192 results about "Grid energy storage" patented technology

The invention discloses a power grid energy storage capacity demand determination method and system based on multiple time scales, relates to the technical field of power grid energy storage capacity demand calculation, and aims to solve the problem of inaccurate energy storage capacity demand calculation. By generating multiple scenes, quantitatively screening key scenes and incorporating various uncertain factors, energy storage capacity calculation focuses on high-influence scenes, the coping capacity of the scheme to actual risks is enhanced, decision scientificity is improved, ultra-short-term to long-term multi-time scales are divided, core contradictions of all the scales are captured in a targeted mode, limitation of a single scale is avoided, and energy storage capacity calculation efficiency is improved. According to the method, capacity requirements and equipment distribution are integrated, operation rules are defined, visual documents are generated, multi-scale energy storage cooperative operation is achieved, the stability of a power grid is guaranteed, meanwhile, cost is reduced, scheme landing performance and operation efficiency are improved, multi-time-scale power grid state prediction is carried out based on a dynamic database, and historical rules and real-time data are combined, so that the power grid state prediction efficiency is improved. And the prediction coordination is ensured through multi-dimensional verification.

The invention discloses a multi-source information fusion-based dynamic cooperative regulation and control method for a transmitting-end power grid energy storage station, and relates to the field of power grid energy storage regulation and control. The method comprises the following steps: compressing global heterogeneous data, and extracting a low-dimensional critical feature flow; constructing a dynamic coupling potential energy field, and quantifying gradient intensity to capture recessive instability; generating a layered fractal regulation strategy, resolving conflicts and outputting an instruction and a residual error; constructing a topological phase change trigger network, and triggering regulation and control through spectrum gap jump; causal tracing and model evolution are carried out, and parameters are optimized to form a closed loop. According to the invention, through fractal cooperation, topological response and evolution closed loop, regulation and control collaboration, instability response speed and system adaptability are improved, and safe and stable operation of a power grid is guaranteed.

The invention discloses a network construction type energy storage optimization method and system based on power grid strength constraint, and belongs to the technical field of power grid energy storage optimization. Obtaining a reduced frequency domain admittance matrix based on power synchronization control and a node admittance matrix of the power system; constructing an optimization target model of the power system according to the multi-dimensional stability evaluation index and the reduced frequency domain admittance matrix; constructing a double-layer reinforcement learning model which comprises a first TD3 model and a second TD3 model, and repeating alternate iteration of the first TD3 model and the second TD3 model until an optimization target model of the power system is met; and obtaining a selection node and a capacity of the network construction type energy storage unit output by the first TD3 model when the optimization target model of the power system is satisfied, and taking the selection node and the capacity as a network construction type energy storage optimization configuration result of the power system. According to the invention, efficient site selection and constant volume of the network-forming type energy storage system can be realized, and the stability and the new energy accepting capability of a power system are improved.

The invention relates to the technical field of power grid energy storage control, and particularly discloses a network construction type energy storage system and a control method thereof, and the system comprises a parameter collection module which obtains the voltage, frequency, short-circuit capacity ratio, phase angle and other power grid operation parameters of a grid-connected point in real time; the scene recognition module judges the power grid scene of the energy storage system according to the acquired parameters, wherein the power grid scene comprises a weak power grid scene, a fault scene, an oscillation scene, a phase angle jump scene and a power loss scene; the strategy library module stores control strategies for each scene, including active / reactive control, active / reactive decoupling, overload support, low-frequency oscillation suppression, phase angle stabilization and black start strategies; and the adaptive control module retrieves and calls a corresponding strategy from a strategy library according to an identification result, performs adaptive control on the energy storage system, and realizes intelligent response and stable support for a complex power grid environment. According to the invention, intelligent response and stable support of the energy storage system to a complex power grid environment are effectively realized.

The invention relates to the technical field of power system energy storage optimization, and discloses a terminal micro-grid energy storage optimization configuration method and system and a computer readable storage medium. Comprising the steps of generating load demand probability distribution and a new energy output confidence interval through deep learning and Bayesian probability modeling based on historical load and new energy monitoring data, extracting boundary parameters and mapping the boundary parameters into a quantum state initial solution set, and generating a quantum coding instruction set; a quantum algorithm population is initialized, a non-dominated solution set sequence is generated through quantum gate evolution operation, and a Pareto leading edge output optimization configuration scheme is screened; verifying feasibility in combination with local voltage data, and generating an executable control instruction set after fine tuning of capacity-position weight; and driving the energy storage unit to execute charging and discharging operation, collecting operation data, updating model parameters, finally separating probability weights and quantum deviations, adjusting a Bayesian model and resetting quantum gate parameters to generate a calibration instruction set. According to the invention, the energy storage configuration efficiency and precision can be obviously improved.

The invention relates to the technical field of power grid energy storage regulation and control, in particular to a power grid energy storage regulation and control method and system considering source-storage-load collaborative interaction. The power transmission node information of the power grid system and the power utilization information of each terminal user are acquired, the power grid system is divided into a plurality of virtual energy storage clusters according to the power transmission node information, and load fluctuation characteristic analysis is performed on the power utilization data of all the terminal users of each virtual energy storage cluster; determining a first importance degree of each load area to the electric energy demand; obtaining a second importance degree of each load area in an abnormal state according to the load power change before and after the power generation fault; and according to the first importance degree and the second importance degree of each load area, correspondingly configuring the electric energy guarantee priority of each load area and supplying power until the power generation fault is repaired. According to the technical scheme, after the power grid system has a power generation fault, cooperative adjustment of the energy storage station, the power supply station and the load end is realized, and the accuracy of electric energy distribution is effectively improved.

The invention provides a power grid energy storage system coordinated charging and discharging method considering reactive power regulation, and belongs to the technical field of power grid energy storage systems. Through collecting operation data of a power grid side and each energy storage unit, a multi-physics field coupling prediction model is used to predict a capacity attenuation rate and a temperature field evolution track of the energy storage unit; the reactive power regulation task load of each energy storage unit converter is calculated according to the reactive power vacancy of the power grid, a decoupled reactive power regulation instruction set is generated through multi-band decoupling control, a thermodynamic optimization function is established with the purpose of minimizing the total entropy increase of the system, and the non-convex constraint is converted into the second-order cone constraint through the convex relaxation technology. The optimal charging and discharging power time sequence is solved by using the improved particle swarm algorithm and is converted into a converter control instruction to be issued and executed, and the technical problem that battery health management and power grid power balance are difficult to consider when the energy storage system undertakes power grid reactive power adjustment is solved.

The invention relates to the field of micro-grid control, in particular to an energy storage charging and discharging multi-objective optimization method and system based on reinforcement learning, and the method comprises the steps: firstly obtaining historical operation data and current operation data of an energy storage system, and a driving factor which influences the change of the historical operation data; inputting the historical operation data and the driving factor into an LSTM-based fuzzy controller for training to obtain a target function with a multi-target dynamic weight, inputting the current operation data into a prediction controller, supervising the prediction controller by the target function for solution, and solving to obtain a reference charging and discharging track in a period of time in the future; and finally controlling the energy storage system to charge and discharge according to the reference charge and discharge track. Compared with the prior art, the method provided by the invention solves the problems of low flexibility and reliability of energy storage charging and discharging adjustment of the micro-grid.

The application provides a test method of a power grid based on RTDS and energy storage signal interaction simulation system, comprising: running a real-time digital simulation system, and issuing a start-up instruction by a storage converter; a battery model real-time simulation machine in a hardware-in-the-loop test system charges according to the start-up instruction; the frequency of a power grid model in a real-time simulation host is adjusted to a trigger threshold of primary frequency modulation, and a discharge instruction is issued by the storage converter; the battery model real-time simulation machine outputs active power according to the discharge instruction, and discharges according to the discharge current, and the discharge process is fed back to the real-time digital simulation system through a battery management system. The application also provides a power grid based on RTDS and energy storage signal interaction simulation system. Through the real-time digital simulation system, the storage converter, the hardware-in-the-loop test system and the battery management system, synchronous simulation of the power grid-energy storage is performed, and a real application scenario of charging, discharging, start-up and shutdown real-time adjustment of the energy storage container during grid connection is simulated.

The invention discloses a regional power grid energy storage multi-point layout strategy optimization method, and relates to the technical field of power grids, and the method comprises the following steps: obtaining historical energy storage layout characteristics of a historical regional power grid, comprehensive energy storage verification conditions corresponding to different distribution conditions between load density regions and power grid nodes in the historical regional power grid are obtained; processing and analyzing the historical energy storage layout features to obtain a first energy storage correlation coefficient, a second energy storage correlation coefficient and a third energy storage correlation coefficient; obtaining a target regional power grid of the to-be-optimized energy storage layout; according to the first energy storage correlation coefficient, the second energy storage correlation coefficient and the third energy storage correlation coefficient, energy storage demand adjustment of the target regional power grid in the actual operation process is predicted to obtain a first energy storage demand value; the method has the effect that the initial energy storage layout scheme is optimized and adjusted according to the actual energy storage demand value.

The invention relates to an AC / DC hybrid power distribution network energy storage optimization configuration method considering a carbon transaction mechanism. The method comprises the following steps: constructing a carbon transaction mechanism mathematical model oriented to an AC / DC hybrid power distribution network; combining the carbon transaction mechanism mathematical model to establish an AC / DC hybrid power distribution network energy storage double-layer planning model; and solving the AC / DC hybrid power distribution network energy storage bilevel programming model by using an improved multi-target particle swarm optimization algorithm fused with chaos initialization. According to the method, a reasonable energy storage configuration scheme can be obtained, so that the vulnerability of the system and the carbon emission generated by operation are reduced, and the power balance maintaining capability of the system is improved.

The embodiment of the invention provides a control method and device of an energy storage system, the energy storage system and a storage medium, and the energy storage system comprises a load, an energy storage converter, an energy storage battery and a power distribution gateway. The energy storage battery is connected to the energy storage converter, and the energy storage converter is connected to a load and a power grid through the power distribution gateway. And a change-over switch is arranged between the energy storage converter and the power distribution gateway. The method comprises the steps of obtaining a voltage signal of a power grid, and extracting a voltage parameter corresponding to the power grid based on the voltage signal; determining a target state corresponding to the power grid based on the voltage parameter; adjusting the voltage output by the energy storage converter based on the voltage parameter and the target state; and controlling a change-over switch to perform state switching based on the target state so as to enable the energy storage converter to perform electric energy interaction with a load or a power grid. The method is used for solving the problems of power supply voltage interruption and impact current caused by switching action delay and the like in a traditional switching mode, and meanwhile, the dynamic adaptability and switching reliability of the system are judged and improved through multi-parameter fusion.

The invention discloses a micro-grid energy storage multi-stage economic dispatching method, system and device based on differential evolution and a storage medium, solves the problem of how to improve micro-grid energy storage dispatching efficiency, and belongs to the field of power system operation and control. Comprising the following steps: generating a forced charging baseline instruction of which the system net power accords with a photovoltaic surplus period threshold; setting a power upper limit to initialize population individuals of a differential evolution (DE) algorithm, and generating a test vector; superposing the forced charging baseline instruction and the test vector to synthesize a preliminary attempt power, correcting a capacity boundary exceeding a capacity constraint, and outputting a first correction power; superposing the first corrected power and the system net power to synthesize a system net load, and outputting second corrected power when the corrected system net load is greater than a power boundary of a threshold value; constructing a high-fidelity objective function to execute DE optimization, and outputting an optimal individual to perform microgrid energy storage scheduling control; according to the method, the nonlinear battery life loss and the refined peak-valley arbitrage economy are taken into consideration under the condition that the physical operation safety of the bottom layer is guaranteed.

The invention provides a micro-grid energy storage planning method, device and equipment based on a power supply capacity curve, and relates to the technical field of micro-grid planning. The method comprises the following steps: constructing a power supply capacity curve model corresponding to a micro-grid based on grid parameters of the micro-grid; based on the power supply capacity curve model, determining a full-load element in the micro-grid; based on the full-load element, determining an effective node for energy storage access in the micro-grid; respectively calculating power supply capacity curves corresponding to the micro-grid when the stored energy of different capacities is connected to different effective nodes; and based on the power supply capacity curve, determining the optimal position and the optimal capacity when the stored energy is accessed to the micro-grid. According to the invention, the power supply capability of the micro-grid can be improved through energy storage planning, and load supply is stably guaranteed.

This invention discloses a distributed photovoltaic distribution network energy storage scheduling method based on cloud-edge collaboration, belonging to the field of cloud-edge collaboration technology. This method includes: S1, performing time alignment, boundary verification, and standardization processing on operational boundary data and field operational data; S2, performing cloud-based plan support analysis to generate cloud-based planned charging and discharging power and direction; S3, performing edge-end voltage flow adaptation analysis to generate adaptation markers; S4, performing edge-end correction acceptance analysis to generate corrected charging and discharging power and cloud recalculation requests; and S5, executing scheduling instructions, sending back edge-end execution receipts, and archiving data. This method solves the problem that existing methods, which focus on global power balance and energy storage access point charge state constraints, lack synchronous adaptation judgment of energy storage actions, local node voltage boundaries, and feeder flow direction before edge-end execution, easily leading to cloud-based plans being feasible but edge-end local voltage states not being compatible.

The invention discloses a coal-fired power plant quick response system and method based on thermochemical energy storage, which are applied to the field of power grid energy storage and comprise a coal-fired power generation unit, a carbon capture unit, an energy storage unit and a power generation unit. The coal-fired power generation unit comprises a boiler, a steam turbine, a power generator and a regenerative system; the carbon capture unit comprises an absorption tower, a separation tower and a reboiler; the energy storage unit comprises a dry air pump, an air heater and a thermochemical energy storage reactor. The medium-pressure cylinder is connected with the air heater through steam extraction, the low-pressure cylinder is connected with the inlet of the reactor through steam extraction, and steam at the outlet of the reactor is supplied to the reboiler and the organic Rankine cycle power generation unit. Waste heat of a cooler of the carbon capture unit is recycled and used for preheating organic working media, and energy gradient utilization and rapid peak regulation are achieved. According to the invention, an energy storage-energy release bidirectional operation mechanism is constructed through the thermochemical energy storage unit, the problems of output reduction and slow response during peak regulation of the carbon capture power plant are solved, more steam is used for power generation, the peak regulation range is widened, and the response rate is improved.

The utility model provides an energy storage system with an arc discharge detection function between battery clusters, which comprises a power transmission network, an energy storage converter and a plurality of energy storage battery cabinets, one end of the energy storage converter is connected with the power transmission network, and the other end of the energy storage converter is connected with the plurality of energy storage battery cabinets. An arc discharge detection device is connected to the joint of each energy storage battery cabinet and the energy storage converter, and the arc discharge detection devices are connected with an electric power control system. The utility model relates to the field of electrical technology.

The invention belongs to the technical field of dual-carbon strategy and peak regulation and supply guarantee, and particularly discloses an enhanced geothermal system and method for power grid energy storage and peak regulation, and the enhanced geothermal system comprises a drilling unit, a reservoir and an organic Rankine cycle system. The reservoir is communicated with the injection well through the first high-pressure water pump, the liquid pumping end of the first high-pressure water pump is connected with the reservoir, and the liquid injection end of the first high-pressure water pump is connected with the injection well; when a power grid system is in a power generation peak, a first high-pressure water pump is driven by electric power to inject water in a reservoir into a first rock crack and a second rock crack through an injection well so as to press the first rock crack and the second rock crack to open and accumulate elastic potential energy; and when the power grid system is in a load peak, the accumulated elastic potential energy is utilized to drive high-pressure fluid in the production well to be reversely discharged to the organic Rankine cycle system so as to provide electric energy for the power grid system. According to the method, the limitation of low energy storage density of a single well is overcome, and risks caused by complex regulation and control and high technical requirements of multi-branch wells are avoided.

The invention discloses a micro-grid system energy storage capacity optimal configuration method, system and device adapting to a multi-element power market, and relates to the technical field of power systems, the method comprises the following steps: acquiring and processing an unbalanced power signal in a micro-grid system, and obtaining a corresponding power instruction according to an energy storage characteristic; and based on the power instruction and the optimal capacity planning configuration, solving a dynamic optimization configuration model, and obtaining a multi-power market day-ahead optimal joint bidding strategy of the micro-grid system. According to the method, the day-ahead optimal joint bidding strategy is obtained based on the power instruction and the optimal capacity planning configuration according to the external multi-power market prediction information participated by the micro-grid system, the internal power balance demand of the micro-grid energy storage system is preferably met, the capacity and power configuration of the micro-grid energy storage system is reasonably configured, and the optimal capacity of the micro-grid energy storage system is optimized. Stable operation of the micro-grid energy storage system is guaranteed, and efficient utilization of energy storage resources of the micro-grid energy storage system is achieved.

Electrolyte formulations for lithium-ion batteries are disclosed that enable high-voltage operation, improved cycle life, reduced impedance, and enhanced safety. The formulations comprise an aprotic organic solvent, a lithium salt, and an epoxide functionalized organic compound, and may further include additives such as organosulfur compounds, alkyl nitriles, fluorinated aliphatic esters, cyclic carbonates, partially fluorinated phenyl phosphate esters, and fluorinated cyclic phosphazenes. These components synergistically stabilize the cathode electrolyte interface (CEI), mitigate oxidative decomposition at elevated voltages, and impart flame-retardant properties. Electrochemical energy storage devices incorporating these formulations exhibit superior performance under high-voltage and high-temperature conditions, making them suitable for applications such as electric vehicles, aerospace systems, and grid storage.

The present application relates to the technical field of battery health monitoring and early warning system, and particularly relates to a micro-grid energy storage warehouse battery health monitoring and early warning system, which comprises a multi-source signal acquisition module, an edge intelligent processing module, a cloud centralized monitoring module, a multi-stage early warning response module and a heat dissipation unit; the multi-source signal acquisition module comprises a high-frequency sampling unit and a signal conditioning unit; the multi-source signal acquisition module is used for parallel connection to the micro-grid energy storage warehouse battery system, high-frequency synchronous acquisition of battery voltage, current, temperature and pressure difference signals is realized through a sensor group and a multi-channel high-frequency sampling unit, then after filtering, noise reduction and amplification by the signal conditioning unit, the standardized signals are transmitted to the edge intelligent processing module; from data acquisition and processing to early warning response, a complete closed loop is formed, the safe and stable operation of the micro-grid energy storage warehouse battery is effectively guaranteed, the fault risk is reduced, the operation and maintenance efficiency is improved, and support is provided for reliable power supply of the micro-grid.

The application discloses a hybrid energy storage integration method and device based on energy storage selection, a terminal device and a storage medium, and belongs to the technical field of energy storage. The method comprises the following steps: calculating the scene matching degree of the to-be-integrated energy storage and the to-be-integrated energy storage application scene according to power grid energy storage data, real-time sensor data and simulation data, and screening out a target energy storage type according to the degree of electricity cost in the operation cost data; constructing a power distribution model and operation power, equipment state safety, energy storage operation environment and application scene constraints according to power grid topology data, power grid energy storage data, real-time sensor data and operation cost data; taking the minimum comprehensive operation cost as a target, solving the model under each constraint to obtain a current power distribution amount, calculating a selection adaptation degree according to real-time sensor data, energy storage rated power, the current comprehensive operation cost and the average degree of electricity cost; and determining a final power distribution amount and integrating operation according to the selection adaptation degree. Through implementation of the application, the problem that existing technologies cannot dynamically integrate energy storage is solved.

The application relates to a micro-grid energy storage optimal scheduling method based on absolute value linearization, and belongs to the technical field of energy management and automatic control, and comprises the following steps: constructing a micro-grid system mixed integer nonlinear programming model containing renewable energy, load, energy storage and grid interaction; analyzing how a multi-objective cooperative optimization problem such as battery life protection and power smoothing is converted into a weighted total cost minimization problem with a penalty term; adopting an absolute value linearization modeling method to convert the nonlinear programming problem into a mixed integer linear programming problem; and adopting a branch and bound algorithm to solve the converted linear programming model, so that a globally optimal energy storage charging and discharging and grid interaction scheduling plan is obtained.

The invention relates to a complex power distribution network energy storage locating and sizing method, system and device and a medium, and the method comprises the steps: obtaining operation data, and constructing a corresponding operation constraint condition according to the operation data; based on the operation data and the operation constraint conditions, performing simulation analysis on the operation states of the complex power distribution network at a plurality of preset moments, and determining a key index system; generating a comprehensive target of energy storage optimization configuration according to the key index system; based on the comprehensive target and the operation constraint condition, a preset energy storage optimization configuration double-layer model is adopted, the energy storage power station layout is used as an optimization object through an outer-layer configuration optimization sub-model, an energy storage power station operation strategy is used as an optimization object through an inner-layer scheduling optimization sub-model, iterative solution is conducted on the optimization object according to the comprehensive target, and the energy storage power station layout is obtained. And obtaining an energy storage power station layout and operation strategy until the comprehensive target reaches a preset convergence condition. The method has the effect of improving the effectiveness of the energy storage power station configuration scheme.

The application provides an offshore island micro-grid energy storage configuration method and device considering steady-state and transient multi-time scale demand, and the method comprises the following steps: constructing a first operation model and a second operation model of the island micro-grid, the first operation model and the second operation model respectively reflect the relationship between the physical parameters of non-energy storage equipment and energy storage equipment in the micro-grid, and the energy storage equipment comprises energy-type energy storage equipment and power-type energy storage equipment; constructing a frequency response model of the micro-grid; constructing a constraint condition based on the physical parameters of the equipment in the micro-grid and the frequency response model; solving a target optimization function based on the first operation model, the second operation model, the frequency response model and the constraint condition to obtain an energy storage configuration scheme in the micro-grid, and the optimization target of the target optimization function is the maximum cost difference before and after the energy storage equipment is configured in the micro-grid. The application can reduce the offshore island micro-grid energy storage configuration cost.

This application relates to an automatic startup method for an off-grid energy storage system. The method includes: detecting that the DC output voltage of the photovoltaic array reaches a first preset threshold, charging the supercapacitor bank; when the voltage rises to a second preset threshold, connecting the charged supercapacitor bank to power the system's main controller and battery management system, and sending a startup command to the photovoltaic MPPT DC-DC module to charge its DC-side bus capacitor. The DC bus voltage reaches the startup threshold of the energy storage converter (PCS). After the PCS completes its internal self-test and meets the startup conditions, it performs independent inversion to establish a stable AC output voltage. At this time, the main system power supply is established. The automatic switching circuit detects that the main system power supply is valid and seamlessly switches the power supply from the startup power supply to the main system power supply. This process allows the off-grid energy storage system to autonomously recover from power failure using only photovoltaic energy when there is no external power supply or manual operation, improving system reliability, economy, and environmental adaptability.

The invention provides a regional power grid-energy storage integrated energy system configuration optimization method and device, equipment and a storage medium. The regional power grid-energy storage integrated energy system configuration optimization method comprises the following steps: constructing a renewable energy output model, an energy storage model and an electric vehicle charging load probability model within an energy system range; wherein the electric vehicle charging load probability model is established based on generalized extreme value distribution; based on the renewable energy output model, the energy storage model and the electric vehicle charging load probability model, constructing a mixed integer linear programming model of the energy system; wherein the mixed integer linear programming model takes the minimization of the full life cycle cost of the energy system as an optimization target, and takes the full life cycle carbon emission of the energy system as an optimization constraint condition; and according to the mixed integer linear programming model, obtaining an optimal configuration scheme of the renewable energy capacity and the energy storage capacity in the energy system.

The invention discloses a power distribution network energy storage configuration method and system and a storage medium, and the method comprises the steps: taking a governance demand node of which the time-space complementary parameter is lower than a set threshold value as an insufficient governance node according to the time-space complementary parameter of each governance demand node in a power distribution network region; calculating a power demand and a capacity demand of the energy storage device according to the to-be-governed capacity of the insufficient governed node; an energy storage configuration optimization model is constructed based on the space-time complementary parameters and the power demand and the capacity demand of the energy storage device, and the optimization model takes the minimum energy storage full life cycle cost as an objective function on the basis of considering the space-time complementary parameters before and after comparison treatment. The constraint conditions of the optimization model comprise a power demand constraint, a capacity demand constraint, a charge state constraint and a charge and discharge state constraint; based on the optimization model of energy storage configuration, optimal configuration parameters of energy storage are solved; according to the method, optimal matching of the energy storage resources and the governance gap on the spatial-temporal scale is realized, and the governance efficiency and the utilization rate of existing assets are improved.

The invention discloses a control device, a computer readable storage medium, an energy storage system, an optical storage power generation system, a DAB type inverter and an off-grid operation control method thereof, and relates to the technical field of new energy power generation, in the DAB type inverter, each primary side conversion circuit is connected in parallel to a secondary side conversion circuit through a corresponding transformer; under the structure, the controller can enable the DAB type inverter to enter the off-grid mode by taking the preset off-grid voltage as the alternating-current side voltage control target of the DAB type inverter and adjusting the alternating-current side current of each primary side conversion circuit, so that the blank of a control scheme for enabling the DAB type inverter to enter the off-grid mode in the prior art is filled. And power control is carried out on at least one of the energy storage equipment and the photovoltaic module, so that the off-grid energy storage function of the DAB type inverter can be realized.