150 results about "Supercapacitor energy storage" patented technology

The invention discloses a hybrid energy storage capacity optimal configuration method for stabilizing wind power fluctuation, and belongs to the technical field of wind power generation, and the method comprises the steps: carrying out the clustering of wind power output data based on a K-means clustering algorithm, and obtaining a plurality of wind power output scenes; the wind power output data is decomposed based on an empirical mode decomposition method to obtain a multi-order intrinsic mode function, the multi-order intrinsic mode function is reconstructed into a low-frequency component and a high-frequency component, the low-frequency component is directly connected to a grid, the high-frequency component serves as a power task of the hybrid super-capacitor energy storage system, and the hybrid super-capacitor energy storage system is defined as a target system; establishing a capacity configuration model of the target system, and respectively constructing an optimization objective function and a model constraint set of the capacity configuration model based on the cost input and the constraint condition of the target system; and solving the capacity configuration model based on a genetic algorithm to obtain an initial optimization result, introducing a variable reference line and a fluctuation penalty coefficient, and performing optimization again. According to the invention, the efficiency of stabilizing the wind power fluctuation is improved.

The invention relates to a hybrid supercapacitor energy storage type converter based on an H bridge and an operation method thereof, and the energy storage type converter comprises an upper bridge arm part and a lower bridge arm part. Each of the upper bridge arm part and the lower bridge arm part comprises three bridge arms, and each bridge arm is formed by connecting n H-bridge sub-modules and a bridge arm inductor in series; the upper bridge arm part is connected with a direct current bus, and the lower bridge arm part is connected with a grounding wire; the H-bridge sub-module comprises four switch elements and an energy storage unit, the energy storage unit is a hybrid super capacitor, the four switch elements form an H-bridge structure, and the hybrid super capacitor is connected to the two ends of the H-bridge structure in parallel. According to the invention, the dual functions of energy storage and current conversion in the AC-DC interconnected power grid can be realized under the cooperation of the control strategy, and various operation requirements in different scenes can be met.

The invention relates to a voltage treatment and reliable power supply guarantee system, which comprises a hybrid supercapacitor energy storage unit; the direct current side of the converter unit is connected with the hybrid supercapacitor energy storage unit, the alternating current side of the converter unit is connected with a system main loop, and the converter unit is used for realizing charging and discharging operation of the hybrid supercapacitor energy storage unit; the power supply switching unit is arranged on the system main loop and is used for switching a power supply of a load between an alternating current power grid and the hybrid supercapacitor energy storage unit; and the measurement and control unit is used for collecting measurement data, monitoring and analyzing the state of the whole system according to the measurement data, and performing coordination control on the whole system based on an analysis result. According to the invention, high-quality and high-reliability power supply of important sensitive loads can be realized.

The invention relates to the technical field of wind power plant power prediction, in particular to a power prediction method, system and device based on wind power plant super-capacity energy storage and a medium. The method comprises the following steps: acquiring actual output power value data of a wind power plant at historical moments to form a data set; constructing a prediction model, and performing training based on the data prediction model in the data set; acquiring output power value data of the wind power plant at the current moment, inputting the output power value data of the wind power plant at the current moment into the trained prediction model, and predicting the power value of the wind power plant at the next moment; wherein the prediction model is constructed by adopting a regularized aggregation movement algorithm. The prediction method can accurately predict the output power value of the next moment.

The invention discloses a super capacitor energy storage elevator energy-saving system based on industrial big data. The super capacitor energy storage elevator energy-saving system comprises an elevator operation system network, an energy storage control terminal, a super capacitor module and a standby circuit module. The elevator operation system network comprises a plurality of independent elevator operation systems; the energy storage control terminal comprises an elevator operation data module and an intelligent distribution module, the elevator operation data module performs big data statistics and analysis on operation data of each elevator, and the intelligent distribution module comprises a pre-charging / discharging control unit; a frequency converter assembly is arranged between the parallel circuit and each traction driving assembly, and the parallel circuit and the bleeder circuit are respectively connected with the intelligent distribution module. The device can be installed in an existing elevator system, has good compatibility and is low in implementation difficulty, electric energy generated by descending of an elevator is collected and reused, and the energy utilization rate is increased.

The invention relates to the technical field of power system frequency modulation, and particularly provides a super-capacity combined hydrogen fuel cell coupling thermal power frequency modulation system and method. The system comprises a multi-energy-flow collaborative core assembly which comprises a super capacitor energy storage unit, a hydrogen fuel cell RSOC unit and a thermal power generating unit collaborative module; the three-dimensional coupling collaborative link comprises electrical coupling, thermal coupling and control coupling; the system solves the problems of delayed response of traditional thermal power frequency modulation and insufficient adaptability of a single energy storage technology, and realizes collaborative optimization of stable control of power grid frequency and efficient consumption of renewable energy sources.

The invention relates to the technical field of power system control, and discloses a photovoltaic energy storage primary frequency modulation cooperative control system based on output prediction and SOC balance, which comprises a photovoltaic array unit, a photovoltaic inverter, a sodium ion super capacitor energy storage unit, a bidirectional DC / DC converter and a cooperative controller. The cooperative controller is configured to identify an output trend by using photovoltaic power prediction data, and dynamically adjust an energy storage SOC reference anchor value; a source storage virtual impedance model considering the real-time efficiency characteristic of the sodium ion super capacitor is constructed, and the primary frequency modulation power demand is dynamically allocated. When the state of the energy storage unit deteriorates, the power compensation amount is calculated through photovoltaic load shedding sliding mode offset control, and the closed-loop target of the photovoltaic inverter is corrected to share the frequency modulation task. And after the frequency modulation is finished, controlling the photovoltaic power to recover by adopting an asymmetric step length. The method solves the problems that the energy storage standby is not matched and the response capability is reduced under the extreme working condition, and improves the frequency modulation stability of the system.

The embodiment of the invention provides a control method of a power supply system, the power supply system, energy storage equipment and a sensor, the control method is applied to an indoor Internet of Things wireless sensor, the power supply system comprises an MPPT circuit and a power supply assembly, the input end of the MPPT circuit is used for being connected with a photovoltaic assembly, and the output end of the MPPT circuit is used for being connected with the power supply assembly; the power supply assembly comprises a super capacitor and a storage battery. The control method comprises the following steps: receiving illumination; whether the illumination intensity is larger than a first preset threshold value or not is judged, and if yes, an MPPT circuit is started so that the photovoltaic module can charge the super capacitor at the maximum power point; and detecting the stored energy of the super capacitor, and when the stored energy of the super capacitor reaches a second preset threshold value, controlling the super capacitor to release the stored energy to the storage battery. According to the embodiment of the invention, micro energy can be collected for endurance of the sensor, the service life of equipment is prolonged, and the maintenance cost of the sensor is reduced.

The method is applied to the fields of train regenerative braking energy utilization, stray current and rail potential treatment and the like in electrified rail transit, especially urban rail transit. The invention provides a direct-current traction power supply system capable of reducing the energy storage capacity of a super capacitor of urban rail transit, which is combined with a super capacitor energy storage device of the urban rail transit and supplies power to a power electronic device for treating stray current and rail potential by utilizing regenerative braking energy of a train. The super-capacitor energy storage device has the following advantages that on one hand, the energy storage capacity of the super-capacitor bank in the super-capacitor energy storage device between train braking and traction can be reduced, and the utilization efficiency of regenerative braking energy stored by the super-capacitor bank is improved; on the other hand, the problems of stray current, rail potential and the like in the system can be solved from the source, and the power supply distance of a traction substation is remarkably increased. Therefore, the direct-current traction power supply system is of great significance to green and safe operation of urban rail transit.

The invention discloses a cooperative inertia support strategy based on wind turbine rotor kinetic energy and super capacitor energy storage, and belongs to the field of wind power generation, and the strategy comprises the steps: S1, when a system load sudden change causes frequency change, a wind turbine generator and a super capacitor enter an inertia response stage, and the inertia response stage is similar to the operation characteristics of a synchronous generator; and the wind turbine generator set has inertia characteristics, droop characteristics and the like in the frequency adjusting process at the same time. According to the method, through the mode that the kinetic energy of the wind turbine rotor and the energy storage of the super capacitor cooperate for inertia supporting, the situation that when the wind turbine generator exits the inertia response stage and enters the rotor rotating speed recovery stage, the output power suddenly drops or suddenly increases, and consequently the system frequency is secondarily dropped or the rotor rotating speed is unstable can be effectively prevented; the super capacitor energy storage enables the wind turbine generator to quickly recover the rotor speed to the maximum power operation point according to the proposed power-speed change curve by increasing / receiving additional active power, the maximum active power output of the fan is recovered, and the utilization rate of wind energy resources is improved.

The invention discloses a super capacitor energy storage frequency modulation grid connection method and system based on operation improved VMD, and belongs to the technical field of wind speed prediction, and the method comprises the following steps: decomposing an original wind speed time sequence through a variational mode decomposition method, and obtaining a plurality of subsequences; performing argumentation processing on each sub-sequence to obtain an amplitude representation form of each sub-sequence; carrying out independent calculation on the amplitude representation forms of all the subsequences to obtain independent values; progressively increasing the number of decomposition layers of variational mode decomposition, repeating the steps, and recording an independent value obtained in each cycle; the maximum independent value in all the independent values is obtained through comparison, and the sub-sequence corresponding to the maximum independent value serves as the optimal sub-sequence; and inputting the optimal sub-sequence into a prediction neural network for prediction to obtain prediction results, and adding the prediction results to obtain a wind speed prediction result of super-capacity energy storage grid connection. According to the invention, the prediction precision can be improved, the model robustness is enhanced, the reasonable utilization of super-capacity energy storage is promoted, and the grid-connected stability is improved.

The invention discloses a magnetic suspension flywheel energy storage and super capacitor hybrid efficient energy management system, and relates to the field of magnetic suspension flywheel energy storage, the system is composed of a magnetic suspension flywheel energy storage device, a super capacitor energy storage device and an energy management module, and efficient cooperative work is realized through a dynamic power distribution strategy. The energy management module comprises a load demand detection unit, an energy storage state monitoring unit and a dynamic distribution control unit, the dynamic distribution control unit adopts a fuzzy control algorithm, and the charge-discharge proportion is adjusted in real time based on flywheel rotating speed deviation, super capacitor voltage deviation and load power fluctuation frequency. When the load power exceeds a threshold value, the super capacitor is preferentially called to respond to the instantaneous high power requirement, and the flywheel is switched to improve the efficiency when the low power is continuous. The system is also configured with an LSTM adaptive algorithm to dynamically optimize a threshold value, and safety and stability are guaranteed in combination with mechanisms such as active cooling, over-temperature protection and redundant backup.

The invention relates to a discrete sliding mode control method and device for a voltage outer ring of an energy storage converter and a medium, and the method comprises the following steps: obtaining related operation data of a super-capacitor energy storage system, and building a sampling data model of the super-capacitor energy storage system; designing a sliding mode surface function for a converter voltage outer loop control subsystem of the super-capacitor energy storage system; based on the sampling data model of the super-capacitor energy storage system, considering lumped disturbance of the system, and establishing a tight-format dynamic linearization data model of a converter voltage outer loop control subsystem; and based on the sliding mode surface function and the tight-format dynamic linearization data model, constructing a discrete sliding mode controller based on data driving, estimating lumped disturbance by adopting a delay estimation technology and compensating the lumped disturbance into the discrete sliding mode controller, and outputting a converter control voltage signal by the discrete sliding mode controller to realize a control process. Compared with the prior art, the method has the advantages of stabilizing the DC bus voltage, improving the transient characteristics of the system and the like.

The invention provides a firmware upgrading system and method supporting real-time state monitoring and resisting power failure, and relates to the technical field of industrial Internet of Things, the firmware upgrading system comprises a storage module, a power failure protection module and a processing module, the storage module comprises an on-chip FLASH memory and an off-chip NOR FLASH memory, the on-chip FLASH memory is used for being divided into a BOOT area, an APP area and an upgrading parameter storage area, and the processing module is used for processing the on-chip FLASH memory and the off-chip NOR FLASH memory. The off-chip NOR FLASH memory is used for dividing the off-chip NOR FLASH memory into a BANK1 region and a BANK2 region; according to the invention, a data redundancy guarantee is provided for firmware upgrading through a double-region backup mechanism of the storage module; the hardware power-off detection and super capacitor energy storage design of the power-off protection module avoids data loss and storage structure damage at the power-off moment from the hardware level; accurate data recording and recovery strategies of the processing module ensure accurate recovery and upgrading after power failure.

The invention discloses a thermal power generating unit coupling super capacitor energy storage frequency modulation instruction prediction method and system, and relates to the technical field of power system energy storage frequency modulation, and the method comprises the steps: obtaining an original frequency modulation sequence through a frequency modulation instruction of a thermal power generating unit, and dividing the original frequency modulation sequence into a training group, a proofreading group and a prediction group; training the training group through a BP neural network to generate a predicted value of the proofreading group; respectively calculating a difference error and a ratio error based on the actual value and the predicted value of the proofreading group to form a difference error sequence and a ratio error sequence; adjusting the frequency modulation instruction value of the prediction group to generate a difference error interval; adjusting the frequency modulation instruction value of the prediction group according to the ratio error sequence, and generating a ratio error interval; and combining the difference error interval with the ratio error interval to obtain an interval prediction value of the final frequency modulation instruction. The prediction precision of the frequency modulation instruction is obviously improved, and the uncertainty caused by single numerical prediction is avoided.

The invention discloses a dynamic multi-interval charging and discharging voltage threshold value adjusting method based on deep reinforcement learning by adopting a multi-train super-capacitor energy storage system aiming at the problem of traction network voltage safety and stability caused by high power and high energy of an urban rail transit multi-train energy storage system circuit model. According to a super-capacitor double-cascade control part of charge and discharge voltage thresholds, the charge and discharge voltage thresholds of a multi-train super-capacitor energy storage system (SC-ESSs) are dynamically adjusted according to intervals in real time by adopting a deep reinforcement learning (Soft Actor-Critic SAC) algorithm, and online strategy updating and sequential decision execution are further designed, so that the online strategy updating and sequential decision execution are realized. On-line strategy learning and optimization are carried out by combining'trial and error 'and'feedback' mechanisms of the agent, so that the training efficiency and optimization accuracy of the agent are improved, the energy-saving and voltage-stabilizing characteristics of the traction network are effectively improved, the charging and discharging current of the ground super capacitor can be stably controlled, the over-charging and over-discharging phenomena are prevented, and the service life of an energy storage element of the super capacitor is prolonged.

The present invention discloses a hybrid energy storage capacity optimization configuration method for smoothing wind power fluctuations, which belongs to the field of wind power generation technology, including: clustering wind power output data based on the K-means clustering algorithm to obtain a variety of wind power output scenarios; decomposing wind power output data based on the empirical mode decomposition method to obtain multi-order intrinsic mode functions, and reconstructing them into low-frequency components and high-frequency components, the low-frequency components are directly connected to the grid, and the high-frequency components are used as the power task of the hybrid supercapacitor energy storage system, and the hybrid supercapacitor energy storage system is defined as the target system; establishing a capacity configuration model for the target system, and constructing the optimization objective function and model constraint set of the capacity configuration model based on the cost input and constraint conditions of the target system; solving the capacity configuration model based on the genetic algorithm to obtain the initial optimization result, introducing a variable baseline and a fluctuation penalty coefficient, and performing further optimization. The present invention improves the efficiency of smoothing wind power fluctuations.

The invention relates to the technical field of thermoelectric and piezoelectric collaborative conversion and energy storage, in particular to a piezoelectric-thermoelectric composite energy acquisition and collection structure and a preparation method thereof, and the piezoelectric-thermoelectric composite energy acquisition and collection structure comprises a flexible substrate, a piezoelectric PVDF cantilever module, a Bi2Te3 thermoelectric column array module and a super capacitor energy storage and energy management module. The system drives the piezoelectric module to output pulse electric energy through mechanical vibration, and drives the thermoelectric module to output continuous direct current through environment temperature difference. Two paths of energy are uniformly input into the super capacitor for storage after being rectified and boosted, energy supply path switching and stable output are achieved through the energy management module, and the energy management module is suitable for a Bluetooth terminal, an MCU controller and wearable electronic equipment. The system is flexible in structure and high in integration level, has good electric energy regulation and control capability and environmental adaptability, and effectively improves the endurance and comfort of equipment.

The invention discloses a dual-function coupling device for synchronously enhancing photo-thermal evaporation water-salt separation and super capacitor performance. An upper electrode, a water conveying layer and a lower electrode are arranged above a water tank from top to bottom and are tightly attached to each other; the front extending section of the water conveying layer penetrates through a heat insulation layer arranged on the top of the water tank to make contact with seawater in the water tank, the rear extending section of the water conveying layer reaches a side salt precipitation layer arranged on the outer side of the water tank, the upper electrode serves as a photo-thermal / evaporation interface, seawater in the water conveying layer serves as electrolyte, and the water conveying layer serves as a diaphragm. The upper electrode, the water conveying layer and the lower electrode are tightly attached to form a supercapacitor structure, the device can synchronously perform solar photo-thermal evaporation water-salt separation and supercapacitor energy storage, and meanwhile, the device shows a synergistic enhancement effect when working; heat generated in the charging and discharging process of the supercapacitor can improve the evaporation rate to promote water-salt separation.

The invention is suitable for the technical field of electronic circuits, and provides a DC / DC and super capacitor cooperative control system of a station DC flexible intelligent bus coupler device, which comprises a bus coupler device, a DC bus, a bidirectional DC / DC converter and a super capacitor energy storage unit, the system is used for controlling the bidirectional DC / DC converter and the super capacitor energy storage unit to operate cooperatively so as to maintain the voltage stability of the DC bus. Monitoring the actual voltage value of the DC bus in real time; according to the deviation between the actual voltage value and the set value, the instantaneous output power proportion of the super capacitor energy storage unit and the steady-state output power proportion of the bidirectional DC / DC converter are dynamically adjusted; and when it is detected that the DC bus voltage deviation exceeds a preset threshold value, the super capacitor energy storage unit is preferentially controlled to carry out instantaneous power compensation, and the output power of the bidirectional DC / DC converter is adjusted to carry out steady-state power following. The problems of bus voltage transient instability, super capacitor over-discharge aging and low system operation efficiency are solved.

The invention relates to the technical field of new energy, in particular to a super-capacitor energy storage system, regulation and control equipment comprising the system and an energy regulation and control method of the super-capacitor energy storage system, and the system comprises a super-capacitor unit, a super-capacitor management system unit, a high-voltage box unit, a current conversion unit and an energy management system unit. The high-voltage box unit is respectively connected with the current conversion unit, the super capacitor management system unit and the super capacitor unit; the energy management system unit is respectively connected with the current conversion unit and the super capacitor management system unit; the super capacitor management system unit is provided with three levels of management units, the first-level super capacitor management unit is connected with the high-voltage box unit and the super capacitor unit, and the second-level super capacitor management unit is arranged in the high-voltage box unit. And the third-stage super capacitor management unit is respectively connected with the energy management system unit, the high-voltage box unit and the current conversion unit. The method can realize safe and efficient management of the energy of the super capacitor, and is suitable for popularization and application in the fields of energy storage and the like.

The present invention discloses a method and system for frequency modulation and grid connection of supercapacitor energy storage based on an operation-improved VMD, belonging to the technical field of wind speed prediction, and comprising the following steps: decomposing an original wind speed time series by using a variational mode decomposition method to obtain a plurality of subsequences; performing amplitude angle conversion on each subsequence to obtain an amplitude representation form of each subsequence; calculating independent values through independent operations on the amplitude representation forms of all subsequences; increasing the decomposition layer number of the variational mode decomposition, repeating the above steps, and recording the independent values obtained in each cycle; comparing to obtain the maximum independent value among all the independent values, and taking the subsequence corresponding to the maximum independent value as the optimal subsequence; inputting the optimal subsequence into a prediction neural network for prediction to obtain a prediction result, and adding the prediction results to obtain a wind speed prediction result for supercapacitor energy storage grid connection. The present invention can improve the prediction accuracy, enhance the model robustness, promote the rational utilization of supercapacitor energy storage, and improve the grid connection stability.

The invention discloses an electromagnetic transient equivalent modeling method of a semi-full hybrid MMC-SESS, and relates to the technical field of high-voltage flexible direct-current power transmission. The method comprises the following steps: obtaining a topological structure and a control strategy of the semi-full hybrid super capacitor energy storage type modular multilevel converter; according to the topology of the half-bridge sub-module and the full-bridge sub-module, basic electrical elements are determined, an equivalent model is established, and adjoint circuits of the half-bridge sub-module and the full-bridge sub-module are obtained; equivalent circuits of the half-bridge sub-modules and the full-bridge sub-modules are obtained through a nested fast solution method, and an equivalent model of the half-full hybrid super-capacitor energy storage type modular multilevel converter is obtained through series connection and superposition according to a half-full proportion; and performing simulation verification on the equivalent model. The method is simple and easy to implement, the number of the sub-modules and the voltage level can be expanded according to requirements, and compared with a detailed model, the simulation speed can be remarkably increased, the external and internal characteristics of the semi-full hybrid MMC-SESS can be accurately simulated, and system-level simulation analysis and control design of the semi-full hybrid MMC-SESS are supported.

1. Name of the product in this design: Energy Storage Unit (CTPS-020C). 2. Purpose of this design: Supercapacitor energy storage device for wireless power supply systems. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a three-phase grid-connected system based on hybrid energy storage complementation of a lithium battery and a super capacitor. Comprising a hybrid energy storage system unit, a control unit of a bidirectional energy storage circuit, a three-phase bridge-type grid-connected inverter and a control unit of the three-phase bridge-type grid-connected inverter, the hybrid energy storage system unit comprises a lithium battery energy storage unit and a super capacitor energy storage unit, and the lithium battery energy storage unit and the super capacitor energy storage unit are connected with the direct current bus through a bidirectional DC / DC converter; the control unit of the bidirectional energy storage circuit is used for obtaining reference power required to be provided by the lithium battery and the super capacitor through power distribution, taking a reference power signal as an input signal, and forming a control signal of a switching device through signal processing and conversion, so that the energy storage equipment is charged and discharged according to the reference power; the three-phase bridge-type grid-connected inverter and the control unit thereof are used for controlling the three-phase bridge-type inverter through PWM pulse signals. The stability and reliability of the power grid can be improved, and the operation cost of the power system is reduced.

The present invention relates to the technical field of supercapacitor energy storage, and specifically relates to a method for predicting frequency modulation commands of a sodium-ion supercapacitor energy storage system and related devices. First, obtain the non-linear sequence in the frequency modulation sequence data of the sodium-ion supercapacitor energy storage system; respectively compensate the frequency modulation command data in the non-linear sequence through a compensation coefficient group to obtain a compensated sequence, and the compensated sequence is a linear sequence; according to the compensated sequence, use the constructed prediction model to predict the frequency modulation command to obtain a corresponding prediction result, obtain a reduction coefficient group based on the compensation coefficient group, and use the reduction coefficients in the reduction coefficient group to correspondingly restore the frequency modulation data in the prediction result, and finally obtain the predicted frequency modulation sequence of the sodium-ion supercapacitor energy storage system. This method can improve the prediction accuracy of frequency modulation commands.

The invention discloses a gravity energy storage and concrete supercapacitor energy storage composite energy storage system, which relates to the technical field of energy storage and comprises a concrete composite energy storage medium unit, a mechanical transmission unit, a control unit and an energy conversion unit, the control unit cooperatively controls the energy conversion unit and the mechanical transmission unit to convert unsteady-state electric energy into mechanical potential energy of the concrete energy storage medium unit, and charges the concrete energy storage medium unit to convert the unsteady-state electric energy into electric potential energy. The control unit cooperatively releases gravitational potential energy of the concrete energy storage medium unit and the capacitor through feedback adjustment, and stable electric energy is formed through the energy conversion unit to be input into a power grid. According to the energy storage system, gravity energy storage and concrete capacitor energy storage are combined, the advantages of the gravity energy storage and the concrete capacitor energy storage are brought into full play, and the energy density, the power density and the energy conversion efficiency of the energy storage system are improved.

The invention discloses a preparation method of a nitrogen-sulfur co-doped lignin-based hierarchical porous carbon material and supercapacitor energy storage application, and belongs to the technical field of preparation methods and application of porous carbon materials, and the preparation method comprises the following steps: (1) dropwise adding an ammonium sulfate solution into sulfate pulping black liquor, and adjusting the pH value, after standing reaction, drying to obtain ammonium sulfate precipitated lignin; (2) uniformly mixing lignin with potassium tartrate and potassium nitrate, drying and grinding to obtain a mixture; and (3) pyrolyzing the mixture in an inert atmosphere, washing the carbonized product with dilute acid, filtering, and drying to obtain the porous carbon material. Potassium tartrate promotes formation of graded pores through the mild pore-forming effect, and the foaming effect of potassium nitrate can inhibit formation of coal tar and excessive carbon skeleton etching in the pyrolysis process. The supercapacitor electrode material prepared from the porous carbon has high specific capacitance, excellent cycling stability and high energy density.

This invention provides a firmware upgrade system and method that supports real-time status monitoring and is resistant to power outages, relating to the field of industrial Internet of Things (IoT) technology. It includes a storage module, a power outage protection module, and a processing module. The storage module comprises an on-chip FLASH memory and an off-chip NOR FLASH memory. The on-chip FLASH memory is divided into a BOOT area, an APP area, and an upgrade parameter storage area. The off-chip NOR FLASH memory is divided into BANK1 and BANK2 areas. This invention provides data redundancy for firmware upgrades through a dual-zone backup mechanism in the storage module. The hardware power outage detection and supercapacitor energy storage design of the power outage protection module prevent data loss and storage structure damage during power outages at the hardware level. The processing module's precise data recording and recovery strategy ensures accurate recovery and upgrade after a power outage.

The invention discloses a floating wind power fluctuation stabilizing system and method. The system comprises a wind power prediction module which predicts power based on an LSTM network and processes data by adopting a regression filling method; the model prediction control module is used for constructing a multi-objective optimization problem to coordinate grid-connected power smoothness, energy storage SOC maintenance and output minimization; the fluctuation decomposition module is used for decomposing power fluctuation into high-frequency and low-frequency components by using VMD; the hybrid energy storage module comprises flywheel energy storage and super-capacitor energy storage which are used for processing low-frequency and high-frequency components respectively; and the coordination controller dynamically distributes hybrid energy storage output. The floating wind power complex power fluctuation can be effectively coped with, the impact on a power grid is remarkably reduced, the multi-time scale out-of-limit times and the energy storage demand quantity are introduced to serve as evaluation indexes, a quantitative basis is provided for control strategy optimization and energy storage economic configuration, and the smooth effect, robustness and economical efficiency of the system are improved.