142results about How to "Improve power supply reliability" patented technology

The invention relates to a distribution network maintenance topology identification system based on multi-source data fusion, and the system achieves the effective integration and precise processing of multi-source power distribution network data through the cooperative work of a multi-source data collection module, a data preprocessing module and a measurement generation module, and remarkably improves the temporal-spatial resolution of the state quantity of a distribution network. According to the method, a confidence evaluation system is constructed, and an algorithm confidence evaluation system is used for carrying out confidence scoring on an output identification structure, so that the uncertainty of an identification result can be quantified, and the availability and reliability of the system in an actual complex environment are greatly improved; through seamless connection and data interaction between a database and a marketing system and a scheduling system, the applicability and effectiveness of the system in an actual maintenance scene are ensured, accurate and reliable topology identification support can be provided for power distribution network maintenance, and the maintenance efficiency and the power supply reliability are improved; the method has the advantages of being high in self-adaption, accurate and reliable.

The invention relates to the technical field of the intelligent power grid industry, in particular to a power distribution and utilization ring network fault intelligent troubleshooting method and system. According to the method, a looped network situation primitive is generated through multi-source heterogeneous data fusion. The primitives are input into synchronous compression transformation to extract transient fault initial features, and the transient fault initial features are mapped into fault propagation path features through a graph convolutional network considering topological structure constraints; then, inputting the features into a space-time correlation prediction model, integrating defect type judgment and trend pre-judgment features, and generating a fault diagnosis evidence set; and starting an investigation mechanism based on the evidence set to determine an interval to be investigated, and performing closed-loop verification by constructing a fusion judgment matrix based on multi-modal physical sensing information to realize physical space locking of a fault defect point. According to the method, deep learning diagnosis and multi-mode positioning are integrated, and the detection precision and the positioning efficiency of looped network defects and the identification capability of transient hidden faults are effectively improved.

The invention discloses an intelligent opening and closing method and system for a reclosing circuit breaker based on an electromagnet, and relates to the field of intelligent control, and the method comprises the steps: monitoring a line current in real time, comparing the line current with a preset threshold value, and carrying out the opening after the overcurrent abnormality is detected. Entering a first time delay stage after opening, comprehensively evaluating the states of the circuit breaker and the circuit, and constructing a dynamic weight index system to calculate an evaluation score; if the score exceeds a threshold value, closing is carried out after time delay is finished, otherwise, an alarm is triggered. And entering a second delay stage after switching on, continuously monitoring the electric parameters and establishing an anomaly judgment mechanism, forming a closed-loop protection process of monitoring, switching off, evaluating, switching on and re-monitoring, and realizing intelligent linkage of overcurrent protection and state self-adaption. The method has the advantages that through real-time line electric parameter monitoring, multi-dimensional state evaluation and an intelligent decision-making mechanism, precise opening and closing of the circuit breaker are achieved, the power supply reliability is improved, the power failure time is shortened, and the misoperation risk is reduced.

The embodiment of the invention discloses a charging pile output power control method and a related device, the method is applied to a controller of a first charging pile of a charging station, the charging station comprises the first charging pile and a plurality of second charging piles, and the first charging pile is in communication connection with the plurality of second charging piles through a CAN bus; comprising the steps of obtaining output power of a plurality of second charging piles; according to the output power of the plurality of second charging piles, calculating the required power of the charging station; when the required power is greater than a preset power threshold value of the charging station, generating a first control instruction; and broadcasting the first control instruction to a plurality of second charging piles through a CAN bus. Therefore, the control of the output power of the charging pile is realized, the overload protection problem of the transformer is solved on the premise of not additionally adding hardware equipment, and the operation efficiency and the power supply reliability of the charging station are improved.

The invention discloses a micro-grid stability enhancing method and system based on ocean energy, and relates to the technical field of micro-grids, and the method comprises the steps: carrying out the load prediction of a micro-grid according to a future time zone, and obtaining the load demand of the micro-grid; performing power generation characteristic prediction on the ocean energy power generation system to obtain an ocean energy power generation prediction map; performing multi-energy complementary scheduling on the ocean energy power generation system to obtain an ocean energy power generation strategy; according to the ocean energy power generation strategy, micro-grid stability is enhanced, and an optimized power generation strategy is obtained; and performing power supply management on the micro-grid according to the ocean energy power generation system based on the optimized power generation strategy. The technical problems that in the prior art, due to power generation intermittency and volatility when ocean energy is connected into the micro-grid, power of the micro-grid is unbalanced, and operation stability and power supply reliability are reduced are solved, and the purpose of optimizing the power supply reliability through prospective load and power generation prediction and multi-energy complementary optimization scheduling is achieved. The power fluctuation is effectively stabilized; and the power supply reliability and the operation stability of the micro-grid are improved.

This utility model belongs to the field of power transmission and distribution engineering technology, specifically disclosing an overhead insulated conductor with a reinforced tensile structure. It includes an aluminum conductor, an insulating separator sleeve fitted over the aluminum conductor, an insulating separator sleeve fixedly connected to the outside of the insulating separator sleeve, and a galvanized copper conductor on the outside of the insulating separator sleeve. It also includes reinforcing ribs, fixing blocks, and an outer protective layer for the conductor. The reinforcing ribs are used to improve the tensile strength of the conductor; the fixing blocks are used to fix the internal structure of the conductor. The beneficial effect of this utility model is that by using a non-metallic aramid fiber reinforcing layer and a glass fiber inner protective layer to jointly bear the load, the mechanical tensile function and electrical conduction function of the conductor are separated. The main tensile force is borne by extremely high-strength, extremely lightweight synthetic fibers, enabling the conductor to have a tensile strength and fatigue resistance far exceeding that of traditional steel-cored aluminum stranded wires of the same diameter, while significantly reducing the self-weight of the conductor and the load on the tower.

This invention discloses a photovoltaic (PV) and energy storage collaborative regulation and management platform and control method, belonging to the field of shipboard new energy storage regulation. It aims to solve the problems of poor adaptability, insufficient safety protection, and lagging regulation in shipboard PV-storage systems. The platform includes a shipboard PV-storage regulation parameter acquisition module, a PV-storage-fuel power collaborative scheduling module, and a marine environment early warning and regulation module. It collects multi-source data and associates it with spatiotemporal tags to construct a dataset and calculate core regulation parameters, predicting PV output trends. It quantifies marine environmental stress factors, couples equipment parameters to analyze failure probabilities, and provides graded early warnings. It executes a three-level scheduling based on "PV priority consumption – energy storage supplementation – fuel oil backup," linking risk levels to dynamically optimize strategies. This invention achieves precise matching of energy supply and demand, reduces the risk of equipment failure caused by the marine environment, ensures continuous power supply to core loads, improves PV consumption efficiency and system stability, and balances environmental protection and operational economy, making it suitable for various shipboard new energy power supply scenarios.

The embodiment of the application provides a power supply control method and a power supply control circuit, and relates to the technical field of electronic products. The circuit comprises a power supply module, a first switch module, a second switch module, a third switch module and a start trigger module; the first switch module is used for determining the first switch module as a conduction state in response to connecting a first power supply, and the third switch module is used for determining the working state of the third switch module as a disconnection state; the start trigger module is used for determining the working state of the second switch module as a conduction state in response to receiving a start instruction, so that the first power supply supplies power to a target load; the third switch module is further used for determining the third switch module as a conduction state in response to connecting a second power supply and the first power supply being powered off, and the start trigger module determines the working state of the second switch module as a conduction state in response to receiving a start instruction, so that the second power supply supplies power to the target load. The embodiment of the application can improve power supply reliability.

A cable channel environment automatic adjusting device disclosed by the present invention comprises a monitoring module, a communication module, a CPU processor, a power supply module and a control module, an output end of the monitoring module is connected with the CPU processor, a power supply port of the CPU processor is connected with the power supply module, the CPU processor is further electrically connected with the communication module and the control module, and the communication module is wirelessly connected to a mobile equipment terminal. The monitoring module collects water level, temperature, humidity and video environment information of accumulated water of the cable channel and transmits the environment information to the CPU processor, and the control module is started through the CPU processor to automatically adjust the environment of the cable channel. The cable can reliably operate in a normal-temperature and dry environment, the service life of the cable is effectively prolonged, the power failure time is shortened, and the power supply reliability is improved.

The application provides a kind of intelligent switch cabinet operation control system and method, including control unit, operating current acquisition module, soft start control unit, motor control unit, software anti-misoperation logic module, wherein, software anti-misoperation logic module is used to verify circuit breaker opening and closing state, electric chassis pose state, electric grounding knife opening and closing state and network cabinet door opening and closing state;Control unit is deployed in power monitoring system safety I area, and control unit is connected and interacted with remote host computer or sequential control host computer through communication interface, and communication interface supports the transmission of single task single command, combined task single command and combined task combined command, operating current acquisition module real-time acquisition motor operating current and wave recording, and wave recording data is uploaded to remote host computer or sequential control host computer for verification through communication interface.The application has low cost, with operating wave recording, soft start, multiple anti-misoperation and motor protection functions, to meet the requirements of "power monitoring system safety protection regulations" partition.

The application belongs to the field of vehicle-mounted refrigerators, and discloses a dual-temperature cooperative acquisition circuit, an intelligent temperature measurement method and a vehicle-mounted refrigerator, which comprise: a synchronous acquisition unit, which is used for synchronously acquiring temperature signals of at least two target regions of the vehicle-mounted refrigerator and outputting corresponding temperature analog signals; an anti-interference processing unit, which is connected with the output end of the synchronous acquisition unit and is used for filtering various interference signals in the vehicle-mounted environment; an adaptive signal conditioning unit, which is connected with the output end of the anti-interference processing unit and is used for adaptively amplifying, filtering and linearizing the temperature analog signals; a main control unit, which is connected with the output end of the adaptive signal conditioning unit and is used for digitizing the temperature signals, performing algorithm operation and logical control; and a wide-adaptive power supply unit, which is connected with the synchronous acquisition unit, the anti-interference processing unit, the adaptive signal conditioning unit and the main control unit and is used for providing a stable working voltage that is adapted to the vehicle-mounted power supply.

The utility model discloses a 700V direct current bus-based grid-connected and off-grid wind-light hydrogen storage coupling hydrogen production power supply system. The system comprises a photovoltaic power generation module, a wind power generation module, a hybrid energy storage module, a grid-connected module and a water electrolysis hydrogen production module. The photovoltaic power generation module and the wind power generation module are respectively connected to a 700V direct current bus through a DC / DC converter and an AC / DC rectifier, and power switch tubes in the DC / DC converter and the AC / DC rectifier all adopt SiC MOSFETs. When a power grid operates normally, if the electric energy supplied to the water electrolysis hydrogen production module by the wind and light power generation module is redundant, the redundant electric energy is stored in the hybrid energy storage module; and if the generating capacity of the wind power generation module and the photovoltaic power generation module is insufficient, the electric energy stored by the hybrid energy storage module is released to the water electrolysis hydrogen production module, so that efficient and stable operation of the water electrolysis hydrogen production module is ensured. When a power grid breaks down, the system operates in an off-network mode, and the wind and light power generation module and the hybrid energy storage module jointly provide electric energy needed by operation of the water electrolysis hydrogen production module.

The application relates to a power plant auxiliary power interconnection electrical device, which comprises a first generator and a first generator corresponding first machine end bus, the first generator is connected to a power grid bus through a first main transformer, a second generator and a second generator corresponding second machine end bus, the second generator is connected to the power grid bus through a second main transformer, an auxiliary power interconnection bus, the auxiliary power interconnection bus is connected with the first machine end bus through a first series reactor and connected with the second machine end bus through a second series reactor, and the auxiliary power interconnection bus is further connected with a transient voltage stability system, and the transient voltage stability system is used for providing reactive power support and voltage stability. Through the application, the problem that the steady state and transient stability of the auxiliary power system cannot be guaranteed is solved, the transient voltage stability system can provide real-time reactive power support and maintain the voltage stability of the auxiliary power system.

The invention provides an intelligent generator control method and device based on a dynamic load and electronic equipment, and belongs to the field of power grid fluctuation suppression, the method is applied to an energy management unit in a gas power generation system, and the gas power generation system further comprises a gas generator set, an energy storage converter, a super capacitor and a CT mutual inductor. The method comprises the following steps: counting power change times and a power change value of a load within a preset time length based on electrical parameters of a power grid side load; selecting a working mode as a constant power factor mode, a constant reactive power mode or an automatic adjustment mode based on the power change frequency and the power change value; and based on the operation state parameters of the super capacitor, controlling the total output power of the gas generator set in the three adjusting modes. According to the invention, stable power supply of the load can be maintained through adjustment of the super capacitor and the energy storage converter, the adjustment frequency of the gas generator set is reduced, and the power generation efficiency of the gas generator set is improved.

The application relates to a power generation control method and device based on the self power of an engineering emergency vehicle, and relates to the field of engineering emergency vehicles, which comprises a starting generator, acquires current parameters collected by a current acquisition module, finds corresponding electric appliance types according to the current parameters, finds standard currents corresponding to the electric appliance types according to the electric appliance types, acquires emergency vehicle signals collected by a signal receiving device, obtains the number of emergency vehicles according to the emergency vehicle signals, obtains the number of electric appliance types according to the electric appliance types, forms an access sequence according to the number of electric appliance types and the electric appliance types, maps the electric appliances to the power output interfaces of the generator according to the access sequence through a multi-loop power supply switching module to form a mapping relationship, and receives an access completion signal fed back by the generator; when the access completion signal is received, corresponding standard currents are sequentially output to the electric appliances through a current adjusting device according to the mapping relationship. The application has the effect of improving the electric safety of the engineering emergency vehicle.

The invention relates to the technical field of optical storage direct current integrated systems, in particular to a rapid fault diagnosis, positioning and self-healing control method and system for an optical storage direct current integrated system, and the method comprises the steps: extracting the characteristics of operation data, inputting a fault classification model, and outputting a fault type; according to the fault type, adopting a fault positioning method of topology analysis and impedance spectrum matching to obtain a positioning result of a fault point; and dynamically adjusting the system operation mode according to the fault type and the positioning result. According to the method, the trained fault identification model is utilized to perform rapid and automatic fault type identification on the operation data, and complex fault types which are difficult to distinguish by a traditional method and have similar or coupled characteristics can be identified; the combination of the topology analysis rapid range delineation and the impedance spectrum matching accurate fixed point greatly improves the positioning efficiency and precision, the dynamic self-healing control ensures that the system can rapidly recover key functions after a fault occurs, and the power supply reliability and toughness of the system are greatly improved.

The utility model provides a kind of circuit of automatic control computer power supply start, belong to computer power supply technical field, including power access module, power output module, backboard socket module, power access in position detection module, voltage division control module and triode switch module;Power access in position detection module is electrically connected with power access module by backboard socket module, the electric connection voltage division control module of power access in position detection module, voltage division control module is electrically connected with triode switch module by starting control bus, triode switch module is electrically connected backboard socket module, backboard socket module is electrically connected power output module.Power access in position detection module detects the in position condition of power access module, and exports detection signal, to utilize the conduction and cut-off of triode switch module dynamically control the power supply to electric computer, realizes the dynamic regulation and control to computer power supply work and standby state, greatly improves the power supply reliability to electric computer.

This invention relates to the field of energy management technology, and in particular to a method and apparatus for energy management and adaptive power consumption control of unmanned systems. The method acquires multi-source operating data and real-time load location, extracts target energy operating data, collects dynamic power consumption fluctuation data for the next cycle based on the initial power consumption allocation scheme, and optimizes and generates an updated power consumption scheme based on the target data to achieve dynamic adaptation. Based on the current energy storage status, target data, and load priority, it calculates the extreme power supply range and determines the target power-protected load set to ensure priority power supply to critical loads. When it is determined that the system is about to run out of energy, it intelligently generates a target load-cutting sequence by comprehensively considering real-time operating conditions, priorities, and energy storage status, and executes orderly graded power outages, improving energy utilization efficiency. Under extreme operating conditions, it can scientifically plan power protection and load-cutting strategies, effectively avoiding disorderly power outages, and significantly enhancing the power supply reliability, safety, and intelligence level of unmanned energy systems.

The application discloses a kind of network unmanned aerial vehicle inspection achievement automatic back transmission and defect identification method, it is related to power distribution network inspection technical field.The purpose is to solve the problems of low efficiency, fault response lag, data transmission without security and defect identification relying on artificial in traditional manual inspection.The method comprises: unmanned vehicle carries unmanned aerial vehicle and hangar drives to parking point, unmanned aerial vehicle takes off and carries out inspection and collects achievement data;After unmanned aerial vehicle returns, unmanned aerial vehicle platform processes and transmits achievement data to unmanned aerial vehicle management platform;Management platform uses AI image recognition technology to identify defects in data, generates identification results;Finally, management platform synchronizes identification results to power grid digital brain platform, and is associated with equipment operating state storage.The application realizes the full-process automation and intelligentization of distribution network inspection, greatly improves the inspection efficiency and the accuracy of data processing, optimizes the fault response mechanism, and provides strong support for the intelligent operation and maintenance of distribution network line.

This application provides an adaptive control method and system for a lead-acid battery charge-discharge switching circuit, relating to the field of adaptive control technology. The method determines the pre-trigger time for charge-discharge switching by measuring the duration of the mains input voltage exceeding the limit between adjacent power frequency cycles; determines the amount of stored charge in the bus capacitor before switching; and determines the power step that the discharge branch needs to bear at the moment of switching, further determining the conduction sequence of the power switching devices in the discharge branch, and causing the discharge branch to gradually accept load current according to the conduction sequence. The method controls the release of stored charge from the bus capacitor to the bus side and performs damping compensation for the transient voltage drop on the bus generated during the discharge branch's acceptance of load current, obtaining a damped recovery trajectory for the bus voltage. The bus voltage is then restored to the steady-state voltage level through the damped recovery trajectory, entering steady-state discharge control. This application can achieve dynamic and stable bus control during charge-discharge switching, thereby reducing bus voltage fluctuations at the moment of switching.

The invention relates to the technical field of power system operation optimization, and discloses a power grid power cut plan comprehensive optimization method and system for ensuring safety, supply and consumption, and the method comprises the steps: employing Latin hypercube sampling to generate a multi-fault scene set based on collected historical and real-time operation data; constructing a reinforcement learning environment model based on the multi-fault scene set; based on a reinforcement learning environment model, a multi-target reward function is calculated in all fault scenes, and corresponding reward values are generated by using power failure economic loss, safety constraint violation terms, new energy abandoned electricity quantity and operation cost of each scene and used for driving strategy advantage and disadvantage judgment of an intelligent agent in different scenes; and based on the reinforcement learning environment model and the multi-scene reward value, training the intelligent agent by using a reinforcement learning algorithm, so that the intelligent agent performs interactive learning in the multi-fault scene set, and finally, outputting a power-cut plan scheme meeting the requirements of ensuring safety, ensuring supply and ensuring consumption. The power grid toughness, the power supply reliability and the new energy consumption capability are improved.

The invention discloses an electrical safety management method and system based on line fault automatic identification, and relates to the technical field of electrical safety monitoring and fault diagnosis. The method comprises the following steps: S1, multi-source data acquisition; s2, data preprocessing and feature extraction; s3, constructing a fault identification model; s4, fault type identification; s5, fault positioning is carried out; s6, performing intelligent early warning and autonomous disposal; and S7, data archiving and model iteration. According to the invention, by fusing the multi-sensor data and the hybrid intelligent model, the full-state real-time monitoring and multi-type fault intelligent identification of the electrical circuit are realized, and the fault discovery and response speed is obviously improved; the recognition accuracy is high, and hidden faults which are difficult to detect by a traditional method can be found; a fault accurate positioning function is achieved, the maintenance time is greatly shortened, and the power supply reliability is improved; data-driven preventive maintenance is supported, and decision support is provided for electrical system optimization; the manual inspection cost is reduced, and the intelligent and automatic level of electrical safety management is improved.

The utility model relates to a train tail battery with a stable structure, which comprises a shell and a battery module, the shell is a cylinder which is composed of a bottom shell and an upper cover detachably connected to the bottom shell, the cross section of the cylinder is triangular, the cylinder is provided with an accommodating space matched with the battery module, the battery module is arranged in the accommodating space, and the battery module is arranged in the accommodating space. The battery module is of a triangular cylinder structure formed by arranging a plurality of cylindrical battery cells into a triangle, and a connecting piece connected with the battery module is arranged on the outer side face of the bottom of the shell. The battery cells of the train tail battery are arranged in a triangular shape, gaps among the battery cells are small, compared with rectangular or square arrangement, space is saved, the size of a battery shell can be reduced, space layout optimization of a train tail main machine is facilitated, and the battery cells arranged in the triangular shape are arranged in a convex-concave staggered mode and tightly attached to each other to form a resultant force supporting effect. The possibility that the train tail battery is impacted or vibrated to shake and shift in the using process is reduced, and the structural stability of the train tail battery is improved.

The invention discloses a risk assessment and optimization method based on an abnormal operation state of a low-voltage power distribution network, and relates to the field of risk assessment and optimization of the low-voltage power distribution network. The low-voltage power distribution network risk assessment model comprises a mathematical model unit, a deterministic three-phase power flow improved calculation unit, a source-load probability distribution unit and a Monte Carlo probability power flow calculation unit, and low-voltage power distribution network abnormal operation state assessment parameters are defined based on the low-voltage power distribution network risk assessment model. And configuring a risk weight coefficient for the evaluation parameters of the abnormal operation state of the low-voltage power distribution network to obtain a comprehensive risk, and performing evaluation optimization on the risk of the low-voltage power distribution network through a genetic algorithm based on the comprehensive risk Psys. By the adoption of the method, the risk that abnormal operation states such as overvoltage and three-phase unbalance degree out-of-limit happen to the low-voltage power distribution system in the high-permeability distributed new energy region is effectively reduced, and power flow distribution probability statistical data of all phases and the neutral line are obtained through quick and accurate calculation.

The invention discloses a flexible source-load-storage collaborative optimization scheduling method for electric vehicles, and particularly relates to the technical field of electric vehicles, and the method comprises the following steps: S1, constructing a source-load-storage medium voltage distribution network interaction model; s2, based on the interaction model, establishing a multi-objective optimization function which aims at minimizing the total operation cost of the power distribution network, maximizing the consumption rate of renewable energy sources and maximizing the user satisfaction degree of the electric vehicle; and S3, solving the multi-objective optimization function by adopting a random weight particle swarm optimization algorithm. According to the method, the adjustment flexibility and the power supply reliability of the power distribution network are remarkably enhanced, local consumption of renewable energy sources is effectively promoted, the overall low-carbon benefit of the system is improved, and the defect that a traditional algorithm is prone to falling into local optimum is overcome, so that a high-quality global approximate optimal solution can be quickly and stably obtained, and the method is suitable for large-scale popularization and application. And the dual requirements of engineering practice on calculation precision and efficiency are met.

This invention discloses a method for load transfer in a 10kV distribution network based on big data from the power grid, comprising the following steps: determining the type of load to be transferred by the current value of the load to be transferred; obtaining the steady-state load current I of the operating line in the D5000 system. x 66kV main transformer secondary side load current I m The load current to be transferred is I d This method uses numerical comparison to determine the type of load to be transferred: whether the line structure of the load to be transferred meets the load transfer conditions; whether the number of ring network lines and the operational status of the ring network switches can be determined to achieve electrical connection between the line to be transferred and the opposite line, thus determining whether the line structure of the load to be transferred meets the load transfer conditions; whether the opposite line of the receiving load has the load transfer capability; and finally, generating a load transfer scheme. This method can determine the optimal transfer scheme based on the operating status of the line to be transferred, achieving the goal of fast, accurate, economical, and scientific load transfer and restoration.

The invention discloses a linkage type neutral point automatic isolation switch which comprises a protection module, the protection module comprises an installation part and a shell part, and the installation part is installed at the top end and inside the shell part; the power supply module is based on a passive driving principle, is driven by secondary side voltage of a voltage transformer and is provided with a standby power supply unit, and an external power supply is not needed; the main control module is located in the protection module; the signal acquisition module is located on the side wall of the master control module, the signal acquisition module realizes accurate control through dual signal acquisition feedback, and automatic switching between PT neutral point grounding and isolation is realized through linkage between the STM32 master control module and an electric control isolation switch and a bistable spring driving switch of the execution module. And the traditional manual PT disconnection and reconnection operation is replaced.

The utility model relates to a drawing type wiring low-voltage cabinet, which comprises a cabinet body divided into a drawer chamber, a secondary cable chamber, a cable incoming and outgoing line chamber and a bus chamber, the secondary cable chamber is arranged on the right side of the drawer chamber, and the cable incoming and outgoing line chamber is arranged on the rear side of the drawer chamber and the secondary cable chamber. The bus chamber is arranged on the upper sides of the drawer chamber, the secondary cable chamber and the cable inlet and outlet chamber, a terminal strip capable of sliding back and forth is installed in the secondary cable chamber through a guide rail mechanism, the guide rail mechanism comprises guide pieces fixed on the cabinet body at intervals up and down, the guide pieces are provided with sliding pieces matched with the guide pieces, and the terminal strip is fixed at the front ends of the sliding pieces. A terminal side wire harness connected with the terminal strip is correspondingly fixed on the guide piece and the sliding piece through two fixing points, the terminal side wire harness between the two fixing points forms a U shape, and the length of the terminal side wire harness between the two fixing points is greater than or equal to the maximum sliding distance of the sliding piece relative to the guide piece. The LED lamp has the advantages of simple structure, convenience in maintenance and good heat dissipation effect.

The utility model relates to a stable power supply device for an airborne multispectral photoelectric system. The stable power supply device comprises an input filtering anti-reverse circuit, a peak surge suppression circuit, a DC-DC conversion circuit, a voltage acquisition reporting circuit and an output filtering circuit which are connected in sequence, the peak surge suppression circuit comprises a normal switching stage peak loop, an input power supply switching power-on loop and an ultrahigh peak power supply loop. The DC-DC conversion circuit comprises a first path of non-isolated output P1 and a second path of isolated output P2. According to the stable power supply device, on one hand, the dynamic response of the power supply is improved, the stability of the power supply is greatly improved, and meanwhile, the output precision and the anti-interference capability are improved.

The invention relates to the technical field of photovoltaic control, in particular to a photovoltaic control system based on a virtual load, which comprises a solar controller, a lithium battery energy storage subsystem, an inverter, an actual load connecting end and an external mains supply input end, and the inverter is internally provided with a programmable virtual load and is integrated with a power regulation module and a DC / AC conversion module. The system simulates the characteristics of a target load or an energy storage unit through a virtual load, combines the historical data of a memory module and a load learning strategy, rehearses and generates an optimal switching instruction before power supply switching, supports off-grid simulation and closed-loop correction, and improves the power supply continuity, safety and energy utilization efficiency.