790 results about "Battery energy storage system" patented technology

The invention relates to the technical field of battery management systems, in particular to a distributed battery state estimation and compensation method based on voltage and current sampling, which comprises the following steps: constructing an original characteristic matrix by synchronously acquiring voltage and current waveforms and extracting ripple characteristics and slope abrupt change points, and generating a characteristic tensor with environment correction through a coupling compensator; then constructing a state parameter space based on adaptive particle injection and an electrochemical-thermodynamic coupling model; adopting a multi-source data fusion engine to realize distributed collaborative estimation of a health state index and a charge state confidence interval, and completing SOC, SOH and temperature trend prediction and residual compensation correction through a multi-state dynamic prediction model; and based on the prediction result and the uncertainty boundary, constructing an energy compensation optimization model, and searching a Pareto optimal compensation strategy. The method can be widely applied to intelligent management and control in the fields of battery energy storage systems and electric power equipment.

The invention discloses a linkage protection method of a battery energy storage system and the battery energy storage system. The linkage protection method of the battery energy storage system comprises the following steps: S1, monitoring multi-dimensional operation parameters of a battery pack in real time; s2, performing parallel feature extraction on the multi-dimensional operation parameters based on a preset dynamic association model; s3, establishing a three-dimensional safety assessment coordinate system, performing vector overlay analysis on each representation value and a corresponding axial threshold boundary, and outputting four-stage dynamic safety level criteria; and S4, activating the hierarchical protection coprocessor according to the dynamic security level criterion. According to the method, through the core design of multi-dimensional dynamic correlation modeling and hierarchical cooperative control, the problems of response delay and protection blind areas of a traditional method under complex working conditions are solved, an innovative three-dimensional safety evaluation system recognizes potential risks in advance, the cooperative efficiency of a hierarchical protection mechanism is improved, and the false triggering rate of disconnection decision is reduced.

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

The invention provides a dynamic reconfigurable battery energy storage system balance control method and device based on PWM duty ratio modulation. Belongs to the battery system control field. Voltage information of all single batteries in the energy storage system is collected in real time, total loop current, system operation modes and temperature distribution are monitored synchronously, a controller dynamically calculates charge state values of all the single batteries based on the information, a target object to be balanced is recognized, and meanwhile a global battery consistency evaluation index is established. The method dynamically adjusts the maximum allowable equalization current and generates an equalization topology. The modulation frequency, the duty ratio spectrum amplitude and the phase distribution are adjusted through PWM, and the maximum duty ratio is limited. All the operation instruction sets take effect synchronously at the starting moment of the next equalization period. Besides, the efficiency and working condition mapping table in the historical learning library is synchronously updated to form a closed-loop self-evolution optimization mechanism, so that the balance efficiency optimization of the system in a dynamic scene is realized, and the voltage overshoot is ensured to be within a set threshold value.

The invention discloses a battery prefabricated cabin intelligent refrigeration control method and system based on data driving, and relates to the technical field of battery energy storage system thermal management, and the method comprises the steps: collecting the operation multi-source data of a battery prefabricated cabin, and constructing the current thermal environment state expression; constructing a battery cabin short-term internal heat change trend prediction model based on the operation multi-source data of the battery prefabricated cabin; and according to the current thermal environment state expression and the thermal trend prediction result of the battery compartment short-term internal thermal change trend prediction model, an optimal control strategy for an air cooling, liquid cooling or composite refrigeration mode is formulated. According to the method, a closed-loop thermal management system driven by data is formed by constructing a thermal state expression module, a thermal trend prediction module and an intelligent refrigeration decision module, accurate recognition and active regulation and control of the thermal risk of the battery prefabrication cabin are achieved, the temperature control precision and the response efficiency are improved, energy consumption and over-control risks are effectively reduced, and the method is suitable for popularization and application. And the system has the advantages of remarkable engineering practical value and system intellectualization.

The invention relates to a reconfigurable battery energy storage system grid-connected and off-grid seamless switching control method and device. The method comprises the following steps of: sensing a real-time power grid state, pre-judging a system operation mode, and acquiring a millisecond-level panoramic information flow of the power grid state through a high-speed sampling voltage sensor, a high-speed sampling frequency sensor, a high-speed sampling phase sensor and a high-speed sampling communication interface. And pre-judging the stability and disturbance trend of the power grid through a deep learning algorithm, executing a power distribution and voltage support algorithm in grid-connected and off-grid modes, and calculating an optimal switching opportunity point and a system reconstruction target topology scheme. Meanwhile, the harmonic distortion rate and the voltage sag depth are calculated in real time through discrete Fourier transform, so that a mode pre-judgment mechanism is automatically triggered. After switching, key parameters such as voltage, frequency and power are automatically corrected through real-time sampling and observation, and zero-sensing switching is achieved. The method can effectively improve the response speed and stability of the battery energy storage system when the power grid fails, and guarantees the safe operation of the power grid.

In an approach to a state of health for grid applications, a system includes one or more battery energy storage systems having a plurality of batteries; energy sources; power distribution systems; and computing devices. The computing devices are configured to: for each of the battery energy storage systems: receive battery parameters for each of the batteries from the battery energy storage systems; determine a lithium plating state, a solid electrolyte interface (SEI) thickness, and a dendrite length for each of the plurality of batteries; determine a battery state of health (SOH) for each of the batteries based on at least one of the lithium plating state, the SEI thickness, and the dendrite length; determine a battery charge profile to mitigate aging for each of batteries based on the SOH; and send updated battery parameters and control thresholds for each of batteries to each of the battery energy storage systems.

The invention discloses a waste heat-demand two-stage optimization design method for a multi-energy combined supply Carnot battery system, and belongs to the field of energy storage and comprehensive energy utilization, and the method comprises the steps: determining the energy demand and waste heat source condition of a target energy supply object; constructing a multi-energy combined supply Carnot battery energy storage system model composed of a multi-energy conversion subsystem and a Carnot battery subsystem; the method comprises the following steps: performing parameter optimization on performance expressions of an energy storage loop and an energy release loop of a Carnot battery subsystem through first-layer optimization, and determining Carnot battery system performance and state parameters of each point under unit cold and heat source flow; and through second-layer optimization, multi-objective optimization is carried out on the efficiency of the first law of thermodynamics, the efficiency of the second law of thermodynamics and the economical efficiency of the system, and the optimal heat source flow input into the energy storage loop, the optimal heat storage water flow input into the multi-energy conversion subsystem, the optimal heat storage water flow input into the energy release loop and the corresponding overall performance of the Carnot battery system are determined.

The invention relates to a sodium electric energy storage system dynamic partition power control method based on string type cluster level management, which comprises the following steps of: firstly, realizing physical isolation of battery clusters through a string type framework, configuring an independent power conversion module and a cluster level controller for each cluster, acquiring voltage, current, SOC (state of charge) and SOH (state of health) of each cluster in real time, and on the basis of the data, in a discharging or discharging process, determining the state of charge of each cluster; a dynamic partition strategy and automatic adjustment of power distribution are realized according to inter-cluster SOC, SOH, voltage range, temperature range, power limit and other differences, and an energy storage system is dynamically divided into a high-energy high-health area, a high-energy medium-health area, a medium-energy high-health area, a medium-energy medium-health area, a low-energy or sub-health area and a fault early warning area in a discharging and charging mode; and rapid balance of electric quantity among clusters is realized through the converter module, so that power distribution is ensured to meet power grid requirements, overcharge and overdischarge of batteries are avoided, and the service life of a battery system is prolonged.

The invention relates to a self-adaptive cooperative control system and method for a sodium-ion battery energy storage system, and relates to the technical field of energy storage system control. An EMS-BMS-PCS cooperative control module is customized, a three-level architecture dynamically adjusts a voltage threshold value, and the SOC is corrected; the multi-stage active safety protection module comprises battery cell monitoring, fault battery cell ejection, modular battery replacement and three-stage fusing protection; the power grid response module PCS performs high-frequency sampling and supports grid-connected and off-grid switching and AGC / AVC service; the intelligent collaborative optimization engine integrates data to generate a charging and discharging strategy, and early warning is performed 14 days in advance for predictive maintenance; the layered distributed control module is used for realizing battery cell-to-system level management; and the double-ring network communication redundancy module ensures real-time transmission of instructions. According to the invention, the DoD and capacity utilization rate of the sodium-ion battery is improved, and the system economy is enhanced; heat spreading is blocked through multi-stage protection, the maintenance time is shortened, and the safety is improved; millisecond-level response meets the high-order demand of a power grid, predictive maintenance reduces the operation and maintenance cost, and the method is suitable for multiple energy storage scenes.

The embodiment of the invention provides a digital simulation modeling method and device of a tandem type hybrid electric propulsion system, computer equipment and a medium, and relates to the technical field of simulation modeling, and the method comprises the following steps: constructing a turboshaft prime mover model, constructing a generator model, connecting the turboshaft prime mover model and the generator model in series to generate a generator set, the power generation groups are connected in parallel to construct a turbine power generation system; constructing a propulsion system; constructing a battery energy storage system; constructing a power transmission and distribution system, and respectively connecting the power transmission and distribution system with a turbine power generation system, a propulsion system and a battery energy storage system; and constructing a comprehensive control and energy management system, and outputting a digital simulation modeling result through a turbine power generation system, a power transmission and distribution system and a battery energy storage system. According to the scheme, a simulation modeling method based on multi-physics field coupling double-power-source dynamic response and energy flow regulation and control provides reliable modeling technical support for engineering application of a tandem type hybrid electric propulsion system.

The invention discloses a dynamic thermal management and risk pre-judgment system for a lithium battery energy storage system, and relates to the technical field of lithium battery energy storage, and the system comprises a thermal field monitoring module which generates a real-time three-dimensional thermal field distribution map of a battery pack; the dynamic regulation and control module is used for self-adaptively regulating the heat dissipation power and the refrigerant flow in combination with the charging and discharging states of the battery and the environmental parameters; the risk assessment module is used for constructing a thermal runaway risk grade assessment model and generating a risk probability value; the early warning response module triggers a multi-stage early warning mechanism according to the risk probability value, and is linked with the dynamic regulation and control module to execute an emergency heat dissipation strategy to generate a risk disposal scheme; and the data archiving module is used for storing data. According to the invention, the whole-process intelligent design of monitoring, regulation and control, evaluation, early warning and archiving is provided, the thermal management precision, the risk prevention and control capability and the operation economy of the lithium battery energy storage system are comprehensively improved, and a key technical guarantee is provided for large-scale energy storage application.

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.

Systems and methods for detecting intermittent connections in a battery energy storage system (BESS) subsystem are disclosed. For each battery rack in the BESS subsystem, current time series data is received. A current rolling average is determined for each data point of the time series data by averaging current values of timestamps over a specified time interval. A current delta is determined for each data point, where the current delta is a difference between the current rolling average associated with the battery rack under analysis and a mean of the current rolling averages associated with the other battery racks in the BESS subsystem. A distribution profile of the current deltas is analyzed to detect a current anomaly at the respective battery rack. In response to detecting the current anomaly at the battery rack under analysis, an alert indicative of a faulty connection is displayed on a user interface.

When supporting ancillary services for a target power system, existing solutions consider a fixed capacity of the battery energy storage system. In contrast, disclosed embodiments leverage a forecast of ancillary events, in combination with an optimization model, to produce an optimal determination for ancillary services. In particular, required capacity may be calculated from the forecast of ancillary events, and a capacity constraint may be generated from the required capacity and incorporated into the optimization model. Then, the optimization model may be solved to produce an optimal determination for ancillary services.

The invention discloses a network construction type battery energy storage system and a control method thereof, and relates to the technical field of battery energy storage. Electrical parameters and operation state parameters are preprocessed, and feature vectors are generated; analyzing offset features based on the feature vectors, and performing feature drift marking; analyzing the spacing characteristics of each battery energy storage device, and performing clustering analysis according to the spacing characteristics; analyzing the equivalent capacity of each cluster in the clustering result; obtaining a historical regulation and control record set, and analyzing the association degree between any two moments; the composite energy fluctuation value at the current moment is analyzed, and a dynamic regulation and control threshold value is analyzed in combination with the correlation degree of the real-time moment and the historical moment; matching degree indexes of all clusters are analyzed in combination with the equivalent capacity and the total regulation and control instruction, an ordered cluster index sequence is generated after sorting, and hierarchical regulation and control instruction analysis is conducted on the ordered cluster index sequence; the allocation proportion is dynamically adjusted, resource allocation is optimized, and the regulation and control risk is reduced.

The invention belongs to the technical field of battery energy storage systems. The invention provides a power distribution method and system for a battery energy storage system, a medium and computer equipment, when the target power of the energy storage system is not zero and the target power is greater than or equal to the sum of the maximum charging and discharging power of all energy storage units, all the energy storage units operate at the maximum charging and discharging power; when the target power of the energy storage system is not zero and the target power is smaller than the sum of the maximum charging and discharging power of all the energy storage units, determining the number of required energy storage units according to the target power and the maximum charging and discharging power of each energy storage unit, and selecting the energy storage units to be used according to an energy storage unit priority rule; performing global optimization on the target power distribution to obtain an optimal or approximately optimal power distribution value of each energy storage unit to be used; according to the invention, the SOC balance degree of the battery energy storage system is improved, and the risk of over-charging and over-discharging is reduced.

A device, method, and non-transitory computer readable medium for controlling a power distribution system includes an islanded microgrid and a control system. The islanded microgrid includes battery energy storage systems (BESSs) that operate as a primary energy source, and a decentralized consensus-based virtual synchronous generator (VSG). The control system simultaneously, emulates inertial response of a synchronous generator by the virtual synchronous generator during grid disruptions to regulate and stabilizes frequency of the islanded microgrid, and maintain consensus among the plurality of battery energy storage systems (BESSs).

Provided are a control method and apparatus, an electronic device, and a storage medium. The method comprises: issuing alternating-current active power to corresponding bidirectional energy storage converters so as to adjust current distributed by each bidirectional energy storage converter; and controlling each direct-current power converter on the basis of a target current distribution ratio so as to adjust current distributed to each battery cluster. By controlling alternating-current active power issued to the bidirectional energy storage converters to be a given value, the current of each direct-current bus is controlled, so that battery stacks are simultaneously fully charged or fully discharged; in addition, the current is distributed on the basis of the current ratio of battery clusters in a same stack to reduce system differences, thereby greatly improving the consistency, service life, working efficiency and depth of charge and discharge of a whole battery energy storage system.

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

The invention relates to an electrolytic hydrogen production and fuel cell waste heat gradient utilization system and method based on an organic Rankine cycle, and belongs to the field of new energy. The system comprises a wind power generation unit, a photovoltaic power generation unit, a storage battery energy storage system, an electrolytic hydrogen production device, a hydrogen storage system, a fuel cell power generation unit, a waste heat utilization unit and an organic Rankine cycle device, and can be used for realizing multi-element consumption and gradient utilization of renewable energy sources. The method specifically comprises the following steps: establishing equipment models in a system, wherein an electrolytic bath considers five states of shutdown, cold start, standby, hot start and standby; on the basis of a mixed integer linear programming method, operation constraints of all equipment, renewable energy output prediction and electricity, heat and hydrogen load requirements are integrated, an optimization scheduling model meeting the electricity, heat and hydrogen load requirements and economical efficiency of the system is constructed, output of all the equipment is coordinated, and finally the optimization targets of maximizing the economical efficiency of the system and meeting the electricity, heat and hydrogen load requirements of the system are achieved.

A meter socket adapter (MSA) for connecting a battery energy storage system (BESS) to a household microgrid through a meter combo load center. The MSA includes: a housing matching an electricity meter and a meter socket in the meter combo load center; a plurality of power conductors that connect among the electricity meter, the meter socket, and BESS; a meter interconnection device (MID) switch for connecting a utility grid or one or more distribution energy resource (DER) devices to supply power to household loads in the household microgrid; a MID driving circuit for driving the MID switch to close or open; and a thermal management circuit couple with a plurality of temperature sensors disposed at each high current connection point to prevent overheat.

The invention relates to the technical field of micro-grid control, in particular to a source-grid-load storage and charging integrated control method and system based on a micro-grid, and the method comprises the steps: considering the current SOC, health state and charging and discharging rate of a battery energy storage system, and evaluating the available capacity and charging and discharging capability of the battery energy storage system; according to the predicted charging load curve, the photovoltaic output curve and the energy storage state evaluation result, taking peak load shifting, photovoltaic consumption and charging station power supply guarantee as targets, generating a scheduling strategy by using an optimization algorithm, and determining a power distribution relationship among a photovoltaic system, a battery energy storage system and a charging station in each time period; and executing a scheduling strategy generated by the energy management module through three stages of regulation and control units, wherein the three stages of regulation and control units are respectively used for limiting grid-connected power fluctuation of the micro-grid, optimizing local energy distribution and island switching, regulating active power and reactive power and carrying out harmonic suppression. And stable operation of the micro-grid and stability of electric energy quality are ensured.

According to the electrical ship optimal scheduling strategy optimization method and related equipment provided by the embodiment of the invention, an electrical ship comprises a photovoltaic module, a plurality of generator sets and a battery energy storage system, and the method comprises the steps of obtaining a photovoltaic power function of the photovoltaic module based on operating environment parameters of the electrical ship in a sailing process; based on the generator set parameter of each generator set, the system state parameter of the battery energy storage system and the charging cost and the charging parameter of the electric ship at the port, obtaining an operation cost function; based on the sailing state parameters of the electric ship, the system operation parameters of the battery energy storage system and the photovoltaic power function, sailing scheduling constraints and energy scheduling constraints are obtained; based on the uncertainty of the photovoltaic power function and the charging cost, generating an uncertainty operation cost optimization model according to the operation cost function, the navigation scheduling constraint and the energy scheduling constraint; and the uncertainty operation cost optimization model is solved, an optimization decision is obtained, and the overall economy of the whole voyage of the electric ship is remarkably improved.

The invention discloses a modern agricultural park comprehensive energy optimization scheduling method considering extreme temperature. According to the method, an extreme air temperature scene is determined based on a meteorological data set and an extreme air temperature event screening index, and energy supply and demand are predicted by using an energy supply-meteorological and agricultural load-meteorological coupling model. And constructing a weekly-ahead and day-ahead two-stage optimization scheduling model, and calculating an optimization scheduling result by using a commercial solver in combination with constraint conditions such as energy balance and the like. Meanwhile, adjustable resources such as a battery energy storage system and a demand response reservoir are considered, and the flexibility and stability of the system are improved. According to the method, the accuracy of source load prediction of the comprehensive energy system of the modern agricultural park at the extreme temperature is effectively improved, unbalanced cost deviation of different time scales is relieved, optimal scheduling of the comprehensive energy system of the agricultural park is achieved, stable supply of agricultural production energy is guaranteed, the energy utilization efficiency is improved, and the method has important application value.

The invention relates to the technical field of sodium battery energy storage safety, and discloses a thermal runaway early warning method and device for a sodium battery energy storage system. Multi-modal data such as acoustic emission, gas dielectric characteristics and electrical parameters are collected in real time through multiple sensors, pre-processing and feature extraction are performed through an edge calculation unit, and the data are transmitted to a central decision-making unit for multi-source information fusion and risk assessment; the thermal runaway risk probability is dynamically calculated by adopting a deep learning algorithm based on an attention mechanism, a grading early warning instruction is generated according to the risk grade, and accurate response is realized through multi-system linkage execution. According to the invention, early-stage monitoring of internal microscopic damage and gas environment abnormity of the sodium battery is realized, timeliness and accuracy of thermal runaway early warning are improved, and safe and stable operation of a sodium battery energy storage system is guaranteed.

The invention is suitable for the technical field of battery safety monitoring, and provides a sodium ion battery energy storage system health state dynamic prediction method based on simulation digital twinning, and the method comprises the steps: constructing a digital twinning body comprising a physical layer, a virtual layer and a data interaction layer; performing health state estimation based on the physical layer and the virtual layer, and outputting a health state estimation value; comparing the health state estimated value with the measured value, calculating a residual error, and updating key aging parameters in the simulation model; inputting the updated key aging parameters into a pre-trained time sequence neural network model, carrying out sequence learning, and outputting a capacity attenuation trend and a residual life prediction result of the battery; generating a full life cycle optimization strategy based on the prediction result, and generating an optimal charge-discharge power table by simulating the influence of different charge-discharge strategies on the life; the problems of life attenuation and high operation and maintenance cost caused by insufficient prediction precision in the prior art are effectively solved.

The invention discloses an energy storage system and a parallel operation control method thereof. The system comprises a battery cluster, a battery management system and an energy storage converter. The battery management system is respectively connected with the battery clusters and the energy storage converter, and the plurality of battery clusters are connected with the energy storage converter through the coupling circuit. Wherein a pre-charging equalization loop is arranged between the battery cluster and the energy storage converter, and the battery management system is used for controlling connection or disconnection of a circuit. The battery management system is also provided with a threshold module which is integrated with a plurality of parallel operation thresholds and is used for judging the switching-on or switching-off time of the contactor. By constructing a coupling system containing a pre-charging equalization loop, the problems of impact current and device damage caused by large inter-cluster voltage difference in the parallel operation process of a traditional multi-battery energy storage system are solved; and meanwhile, through a strategy of setting multiple parallel operation threshold values, targeted current balancing can be carried out according to different dynamic working conditions and electric energy parameter differences, the impact current is prevented from being too high, components are protected, and the operation stability of the system is improved.

The invention provides a control method and device for an off-grid assembly type photo-hydrogen storage roof building module. The method comprises the steps that whether the real-time generated power of a photovoltaic power generation system meets a first electric quantity storage condition or not is judged; if the real-time power generation power of the photovoltaic power generation system meets the first electric quantity storage condition, judging whether the storable electric quantity of the battery energy storage system meets a second electric quantity storage condition or not; if the storable electric quantity of the battery energy storage system does not meet the second electric quantity storage condition and the storable electric quantity of the hydrogen storage system meets the hydrogen storage condition, inputting redundant electric quantity into the water electrolysis hydrogen production system; if the real-time power generation power of the photovoltaic power generation system does not meet the first electric quantity storage condition, whether the battery energy storage system has residual electric quantity is judged, and a residual electric quantity judgment result is obtained; and if the judgment result of the residual electric quantity is no, starting the hydrogen production system to supply hydrogen to the hydrogen fuel cell heat and power cogeneration system. Occupation of land resources can be reduced, the bottleneck of single energy storage can be broken through, and photo-hydrogen storage synergistic interaction is achieved.

The invention relates to the technical field of power generation system transformation, in particular to an energy storage power generation system and method based on thermal power plant transformation. The Carnot battery unit comprises a liquid carbon dioxide storage tank, an electric heater, a compressor, a heat storage transducer heat flow channel and an expansion machine which are connected in sequence, and the liquid carbon dioxide storage tank adopts a boiler drum of a thermal power plant and stores liquid carbon dioxide liquefied by a water chilling unit of the thermal power plant; the heat storage circulating unit exchanges heat with a heat flow channel of the heat storage transducer to store heat; the steam power generation unit adopts a thermal power plant steam generator set and extracts heat stored by the heat storage circulation unit for steam power generation. The thermal power generating unit is transformed into the carbon dioxide Carnot battery energy storage system, the defect that a power grid is unstable in the process that a traditional thermal power plant is gradually converted into new energy is overcome, double stable output electric quantity is achieved, the system efficiency is improved, and meanwhile high economic benefits are achieved.