6606results about "Electrical storage system" patented technology

The invention provides a method for participating in primary frequency modulation control of a power system based on a modular large-scale hydrogen production power supply, and the method comprises the steps: obtaining an original data flow from a high-precision synchronous phasor measurement unit, an electrolytic cell and a submodule, and carrying out the multi-scale decomposition and noise reduction processing after time synchronization and anomaly detection restoration; performing state estimation by using unscented Kalman filtering, extracting frequency disturbance characteristics in combination with empirical mode decomposition and Hilbert transform, and estimating the inertia of the power grid; an electrolytic cell dynamic model is established, and parameter identification and optimization are carried out through a recursive least square method; a control strategy is designed based on a multi-time scale control framework, virtual synchronous generator parameters are optimized through online Gaussian process regression, and frequency modulation control is realized in combination with scene tree random model predictive control and minimum-maximum regret learning; and finally, carrying out coordination control through a distributed consistency algorithm and carrying out multi-target performance evaluation optimization. And the frequency modulation performance and the operation efficiency of the system are improved.

The invention discloses a hybrid energy storage system optimization scheduling method based on AI intelligent regulation and control, and relates to the technical field of hybrid energy storage, and the method comprises the following steps: collecting real-time data, and carrying out the cross verification of data consistency through a multi-source data fusion technology; and identifying data abnormity caused by sensor faults, communication delay and environmental interference by combining adaptive threshold detection with a statistical analysis method, and eliminating abnormal data. According to the method, energy storage scheduling is optimized through data cleaning, time sequence prediction and reinforcement learning, and the intelligent management and dynamic adaptive capacity is improved. Multi-source data fusion and anomaly detection are adopted to ensure data accuracy, energy consumption is predicted by means of LSTM and Transform, and an energy storage strategy is optimized in advance. By combining reinforcement learning and system dynamic adjustment charging and discharging, the photovoltaic consumption rate is improved, the electricity purchasing cost is reduced, the SOC is intelligently controlled to be 40%-80%, and the service life of the battery is prolonged. Meanwhile, the system stability is improved through anomaly detection and correction, and the maintenance cost is reduced.

The invention discloses a compressed air energy storage system operation state evaluation method based on principal component clustering analysis. The method comprises the steps that system operation data are collected and preprocessed; performing multi-time scale decomposition and feature extraction on the preprocessed data set; performing nonlinear time-varying adaptive principal component analysis on the multi-time scale feature set, and extracting main features of a system operation state; carrying out clustering analysis on the dimension reduction feature space by adopting a PCA-clustering iterative optimization mechanism; establishing an evaluation model of each functional area of the system based on thermodynamic constraints, and calculating performance index values of the functional areas in combination with the principal component transformation matrix and an operation mode clustering result; dynamically adjusting the weight of each evaluation index; and generating a CAES comprehensive operation state evaluation result. According to the method, the problems of poor PCA adaptability, difficulty in multi-time scale data fusion, low abnormal mode detection sensitivity and the like under the nonlinear time-varying characteristic of the CAES system are solved.

An optical storage system designed to compensate for the water hammer effect in hydropower turbines and its cooperative frequency modulation method are provided. The method involves detecting the water hammer effect and utilizing a pre-established system model integrating a hydropower unit, photovoltaic system, and hybrid energy storage system. Through model predictive control combined with a whale optimization algorithm, the governor parameters of the hydropower unit are optimized. The system then obtains the photovoltaic active power output and the battery's state of charge (SOC) within the hybrid energy storage system. Based on these parameters, a collaborative control strategy for the photovoltaic and hybrid energy storage systems is determined and executed. This strategy enables effective control of the photovoltaic system and / or hybrid energy storage to compensate for reverse power adjustments in the hydropower unit, addressing the water hammer effect and ensuring stable power grid operation.

The invention provides a steam extraction energy storage and fused salt heat storage method and system under power grid deep peak regulation, and relates to the technical field of power grids, and the method comprises the steps: determining a power grid deep peak regulation period according to power grid load prediction data and renewable energy power generation prediction data; steam extraction operation is conducted on the steam turbine based on model predictive control, and extracted steam is introduced into the multi-stage steam extraction energy storage device; the steam passing through the multi-stage steam extraction energy storage device is introduced into the heat exchanger and exchanges heat with the fused salt in the fused salt storage tank; in the power utilization peak period of the power grid, the multi-stage steam extraction energy storage device and the fused salt heat storage device are controlled to release heat energy; a steam extraction energy storage and fused salt heat storage collaborative optimization model is established, and the steam extraction amount, the energy storage and release time and the fused salt heat storage capacity are optimized and adjusted according to power grid load characteristics, renewable energy source output characteristics and system equipment parameters; and through the collaborative optimization model, multi-target balance of power grid deep peak regulation, renewable energy consumption and system economy is realized.

The invention provides a concrete prefabricated energy storage cabin which comprises a cabin body and a cabin door which are made of a concrete composite material, so that the energy storage cabin has high compressive strength and high fire resistance rating, and a plurality of energy storage cabins can also be transversely arranged without spacing or stacked in the height direction, so that the occupied area is effectively reduced; an energy storage box provided with a basin-shaped box body and a cover plate is arranged in the cabin body, the cover plate covers the basin-shaped box body to form a closed energy storage cavity for accommodating a battery module, and the basin-shaped box body and the cover plate are also made of a concrete composite material, so that high temperature generated by thermal runaway of a battery in a single energy storage box can be effectively limited in the energy storage box; as the oxygen content in the energy storage box is relatively low, the flame can be automatically extinguished after the battery with relatively light thermal runaway degree is on fire; and for a battery fire with a heavy thermal runaway degree, a long time can be provided for fire fighting and extinguishment, and flames can be extinguished in time in the energy storage box.

The embodiment of the utility model provides a container, an energy storage device, an energy storage system and a charging network. The energy storage device comprises a container, a control module and a heat management module. The number of the containers is m, m is larger than or equal to 2, and the m containers are arranged in the first direction of the containers. In the first direction, the size of the container is smaller than that of a standard container. The container comprises a container body and a plurality of single batteries, and the plurality of single batteries are accommodated in the container body. And the control module is arranged in the box body and is used for electrically controlling the plurality of single batteries in the m containers. And the heat management module is arranged in the box body and is used for managing the temperature of the plurality of single batteries of the m containers. According to the energy storage device provided by the embodiment of the invention, the convenience in the transportation process of the container is improved, the transportation cost of the container and the energy storage device using the container is reduced, the space in the container can be fully utilized, the integration degree is high, and the assembly efficiency is improved.

The invention belongs to the technical field of renewable energy hydrogen production, and particularly relates to a power distribution method and system for an ALK-PEM electrolytic cell hydrogen production system, and the method comprises the steps: obtaining the operation characteristics of an ALK electrolytic cell and a PEM electrolytic cell, and constructing an ALK-PEM electrolytic cell combined hydrogen production system; based on the starting and stopping characteristics of the electrolytic cell of the constructed ALK-PEM electrolytic cell combined hydrogen production system, considering the second-level starting and stopping characteristics of the PEM electrolytic cell, and determining the operation mode of the electrolytic cell of the hydrogen production system by adopting an electrolytic cell array double-layer rotation operation mode; according to the determined operation mode of the electrolytic cell, an optimal power distribution model considering starting and stopping of the electrolytic cell is constructed by taking the maximum net income of the hydrogen production system of the mixed electrolytic cell as a target; the constructed optimal power distribution model is solved, and power distribution of the ALK-PEM electrolytic cell hydrogen production system is completed.

The invention relates to the technical field of energy storage management, in particular to a high-energy-density liquid cooling energy storage system based on thermal management optimization, which comprises a thermal response calculation module, a thermal risk area identification module, a cooling resource allocation module, a thermal decoupling state judgment module and a charging and discharging power limiting module. According to the method, the inlet temperature, the outlet temperature and the cooling liquid flow speed of the high-energy-density energy storage equipment are obtained, the unit thermal load conversion rate is calculated, the unit thermal response deviation degree is determined, the thermal risk area higher than the standard limit is clearly recognized in the energy storage equipment, the corresponding liquid cooling channel is accurately selected, and the cooling liquid pulse flow frequency is optimized; the pertinence and timeliness of the cooling liquid in actual use are effectively improved, the local overheating hidden danger is avoided, the lag response is marked in time by monitoring the cooling liquid pressure difference and the temperature rise change in real time, the decoupling state between the cooling liquid and the thermal load is judged, the charge and discharge power dynamic reduction measure is implemented, and the trend of abnormal and continuous accumulation of the local thermal load is restrained.

The invention relates to the technical field of converters, in particular to a multi-module converter resonance suppression method and system for a mobile energy storage system. The dynamic response of the system is optimized through the controller, it can be ensured that the system can keep good stability and performance under different operation conditions, the robustness of the multi-module converter system under different working conditions can be improved through mathematical modeling and accurate design of a control algorithm, and the real-time monitoring and frequency recognition mechanism is adopted, so that the reliability of the multi-module converter system is improved. A control strategy can be adjusted according to frequency characteristics of resonance, active intervention can be performed on the resonance phenomenon of the system by adjusting the on-off state of the converter in real time and a control algorithm, the system can automatically adapt according to different loads, environment conditions and equipment states by adjusting control parameters in real time, long-term stable operation is ensured, and the system is safe and reliable. By actively suppressing resonance and reducing excessive oscillation of the system, energy waste and equipment loss caused by resonance can be significantly reduced.

The invention relates to the technical field of anti-electromagnetic interference, in particular to an anti-electromagnetic interference method for a flywheel energy storage system of a data center, which comprises the following steps: acquiring change rate data of the rotating speed and the angular speed of a flywheel, judging the attribution of a disturbance interval, recording change characteristics, extracting an interference identifier, comparing the interference identifier with impedance change, and generating a switching node. Frequency response and reflection coefficient characteristics of the filtering unit are detected, a coupling channel generation label is identified, and output fluctuation is evaluated to generate an anti-interference capability state label. According to the method, the surface resistivity of the shielding layer is dynamically switched according to the comparison result of the specific interference triggering identification bit and the signal link impedance change state in each disturbance stage through classification judgment and correlation marking of inertial disturbance, so that the effect of suppressing electromagnetic interference in real time is optimized; the influence degree of electromagnetic interference can be dynamically evaluated in the system operation process, and the adaptability of the energy storage system to the electromagnetic interference is judged and adjusted in real time.

The invention provides an elevator energy recovery application method and system based on a super capacitor, and relates to the technical field of energy recovery, and the method comprises the steps: collecting elevator operation data and super capacitor state data, constructing a state space and an action space, and constructing a reward function according to peak-valley electricity price economic benefits, super capacitor life loss and energy utilization efficiency; training a deep reinforcement learning model based on the double-Q network to obtain an energy recovery optimization strategy; when the elevator is braked, regenerative braking energy is stored in the super capacitor; when the elevator is driven, the stored energy is released for traction; the optimal storage allocation scheme of the multiple elevator rooms is calculated through the virtual energy storage unit, hierarchical control is implemented based on an optimization strategy and the allocation scheme, the upper layer adopts fuzzy self-adaptive weight to determine the energy storage priority, and the lower layer adopts a distributed algorithm to calculate the energy allocation coefficient and the target power; and the charge-discharge rate is updated according to the health state of the supercapacitor.

The present invention relates to the technical field of electrical energy storage. Disclosed are a power control method and system for a flywheel-lithium ion battery hybrid energy storage system, used for improving power distribution and control accuracy of the flywheel-lithium ion battery hybrid energy storage system. The method comprises: performing lithium ion battery state-of-charge analysis on the flywheel-lithium ion battery hybrid energy storage system to obtain first state-of-charge data, and performing flywheel system state-of-charge analysis on the flywheel-lithium ion battery hybrid energy storage system to obtain second state-of-charge data; performing frequency change rate analysis on the flywheel-lithium ion battery hybrid energy storage system to obtain frequency change rate data of the flywheel-lithium ion battery hybrid energy storage system; inputting the first state-of-charge data, the second state-of-charge data and the frequency change rate data into a fuzzy controller for power proportion analysis, and outputting a power proportion of the flywheel system; and performing power distribution on the flywheel-lithium ion battery hybrid energy storage system on the basis of the power proportion of the flywheel system to obtain a power distribution data set.

The invention relates to the technical field of new energy power systems, and discloses an energy storage coordination system and control method based on meteorological prediction and multi-energy complementation, and the system comprises a power generation end module which carries out the dynamic adjustment according to a power adjustment instruction of a power generation end; the meteorological prediction and data acquisition module is used for acquiring meteorological data in a future time period in real time and sending the meteorological data to the intelligent control and scheduling platform; the energy storage end module sends data including lithium battery SOC and hydrogen storage tank pressure to the intelligent control and scheduling platform and performs charging and discharging according to an energy storage end charging and discharging priority strategy; and the intelligent control and scheduling platform receives the electricity price data of the weather prediction and data acquisition module, the energy storage end module and the power grid in real time, generates a power generation end power regulation instruction and an energy storage end charging and discharging priority strategy, and meanwhile, improves the income and maximizes the hydrogen energy use proportion through electricity price peak-valley arbitrage and green electricity transaction premium. The power grid stability and the energy utilization rate are greatly improved, the energy storage life is prolonged, and the investment payback period is shortened.

The invention discloses a carbon capture and energy storage and thermal power generation coupled energy comprehensive utilization system, which comprises a thermal power generation system, an energy storage system and a carbon capture system, and is characterized in that a compression energy storage unit of the energy storage system is coupled to a feed water heat regeneration unit of the thermal power generation system; an expansion energy release unit of the energy storage system is coupled to a steam turbine generator set of the thermal power generation system, and a steam-water cycle working medium in the thermal power generation system serves as a heat storage and cold storage medium of the carbon dioxide energy storage system. The carbon capture system is coupled between the thermal power generation system and the carbon dioxide energy storage system, captures carbon dioxide gas in the flue gas, inputs the carbon dioxide gas into the carbon dioxide energy storage system to serve as a circulating working medium, and heats the circulating working medium in the expansion energy release unit through waste heat of the flue gas. According to the scheme, the operation efficiency of the thermal power generation system and the operation efficiency of the carbon dioxide energy storage system can be improved, the overall energy utilization efficiency of the system can be improved, and meanwhile the emission amount of gas pollutants is reduced.

The invention relates to the technical field of data center energy management, and discloses a flywheel energy storage system control system for data center computing power load energy recovery, which comprises an energy storage unit, a load monitoring unit, a flywheel control unit and an energy distribution unit. The energy storage unit is provided with a plurality of groups of flywheel energy storage devices capable of charging / discharging; the load monitoring unit monitors load data by covering key nodes of computing power equipment through a power sensor; the flywheel control unit collects flywheel rotating speed and power grid frequency fluctuation data; and the energy distribution unit decides charging and discharging based on load data, establishes a load and frequency coordinated alternating control strategy, and dynamically adjusts and predicts the running state of the flywheel. The system adopts time sequence synchronous control, the energy distribution unit comprises multiple modules, the alternate controller supports dual-mode switching and parameter optimization, and the flywheel unit adopts an annular redundancy or star-shaped concentrated structure. The system realizes efficient recovery of computing power load energy and flywheel energy storage optimization scheduling, and improves the energy utilization rate of a data center and the stability of a power grid.

The invention provides an electricity-hydrogen coupling intelligent regulation and control method and system considering a wind-solar prediction error, and relates to the technical field of electric power, and the method comprises the steps: collecting wind-solar historical power generation data, and obtaining prediction error probability distribution based on adaptive combination kernel density estimation; the distribution serves as an uncertainty constraint, a dual neural network is adopted to execute deep reinforcement learning, an action value network dynamically adjusts a decision space, and a target network evaluates risks and restrains decisions based on conditional risks and state values; a distributed collaborative network is constructed, and hydrogen production power and hydrogen desorption power are controlled in real time based on a dynamic consistency theory and a synchronous potential function. The operation stability and economical efficiency of the electricity-hydrogen coupling system are improved, and the uncertainty of wind and light power generation is effectively dealt with.

The invention relates to the technical field of energy, and discloses a distributed electric power energy storage system and method, and the system comprises a decommissioned battery sorting and modularization module which is used for carrying out the performance evaluation, grading and standardized modularization processing of decommissioned power batteries; the energy storage unit module is used for assembling the retired batteries into an energy storage unit and storing and releasing electric energy; the energy management module is used for monitoring the running state of the energy storage unit and optimizing energy distribution; the communication network module is used for carrying out data transmission and cooperative control between the modules; and the power grid and user interface module is used for interacting the energy storage system with a power grid and a user side. According to the method, the energy scheduling unit can optimize the charging and discharging strategy of the energy storage unit in real time by combining reinforcement learning and federated learning algorithms, and meanwhile, the adaptability of a scheduling model in multiple scenes is improved by utilizing cooperative training of distributed nodes.

The invention provides a gravity energy storage device with a function of uninterruptible loading and unloading of weight blocks, the gravity energy storage device comprises a transportation module and a loading and unloading module, the transportation module comprises a rotating wheel part, a chain part and a bearing mechanism, the bearing mechanism is arranged on the chain part, the rotating wheel part is arranged at the end part of the transportation module, and the chain part moves around the rotating wheel part; the loading and unloading module comprises a conveying channel, a supporting mechanism and a weight block body, the supporting mechanism is arranged on the conveying channel, the weight block body is arranged on the supporting mechanism through driving of the conveying channel, and the supporting mechanism and the bearing mechanism can be coupled or decoupled to drive the weight block body to be separated from or connected with the supporting mechanism. According to the gravity energy storage device with the function of uninterruptible loading and unloading of the weight block, stable and continuous electric energy can be generated during power generation and energy storage under the condition that the device is uninterruptible when the weight block body is loaded and unloaded and the transportation module generates power, and under the condition that equipment does not need to be added, the power generation power and the operation efficiency are improved, and the cost is reduced.

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 an available energy estimation method and system for a prefabricated cabin type energy storage system, and belongs to the field of energy storage systems.The method comprises the steps that probability distribution of environmental parameters is constructed; historical operation data of equipment is collected, a probability relation between the environment temperature and equipment energy consumption is established, and an equipment energy consumption confidence interval is generated according to the probability relation; determining a confidence interval of the SOH by combining the battery aging experiment data and the real-time monitoring error; inputting the probability distribution of the environmental parameters, the equipment energy consumption confidence interval and the battery health state confidence interval into a probability model to generate a probability interval of available energy; and the optimal confidence level is selected in combination with the power grid dispatching requirement and the risk tolerance, and the available energy of the prefabricated cabin type energy storage system is obtained on the basis of the optimal confidence level according to the probability interval of the available energy. According to the method, confidence analysis is introduced, environmental parameters, equipment energy consumption and uncertainty of battery attenuation are quantified through a probability model, a probability interval of available energy is generated, and a basis is provided for scheduling decision making.

The invention provides a reconfigurable energy storage system for online dynamic replacement of a fault battery and a control method. Firstly, a multi-level reconfigurable battery array framework is constructed, each battery module is integrated with an independent three-port power switch unit and a wireless communication node, and self-management and quick response of the battery modules can be achieved. The bottom layer battery cluster adopts MOSFET matrix topology, and the FPGA controls PWM signals to dynamically adjust the series-parallel connection structure of the batteries. And the central controller calculates an optimal connection pair in real time based on the power demand, and controls the contactor to establish a new path. When multiple modules fail, the system automatically activates three-layer collaborative reconstruction, the faulty module is switched to a bypass through a three-port switch, and a central controller periodically refreshes a charging and discharging plan according to a system state, so that the cycle efficiency of the system is improved, and the service life attenuation rate of a battery array is reduced. According to the invention, online dynamic replacement of the faulty battery is realized, the operation stability and efficiency of the system are improved, and the maintenance cost and downtime are effectively reduced.

The invention relates to the technical field of integrated energy micro-grid scheduling optimization, and discloses an improved TD3 algorithm-based electricity-hydrogen-heat integrated energy micro-grid optimization scheduling method, which aims at minimizing the sum of the environmental cost, the equipment life loss cost and the large power grid interaction cost, and uses the improved TD3 algorithm to optimize the power-hydrogen-heat integrated energy micro-grid scheduling optimization. The optimization scheduling strategy of the electricity-hydrogen-heat comprehensive energy microgrid system is researched, a hydrogen energy storage mathematical model is constructed, the electrothermal coupling characteristic between the hydrogen energy storage system and the microgrid is explored, the optimization scheduling process of the microgrid is converted into a Markov decision process, and an experience playback mechanism is introduced to improve the algorithm performance. According to the method, the environmental friendliness and the scheduling strategy solving speed of the micro-grid energy storage system are improved, and the solving speed of the optimal scheduling strategy is accelerated by using the improved priority experience playback reinforcement learning algorithm.

The invention is suitable for the technical field of resource scheduling management, and provides an optimal scheduling management method and system for multi-type energy storage resources and related equipment, and the method comprises the steps: obtaining the operation state data of a power grid, the power generation data of renewable energy sources, and the state data of each type of energy storage resources; analyzing power grid stability, renewable energy consumption and economic cost benefits according to the power grid operation state data, the renewable energy power generation data and the state data of various types of energy storage resources; constructing a comprehensive evaluation model, and inputting the analysis results of the power grid stability, the renewable energy consumption and the economic cost benefit into the comprehensive evaluation model to obtain the scheduling priority of each type of energy storage resources; and the optimal scheduling scheme of the energy storage resources is adjusted based on the scheduling priorities of the various types of energy storage resources, so that the scheduling based on the various types of energy storage resources is more comprehensive and accurate.

The invention belongs to the technical field of energy storage, and particularly relates to a vertical circulation type gravity energy storage system based on a linear motor, the vertical circulation type gravity energy storage system comprises a circulation shaft, a carrying platform system and an energy storage system, the circulation shaft comprises a heavy object shaft, a no-load shaft and a horizontal channel, and a secondary switching disc is arranged at the joint of the heavy object shaft and the horizontal channel and the joint of the no-load shaft and the horizontal channel; the heavy well, the no-load well, the horizontal channel and the secondary switching disc are each provided with a secondary driving side, and each secondary driving side comprises a first rail set and a linear motor secondary; the platform deck system comprises a plurality of platform decks, the platform decks are used for bearing heavy objects, primary switching discs are arranged on the side faces of the platform decks, primary driving sides are arranged on the platform decks and the primary switching discs, and each primary driving side comprises a second track set and a linear motor primary; the energy storage system includes an upper storage bin, a lower storage bin, and a loading and unloading zone. The energy storage capacity expansion mode is simple, the expansion cost is low, the energy storage capacity configuration is flexible, and the energy storage efficiency is high.

The invention discloses an AC access flywheel UPS control method for stabilizing a dynamic load in a data center, and relates to the field of power supply management, and the method comprises the following steps: S1, predicting and analyzing the load fluctuation of the data center, collecting the operation data of a flywheel through a sensor, and carrying out the monitoring and modeling of the state of a flywheel UPS; according to the method, data fitting and pattern recognition can be more efficiently carried out, the training process needing a large amount of time and computing resources in a traditional method is reduced, the system response time is shortened, excessive dependence on a preset model and a static rule is avoided, more flexible strategy selection is effectively provided, and the capacity of the system for coping with changes is improved; the flywheel UPS system can quickly respond to load change, enhance the robustness and stability of the system, avoid overload and low-efficiency operation of single equipment, efficiently evaluate the state and performance of the flywheel UPS system, avoid excessive consumption or waste of energy, improve the energy utilization rate, prolong the service life of the equipment and reduce the maintenance cost.

The invention provides a network following type and network constructing type energy storage combined planning method and device, and belongs to the field of power system planning. The method comprises the following steps: in a to-be-planned grid following type energy storage and grid construction type energy storage power system, carrying out joint modeling on a grid following type converter, a grid construction type converter and a fed alternating current power grid, so as to obtain a closed loop transfer function of the power system; based on the closed-loop transfer function, constructing a small-interference stability security domain oriented to energy storage joint planning; and converting the small-interference stability security domain into a small-interference stability security constraint, and further establishing a multi-type energy storage joint planning model to obtain a joint planning scheme of following network type energy storage and constructing network type energy storage. According to the method, the influence of the operation condition of the converter on small interference stability can be considered, power system optimization targets such as new energy consumption and the like are considered, and combined optimization configuration of network following type and network construction type energy storage is realized.

The invention discloses a zone area energy storage operation dynamic early warning control method and system, and relates to the technical field of anomaly detection, and the method comprises the following steps: obtaining operation data of an energy storage system, constructing a data trend offset vector, and extracting trend offset features; dynamically matching the trend offset features with a perturbation anomaly feature database pre-constructed based on historical data, and outputting a preliminary anomaly early warning signal; performing disturbance analysis by acquiring synchronous phasor measurement data, identifying disturbance response characteristics, and correcting the preliminary abnormal early warning signal in combination with trend similarity; extracting a target abnormal feature corresponding to the corrected abnormal early warning signal, and outputting an early warning credibility score in combination with a preliminary abnormal early warning signal correction result; according to the invention, the dynamic sensing of the operation state of the energy storage system and the reliability evaluation of the abnormal early warning are realized, the early warning accuracy and the system response capability are effectively improved, and the problems of recognition lag and high false alarm rate are solved.

The embodiment of the invention discloses a battery equalization management method and device based on port multiplexing. The method comprises the following steps: calculating a state-of-charge value of each single battery according to a sampling value of an electrical basic physical quantity; calculating a difference value between the state-of-charge value of each single battery and an average state-of-charge value of the battery pack to which the single battery belongs; determining the single batteries of which the difference values exceed a preset equalization threshold value as unbalanced batteries; and formulating an equalization sequence of the unbalanced batteries, and conducting the selection switch and the multiplexing switch according to the equalization sequence, so that the unbalanced batteries are connected with a primary side port of the multi-port converter for energy adjustment. According to the embodiment of the invention, the hardware complexity and the system cost are reduced by greatly reducing the usage amount of switch components. Meanwhile, the framework also improves the equalization efficiency and flexibility of the retired battery pack.

The invention discloses a fan control method, an inverter and an energy storage system. The control method is used for the inverter, operation data of the inverter in different environments and when the inverter operates in multiple working modes are obtained, the operation data comprise temperature data, voltage data, power data and current data, and the temperature data are temperature data of multiple temperature detection points; respectively solving correlation coefficients of the temperature of the inverter and the external environment temperature, voltage and power of the inverter according to the operation data and a fitting algorithm; solving a target coefficient of the correlation coefficient and the rotating speed duty ratio of the fan according to the operation data; constructing a rotating speed duty ratio control equation about the fan according to the target coefficient; the target rotating speed of the fan is solved according to the rotating speed duty ratio control equation and the current operation data of the highest rotating speed inverter of the fan; controlling the fan to work according to the target rotating speed. Thus, intelligent control over the fan can be achieved under different working conditions, and energy waste is avoided while normal operation of the inverter is guaranteed.