1765 results about "Distribution transformer" patented technology

The invention discloses a distribution transformer fault diagnosis method based on full-band multi-modal data fusion. The method comprises the following steps: collecting different feature maps of a transformer; performing feature extraction and weighted summation on the collected different feature maps to obtain a multi-source fusion feature vector; performing data preprocessing on the multi-source fusion feature vector, and performing normalization processing after data preprocessing; training an improved probabilistic neural network by using the normalized multi-source fusion features; optimizing the polynomial order of the trained improved probabilistic neural network by adopting an improved parrot optimization algorithm; and carrying out transformer fault diagnosis by adopting the optimized improved probabilistic neural network. According to the method, the improved parrot-shaped optimization algorithm is adopted, the foraging behavior of the parrot-shaped algorithm is simulated, the polynomial order of the improved probabilistic neural network is optimized by effectively combining global search and local search strategies, and the accuracy of transformer data fusion diagnosis and the generalization ability of the probabilistic neural network are improved.

The invention provides a photovoltaic adjustment method, device and equipment and a storage medium, and the method comprises the steps: carrying out the real-time monitoring of the voltage level of a transformer area user and the reverse load rate of a distribution transformer, and obtaining the triggering signals of voltage overrun and reverse heavy overload; obtaining an execution sequence of overvoltage treatment or reverse heavy overload treatment according to the trigger signal; performing dynamic adjustment calculation to obtain a power reduction instruction; executing the power reduction instruction, and measuring and comparing the adjusted system parameters to obtain a judgment result; according to a judgment result, performing cycle control on an adjusting process to obtain a final stable state or a power complete limiting state; according to the method, intelligent decision making can be carried out according to real-time monitoring data, safe and stable operation of a power grid is guaranteed, and the utilization rate of photovoltaic power generation is improved to the maximum extent.

The invention discloses a precise positioning method for a leakage fault source of a low-voltage distribution network, which belongs to the technical field of power system fault diagnosis and comprises the following steps: acquiring and calculating the voltage unbalance degree and the zero-sequence current value at a total outgoing line of a distribution transformer, generating a primary leakage trigger signal based on a voltage safety threshold and a current safety threshold, and determining the leakage fault source of the low-voltage distribution network. Injecting a characteristic signal with a preset frequency into the line, monitoring the response in the zero sequence loop, and calculating and generating a reference fault path impedance spectrum; and according to the switch topology of the line, sequential opening operation and closing operation are executed to calculate a real-time fault path impedance spectrum, whether impedance spectrum jump exists is judged, a fault branch indication signal is identified and generated, multi-source synchronous data is used for verification, and final fault positioning information is output. Impedance spectrum analysis is carried out by injecting characteristic signals, differential comparison is carried out by combining intelligent switch sequential operation, multi-source synchronous data is utilized to carry out multi-evidence chain verification, and high-precision and high-reliability positioning of an electric leakage fault source can be realized.

The invention discloses a distribution transformer monitoring system and method, and relates to the technical field of electric power intelligent monitoring, and the method comprises the steps: obtaining the three-dimensional temperature gradient field distribution and mechanical stress distribution of a distribution transformer based on a standardized multi-source data set, and outputting a comprehensive field matrix through a field coupling analysis method; performing spatial analysis on the comprehensive field matrix by adopting spatial hot spot analysis, identifying and marking temperature and mechanical stress abnormal areas, performing spatial aggregation and noise filtering through an OPTICS density clustering algorithm, and outputting abnormal feature vectors; inputting the abnormal feature vector into a pre-trained intelligent diagnosis model, outputting a comprehensive fault risk score and performing preliminary diagnosis; searching fault data in a historical case library based on the preliminary diagnosis result for comparison verification, and optimizing the preliminary diagnosis result through a machine learning algorithm to generate a final diagnosis result; according to the method, a field coupling analysis method is adopted to establish a heat-force bidirectional action model, and the spatial distribution characteristics of the temperature gradient and the stress tensor are accurately reflected.

The invention relates to the technical field of power system regulation and control, in particular to a mutual aid regulation and control method and system for multiple power distribution transformer areas considering capacity margin, and the multiple power distribution transformer areas comprise N low-load power distribution transformer areas and M high-load power distribution transformer areas which are connected through N + M interconnection devices; the load rate of the low-load power distribution area is less than or equal to a first load rate threshold, and the load rate of the high-load power distribution area is greater than a second load rate threshold; the regulation and control method comprises the following steps: constructing a comprehensive constraint condition based on an economic operation constraint condition and a mutual aid capacity margin constraint condition of a power distribution area; constructing a multi-objective function based on the power distribution area loss objective function and the economic benefit objective function; building a target optimization model through a comprehensive constraint condition and a multi-target function; and obtaining an optimal power distribution scheme based on the target optimization model, and performing hierarchical cooperative control execution. Through the regulation and control method and system, the problem of insufficient load sensitivity can be effectively solved.

Embodiments of this invention discloses a split-phase output power adjustment system, adjustment method, and storage medium in a low voltage transformer area. The system includes adjustment power supplies, split-phase power adjustment modules, sub-controllers, a main controller. The adjustment power supplies connected to the split-phase power adjustment modules, and total power P of the adjustment power supplies complying with a relationship as follows: P=Pt=PG1+PG2+ . . . . PGn; wherein Pt is power required to comply with three-phase current unbalance adjustment of a distribution transformer, PG1, PG2, . . . PGn is power generated by each of the adjustment power supplies to compensate three-phase current unbalance in a transformer area; wherein the split-phase power adjustment modules are connected to lines of three phases A, B, and C and a neutral line N in the transformer area; wherein the sub-controllers are connected to the adjustment power supplies, and the sub-controllers communicate with the main controller to control power generated by each of the adjustment power supplies, so as to compensate the unbalanced three-phase current in the transformer area. Coordinated adjustment of multiple distributed power supplies realizes precise control of three-phase imbalance in the transformer area, which reduces line loss and improves power quality.

The invention relates to the technical field of power distribution network risk early warning, in particular to a power distribution network abnormal risk early warning method based on a multi-mode space-time large model. According to the method, a mapping relation between multi-dimensional influence factors such as a source load space-time matching characteristic, voltage sensitivity, a net load peak value, a power distribution network topological structure and meteorological data and a new energy power distribution network abnormal risk is deeply mined based on a Lama large model; and respectively constructing independent optimization branches of power distribution network node voltage out-of-limit prediction and transformer area distribution transformer weight and overload prediction, and balancing a synchronous optimization target of prediction of different abnormal risk events through a multi-task weighted loss function. The method comprises the following steps: aligning text information and spatio-temporal information of historical marking abnormal risks of a new energy power distribution network by adopting a spatio-temporal instruction fine tuning model, dynamically adjusting model parameters, and generating an abnormal risk auxiliary prediction threshold in combination with a risk judgment threshold; therefore, occurrence moments and positions of abnormal risks such as node voltage out-of-limit of the new energy power distribution network and heavy and overload of the distribution transformer in the transformer area can be accurately predicted.

The invention relates to the related technical field of distribution transformer insulation aging, in particular to a frequency domain diagnosis method, system and device for distribution transformer insulation aging and a medium, and the method comprises the steps: carrying out the frequency response test of a to-be-tested transformer, and obtaining a first frequency response curve; performing a frequency response simulation test on a transformer equivalent circuit model pre-constructed based on the to-be-tested transformer to obtain a second frequency response curve; constructing a target function based on the deviation of the first frequency response curve and the second frequency response curve; taking element parameters in the equivalent circuit model of the transformer as position vectors, taking the objective function as a fitness function, and adopting a multi-objective particle swarm algorithm to solve the element parameters to obtain optimal values of the element parameters; respectively comparing the optimal values of the element parameters with corresponding normal values to obtain insulation aging degrees; according to the method, the insulation aging degree can be obtained by comparing the element parameters obtained through optimization with the normal unaged element parameters.

The invention discloses a distribution transformer state evaluation method, system and device and a storage medium, and the method comprises the steps: obtaining current and voltage long sequence data through high-frequency sampling, and forming a high-quality data set through expert labeling; signal preprocessing is realized by adopting dual-channel adaptive wavelet packet denoising and cross-correlation sinchinger interpolation phase correction; constructing an asymmetric convolution pyramid to extract current high-frequency and voltage low-frequency multi-scale features, and performing cross-modal fusion by using compressed multi-head attention and a channel-space double-gating mechanism; dynamic random depth regularization is introduced, and a time domain loss function in a fault sensitive period is focused, so that high-accuracy and low-delay real-time state evaluation is realized; the capacity of capturing and recognizing early weak fault features of the distribution transformer in a complex operation environment is remarkably enhanced, and therefore more sensitive and more accurate state early warning is achieved.

The invention relates to the technical field of power grid deicing, in particular to an alternating current short circuit ice melting control method and an ice melting distribution transformer. The invention discloses a distribution transformer with voltage reduction and ice melting dual functions, an ice melting control system and a control method thereof. The transformer is provided with two groups of low-voltage output ends which are respectively used for power distribution, power supply and ice melting operation; the ice melting control system comprises a local intelligent control box and a far-end communication control box, and adopts a deep reinforcement learning model to calculate an optimal ice melting power gear and ice melting time; according to the control method, environment parameters and equipment parameters are obtained, cooperative control of the boundary switch, the ice melting switch, the protection switch and the short circuit switch is combined, and accurate adjustment of the ice melting process is achieved. The system realizes a one-key ice melting function, has the characteristics of simple operation, high ice melting efficiency, remote control and the like, remarkably improves the intelligent level, safety and reliability of power grid ice melting operation, and provides an innovative solution for anti-ice management of a power system.

The invention relates to a distributed photovoltaic transformer area metering data abnormity tracing method, belongs to the field of intelligent power distribution networks, and solves the problem of low metering abnormity user positioning efficiency caused by topological information loss of a low-voltage photovoltaic transformer area. Comprising the following steps: acquiring electrical data of a distribution transformer and each user when a distributed photovoltaic transformer area has no photovoltaic output at night, and constructing a transformer area trunk line approximate topology; constructing an inter-node final adjacency matrix between nodes on the basis of the acquired voltage data of each user in the afternoon photovoltaic high output time period of the transformer area; clustering based on the final adjacency matrix among the nodes to divide the users into a plurality of user clusters; constructing a cluster power curve for each user cluster, and calculating the fluctuation consistency between the voltage of each user in the cluster and the cluster power curve of the cluster to which the user belongs based on the approximate topology of the main line of the transformer area so as to identify a suspected abnormal cluster; and performing node-level identification on the suspected abnormal cluster to obtain an abnormal metering user. Automatic traceability and accurate positioning of abnormal measurement data are realized.

The invention relates to a self-adaptive data acquisition method and system for an intelligent distribution transformer monitoring unit, and the method comprises the steps: monitoring a plurality of operation parameters in a power distribution network in real time through the intelligent distribution transformer monitoring unit; classifying various monitored operation parameters into conventional monitoring data and abnormal monitoring data according to the operation state of the power distribution network, analyzing the current state of the power distribution network based on the real-time monitoring data, and judging whether the power distribution network is in a normal, load or abnormal state; constructing a distribution transformer monitoring prediction model for identifying the operation state of the power distribution network, predicting potential faults or abnormal conditions, and determining the frequency and type of data acquisition according to the prediction result; under the normal operation state of the power distribution network, various operation parameters in the power distribution network are acquired by adopting low-frequency data; when the load change of the power distribution network is large or a fault is about to occur, the data acquisition frequency is improved; when a fault or abnormity occurs, the highest-frequency data acquisition mode is started immediately, and detailed power distribution network data are collected in real time.

The invention relates to the field of power failure fault judgment, in particular to a multi-dimensional power failure accurate studying and judging method. The method comprises the following steps: performing semantic association analysis on a fault repair work order, manually issued power failure information, distribution transformer terminal power failure event data, terminal offline data, line branch switch data, current section curve data and 10kV line fault signal data by adopting an artificial intelligence technology based on deep learning, and performing information cross query verification based on multi-source data; and the type of the power failure is intelligently judged. Therefore, the accuracy and efficiency of power failure fault judgment can be effectively improved, the workload of related personnel is reduced, and more powerful technical support is provided for marketing customer service.

The invention discloses a column type distribution transformer winding abnormity detection system and detection method. The detection system comprises a frequency response detection instrument, a signal coupling assembly, an impedance matching module and a data processing module. The frequency response detection instrument is used for outputting a frequency sweep excitation signal and collecting a winding response signal; the signal coupling assembly is used for isolating power frequency voltage and filtering low-frequency interference; the impedance matching module is used for adjusting output impedance and input impedance to realize matching with electrical characteristics of different windings; and the data processing module is used for constructing an equivalent detection loop model, completing frequency response simulation calculation and carrying out frequency domain analysis and anomaly identification on an actually measured response curve. According to the invention, electrified state diagnosis of distribution transformer winding structure abnormity (such as deformation and loosening) can be realized.

The invention discloses a transformer flexible capacity expansion method and system based on historical operation data. The method comprises the steps that the electricity consumption of subordinate load equipment of a distribution transformer is predicted based on the historical operation data; predicting the generating capacity of subordinate photovoltaic power generation equipment of the distribution transformer based on the historical operation data; calculating the residual capacity according to the rated capacity of the distribution transformer, the total load amount and the total photovoltaic grid-connected amount; when the residual capacity is insufficient, the energy storage equipment is controlled to discharge or the flexible interconnection device is used for mutual assistance; and when the residual capacity is surplus, controlling the energy storage equipment to charge or supply power to the adjacent transformer. According to the invention, the low-voltage flexible interconnection device is installed between the two transformers, the peak time of the superposed transformer load is predicted and analyzed according to the transformer load and the historical data of the operation of each device, the edge side energy management strategy of demand consideration is synthesized, and the efficient allocation and transfer of power resources are realized through the flexible mutual aid technology. Therefore, the power utilization requirement of flexible capacity expansion of the transformer area is met.

The invention provides a self-adaptive distribution transformer for an active power distribution network. The transformer design comprises a transformer shell, and cooling fins are arranged on the periphery of the shell to improve the cooling efficiency. An air guide plate is arranged on one side of each cooling fin and composed of a first inclined plate, a second inclined plate and an arc-shaped turning plate, the first inclined plate and the second inclined plate are arranged in an inclined mode, and therefore air flow is enhanced, and air conduction loss is reduced. Water-cooling assemblies are arranged on the two sides of the transformer, rainwater is collected through a fixed water tank, and water-cooling heat dissipation is achieved through a bottom rainwater conveying assembly. By means of the design, the transformer can automatically adjust the heat dissipation mode according to environment changes, and the safety and energy efficiency of outdoor operation are improved.

The invention discloses a method for predicting the service life of a transformer in a high-proportion new energy access zone based on multi-physics field modeling, and the method comprises the steps: building an electromagnetic field-temperature field coupling simulation model based on a COMSOL simulation platform, and setting the electrical parameters, oil physical parameters and material physical attributes of the transformer; secondly, simulating a photovoltaic access working condition by utilizing a multi-power supply superposition mode, obtaining key data such as three-phase voltage, three-phase current, iron core magnetic flux density, oil temperature and winding temperature, calculating a life label based on a working state, and performing quantitative evaluation on the state of the transformer by adopting a health state scoring method; and finally, constructing a Perii-midFormer life prediction model to realize prediction of the residual life of the transformer. Compared with a traditional life evaluation method, the method fully considers the multi-physical field dynamic coupling effect caused by photovoltaic access, improves the adaptability and reliability of life prediction, and provides an important reference for the operation and maintenance of a transformer in a power distribution network.

The invention relates to the technical field of power grid deicing, and discloses a distribution network line ice melting method and system using a transformer area distribution transformer, and the method comprises the steps: determining an ice melting region of a distribution network line, separating the ice melting region from the distribution network line through a switch, and enabling the ice melting region to be in an off-grid state during ice melting; connecting a low-voltage output end of a transformer area distribution transformer in the distribution network line with an ice melting area separated from the distribution network line, so that the transformer area distribution transformer and the ice melting area in an off-grid state form a closed loop; ice melting current is provided for the ice melting area through a distribution transformer of the transformer area, and ice melting operation is carried out on the ice melting area in the off-grid state under the action of the ice melting current; the problem that an existing distribution network line ice melting method is complex in operation is solved.

The invention relates to an early warning method and system for a turn-to-turn short circuit fault of a distribution transformer winding, and the method comprises the steps: obtaining the current, voltage, oil temperature, oil pressure and oil level of the distribution transformer winding, and calculating the maximum value of the dynamic power loss change rate, the maximum value of the voltage change rate and the maximum value of the main current change rate during the operation of the winding; when the oil pressure and the oil level are within a set range, and the maximum voltage change rate and the main current change rate are smaller than set threshold values respectively, corresponding signals are sent out according to the oil temperature and winding loss change conditions. The current, the voltage, the oil temperature, the oil level and the oil pressure obtained from the distribution transformer winding are utilized, the current change rate, the voltage change rate and the power loss change rate obtained through calculation are combined, multiple parameters are comprehensively considered, and the condition of the winding turn-to-turn short circuit fault is early warned. Compared with the prior art that only current change and power loss are considered, the method can more accurately perform early warning on the possible winding turn-to-turn short circuit fault.

The invention discloses a transformer area low-voltage cause analysis method and device and a medium. The method comprises the following steps: acquiring acquisition information of a transformer area in real time; determining a low-voltage event of the transformer area according to the acquired information; the causes of the low-voltage event are analyzed through the collected information to obtain the low-voltage cause, and the low-voltage cause comprises single-phase disconnection, single-phase grounding, three-phase imbalance, distribution transformer outlet metering device fault, low power factor, unreasonable transformer gear and low-voltage abnormity; and performing intelligent decision according to the low-voltage cause to obtain conclusion information. By acquiring the acquisition information of the existing power distribution automation system and determining the low-voltage event and the specific low-voltage cause according to the acquisition information, low-voltage monitoring and cause analysis can be realized without additional equipment, the cause of the low voltage in the transformer area can be analyzed and judged in real time, the analysis cost is low, the applicability is wide, and the method is suitable for popularization and application. The method can be widely applied to the technical field of power distribution networks.

The invention provides a power distribution area interconnection planning method and related equipment, and the method comprises the steps: obtaining the historical data of distributed new energy output and load power of a target area, and calculating the maximum net load rate of each low-voltage power distribution area to determine a heavy overload area; the method comprises the following steps of: interconnecting a heavy overload transformer area and a transformer area connected with new energy with other normal transformer areas, screening out interconnectable combinations of the transformer areas, and taking all original connecting lines of a medium-voltage distribution network as SOP to-be-selected lines; based on the interconnectable combination of the transformer area and SOP candidate lines, by constructing a target function and constraint conditions with the optimal economical efficiency as a target, obtaining a mixed integer linear programming model converted from a distribution transformer area interconnection stochastic programming model under multiple scenes and solving the mixed integer linear programming model, and obtaining a transformer area interconnection programming scheme and a medium-voltage distribution network SOP access condition; power mutual aid and capacity sharing between low-voltage distribution areas are achieved, local consumption of distributed new energy is promoted, and the heavy overload phenomenon of the areas is relieved.

The invention relates to the technical field of power grid bearing capacity evaluation, in particular to a method and system for evaluating the bearing capacity of a power distribution network. The method comprises the following steps: obtaining a noise reduction power distribution network operation data set; performing three-phase imbalance index calculation based on the noise reduction power distribution network operation data set to obtain three-phase imbalance characteristic data; performing wavelet transform decomposition on the noise-reduced operation data set of the power distribution network to obtain photovoltaic output fluctuation characteristic data; associating the photovoltaic output fluctuation characteristic data with the three-phase imbalance characteristic data to obtain a photovoltaic-imbalance mapping relation model; performing electric-thermal coupling modeling on the distribution transformer winding based on the photovoltaic-unbalanced mapping relation model to obtain a thermodynamic response model of the distribution transformer; and performing finite element thermal field simulation on the thermodynamic response model of the distribution transformer to obtain winding temperature distribution data. By accurately quantifying the influence of the intermittent output of the photovoltaic inverter on the three-phase imbalance of the distribution transformer, the defect that the traditional method is difficult to accurately evaluate is overcome.

The invention is suitable for the technical field of intelligent power grids, and relates to a G3-PLC communication characteristic-based power distribution network area physical topology identification method, which comprises the following steps of: S10, constructing a power distribution network area physical topological graph model; s20, determining an edge weight in the physical topological graph model of the distribution network area; s30, improving and constraining a minimum spanning tree (MST) based on a Prim algorithm of G3-PLC communication characteristics, and improving a Prim algorithm flow; and S40, identifying the physical topological structure of the power distribution network area. The method is simple in process and convenient to operate, on the basis of not adding extra hardware equipment and any manual operation, the weighted graph is constructed through G3-PLC communication data, the minimum spanning tree (MST) is generated through the Prim algorithm, the physical topological structure of the power distribution network area is recognized, and the recognition accuracy is high.

The invention discloses a power distribution network equipment vulnerability assessment method in an extreme scene and related equipment, and belongs to the technical field of power equipment disaster influence assessment, and the method comprises the steps: constructing a grid water accumulation model, and calculating the water accumulation height of each grid based on the grid water accumulation model and a rainfall center position; calculating the fault probability of the distribution transformer and the line based on the ponding height and the environmental factor; carrying out fault sampling based on the fault probability of the distribution transformer and the line, and determining which components may have faults; and outputting the fault component list and the fault probability. Through ponding dynamic simulation and equipment failure probability calculation, the accuracy of vulnerability evaluation of the power system is improved.

The invention relates to a mass transformer area weight and overload early warning method and system based on transfer learning, and the method comprises the following steps: obtaining the real-time load data of each transformer area distribution transformer, and carrying out the preprocessing; the preprocessed real-time load data of the distribution transformers of all the transformer areas are input into a pre-trained load prediction model of all the transformer areas for prediction, predicted load data of the distribution transformers of all the transformer areas are obtained, and the load prediction model is obtained through structure and parameter migration of a network prediction model based on LSTM; and calculating the correlation between the predicted load data of the distribution transformer in each transformer area and the temperature to obtain a correlation coefficient, and combining a heavy overload early warning judgment standard to obtain a mass heavy overload early warning result of the distribution transformer in each transformer area. Compared with the prior art, the method has the advantages of improving the prediction efficiency of massive transformer area distribution transformers and the like.

The invention discloses a 10kV distribution transformer on-load voltage regulation control method and system, and relates to the technical field of transformer on-load voltage regulation, and the method comprises the steps: collecting the three-phase voltage and current of a low-voltage side of a distribution transformer and a tap switch gear signal, and loading a preset voltage regulation control mode and an oscillation region parameter; based on the acquired three-phase voltage and current of the low-voltage side of the distribution transformer and the tap switch gear signal, calculating a feeder comprehensive impedance parameter and a load reactive power parameter, and outputting a transformer operation state index; according to the transformer operation state index, the voltage regulation control mode and the oscillation area rule, current voltage out-of-limit and reactive power deviation are judged, and a voltage regulation strategy triggering instruction is generated according to the judgment result; and calculating upper and lower limit values of feed line correction voltage based on the voltage regulation strategy trigger instruction, and controlling the tap switch to execute voltage regulation action. According to the method, a combined calculation scheme of feeder comprehensive impedance and load reactive power is fused, and dynamic optimization of the triggering condition of the voltage regulation strategy is achieved.

The invention discloses a power distribution network automation switch health state evaluation method and system based on hierarchical comprehensive evaluation. The method comprises the steps of obtaining ledger and measurement data of a line, a switch and a distribution transformer, uploading signal data of the automation switch, line fault power failure, transfer and operation ticket records; extracting health state features from the acquired data and labeling feature tags; according to the extracted switch health state features, using an analytic hierarchy process to solve the weight of each feature tag item, and establishing a comprehensive evaluation model; and performing batch evaluation on the health state of each automatic switch by using the comprehensive evaluation model. Based on related data of the automatic switch, the health state of the automatic switch is reasonably evaluated through the comprehensive evaluation model, and available, usable and easy-to-use data are provided for companies.

The embodiment of the invention discloses a low-voltage reactive power compensation equipment state evaluation method, and the method comprises the steps: collecting basic data of low-voltage reactive power compensation equipment, the basic data comprises a voltage, a power factor, an active load, a distribution transformer low-voltage side reactive load, a distribution transformer low-voltage side active power, a reactive power, a common compensation capacitor rated capacity, a separate compensation capacitor rated capacity and a voltage abnormal duration; determining an evaluation index according to the basic data; and determining the operation state of the low-voltage reactive power compensation equipment according to the evaluation index. According to the method, the basic data is collected, the evaluation index is determined according to the basic data, the operation state of the low-voltage reactive power compensation equipment is further judged, the health condition and performance of the equipment can be comprehensively and objectively evaluated, the accuracy of state evaluation of the low-voltage reactive power compensation equipment can be improved, and the working efficiency is improved. And real-time monitoring and early warning of the operation state of the equipment can be realized.

The utility model discloses a low-voltage outgoing line flexible connection device of a distribution transformer, which belongs to the technical field of transformer wiring and comprises two connectors, a plurality of connecting holes and a plurality of connecting terminals. The connector comprises two connectors, a plurality of flexible copper strips, the flexible copper strips are located between the two connectors, the ends of the flexible copper strips are connected with the connectors in an inserted mode, and the relative positions between the ends of the flexible copper strips and the centers of the connectors change along with changes of stress. The deformation quantity is compensated through sliding of the limiting frame, under the action of the elastic piece, the soft copper strip can be always kept in a tightened state, and meanwhile, due to the arrangement of the elastic frame, the soft copper strip can be prevented from being scattered, and the situation that the soft copper strip makes contact with other external components when deformed, and danger is generated can be avoided.

The present invention discloses a short-circuit resistant distribution transformer, comprising an oil tank, a body, an iron core, and a coil, wherein the body is arranged inside the oil tank, the iron core is arranged on the body, and the coil comprises a high-voltage coil and a low-voltage coil, wherein the low-voltage coil is arranged inside the high-voltage coil, and the low-voltage coil is arranged outside the iron core. Main technical scheme and effect: The coil is compressed by insulating blocks at both ends, which effectively avoids the situation that a short circuit is easily generated when the coil is loose, and can increase the distance between the coil and the upper pressing plate and the lower pressing plate, thereby improving the insulation effect between the coil and the upper pressing plate and the lower pressing plate.