282 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 relates to the technical field of energy storage configuration, in particular to an energy storage configuration method and system for a photovoltaic off-grid system, and the method comprises the following steps: obtaining illumination intensity and component output change, recognizing a slope abrupt change section, marking the change trend, extracting the difference between the energy storage change and the power generation direction, and grouping a delay response time period; and extracting operation paths, sorting and matching the operation paths to a response section, setting a multiplying power change direction, synchronizing unselected path states, sequentially arranging adjustment instructions, and writing the adjustment instructions into a control channel to obtain a photovoltaic off-grid energy storage configuration scheme entry set. According to the method, a change section is constructed by identifying sudden change of a power slope, response lag adjustment is set by combining energy storage and power generation direction comparison, rate matching is carried out, charge state and discharge fluctuation double indexes are introduced through path sorting, path selection precision is improved, rate setting is adjusted in parallel according to priorities, and an adjustment instruction is generated in cooperation with time mapping. And the energy storage response and control synchronism in the sudden change scene is enhanced.

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 provides a grid-connected and off-grid seamless switching method and system for a network-constructed energy storage micro-grid, belongs to the technical field of grid-connected and off-grid switching, and realizes rapidity and stability of micro-grid mode switching through multi-stage cooperative control. The method comprises the following steps: a power grid state real-time monitoring stage: acquiring power grid short-circuit capacity, impedance angle, voltage amplitude, frequency and phase parameters through impedance spectrum analysis and phase-locked loop cooperative detection; a pre-synchronization-hybrid control-dynamic damping three-stage switching stage; a steady state maintaining stage: maintaining a system damping ratio gt through a multi-target cooperative controller; and in the whole switching process, the bus voltage fluctuation is less than or equal to 2%, and the frequency deviation is less than or equal to 0.1 Hz. According to the method, MPC pre-synchronization, hybrid control of dynamic weight, virtual impedance adaptive compensation and multi-target collaborative optimization are controlled through model prediction, so that the problems are solved, seamless switching is realized, and the quality of electric energy is improved.

The invention provides a network construction type energy storage wide short circuit ratio adaptive stability control method and system, and the method comprises the steps: carrying out the calculation based on a power grid energy storage parameter, power grid impedance and energy storage impedance, and obtaining a dynamic short circuit ratio; according to the dynamic short-circuit ratio, switching the power grid operation condition mode to a power grid operation condition mode corresponding to the dynamic short-circuit ratio; in a power grid operation working condition mode, obtaining optimized virtual inductance resistance parameters or frequency-variable admittance regulator parameters; a corresponding control instruction is generated according to the virtual inductance resistance parameters or the frequency-variable admittance regulator parameters, and self-adaptive stability control is completed; real-time identification and dynamic adjustment of the power grid impedance and the energy storage impedance are achieved, traditional fixed parameter control limitation is broken through, the dynamic short-circuit ratio is obtained through calculation, the problem of power angle instability under the wide short-circuit ratio is solved, corresponding switching of power grid operation working condition modes can be conducted based on the dynamic short-circuit ratio, differential control requirements of a weak power grid and a strong power grid are considered, and the method is suitable for large-scale popularization and application. And the full-working-condition adaptive capacity is improved.

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.

Systems and methods for supplying power (both active and reactive) at a medium voltage from a DCSTATCOM to an IT load without using a transformer are disclosed. The DCSTATCOM includes an energy storage device, a two-stage DC-DC converter, and a multi-level inverter, each of which are electrically coupled to a common negative bus. The DC-DC converter may include two stages in a bidirectional configuration. One stage of the DC-DC converter uses a flying capacitor topology. The voltages across the capacitors of the flying capacitor topology are balanced and switching losses are minimized by fixed duty cycle operation. The DC-DC converter generates a high DC voltage from a low or high voltage energy storage device such as batteries and / or ultra-capacitors. The multi-level, neutral point, diode-clamped inverter converts the high DC voltage into a medium AC voltage using a space vector pulse width modulation (SVPWM) technique.

A hybrid load-energy storage system applicable to a microgrid of a hydrometallurgical plant, includes: a plurality of first electrical equipment, a plurality of second electrical equipment, first energy storage equipment, and second energy storage equipment. An electric usage priority of the first electrical equipment is lower than that of the second electrical equipment. The first energy storage equipment is on-grid and off-grid energy storage equipment, and the second energy storage equipment is grid-forming energy storage equipment. The first electrical equipment is connected to the first energy storage equipment via branches provided with first circuit breakers, and the second electrical equipment is connected to the second energy storage equipment via branches provided with second circuit breakers. The first second energy storage equipment are respectively connected to an AC bus via branches provided with a third and a fourth circuit breakers, and the AC bus is connected to an external power grid.

The present application relates to the field of power grid energy storage, and discloses a power grid energy storage method considering wind and light uncertainty and timing characteristics, comprising: obtaining wind and light load typical seasonal scenes by SOM clustering method for scene reduction, establishing a multi-time scale energy storage model considering long-term energy storage, and constructing a power grid wind and light storage stochastic programming model considering the economy and low carbon of power grid investment; the present application solves the power balance during the day by constructing a long-short-term multi-time scale hybrid energy storage model suitable for real conditions; and at the same time, the wind and light output uncertainty and the calculation efficiency are considered, typical scenes are generated by using the SOM clustering method, and wind and light load typical seasonal data sets are obtained, so as to ensure the calculation accuracy and improve the calculation efficiency.

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 present invention discloses a semi-physical simulation test platform and method for grid-type energy storage, which specifically relates to the field of simulation testing, including a digital twin collaborative modeling module, an impedance adaptive hardware coupling module, a grid control depth verification module, a multi-dimensional performance evaluation module, and an iterative optimization module. The present invention integrates a dynamic impedance network model and a virtual energy storage unit by constructing a grid-energy storage digital twin. The dynamic impedance network adopts a frequency-varying parameter transmission line equation and is generated by fitting measured impedance scan data. In the in-loop test, a full-band disturbance injection method is used to monitor the impedance characteristics. Under a preset weak grid operating condition, the virtual inertia and physical droop control parameters are coordinated. The multi-dimensional performance evaluation system quantifies system performance from three dimensions: dynamic response, stability margin, and transient energy function. When the phase margin deviation is greater than 15°, an iterative optimization mechanism is triggered, the virtual inertia coefficient is reconstructed, and verification is repeated until the stability threshold is met.

The invention relates to a battery fault detection method based on index normalization, and belongs to the technical field of battery fault detection, and the method comprises the following steps: S1, collecting real-time voltage data and corresponding time sequences of all cells of a power battery pack in a power grid energy storage system; s2, on the basis of the real-time voltage data and the corresponding time sequence, calculating the average value and the standard deviation of the voltage of each battery cell of the battery pack at each moment, and performing Z-score standardization processing; s3, subtracting 1 from the standardized result, taking an absolute value, and performing index mapping to obtain an exp (Z-1) value of each battery cell; s4, setting a fixed threshold value T, and comparing exp (Z-1) values of the battery cells at each moment; and when exp (Z-1) of a certain battery cell exceeds a threshold value T, judging that the corresponding battery cell is a fault battery cell. According to the invention, real-time detection of faults of the power battery of the electric vehicle and the energy storage system can be effectively realized, and the faulted single body can be accurately positioned.

This invention relates to a capacity planning method for microgrid energy storage devices, comprising the following steps: establishing a multi-state transition operation model for a reversible solid oxide battery, wherein the multi-state operation includes the reversible solid oxide battery being in a power generation state, an electrolysis state, a thermal standby state, and a shutdown state; constructing a two-layer capacity planning model for the energy storage device, wherein the upper layer constructs an objective function with the objective of minimizing the sum of the energy storage device investment cost, the equipment replacement cost, and the microgrid's total life cycle operating cost, and the lower layer constructs an objective function with the objective of minimizing the microgrid's total life cycle operating cost; combining the reversible solid oxide battery multi-state transition operation model, setting constraints on the upper-layer objective function and the lower-layer objective function; solving the upper-layer objective function and the lower-layer objective function under the constraints to obtain a capacity planning scheme for the reversible solid oxide battery, hydrogen storage device, and thermal storage device.

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 discloses a hybrid energy storage system and a control method. The system comprises a first type of energy storage equipment and at least one second type of energy storage equipment, the first type of energy storage equipment comprises a first energy storage medium and a first energy storage converter; the second type of energy storage equipment comprises a second energy storage medium and a second energy storage converter; the charging and discharging speed of the first energy storage medium is higher than that of the second energy storage medium; the first energy storage medium is connected with the direct-current side of the first energy storage converter, and the direct-current side of the first energy storage converter is connected with the direct-current bus; the second energy storage medium is connected with the direct-current side of the second energy storage converter, and the direct-current side of the second energy storage converter is connected with the direct-current bus; the alternating current side of the first energy storage converter and the alternating current side of the second energy storage converter are connected with the confluence point. When the power grid is abnormal, the plurality of energy storage converters work in parallel, the electric energy of the first energy storage medium is supplemented to the power grid, the rated current of the energy storage converters is set to be low, the stress of each energy storage converter is reduced, and the cost is reduced.

The invention relates to the technical field of power grid energy storage, and discloses a breeze power generation energy storage management method and system based on big data analysis. The method comprises the steps of obtaining future wind speed and other environmental data of an area where breeze power generation equipment is located; monitoring the current state of the energy storage module in real time, and extracting historical power generation data and a power grid transmission power sequence; obtaining a wind power parameter value through statistical analysis of the wind speed, setting a reference value of the energy storage module according to the wind power parameter value, and judging the variation tendency of the generating capacity; combining the current energy storage value, the reference value, the change tendency and historical data to formulate a charging and discharging state; predicting an electric power prediction value of the breeze power generation equipment, and calculating a first plan value of a second energy storage parameter of the energy storage module in combination with the historical transmission power sequence and the electric power parameter change interval; according to the charging and discharging state and the first planned value, a first charging and discharging strategy of the energy storage module in the first preset time is generated, the accuracy of breeze power generation energy storage management and the stability of a power grid are improved, and refined charging and discharging management is achieved.

The invention discloses a method for configuring the energy storage capacity of a large Sagolian base, and discloses a system and a medium with the method for configuring the energy storage capacity of the large Sagolian base, and the method for configuring the energy storage capacity of the large Sagolian base comprehensively considers the constraint of the frequency change rate and the constraint of the lowest frequency point, and combines simulation and a mathematical physical model to configure the energy storage capacity of the large Sagolian base. And a node inertia demand evaluation model is established, and then the minimum inertia demand required by the large base node is given. Aiming at the problems of high calculation cost, weak operability and the like of the existing regional large power grid-oriented energy storage configuration method, the invention provides a simulation + analysis-based network construction type energy storage capacity configuration method, an explicit expression of network construction type energy storage power and capacity is given in combination with a system frequency response characteristic and a network construction type energy storage control model and parameters, and the calculation cost of the network construction type energy storage capacity configuration method is improved. The physical significance is clear, and the calculation cost is greatly reduced.

The invention discloses a new energy consumption-oriented power grid-energy storage-load cooperative scheduling platform and a capacity configuration method, and belongs to the technical field of new energy consumption scheduling, and the platform comprises a data layer, a multi-objective optimization scheduling layer, a control response layer and a simulation evaluation layer. According to the invention, the platform stabilizes the output fluctuation of the new energy through the energy storage system, combines the flexible response of the load demand side, remarkably reduces the wind and light abandoning rate, improves the new energy consumption capability, provides a rapid adjustment capability for the energy storage and demand response resources of the platform, deals with the new energy prediction error and load sudden change, guarantees the stability of the frequency and voltage, and improves the energy consumption capability. According to the platform, long-term planning and short-term scheduling can be combined, investment economy and operation reliability are both considered, the whole platform reduces the start-stop frequency and fuel consumption of a thermal power peak regulation unit by optimizing an energy storage charging and discharging strategy and load demand response, energy storage capacity configuration is optimized through a two-stage stochastic programming model, and the energy storage capacity configuration is optimized. And excessive investment is avoided.

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 invention provides a micro-grid energy storage optimization scheduling method based on predictive control, and belongs to the technical field of micro-grid energy storage, and the method comprises the steps: building a state space mathematical model containing dynamic characteristics through collecting the operation parameters of energy storage equipment, building a double-layer game optimization framework to coordinate multiple physical constraints of the energy storage equipment, and achieving the optimal scheduling of the energy storage equipment. A rolling time domain prediction control strategy is established to process dynamic response requirements of energy storage equipment, an adaptive power adjustment model based on a graph convolution network is established to realize accurate prediction and dynamic adjustment of energy storage power, an energy storage equipment constraint processing mechanism is established, and a Lagrange multiplier method is adopted to process multiple physical constraint conditions. A prediction error compensation algorithm is established to monitor the operation state of the energy storage equipment in real time and dynamically correct a control instruction, an energy storage scheduling instruction is executed, closed-loop feedback control is carried out, and the technical problem that the energy storage equipment is difficult to realize dynamic response under multiple physical constraint conditions is solved.

The invention discloses an impact load flexible starting method for a bidirectional off-grid and grid-connected energy storage inverter, and the method comprises the steps: collecting an output current of the bidirectional off-grid and grid-connected energy storage inverter to obtain a target current if a load connected with the bidirectional off-grid and grid-connected energy storage inverter is detected to be started; if the target current is greater than or equal to a preset current threshold value, taking a first preset PI controller as a target controller; obtaining a correction parameter of a modulation wave amplitude output by the target controller, and generating a control signal based on the correction parameter of the modulation wave amplitude; and controlling the bidirectional off-grid and grid-connected energy storage inverter based on the control signal so as to realize flexible starting. According to the invention, the output voltage can be reduced when the load is started, so that overcurrent and overpower are avoided, and overload or overcurrent protection can be avoided.

The invention relates to the technical field of optical storage micro-grids, and discloses an optical storage micro-grid energy storage capacity optimization method for light abandoning rate and load fluctuation, which comprises the following steps: constructing an objective function of optical storage micro-grid energy storage capacity configuration optimization according to a service electric energy quality index; wherein the service power quality index comprises an equivalent net load standard deviation and a light abandoning rate; constructing constraint conditions of the target function; and solving the objective function for energy storage capacity configuration optimization of the optical storage micro-grid by adopting an improved genetic algorithm to obtain an energy storage capacity configuration and operation strategy of the optical storage micro-grid. According to the method, an optimization model taking the equivalent load standard deviation, the light abandoning rate and important load power supply guarantee as multiple objectives is constructed, an improved genetic algorithm is adopted for solving, and in the solving process, the algorithm processes constraint conditions such as power balance, energy storage SOC constraint and important load power supply guarantee by introducing a dynamic penalty function, so that the optimal power supply performance is improved. And significant optimization of service power quality indexes is realized.

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.

Disclosed in the present application are a hybrid energy storage system and a control method. The system comprises a first-type energy storage device and at least one second-type energy storage device, wherein the first-type energy storage device comprises a first energy storage medium and a first energy storage converter; the second-type energy storage device comprises a second energy storage medium and a second energy storage converter; the charging and discharging speed of the first energy storage medium is greater than the charging and discharging speed of the second energy storage medium; the first energy storage medium is connected to a direct-current side of the first energy storage converter, and the direct-current side of the first energy storage converter is connected to a direct-current bus; the second energy storage medium is connected to a direct-current side of the second energy storage converter, and the direct-current side of the second energy storage converter is connected to the direct-current bus; and an alternating-current side of the first energy storage converter and an alternating-current side of the second energy storage converter are both connected to a point of common coupling. In the case of a power grid anomaly, a plurality of energy storage converters operate in parallel to supplement a power grid with the electric energy of a first energy storage medium; and the rated currents of the energy storage converters are set to be relatively low, thereby reducing the stress on the energy storage converters, and thus reducing the costs.

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 the technical field of power grid power distribution, and provides a distributed energy power grid energy storage dynamic power distribution method, system and device. The method comprises the following steps: collecting distributed power generation data, and performing preprocessing to obtain preprocessed data; constructing a prediction model according to the preprocessed data to obtain a pre-trained prediction model; performing power distribution optimization on the pre-trained prediction model to obtain a prediction model; inputting the real-time data into the prediction model to obtain the optimal charging and discharging power; and controlling the converter to control the circuit according to the optimal charging and discharging power. By constructing the multi-objective optimization function and comprehensively considering the power grid stability, the energy storage charge and discharge stability and the battery health state, the optimal power distribution scheme can be obtained, the distributed energy power fluctuation is effectively stabilized, the power grid voltage deviation ratio is reduced, the power grid frequency is stabilized, and the acceptance capability of the power grid to the distributed energy is enhanced; and the overall operation stability and reliability are improved.

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 invention relates to the technical field of energy digitization, in particular to a micro-grid energy storage capacity demand calculation method and system. The invention discloses a micro-grid energy storage capacity demand calculation method. The method comprises the following steps: S1, data acquisition and multi-scene demand modeling; s2, micro collaborative parameter mapping is configured; s3, dynamically optimizing the discharge depth; and S4, electric power and electric quantity balance calculation and capacity optimization. A system for calculating the energy storage capacity demand of the microgrid is used for implementing the method and comprises a computer readable storage medium in which computer program instructions are stored. The invention provides a user energy storage capacity demand calculation method based on a micro-distribution collaborative grid management model, and the method achieves the precise configuration of the energy storage capacity of a user through multi-scene demand modeling, micro-distribution collaborative parameter mapping and refined electric power and electric quantity balance calculation. And the energy storage utilization rate and the full life cycle economy are improved.