748 results about "Stored energy" patented technology

The invention discloses a long-term vibration monitoring method and system based on multi-channel data acquisition, and the method comprises the following steps: installing a sensor node integrated with a multi-mode energy collection module on a monitored object, and providing continuous power supply for a multi-channel data acquisition and edge processing unit; according to the invention, through a dynamic adaptive sampling mode and edge end extraction key features, the data load in a distributed monitoring scene is significantly reduced; the multi-mode energy collection module is integrated to collect vibration and environmental mechanical energy, and the energy management unit is combined to dynamically distribute stored energy and supply power, so that long-term autonomous operation of the sensor node is realized; the abnormal state is locally inferred and identified through the edge processing unit, and only key feature data instead of full data is uploaded, so that the real-time response capability to the equipment abnormality is improved; multi-dimensional correlation features are extracted by collecting multi-channel sensing data and combining a deep learning model and a time sequence-space feature fusion algorithm, and the health state of the equipment is comprehensively reflected.

The invention discloses a cooperative scheduling method for a zero-carbon park complementary energy storage system, and the method comprises the steps: enabling an electric energy quality index to be explicitly incorporated into an optimization target through multi-source resource dynamic modeling and scene prediction, and building a strong coupling relation between a physical constraint and a scheduling decision; the hierarchical execution mechanism gives consideration to global optimization and local quick response, realizes undisturbed switching under abnormal working conditions, forms a prediction-optimization-execution-feedback closed-loop control system, and can accurately describe physical connection and electrical characteristics of a park power grid by establishing a power distribution network equivalent model and acquiring topological parameters, thereby realizing the optimal control of the park power grid. And basic network data is provided for subsequent optimization. By determining the controllable resource set and completing topological mapping, the position and the regulation and control range of each device in the power grid can be determined, and mistaken sending or conflict of instructions can be avoided. An apparent power upper limit constraint and SOC dynamic model is established, overload operation of equipment can be avoided, the energy storage charging and discharging capacity can be accurately represented, and the performability of a scheduling scheme is ensured.

The invention discloses a Fourier transform and S transform combined battery impedance spectroscopy measurement method and device, and aims to improve the precision, speed and reliability of impedance measurement of a battery energy storage system. According to the method, a multi-frequency component excitation signal is generated through a controllable current source, and current and voltage response signals of a battery are synchronously acquired and are respectively input into a Fourier transform module and an S transform module for frequency domain analysis. The Fourier transform module extracts impedance spectrums of low and medium frequency bands, and the S transform module extracts impedance spectrums of medium and high frequency bands through Gaussian window time-frequency analysis. And a data fusion algorithm is adopted to perform composite processing on results of the two modules, including a direct selection method, an arithmetic average method, an amplitude and phase calibration method and a weighted average method, so that smooth transition and optimization between frequency bands are realized, and finally the electrochemical impedance spectrum is generated. Through collaborative analysis of Fourier transform and S transform, parameter optimization and a fusion algorithm, the efficiency and accuracy of impedance spectroscopy measurement are remarkably improved, and the method is suitable for rapid monitoring and diagnosis of the battery state.

This invention discloses a press-to-rebound damping slide rail, belonging to the field of slide rail technology. The press-to-rebound damping slide rail of this invention includes a slide rail assembly and a press-to-rebound damping device. The slide rail assembly includes a fixed rail and a movable rail. The gearbox of the press-to-rebound damping device is equipped with a transmission gear and a clutch mechanism that mesh with a rack on the movable rail. In the first position, the gearbox has a rebound spring and a self-closing spring stretched and stored energy, and the gearbox is locked in the base. In the first position, the trigger part of the trigger transmission block is pushed by the trigger plate on the movable rail, causing the gearbox to unlock and rebound to the second position. The clutch mechanism locks the reverse rotation of the transmission gear and drives the rack and movable rail to rebound and move together. This invention organically combines the press-to-rebound mechanism and the damping closing mechanism, ensuring that the stability of their cooperation is not reduced by factors such as installation errors, making assembly simpler and more convenient, and guaranteeing product consistency.

The invention relates to the technical field of automatic control of a power system, discloses a dynamic response optimization and self-adaptive compensation method for primary frequency modulation of a speed regulator of a hydropower station, and aims to solve the problem that the response speed and the operation economy are difficult to consider in a traditional combined frequency modulation strategy. Meanwhile, a dynamic task allocation threshold value is calculated according to the real-time cost of the hydroelectric generating set and the energy storage. Then, by comparing the size of the disturbance with the threshold value, the system autonomously decides: if the disturbance is small, the stored energy independently responds; and if the disturbance is large disturbance, a prospective optimal control strategy is started, a hydroelectric generating set and stored energy are cooperatively allocated, and a frequency modulation task is completed at the lowest comprehensive cost. According to the method, by introducing pre-judgment on disturbance and dynamic evaluation on cost, economical optimal distribution of frequency modulation tasks among different types of power supplies is realized, and the comprehensive frequency modulation performance and economic benefits of the system are remarkably improved.

The invention is applicable to the field of power demand analysis, and provides a user demand-oriented power transaction matching recommendation method and system. The method comprises the following steps of: acquiring power consumption data of a user, and generating a resonance group and a feature packet with similar power consumption modes and risk tolerance; generating a power utilization comprehensive bidding plan in combination with the resonance group characteristics and the real-time market data; performing transaction matching based on the bidding plan, preferentially selecting the power generation resource with the closest electrical distance, introducing a green energy premium coefficient, and outputting a transaction result; and performing investment portfolio optimization analysis according to a transaction result, and generating a customized power package containing traditional energy, new energy and stored energy in combination with user risk preference. Through multi-dimensional data integration and intelligent algorithm application, accurate matching of power generation resources and user demands is realized, power transaction efficiency and user satisfaction are improved, and new energy consumption and sustainable development of the power market are promoted.

The invention discloses a power distribution network collaborative optimization scheduling method and system considering asymmetric Nash bargaining and producer and consumer renting shared energy storage. The method comprises the following steps: constructing a wholesale market, a retail market and a P2P market, and a multi-agent collaborative transaction framework of mutual influence among a power distribution network operator, a shared energy storage operator and producer and consumer, wherein the multi-agent collaborative transaction framework comprises the wholesale market, the retail market, the P2P market and the mutual influence among the power distribution network operator, the shared energy storage operator and the producer and consumer; constructing a multi-agent optimization scheduling model for renting shared energy storage by the consumer and introducing a bargaining factor to measure the contribution degree of each consumer during electric energy transaction; a cooperative game Nash bargaining theory is introduced to re-model an original multi-body optimization scheduling model, and the model is decomposed into two sub-problems of total cost minimization and payment benefit maximization; a self-adaptive step size ADMM algorithm is adopted to perform distributed optimization solution on the sub-problems to obtain the electricity quantity purchased and sold from the power grid by the producer and the consumer and the shared energy storage, the P2P transaction electricity quantity and the transaction electricity price; and an improved IEEE33 node power distribution system is adopted to carry out example analysis, and a scheduling plan arrangement of multi-agent collaborative optimization operation is obtained.

The disclosure relates to an audible indicator in combination with a drug delivery device having a resilient force member capable of resting in either of two states. In a biased state, the resilient force member is biased and stores energy and in a relaxed state, the resilient force member is relaxed. The resilient force member releases the stored energy when changing from the biased state into the relaxed state, thereby generating an audible signal, wherein the resilient force member is supported by a retaining element in the biased state in order to prevent transition into the relaxed state.

The invention belongs to the technical field of power grid systems, and particularly relates to a cooperative scheduling method for a water-electricity-heat combined supply negative carbon building light-storage direct-flexible energy microgrid group. Comprising the following steps: constructing a negative carbon building light storage direct-flexible energy microgrid group mathematical model; wherein the mathematical model comprises a generator constraint model, an external power grid and micro-grid group exchange power constraint model, a power balance constraint model, a peak-valley difference constraint model, a storage battery constraint model, a phase change heat storage system operation constraint model and a water supply system operation constraint model; constructing a target function of the scheduling model by taking the minimum total operation cost of the negative carbon building light storage direct-flexible energy microgrid group in a scheduling period as a target; wherein the total operation cost comprises electric power procurement cost, carbon emission cost, energy storage cost, fuel cost and peak-valley difference punishment cost. Through linkage of the electricity storage system, the heat storage system and the water storage system, the utilization rate of renewable energy sources and the flexibility of the system are maximized.

The invention relates to the technical field of magnetic attraction control, and discloses a multi-head shaver linkage control method and system based on magnetic attraction contacts.The method is based on at least two single-head shavers with controllers, shaving modules and energy storage modules, and electric connection is achieved through the magnetic attraction contacts; the first controller sends an identity recognition instruction after detecting the contact connection state, receives and matches identity information of the second controller, and establishes a control link if matching succeeds; the working state is synchronized when the link is established, the abnormal state is unified as the running state, any subsequent controller sends a cooperation instruction through the link after obtaining an operation instruction, and the other controllers execute synchronously. According to the method, the problems that a traditional single shaver is insufficient in scene adaptation and a multi-shaver-head product is tedious in operation are solved, flexible combination and separation of single-head units are achieved, the requirements for portable storage and efficient shaving are met, and the operation convenience and the intelligent level are improved.

A power converter, includes: a first terminal, a second terminal, a third terminal and a fourth terminal; stored-energy-source terminals, to which a stored energy source can be connected; four inverter bridge branches, which are formed from semiconductor switching devices, the inverter bridge branches each having a center tap, each center tap being assigned to one of the terminals, and the inverter bridge branches being interconnected and controllable such that electrical energy can be transferred bidirectionally between the stored-energy-source terminals and the first terminal, the second terminal, the third terminal and / or the fourth terminal; and a control unit, which is designed to control the semiconductor switching devices of the inverter bridge branches.

The invention relates to the technical field of control and adjustment, in particular to an energy storage configuration point-based power consumption cost calculation method, which comprises the following steps of: acquiring power supply data, renewable energy output fluctuation data and computing power load fluctuation data, and generating a coupling influence feature vector; splicing the electricity price features and the coupling features to form configuration optimization input features; the input features are processed through a dual-objective optimization model, and robustness configuration parameters and economical efficiency operation parameters are output; calculating the reserve cost compensation amount of the extreme scene based on the robustness parameter, and calculating the power purchase cost and maintenance cost of the power grid based on the economical efficiency parameter; and aggregating the cost component and outputting a power consumption cost calculation result. According to the method, the interactive influence of wind-light fluctuation and load mutation is quantified through coupling features, the target conflict between robustness and economy is coordinated by adopting the Pareto algorithm, the risk compensation amount is generated in combination with a pressure test, a feature updating mechanism is fed back in a closed loop mode, and the problem that the operation cost deviates from expectation due to quantization deviation of an existing model is solved.

The invention discloses a new energy electricity price accurate prediction method and system based on virtual power plant aggregation regulation and control, and relates to the technical field of industrial data processing. The method comprises the steps: S1, carrying out the preprocessing of meteorological environment data, output equipment data and battery power grid operation data; s2, constructing a variation dynamics analysis and mutation depth discrimination mechanism based on the meteorological environment data, and entering an output prediction and optimization process and a scheduling load response process in a layered manner; s3, executing energy storage collaborative optimization scheduling and parameter correction according to a meteorological output regression prediction analysis result; and S4, performing electricity price time sequence multi-source driving analysis, and reconstructing an electricity price fluctuation response strategy. The problems that new energy output violently fluctuates within a minute level due to sudden weather change, and electricity price prediction lags due to the fact that an existing prediction model depends on too low weather data updating frequency and cannot capture the rapid change in time are solved.

The invention discloses an LED energy storage street lamp management method and system combined with Internet of Things perception, relates to the technical field of Internet of Things and intelligent illumination, and solves the problem that it is difficult to use the Internet of Things to monitor, collect and process various data in real time so as to predict maximum brightness demand values of street lamps in different time periods. The influence of shelters on the illumination intensity of the street lamp is difficult to analyze; the battery state and the energy storage efficiency of the LED energy storage street lamp are difficult to evaluate; a charging and discharging control strategy is difficult to generate; the energy consumption under the charge and discharge control instruction is difficult to optimize by using digital twinning, and the optimized charge and discharge control instruction is difficult to execute. Various sensing data are collected and processed through the Internet of Things, the brightness requirement of the street lamp is predicted by using a multiple linear regression model, a dynamic shielding coefficient is analyzed, and the battery state and energy storage efficiency of the LED energy storage street lamp are evaluated, so that an intelligent charging and discharging control strategy and a digital twin model simulation energy consumption optimization strategy are generated; and the energy consumption of the LED energy storage street lamp is reduced.

The invention discloses a method for optimizing a market bidding participation strategy of a sea wind energy storage system, and the method comprises the steps: constructing a double-layer game model which comprises a day-ahead electric energy market and a standby market, and an intra-day real-time scheduling and deviation adjustment model, and carrying out the short-term prediction of wind power output, a standby call rate, a day-ahead opponent market quotation and an intra-day market electricity price. And generating a typical scene set in combination with Monte Carlo simulation and confidence interval analysis. In the day-ahead stage, on the basis of the typical scene set and the double-layer game model, bidding power, bidding price, standby capacity configuration and an energy storage charging and discharging plan of the sea wind energy storage system in the electric energy market and the standby market are determined; and in the intra-day stage, combining real-time prediction data and a day-ahead bidding result, and utilizing a real-time scheduling and deviation adjustment model to dynamically correct the intra-day bidding power and adjust an energy storage operation strategy. The method can effectively improve the income and risk management and control capability of the sea wind energy storage system in a complex market environment, and achieves the optimal bidding and operation decision under the cooperation of multiple markets.

The invention relates to the technical field of comprehensive energy optimal configuration, in particular to a comprehensive energy system optimal configuration method and system considering medium and long term characteristics of hydrogen energy storage, and the method comprises the steps: constructing a multi-energy coupling mathematical model of a rural comprehensive energy system; a typical day containing multi-dimensional data is generated by a typical day generation method based on spectrum joint clustering, a hydrogen energy storage long-period operation model is constructed, and the hydrogen storage amount at any moment in the whole-year operation period is decomposed into dynamic superposition of the initial hydrogen storage amount and a typical day scene; constructing a double-layer optimization configuration model comprising capacity configuration and scheduling operation, wherein the double-layer optimization configuration model comprises an upper-layer capacity configuration model and a lower-layer scheduling operation model; and solving the double-layer optimal configuration model by adopting a Benders decomposition method, splitting the double-layer optimal configuration model into a main problem and a sub-problem, and carrying out iterative approximation to an optimal solution by utilizing a plane cutting method. The system capacity configuration is optimized, the solving efficiency is improved, and the consumption capability of renewable energy sources and the overall flexibility of the system are effectively improved.

The invention relates to the technical field of optimal dispatching of a power system, in particular to a day-ahead power generation plan compilation method for wind-solar-thermal-storage collaborative optimization, which comprises the following steps of: establishing a wind-solar-thermal-storage collaborative optimization model on the basis of minimum start-stop time of a unit, start-stop cost constraint, wind-solar unit maintenance time period and output coupling constraint and spinning reserve capacity constraint; constructing a unit commitment optimization model taking the minimization of the total operation cost of the system as a target function; based on a unit combination optimization model, a direct current power flow model constraint, an energy storage dynamic characteristic model constraint, a transformer load rate safety threshold constraint and a segmented energy abandoning punishment mechanism constraint, an economic dispatching and safety verification model with wind and light absorption rate maximization as a priority target is constructed; reducing the constraint dimension of the direct current power flow model based on a hierarchical solving strategy and a key transmission section recognition algorithm; and iteratively solving a unit commitment problem and an economic dispatching problem, and analyzing and correcting an out-of-limit risk based on sensitivity. According to the invention, the economical efficiency, the safety and the renewable energy consumption capability of the power system are improved.

The invention relates to the technical field of energy engineering, in particular to an energy system optimization method based on mine compressed air energy storage, and the method comprises the following steps: S1, constructing a multi-energy-flow network: constructing the multi-energy-flow network comprising waste mine renewable energy power generation, compressed air energy storage, mining mountain combined heat and power generation and ORC devices in combination with the full life cycle of a mine, a waste-recovery coupling energy topology of electricity-heat-cold-gas cooperative energy supply is formed; s2, multi-energy flow system modeling: establishing a mining mountain side equipment model and an abandoned mine side compressor, turbine power generation, gas storage and heat storage tank model; and S3, optimization scheduling modeling: introducing a CVaR index, constructing an optimization objective function containing energy purchase, operation and maintenance and energy abandoning costs, setting system operation and equipment constraints, and forming a risk-considered CMIES optimization scheduling model. According to the invention, the operation cost of the energy system in the mining area is reduced, renewable energy sources are efficiently consumed, and resources in the whole life cycle of the mine are cooperatively utilized.

The invention provides a dual-time-scale optimization scheduling system and method considering diesel storage insurance supply and new energy consumption, and the method comprises the steps: collecting a plurality of data in real time, and outputting a historical data set and real-time monitoring data to a scheduling module; based on the wind and light output predicted values and load predicted values of the day before dispatching and the dispatching day, a multi-target optimization model is constructed, an energy storage charging and discharging plan, a diesel generator start-stop plan and an electric vehicle dispatching instruction are output, and cross-day energy transfer is achieved; on the basis of a model prediction control principle, 15 minutes are taken as a scheduling step length, a day-ahead scheduling plan is corrected in a rolling manner in combination with ultra-short-term source load prediction data, and prediction deviation is stabilized; controlling charging and discharging switching of the energy storage system, dynamic adjustment of the charging power of the electric vehicle and the operation state of the charging pile; through cooperative operation of day-ahead pre-scheduling and intra-day rolling optimization, source-load balance and low-carbon operation are realized. According to the scheduling system, long-period energy planning and short-period dynamic correction are both considered, and the self-consistency and low-carbon property of the off-grid charging station are improved.

The invention belongs to the technical field of energy station management, and particularly relates to a comprehensive energy station management system based on a light storage and charging micro-grid, and the system comprises a sensing layer which is used for collecting the real-time operation data of a photovoltaic facility, an energy storage system, a charging pile and an environment; the network layer is used for transmitting data of the sensing layer in real time and establishing two-way communication with a power grid dispatching center at the same time; and the application layer is used for realizing energy optimization scheduling, equipment cooperation, fault early warning and power grid interaction according to the data transmitted by the network layer. The AI dynamic energy scheduling module, the prediction model module, the optimization model module and the solving module are arranged, so that the energy utilization efficiency can be improved, the light abandoning rate can be greatly reduced, the electricity purchasing cost can be remarkably reduced, and economic optimization is realized.

The invention discloses a wind, light and fire storage operation scheduling optimization method, device and equipment, a medium and a product, and relates to the field of comprehensive energy optimization, and the method comprises the steps: constructing an operation model and an operation scheduling optimization model of a to-be-adjusted wind, light and fire storage system; according to the value of the judgment parameter, determining the adjustment requirement of the fire and energy storage combined output at the current moment, and based on the adjustment requirement and a preset priority adjustment mode, determining an operation constraint for limiting the adjustment priority of the thermal power element and the energy storage element; solving the mixed integer model to obtain an operation scheduling scheme of the wind-solar-thermal storage system to be adjusted; the mixed integer model comprises an operation constraint and an operation model and an operation scheduling optimization model of the to-be-adjusted wind-light-fire storage system, the cleanliness and reliability of the wind-light-fire storage system can be considered, the stability of an electric power system is ensured, meanwhile, consumption of traditional energy such as fire coal is reduced, carbon emission is reduced, and the service life of the wind-light-fire storage system is prolonged. And the comprehensive utilization maximization of energy is realized.

The invention relates to the technical field of power electronics and new energy control, in particular to a hybrid inverter collaborative energy management system and method suitable for an optical storage system. According to the system, by constructing an alternating current and direct current side impedance collaborative matching framework, the power grid impedance and the direct current link state are sensed in real time, direct current equivalent impedance and alternating current reactive output are optimized in a collaborative mode, and the frequency domain impedance characteristic of the system is actively reconstructed to suppress oscillation. The invention provides a hybrid inverter collaborative energy management system and method suitable for an optical storage system, which solve or at least alleviate the problem of AC-DC coupling oscillation of the optical storage system under weak power grid and power fluctuation, improve the dynamic robustness, operation efficiency and safety reliability of the system, realize millisecond-level oscillation detection and suppression, and improve the reliability of the system. The energy storage life is prolonged; and the overall energy efficiency is improved.

The invention discloses a deep peak regulation and frequency modulation heat energy storage system and method coupled with a coal-fired unit, and belongs to the technical field of coal-fired unit flexible transformation and power grid regulation. Aiming at the problems that a single fused salt / solid heat storage occupies a large area, the initial investment is high, a steam generation system is complicated, and a conventional coal-fired unit is difficult to meet the requirements that the minimum power generation output of a new generation coal-electricity pilot demonstration unit is less than or equal to 20% Pe, and deep peak regulation is realized to give consideration to primary frequency modulation performance through self or auxiliary regulation as much as possible in the specification of power generation and transformation energy (2025) 363. The system comprises a heat energy storage unit and a coal-fired unit, the heat energy storage unit comprises a demineralized water supply water tank, an electrode steam boiler, a spherical tank and a heat storage type steam temperature increasing device, and the structure of spherical tank flash evaporation steam supply and heat storage temperature increasing sensible heat supplementing is adopted to be matched with steam supplementing of a steam turbine. The combined minimum power generation output of the two can be reduced to 10% Pe, the peak increase output is at least 5.6% Pe, primary frequency modulation is assisted by increasing and decreasing the power consumption of the electrode steam boiler, and new energy consumption is assisted.

The invention belongs to the technical field of energy planning, and discloses a coal mining area green electricity direct connection planning method and system, and the method comprises the steps: integrating geographic space information, obtaining a three-dimensional geographic space information database, carrying out the processing through a land recycling evaluation model, obtaining a thermodynamic diagram, and carrying out the quantitative analysis of the thermodynamic diagram, and obtaining the power generation amount. Processing and fusing by using a space-time convolutional neural network and a distributed intelligent sensing model to generate a meteorological database; analyzing by using a wind power and photovoltaic space-time output model to obtain a photovoltaic combined sample; processing by using the load prediction model to obtain a load prediction curve set; a source-load time sequence mismatch quantitative model is input for analysis, and an energy storage collaborative configuration scheme is obtained; inputting a multi-target line optimization model for analysis to obtain a direct connection line topological structure diagram; and performing data-driven optimization decision optimization to obtain a source storage load collaborative optimization model, and performing coal mining area green electricity direct connection planning through the source storage load collaborative optimization model. The green electricity is obtained through direct connection, and the cost is reduced.

The invention relates to the technical field of high-altitude wind power generation, in particular to an energy storage device suitable for high-altitude wind power generation, a working method and a system. The energy storage device comprises a track, a movable sliding block is arranged in the track, one end of the sliding block is connected with a motor of the high-altitude wind power generation system through a cable, and the other end of the sliding block is connected with an aerial assembly of the high-altitude wind power generation system through a cable; the energy accumulator comprises a fixed end and a movable end, the fixed end is fixed on the track, and the movable end is fixed on the sliding block; when the aerial assembly does work upwards, the energy accumulator accumulates energy; the energy accumulator releases energy when the aerial assembly is retracted downward. According to the technical scheme, the energy accumulators are arranged on the rails, energy can be stored when the aerial assemblies do work upwards, the stored energy can be released when the aerial assemblies are recycled downwards, and therefore the recycling energy consumption of the aerial assemblies can be greatly reduced.

The invention relates to the technical field of battery life prediction, and discloses a battery pack life prediction method and device and a storage medium, and the method comprises the steps: obtaining a standardized monitoring data matrix; generating a reconstructed electrochemical impedance spectroscopy data matrix according to the standardized monitoring data matrix and a preset impedance spectroscopy reconstruction algorithm; extracting a plurality of health factors according to a nonlinear manifold learning method; obtaining a predicted life end time point of the battery pack according to the target differential equation model; wherein the target differential equation model is obtained by performing constraint condition fusion, scale expansion, constraint condition intensity adjustment and control of balance of a known area and an unknown area on the initial neural differential equation model; the initial neural differential equation is used for describing the evolution dynamics of the health factors along with time. According to the method, high-precision, interpretable and high-adaptability battery life prediction is realized, and the method has important application value in the fields of electric automobiles, energy storage systems and electronic equipment.

The invention discloses a double-voltage adaptive rectification PFC (Power Factor Correction) circuit structure and an electric flame stove. The double-voltage adaptive rectification PFC circuit structure comprises an EMI (Electro-Magnetic Interference) filtering unit, a voltage doubling rectification unit, a full-bridge rectification unit, a circuit switching control unit, a startup protection unit and a power factor correction unit. According to the circuit switching control unit, through conversion of full-bridge rectification or voltage-multiplying rectification, adaptability to commercial power of two different voltages is achieved; according to the power-on protection unit, when 220V mains supply is input, after the circuit voltage is stabilized, the relay RLY2 is completely switched on, and soft start protection is achieved; according to the invention, the MOS tube Q1 / Q2 is alternately connected and disconnected in a time sequence, so that the inductor L2 stores energy or discharges, the capacitor C22 is charged or discharged, the power factor correction unit outputs stable high-voltage electricity to a rear-end circuit or a load, when the MOS tube Q2 is connected, the resistance is zero, the superposed high-voltage electricity is transmitted to the rear-end circuit when the potential of the inductor L2 discharges, and low-loss energy conversion is realized.

The invention discloses a wind and light storage cooperative control system based on source load matching. The system aligns a source load storage network and communication information and carries out credible evaluation; wind, light and load are predicted, and uncertainty levels are given; calculating a matching degree and a short plate hot spot, and combining network side hard constraints such as voltage, power flow and reverse transmission to obtain an acceptable boundary; when the matching is qualified and the complementary energy is still available, identifying the complementary energy / energy shortage and the reason, quickly checking the transferable margin and loss by the edge, generating a routing plan containing retention time and action budget, and scheduling the stored energy and the flexible load in a rolling manner; meanwhile, the risk budget and standby are written back according to feasibility, prediction uncertainty and communication quality, gray release and automatic rollback are achieved in cooperation with degradation and playback scoring, and consumption and traceability are improved.

The invention relates to a water-light-storage integrated micro-grid system and a control method thereof. The system comprises a distributed hydroelectric power supply, a distributed photovoltaic power supply, an energy storage system, a medium-voltage AC-DC flexible interconnection device, a micro-grid energy management system and a load. The medium-voltage AC / DC flexible interconnection device is connected in series between a grid-connected point of the micro-grid and a superior power distribution network, an AC port of the medium-voltage AC / DC flexible interconnection device is used for realizing flexible power flow mutual aid between the micro-grid and the superior power distribution network, and a DC port of the medium-voltage AC / DC flexible interconnection device is used for being connected with an energy storage system; and the micro-grid energy management system is in communication connection with the distributed hydroelectric power supply, the distributed photovoltaic power supply, the energy storage system and the medium-voltage AC / DC flexible interconnection device, and is used for collecting system operation data, executing an optimization control strategy and realizing autonomous operation of the micro-grid and cooperative control of the micro-grid and a superior power distribution network. The system can effectively cope with seasonal load peaks, greatly improve the local consumption rate of distributed water and light resources, and enhance the power supply reliability and operation flexibility of a local power grid.

The invention discloses a method for identifying defects of an underground energy storage space structure, and the method comprises the steps: obtaining the point cloud data of the underground energy storage space structure, and constructing a three-dimensional point cloud model based on the point cloud data; performing feature extraction on the three-dimensional point cloud model to obtain a crack region; calculating the crack area to obtain occurrence information and a group system of the crack; carrying out refinement processing on the crack region through a three-dimensional morphological analysis method to obtain a crack skeleton line, and carrying out length calculation on the skeleton line to obtain a crack continuity parameter; according to the crack skeleton line, carrying out width calculation on the crack region to obtain width distribution characteristics; obtaining filling corrosion characteristics according to the point cloud reflection intensity information of the crack area; evaluation is carried out according to occurrence information and groups of the cracks, crack continuity parameters, width distribution characteristics, filling dissolution characteristics and density information, a comprehensive score is obtained, and an underground energy storage space structural body defect degree identification result is obtained according to the comprehensive score.