260results 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 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 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 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 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 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.

The invention discloses a power distribution network power failure prediction method based on a digital twinborn model, and the method comprises the steps: collecting parameter data related to a power failure in a power distribution network, and the parameter data comprises an electrical parameter, an equipment state parameter, meteorological data, power grid operation information and a historical power failure record; constructing a power distribution network digital twinborn model according to the preprocessed parameter data and the structure information of the power distribution network; an XGBoost algorithm is adopted to train the multi-source time sequence data of the twin digital model of the power distribution network, and a power failure prediction model is generated; and inputting the real-time operation parameter data of the power distribution network into the power failure prediction model for prediction, and outputting a power failure prediction result of the power distribution network.

The invention discloses a low-voltage transformer area branch relation checking method, which comprises the following steps of: acquiring current and voltage data of each user in the same transformer area, and recording a matching number between current and voltage effective value cross phases; according to the recorded matching number and the normalized association strength, constructing a voltage and current change association matrix between the users; according to the incidence matrix, constructing a distance matrix based on a Pearson correlation coefficient; using a DBSCAN clustering method to carry out clustering analysis on the user to obtain a preliminary user branch; the DBSCAN clustering result is fused with the minimum spanning tree, and user branch division is optimized; branch relation checking is conducted, a final branch division result is output, and the branch division result comprises normal branches and abnormal users. The invention further discloses a corresponding system. According to the method, the existing voltage and current data are utilized, and the DBSCAN clustering and the minimum spanning tree algorithm are combined, so that accurate identification and optimization of the branch relation are realized.

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

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 provides a power distribution network grounding fault rapid positioning, isolation and recovery method and system, and relates to the technical field of power system fault detection, and the method comprises the steps: dividing a power distribution line interval segment between two adjacent node switches into monitoring units through each node switch on a power distribution network line; the method comprises the following steps: synchronously acquiring power grid quantity data, switch state information, fault signals and fault event processing information through a power distribution terminal by utilizing a wide-area synchronization method of Beidou clock signals; fault monitoring is carried out, and a fault monitoring result is synchronized to all the power distribution terminals; a multi-point zero-sequence current analysis method is utilized to position a grounding fault interval; the upstream power distribution terminal, the downstream power distribution terminal and the switch equipment of the grounding fault interval are used for isolating the grounding fault area; and recovering the power supply of the non-grounding fault section. The automation level and the management level of the power distribution network are improved, and the maintenance cost of the power distribution network is reduced.

The invention provides an emergency power supply recovery method based on a transformer area intelligent fusion terminal. The method comprises the following steps: establishing a transformer area emergency power supply recovery system; establishing a micro-application framework based on a transformer area intelligent fusion terminal, wherein the micro-application framework comprises a universal source network load storage access APP and a source network load storage collaborative emergency recovery APP; the universal source network load storage access APP is based on a unified communication protocol framework, and adopts a configurable physical model and an extensible communication protocol plug-in technology to realize unified access of various terminal devices; the source network load storage cooperative emergency recovery APP is based on area intelligent fusion terminal edge calculation, adopts an automatic switching control strategy, realizes grid-connected and off-grid rapid switching and cooperation between the source load storage in a power distribution area under different emergency conditions, and guarantees reliable power supply of a key load to the greatest extent. By coordinating the power supply side, the network side, the load side and the energy storage side in the power distribution network, the power supply reliability of the important load is greatly improved, and the power loss recovery time of the superior power supply is shortened.

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 relates to a magnetic control fast switch and dynamic voltage restorer combined power supply switching system and method. The system comprises a magnetic control switch unit, a voltage monitoring unit, a voltage compensation unit and an arc extinguishing unit. The magnetic switch unit is made of a novel magnetic control material and forms a vertical motion opening and closing mechanism through excitation and demagnetization of a built-in coil and assistance of a spring, and the vertical motion opening and closing mechanism is used for changing an internal magnetic domain and rapidly opening and closing. The voltage detection unit adopts a double-second-order generalized integral phase-locked loop voltage monitoring structure and is used for detecting instantaneous phase and frequency information of power grid voltage; the voltage compensation unit adopts a dynamic voltage restorer and is used for performing voltage compensation according to a difference value between a current power supply and an objective table power supply in a power supply switching gap so as to effectively maintain the stability of load voltage when voltage sag occurs in a power grid; and the arc extinguishing unit adopts a T-shaped double-outlet vacuum arc extinguishing chamber and is used for realizing zero arc in the whole power supply switching process. According to the invention, rapid switching of the power supply can be realized, and continuous voltage is ensured in the switching process.

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 invention discloses a medium and low voltage power distribution network fault recovery method based on a BWO algorithm, and the method comprises the steps: S101, obtaining a target power distribution network data set, and constructing a distributed power supply and load system model; s102, carrying out preliminary island division by taking the minimum important load loss after the fault as a target; s103, solving is carried out according to a BWO optimization algorithm, and the population is continuously iterated and updated until the number of iterations is reached or a termination condition is met; and S104, carrying out fault recovery according to a solving result.

The invention discloses a multichannel power supply switching electric quantity acquisition system, which belongs to the technical field of standby power supply switching and comprises a storage battery, a mains supply end, a first intelligent switcher and a second intelligent switcher. The device further comprises a solar panel, the output end of the solar panel is electrically connected with a solar controller, the solar controller is electrically connected to the first input end of the first intelligent switcher, and the output end of the first intelligent switcher is electrically connected to the storage battery. The output end of the storage battery is electrically connected to the first input end of the second intelligent switcher, and the output end of the second intelligent switcher is electrically connected to the terminal through the main control board; the first output end of the mains supply end is electrically connected to the second input end of the second intelligent switcher through an inverter. The system has the advantage of seamlessly switching the commercial power and the storage battery.

The invention discloses an energy supply transformer and a monitoring system and method. The energy conversion unit comprises a shell, a sealing terminal, and an iron core, a primary winding, a secondary winding, an insulating supporting plate, an insulating limiting plate, an insulating partition plate, an insulating pad and a metal support which are arranged in the shell; the sealing terminal is arranged on the shell and is used for sealing and leading signals in the shell out of the shell; one end of the metal support is fixed with the iron core through the insulation pad, and the other end of the metal support is fixed on the inner wall of the shell; the primary winding and the secondary winding are coaxially arranged with the iron core and are sleeved outside the iron core; the insulating support plate is arranged between the winding and the iron core and fills a gap between the winding and the iron core; the insulating limiting plate and the iron core are coaxially arranged; the insulating supporting plate and the insulating limiting plate are made of high-dielectric-constant materials. And an insulating partition plate is arranged between the primary winding and the secondary winding. The invention aims to solve the problems that a cantilever beam structure is large in stress, poor in heat dissipation performance and large in boundary dimension, and a voltage-sharing capacitor needs to be arranged.

The invention discloses a distributed power grid operation optimization method considering a price guiding mechanism, and the method comprises the following steps: S1, building a price guiding mechanism model: collecting the real-time data of various distributed resources (such as distributed energy, an energy storage device, a controllable load and the like) in a distributed power grid, and obtaining the electricity price information of an external power grid, comprising real-time electricity prices, time-of-use electricity prices and the like, a price guiding model reflecting market price signals is established based on the collected data, and meanwhile the model can accurately reflect changes of market supply and demand relations and response characteristics of distributed resources to the price signals; and S2, optimizing distributed resource scheduling: adjusting a power generation plan of distributed energy according to a price signal provided by the price guiding model. According to the distributed power grid operation optimization method considering the price guidance mechanism, the safety and stability of a power system can be improved, the operation cost of the power system is reduced, and meanwhile, the development of the new energy industry is promoted.

The invention discloses an extremely high altitude environment multi-level intelligent power supply and distribution method and an energy system, and belongs to the field of intelligent power supply and distribution, and the method comprises the steps: determining the load characteristics of load equipment and the power value of a load, grading different load equipment, constructing an equipment power database, arranging sensors at the key positions of the load equipment, and carrying out the classification of the load characteristics and the power value of the load; the method comprises the following steps: integrating sensors into a sensor cluster, and collecting environment data and real-time data of a load; the intelligent power distribution unit receives real-time data collected by the sensor cluster, preprocesses the data, integrates the data and constructs a sensor database; according to data in the equipment power database and the sensor database, an intelligent power distribution strategy is obtained in combination with a high-altitude environment coupling control algorithm; and the energy storage unit executes the control strategy according to the intelligent power distribution strategy and provides power for the load equipment. According to the invention, through the intelligent power distribution strategy, the influence of the high-altitude environment on the load characteristics is considered, and the load prediction accuracy is improved.

The invention discloses a medium and low voltage power distribution network fault reconstruction method based on a particle swarm algorithm. The method comprises the following steps: S101, obtaining a target power distribution network management data set; step S102, determining an island division range by taking each DG as a center and taking the capacity of the DG as a constraint condition, dividing load grades into a first-level load, a second-level load and a third-level load, and numbering load nodes in each divided area from high to low; step S103, according to the target power distribution network management data set, using an optimization algorithm based on a particle swarm, taking the minimum network loss as a target, and taking the bearing capacity of the DG as a constraint condition to carry out islanding solving on the DG, and obtaining load points contained in each islanding and a switch required to be disconnected; and S104, fault reconstruction is carried out according to the island division solving result, and a reconstructed network topology structure and a system fault reconstruction result are obtained.

The invention provides a power supply driving circuit, a new energy vehicle, a method, a device, a medium and a product, and the power supply driving circuit comprises a charging plug module; the charging socket module is in charging connection with the charging plug module through a high-voltage plugging assembly, and the charging socket module is in control connection with the charging plug module through a low-voltage plugging assembly; the plugging distance between the high-voltage plug and the high-voltage jack of the high-voltage plugging assembly is greater than the plugging distance between the low-voltage pin and the low-voltage jack of the low-voltage plugging assembly. Through the embodiment of the invention, automatic protection aiming at abnormal plugging or connector loosening virtual connection in the power supply process is realized, the power supply reliability and the circuit safety are improved, and the charging safety of the new energy vehicle is improved.

The invention provides equipment with a position detection function, a robot and a position detection method. The equipment comprises a control module and a power supply module, a permanent magnet synchronous motor, a motor output shaft and a reducer; when the equipment is in a power-off state, the control module is started in response to phase voltage generated by the permanent magnet synchronous motor, and the power supply module is controlled to supply power to the control module and the absolute value encoder for a period of time; and determining the position of the output end of the speed reducer according to the position data reported by the absolute value encoder and the latest number of turns. The energy consumption of the power supply module can be reduced to the greatest extent, the endurance of an internal battery is prolonged, energy and power are saved as much as possible, the power supply starting time is responded based on the phase voltage, the phase voltage is directly generated and output by the permanent magnet synchronous motor due to position change, and the phase voltage does not need to be processed by an intermediate logic circuit, so that the power supply starting time is shortened. The response speed is high, the situation that position data are lost due to the fact that power supply is not started in time is avoided, and power supply stability and reliability are higher.