521results about How to "Stable power supply" patented technology

The invention relates to the technical field of electric power design, in particular to an intelligent dispatching system of a transformer area power supply grid. According to the method, a self-adaptive sampling strategy of real-time load fluctuation and distributed energy output characteristics is adopted; when the system detects the rapid change or abnormal fluctuation of the load, the data acquisition frequency is automatically improved, so that the capture of key information is ensured; when the load is stable, the sampling frequency is reduced, and the collection of redundant data is reduced; adaptive sampling can dynamically adjust the acquisition frequency, it is guaranteed that important data are not lost at the critical moment, and meanwhile the system burden is reduced; a hierarchical data processing architecture is adopted, data processing is divided into an edge layer and a cloud layer, the edge layer is responsible for conducting primary processing on data collected in a transformer area, including denoising, feature extraction and the like, and the data quality is guaranteed; only the key data subjected to primary processing is uploaded to a cloud end for data analysis and decision optimization; therefore, the burden of data transmission and processing is reduced, and the real-time response capability of the scheduling system is improved.

The invention discloses a power supply circuit, a server and a time sequence control method, relates to the field of server power supply, and solves the problem that the demand of loads such as a GPU (Graphics Processing Unit) and a CPU (Central Processing Unit) on short-time peak power is increasingly increased at present. According to the power supply circuit, the long-time power supply module and the peak value compensation module are introduced to work cooperatively, the long-time power supply module provides stable energy conversion, and the long-term stable power supply requirement of a load is met; and the peak compensation module dynamically adjusts power supply according to the load demand and the working state of the long-time power supply module, provides or recovers energy, and meets the instantaneous peak power demand, thereby avoiding the defect that the peak current cannot meet the requirement or needs a large-scale redundancy and high-cost capacitor row in the traditional scheme, and improving the reliability of the system. According to the design, power supply stability can be guaranteed, system cost and size are reduced, and overall power supply efficiency and response capability are improved.

The invention relates to a fishing light system photovoltaic power prediction method considering environment change and photovoltaic panel aging, and the method comprises the steps: obtaining fishing light system data, carrying out the power index analysis, classifying weather types, and obtaining a data set of each weather type; analyzing the correlation between each meteorological factor influencing the photovoltaic power generation and the photovoltaic power generation power, and screening out main influence factors; based on a photovoltaic array mechanism model, calculating theoretical power values of parameters in the data set, and identifying and optimizing power abnormal points; the relative aging degree of the photovoltaic module is calculated, so that the photovoltaic output power in the data set is corrected; searching historical data of similar days from the data set according to measured data of a prediction day, and constructing a sample set to perform iterative training on the neural network; and inputting the actually measured data of the prediction day into the trained neural network to obtain a photovoltaic power prediction result. Compared with the prior art, the method effectively improves the accuracy of power prediction of the fishing light system and the effectiveness of power supply.

The invention relates to the technical field of energy storage configuration, in particular to an energy storage configuration method and system for photovoltaic power generation. The method comprises the following steps: acquiring information data of a photovoltaic power generation energy station; performing distributed synchronous energy storage network construction on the photovoltaic power generation energy station information data to obtain a distributed synchronous energy storage network; performing real-time power generation data acquisition on the distributed synchronous energy storage network to obtain standard real-time photovoltaic power generation data; performing photovoltaic power generation prediction on the standard real-time photovoltaic power generation data to generate real-time photovoltaic power generation prediction data; performing historical electricity load data acquisition on the distributed synchronous energy storage network to obtain historical electricity load data; and performing load curve curvature trend analysis on the historical electricity load data to generate load curve curvature trend data. According to the invention, through real-time photovoltaic power generation prediction, load demand dynamic analysis and adaptive energy storage strategy optimization, the accuracy and flexibility of photovoltaic energy storage configuration are improved.

The invention discloses a source-grid-load-storage integrated micro-grid intelligent scheduling system, and relates to the technical field of micro-grid management, the system comprises a comprehensive scheduling platform, the comprehensive scheduling platform is in communication connection with an energy data acquisition module, an energy prediction module, an intelligent scheduling module, an energy storage management module and a fault early warning module, and the modules are in electric signal connection. By integrating the sensor network and the data acquisition and processing technology, the running states of various energy devices and energy storage devices in the micro-grid are monitored in real time, the reliability and stability of the system are remarkably improved, potential device faults can be found and early warned in time, fault enlargement is avoided, and the reliability and stability of the system are improved. The power failure time and economic loss caused by faults are reduced, the charging and discharging strategy of the energy storage equipment can be flexibly adjusted according to the real-time load requirement and the renewable energy power generation condition, it is ensured that the microgrid can keep stable electric energy supply under various working conditions, and the power utilization requirement of a user is met.

The invention discloses a power distribution network fault recovery method based on deep reinforcement learning, and the method comprises the following steps: constructing an objective function and constraint conditions based on a power distribution network system containing a distributed power supply, and building a power distribution network fault recovery model; designing an action space based on loop-switch coding, and performing infeasible solution screening based on radial constraint; a reinforcement learning framework of power distribution network fault recovery is established, a fault recovery strategy based on a PPO algorithm is provided, a strategy network is trained, a trained network model is applied to power distribution network fault recovery, switch on-off selection can be performed according to a system state, and load transfer and power flow optimization can be realized. According to the invention, the fault recovery efficiency of the power distribution network is effectively improved, the network loss is reduced, and the operation safety of the system is ensured.

The invention relates to the technical field of resource configuration optimization, in particular to a virtual power plant resource optimal configuration method and system. The method comprises the following steps: obtaining energy load storage resource data corresponding to each power generation unit in a virtual power plant, and carrying out power generation power prediction analysis and energy storage equipment charge and discharge state analysis on each power generation unit in the virtual power plant; the energy power generation power corresponding to each power generation unit and the charging and discharging operation state data of the energy storage equipment are obtained; performing resource operation load demand prediction analysis on the corresponding power generation units to obtain resource operation load demand prediction quantities corresponding to the power generation units; and carrying out resource configuration optimization target analysis on each power generation unit in the virtual power plant to obtain a virtual power plant power generation unit resource configuration optimization target and resource optimization configuration processing so as to generate a virtual power plant power generation unit resource optimal configuration scheme. According to the invention, efficient optimal configuration of each power generation unit resource in the virtual power plant can be realized.

The invention relates to the technical field of energy conservation, environmental protection and building energy management, and discloses a low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage, which comprises a waste heat recovery module, a photovoltaic power generation module, an energy storage module, an intelligent control module and a carbon emission reduction statistics and feedback module, all the modules work cooperatively to form an integrated energy-saving and carbon-reducing system, when the low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage is used, a stable heat source can be provided for domestic hot water through the waste heat recovery module, power self-supply of a service area is achieved through the photovoltaic power generation module, and energy conservation and emission reduction are achieved. The energy storage module stabilizes power supply during power generation fluctuation, the intelligent control module guarantees efficient cooperative work of all the modules, the autonomous learning module automatically distributes heat storage and power storage resources according to historical data and demand prediction, and the system stably operates under peak or fluctuation conditions. And the carbon emission reduction statistical module provides data support for low-carbon benefits of the system.

The invention discloses a distributed photovoltaic grid management method and system, and relates to the technical field of distributed photovoltaics, a distributed photovoltaic efficiency analysis module of the system monitors and evaluates the power utilization efficiency Psys of the whole system in real time by constructing a power efficiency formula, and compares the power utilization efficiency Psys with a preset efficiency threshold value X. When the operation efficiency of the system is lower than a set threshold value, the intelligent scheduling and energy distribution module starts an optimization strategy according to an electric power balance scheduling analysis result, redistributes electric power supply, preferentially meets a high-demand area or an area with insufficient energy storage, and ensures electric power supply and demand balance. According to the system, through an intelligent scheduling algorithm, power distribution is flexibly adjusted based on the priority factor of each micro-grid unit, and the operation efficiency of the system is improved. An intelligent feedback and iterative scheduling mechanism enables the system to still maintain efficient operation under continuously changing load and power generation conditions, power loss is reduced, resource waste is reduced, and the overall power utilization rate is improved.

The invention relates to the technical field of power distribution network protection, and provides a power distribution network override trip protection method based on a distributed network. S1, arranging multiple layers of intelligent distributed protection devices at different nodes of the power distribution network, wherein each layer of protection device has different fault detection and protection decision capabilities; and S2, realizing localized data processing and fault detection through the edge calculation unit of each protection device, wherein the fault detection carries out real-time fault identification based on a deep learning model. According to the arrangement scheme of the multi-layer intelligent distributed protection device, the protection device is divided into a high-voltage layer, a medium-voltage layer and a low-voltage layer according to the voltage grade and the load importance, the technical effects of step-by-step fault isolation and layered protection are achieved, and compared with the arrangement mode of a unified protection device in the prior art, the protection device has the advantages of being simple in structure and convenient to use. The problem of large-range override tripping is effectively solved, layered response of different levels of protection devices to faults is realized, the fault influence range is further controlled, and the stability of the system is improved.

The invention provides a power distribution cable operation state monitoring device and method. The monitoring device comprises a multi-sensor monitoring module, a data processing module, a self-calibration module, a self-powered module, an early warning module and a diagnosis and repair module. The multi-sensor monitoring module comprises a cable partial discharge and fracture unit, a cable operation environment sensing unit and a cable built-in monitoring unit. The data processing module comprises a processing and analysis unit, a real-time judgment unit and an estimation unit; the self-calibration module comprises a multi-sensor fusion unit and a self-healing unit; according to the invention, various sensor data can be fused, the accuracy and reliability of the monitoring device are improved, and the possible limitation of a single sensor is avoided; a self-powered system is adopted, and a stable power supply can be provided for the monitoring device through an electromagnetic induction or photovoltaic technology; and when the monitoring device detects that the cable has a fault or an abnormal condition, measures can be automatically taken for repairing.

The water electrolysis hydrogen production control system comprises an energy conversion unit, an electric energy storage unit, an electrolysis hydrogen production unit, a hydrogen storage unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an intelligent regulation and control unit and a remote monitoring unit, and the energy conversion unit is used for converting renewable energy into electric energy. Temperature, pH value, current, voltage, electric quantity, air pressure and hydrogen concentration data are collected in real time, then intelligent analysis and judgment are conducted, an analysis and judgment result is obtained, a regulation and control instruction can be issued in time, it is ensured that the temperature of the electrolytic cell is appropriate, electric energy supply is stable, and the efficiency and safety of electrolytic hydrogen production are effectively improved. And meanwhile, the remote monitoring unit realizes data visualization and abnormity alarm, so that operation and maintenance personnel can master the state of the system in time and quickly respond and process.

The invention belongs to the technical field of charging pile management, and discloses a charging pile intelligent management method and system. Comprising the following steps: carrying out data acquisition on a target area and charging piles needing to be managed in the target area to obtain corresponding charging pile data and area load data; uploading the data to a pre-constructed scheduling block chain; performing electric pile diagnosis on the corresponding charging pile based on the collected electric pile data to obtain a corresponding fault diagnosis result, judging whether the charging pile has a fault based on the fault diagnosis result, and if not, marking the corresponding charging pile as a healthy electric pile; if the fault exists, fault information is generated and fault early warning is carried out; performing power distribution load management on the corresponding healthy electric piles in combination with the collected regional load data; according to the invention, intelligent management of the charging pile is realized, the operation efficiency and safety of the charging pile are improved, and more efficient power distribution load management is realized in combination with the charging demand of a user.

The invention relates to the technical field of cables, in particular to a 220kV crosslinked polyethylene ultrahigh-voltage cable and a preparation method thereof. The 220kV crosslinked polyethylene ultrahigh-voltage cable comprises a conductor, an inner semi-conductive shielding layer, a modified crosslinked polyethylene insulating layer, an outer semi-conductive shielding layer, a fireproof enhancement layer and a sheath, a crosslinked polyethylene insulating layer in a traditional 220kV crosslinked polyethylene ultrahigh-voltage cable is modified, and a fireproof reinforcing layer is introduced on the basis of the traditional 220kV crosslinked polyethylene ultrahigh-voltage cable; in the aspect of mechanical performance, the strength, the flexibility and the wear resistance are improved, frequent actions and complex environments of fire-fighting robots and movable fire-fighting equipment are adapted, in the aspect of heat stability, the heat resistance is enhanced, and normal work of emergency rescue equipment at high temperature is guaranteed; the sintered material forms a heat insulation barrier in a fire disaster to protect the emergency rescue lighting and communication equipment cable from being damaged by high temperature, and the flame retardant inhibits flame spreading and combustion to prevent the fire disaster from expanding through the cable.

The invention provides an automatic consumption device, method and equipment for a distributed photovoltaic transformer area and a medium. The automatic consumption device comprises a data acquisition module, a smart energy module and a control module, the data acquisition module is used for acquiring transformer area operation information of transformer area terminal equipment and sending the transformer area operation information to the smart energy module through HPLC and / or LoRa; the smart energy module is used for calculating a consumption value according to the transformer area operation information of the transformer area terminal equipment and sending the consumption value to the control module; the control module is used for sending a configuration instruction to the smart energy module according to the relation between the consumption value and the consumption threshold value, and controlling the smart energy module to adjust the operation parameters of the transformer area terminal equipment. The problem that intermittent and fluctuating power generation characteristics of distributed photovoltaic affect the electric energy quality and stability of a power grid is solved.

The acupuncture and moxibustion auxiliary operation device comprises an outer shell, an inner shell and a controller, a fixing assembly is installed on the outer side wall of the outer shell, a rotating assembly is installed on the inner top wall of the outer shell, an opening is formed in one end of the inner shell, a first pressure sensor is installed at the opening, and a connecting rod is fixedly connected to the inner top wall of the inner shell; the connecting rod is provided with a plurality of leaking holes and connected with a power part, a force storage shell is installed outside the power part, a strain gauge is embedded in the side wall of the force storage shell, the bottom of the force storage shell is communicated with a needle pushing assembly, the needle pushing assembly comprises a shell, a needle clamping device is in sliding fit with one end of the shell, a pushing plate is in sliding fit with the interior of the shell, and the space between the pushing plate and the needle clamping device is filled with liquid. And a liquid level sensor is embedded in the shell. The problems that in the traditional acupuncture treatment process, the dependence on the skills of doctors is high, operation is tedious, and the control over the needle inserting depth and the needle twisting angle is inaccurate are solved.

The invention relates to the field of multi-energy power supply control, in particular to a multi-energy power supply communication power supply control method. The method comprises the following steps: firstly, acquiring electricity consumption data of each time period every day in different periods and generating capacity data of different types of power generation facilities, and acquiring predicted meteorological data and actual meteorological data of different meteorological types every day; and predicting the power consumption of each time period of the next day, and predicting the power generation amount of each time period of the next day according to the power generation amount data of each power generation facility in the same time period in the current day and the difference between the predicted meteorological data and the actual meteorological data of the meteorological type on which each type of power generation facility depends. And extracting the insufficient power supply time period in the next day, and controlling the power supply mode of the insufficient power supply time period. According to the invention, the multi-energy power supply communication power supply can be effectively controlled, the power supply stability is ensured, and the final power supply control effect is improved.

The utility model belongs to the field of tooth socket pressure data acquisition equipment, and particularly relates to a pressure data acquisition device for a wearable tooth socket, which comprises a pressure sensitive unit and a signal output unit packaged on a tooth socket body, the pressure sensitive unit comprises a first flexible substrate, a first flexible electrode, a dielectric film, a second flexible electrode and a second flexible substrate; the first flexible electrode and the second flexible electrode are correspondingly embedded in the first flexible substrate and the second flexible substrate respectively to form an integrated structure; a dielectric film is clamped between the first flexible substrate and the second flexible substrate; the upper surface and the lower surface of the dielectric film are respectively attached to the top surface of the first flexible electrode and the bottom surface of the second flexible electrode; and the pressure sensitive unit is in wireless communication with intelligent terminal equipment outside the oral cavity through the signal output device. The pressure sensitive unit is small in size, thin in thickness and high in fitting degree with the tooth socket, the shape of the original tooth socket cannot be changed, and foreign body sensation cannot be generated when the tooth socket is worn.

The invention discloses a key area intelligent monitoring system based on communication towers, and relates to the field of communication technology, IoT and intelligent monitoring, and the key area intelligent monitoring system is characterized in that each communication tower is provided with a front-end sensing layer; the front-end sensing layer is used for acquiring sensor data of a key area and preprocessing the sensor data to generate preprocessed data; the channel transmission layer is used for transmitting the preprocessed data to the data processing and analyzing layer; the data processing and analysis layer is used for generating a self-adaptive abnormal behavior recognition model based on a machine learning model library, processing the preprocessed data according to the self-adaptive abnormal behavior recognition model, analyzing abnormal behaviors and generating a data analysis result; the application service layer is used for transmitting the data analysis result to the mobile terminal and formulating an early warning strategy according to abnormal behaviors in different scenes; the early warning strategy comprises an early warning threshold value and a response rule. According to the invention, comprehensive coverage of a monitoring area, rapid monitoring response and timely data processing can be realized.

The invention discloses a cross-provincial flexible scheduling method and system for a pumped storage power station, and the method comprises the steps: monitoring the operation state of each unit of the pumped storage power station in a region, and displaying the basic data and operation conditions of each unit on a front-end web page, and formulating a pumped storage calling method according to the capacity demand of each small region in the whole large region for the pumped storage power station and the available capacity of the inter-provincial tie line, and finally realizing rear-end data transmission and development and display of a front-end data simulation platform by using a Django framework. The method has the advantages that the current situation that pumped storage is ignored under the background of vigorous development of new energy is solved, meanwhile, the blank that pumped storage participates in trans-provincial calling is filled up, the energy calling process is visually displayed through the computer technology, and the pumped storage calling frequency and efficiency are improved.

The invention relates to the technical field of new energy, and discloses a distributed new energy storage system, which comprises a distributed energy storage module, a central control module and a communication module, the distributed energy storage module comprises a storage battery, a battery management unit and a control unit; the distributed energy storage modules are deployed at different positions of a power grid; the distributed energy storage module is used for storing and releasing electric energy; the central control module comprises a data processing unit, a prediction unit and a scheduling unit; the central control module is used for monitoring the state parameters of the working state of the distributed energy storage module in real time and controlling the working state of the distributed energy storage module according to the pre-collected power grid load and the power generation amount of the new energy power generation device; and the communication module is used for constructing a communication link between the distributed energy storage module and the central control module. According to the invention, the ability of the power grid to deal with sudden load change is enhanced, the efficiency and flexibility of new energy power generation are effectively improved, and the permeability of renewable energy and the overall operation efficiency of the power grid are improved.

The invention provides a pantograph ice scraping device and method for real-time deicing and relates to the technical field of rail transit, and the method comprises the steps that the train speed, the gravity of a contact line under icing and the contact force of a current-receiving pantograph are collected in real time; inputting the train speed and the gravity into a preset pantograph-catenary dynamical model to calculate the optimal lifting force of the ice-scraping pantograph; based on the optimal lifting force of the ice scraping pantograph, the height of the ice scraping pantograph is controlled in real time for ice scraping; calculating a difference value between the contact force and a preset contact force, and updating the optimal lifting force of the current-collecting pantograph through the difference value; and the height of the current-receiving pantograph is controlled based on the optimal lifting force of the current-receiving pantograph, and optimal pantograph-catenary matching during ice scraping of the pantograph is achieved. According to the method, the problems that under the conditions that the icing speed of the overhead line system is high and the skylight time is short, the overhead line system cannot be conveniently and efficiently deiced, and good contact between pantograph catenaries cannot be guaranteed in an existing method are solved.

The invention discloses a power supply system containing a hybrid energy storage and diesel generator two-stage emergency power supply, which relates to the technical field of power supply systems and comprises an alternating current bus, a system power supply, an energy storage device, a diesel generator, an important load and an unimportant load. The system power supply comprises a frequently-used power supply and a standby power supply which are respectively connected to the AC bus through switches; the energy storage device consists of a hybrid energy storage system, a three-phase inverter, a filtering unit and an energy storage switch, and is connected to the alternating current bus; the diesel generator is connected to the bus through the grid-connected switch; the loads are divided into important loads and unimportant loads, and the system has four switchable states of common power supply-energy storage parallel connection, standby power supply-energy storage parallel connection, energy storage power supply and diesel generator-energy storage parallel connection so as to ensure stable power supply.

The invention discloses a method and a system for building a microwave energy collection device of an electronic transformer, and the method comprises the steps: collecting and analyzing a first signal transmitted by a first object, and selecting an antenna; and performing simulation analysis according to the first characteristic parameter of the antenna, and further screening a proper antenna. And constructing a first network and a circuit of the first object, performing simulation, and collecting first signal energy. According to the microwave energy collection device for the electronic mutual inductor provided by the invention, the influence of an antenna and a matching circuit on the performance of a radio frequency energy collection system is fully considered; the antenna, the impedance matching circuit and the energy management circuit are comprehensively designed from the aspect of energy utilization efficiency, so that the electronic transformer can realize stable power supply by collecting microwave energy in a working environment.

The invention belongs to the technical field of power electronics, and provides a battery management system power supply circuit of a high-voltage direct-hanging energy storage system, an energy storage valve and an energy storage station. And under the condition that the energy storage sub-module where the battery management system is located is bypassed, the energy storage sub-modules except the energy storage sub-module where the battery management system is located are selected to supply power to the battery management system, so that the problem that the battery modules in the bypassed energy storage sub-modules are over-discharged due to continuous consumption of the battery management system is solved. Furthermore, all the battery management systems in the energy storage sub-modules are controlled to be powered by the electric cabinet batteries where the battery management systems are located, so that the electric quantity uniformity of all the electric cabinets in the same energy storage sub-module is achieved.

The invention discloses a terminal side network slicing method and system based on load identification, electronic equipment and a storage medium, and the method comprises the steps: obtaining the operation state, power consumption and power factor data of each piece of equipment, and carrying out the preprocessing and normalization of the obtained data; establishing a load characteristic data set, wherein the load characteristic data set comprises a load characteristic matrix, an adjacent matrix and a load type label; constructing a graph neural network load identification model, and training the graph neural network load identification model; taking the load characteristic matrix and the adjacent matrix as input of a graph neural network load identification model, and obtaining a load type corresponding to each node; setting a transmission priority of terminal data in combination with the load attribute; and according to the transmission priority of the terminal data, determining a URSP service mapping rule to complete slicing. The method enables the key load to obtain stable power supply, and improves the overall operation efficiency of the power grid.

The utility model discloses an intelligent variable-frequency pneumatic dredging conveying and flow guarantee system. The device belongs to the technical field of dredging and is composed of a cutter suction head, a conveying pipe system, an electric power distribution system, a solar power generation system, a generator, a controller, an air compressor, an air pump frequency conversion controller, an air pump, a cutter suction head power controller, a plurality of optical fiber cables and a plurality of air conveying pipelines. A pneumatic dredging conveying mode is designed, and compared with a traditional silt pump method, the pneumatic dredging conveying device is simple in structure and better in silt conveying smoothness; by adopting a solar energy and mechanical power generation hybrid energy mode, stable, green and energy-saving power supply can be realized; the method for judging the fluidity of the slurry in the conveying pipe system through the flow velocity loss of the conveying pipe system is adopted, variable-frequency raking and conveying are conducted in a cooperative control mode, and variable-frequency, energy-saving and high-smoothness dredging operation can be achieved.

The invention discloses an underwater new energy power supply system. The power supply system comprises a plurality of new energy power generation modules and a first direct-current transformer which are arranged on the water surface, and a second direct-current transformer and a plurality of charging modules which are arranged underwater, the first direct-current transformer comprises a plurality of first sub-modules, and the low-voltage side of each first sub-module is connected with the corresponding new energy power generation module; the first direct-current transformer comprises a plurality of first sub-modules, the high-voltage sides of the first sub-modules are connected in series, the second direct-current transformer comprises a plurality of second sub-modules, the high-voltage sides of the second sub-modules are connected with the high-voltage sides of the first direct-current transformer after being connected in series, and the low-voltage sides of the second sub-modules are connected in parallel; the input end of each charging module is connected with the low-voltage side of the corresponding second sub-module, and the output end of each charging module is used for being connected with the corresponding underwater electric equipment. According to the scheme, stable electric energy supply can be provided for the underwater electric equipment, and the power supply cost of the underwater electric equipment is reduced.

The invention is applicable to the technical field of hydroponic plants, and provides an offshore hydroponic device utilizing wave energy, wind energy and solar energy, which comprises a floating hydroponic frame, a power supply energy storage unit, a nutrition supply unit and a control unit, the floating hydroponic frame comprises a floating box floating on the water surface and a hydroponic plant frame arranged above the floating box, and a plurality of hydroponic grooves used for planting hydroponic plants are vertically distributed in the hydroponic plant frame side by side. The nutrition supply unit comprises a nutrient solution storage tank, a nutrient solution pump and a purifying and conditioning unit which are arranged in the floating box, the nutrition supply unit is arranged, through cooperation of the nutrient solution storage tank, the nutrient solution pump and the purifying and conditioning unit, the nutrient solution pump pumps a nutrient solution from the nutrient solution storage tank, and the nutrient solution is conveyed to the roots of the hydroponic plants after being purified and conditioned; the concentration and supply amount of the nutrient solution can be more accurately controlled, the requirements of plant growth are met, the uniformity of plant growth can be effectively improved, and overnutrition or insufficient nutrition is prevented.

The invention relates to the technical field of power supply and power distribution scheduling, in particular to a power distribution regulation and control method and system for a transformer area high-power charging station. The method is used for managing power distribution of a high-power charging station in a transformer area, a power distribution load model is established by collecting power utilization data of the charging station, power extreme value data is analyzed, and the average frequency is calculated, so that balanced power utilization load evaluation is obtained, and a first power distribution parameter for performing power distribution compensation on a power utilization extreme value is obtained. And predicting the electricity utilization probability of a specific user group in the future through the prediction model, determining a second power distribution parameter for performing redundant power distribution according to the electricity utilization probability, and finally calculating the extra power distribution quantity and the redundant power distribution quantity. The power distribution strategy can be dynamically adjusted according to the power peak value and the predicted power utilization probability, it is ensured that the charging station can stably supply power under the high load and the corresponding prediction probability, and the power distribution efficiency and the power supply reliability are improved.