912 results about "Microgrid" patented technology

The invention belongs to the field of data processing, and particularly relates to a dynamic cooperative control system and method for a gas turbine and a micro-grid, and the method comprises the steps: constructing a micro-grid real-time monitoring module, continuously collecting distributed energy real-time output, controllable load demands, bus voltage frequency and equipment state parameters, and carrying out the filtering and noise reduction through a preprocessing unit, thereby guaranteeing the data precision; calculating a real-time power difference value based on the preprocessed data, calling an adaptive neural fuzzy inference system, taking the power difference value, the bus voltage deviation and the frequency deviation as input, and judging whether the power difference value, the bus voltage deviation and the frequency deviation exceed a preset threshold value by means of a fuzzy rule base and a neural network model; if the threshold values are not exceeded, the current states of the gas turbine and the energy storage system are maintained; if any one exceeds the threshold value, a dynamic cooperative control instruction is triggered, precise cooperative control of the gas turbine and the micro-grid is achieved, and the operation stability, the operation efficiency and the reliability of the micro-grid are improved.

To provide a system and an apparatus for implementing a mobile energy system.SOLUTION: In an aspect, a mobile energy system includes a cabinet having an interior space defined by an outer surface of the cabinet, and the interior space can include a battery storage area configured to receive a battery energy storage system having at least 2 kWh of storage capacity. The mobile energy system can also include an item storage area configured to receive and store one or more other items, a connector configured to connect the battery energy storage system located in the battery storage area to an external power source, and a charging cable configured to connect the battery energy storage system to a charging port of an electric vehicle.SELECTED DRAWING: Figure 4

The invention relates to the technical field of large-scale power grid safety guarantee, in particular to an optimal decentralized coordination control method for a micro-grid in a new energy power system, which comprises the following steps of: performing virtual disconnection verification on key power transmission lines one by one based on online acquired power grid topology and real-time line power flow data, and establishing a whole-grid cascade risk quantitative index. According to the method, power grid topology and line power flow data are acquired in real time, virtual disconnection verification of key power transmission lines is implemented one by one, simulation and analysis of a line fault scene are realized, whole-network cascade risk quantitative indexes are established on the basis, and an initial fault line with the maximum threat to system safety is identified by comparing the indexes with a safety threshold value in real time, so that the safety of the system is improved. A fragile line risk contribution list is generated, and high-risk lines are positioned and prevented in advance; and further directly calculating the power adjustment amount required by the micro-grid group according to the risk contribution list, and forming a forward-looking tide dredging instruction set.

The invention belongs to the technical field of multi-energy micro-grid cooperative regulation and control. The invention discloses a multi-energy micro-grid coordinated regulation and control system based on cross-layer knowledge injection and federated distillation. The system is characterized by comprising a cross-layer knowledge injection network; a federal knowledge distillation module; and the uncertainty map regulation and control module is used for constructing an MEMG uncertainty association map, learning the influence weight of each uncertainty factor on a regulation and control decision through a map attention mechanism, and realizing a dynamic risk avoidance strategy. The invention discloses a multi-energy micro-grid cooperative regulation and control method based on cross-layer knowledge injection and federated distillation. The method is characterized by comprising the following steps: step 1, MEMG topology knowledge coding; 2, cross-layer knowledge injection training is carried out; step 3, federal knowledge distillation optimization; and step 4, performing uncertainty map regulation and control. According to the system and the method, the precision, the robustness and the data privacy protection capability of MEMG regulation and control are improved, and the system and the method are suitable for efficient collaborative optimization of the park-level multi-energy microgrid.

The invention relates to the technical field of energy storage systems, and provides a self-adaptive power distribution method and system for multiple energy storage units of an island microgrid. According to the invention, a discrete consistency algorithm is adopted to realize coordination control of multiple units, each unit only exchanges information with adjacent units, and power distribution targets of all the units are converged to a consistent value through iterative computation, so that the communication bottleneck and the single-point fault risk of centralized control are avoided; according to the invention, a complete fault-tolerant processing mechanism is designed, the operation state of each energy storage unit is monitored in real time, topology updating and power redistribution are automatically carried out when a unit fault is detected, and the self-healing operation of the system is realized. Experiments show that compared with a traditional method, the method has remarkable advantages in key performance indexes such as capacity balance among energy storage units, system operation efficiency, communication overhead and fault recovery time, and the operation efficiency and reliability of the island microgrid system are remarkably improved.

The invention relates to the technical field of micro-grids, and discloses an inverter output waveform optimization control method, an inverter and a storage medium, and the method comprises the steps: constructing a switching period average model and an output waveform optimization function of a single-phase off-grid inverter, and carrying out the optimization control of the output waveform of the single-phase off-grid inverter based on the output waveform optimization function and the switching period average model, determining a calculation model of a modulation wave compensation signal; acquiring an input signal for controlling the output waveform of the inverter, performing double closed-loop control on the inverter based on the input signal, and outputting an original modulated wave signal; calculating a modulation wave compensation signal based on the input signal, an inductive current reference value generated in double closed-loop control and a modulation wave compensation signal calculation model; and superposing the original modulated wave signal and the modulated wave compensation signal to obtain an optimized modulated wave signal. According to the method provided by the invention, the modulation wave signal is compensated and optimized, and the purpose of optimizing the waveform quality of the output voltage when the single-phase off-grid inverter is loaded with the nonlinear load is achieved.

The invention discloses a source-grid-load-storage integrated coordinated management and control system for an intelligent micro-grid, and relates to the technical field of intelligent micro-grids and comprehensive energy regulation and control. The system comprises the following components: a multi-energy-flow data acquisition unit, a multi-energy-flow coupling modeling and optimizing unit, a multi-energy-flow gradient utilization execution unit, a mode self-adaptive switching unit and a main control unit, according to the invention, through a multi-energy flow coupling modeling and optimization unit, an electric-thermal-gas multi-energy flow coupling model comprising a heat supply network transmission loss calculation sub-model is constructed, a renewable energy consumption constraint sub-model is additionally arranged, and an improved hybrid particle swarm optimization algorithm is adopted to carry out dynamic optimization solution, so that an optimal scheduling strategy is generated; according to the strategy, the consumption rate of renewable energy sources is increased, electricity-heat gradient utilization and efficient configuration are achieved through a heat energy distribution priority regulation and control mechanism and efficiency optimization control of the waste heat recovery module, and dependence of heat loads on electric energy is remarkably reduced.

A quantum-distributed microgrid controller employing a synchronization mechanism by leveraging the quantum properties of qubits. Since the distributed control problems of electrical networks such as microgrids can be modeled as networked differential equations, a proposed master equation is leveraged to construct the network of differential equations. By characterizing proper observables, expectation values of all the observers at all nodes will eventually get synchronized to a possibly time-varying target value and the synchronization rule follows the forced Kuramoto model. The quantum synchronization scheme is exploited to regulate AC microgrids' frequency and DC microgrids' voltage and guarantee precise power sharing. Due to the superposition feature of qubits, the QDC provides a foundation for introducing more enhanced quantum-secure distributed control for microgrids through randomizing the θ angle of qubits in the initialization step, which finally results in an unprecedented security for distributed control of AC and DC microgrids.

A microgrid island division method based on a cumulative foreground theory and a transfer learning thought comprises the following steps: step 1, aiming at a day-ahead decision-making scene, taking income maximization in a scheduling period as a core target, integrating short-term renewable energy output prediction and electricity price fluctuation data, and constructing a capacity optimization configuration model; 2, constructing a double-layer model, constructing a transaction decision model by the upper-layer model by taking energy storage power station revenue maximization as a target, and determining a power station quotation strategy; the lower layer model takes the sum of the electric energy cost and the frequency modulation service cost as the target to construct a combined clearing model of the electric energy and the frequency modulation market; and 3, solving the double-layer model constructed in the step 2. According to the method, energy storage can participate in an electric energy and frequency modulation market through strategic quotation under a reasonable market mechanism, and an energy storage power station is stimulated to optimize resource allocation, so that the frequency modulation pressure of a power system is reduced, the energy storage economic benefit is improved, and the stability and resource utilization efficiency of the power market are further improved.

The invention discloses a heterogeneous graph neural network-based microgrid cooperative scheduling prediction and security check method. The method comprises the steps of constructing a heterogeneous graph model; different micro-grid operation scene graphs are generated through analogue simulation; solving an optimal collaborative scheduling strategy vector for each scene graph to serve as an optimal scheduling label, generating a training data set of a'scene graph-optimal scheduling label 'data pair, and completing offline training of the graph neural network model; dynamically generating an instantiated heterogeneous graph; taking the instantiated heterogeneous graph as the input of the trained graph neural network model, carrying out first forward reasoning, and outputting a predicted collaborative scheduling strategy vector; and injecting a virtual fault, generating a virtual fault heterogeneous graph, inputting the virtual fault heterogeneous graph and the predicted cooperative scheduling strategy vector into the trained graph neural network model, carrying out second forward reasoning, predicting the state of the faulty micro-grid system, obtaining the predicted fault node voltage, and carrying out safety check on the predicted cooperative scheduling strategy vector.

The invention discloses a micro-grid resource visual topological index generation method and system. The method comprises the following steps: receiving geographic boundary coordinate data of a micro-grid system to establish a micro-grid physical region coordinate system; a hexagonal honeycomb grid structure is constructed in the microgrid physical region coordinate system; generating a cellular grid hierarchical hash code according to the cellular grid; constructing a skip list chain of the network topology structure and a skip list chain access path cache table based on the hash code; and finally, executing cross-level jump retrieval by utilizing the cache table and generating a micro-grid resource visual topological index. According to the method, by combining the hexagonal honeycomb grid and the skip list chain structure, efficient cross-level retrieval is achieved, the speed and accuracy of equipment positioning in a complex micro-grid system are remarkably improved, and the fault processing efficiency and the operation and maintenance response speed are powerfully guaranteed.

A control system for a direct current (DC) microgrid is described. The control system includes a DC bus with a positive bus line and a negative bus line, DC battery circuits with a positive coupler connected to the positive bus line and a negative coupler connected to the negative bus line, switches including a control input terminal located in each DC battery circuit, a distributed generator circuit connected to the DC bus, a constant load power circuit connected to the DC bus, a computing device connected to each control input terminal, the DC bus, the distributed generator circuit and the constant load power circuit. The computing device includes an electric circuitry, a memory, and at least one processor to determine a DC bus voltage, determine the SoC of the DC battery circuits, generate PWM signals that control the DC bus voltage, and balance the SoC of the DC battery circuits.

The invention relates to a real-time scheduling method and system for a port gathering, distributing and transporting energy system based on double-consolidation continuous reinforcement learning. The method comprises the following steps: constructing a port micro-grid; acquiring related data in real time based on the port micro-grid, and performing preprocessing; constructing the port gathering, distributing and transporting energy system into an intelligent agent, and defining a state space, a dynamically limited action space and a reward function based on the pre-processed related data; and on the basis of a double-consolidation continuous reinforcement learning framework fusing a deep learning algorithm and a double-consolidation mechanism, performing optimization scheduling on the intelligent agent, generating an energy storage scheduling strategy, outputting optimal charging and discharging power, and completing a real-time scheduling process. Compared with the prior art, the method has the advantages of realizing dynamic collaborative optimization of clean energy supply and traffic load and the like.

The invention discloses a micro-grid layered stability control method and system, and relates to the technical field of micro-grid control. Periodic data and instruction signals of upper and lower layer control links of a micro-grid are collected, and reverse adjustment delay amount and an idle stroke deviation value during period switching are calculated; processing to obtain a period difference index and a collaborative adaptation index containing an impact coefficient; analyzing a time sequence action relationship between the period difference index and a micro-grid adjusting link, and calculating a connection deviation coefficient of a control rhythm by counting lagging frequency and amplitude of instruction response; potential problems of a micro-grid control link can be found in advance, stable operation time is prolonged through strategy adjustment when the instability risk is low, maintenance is conducted in time before the risk rises, power failure accidents caused by layered control mismatch are reduced, and the operation stability and reliability of the micro-grid are improved especially for the micro-grid with the high new energy proportion and large fluctuation.

The invention discloses a self-adaptive coordination dynamic voltage control method and system based on a micro-grid, and relates to the field of micro-grid self-adaptive coordination dynamic voltage control. In order to solve the defects that an existing micro-grid model cannot adapt to complex disturbance and dynamic load and cannot accurately reflect the actual network state when regulating and controlling the dynamic voltage of the micro-grid, the current operation mode of the micro-grid is analyzed; when the synchronization error is smaller than the tolerance, the PCC is closed and switched to a grid-connected operation mode; if the current large power grid is normal, the grid-connected operation mode is maintained; if the current large power grid is abnormal, starting island detection and judging that the current microgrid is in an off-grid operation mode; executing a corresponding grid-connected control strategy, an off-grid control strategy or a switching pre-control strategy according to the voltage value; and when the execution of the current control strategy is detected to be abnormal, automatically terminating the execution of the current control strategy, rolling back to the previous safe state, and starting a standby plan at the same time. The method is mainly used for carrying out adaptive coordination dynamic control on the output voltage of the micro-grid.

The invention discloses a rural micro-energy grid power distribution method based on multi-agent collaborative decision, and relates to the technical field of micro-energy grids. The method comprises the following steps: acquiring basic information of each power utilization unit in the rural micro-energy grid, constructing a power distribution module of the power utilization unit, and obtaining an initial power distribution vector of the rural micro-energy grid; inputting the initial power distribution vector of the rural micro-energy network into a pre-trained daily power distributor of the rural micro-energy network to generate a daily power distribution vector of the rural micro-energy network; acquiring comprehensive early warning information of the country, and judging whether the power utilization unit has a disaster or not; if no disaster occurs, performing power distribution by using a daily power distribution vector of the rural micro-energy network; and if a disaster occurs, constructing a rural micro-energy network disaster power distribution reconstruction module, generating a rural micro-energy network disaster power distribution vector, and performing power distribution. And on the basis of disaster early warning information, disaster power distribution and reconstruction are carried out, so that the problem of insufficient emergency guarantee capability caused by lack of efficient resource allocation of disaster power supply is solved.

The invention relates to the technical field of intelligent power grid network security, in particular to an adaptive scanning concurrency number adjusting method under micro-grid isolation, which comprises the following steps: S1, respectively deploying load monitoring nodes in a control area, a non-control area and a management information area, collecting service load and network state data of each area in real time through the load monitoring node; and S2, based on the collected service load and network state data, constructing a concurrent number calculation formula, and through dynamic concurrent adjustment driven by the real-time load, the vulnerability scanning efficiency is ensured, and the service operation of each region of the micro-grid is prevented from being interfered.

The invention relates to an electric energy quality treatment method and system for a unified electric energy quality conditioner. The method comprises the steps of system state collection and global state vector construction, TD3 strategy network action generation and parameter mapping, MPC optimization solution and control instruction generation, intelligent agent execution control instruction and environment feedback, and TD3 strategy updating and reward function construction. According to the method, a UPQC series side and a UPQC parallel side are modeled into an intelligent agent with autonomous behaviors, and the intelligent agent serves as a key execution unit in a TD3-MPC control architecture to participate in collaborative decision making; under joint scheduling of reinforcement learning and a rolling optimization mechanism, active and accurate adjustment of key power quality indexes such as voltage, current and harmonic waves by the UPQC is realized, the control precision and response speed of the UPQC in a complex disturbance environment are improved, the problems of voltage fluctuation, harmonic pollution, reactive power imbalance and the like in a micro-grid are effectively improved, and the power quality of the micro-grid is improved. And the overall effect of UPQC electric energy quality treatment is improved.

The invention discloses an energy storage capacity prediction method based on meteorological parameters, and particularly relates to the technical field of graph neural networks. Collecting multi-source meteorological data to construct an original time sequence matrix, and extracting a disturbance feature tensor based on a local disturbance window; the disturbance characteristics are mapped to a high-order space, and a multi-scale capacity response factor is constructed; modeling a causal link of meteorological disturbance and capacity fluctuation based on a graph structure, and extracting a dynamic dependency path; and the lightweight convolution model is combined to complete capacity prediction. In addition, through reverse feedback of prediction errors, disturbance window parameters are dynamically optimized, and self-adaptive evolution of an input feature structure is achieved; the capacity prediction precision and generalization ability of the energy storage system under the complex meteorological condition are improved, and the method is suitable for capacity management and scheduling optimization in distributed energy storage, micro-grids and other scenes.

The invention discloses an optimal scheduling method based on a multi-energy complementary micro-grid and an active power distribution network, which belongs to the technical field of power grid scheduling and comprises the steps of S1, existing scheduling problem identification including multi-energy system systematic defect analysis, source load fluctuation adaptability defect quantification, distributed energy consumption bottleneck identification and economy-reliability constraint conflict modeling; according to the optimal scheduling method based on the multi-energy complementary micro-grid and the active power distribution network, the defects of insufficient multi-energy coordination, poor source load fluctuation adaptation and the like are diagnosed firstly, and then an energy storage multi-space-time coordination, wind-light output prediction and flexible load response model is constructed; through hierarchical optimization, multi-energy flow-power distribution network linkage, multi-target weight dynamic adaptation and dynamic safety margin adjustment landing, the distributed energy consumption rate and the multi-energy cooperation efficiency can be effectively improved, the power supply reliability, economy and environmental protection performance are balanced, the toughness of an electric power system to deal with uncertainty is enhanced, and the power supply efficiency is improved. And an efficient scheduling scheme is provided for novel power system construction.

The invention discloses a village island micro-grid virtual synchronous machine parameter optimization and cooperative control method oriented to frequency support, and relates to the technical field of electrical automation, and the method comprises the steps: obtaining village power distribution network parameters and load side parameters, and basic technical parameters of each virtual synchronous machine unit; constructing a standard dynamic model of the virtual synchronous machine based on the obtained parameters; introducing uncertainty integrated design on the basis of the standard dynamic model of the virtual synchronous machine, and performing equivalent aggregation on all the virtual synchronous machines to obtain a virtual synchronous machine uncertainty model; based on the uncertainty model of the virtual synchronous machine, establishing a cooperative control model by taking system frequency fluctuation minimization as a target; and solving the cooperative control model by using a commercial solver, and solving the power of each device. According to the invention, by constructing an optimization and cooperative control mechanism oriented to frequency support, the problem of over-limit of frequency deviation and frequency change rate is effectively suppressed, and the dynamic response capability of the island micro-grid under the condition of sudden load change is improved.

A meter socket adapter (MSA) for connecting a battery energy storage system (BESS) to a household microgrid through a meter combo load center. The MSA includes: a housing matching an electricity meter and a meter socket in the meter combo load center; a plurality of power conductors that connect among the electricity meter, the meter socket, and BESS; a meter interconnection device (MID) switch for connecting a utility grid or one or more distribution energy resource (DER) devices to supply power to household loads in the household microgrid; a MID driving circuit for driving the MID switch to close or open; and a MID connection detection circuit to verify an electrical connection of a closed MID switch.

The present invention proposes a control method and system for automated handling equipment on a dedicated transport line. The method includes: constructing a microgrid-based local environment model to collect and transmit equipment status information; performing task assignment and path planning for automated equipment based on the microgrid environment model; dynamically optimizing global task assignment and path planning based on task assignment and path planning within each microgrid; and monitoring the execution of the optimized task assignment and path planning in real time, dynamically adjusting the execution order of tasks and path planning through an intelligent scheduling algorithm, and making flexible adaptive adjustments based on resource status and environmental changes. By combining a microgrid network with an ant colony algorithm, the present invention solves the problems of single-point failure risk, poor path planning adaptability, and inflexible task scheduling in traditional automated transport systems, providing a new solution for the efficient, reliable, and flexible operation of automated transport lines.

The invention provides a cooperative control method for park-level multi-microgrid participation in power grid interaction, and the method comprises the steps: obtaining power grid real-time data of a power grid platform and multiple microgrids, and each microgrid comprises a distributed power supply, an energy storage unit and a load; obtaining a power grid operation state according to the power grid real-time data, wherein the power grid operation state comprises a grid-connected mode and an off-grid mode; performing energy management analysis based on the power grid operation state and the power grid real-time data, and generating a control instruction; based on the control instruction, carrying out frequency voltage stability control on bottom layer equipment of the multiple microgrids; and making an electric energy transaction strategy based on the control instruction and the multiple microgrids. According to the invention, stable control in the micro-grid is realized, and the economy, stability and operation efficiency of the multi-micro-grid system are improved.

The invention discloses a cluster microgrid low-carbon collaborative scheduling method and device based on a diffusion model. The method comprises the steps of new energy output scene generation, carbon flow modeling, carbon price mechanism design, distributed robust optimization model and Nash game model construction and solution, and final output of a day-ahead scheduling scheme. Wherein the diffusion model is adopted to generate a new energy power generation power scene, and under the background that the permeability of the new energy is continuously increased, the uncertainty characteristics of the output of the new energy can be described more accurately; through modeling learning of real historical data, the representativeness of the generated data is improved, and the authenticity of scene data is enhanced; the credibility improvement of the data provides a more stable input basis for the scheduling model, so that the reliability of an optimized scheduling result is remarkably improved; and finally, the safety and the economical efficiency of the power system in the case of new energy uncertainty are guaranteed, and effective support is provided for day-ahead scheduling.

The invention discloses an island micro-grid distributed cooperative control method based on local information and a storage medium, and belongs to the technical field of micro-grids, and an island micro-grid system comprises a converter of network construction type control and network following type control. And according to local information, the network tracking type control adopts a maximum power point tracking point tracking (MPPT) algorithm to control power output. The reactive power of the network construction type control parallel converter is output and distributed according to the fixed voltage regulation droop coefficient; and the active power of the network construction type control parallel converter is output and distributed according to the frequency modulation droop coefficient adaptively updated based on local information. According to the method, power instruction distribution of island micro-grid and network type control and network construction type control is generated by local information, instruction distribution of upper-layer centralized control does not need to be carried out, plug and play, flexible reconfiguration and decentralized control of an island micro-grid inverter can be realized, and the method has relatively good practicability.

The invention discloses a wind, light and green power coupled pumping unit well group operation collaborative optimization method. The method comprises the following steps: acquiring field data of a multi-energy micro-grid pumping unit well group; establishing a wind and light output uncertainty model, an energy storage battery model, a pumping unit power model and bidirectional AC / DC converter equipment; based on each model, establishing a multi-objective optimization scheduling model for the intermittent pumping operation of the multi-energy micro-grid pumping unit well group; an NSGA-II method is adopted to solve the established multi-objective optimization scheduling model, and a Pareto optimal scheduling scheme is obtained; and carrying out comprehensive evaluation and decision analysis based on an entropy weight TOPSIS method, and selecting an optimal scheme from a Pareto optimal scheduling scheme set obtained by NSGA-II. According to the multi-energy micro-grid rod-pumped well group off-peak interval pumping operation multi-objective optimization method based on NSGA-II and entropy weight TOPSIS, the power utilization requirement of the rod-pumped well group can be met, the working system of rod-pumped well group interval pumping operation is optimized, the economical efficiency and stability of the operation of a rod-pumped well interval pumping system under a wind-solar storage micro-grid are ensured, and the green power consumption capability of the system is enhanced.

A micro-grid optimization operation strategy based on risk management and mixed game comprises the following steps: establishing a multi-main-body system framework of a micro-grid containing a plurality of wind and light users, a shared energy storage network and a power distribution network, and analyzing a micro-grid benefit model based on a conditional value-at-risk theory to balance economic benefits and value-at-risk; on the basis of a master-slave game, a proper-alliance-oriented decision-making thought is fused, a master-slave alliance interaction model with the benefit maximization of an upper-layer micro-grid and a lower-layer user alliance as a target is constructed, and a multi-user electric energy sharing cooperative game model is established based on an asymmetric Nash bargaining theory; an improved differential evolution algorithm is adopted to solve the master-slave Litishan game interaction model, and the cooperative game benefit distribution problem is solved in a distributed mode through ADMM, so that the optimal solution of the multi-user electric energy sharing cooperative game model is obtained, namely, the optimal microgrid optimization operation strategy is obtained. According to the strategy, economic benefits of the microgrid and the user alliance are effectively considered, and fair distribution of cooperation benefits is realized on the premise of protecting user privacy.

The invention discloses a distributed power supply coordinated micro-grid anti-islanding protection coordinated control method and system, and the method comprises the steps: judging system disturbance types based on single-ended information, and enabling the system disturbance types to comprise a fault disturbance type and an islanding disturbance type; on the basis of a system disturbance type judgment result, micro-grid grid-connected point self-adaptive anti-islanding protection action is carried out; after an anti-islanding protection action is matched, grid-connected and off-grid conversion and an operation state of the distributed power supply are controlled in a coordinated manner based on a system disturbance type; and the microgrid grid-connected point adaptively controls the automatic re-grid connection of the distributed power supply based on the self-healing condition of the superior power grid. According to the method, micro-grid anti-islanding protection and distributed power supply grid connection and disconnection are controlled in an overall coordination mode after disturbance occurs, the system power supply recovery time during transient faults is shortened, and the running flexibility and reliability of a micro-grid group are enhanced.

The invention discloses a new energy low-carbon operation scheduling method and system for an island microgrid, and the method comprises the steps: generating a day-ahead scheduling plan with the minimization of the weighted average carbon emission intensity of a system as a core target through an upper-layer day-ahead optimization model based on load prediction data and renewable energy power prediction data; according to the day-ahead scheduling plan, generating an adjustment instruction of output of each unit through a lower-layer intra-day rolling optimization model; based on the adjustment instruction, calculating the wind and light abandoning power of the renewable energy source, and optimizing the renewable energy source consumption through a cost punishment mechanism; according to the optimized unit output and renewable energy consumption scheme, coordinating a charging and discharging strategy of an energy storage system to obtain an optimized scheduling instruction; and executing the scheduling instruction, and updating the system state through a closed-loop feedback mechanism. According to the embodiment of the invention, power balance and low-carbon operation of the island microgrid under a complex fluctuation working condition can be realized, and the utilization rate of renewable energy sources and the overall environmental protection property of the system are improved.