1071 results about "Stored energy" patented technology

The invention discloses a wind-light-hydrogen multi-energy complementary system cooperative operation optimization and comprehensive benefit evaluation method, which relates to the technical field of electric energy storage, and comprises the following steps: constructing a hybrid power flow model containing electricity, hydrogen and heat coupling, taking whole life cycle cost and new energy consumption as double targets, introducing grid-connected and off-grid risk constraints, and optimizing equipment capacity configuration; a scheduling baseline and an intra-day dynamic correction strategy are formulated in the day-ahead stage, and hybrid energy storage cooperative control is combined to improve the response speed and flexibility of the system to wind and light fluctuation; a peak regulation and frequency modulation mode is switched according to the power grid state, a power response model is established, fluctuation is stabilized through hydrogen energy storage, the stability of the power grid is enhanced, and auxiliary service benefits are created; the performance of the system is evaluated from the three dimensions of efficiency, economy and interactivity, dynamic weight and Monte Carlo simulation optimization are utilized, system parameters are continuously optimized through a feedback mechanism, and the self-evolution ability is formed. The problem that system instability and economy are difficult to take into account due to wind and light fluctuation is solved.

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 an intelligent temperature monitoring device of a computer main board and a control method thereof, and relates to the field of temperature monitoring of the computer main board, the intelligent temperature monitoring device comprises a temperature sensing module which uses a plurality of high-sensitivity sensors in a key area and is high in precision and fast in response, a data transmission module transmits data at a high speed through Bluetooth or Wi-Fi and encrypts the data, and a control unit is multi-core heterogeneous and adjusts a temperature threshold according to an algorithm. The alarm module performs over-temperature acousto-optic alarm and has multiple modes, the heat dissipation control module intelligently adjusts heat dissipation equipment, the display module visually displays the temperature condition, the power management module supplies power in a voltage-stabilized mode and has stored energy backup, and all the modules cooperate to guarantee that the temperature of the mainboard is monitored, regulated and controlled accurately and efficiently. The device accurately monitors the temperature of the mainboard, the sensor is high in precision, the response is fast, data transmission is safe and efficient, control is intelligent, heat dissipation is reasonable, display is visual, power management is good, overheating can be effectively prevented, the service life of the mainboard is prolonged, the operation stability and safety of a computer are improved, and user experience is enhanced.

The disclosure relates to an audible indicator for use with a drug delivery device comprising a bistable resilient force member capable of residing in two states. In a biased state, the resilient force member is biased and stores energy In a relaxed state, the resilient force member is relaxed. The resilient force member releases the stored energy when transitioning from the biased state into the relaxed state, thereby generating an audible signal.

The invention provides a consumption reduction method and device for a wind and light energy storage complementary thermal power plant system, and the method comprises the steps: obtaining the wind speed, illumination intensity, energy storage charge state, auxiliary power load curve, power grid dynamic electricity price signal and thermal power generating unit auxiliary machine operation parameters of the thermal power plant system, and taking the parameters as a data set; based on a weather prediction model, a load prediction model and an electricity price fluctuation model, generating a wind power generation output prediction value, a photovoltaic power generation output prediction value, a load demand prediction value and an electricity price interval prediction value in a future preset time period according to the data set, and taking the prediction values as prediction results; by taking minimization of plant power cost and maximization of renewable energy consumption as targets, generating an energy storage charging and discharging instruction, a wind power generation and photovoltaic power generation grid-connected priority sequence and a thermal power auxiliary engine regulation and control strategy according to the data set and the prediction result to serve as control instructions; control instructions are executed through control equipment in the wind-solar energy storage complementary thermal power plant system, and energy conservation and consumption reduction are achieved by integrating wind energy, solar energy and an energy storage system.

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 provides a wind-light-water storage integrated scheduling method and system based on big data, and relates to the technical field of energy management, and the method comprises the steps: extracting a driving factor of wind-light-water storage data based on a generalized dynamic factor model, and carrying out the dynamic modeling of the driving factor, and obtaining an output state feature graph of a wind power plant and a photovoltaic power station; constructing an edge dependence structure based on a Copula function to obtain a wind-light-water combined space structure diagram; generating an energy storage response strategy sub-graph according to the wind-light-water combined space structure graph, the charge state of the energy storage system and the device degradation parameters; according to the energy storage response strategy subgraph and the load data and fluctuation data of the regional load center, singular spectrum analysis is carried out to extract periodic load characteristics, and a multi-energy output path field is obtained; and performing fuzzy approximate reasoning on the path field to obtain an optimal joint scheduling sequence. According to the method, the whole-process closed-loop optimization of the dispatching of the wind-light-water storage system is realized, and the method has the advantages of high prediction precision, high response speed and high dispatching flexibility.

The invention discloses an electric energy bidirectional multipath AC / DC conversion circuit, and relates to the technical field of electric energy conversion, and the circuit comprises a power supply multipath power distribution module which is used for inversion filtering, multipath power distribution and electric energy complementary superposition processing; the intelligent control module is used for signal receiving and module control; the first adjusting module is used for constant-voltage adjustment, constant-current adjustment and residual electric energy superposition control and supplying power to the first output module; the second adjusting module is used for constant-voltage adjustment, constant-current adjustment and residual electric energy superposition control and supplying power to the second output module; the energy storage control module is used for storing residual electric energy and supplying power; and the compensation control module is used for boosting and providing electric energy for the first adjusting module or the second adjusting module. According to the electric energy bidirectional multipath AC / DC conversion circuit, multipath power distribution processing can be carried out, constant current or constant voltage adjustment processing can be carried out according to needs, the superposed residual electric energy is stored and is supplied to the first adjustment module or the second adjustment module, the utilization rate of the electric energy is improved, and a wider voltage range can be provided.

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.

The invention discloses a wind and light energy storage power station capacity prediction system based on multiple targets, and relates to the technical field of new energy power generation. The multi-target data acquisition module determines a target area according to power grid topology, load and wind and light resource distribution, equipment is installed to acquire data, a reliable data basis is provided for subsequent modules, data is ensured to be accurate and effective, error and abnormal data interference is avoided, and the balance management module monitors a power grid in real time. Analyzing the wind-solar power generation and electrical load balance relationship, and adjusting the operation mode of the energy storage power station according to the relationship; the power prediction module constructs and optimizes a model, accurately predicts power, calculates energy storage charging and discharging power, ensures stable operation of a power grid and improves energy utilization efficiency, and the scheduling decision module formulates a scheduling scheme in combination with multi-aspect information to ensure safe, stable and economic operation of the power grid; the risk assessment module comprehensively considers various risk factors, assesses the operation performance of each power station, matches a coping strategy and an early warning mechanism, and enhances the operation reliability and safety of the power grid.

The invention discloses a double-layer optimization scheduling method considering electricity-storage-carbon cooperation and user demands, and the method comprises the steps: building a constraint model for the dynamic segmented adjustment of a carbon transaction price along with the carbon emission according to the carbon emission quotas of thermal power, wind power and photovoltaic power and based on a reference carbon transaction cost model; taking the lowest comprehensive power generation cost as a target, jointly optimizing output plans of thermal power, wind power, photovoltaic power and energy storage, coupling the constraint model to limit carbon emission of the thermal power generating unit, and constructing an electricity-storage-carbon collaborative optimization model; a demand response mechanism is constructed based on the user energy consumption mode satisfaction degree and the energy consumption cost satisfaction degree, a user load curve is adjusted and optimized through the electricity price, and a user demand optimization model is established; solving the double-layer optimization model hierarchically by adopting an improved algorithm; and compared with a reference carbon transaction model and a stepped carbon transaction model, the constraint force is stronger, and collaborative optimization of power generation economy, low-carbon property and user satisfaction is realized under the condition of meeting system power balance and power grid security constraint conditions.

The invention discloses a cooperative photovoltaic power generation grid-connected control method, system and device and a medium, and relates to the field of photovoltaic power generation. The method comprises the following steps: acquiring environmental parameters and historical power generation data of each photovoltaic power station in a cluster, and predicting an optimal power generation state of each photovoltaic power station in future preset time according to the environmental parameters and the historical power generation data; determining an output power target value and a voltage target value of the target photovoltaic power station according to the optimal power generation state; adjusting a maximum power point tracking control parameter of the target photovoltaic power station according to the output power target value and the voltage target value, and controlling the target photovoltaic power station to generate power according to the maximum power point tracking control parameter; predicting the power demand in the future preset time according to the current demand of the power grid, calculating the difference between the overall generating capacity of the cluster and the power demand, and controlling the energy storage system to output or store electric energy according to the difference. By implementing the technical scheme provided by the invention, the effect of improving the photovoltaic power generation efficiency is achieved.

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.

An example operation includes one or more of: arranging a connection between a first vehicle associated with a location and a second vehicle associated with the location, wherein the first vehicle has an excess of stored energy and the second vehicle has a shortage of stored energy; and transferring energy from the first vehicle connected at a first connection point associated with the location to a second vehicle connected at a second connection point associated with the location.

The invention discloses a renewable energy scheduling control method based on electricity-carbon-green evidence market coupling, and relates to the technical field of renewable energy control, and the method comprises the following steps: predicting wind and light output fluctuation intervals based on a neural network, and classifying the wind and light output fluctuation intervals; constructing a first simulator based on chaotic mapping, and constructing a second simulator based on quantum machine learning; controlling to switch the first simulator and the second simulator according to a classification result, and outputting a wind-light output predicted value; and controlling energy storage output according to the wind-solar output predicted value and a preset electricity-carbon interaction model. The method is used for solving the problem of insufficient simulator adaptability in different wind and light output fluctuation scenes and insufficient energy storage control capability in an electricity, carbon and green evidence cooperative scene.

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 present disclosure provides an indication device for a stored-energy electric operating mechanism of a circuit breaker, and a circuit breaker. The indication device includes a mounting bracket (1); an indicator (2) movably connected to the mounting bracket (1); and an indicator linkage rod (3) movably connected to the mounting bracket (1). A first reset member (4) is connected between the indicator (2) and the mounting bracket (1), and a second reset member (5) is connected between the mounting bracket (1) and the indicator linkage rod (3). The indicator linkage rod (3) and the indicator (2) are linked through a linkage structure. For the indication device according to the present disclosure, when the circuit breaker is opened and the indicator linkage rod (3) moves to an open state position, the indicator (2) is automatically reset to an "OFF" indication state position by the first reset member (4); when the circuit breaker is closed and the indicator linkage rod (3) is automatically reset from the open state position to a closed state position under action of the second reset member (5), the indicator linkage rod (3) drives the indicator (2) from the "OFF" indication state position to an "ON" indication state position through the linkage structure.

The invention discloses a multi-target planning method and system for a multi-scene long-and-short-period electricity hydrogen energy storage system. The method comprises the following steps: acquiring historical data and historical meteorological data of wind and light power generation and load demands; inputting normalized historical data of the same month into the trained time sequence improved generative adversarial network to obtain annual wind-solar power generation, load demand and meteorological time sequence optimization data; constructing a defense stage objective function by taking economical efficiency maximization and meeting of minimum supply and demand imbalance risk in different scenes as objectives; taking economical efficiency maximization and minimum supply and demand imbalance risk in different scenes as targets, increasing the punishment of power purchase in the risk period of the extreme disaster scene, and constructing an attack stage objective function; and solving the objective functions of the two stages to obtain an optimal configuration result of the system equipment capacity. The method can ensure that the system can stably operate in various environments, and can quickly recover or reduce the influence to the greatest extent when a disaster occurs.

The invention belongs to the field of low-voltage switches, and particularly relates to a kick structure of an isolating switch and the isolating switch, and the kick structure comprises a shell assembly, a kick piece, a linkage piece, an energy-gathering elastic piece, a closing limiting piece and an opening limiting piece. Different from rotary motion of a kick piece and a linkage piece in an existing conventional kick mechanism, the kick piece and the linkage piece of the kick mechanism do linear motion, the energy-gathering elastic piece adopts a pressure spring limited between the kick piece and the linkage piece, and the energy-gathering elastic piece can only do telescopic motion in the first direction X to store / release energy; the opening limiting piece or the closing limiting piece limits the kick piece so that the kick piece can not move to the opening position or the closing position, and the linkage piece moves relative to the kick piece to drive the energy-gathering elastic piece to compress and store energy and moves until the linkage piece pushes the opening limiting piece or the closing limiting piece to unlock. The kick piece quickly acts to the opening position or the closing position under the energy release of the energy-gathered elastic piece, the action is reliable, and the overall size is small.

The invention discloses a flexible resource distributed optimization scheduling method and system considering wind power uncertainty, and the method comprises the steps: constructing a distribution robust opportunity constraint according to a wind power prediction error fuzzy set, and carrying out the convex approximation of the distribution robust opportunity constraint through introducing a conditional value-at-risk, carrying out linearization processing on the distribution robust opportunity constraint after convex approximation; based on the distribution robust opportunity constraint subjected to linear processing, multi-element flexible resource differentiation operation characteristics of an energy storage system, an electric vehicle and an adjustable load are considered, and a flexible resource collaborative scheduling model considering the wind power uncertainty distribution robust opportunity constraint is constructed; adopting a consensus alternating direction multiplier algorithm to reconstruct the flexible resource collaborative scheduling model considering the wind power uncertainty distribution robust opportunity constraint into a distributed optimal scheduling model; and improving a consensus alternating direction multiplier method through a branch and bound method, processing an adjustable load discrete variable, and solving the distributed optimization scheduling model to obtain a flexible resource distributed optimization scheduling strategy.

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 provides a power distribution network layering and zoning electric quantity balancing method based on model prediction, which aims at minimizing adjustment cost, maximizing adjustment capacity and optimizing response speed, constructs a multi-objective optimization model for initial division, optimizes and solves the initial division through a source load matching degree, and improves the power distribution network layering and zoning electric quantity balancing efficiency. Partitioning the power distribution network by taking the size of the net load in the optimized and dispatched region as a judgment basis of the source load matching degree in the region; preprocessing the collected historical data, constructing a load prediction model, and inputting the preprocessed data into the load prediction model to obtain a future power and electric quantity load of the power distribution network partition; on the premise of meeting the power load demand, the active power and reactive power of the distributed energy and the charging and discharging state of the energy storage system are predicted based on model prediction control, and then power and electric quantity supply and demand balance control is achieved. Compared with the prior art, the method reduces the network loss of the power distribution network, improves the local absorption capability, and effectively inhibits the voltage fluctuation.

The invention provides a comprehensive evaluation method for the operation effect of a power grid side energy storage power station, and relates to the technical field of energy storage power station evaluation.The comprehensive evaluation method comprises the steps that a historical evaluation data set is obtained, discrete processing is conducted on the evaluation data set, then the time length t is selected as the evaluation time length, and the normal distribution of voltage in the power grid side evaluation time length is calculated; obtaining an adjusted voltage difference curve according to the voltage of the power grid side and the point voltage of the user side, calculating the adjustment coefficient of the energy storage power station, calculating the daily average loss and the economic coefficient by calculating the theoretical electricity price and the actual electricity price of the energy storage power station according to the historical maintenance cost, carrying out regional division on each energy storage power station, and clustering the regions through a clustering method. And calculating a coordination coefficient of the energy storage power station according to a clustering result, dynamically adjusting the weights of the adjustment coefficient and the coordination coefficient through a weighted adaptive algorithm, and calculating a comprehensive evaluation index according to the adjusted weights.

The invention belongs to the technical field of carbon dioxide energy storage, and particularly relates to a supercritical carbon dioxide energy storage system with combined cooling, heating and power, which realizes combined cooling, heating and power by recycling waste heat of a combined cooling, heating and power system and improves the energy utilization rate of the system. Carbon dioxide generated by the combined cooling heating and power system is captured and stored in the exhausted oil and gas reservoir high-pressure gas chamber and the exhausted oil and gas reservoir low-pressure gas chamber through the carbon dioxide capturing system, energy is stored through the stored carbon dioxide gas, and the stability maintaining effect on electric energy is achieved while carbon emission is reduced. The energy release unit is in heat exchange connection with the carbon dioxide capture system, the temperature of high-pressure carbon dioxide in the energy release stage is increased, and the comprehensive energy utilization rate and efficiency of the system are further improved.

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 discloses a coal-fired unit peak regulation power generation system coupled with carbon dioxide energy storage and an operation method of the coal-fired unit peak regulation power generation system. The peak regulation power generation system of the coal-fired unit comprises the coal-fired unit, a carbon dioxide capturing device and a carbon dioxide energy storage device, wherein the coal-fired unit, the carbon dioxide capturing device and the carbon dioxide energy storage device are connected in sequence; the carbon dioxide capturing device captures carbon dioxide in flue gas discharged by the coal-fired unit by using electric power and steam generated by the coal-fired unit; the carbon dioxide energy storage device is used for performing compression energy storage on the carbon dioxide captured by the carbon dioxide capturing device by utilizing electric power generated by the coal-fired unit; the carbon dioxide energy storage device comprises a carbon dioxide compression device and a carbon dioxide expansion power generation device which operate independently. According to the invention, the peak regulation depth of the coal-fired unit can be effectively improved at the low power consumption ebb, and the consumption level of the power grid on off-peak electricity and new energy is enhanced; and the power generation peak capacity of the coal-fired unit can be effectively improved in the power utilization peak.