3978results about "Electrical storage system" patented technology

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 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 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 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 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 invention relates to the technical field of comprehensive application of renewable energy sources and hydrogen energy, in particular to a wind-solar-hydrogen multi-energy complementary intelligent scheduling platform. According to the technical scheme, the wind-light-hydrogen multi-energy complementary intelligent scheduling platform comprises a wind-light power generation unit which monitors wind power and photovoltaic power fluctuation in real time; the hybrid energy storage unit comprises a super capacitor and a flywheel for energy storage and respectively responds to millisecond-level and second-level power fluctuations; the hydrogen energy subsystem comprises an electrolytic hydrogen production device, a hydrogen storage tank and a fuel cell and responds to minute-level power scheduling; and the multi-time scale controller is configured to execute millisecond-level, second-level and minute-level cooperative control and dynamically match the wind-light fluctuation and the hydrogen energy response speed. According to the method, through multi-time scale dynamic cooperative control, the matching problem between the wind-solar power generation volatility and the hydrogen energy response lag is effectively solved, and seamless connection between second-level high-frequency fluctuation suppression and minute-level energy scheduling is achieved.

The invention relates to a regional power distribution network multi-time scale cooperative control method based on heterogeneous resource coupling, and the method comprises the steps: constructing a cloud-edge-end hierarchical autonomous operation framework which comprises a cloud layer, an edge layer and a terminal layer, the edge layer is used for rolling correction of a day-ahead scheduling plan and generation of a control instruction, and the terminal layer is used for real-time response control; and based on a source-network-load-storage interaction model, executing a multi-time scale collaborative optimization strategy in a cloud-edge-end hierarchical autonomous operation framework, and correspondingly controlling the working state of each device in the regional power distribution network. Compared with the prior art, the method can achieve the dynamic optimization matching of distributed energy, flexible load and energy storage, improves the flexibility and intelligent level of a regional power distribution network, improves the consumption rate of renewable energy sources, reduces the operation cost, and guarantees the power supply reliability and electric energy quality.

The invention discloses a hydrogen cooling superconductive flywheel composite energy storage system, which relates to the technical field of new energy storage and comprises a superconductive flywheel energy storage module, a lithium battery energy storage module, a power conversion module, an intelligent control module, a cooling sub-module and a hydrogen energy recovery module, by combining the quick response characteristic of the superconducting flywheel and the high energy density of the lithium battery, the superconducting flywheel can realize quick energy storage and release by utilizing the friction-free characteristic of the superconducting flywheel, a cooling sub-module and a hydrogen energy recovery module are used, the cooling requirement of the superconducting flywheel is ensured, and meanwhile, energy recovery can be carried out; by utilizing the characteristic of high energy density of the hydrogen battery, the energy storage capacity of the composite energy storage system is further improved, and the limitation of a single energy storage technology on power density and energy density can be effectively solved through the hybrid energy storage system; and more reliable and efficient energy storage support is provided for the fields of power grid peak regulation, renewable energy source grid connection, electric automobiles and the like.

The embodiment of the invention provides a flywheel energy storage system energy management method and system, electronic equipment and a storage medium. The method comprises the following steps: acquiring flywheel data, power grid data and maximum allowable charging and discharging power in real time; constructing a multi-objective optimization function according to the flywheel data, the power grid data and the maximum allowable charging and discharging power of the flywheel; and dynamically adjusting a weight coefficient of the multi-objective optimization function according to a power grid response effect, and generating an optimal flywheel charging and discharging power instruction in real time by adopting a model prediction control algorithm. According to the embodiment of the invention, through the model prediction control algorithm, the real-time flywheel state and the power grid demand data are combined, the charging and discharging power instruction is dynamically optimized, the charging and discharging switching loss is reduced, and the comprehensive efficiency of the system is improved; flywheel mechanical stress constraint is carried out in real time, flywheel fatigue damage is reduced, and the service life of the flywheel is prolonged; by adding the power grid frequency deviation and the load tracking penalty term, the frequency modulation demand of the power grid can be quickly responded.

The invention discloses a fuel cell coupled flow battery energy supply system and an operation control method thereof. The energy supply system comprises a basic energy supply unit, an energy storage peak regulation unit, a renewable energy power generation unit, an electrolytic hydrogen production unit, a hydrogen storage unit, a first-stage waste heat recycling unit, a second-stage waste heat recycling unit and a heat storage unit. The basic energy supply unit is used for providing a basic power load of the target building group; the energy storage peak regulation unit is used for providing fluctuation power load of the target building group; the first-stage waste heat recycling unit receives first-stage waste heat generated by power generation of the fuel cell and is used for indoor heating or indoor refrigeration. And the second-stage waste heat recycling unit directly receives the first-stage waste heat or second-stage waste heat from the first-stage waste heat recycling unit and is used for preheating the electrolyzed water and / or the hydrogen storage unit. By arranging the first-stage waste heat recycling unit and the second-stage waste heat recycling unit, waste heat is utilized in a multi-stage mode according to requirements, and the waste heat utilization rate is high.

The invention relates to the technical field of compressed carbon dioxide energy storage, and discloses a liquid compressed carbon dioxide energy storage system and method. The system comprises a carbon dioxide circulation system, and the circulation system comprises a first liquid storage tank (1), a first evaporation unit (100), an energy storage unit (200), a second liquid storage tank (6), a second evaporation unit (300), an energy release unit (400) and a condensation unit (500) which are communicated in sequence. According to the system provided by the invention, a liquid compressed carbon dioxide circulating system is deeply coupled with waste heat and waste cold in an ethylene process, so that the problems of a gasification heat source of liquid carbon dioxide on a high-pressure side and a liquefaction cold source of gaseous carbon dioxide on a low-pressure side of a pressure storage system are solved; the bottleneck constraint of heat energy utilization of the conventional adiabatic compression carbon dioxide energy storage system is broken through; elastic distribution of compression heat between industrial steam production and carbon dioxide overheating can be achieved.

The invention relates to the technical field of new energy storage regulation and control, and discloses an electricity-hydrogen coupling energy storage system and method for a new energy field station. The system comprises a feature analysis unit, a topology construction unit, a regulation and control domain positioning unit and a decision optimization unit. The feature analysis unit receives operation condition information of the new energy station, and generates a condition feature vector according to real-time load fluctuation, a historical output curve and an equipment operation database by using a deep feature extraction network; the topology construction unit constructs an energy topological graph for distributed energy storage equipment and hydrogen production equipment in the electricity-hydrogen coupling system, dynamically updates a graph structure and a node state based on a real-time monitoring mechanism, and deploys the graph structure and the node state in a heterogeneous computing framework; a regulation and control domain positioning unit positions a matched regulation and control domain in a dynamic representation learning mode according to the working condition feature vector; and the decision optimization unit utilizes a multi-source decision fusion algorithm to screen regulation and control instructions in a regulation and control domain and generate a scheduling sequence, so that the adaptability and the operation efficiency of the system to working conditions are improved.

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

The invention discloses a distributed energy storage stability adjusting method, and relates to the technical field of stability adjustment, and the method comprises the following steps: obtaining distributed energy storage multi-source disturbance data, constructing a disturbance signal time-frequency characteristic matrix, and extracting a disturbance type index; collecting first data of the energy storage unit, evaluating the physical suitability based on the disturbance type index, and generating an adaptation list containing the respondable unit identifier; calling a pre-stored response template according to the adaptive list, and generating a control instruction set; issuing a control instruction to the target energy storage unit, executing a control action and synchronously acquiring second data; and performing correlation analysis on the second data and the disturbance type index, updating the disturbance-control effect mapping matrix, and optimizing a calling priority strategy of the response template through reinforcement learning. According to the method, the dynamic adaptation list is generated, so that each energy storage unit executes the optimal adjustment strategy in the physical boundary of the energy storage unit, and the response precision to different types of disturbances and the system stability recovery speed are effectively improved.

The invention relates to the technical field of micro-grid energy optimization, in particular to a distributed federal reinforcement learning-based hydrogen-containing micro-grid energy scheduling method, which comprises the steps of constructing a multi-region hydrogen-containing micro-grid system model, designing a state space, an action space and a reward function of an intelligent agent, constructing an Actor-Critic network and an experience pool, and completing environment initialization. The intelligent agent inputs the operation state of the equipment into the Actor network, updates the state of the equipment according to the output action, verifies the constraint and outputs a reward value; tuples are extracted from the experience pool to update local network parameters, and the exploration rate is updated regularly; when a federation interaction period is reached, exchanging Critic network parameters and updating federation parameters; and when the training round arrives, outputting an equipment operation plan, deploying the model to the local hydrogen-containing micro-grid in the island mode, and outputting an equipment output value. According to the scheme, strategy sharing and learning collaboration are realized through neighborhood collaboration and local communication among the regional intelligent agents, so that dependence on a central node is avoided.

The invention belongs to the technical field of emergency power supply of power supply vehicles, and particularly discloses and provides an emergency power supply system of a large mobile storage and charging power supply vehicle, which comprises a vehicle-mounted energy storage unit, a power conversion unit, a PWM (Pulse Width Modulation) signal generation unit, a load monitoring unit and a control unit. The control unit determines a grid-connected mode or an off-grid mode by collecting the on-off state of a power grid and the total power of a load and calculating the power change rate. During grid connection, a voltage instantaneous value is monitored, and a power supply process is executed after locking cooperative control is triggered. Load impact components are identified and verified in the off-grid process, loads are cut off in a graded mode and cyclic verification is conducted if the load impact components do not pass or power exceeds the limit, and after the load impact components pass, time sequence graded loading control is executed according to the adjustment stage number determined by the load type and the proportion. According to the invention, flexible selection between grid connection and grid disconnection can be realized according to actual working conditions, the condition of single power supply mode is changed, the adaptive capacity to different scenes is improved, the real uninterruptible power supply requirement is met, and the impact load is precisely controlled.

The invention relates to the technical field of energy storage equipment monitoring, and discloses an energy storage equipment operation state real-time early warning and supervision method based on an LSTM hybrid model. The method comprises the following steps: firstly, collecting current fluctuation time sequence data, a voltage deviation distribution curve and a temperature gradient evolution graph of the energy storage equipment, and generating a multi-source operation parameter set; constructing a long-short-term memory network dominant capacity attenuation prediction model based on the current fluctuation time sequence data, and constructing a time sequence convolution assisted voltage anomaly identification model based on the voltage deviation distribution curve; then monitoring the capacity attenuation trajectory and internal impedance fluctuation data of the equipment in real time, and dynamically activating the target model to generate a risk early warning instruction; and finally, inputting an early warning instruction into the regulation and control unit, and adjusting a charging and discharging strategy or starting a protection mechanism in real time. According to the method, through multi-source parameter fusion and dynamic model activation, comprehensive and accurate monitoring and quick response of the operation state of the energy storage equipment are realized, and the safety and stability of equipment operation are improved.

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

The invention discloses an energy efficiency improving method and device for a slope type gravity energy storage system, and relates to the technical field of electric energy storage systems. The method and device for improving the energy efficiency of the slope type gravity energy storage system comprise the following steps that S1, energy storage operation data are obtained through multi-source sensor fusion, and data cleaning and normalization processing are conducted on the energy storage operation data; s2, extracting a multi-dimensional state factor, carrying out quantitative evaluation on the operation state of the energy storage unit, constructing a state grading mechanism based on an evaluation result, and generating an operation state label; s3, calling a running state label to screen candidate units, constructing a scheduling priority ranking index, and dynamically allocating tasks and adjusting an execution sequence according to the index; and S4, analyzing structural wear and energy consumption load characteristics, establishing a scheduling correction mechanism, and dynamically adjusting a scheduling priority ranking index. The problem that the scheduling self-adaption cannot be realized according to the load, loss and wear difference of each unit in the parallel operation process of a plurality of energy storage units is solved.

The invention discloses an intelligent optimization scheduling method and system for a compressed air energy storage network, and relates to the technical field of power grids, and the method comprises the steps: S1, building a distributed collaborative architecture for a power grid; s2, collecting self-defined related data, and predicting by using the prediction model; s3, based on the prediction result, constructing an optimal scheduling model; s4, carrying out distributed collaborative optimization solution; and S5, carrying out rolling optimization until the scheduling period is finished. The invention aims to overcome the defects of the prior art, realize the deep collaborative optimization operation of the compressed air energy storage system and the power grid to give full play to the advantages of the compressed air energy storage system, improve the capability of the power grid to deal with new energy access, and ensure the safe, stable and economic operation of the power grid.

The invention discloses an impedance remodeling method for suppressing harmonic oscillation based on a superconducting magnetic energy storage system, and belongs to the technical field of power generation, power transformation or power distribution. The method comprises the following steps: analyzing theoretical characteristics of the superconducting magnetic energy storage system, analyzing mathematical models and working characteristics of an SMES and a storage battery, and carrying out theoretical modeling on the hybrid energy storage system; the method comprises the following steps: performing small signal modeling on a grid-connected converter control system under voltage control type virtual synchronous control, and establishing a grid-connected converter small signal sequence impedance model; a sequence impedance remodeling model is introduced, the influence of the sequence impedance remodeling model on the low-frequency impedance of the virtual synchronous control system is revealed, in order to obtain the optimal sequence impedance of the grid-connected converter, real-time and accurate power grid impedance information is obtained by injecting a multi-harmonic disturbance signal into the grid-connected inverter, and a traditional impedance remodeling strategy is dynamically adjusted according to the information. It is ensured that the system still has good stability margin when the power grid impedance fluctuates in a wide range, and the adaptability of the grid-connected inverter under different power grid working conditions is improved.

The invention discloses a distributed photovoltaic power distribution network shared energy storage optimization method, and relates to the technical field of energy storage system optimization, and the method comprises the following steps: inputting the current electricity price of an electricity market into a preset electricity price prediction model, and obtaining a current rolling cycle electricity price prediction sequence, constructing a rolling optimization model based on the current rolling cycle electricity price prediction sequence, the energy storage system battery real-time charge state and the energy storage system operation constraint condition, taking the maximum energy storage system net income as an objective function, taking the battery life attenuation cost as a correction parameter, and obtaining an optimal charge and discharge power sequence, and controlling the charging and discharging actions of the energy storage system, monitoring an electricity price prediction deviation index in real time, optimizing and calibrating an electricity price prediction model, updating an optimal charging and discharging power sequence, adjusting the charging and discharging actions when the electricity price prediction deviation index is greater than a preset deviation threshold value, and repeating the steps at the beginning of a next rolling period, so that the benefits of the energy storage system are improved, and the battery loss is reduced.

The invention discloses a thermal power generating unit, flywheel and compressed air hybrid energy storage system and an operation method, and relates to the technical field of flexibility improvement of novel energy storage and thermal power systems. The system comprises a flywheel energy storage subsystem, a compressed air energy storage subsystem, a thermal power collaborative heat exchange system, a flywheel-CAES switching coupling module and an intelligent control system. The flywheel energy storage subsystem is responsible for millisecond-level frequency modulation response, the compressed air energy storage subsystem provides minute-level stable output, and the flywheel energy storage subsystem and the compressed air energy storage subsystem cooperatively work through an intelligent control system to realize a composite regulation mode of'fast response-high capacity '; a compressed air side is coupled with a thermal power plant turbine steam extraction system, a boiler flue gas system and a condensed water system to improve the energy release efficiency; the flywheel side interacts with a power grid in real time through a bidirectional converter, and rapid frequency support is achieved. The system has the quick response capability and the long-time energy supporting capability, the frequency modulation and peak regulation performance of the thermal power generating unit is remarkably improved, and the system has high engineering popularization value and application prospects.

The invention discloses a photovoltaic photo-thermal coupling hydrogen production system control method for a hydrogen-burning heavy truck traffic network. The method comprises the following steps: S01, collecting operation data of a photovoltaic array, an electrolytic cell and a hydrogen storage tank; s02, based on a model prediction control algorithm, establishing a multi-objective optimization model containing an objective function and constraint conditions; s03, merging the sub-objective functions into a comprehensive objective function through a linear weighting method; s04, applying constraint conditions; S05, performing rolling optimization calculation by adopting a model prediction control algorithm; s06, outputting an optimal control variable; s07, adjusting corresponding parameters in the system; s08, monitoring the running state of the system; s09, whether the system meets constraint conditions is judged, according to the control method, through multi-target collaborative optimization and precise constraint control, the performance, efficiency, economical efficiency and safety of the photovoltaic photo-thermal coupling hydrogen production system can be remarkably improved, and clean, efficient and stable hydrogen energy supply is provided for a hydrogen combustion heavy truck traffic network.

The invention relates to a pumped storage and compressed air energy storage coupled scheduling method, which comprises the following steps of: establishing a multi-stage data system based on input data of multiple time scales; constructing a multi-time scale scheduling model; when the load of the pumped storage mixed compressed air energy storage power station is lower than a first preset threshold value, electricity is abandoned preferentially, water pumping and compression are conducted, and when the load is larger than a second preset threshold value, the pumped storage mixed compressed air energy storage power station is controlled to conduct combined energy release. The nonlinear relation between the pumped storage efficiency and the water level and the nonlinear relation between the compressed air energy storage power and the pressure are converted into linear constraints, solving is conducted by dividing the water level interval and the pressure level, and a scheduling strategy is obtained. Therefore, the problems of relatively low energy storage efficiency, insufficient scheduling refinement, relatively high system standby cost and the like caused by the problems that pumped storage water scheduling and CAES energy management are separated, a standby capacity coordination mechanism is lacked and the like in a hybrid system scheduling method in related technologies are solved.

The invention belongs to the technical field of high-energy-consumption industrial energy conservation and carbon reduction, and particularly relates to an electrolysis process waste heat gradient utilization and green electricity energy storage coupling system and a regulation and control method thereof. An electrolysis process waste heat gradient utilization and green electricity energy storage coupling system comprises a waste heat recovery module used for recovering and gradient utilization of electrolysis high-temperature and medium-low-temperature waste heat for power generation or heat supply; the green electricity direct supply module comprises a photovoltaic unit, a hybrid energy storage unit and an electricity-heat conversion unit and is used for preferential direct supply, fluctuation absorption and storage of green electricity; and the multi-energy coupling regulation and control module is in communication connection with each module and a power grid, and dynamically optimizes and coordinates energy distribution among waste heat power, green power, energy storage and the power grid based on a preset algorithm.

The invention relates to the technical field of energy storage cabinets. The immersed liquid cooling energy storage cabinet comprises an energy storage cabinet body, a storage cabin is arranged in the energy storage cabinet body; the storage cabin comprises a liquid cooling cabin, a battery cabin and an electrical cabin; the liquid cooling cabin, the battery cabin and the electrical cabin are sequentially distributed in the energy storage cabinet body at intervals; an independent liquid cooling cabin is arranged; the liquid cooling machine can be independently moved outwards, and the situation that when a traditional liquid cooling machine is arranged in an electrical cabin or a battery cabin, the liquid cooling machine is not cooled in time or leaks liquid, and devices in the corresponding cabin are damaged is avoided; according to the invention, the liquid cooling cabin, the battery cabin and the electrical cabin are arranged in different areas; the overall layout of the energy storage cabinet is simpler, the subsequent battery box is convenient to disassemble and assemble, and after-sales maintenance is facilitated; meanwhile, by means of zoning arrangement, liquid such as traditional cooling liquid can be prevented from being discharged in a zoning mode when leaking, and the risk that devices in the electrical cabin are soaked is avoided.