166 results about "Energy trading" patented technology

A system and method are disclosed for AI-orchestrated multi-source renewable energy harvesting and decentralized trading. A plurality of energy harvesting nodes convert renewable resources, including solar irradiance, wind, hydrodynamic flow, salinity gradients, geothermal heat, and waste-heat streams, into electrical power. Each node includes a sensor array that measures operating and environmental parameters and an edge AI processing unit that predicts performance degradation and computes control actions to maximize net power output subject to stress constraints. A power conversion subsystem conditions the generated power for delivery to storage, microgrids, or utility grids. A blockchain-based orchestration layer receives validated energy summaries, tokenizes discrete energy quanta as digital energy tokens with provenance metadata, and executes smart contracts for peer-to-peer trading, dynamic pricing, and programmable revenue distribution. A fleet-level AI coordination module performs federated learning across nodes and coordinates dispatch and curtailment among heterogeneous modalities, improving portfolio efficiency, grid stability, and environmental accounting.

The invention provides a voltage control strategy modeling and voltage online regulation and control method and system for a power distribution network, and is applied to the technical field of power distribution network regulation and control. The method comprises the steps that region division is carried out on the power distribution network based on the electrical distance between nodes of the power distribution network, multiple regions are obtained, and one region corresponds to one virtual power plant; determining the regional electricity price of each region based on the marginal pricing of the distribution region; taking each region as an object of energy transaction with the power transmission network, and constructing an optimization model by taking profit maximization of each region as a target on the basis of considering the safety of circuit elements in each region; performing optimization strategy modeling on the optimization model based on an observable Markov decision process to obtain an optimization strategy model; and training an optimization strategy model based on the regional electricity price of each region and a maximum entropy reinforcement learning algorithm. The method solves the problem that the complexity of the power distribution network affects the optimality and efficiency of the collaborative optimization problem of a plurality of virtual power plants in the power distribution network.

The invention discloses a micro-grid scheduling optimization method and system, a terminal and a storage medium. A user model of each user node in a micro-grid is established in advance; the user model comprises a plurality of energy models: a heating ventilation and air conditioning system model, a load model, a clean energy model, an energy storage system model, a user-power grid energy transaction model and an inter-user energy transaction model; determining a balance relation between energy loss and output according to the user model, and determining constraint conditions; establishing a user cost function of each user node according to the cost function of each energy model; and establishing an optimization problem according to the user cost function of each user node, obtaining an optimal solution according to the constraint condition and the optimization problem through an alternating direction multiplier algorithm, and determining an optimal scheduling scheme of the microgrid. All users are designed as peer-to-peer nodes, and a distributed scheduling algorithm is adopted, so that the autonomy of the system can be enhanced, the communication burden can be reduced, and meanwhile, the efficient privacy protection level can be improved.

The invention provides a hydrogen energy transaction and traceability management method and system based on a block chain, and relates to the technical field of block chains, and the method comprises the steps: obtaining hydrogen energy static creation data, generating a data abstract and an identity code, packaging the data into a digital asset voucher, and publishing the digital asset voucher to a block chain network; a supplier and a demander carry out matched transaction through an intelligent contract to realize complete or partial delivery of asset vouchers, and the intelligent contract triggers an atomization segmentation program to generate sub-vouchers containing a traceability index. According to the invention, the whole hydrogen energy transaction process is traceable, the transaction transparency and efficiency are improved, and the transaction risk is reduced.

The invention discloses an energy digital management method and system, and the method comprises the steps: receiving a multi-source heterogeneous energy data collection signal, and generating an initial energy characteristic spectrum based on a space-time correlation feature extraction algorithm; performing graph neural network coding on the initial energy feature graph, constructing an energy knowledge graph vector set, and decomposing a high-dimensional vector in the knowledge graph vector set into a plurality of subspace vectors; performing real-time scheduling decision on the subspace vectors by using an energy flow optimization model driven by reinforcement learning to generate an energy distribution strategy set; a digital twinborn verification algorithm is applied to the energy distribution strategy set, physical-digital space consistency verification is carried out, and a trusted energy scheduling scheme is generated; and performing block chain evidence storage and intelligent contract execution on the credible energy scheduling scheme to generate a non-tampering energy transaction record. By utilizing the embodiment of the invention, the scheduling precision and the response speed of the energy system can be improved, and full-link credible management from decision-making to execution is realized.

The invention discloses a micro-grid group scheduling method and system based on hierarchical regulation and elastic load response, and belongs to the technical field of power system collaborative optimization and energy transaction, and the method comprises the steps: obtaining the power generation potential of a power generation side and the power utilization regulation potential of a demand side based on the operation constraint of the power generation side and the response constraint of the demand side; constructing a micro-grid group layered interactive coupling model based on the execution rule and the information interaction constraint; constructing a marketization transaction strategy model based on the transaction mode, the bidding mechanism and the income distribution mechanism; improving the particle swarm algorithm through model prediction control to obtain an optimized particle swarm algorithm; and based on the power generation of the power generation side, the power utilization regulation potential of the demand side, the micro-grid group interactive coupling model and the marketization transaction strategy model, obtaining an optimal scheduling scheme by using an optimized particle swarm algorithm. The technical problem that the feasibility of a scheduling scheme is difficult to improve in the prior art is solved.

The invention provides a distributed scheduling method for railway traction stations and peripheral micro-energy grids, and belongs to the technical field of energy supply of micro-energy grid groups containing the railway traction stations, and the method comprises the steps: building a micro-energy grid sharing mutual aid grid structure containing the railway traction stations, obtaining a power model of each railway traction station, and optimally configuring energy storage equipment, obtaining operation constraints of the energy storage equipment; constructing an energy sharing benefit function by taking each micro-energy network agent as a game main body and taking individual benefit maximization as a target, setting constraint conditions, and establishing an energy sharing non-cooperative game model; and solving the energy sharing non-cooperative game model by adopting an alternating direction multiplier algorithm to obtain a distributed energy transaction behavior result and a price result. According to the method, distributed solution is carried out on the micro-energy network energy sharing non-cooperative game model based on the alternating direction multiplier method, original centralized optimization is converted into coupling optimization among a plurality of micro-energy network agents through interactive variables, the efficiency of the whole iteration process is guaranteed, and the privacy of each energy network is protected.

The invention relates to the technical field of data security protection, in particular to an energy internet data security transmission and authentication system, and provides a scheme that the storage efficiency is improved by adjusting the capacity of a self-adaptive block and dynamically adjusting the size of the block according to the energy data flow. And a credibility rating mechanism is adopted to allocate the data to the main block chain or the auxiliary block chain, so that storage resources are optimized and the data credibility is improved. In a cross-chain interaction process, technologies such as identity verification, zero-knowledge proof and time lock are combined, so that the security and tamper-proof capability of data transmission are improved. Block storage is optimized based on the energy supply and demand balance state, the write-in load is reduced, and efficient storage of data in different load environments is ensured. The method improves the storage flexibility, safety and credibility of energy data, and can be widely applied to the fields of smart power grids, distributed energy transactions, carbon emission monitoring and the like.

The invention discloses a building energy scheduling method and platform based on regional energy carbon management, and relates to the technical field of building energy scheduling. The method comprises the steps of multi-dimensional data acquisition, energy-carbon collaborative optimization, dynamic scheduling execution, block chain energy transaction and community-based energy collaboration. The platform comprises a multi-dimensional data acquisition module, an energy-carbon collaborative optimization module, a dynamic scheduling execution module, a block chain energy transaction module and a community collaborative module, and adopts a cloud edge collaborative architecture and a digital twin system. According to the method, double optimization of economy and carbon targets is realized through a cooperation mechanism of a genetic whale algorithm and an NSGA-II algorithm, an energy and carbon credit closed-loop system is constructed by using a block chain, idle energy storage resources are activated in combination with community cooperation, dynamic mapping and early warning are realized by means of digital twinning, and the method is high in practicability. The problems that in the prior art, economy and carbon targets are difficult to balance, energy transaction trust is lost, the user participation degree is low, and carbon management and control lack perspectiveness are solved.

The invention discloses a multi-microgrid intelligent scheduling method and system based on state adversarial reinforcement learning and distributed optimization. The method comprises the following steps: 1) modeling a scheduling problem of each microgrid as a Markov decision process; 2) optimizing the Markov decision process by using a state confrontation soft behavior reviewer to obtain an optimal scheduling strategy of each micro-grid; and 3) performing energy transaction and cost sharing optimization on the optimal scheduling strategy of each micro-grid by using a multiplier alternating direction method to obtain a multi-micro-grid intelligent scheduling strategy. The system comprises a scheduling problem modeling unit, a single-microgrid scheduling unit and a multi-microgrid intelligent scheduling unit. According to the method, SA-SAC and ADMM are combined, so that intelligentization, robustness and efficient optimization of a multi-microgrid system are realized, and an innovative solution is provided for sustainable operation of multiple microgrids.

The invention discloses a point-to-point energy transaction method and system based on a virtual community and distributed power generation, and relates to the technical field of intelligent power grids, and the method comprises the steps: building a building model, and enabling the building model to be aggregated into a virtual community model according to the position of a power distribution network; establishing a distributed power generation model, and introducing a distributed power generation source into the virtual community model; when the virtual community and the distributed power generation source carry out point-to-point transaction, establishing a power distribution system operator model; and integrating the building model, the virtual community model, the distributed power generation model and the power distribution system operator model into a framework model of P2P energy transaction to obtain the point-to-point energy transaction method. According to the method, the utilization rate of renewable energy sources is maximized, and dependence on an external power grid is reduced. The energy transaction cost is remarkably reduced, the flexibility and expandability of the system are improved, the stability of the power distribution network is effectively maintained, network overload is prevented, and privacy protection and a reliable transaction mechanism are provided.

The invention provides a flexible distributed energy network multi-agent collaborative optimization method based on MARL, and the method comprises the steps: building a distributed energy network multi-agent interaction framework which comprises a local energy transaction model for distinguishing an intelligent soft switching path, a network cost model based on a power transmission distribution factor, and a power distribution network operator and user income model; a physical system operation constraint model is established and covers intelligent soft switch operation characteristics, network topology radial constraint, energy storage charging and discharging dynamic states, controllable distributed power supply and photovoltaic output limitation, translational load scheduling and DistFlow power flow constraint. And finally, constructing a collaborative optimization mechanism based on a multi-agent near-end strategy optimization algorithm, modeling the system into a partially observable Markov decision process, adopting a centralized training distributed execution framework, and guaranteeing transaction security and data privacy through block chain evidence storage, RSA encryption and an intelligent contract. The system economy and the operation flexibility are improved.

The invention discloses an energy transaction protection method and system based on block chain online transaction, and particularly relates to the technical field of data management. Energy data are collected regularly, an energy data sequence is formed, a credibility evaluation model is adopted, a transaction data link stability index and an energy consumption deviation value are integrated, low-credibility data are identified and abnormal marking is carried out, and abnormal data points are compared with adjacent energy transaction equipment data, so that the energy transaction efficiency is improved. According to the method and the system, whether the abnormity is caused by malicious tampering or not is judged, for the data which are confirmed to be tampered, if the credibility of all the data meets a set threshold value, transaction data are stored in an uplink mode, and settlement is automatically executed by an intelligent contract. The method and the system can effectively prevent man-in-the-middle attack, side channel attack and data forgery; the authenticity and credibility of the energy transaction data are improved, and the fairness and long-term stability of the block chain energy market are ensured.

An electricity-carbon-green certificate market transaction method based on chaotic mapping considering carbon capturing, comprising: building a transaction strategy for describing the interaction of the market entities in a multi-element market, the multi-element market comprises an electricity market, a carbon market and a green certificate market; and building an upper-layer electricity-carbon-green certificate multi-market combined transaction model considering carbon emission settlement based on the transaction strategy. With the method proposed in the present invention, the model is built according to the energy transaction flow existing in among the transaction entities, efficient utilization of renewable energies and low carbon emissions can be realized, national requirement on low carbonization of market transaction can be satisfied, and a multi-element market transaction mechanism that complies with the dual-carbon target is provided for the existing energy transaction market.

The invention discloses an interconnected micro-grid online distributed point-to-point electric energy management method and system, relates to the technical field of interconnected micro-grid management, and aims to construct an electric energy transaction model by taking the minimum energy transaction cost as an optimization target and taking the electric energy of each micro-grid as a decision variable. Respectively inputting the working condition parameters of each micro-grid and the corresponding historical operation data into a preset electric energy optimization model to obtain initial electric energy corresponding to each micro-grid, and performing distributed iterative optimization on the electric energy transaction model according to the working condition parameters and the initial electric energy corresponding to each micro-grid, and obtaining the target energy transaction cost and the target electric energy corresponding to each micro-grid. The problem that a traditional micro-grid electric energy management method is generally low in convergence speed is solved, the real-time requirement of online management is difficult to meet in a large-scale interconnected micro-grid cluster scene, and the running reliability of a micro-grid is reduced.

The invention belongs to the technical field of energy transaction, and provides a multi-node energy storage transaction and traceability method and system based on a block chain, and the method comprises the steps: enabling an energy storage node to be uniquely mapped to a block chain identity based on a digital certificate or a public and private key system, obtaining the quotation information of the energy storage node based on a dynamic pricing model, packaging the supply and demand information of the energy storage node into an order, and carrying out the transaction of the energy storage node. A matching sequence of energy storage nodes is determined according to a multi-dimensional auction algorithm through an intelligent contract, settlement is automatically executed, transaction details are packaged into blocks, transaction data are linked through Merkle tree root hash, auditing tracing based on transaction hash is supported, and high-frequency transactions are processed by adopting a side chain or fragment structure. And node privacy data are protected by adopting zero-knowledge proof and homomorphic encryption technologies. According to the method, a decentralized settlement mode is adopted, intermediate links are reduced, through multi-dimensional orders and dynamic pricing, matching efficiency and flexibility are improved, high-transparency and credible traceability can be realized, and the method has extendibility and privacy protection functions.

The invention relates to the technical field of agricultural mechanization and automation, in particular to a new energy agricultural machine mobile charging and replacing energy supplementing method and system. The method comprises the following steps: obtaining an operation concentration area of the new energy agricultural machinery, and deploying a mobile charging and battery replacing vehicle in the operation concentration area; establishing an energy transaction platform based on the block chain technology; obtaining charging demand information of the new energy agricultural machine, wherein the charging demand information comprises work amount and energy demand, charging efficiency, geographic factors and environmental factor information; determining the optimal cost between the mobile charging and battery swapping vehicle and the new energy agricultural machinery; and mobile charging and energy supplement of the new energy agricultural machinery are realized. According to the invention, by fusing the dynamic deployment of the mobile charging vehicle, the block chain-driven energy transaction platform and the multi-dimensional charging demand analysis model, the energy complementing efficiency is greatly improved, the operation cost is reduced, the major innovation of the energy complementing system is realized, and subversive technical support is provided for the green and intelligent development of agriculture.

The invention relates to the technical field of virtual power plant optimal scheduling methods, in particular to a multi-user virtual power plant scheduling method integrating risk seeking preference or disgust preference, which comprises the following steps of: establishing a virtual power plant operator model in a deterministic scene; establishing a virtual power plant operator economic dispatching model containing the optimal value and the conditional value-at-risk; establishing a heating ventilation air conditioner user economic dispatching model; based on the game theory, establishing a non-cooperative game economic dispatching model of a virtual power plant operator-multiple heating, ventilation and air conditioning users; and based on an ADMM algorithm, carrying out distributed solution on the non-cooperative game economic dispatching model of the virtual power plant operator-multiple heating ventilation air conditioner users. According to the method, a new thought is provided for the scheduling operation decision of the virtual power plant operator under the influence of multiple uncertainties, and a method is also provided for the energy transaction optimization of the virtual power plant operator and the energy purchasing user.

The invention discloses an autonomous distributed energy and power grid coordination system based on a block chain in the technical field of power grid energy coordination, and the system comprises a double-layer chain network structure and a pluggable privacy protection module, the double-layer chain network structure is composed of a main chain and a regional side chain group, the main chain is based on an improved PBFT consensus algorithm, and the regional side chain group is based on an improved PBFT consensus algorithm. The method is used for whole-network energy transaction settlement and auditing to ensure the global final performance. The regional side chain group is based on a PoS + DPoS hybrid consensus algorithm, side chain block output delay is less than or equal to 2s, and the regional side chain group is used for fast matching and scheduling in a micro-grid; and the main chain and the side chains of each region are subjected to bidirectional state synchronization and atomic exchange through a lightweight SPV cross-chain bridge. Through a double-layer chain network structure, second-level matching and scheduling of regional side chains and main chain whole network settlement and auditing functions are realized, the problem that a single chain is difficult to consider both speed and safety is solved, and consistency of high-speed autonomy and whole network data in a micro-grid is guaranteed.

The invention discloses a distributed energy transaction method and system based on a block chain, and the method comprises the steps: enabling a user to upload equipment information and personal information to a block chain network, and carrying out the registration; a user calls a client interface to initiate a transaction application to the block chain network, an endorsement node performs consensus after receiving the transaction application, and if the transaction can reach the consensus, a simulation execution result and a signed message are combined to generate a transaction proposal and return the transaction proposal to the user; the user sends the transaction proposal to the sorting node for verification, transaction blocks are obtained after verification is passed, and the transaction blocks are sequentially sent to the accounting node for accounting; the accounting node receives the transaction block and records the transaction block in a local block chain, then broadcasts the transaction block to other nodes, and records the transaction corresponding to the transaction block in a block chain network after the nodes reach a consensus to complete the transaction; according to the invention, the safety of the energy transaction system is improved, and a simpler, more efficient and safer energy transaction mode is realized.

The invention discloses a block chain-based station network multi-level electric energy transaction method, and relates to the technical field of block chains. The method comprises the steps of setting an objective function and constraint conditions of energy transaction among a power distribution network, a charging station and an electric vehicle; when the transaction occurs, each node performs the transaction according to the target function and the constraint condition based on the smart contract, performs load flow out-of-limit verification by using the power transfer distribution factor, and competes for the block bookkeeping right according to the integrity index; and after the transaction is finished, updating the integrity index of each node according to a transaction result. Through uploading vehicle-station-network transaction data, vehicle-station-network multi-layer linkage scheduling is realized on the basis of ensuring data credibility and transaction transparency.

The present invention discloses a low-carbon scheduling method for a multi-agent integrated energy system that considers the correlation between wind and solar power. The method comprises the following steps: S1: establishing an integrated energy system structure and constructing an integrated energy system energy trading process that includes a green certificate-tiered carbon trading joint trading market mechanism; S2: within the integrated energy system structure, energy trading service providers are set as upper-level leaders, and energy suppliers and users are set as lower-level followers, establishing a multi-agent master-slave game scheduling mechanism; S3: generating wind-solar combined output scenarios based on historical distributed energy data, and introducing wind-solar correlation into the integrated energy system structure; S4: constructing a decision-making model for each stakeholder in the integrated energy system, including energy trading service providers, energy suppliers, and users; and S5: introducing a hierarchical differential evolution algorithm as a solution method and performing game-based solutions on the decision-making models of each subject in different scenarios to generate optimized scheduling results.

The invention relates to the technical field of intelligent micro-grids, and discloses an intelligent micro-grid selling integrated transaction system based on multi-energy complementation, which comprises an energy transaction master control module, a multi-source complementation optimization module, a dynamic transaction matching module and the like. The multi-source complementary optimization module generates an initial transaction strategy according to day-ahead, day-intra and real-time stages; the load prediction module collects electrical load, adjustable response capability and market price data. The risk assessment module generates a risk level quantitative index by combining a historical default record and a power grid operation state; the energy transaction main control module generates an optimized transaction instruction through a multi-target collaborative decision algorithm; the dynamic transaction matching module adjusts a supply and demand matching rule and feeds back an execution state; the system is further provided with a fault-tolerant correction module, a transaction strategy verification module and the like, the microgrid energy transaction efficiency and the risk management and control capability can be improved, and the system is suitable for intelligent microgrid selling integrated transaction.

According to the energy transaction method and device based on the block chain, the electronic equipment and the storage medium provided by the invention, decentralized, automatic, transparent and credible energy transaction can be realized through energy transaction based on the block chain; through matching optimization calculation based on the first preference parameter, the energy supply quantity, the second preference parameter and the energy demand quantity, energy distribution can be more reasonable, personalized demands of users can be realized, and the satisfaction degree of the users is improved.

The present application relates to the technical field of data security protection, and more particularly to an energy internet data security transmission and authentication system, the present application proposes the following scheme, through adaptive block capacity adjustment, the block size is dynamically adjusted according to energy data flow, improve storage efficiency.Adopt the credibility rating mechanism, data is allocated to the main block chain or the auxiliary block chain, optimize storage resources and improve data credibility.In the cross-chain interaction process, combined with identity authentication, zero-knowledge proof, time lock and other technologies, improve the security and tamper resistance of data transmission.Optimize block storage based on energy supply and demand balance state, reduce write load, ensure efficient storage of data in different load environments.The present application improves the storage flexibility, security and credibility of energy data, and can be widely applied in smart grid, distributed energy trading, carbon emission monitoring and other fields.

The invention provides an interconnected multi-energy micro-grid point-to-point energy transaction method and system considering energy transaction consistency, and relates to the technical field of energy transaction. The method comprises the following steps: constructing a system, and establishing system models including a point-to-point energy transaction model, an energy conversion equipment model and an energy storage equipment model; a system optimization target is determined, and a cost function is constructed according to the point-to-point energy transaction cost of the multi-energy micro-grid, the energy transaction cost of the external network and the environment cost; physical constraints are constructed, wherein the physical constraints comprise energy conversion constraints, energy storage constraints and energy balance constraints; modeling a complex optimization problem including a point-to-point energy transaction and energy conversion process as a partial objective Markov decision process, and introducing energy transaction consistency; and optimizing an energy transaction and conversion strategy of the interconnected multi-energy micro-grid by using an MASAC method. According to the invention, unreasonable energy transaction behaviors can be avoided, and the total operation cost of the system is reduced.

The invention relates to a multi-hydrogen energy industrial park hierarchical game operation method, which belongs to the field of hydrogen energy industrial park comprehensive energy system optimization scheduling, and comprises the following steps: firstly, combining a carbon transaction mechanism to construct an energy aggregator economic operation model based on energy hub optimization and a user energy consumption cost model based on demand response; a price-demand response collaborative optimization operation strategy of a single hydrogen energy industrial park based on a master-slave game is proposed by taking the maximum net income of an energy aggregator and the minimum energy consumption cost of a user as targets, and a multi-EA collaborative operation model based on hydrogen energy transaction is established based on a cooperative game and considering the operation privacy of multiple HIPs. Distributed optimization with the goal of minimizing alliance cost is realized by adopting an alternating direction multiplier method, and a benefit distribution mechanism is designed by utilizing a Shapley value. According to the method, modeling is carried out on interests and interaction mechanisms of different subjects, a scheduling method based on distributed collaboration is adopted, the collaboration and game problems of the subjects in a multi-HIP operation scene are solved, and multi-HIP economical and low-carbon operation is achieved.

The invention discloses a reconfigurable power distribution network end-to-end energy transaction method based on block chain on-chain and off-chain collaboration, relates to a block chain technology, and provides an on-chain and off-chain collaboration end-to-end energy transaction block chain architecture, in the architecture, representatives selected by producers and diasters jointly solve a transaction model, and the energy transaction efficiency is improved. Transparent and credible transaction results are ensured. The method comprises the following steps of: firstly, dividing a solution space of a transaction model into redundant sub-solution spaces on a chain by representatives, and distributing the sub-solution spaces; then, each representative searches an optimal solution in a sub-solution space of the representative under the chain, and submits the optimal solution to the block chain; and finally, performing cross communication on the representatives on the chain, comparing to obtain a global optimal solution of the P2P transaction model, and determining a final transaction result. And through on-chain-off-chain cooperation, a complex optimization task is transferred to offline, so that the calculation burden of the block chain is reduced.

The application relates to a kind of blockchain-based distributed energy transaction verification method and system, relate to the field of blockchain energy transaction, which includes the transaction parameters and identity parameters of the transaction collected;The collected transaction parameters and identity parameters are checked, and transaction code and identity code are determined;After verification, the matching hash value of the blockchain is determined based on the transaction code and the identity code;The matching hash value is converted into a paired string;When the paired string is added to 0, pairing is completed, transactions are carried out according to the transaction code, and data is uploaded to the blockchain platform, and the transaction is completed after the settlement is completed.The application has the effect of reducing transaction time and improving efficiency.

The invention relates to the technical field of power system optimization scheduling, in particular to a multi-microgrid system operation optimization method and system considering distributed energy transaction, and the method comprises the steps: constructing a multi-microgrid system composed of M interconnected microgrids; on the premise that all micro-grids in the multi-micro-grid system interact through energy exchange, a target function with the total running cost minimization of the multi-micro-grid system is built; s2, establishing an internal energy balance constraint and a power constraint of the micro-grid, and establishing an operation optimization model of the multi-micro-grid system in combination with the objective function in the step S2; the method comprises the following steps of: decomposing an operation optimization model of a multi-microgrid system into a plurality of local sub-problems for reducing complexity, finding out a dual problem of the local sub-problems, and then solving the dual problem by adopting an iterative sub-gradient method to find out the minimum operation cost of the multi-microgrid system and an energy value exchanged among microgrids; and controlling the operation of each micro-grid according to the energy value exchanged between the micro-grids. According to the invention, the stability and economical efficiency of the multi-microgrid system are improved.