707results about How to "Improve power supply reliability" patented technology

The invention belongs to the technical field of power prediction, and discloses a new energy power prediction method and system based on multi-source meteorological data fusion, and the method comprises the steps: obtaining meteorological data from different meteorological data sources in real time or at regular time through a data obtaining module; carrying out preliminary screening and preprocessing on the obtained data by utilizing a data processing module; the data fusion module is used for integrating meteorological data from different sources by adopting an advanced data fusion algorithm to eliminate data redundancy; a mathematical model or a machine learning model suitable for new energy power prediction is constructed by using the prediction model module based on meteorological data of multi-source fusion; and the result output and evaluation module is used for outputting the prediction result to a user in a visual form, and carrying out real-time or regular evaluation on the prediction result. The method has the characteristics of diversified data sources, advanced data fusion technology, flexible prediction model construction, high real-time performance and accuracy, wide application scenarios and the like.

The invention provides a modular power supply system configuration method and system for a micro-module machine room, and relates to the technical field of electric power, and the method comprises the steps: collecting power utilization state data and load distribution data of functional equipment in the micro-module machine room, building a power supply network topology model, dividing a power supply system into a first-stage load, a second-stage load and a third-stage load, an independent power supply loop and a data acquisition unit are respectively configured in the first-stage load, the second-stage load and the third-stage load; a power supply network topology model is updated according to the power utilization data acquired by the data acquisition unit, a reinforcement learning algorithm is adopted to generate an adaptive power distribution strategy, and a modular energy storage unit is arranged to provide a standby power supply for a primary load and a secondary load; and constructing a machine learning fault prediction model based on the power consumption data, and dynamically adjusting a power supply path and a power distribution scheme of a power supply loop.

The invention discloses a low-voltage power distribution area topology identification method and system based on clustering analysis and a graph theory, and relates to the technical field of low-voltage power distribution area topology classification. The system can accurately identify the topological structure of each partition through the combination of a clustering analysis model and a graph theory algorithm, and automatically calculate a topological characteristic coefficient Tp; therefore, the complex topological structure of the power distribution area can be classified and analyzed more carefully and comprehensively. According to a traditional method, accurate classification is often difficult when a complex branch structure is faced, and a topology recognition module ensures the accuracy of a classification result through a calculation mode of a graph theory. Through the feedback management module, when the power performance risk coefficient Lpjx of the partition exceeds a safety threshold R, a fault early warning signal can be sent out in time, abnormal nodes are automatically identified, faults are isolated, meanwhile, load transfer is executed, the power demand is rapidly transferred to the normally operating partition, and the power failure range and time are reduced.

The invention belongs to the technical field of transformer substation small animal driving, and particularly discloses a comprehensive small animal driving device and method.The comprehensive small animal driving device comprises a device shell, a driving module, a power supply module, a detection module and a control module, and the detection module is arranged on the device shell and used for judging whether small animals invade or not based on infrared detection; the detection module is arranged on the device shell and sends a detection signal to the control module, and the driving module is arranged on the device shell, is connected with the control module and is used for driving invading small animals from multiple aspects of vision, hearing, smell and touch; the power supply module is arranged on the device shell, connected with the driving module, the detection module and the control module and used for supplying power to all the modules. According to the comprehensive driving device and method for the small animals, multiple driving modes are adopted for cooperative operation, the small animals are driven from multiple angles and multiple aspects, and therefore the reliability of driving operation is guaranteed.

The invention relates to the technical field of electric energy storage, in particular to a planning and layout method and system for an energy storage scale and structure. The method comprises the following steps: acquiring original historical electrical load data; performing multi-scale load characteristic analysis according to the original historical electrical load data to generate load characteristic vector data; performing enterprise load mode matching on the load characteristic vector data to generate enterprise load fluctuation mode data; carrying out load demand expected value calculation on the enterprise load fluctuation mode data to generate multi-scene load demand prediction data; performing optimal energy storage scale adaptation interval processing according to the multi-scenario load demand prediction data to obtain refined energy storage scale interval data; and performing energy storage unit planning layout optimization according to the refined energy storage scale interval data to obtain optimal energy storage structure layout scheme data. According to the method, the optimal energy storage scale configuration is determined through multi-scale power load characteristic dynamic analysis, and the refined layout of the energy storage structure is realized.

The invention discloses a shielding layer current-based medium voltage cable early fault identification method. The method comprises the following steps of S1, obtaining monitoring data of a tail end shielding layer grounding current; s2, calculating an effective value and an instantaneous value of the grounding current of the tail end shielding layer; s3, whether fault early warning is triggered or not is detected, and if yes, a fault waveform is obtained; s4, calculating the fault duration and the number of fault continuous sampling points, and judging whether the fault is an early fault or not; s5, judging whether the early fault section is a fault downstream section or a non-trunk fault section; s6, calculating a cross correlation function of the tail end shielding layer current and the zero sequence current; and S7, distinguishing a fault section and a fault upstream section according to the optimal delay. According to the invention, the accuracy and efficiency of early fault identification of the medium-voltage cable are improved, and the transformation of protection from post protection to pre-warning is promoted.

The invention discloses an optical storage and charging cooperative off-network control method based on an energy router, and relates to the technical field of optical storage and charging cooperative control, and the method comprises the steps: collecting energy router grid-connected point off-network control data and environmental parameters in real time, carrying out the preprocessing of the collected data, and storing the processed data into a time sequence database; constructing a multi-level prediction model to predict load, power generation and power grid condition data, and dynamically updating system operation parameters according to a prediction result; according to the off-network control data, performing intelligent off-network pre-judgment to switch a system operation mode, and performing off-network operation optimization control; and continuously monitoring the state of the power grid, recovering grid-connected operation after the bus voltage is stable, and carrying out optical storage and charging collaborative off-grid control based on the energy router. According to the invention, long-time off-grid operation of the DC micro-grid is realized, and the power supply reliability and the equipment safety of off-grid operation are improved.

The invention relates to the technical field of power system fault monitoring, in particular to a power system fault monitoring and active control system and method.The method includes the steps that a three-dimensional model of a power distribution network in a target area is constructed, the power distribution network is divided in a refined mode, power parameters of all segments are analyzed in real time, and the operation fluctuation value of the power distribution network is calculated; the method comprises the following steps: determining whether abnormity exists or not, identifying and determining an abnormal segment when the abnormity of the power distribution network is detected, then analyzing the influence degree of the abnormal segment and carrying out grade division to evaluate the potential threat of the fault to the power distribution network, automatically matching a corresponding fault processing channel according to the grade of the influence degree of the abnormal segment, and executing corresponding control measures. Therefore, the fault source can be accurately identified, the control strategy is actively adjusted according to the actual influence condition of the fault, the influence of the fault on the power system is effectively reduced, and the stability and reliability of the system are improved.

The invention relates to the technical field of power maintenance, and discloses a power distribution network-oriented single-phase earth fault AI comprehensive research and judgment system, which integrates a power distribution network monitoring module, a fault diagnosis equipment module and an AI comprehensive research and judgment module. The system can accurately judge the type, position and severity of the single-phase earth fault by monitoring and collecting all-dimensional data of the power distribution network in real time and combining intelligent analysis of the AI comprehensive research and judgment module, and the accuracy of fault positioning and isolation is remarkably improved. The AI comprehensive research and judgment module adopts a Markov decision process for modeling, and a deep reinforcement learning algorithm is used for training a research and judgment model, so that rapid fault positioning, isolation and power supply recovery are realized, the fault processing efficiency and the power supply recovery speed are effectively improved, and the power failure time and the influence on users are reduced.

The invention relates to the technical field of distribution network planning, and provides a distribution network planning index prediction method based on artificial intelligence, which combines three models to establish a multi-level model, and significantly improves the accuracy and efficiency of distribution network planning index prediction. The main trend and influence factors of distribution network planning are identified by using a multi-layer sensor (MLP), and the nonlinear modeling capability is provided. The time dependence and periodic change of data are captured through a time sequence model ARIMA, and the sensitivity to short-term fluctuation is ensured. A long short-term memory (LSTM) network captures a complex non-linear relationship and long-term dependence, and the prediction precision is further improved. And finally, through a Blending technology, weighted summation is carried out on prediction results of the models, so that maximum output of model advantages is realized, and the accuracy of a fusion result is optimized. Model parameters are dynamically adjusted through a real-time data flow mechanism and an adaptive learning algorithm. Therefore, the prediction is real-time, the method can adapt to continuously changing market and environment conditions, and high prediction precision is kept.

The invention provides an energy storage cooperative networking control method based on self-provided photovoltaic and a related device. The method comprises the following steps: evaluating power information corresponding to a maximum power point of a photovoltaic array under a current operation condition so as to estimate the maximum power of the photovoltaic array; obtaining an estimated self-reserve rate according to the maximum power and the output power of the photovoltaic array, obtaining a self-reserve rate error according to the estimated self-reserve rate and the self-reserve rate of the target, and adjusting voltage tracking convergence by using the self-reserve rate error, the operation point corresponding to the self-reserve rate is converged; a transient rotor inertia power control strategy is designed by using a synchronous mechanism network-based rotor inertia power ring, so that a photovoltaic array with energy storage having an auxiliary self-standby droop adjustment characteristic participates in network construction. According to the invention, the transformation of applied large-scale photovoltaic can be effectively avoided, the flexible access of energy storage is realized, and the power supply reliability of the remote rural power grid with high self-sufficiency rate is improved.

The utility model discloses a zero interruption dual power supply fast switching device, comprising a dual power supply switch, a power electronic assembly, an output switch QF and a load which are connected in sequence, the power electronic assembly comprises an electronic bypass unit VT, a mechanical bypass contactor KM, an isolation transformer TM, a bidirectional converter CU and a super capacitor energy storage unit CAP, a contact S1 in the dual-power switch is connected with a main power supply, a contact S2 is connected with a standby power supply, a mechanical bypass contactor KM is connected with an electronic bypass unit VT in parallel, an isolation transformer TM is connected to the output end of the electronic bypass unit VT, and the two ends of a bidirectional converter CU are connected with the isolation transformer TM and a super capacitor energy storage unit CAP respectively. According to the device, the dual-power-supply change-over switch is matched with the power electronic component, so that rapid switching of the dual-power-supply switch is realized, the problem of power supply interruption in the switching process is solved, and the reliability of power supply is improved; and meanwhile, few energy storage elements are used, and the cost is low.

The invention belongs to the technical field of satellites, and discloses a centralized photovoltaic power station capacity prediction method and system based on a satellite image and topographic data, and the method comprises the steps: carrying out the recognition of a Sentinel remote sensing image, obtaining a photovoltaic distribution position after photovoltaic automatic recognition according to the spectral characteristics, including the mean value of each spectral band, NDVI, NDWI and other indexes, and carrying out the prediction of the capacity of a photovoltaic power station. Meanwhile, elevation data provided by DEM images are integrated to calculate a topographic slope value, then influence factors such as photovoltaic image area, inclination angle, direction angle and installation spacing are calculated by using parameters such as image resolution and geographic latitude, and finally, parameters such as known photovoltaic scale and photovoltaic materials are combined to obtain a photovoltaic power generation system. And a prediction model of the capacity of the centralized photovoltaic power station is constructed with the installation capacity of a small number of known photovoltaic power stations, so that accurate prediction from the image area of the photovoltaic power station identified by the satellite image to the actual installation capacity is realized. The method comprehensively considers the influence of the direction angle, the inclination angle, the installation spacing and the like of the photovoltaic power station on the actual installation capacity, is suitable for mountainous and hilly areas with complex terrains, improves the problem of inaccuracy of a method for estimating the capacity based on the projection area, and provides a scientific basis for the capacity evaluation of the photovoltaic power station.

The invention discloses an island micro-grid reliability evaluation method and device considering a hybrid energy storage system, and the method comprises the steps: obtaining the operation parameters of an island micro-grid energy storage system, considering the uncertainty of load output, and the charge and discharge and capacity constraints of the energy storage system, building a load output model and an energy storage charge and discharge model, state parameters of the hybrid energy storage system are obtained, a multi-state model of the hybrid energy storage system is established, the state probability is solved, and a reliability index of the hybrid energy storage system is obtained; establishing a minimum load reduction strategy model on the basis of considering the load importance; and according to the hybrid energy storage system multi-state model, the energy storage charging and discharging model, the load output model and the minimum load reduction strategy model, constructing an island photovoltaic micro-grid reliability evaluation program containing the hybrid energy storage system, and outputting a reliability index of the hybrid energy storage system. And reliability evaluation can be carried out on the island photovoltaic micro-grid system containing the wind and light storage.

The invention provides an overhead transmission line fault positioning method based on double-end induction traveling waves. The method comprises the following steps: extracting non-fault phase induction traveling waves of a transmission line; judging the wave head of the non-fault phase induction traveling wave and determining the starting moment of the wave head; calculating traveling wave head time difference on two sides of the fault point based on the wave head starting time; the traveling wave propagation speed is calculated based on the line distance between the two adjacent traveling wave acquisition devices and the traveling wave head time difference acquired by the two adjacent traveling wave acquisition devices, and the position of the fault point is determined based on the traveling wave propagation speed, the traveling wave head time difference on the two sides of the fault point and the distance between the traveling wave acquisition devices on the two sides of the fault point. Compared with a traditional method, the method can accurately calculate the fault position of the power transmission line under the conditions that a fault phase traveling wave acquisition device is damaged and fault traveling waves are missed in acquisition, reduces the troubleshooting time, and improves the operation and maintenance level of the line and the power supply reliability.

The invention discloses a fault upstream and downstream judgment method based on an instantaneous symmetric component method. The fault upstream and downstream judgment method comprises the following steps: S1, monitoring current data of each node of a power distribution network in real time; s2, calculating an instantaneous positive sequence current and an instantaneous negative sequence current of the real-time data by adopting an improved instantaneous symmetric component method; s3, performing primary difference on the instantaneous positive-sequence current and the instantaneous negative-sequence current respectively; s4, comparing the primary differential value of the instantaneous negative-sequence current with a set threshold value, and judging whether the directions of the instantaneous positive-sequence current and the instantaneous negative-sequence current are the same or not; and S5, performing fault section judgment by combining the direction of the instantaneous positive and negative sequence current and the topological structure of the power distribution network. The improved instantaneous symmetric component method is used to obtain the instantaneous positive-sequence current and the instantaneous negative-sequence current, the directions of the instantaneous positive-sequence current and the instantaneous negative-sequence current are analyzed, the fault section can be quickly and accurately positioned, and the cost is reduced.

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

The invention relates to the technical field of source network load storage multi-objective optimization scheduling, in particular to a source load storage scheduling method and device considering energy storage life, electronic equipment and a storage medium. A particle swarm optimization algorithm adopting sine adaptive inertia weight is provided, scheduling plans of all units can be arranged, preference solutions approaching optimal values of all targets can be found more efficiently, various resources in the power distribution network can be utilized more fully, and the optimization effect is the best. According to the method, the optimal scheduling model of the active power distribution network is comprehensively established, indexes such as maintenance resource consumption of the power distribution network, energy storage life loss, scheduling resource consumption of a load aggregator and network loss of the power distribution network are analyzed, energy storage resource calling resource consumption can be greatly reduced, the service life of the system is prolonged, and the system performance is improved. And the optimization scheduling efficiency of the power distribution network is effectively improved.

The invention provides an active intervention type arc-extinguishing and resonance-eliminating device and method, and relates to the technical field of power system safety control, the device comprises an intelligent grounding module, the intelligent grounding module comprises a three-phase line led out from a system bus, and the three-phase line is grounded through a secondary side of a voltage transformer; a three-phase contactor and an impedance grounding transformer are sequentially connected in series between the system bus and the grounding end; when overvoltage and line resonance are caused by a non-single-phase earth fault of the power distribution network system, the PTC resonance elimination module is used for actively carrying out resonance suppression; the monitoring module is used for monitoring the working state of the device and generating state information; the processing module is used for processing the state information; and the alarm module performs a corresponding alarm action. According to the active intervention type arc and resonance elimination device and the matched fault treatment method thereof, innovative application of the intelligent grounding module and the PTC resonance elimination module is combined, and a comprehensive solution with high flexibility and self-adaptive capacity is formed.

The invention relates to an energy storage valve sub-module and an operation method thereof, an energy storage valve device, an energy storage system, a battery bus connecting a battery module and a direct current support capacitor, and a bus power supply module which is further connected to a control module. The load power supply module can take energy from at least one of the DC support capacitor, the battery bus and the battery module, and finally power supply to the control module is realized through the bus power supply module and the load power supply module. Through the scheme, the control module can be switched to supply power through the bus power supply module under the condition that the load power supply module has a power supply fault, or the control module can be switched to supply power through the load power supply module under the condition that the bus power supply module has a power supply fault, namely, redundant power supply of the control module is realized; therefore, the problem that the energy storage system is stopped due to power failure of the control module of the energy storage valve sub-module is solved.

The invention discloses an automatic fault handling cooperative control method and system, and relates to the technical field of power distribution network scheduling and fault management, and the method comprises the steps: generating a fault log in a distribution network OMS system, or enabling a dispatcher to manually add a log in an OCS system; transmitting the log to an OCS (Online Charging System) of the local and municipal bureau, and generating a programmed operation instruction according to the log; the method comprises the following steps: receiving a programmed instruction in a provincial distribution network OMS system, executing triple review, and then automatically associating the instruction with a fault log work order; arranging according to task operation steps and automatically executing in sequence; and in the task execution process, the operation state is pushed to the field end and the scheduling end in real time, and abnormal information is acquired and processed. The method supports programmed cooperative control, equipment state automatic verification, work order automatic execution and real-time monitoring, distribution network scheduling production efficiency is improved, power grid risks are reduced, power supply reliability is improved, and dispatchers are liberated from heavy instruction issuing.

The invention provides a mechanical characteristic tester suitable for a 10kV ring main unit. The mechanical characteristic tester comprises a power supply unit, a data processing unit, a display unit, a voltage and current acquisition unit and a sensor unit, the equipment supplies power to each functional unit through the power supply unit, and acquires electrical and mechanical parameters in the switching operation process of the ring main unit through the voltage and current acquisition unit and the sensor unit. The tester is connected with the DTU device and monitors the voltage and current of the opening, closing and energy storage loop coil and the angle, displacement and speed of the switch in real time, the data processing unit analyzes the voltage and current, and the angle, displacement and speed of the switch, and the display unit displays a diagnosis result so as to evaluate the mechanical characteristics of the ring main unit.

The invention relates to the technical field of unit control, in particular to a control method, system and equipment based on lithium battery energy storage and a medium, and the method comprises the steps: obtaining power grid characteristic parameters, and determining a target transfer function expected to be realized; constructing a power grid frequency response model based on lithium battery energy storage, and solving a target transfer function according to the power grid frequency response model under the condition that a set power grid system frequency response index and frequency adjustment time are used as constraint conditions; deducing a frequency modulation transfer function of the energy storage system according to the target transfer function and the synchronous machine transfer function; and obtaining a control instruction of the energy storage system by using the transfer function, and responding to the power grid according to the control instruction. The method effectively solves the problems of stability and reliability of the lithium battery energy storage system in control.

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 relates to the field of power system monitoring and management, and particularly discloses an intelligent power monitoring and management system, which evaluates the operation performance of a power supply and distribution system in various power supply modes by acquiring operation information of the power supply and distribution system in a mains supply mode, an uninterruptible power supply mode and an emergency generator power supply mode in a data center. Potential fault hidden dangers of various power supply modes of the power supply and distribution system can be found in time, and maintenance measures are taken in advance; the action duration, the voltage transient amplitude, the frequency transient amplitude and the switching success rate of switching between the power supply modes of the power supply and distribution system of the data center are collected, the performance of switching between the power supply modes of the power supply and distribution system is evaluated, then it is ensured that the power supply and distribution system can be rapidly and stably switched under different power supply conditions, and the continuity of power supply is guaranteed; the performance health condition of the power supply and distribution system is comprehensively evaluated by combining the independent operation and coordinated operation performance of the power supply and distribution system, so that the reliable operation of the power supply and distribution system is ensured.

The utility model provides a high-capacity mobile energy storage power distribution vehicle which comprises a second-class chassis, a mute type compartment is arranged on the second-class chassis, and the mute type compartment is sequentially provided with a fire-fighting cabin, a battery cabin, an equipment cabin and a cable cabin. A battery cabinet is arranged in the battery compartment, a battery pack is placed on the battery cabinet, an electric control cabinet, a charging pile and a charging gun are arranged in the equipment compartment, and the charging pile is electrically connected with the battery pack and used for charging an electric vehicle; a power input cabin is arranged on the right skirt edge of the second-class chassis and provided with a mains supply connector. The energy storage power distribution vehicle has the characteristics of millisecond-level access, zero flicker of power supply, silence, environmental protection, flexibility, large energy storage capacity and the like, when accidents such as power failure occur, the energy storage power distribution vehicle can respond in millisecond and timely supply power to the outside in emergency, the charging pile is arranged, the liquid cooling over-charging and quick charging functions can be realized by the charging pile, and emergency guarantee is provided for the electric vehicle.

The invention discloses a power distribution network abnormal operation mode identification method, system and device based on real-time topology analysis and a storage medium, and the method comprises the steps: abnormal transfer identification: retrieving an interconnection switch in a closed state, analyzing the power supply and breaking point information of the interconnection switch in combination with real-time topology, studying and judging to generate an abnormal transfer event, and giving an alarm; analyzing a load transfer amount and a transfer recovery strategy; abnormal breaking identification: retrieving a switch in a breaking state, analyzing power supply states of nodes on two sides of a target switch in combination with real-time topology, studying and judging to generate an abnormal breaking event and giving an alarm, and analyzing a power loss range and a power failure recovery strategy; and abnormal loop closing identification: analyzing whole network power supply point information in combination with real-time topology, searching loop closing points downwards for power supply points in a loop closing state, studying and judging to generate an abnormal loop closing event, and giving an alarm. The method fully depends on real-time topology and state information of equipment in a power distribution automation system, accurately locates an abnormal operation mode and gives an alarm prompt, thereby improving power supply safety and reliability.

The embodiment of the invention discloses a medium-voltage line fault positioning method, device and system. The medium-voltage line fault positioning method comprises the following steps: acquiring a node state of a line monitoring node sent by each node monitoring device; wherein the node monitoring device is arranged in a distribution network line, and the node monitoring device is used for acquiring voltage and current of a line monitoring node, and determining impedance magnitude and impedance angle of the line monitoring node according to the voltage and current of the line monitoring node; determining the node state of the line monitoring node according to the impedance size and the impedance angle of the line monitoring node; and marking the node state of each line monitoring node in the wiring topological graph, and determining a line fault section according to a marking result. The method has the advantages of being accurate in fault positioning, small in calculation amount and capable of adapting to various forms of complex power grids.

The invention provides a distribution network line fault detection method and system, electronic equipment and a storage medium. The method comprises the following steps: constructing a fault model library for a distribution network line; acquiring real-time magnetic field variable data of the distribution network line and performing data preprocessing; performing comparative analysis based on the real-time magnetic field variable data after data preprocessing through a fault model library to obtain a comparison result; and performing fault diagnosis on the distribution network line based on the comparison result to obtain a fault diagnosis result. According to the distribution network line fault detection scheme provided by the invention, the operation efficiency and safety of a distribution network can be remarkably improved, the unplanned power failure time is reduced, the service life of equipment is prolonged, the maintenance cost is reduced, the maintenance plan is optimized, the power supply reliability is improved, and the development of an intelligent power grid is promoted.

The utility model belongs to the technical field of pole-mounted circuit breakers, and relates to an external capacitor electricity-taking type deep fusion pole-mounted circuit breaker, which is characterized in that adapter brackets are arranged on two sides of a pole-mounted circuit breaker body in the length direction, and capacitor electricity-taking devices are arranged above the adapter brackets; an outer wire conducting rod on the capacitor electricity taking device wire outlet side of the capacitor electricity taking device is connected with one end of a connecting copper bar through a nut, the other end of the connecting copper bar is connected with an upper wire outlet side copper bar terminal through a first bolt, the upper wire outlet side copper bar terminal is installed on a solid-sealed polar pole conducting rod of the solid-sealed polar pole through a second bolt, and the connecting copper bar is of a bent structure. The secondary wiring side of the capacitor power taking device is provided with a power taking device end three-core aviation plug, one side of the pole-mounted circuit breaker body is provided with a body end three-core aviation plug, and the body end three-core aviation plug is connected with the power taking device end three-core aviation plug through an aviation socket and a plug. The pole-mounted circuit breaker is simple to process and low in cost, the reject ratio of finished products can be reduced, and the accident that the pole-mounted circuit breaker is burnt by high temperature is avoided.