed; according to the invention, the efficiency of green electricity transaction and the satisfaction degree of users and suppliers are effectively improved, and efficient utilization of green electricity resources and vitality improvement of the energy market are realized.

The invention belongs to the technical field of power systems, and particularly relates to a virtual power plant carbon-green transaction optimal scheduling method considering a green power and carbon emission coupling relationship, which comprises the following steps: S1, by taking the lowest total cost as an objective function, constructing an optimal scheduling model for a virtual power plant to participate in carbon transaction and green certificate transaction; the optimal scheduling model comprises a calculation model or a calculation formula of carbon transaction cost, green certificate transaction cost and operation cost of each device; s2, solving the optimal scheduling model according to actual parameters of a virtual power plant to be subjected to optimal scheduling to obtain an optimal scheduling scheme of the virtual power plant participating in carbon transaction and green certificate transaction; and S3, optimizing the operation scheduling of the virtual power plant by using the optimized scheduling scheme obtained in the S2. The method can ensure that the operation scheduling of the virtual power plant comprehensively complies with and optimizes the complex operation mechanism of the power market while considering the carbon transaction cost and the green certificate transaction cost, and realizes accurate regulation and control.

A green evidence-carbon-electricity market coupling modeling analysis method based on system dynamics relates to the field of electricity markets, and comprises the following steps: determining a system boundary, dividing a green evidence-carbon-electricity three-market coupling system into a plurality of sub-modules, and providing a reasonable hypothesis; key elements in each sub-module are extracted, the causal relationship between the key elements is analyzed, and a causal loop diagram of the coupling system is constructed; constructing a stock flow diagram according to the causal loop diagram, establishing an equation, and describing a function relationship between variables; modeling is carried out by utilizing system dynamics simulation software Vensim, parameters are adjusted, and different scenes are set for simulation analysis. According to the method, the interaction among the green certificate market, the carbon market and the electricity market is comprehensively considered, the renewable energy consumption responsibility weight index is concerned, and the influence of the carbon quota tightening coefficient, the carbon quota auction proportion and the renewable energy consumption responsibility weight change on the whole system dynamic state is deeply discussed by establishing the simulation case.

The invention discloses a renewable energy scheduling control method based on electricity-carbon-green evidence market coupling, and relates to the technical field of renewable energy control, and the method comprises the following steps: predicting wind and light output fluctuation intervals based on a neural network, and classifying the wind and light output fluctuation intervals; constructing a first simulator based on chaotic mapping, and constructing a second simulator based on quantum machine learning; controlling to switch the first simulator and the second simulator according to a classification result, and outputting a wind-light output predicted value; and controlling energy storage output according to the wind-solar output predicted value and a preset electricity-carbon interaction model. The method is used for solving the problem of insufficient simulator adaptability in different wind and light output fluctuation scenes and insufficient energy storage control capability in an electricity, carbon and green evidence cooperative scene.

The invention discloses a hydrogen-containing integrated energy system robust optimization scheduling method considering a dynamic green certificate-carbon emission collaborative transaction mechanism. The method comprises the following steps: establishing the dynamic green certificate-carbon emission collaborative transaction mechanism considering reward and punishment characteristics; establishing a hydrogen-containing comprehensive energy system equipment model according to a hydrogen-containing comprehensive energy system architecture; determining a target function and constraint conditions according to the dynamic green certificate-carbon emission collaborative transaction mechanism considering the reward and punishment characteristics and the hydrogen-containing integrated energy system equipment model so as to establish a hydrogen-containing integrated energy system robust optimization scheduling model considering the dynamic green certificate-carbon emission collaborative transaction mechanism; and solving the hydrogen-containing integrated energy system robust optimization scheduling model considering the dynamic green certificate-carbon emission collaborative transaction mechanism based on a robust linear optimization theory. According to the method provided by the invention, the running flexibility of the hydrogen-containing comprehensive energy system is improved, and meanwhile, the running economy and the carbon emission level of the system are improved.

The invention discloses a master-slave game optimization scheduling method for a mining area integrated energy system in an electricity-carbon-green certificate combined market. The method comprises the following steps: establishing a transaction architecture; establishing a mining area energy utilization model according to the transaction architecture; establishing a mining area integrated energy system stepped carbon transaction cost model and a mining area integrated energy system stepped green certificate transaction cost model; establishing an upper-layer energy operator income model comprising a first objective function and a first constraint condition by taking energy operator income maximization as a target; taking the minimum operation cost of the mining area integrated energy system as a target, and establishing a lower-layer mining area integrated energy system cost model comprising a second target function and a second constraint condition; according to an upper-layer energy operator income model and a lower-layer mining area integrated energy system cost model, a master-slave game framework with an upper-layer leader as ESO and a lower-layer follower as CMIES is established; and based on a master-slave game framework, establishing a Stackelberg game model and carrying out solving. Simulation results show that the model provided by the invention can realize optimal economy under game interaction of both parties.

The invention discloses a variable-working-condition IES optimal scheduling method considering a GCT-LTC joint mechanism and a PDR mechanism. The method comprises the steps that S1, a comprehensive energy system comprising power, heat and gas multi-energy complementation is constructed; s2, constructing a variable working condition equipment operation model in the integrated energy system; s3, on the basis of the equipment operation model, constructing a variable working condition IES optimization scheduling model considering a GCT-LTC joint mechanism and a PDR mechanism; and S4, solving the variable working condition IES optimal scheduling model by using a particle swarm algorithm to obtain an operation optimization parameter taking the lowest total operation cost as a target, and performing optimal scheduling of the integrated energy system according to the operation optimization parameter. According to the method, based on a green certificate-stepped carbon transaction joint mechanism, the corresponding optimal scheduling model considering the variable working condition characteristics and requirements of the IES is established with the lowest economic cost as the target, so that the effects of more effective energy conversion and reduced energy waste are achieved, economic operation of the IES is facilitated, and analysis on the overall operation scheduling condition of the IES is more accurate.

The invention relates to the technical field of clean energy market optimization, and particularly provides an optimal scheduling method and device for a power system, and the method comprises the steps: obtaining a policy factor adjustment vector of the power system through a pre-trained Markov chain prediction model based on a policy factor vector of a current power system; adjusting the policy factor vector of the current power system by using the policy factor adjustment vector of the power system; wherein the policy factor comprises at least one of the following: carbon quota demand, carbon emission reduction and green evidence obligation consumption. According to the technical scheme, the market mechanism can be optimized, development of renewable energy sources can be promoted, the electric power structure can be optimized, and the aim of carbon emission reduction can be achieved.

The invention discloses a large-scale public building demand response intelligent regulation and control method based on a multi-mode reinforcement learning agent system. According to the method, a multi-modal reinforcement learning agent system is constructed by introducing a multi-modal data processing and multi-agent cooperation mechanism; the multi-modal reinforcement learning agent system is deployed in the large-scale public building, and cooperative control of the multi-modal reinforcement learning agent system is realized through a distributed execution mechanism; and cooperatively solving the demand response double-layer regulation and control model of the large-scale public building in the electricity-carbon-green certificate market based on a multi-mode reinforcement learning agent system, thereby regulating and controlling key adjustable and controllable equipment, and realizing participation of the large-scale public building in demand response regulation and control of the electricity market, the carbon market and the green certificate market. The method has the advantages that through multi-modal data fusion, the operation and maintenance state sensing capability of the large-scale public building is improved, and the adaptability of the large-scale public building to a dynamic market and a complex environment is enhanced.

The invention discloses a virtual power plant optimal scheduling method based on carbon-green certificate transaction, and relates to the technical field of electric power, and the method comprises the steps: S1, building a carbon-green certificate joint transaction model according to a stepped carbon transaction mechanism and a green certificate transaction mechanism; s2, establishing a virtual power plant low-carbon model according to the P2G-CCS coupling model, the hydrogen fuel cell operation model and the hydrogen-doped gas unit model, and establishing constraint conditions in combination with system energy demand response; s3, determining an optimization target according to the carbon-green certificate combined transaction model and the virtual power plant low-carbon model, and constructing a virtual power plant optimization scheduling model; s4, a CPLEX solver is adopted to process the virtual power plant optimization scheduling model based on optimization constraints, and an optimization scheduling result is obtained; the energy utilization efficiency and the energy consumption efficiency in the operation process of the virtual power plant are improved, meanwhile, low-carbon operation of the virtual power plant is considered, and the problem that in conventional P2G-CCS coupling operation, the virtual power plant cannot give consideration to the energy utilization rate, the energy consumption efficiency and the low-carbon operation at the same time is solved.

The invention discloses an energy scheduling system and method based on a green certificate and carbon transaction mechanism, and relates to the technical field of energy scheduling, and the system comprises an operation cost objective function construction module and an operation scheme determination module. The operation cost objective function construction module is used for constructing an operation cost objective function of the regional integrated energy system; the regional integrated energy system is a renewable energy complementary regional integrated energy system, and the regional integrated energy system comprises a green certificate transaction mechanism and a carbon transaction mechanism; and the operation scheme determination module is used for solving the operation cost objective function by taking operation cost minimization as an objective to obtain an operation scheme of the regional integrated energy system. The energy utilization rate can be improved.

The application discloses a kind of zero carbon scheduling method of virtual power plant with photothermal power station considering and multi-element resource game, first, according to the different division of resource, the park controlled by the virtual power plant with photothermal power station is divided into park 1, park 2, park 3;Establish the game architecture of virtual power plant with photothermal power station and its internal multi-element resource;Establish the output model of photothermal power station containing organic rankine cycle ORC, heat collection mirror field HF, heat storage tank TES;Establish the output model of combined heat and power unit CHP, combined cooling heating and power unit CCHP, and establish actual carbon emission model based on it;Carbon responsibility on power supply side is apportioned to park 1, park 2 by position fair apportionment rule;Establish carbon capture-electricity to gas coupling model;Establish carbon trading model and green certificate income model after responsibility apportionment;According to photothermal power station output model, carbon capture-electricity to gas coupling model, carbon trading model and green certificate income model after responsibility apportionment, construct the master-slave game model of one master and multiple slaves with power balance as constraint condition, leader with realizing zero carbon operation and total income maximum as target, follower with income maximum as target;And solve the maximum income of leader and follower in master-slave game, obtain scheduling scheme.

The invention relates to the technical field of power-hydrogen coupling system planning, in particular to a planning method, system and device for a power-hydrogen coupling system considering carbon-green certificate market and hydrogen load uncertainty and a storage medium, and the method comprises the steps: obtaining the historical operation data of the power-hydrogen coupling system and the historical transaction data of the carbon-green certificate market; generating a plurality of hydrogen load typical random scenes by utilizing a Monte Carlo simulation method according to historical operation data of the electricity-hydrogen coupling system; reducing the number of typical random scenes through a synchronous backward reduction method, and obtaining a typical reduced scene; based on the objective function and the constraint condition, constructing an electricity-hydrogen coupling system planning model considering the carbon-green evidence market and hydrogen load uncertainty; and inputting the obtained data into the electro-hydrogen coupling system planning model, and solving and calculating to obtain an electro-hydrogen coupling system planning scheme. The energy utilization efficiency of the electro-hydrogen coupling system can be improved, the system investment cost is reduced, the system stability is improved, and the system carbon emission is reduced.

The invention provides a low-carbon optimal scheduling method for an integrated energy system based on a green certificate-carbon transaction mechanism, so as to reduce the carbon emission of the integrated energy system and improve the renewable energy consumption capability. In order to improve the running flexibility of the IES containing the electro-hydrogen coupling unit, a proton exchange membrane electrolytic cell is introduced, and refined modeling is carried out on the hydrogen energy using process and equipment. A transaction model of a common stepped carbon transaction is improved and combined with a green certificate transaction mechanism, and a combined heat and power energy system model with an adjustable heat and power ratio is constructed; secondly, taking the minimum total cost of the system as an objective function, coupling a carbon transaction mechanism and a green certificate strategy, and performing optimization solution by using a Cplex solver; analyzing the influence of different carbon transaction mechanism parameters and green evidence parameters on the system; finally, four typical scenes are established, the proposed strategy is obtained through comparative analysis, the carbon emission can be remarkably reduced, the consumption amount of renewable energy sources is increased, meanwhile, good economic benefits are achieved, and reference can be provided for low-carbon economic dispatching of the comprehensive energy system.

The invention relates to the technical field of system dynamics, and discloses an electricity certificate carbon market price analysis method and system based on system dynamics, and the method comprises the steps: S1, determining the main body of a green certificate transaction market and the main body of a carbon emission permit transaction market, and determining a renewable energy power generation mode; s2, constructing a TCC cost control mechanism; s3, TCC cost is calculated according to a TCC cost control mechanism; s4, establishing stock flow dynamic model frames of the green certificate market and the electricity market and the carbon emission permit trading market and the electricity market, and combining the two dynamic model frames to generate an electricity certificate carbon market stock flow dynamic model frame; and S5, analyzing the electricity evidence carbon market price. The system comprises an information input unit, a mechanism construction unit, a calculation and analysis unit and a system dynamics model framework construction unit. According to the method, the system dynamics and the method for controlling and optimizing the TCC cost are combined, and the analysis accuracy and reliability are improved.

The invention provides a renewable energy dynamic binding green certificate time-sharing and step-by-step issuing method, and belongs to the technical field of green certificate issuing. Firstly, active power and timestamps of power generation equipment are collected in a fixed period to form collected data, independent windows are divided according to energy types, and real-time generating capacity is calculated based on the collected data; time-sharing and step-by-step issuing is carried out by comparing the real-time generating capacity with the preset reference electric quantity; a certificate is issued immediately when the electric quantity reaches the standard; if not, the electric quantity is stored in the scattered electric quantity pool. In the process, by calculating the window power generation characteristics of the independent window, the green certificate and the window power generation characteristics are bound to generate an irreplaceable digital green certificate, and the irreplaceable digital green certificate is written into the block chain. When the user cancels after verification, the system verifies the similarity between the data integrity and the feature vector, and the user can cancel after verification if the similarity reaches the standard. Through the above design, the green certificate is accurately checked and issued, the association between the green certificate and the power generation characteristics is enhanced, and the data is ensured to be safe and traceable.

The invention discloses a power generation alliance electricity-carbon-green certificate market bidding decision-making method based on an MADDPG algorithm. The power generation alliance comprises a renewable energy unit and a conventional thermal power unit, and the market further comprises a traditional thermal power generation body and a wind and light new energy power generation body. The method comprises the following steps: constructing a quotation decision-making model of each market subject participating in the electricity-carbon-green certificate market based on the selling income of each market subject in the electricity-carbon-green certificate market, and taking the quotation decision-making model as a decision-making model; constructing an electricity market day-ahead clearing model, a carbon market clearing model and a green certificate market clearing model as coupling clearing models by taking minimum electricity purchase cost, carbon market welfare maximization and green certificate market welfare maximization of the electricity market as targets; constructing a double-layer coupling transaction model by taking the decision model as an upper-layer model and the coupling clearing model as a lower-layer model; and adopting an MADDPG algorithm to solve the double-layer coupling transaction model, and determining the middle bid price, the middle bid amount and the total income of each market subject in the electricity market, the carbon market and the green certificate market.

The invention discloses a cross-regional green electricity spot-medium and long term linkage pricing method based on reinforcement learning, and relates to the technical field of electricity market scheduling, and the method comprises the steps: firstly constructing a state bus on a transaction platform, and converging spot price, contract price, power transmission margin, green certificate price and load prediction to generate a transaction state vector; a node quotation interval is output by adopting sharing-private security reinforcement learning, and a credibility score is recorded; when the node credibility is lower than a threshold value, calculating a credibility coefficient by using synchronous spectrum characteristics and a price difference tail form, and locking a suspicious subject through graph convolution; performing contract remapping and price-limited auction on the suspicious subjects, and rearranging and clearing the order to correct the price sequence; and finally, carrying out discount settlement on the corrected price and the contract reference, and carrying out double-layer training and static period write-back according to a priority playback sample, thereby realizing high collaboration of price signal credibility, power transmission safety and green power consumption.

The invention discloses a multi-microgrid shared operation optimization method considering an electricity-carbon-green certificate transaction. The method comprises the following steps: establishing a multi-microgrid point-to-point energy transaction framework; establishing a multi-micro-grid system model of a novel combined heat and power generation unit equipped with coupling electricity-to-gas-carbon capture in the micro-grid; based on the multi-micro-grid system model, establishing a multi-micro-grid low-carbon operation model considering a stepped carbon-green certificate combined transaction mechanism; based on the Nash negotiation theory, the original problem of the multi-microgrid low-carbon operation model is decomposed into a multi-microgrid cost minimization sub-problem and an asymmetric bargaining-based income distribution sub-problem, and an adaptive alternating term multiplier algorithm is adopted to solve the multi-microgrid cost minimization sub-problem and the asymmetric bargaining-based income distribution sub-problem in a distributed manner; fair distribution is realized according to the energy contribution of each micro-grid while the benefit maximization of the multiple micro-grids is realized, and the carbon emission in the micro-grid operation process is effectively reduced while the economic benefit is ensured.

The invention discloses an MIESs coordinated optimization scheduling method under a carbon-green certificate transaction interaction mechanism considering a dynamic supply and demand transaction curve. The method comprises the following steps: constructing an equipment model according to an MIESs architecture; the method comprises the following steps: on the basis of introducing carbon capture coupling power-to-gas equipment into a cogeneration unit model, constructing a system optimization model considering a dynamic carbon-green certificate transaction interaction mechanism; establishing an MIESs alliance coordinated optimization scheduling model of a carbon-green certificate transaction interaction mechanism considering a dynamic supply and demand transaction curve; and solving the MIESs alliance coordinated optimization scheduling model of the carbon-green certificate transaction interaction mechanism considering the dynamic supply and demand transaction curve. According to the method provided by the invention, the economical efficiency and the carbon emission level of the comprehensive energy system are improved while the operation flexibility of the comprehensive energy system is improved.

The invention relates to the technical field of electric power, and discloses a green electric power information processing method and device, electronic equipment and a storage medium. The specific scheme is as follows: for a scene in which a distributed resource main body participates in a power transaction, a plurality of distributed resource main bodies corresponding to the same aggregator are subjected to green certificate issuing. In the issuing process, for a distributed resource main body whose to-be-issued green electric quantity exceeds an exchange standard electric quantity for exchanging one green certificate, an independent ownership green certificate and a corresponding residual electric quantity are determined for the distributed resource main body, and for the distributed resource main body whose to-be-issued green electric quantity does not exceed the exchange standard electric quantity for exchanging one green certificate, an independent ownership green certificate and a corresponding residual electric quantity are determined for the distributed resource main body. If yes, the to-be-issued green electric quantity is used as the remaining electric quantity, and then the remaining electric quantity of each distributed resource main body is issued with a common ownership green certificate. By adopting the method, the problem that the distributed resource main body cannot acquire the green certificate due to insufficient green power can be avoided.

The invention relates to a CMIES multi-time scale optimization scheduling method considering carbon-green certificate transaction and CCS-P2G joint operation, and belongs to the technical field of mining area energy comprehensive utilization. According to the CMIES low-carbon economic dispatching method, the energy characteristics of the CMIES, the market characteristics of a carbon-green certificate transaction mechanism and the low-carbon characteristics of the CCS and the two-stage P2G are comprehensively considered, and the CMIES low-carbon economic dispatching method considering carbon-green certificate transaction and CCS-P2G combined operation under the multi-time scale is provided. And establishing a CMIES day-ahead and intra-day rolling optimization scheduling model based on MPC by taking minimization of energy purchasing cost, energy abandoning punishment cost, carbon-green certificate transaction cost, equipment operation and maintenance cost, carbon sequestration cost and load calling cost as economic targets. According to the method, loads under different time dimensions and mining area multi-energy output fluctuation can be well coped with, graded adjustment is carried out according to the flexibility of CMIES internal equipment and the multi-time scale characteristic of demand response resources, and the wind, light and associated energy consumption capacity, the CMIES low-carbon property and the CMIES economical efficiency can be effectively improved.

The invention discloses a virtual power plant scheduling method for evolutionary deep reinforcement learning, and belongs to the technical field of power control. According to the method, a hydrogen-containing virtual power plant low-carbon economic dispatching model is constructed, hydrogen energy gradient utilization is realized through electric hydrogen production, electric-to-gas and hydrogen-to-ammonia technologies, a stepped carbon trading model is improved, a hydrogen energy green certificate trading model is introduced, and an evolutionary soft action device-evaluator (ESAC) algorithm is adopted to carry out optimized dispatching. According to the algorithm, population optimization and deep reinforcement learning of an evolutionary strategy are fused, and the mutation rate is dynamically adjusted through an automatic mutation adjustment mechanism. According to the method, the optimization precision and robustness of virtual power plant scheduling are remarkably improved, the operation cost is effectively reduced, and low-carbon operation of a multi-energy system is promoted.

The embodiment of the invention provides a user side green certificate interaction compensation method and device, computer equipment, a storage medium and a computer program product, and relates to the technical field of green power. The method comprises the following steps: constructing a user-side green power point database; setting an integral correction coefficient according to the user type; according to a user side green power point database and the point correction coefficient, obtaining a green power total point of the user in the point exchange period; determining a value-added service product corresponding to the total green power point of the user according to a point exchange standard; and designing a user-side green-friendly value-added service product compensation mechanism based on the green power points according to the green power total points and the value-added service products. The method effectively guides the user to consume in a green and low-carbon manner.

The present application relates to a kind of cross-border integrated energy system collaborative operation optimization method considering carbon-green certificate combined transaction, first, build cross-border integrated energy system CBIES, cross-border integrated energy system CBIES including gas turbine, gas boiler, renewable energy unit, energy storage device, electric boiler, wherein renewable energy unit includes wind power generation and photovoltaic power generation, energy storage device includes battery and heat storage tank;Second, propose the cross-border integrated energy system model considering heat network, power grid loss, on the basis of fully considering cross-border energy flow and conversion, introduce cross-border green certificate, carbon transaction, establish the cross-border integrated energy system collaborative optimization model considering carbon-green certificate combined transaction;Finally, the collaborative operation optimization result is obtained by the model simulation established.This application provides optimization method, which can reduce the operation cost of integrated energy system in different countries, and also improve energy optimization configuration and renewable energy consumption amount.