467 results about "Grid energy storage" patented technology

The invention discloses a power grid hybrid energy storage optimization regulation and control method based on source grid load storage, and relates to the technical field of smart power grids, and the method comprises the steps: obtaining a power grid energy storage control cloud platform, and obtaining an energy power generation data set of a power generation energy side, a power grid operation data set of a power grid side, and a load power data set of a load demand side; performing response characteristic analysis and twinborn simulation fusion, and constructing a power grid operation digital virtual model; acquiring a plurality of energy storage equipment characteristic data sets of the energy storage module, and performing collaborative modeling on the power grid operation digital virtual model based on the plurality of energy storage equipment characteristic data sets to generate a power grid energy storage collaborative control virtual model; and monitoring in real time to obtain a power grid multi-side state parameter information set, carrying out regulation and control strategy analysis, obtaining an energy storage optimization regulation and control strategy, and carrying out power grid hybrid energy storage regulation and control on the energy storage module. The technical problem of insufficient real-time regulation and control capability of the power grid in the prior art is solved, and the technical effect of improving the real-time regulation and control capability of the power grid is achieved.

A distributed photovoltaic consumption-oriented energy storage planning method and system for a flexible distribution network. The method comprises: acquiring grid data, photovoltaic data and load data of a distribution network in a target area, preprocessing the data, screening the preprocessed data, and selecting fault data; on the basis of the selected fault data and a genetic algorithm, establishing a distribution network energy storage system capacity configuration model; and on the basis of the distribution network energy storage system capacity configuration model, performing distributed photovoltaic consumption-oriented flexible distribution network energy storage planning.

The invention relates to the technical field of power grid energy storage systems, in particular to a battery intelligent fault diagnosis method and system suitable for a power grid energy storage system. According to the method, multi-source monitoring data including battery electrical parameters, power grid features, environmental conditions and historical operation records are obtained, unified time step alignment and feature extraction processing are carried out on the data, and statistical features, time sequence features and frequency domain features are obtained. A double-layer diagnosis model structure is adopted, a random forest model is used for diagnosing main fault modes such as over-charging and over-discharging, and a convolutional neural network model is used for diagnosing complex fault modes such as short circuit and temperature out-of-control. The system has a dynamic updating mechanism, and online optimization is realized by calculating incremental updating values of model parameters; meanwhile, a model evaluation mechanism is established, and when an evaluation index is lower than a preset standard, a retraining process is triggered. According to the invention, high-precision and real-time identification and early warning of the battery fault are realized, and the operation reliability and safety of the energy storage system are significantly improved.

The invention is suitable for the technical field of electric power, and provides a current-limiting control method and device for a network construction type energy storage converter, and the method comprises the steps: generating the virtual internal potential of the network construction type energy storage converter according to the operation parameters of a power grid; when the power grid breaks down, whether the output current of the grid-forming type energy storage converter exceeds a current rated value or not is judged, and self-adaptive virtual resistance and self-adaptive virtual impedance are determined according to the judgment result and the virtual internal potential; wherein if the output current of the grid-forming type energy storage converter exceeds the current rated value, the fault transient current is limited according to the self-adaptive virtual resistance in the first three power frequency periods of the beginning of the fault, and the fault steady-state current is limited and the power angle curve is remodeled to improve the power angle stability in the later fault time according to the self-adaptive virtual resistance; and calculating a current reference value of the power grid and a voltage reference value of a grid-connected point according to the self-adaptive virtual impedance, and performing switching control on the grid-forming type energy storage converter. According to the invention, safe and stable operation of the network-forming type energy storage converter can be ensured.

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 an electric vehicle V2G micro-grid energy storage capacity optimization method based on dynamic planning, particularly relates to the technical field of micro-grid energy storage optimization, and aims to solve the problem of energy storage capacity optimization defects caused by spatial dynamic characteristics caused by mobility of an existing electric vehicle. Performing geographic grid division on the node position, generating a space-time matrix by combining with a timestamp, and identifying a high-frequency access node; constructing a state transition equation based on the inter-node impedance matrix, and setting a node-level safety boundary by taking a line capacity change rate as a dynamic constraint; a staged reverse dynamic programming algorithm is adopted, spatial dimension optimization is preferentially executed on the high-frequency access nodes, and charging and discharging constraints fusing voltage deviation and capacity overrun penalty terms are generated; carrying out global optimization by taking the minimization of the total operation cost as a target after the constraints are integrated, and outputting an energy storage capacity configuration strategy of each time period; and finally generating an energy storage deployment scheme.

The invention discloses a power distribution network energy storage locating and sizing method and device and electronic equipment. The method comprises the following steps: collecting data of a target power distribution network, including branch information of the target power distribution network and historical load data of the target power distribution network; determining a topological structure of the target power distribution network based on the branch information, and establishing a topological model of the target power distribution network; based on a bilevel planning model, the historical load data and the topology model, a target locating and sizing planning scheme of the energy storage equipment of the target power distribution network is obtained, the bilevel planning model comprises an upper-layer locating planning model and a lower-layer optimization operation model, the upper-layer locating planning model is used for determining an alternative locating and sizing planning scheme of the energy storage equipment, and the lower-layer optimization operation model is used for determining the alternative locating and sizing planning scheme of the energy storage equipment; the lower-layer optimization operation model is used for determining the lowest operation cost corresponding to the alternative locating and sizing planning scheme. The technical problems that the convergence speed is low and the planning scheme is not accurate enough when the energy storage equipment in the power distribution network is subjected to site selection and sizing are solved.

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 discloses a charging pile operation management method, system and platform based on a cloud platform, and relates to the field of charging pile management, and the method comprises the steps: generating a user portrait of each charging station; according to the electric energy redundancy of the target area and the user portraits of the charging stations, electric energy consumption of the charging stations at future time nodes is predicted, and whether the charging stations are connected to a power grid energy storage device or not is judged; for one charging station, if the charging station is connected to the power grid energy storage device, determining an allocation strategy between a target charging pile in the charging station and the power grid energy storage device according to the equipment information; generating a power demand prediction result of the target charging pile at the future time node according to the user portrait of each charging station, the electric energy redundancy of the target region and the distribution strategy; and obtaining a regulation and control strategy of the target charging pile in the charging station at the future time node according to the power demand prediction result. The charging experience feeling of a user can be effectively improved.

The invention relates to the technical field of intelligent power grids, in particular to a micro-grid energy storage optimization method and system based on big data analysis, and the method comprises the steps: obtaining the comprehensive prediction power generation through the prediction segmentation time, a wind power generator set and a solar power generator set, and obtaining the analysis power based on the prediction segmentation time and the comprehensive prediction power generation, an energy storage battery parameter set is obtained, if the analysis electric quantity is larger than or equal to a storage electric quantity threshold value, a target storage battery pack is retrieved from the energy storage battery packs through the energy storage battery parameter set, active equalizing charging is conducted on the target storage battery pack, and an updated storage battery pack is obtained; and after it is confirmed that a preset target energy supply battery pack is retrieved in the energy storage battery packs by using the analysis electric quantity and the energy storage battery parameter set, power is supplied by using the target energy supply battery pack, and an updated power supply battery pack is obtained. According to the method, the energy storage of the micro-grid can be accurately and intelligently optimized.

The invention discloses an island micro-grid reliability evaluation method and device considering a hybrid energy storage system, and the method comprises the steps: obtaining the operation parameters of an island micro-grid energy storage system, considering the uncertainty of load output, and the charge and discharge and capacity constraints of the energy storage system, building a load output model and an energy storage charge and discharge model, state parameters of the hybrid energy storage system are obtained, a multi-state model of the hybrid energy storage system is established, the state probability is solved, and a reliability index of the hybrid energy storage system is obtained; establishing a minimum load reduction strategy model on the basis of considering the load importance; and according to the hybrid energy storage system multi-state model, the energy storage charging and discharging model, the load output model and the minimum load reduction strategy model, constructing an island photovoltaic micro-grid reliability evaluation program containing the hybrid energy storage system, and outputting a reliability index of the hybrid energy storage system. And reliability evaluation can be carried out on the island photovoltaic micro-grid system containing the wind and light storage.

The invention discloses an independent micro-grid energy storage optimization method considering lithium ore load regulation potential improvement, and the method comprises the steps: S1, considering the lithium ore load regulation potential and a micro-grid operation scene, and constructing a lithium ore load and energy storage coordination optimization model; s2, outputting a result of the lithium ore load and energy storage coordinated optimization model by taking the optimal operation cost benefit of the micro-grid as a target function; and S3, according to an output result of the lithium ore load and energy storage coordinated optimization model, completing independent micro-grid energy storage optimization, the lithium ore load regulation potential is excavated, the bidirectional flexible interaction capability with the micro-grid is improved, the micro-grid system operation cost is reduced, and the new energy consumption capability and the lithium ore load power supply reliability are improved in the technical aspect.

The invention belongs to the technical field of wind power generation, and particularly relates to a wind storage combined system for coordinated control of hybrid energy storage equipment and a control method. Wherein the wind generating set is used for converting wind energy into electric energy and outputting the electric energy to a power grid; the energy storage equipment comprises a battery energy storage system and a super capacitor; the direct current bus is used for being connected with the wind generating set, the battery energy storage system and the super capacitor through a control system and performing energy exchange with a power supply grid; and the control system is used for carrying out coordinated control on the energy storage equipment based on different power regulation requirements. According to the invention, the problems of power grid frequency fluctuation and power imbalance caused by wind speed fluctuation of the wind power generation system can be solved. Two different types of energy storage devices are integrated, cooperative regulation and control are carried out by utilizing respective characteristics of the energy storage devices, and power dispatching and frequency modulation control of different time scales are realized, so that the stability of a wind power generation system and the reliability of a power grid are improved.

The invention relates to the technical field of power grid energy storage, in particular to a voltage fluctuation rapid suppression method based on a composite energy storage system, which realizes targeted response to voltage fluctuation of different frequencies by setting a dual-time scale power distribution strategy, improves the improvement efficiency of the energy storage system, and improves the suppression efficiency of the composite energy storage system. Through a composite control structure of an adaptive PI controller and a feedforward compensation link, the voltage control precision and the harmonic suppression rate are improved, and according to peak-valley electricity price characteristics and load fluctuation rules of different scenes, the power grid line voltage fluctuation type is monitored in real time, and a dynamic parameter library and an online identification algorithm are combined. The system can automatically adapt to factors such as hardware aging and environment change, a long-term control effect is maintained, and the charging and discharging frequency of the lithium iron battery is reduced by setting the high-frequency power buffer effect of the super capacitor, so that the cycle life of the lithium iron battery is prolonged; meanwhile, the overall energy conversion efficiency of the system is improved through cooperative control of the modular multilevel converter topology and the double energy storage elements.

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 networking type energy storage semi-physical simulation test platform and method, and particularly relates to the field of simulation testing, and the platform comprises a digital twin collaborative modeling module, an impedance adaptive hardware coupling module, a networking control depth verification module, a multi-dimensional performance evaluation module, and an iterative optimization module. According to the method, a dynamic impedance network model and a virtual energy storage unit are integrated by constructing a power grid-energy storage digital twin; the dynamic impedance network is generated by adopting a frequency-dependent parameter transmission line equation and combining actual measurement impedance scanning data in a fitting manner; in the loop test, a full-band disturbance injection method is adopted to monitor impedance characteristics, and virtual inertia and physical droop control parameters are coordinated under a preset weak power grid working condition; the multi-dimensional performance evaluation system quantifies the system performance from three dimensions of dynamic response, stability margin and transient energy function, and when the phase margin deviation is greater than 15 degrees, triggers an iterative optimization mechanism, reconstructs a virtual inertia coefficient and repeatedly verifies the virtual inertia coefficient until a stability threshold is met.

The invention relates to the technical field of power grid energy storage systems, and discloses a smart power grid integrated breeze power generation and energy storage cooperation system, which comprises a first prediction module, a second prediction module, a data processing module, a strategy module and a monitoring module, wherein the first prediction module is used for performing wind speed prediction on an area where the breeze power generation network is located; the second prediction module is used for predicting the load capacity of the power grid; the data processing module calculates a generating capacity predicted value based on the wind speed predicted value; the strategy module formulates a charging and discharging strategy of the energy storage device based on the load capacity predicted value and the generating capacity predicted value; the monitoring module is used for monitoring power grid parameters in real time, including real-time generating capacity and load capacity, and adjusting charging and discharging strategies based on power grid parameter control. According to the invention, deep fusion of breeze power generation and an energy storage system is realized, and a new path is opened up for constructing a modern electric power system which is more intelligent, efficient and sustainable.

The invention provides a micro-grid energy storage optimal configuration method and system, and relates to the technical field of energy storage system optimization. According to the method provided by the invention, a micro-grid energy storage configuration and optimization scheduling model taking the energy storage network construction capability of the micro-grid as an evaluation standard is established; establishing a target function by taking the overall operation benefit optimization of the micro-grid as a target; determining a plurality of constraint conditions based on the micro-grid energy storage configuration and the optimal scheduling model; according to the actual parameters of the micro-grid, the objective function and the multiple constraint conditions are solved, the optimal configuration and scheduling result of the micro-grid is obtained, the method provided by the invention can determine the optimal configuration and scheduling result according to the actual scene of the micro-grid, and then scheduling strategies corresponding to different time periods are obtained. The energy storage investment and construction cost can be reduced, the micro-grid operation cost can be reduced, the new energy utilization rate can be improved, meanwhile, it is guaranteed that the system has the enough inertia level and frequency adjusting capacity under the disturbance condition, and the use requirements of users in different use scenes are met.

The invention discloses a regional distributed energy storage optimization scheduling method, which comprises the following steps: S1, model construction: constructing a mixed integer nonlinear programming model containing a multi-objective optimization function according to physical characteristics, operation constraints and economic objectives of a regional power distribution network, a micro-grid, an energy storage system and renewable energy; s2, scene generation and processing: adopting a Latin hypercube sampling method to generate a multi-scene data set of renewable energy output, load demand and electricity price fluctuation, performing clustering analysis on scene data, and screening out representative typical scenes so as to reduce calculation complexity; and S3, carrying out optimization solution. In the application, multi-dimensional constraints such as energy storage life attenuation, network loss, carbon emission and the like are added in constraint conditions, the practicability of the model is improved, and the limitation of traditional single-target scheduling is broken through through multi-target optimization and multi-constraint coordination.

The invention relates to a thermoelectric double-storage energy supply system. The thermoelectric double-storage energy supply system integrates a double-water-turbine design of a production well and a recharge well. The system intelligently responds to power grid electricity price fluctuation and heat supply requirements, and the working mode of the water turbine is flexibly adjusted. In the thermoelectric linkage optimization stage, when the electricity price is in a low ebb, the first water turbine extracts geothermal water to supply heat, and residual heat is stored in the heat and electricity storage water tank and the water storage tank to deal with the electricity price peak. And meanwhile, the second water turbine reversely generates power by utilizing geothermal tail water and feeds back to the power grid. In the energy storage and release optimization stage, the two water turbines work cooperatively in the electricity price off-peak period, and electric energy is converted into potential energy to be stored in the water tank. At the peak of electricity price, the high-position potential energy water in the water tank is released, and the stored potential energy is converted into electric energy through reverse operation of the water turbine to provide stable power supply for a power grid. According to the system, dual storage of heat and electricity is realized, the consumption contribution to distributed new energy photovoltaic wind power utilization is improved, the light and electricity abandoning quantity is reduced, and the distributed new energy power generation of a power grid and the electrical load of a building are balanced.

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 discloses a power grid operation safety margin improvement method and system. The method comprises the steps of obtaining power grid data and performing preprocessing; constructing a power grid simulation model based on the preprocessed data to perform power grid fault simulation; identifying key nodes of the power grid based on a power grid fault simulation result; based on the power grid key nodes, constructing a power grid load prediction model and predicting load conditions of the power grid key nodes; obtaining a power grid safety margin through a current load and a load demand value predicted by the load prediction model, and deploying an energy storage regulation and control strategy at a key node in combination with the power grid safety margin; and network security encryption is carried out. According to the invention, the load prediction result is combined with the power grid energy storage system, and under the guidance of the load prediction result, the dynamic distribution and adjustment of power are realized, the change of the power grid load is coped with in time, the optimal configuration of power resources is realized, the power grid pressure during the peak load period is reduced, and the stable operation of the power grid is ensured. And the safety margin and the operation efficiency of the power grid are improved.

The invention relates to the technical field of lithium ion battery negative electrode materials, and discloses a preparation method and application of a high-efficiency silicon-carbon composite graphite material, and the preparation method comprises the following steps: S1, carrying out porosity and size regulation and control on silicon particles: carrying out ball milling on industrial-grade silicon powder to obtain nano silicon particles, and carrying out acid etching to form a porous structure; s2, functional surface treatment and interface optimization: introducing functional molecules to the surfaces of the silicon particles and coating a layer of ultrathin SiO2 protective film; and S3, carbon coating and flexible protection layer construction: performing pyrolysis on the porous silicon particles by using a carbon source to form a uniform carbon coating layer which is applied to a lithium ion battery negative electrode material, and the lithium ion battery is used for an electric vehicle, a power grid energy storage system and portable electronic equipment. Through the collaborative design of the flexible protection layer, the double-layer carbon coating and the gradient coating, the technical bottlenecks of the silicon-based negative electrode material in the aspects of long cycle stability, high rate performance and interface chemical stability are systematically solved.

The invention discloses a distributed power grid dispatching management and optimization method, and relates to the technical field of power grid automation, and the method comprises the steps: collecting multi-dimensional power grid data in a system, carrying out the data preprocessing of the multi-dimensional power grid data, carrying out the electrical load prediction of the initial multi-dimensional power grid data through an LSTM neural network, and carrying out the optimization of the electrical load. Performing energy storage SOC state real-time evaluation on the electrical load data based on a DTW dynamic time warping load identification model, performing state judgment on power grid equipment according to an evaluation result, constructing a multi-target optimization model by using mixed integer second-order cone programming, performing power grid constraint adjustment by using the multi-target optimization model, and performing power grid constraint adjustment on the basis of a power grid constraint result. And performing real-time power generation plan adjustment by using an improved particle swarm algorithm to obtain target electric power output of the power grid, and performing power grid energy storage control optimization according to the target electric power output. And the prediction accuracy of the new energy output and the load demand is obviously improved.

The invention relates to a rural power distribution network three-level hierarchical energy storage configuration method based on a daily degree balance mechanism, and the method comprises the following steps: 1, constructing a rural power distribution network hierarchical energy storage configuration system: solving a problem of maximum local and nearby consumption of new energy through the coordinated and cooperative operation of the energy storage of each voltage level; 2, establishing a rural power distribution network energy storage configuration principle by taking distributed new energy efficient consumption as an object, and carrying out energy storage configuration step by step from bottom to top; 3, aiming at energy storage configuration of the energy autonomous rural micro-grid, constructing an energy storage configuration method based on a day degree balance mechanism based on rural area and feeder line operation data, and guiding energy storage configuration of the energy autonomous rural micro-grid; 4, performing typical distribution and storage instance analysis on the transformer area / feeder line; the method has the advantages that the energy storage device is reasonably configured, energy storage is coordinated and matched for operation, local and nearby consumption is maximized, and the safety is improved.

The invention provides a control method of an off-grid energy storage device and the off-grid energy storage device. The control method comprises the following steps: collecting power grid voltage state data of a power grid; when it is judged that the power grid voltage state data meet the pre-configured mode switching condition, the amplitude and phase of the power grid voltage in the power grid voltage state data are obtained; the mode switching conditions comprise an energy storage-power grid switching condition for switching from battery pack power supply to power grid power supply and a power grid-energy storage switching condition for switching from power grid power supply to battery pack power supply; and the control module is used for controlling the mode change-over switch circuit to perform corresponding switching on the basis of a mode switching condition conforming to the state data of the power grid voltage, and controlling the amplitude and the phase of the inverter voltage output by the bidirectional AC / DC conversion module on the basis of the amplitude and the phase of the power grid voltage. The amplitude and the phase of the load voltage received by the load before and after mode switching are in a continuous state, so that the switching time is shortened, and the power failure risk of a user is reduced.

The invention relates to the technical field of power distribution network planning management, in particular to a power distribution network energy storage planning optimization aid decision-making system and method, and the system comprises a data collection module, a prediction analysis module, a permeability analysis module, a bearing capacity evaluation module, an adaptability analysis module and a planning optimization module. Wherein the data acquisition module is used for acquiring related operation data of a new energy automobile and a charging facility; the prediction analysis module is used for predicting the near, medium and long-term scales of the new energy vehicle and the charging facility; the permeability analysis module is used for analyzing the influence of disordered charging and ordered charging on the power distribution network; the bearing capacity evaluation module is used for establishing a bearing capacity evaluation model; and the adaptability analysis module is used for identifying potential overload points and bottlenecks. By integrating new energy automobile charging load prediction, permeability analysis and power distribution network bearing capacity evaluation, power distribution network planning and operation are optimized, the efficiency and stability of a power grid are improved, and meanwhile wide application of new energy automobiles is supported.

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.