659 results about "Electricity distribution systems" patented technology

The invention discloses a multi-mode self-learning diagnosis and early warning method and system for a power distribution system, and relates to the technical field of intelligent operation and maintenance of power systems. According to the method, a visible light image, an infrared thermal image, a sound signal, an environmental parameter and an electrical parameter of the power distribution equipment are collected through a multi-mode sensor, and time synchronization and feature extraction are carried out; multi-modal features are constructed into a hypergraph structure, and cross-modal feature fusion is realized by using a graph attention mechanism; adopting a strategy of combining self-supervised pre-training and supervised fine tuning to carry out multi-objective joint optimization on the fused features to obtain a self-learning diagnosis model; the system inputs multi-modal data in real time during operation, outputs an equipment operation state and a health degree index, and realizes early warning and fault alarm through threshold comparison. According to the method, deep fusion and adaptive learning of multi-source information can be realized, high-precision diagnosis, real-time early warning and online updating capabilities are realized, and the intelligence and safety of a power distribution system are remarkably improved.

The invention provides a ship power battery state monitoring method and system based on multi-sensor data fusion, and relates to the technical field of batteries, and the method comprises the steps: interactively obtaining multi-mode monitoring data of a ship power battery in a ship matched intelligent power distribution system; generating a mapping confidence score by using the expected output prediction of the reliable twin of the sensor and the residual error of the multi-modal monitoring data; the method comprises the following steps of: after preprocessing multi-modal monitoring data, respectively extracting transient, trend and accumulation characteristics based on a multi-time scale sliding window; inputting the multi-modal feature set into a hierarchical fusion model, executing coupling fusion analysis in a module layer and a cabin ship layer, and outputting comprehensive operation state features; constructing an abnormal probability value according to a multi-dimensional abnormal index calculation result and the mapping confidence score; and monitoring and managing the state of the ship power battery according to the abnormal probability value. According to the invention, the technical problem of low monitoring efficiency of the state of the ship power battery in the prior art can be solved.

The invention discloses a power distribution system planning operation collaborative optimization method integrated with multi-flexibility resources. Comprising the steps of obtaining a reference data set of a power distribution system, and fitting wind power and photovoltaic edge distribution to construct a joint probability model; and fitting the relationship between the energy storage discharge depth and the capacity attenuation, establishing a full life cycle cost model, and outputting equivalent operation cost parameters changing along with the operation strategy. Based on wind-solar combined distribution parameters, operation cost parameters and load electricity price prediction, a multi-temporal-spatial-scale scene set is generated by adopting Latin hypercube sampling, and a typical scene is obtained through clustering and scene reduction. And constructing a two-stage robust capacity planning model in combination with the typical scene and the equivalent operation cost. The model is solved through a main-sub problem decomposition coordination strategy, an installation and capacity configuration scheme is obtained, and integrated collaborative optimization of long-term planning and short-term operation of the power distribution system is achieved. According to the invention, the safety, economy and flexibility of the power distribution system in a high-volatility environment can be effectively improved.

The invention discloses a renewable energy penetration power distribution system scheduling method and system based on a block chain, and relates to the technical field of power distribution system scheduling, and the method comprises the following steps: constructing a cross-hierarchy time sequence integrity observation layer, introducing a multi-source high-precision reference signal into a synchronous time service link, and carrying out the multi-source high-precision reference signal; the fingerprint acquisition module is used for acquiring external environment electromagnetic disturbance and atmospheric propagation delay data in real time and generating a phase offset fingerprint corresponding to a time service state; and performing causal decomposition operation based on the phase offset fingerprint, performing noise stripping processing on the acquired electromagnetic disturbance signal, and extracting a real time service error trajectory. Through combination of multi-source time service correction, phase fingerprints and virtual impedance time marks, time self-calibration and cross-node synchronization of the block chain power distribution system are realized, account book wrong sequence caused by time service drift is eliminated, power flow reversal is suppressed through time reversal traction and dynamic constraint, scheduling stability and energy flow consistency are ensured, and the power distribution efficiency is improved. The system safety and the clean energy utilization efficiency are improved.

The invention provides a new energy automobile endurance prediction method based on working condition identification and prediction, and belongs to the technical field of new energy automobile endurance mileage estimation. According to the method, sliding window statistical characteristics are constructed through speed, current, voltage and other signals, typical working conditions of cities / suburbs / highways and the like are identified, the working condition of a next time window is predicted, and energy consumption priori which can be updated in real time along with changes of road conditions is formed. Secondly, a rolling capacity estimation model is provided, the available capacity of the battery is continuously evaluated based on historical charging and discharging data, and dynamic changes of the SOH of the battery along with time and use conditions are recorded; according to the method, working condition prior, rolling SOH and time sequence energy consumption characteristics are fused, a TCN-BiLSTM multi-model cooperation framework is constructed, short-term dynamic and long-term attenuation trends are considered, high-precision and generalizable endurance mileage prediction under complex working conditions and battery state fluctuation is realized, reliable support is provided for intelligent energy consumption management and journey planning of vehicles, and the method is suitable for popularization and application. The method can also be applied to an intelligent power distribution system with a high reliability requirement, and provides a core solution for technology promotion service in related fields.

The invention discloses a weak link identification method and device for a power distribution system, electronic equipment and a program product, and relates to the field of power distribution systems.The method comprises the steps that classified typical disaster scenes and line fault probabilities in the typical disaster scenes are analyzed; evaluating a power supply operation state of the power distribution system after each typical disaster scene occurs by using a maximum power supply capability model, calculating element risk parameters of the power distribution system based on the power supply operation state and the line fault probability, and weighting and calculating a state weakness index by combining the element risk parameters of the power distribution system and scene weight parameters; and calculating a structure vulnerability index based on the centrality index of the node and the scene weight parameter weighting, fusing the state vulnerability index and the structure vulnerability index, and identifying a node weak link in the power distribution system. According to the invention, a technical problem of low accuracy of an evaluation result because only evaluation of a physical structure of the power distribution system is carried out in weak link evaluation of the power distribution system in related technologies is solved.

The invention relates to a novel power distribution system data mining processing method and system based on transfer learning, and the method comprises the steps: collecting multi-dimensional operation data of a source power distribution network and a target power distribution network, carrying out the feature extraction of the multi-dimensional operation data, and forming a corresponding feature set; training the load prediction model of the source power distribution network to obtain a trained model, and performing knowledge extraction and mobility evaluation on the trained model; carrying out comparison loss measurement on the feature sets of the target power distribution network and the source power distribution network, and then carrying out comparison loss extraction and difference analysis; based on a difference analysis result, designing an adaptive transfer learning model, and performing adaptive adjustment on the structure of the target power distribution network load prediction model; and migrating the parameters of the source power distribution network load prediction model to the target power distribution network, and reducing the cross-domain distribution difference through a distribution alignment mechanism. Through a customized migration strategy, the method has stronger generalization ability and adaptability in a heterogeneous data scene of the power distribution network.

The invention discloses a grid-connected control method and system based on a three-port energy router. The grid-connected control system comprises a photovoltaic power generation system, an energy storage system and a grid-connected inverter system, the photovoltaic power generation system adopts a perturbation and observation method and is used for performing photovoltaic maximum power generation; the energy storage system comprises a storage battery, adopts direct current bus voltage stabilization control, and is used for performing peak load shifting of energy and maintaining the direct current bus voltage; the preceding stage of the grid-connected inverter system adopts fuzzy VSG + pre-synchronization control so as to realize grid-connected and off-grid seamless following and provide voltage support; the post-stage of the grid-connected inverter system adopts double closed-loop + optimization compensation control, performs power regulation and control through weighted cooperation with a VSG double closed-loop system, and is responsible for long-term energy balance. According to the invention, photovoltaic maximum power tracking, energy storage charging and discharging coordination and grid-connected and off-grid seamless switching are realized, and the method is suitable for distributed power supply grid connection, a DC micro-grid and a novel power distribution system.

The invention provides a power distribution system area energy autonomous optimization method under new energy bearing capacity constraint. The method comprises the following steps: acquiring basic data of a target power distribution system area; a Voronoi-energy flow entropy dynamic space partitioning method is adopted, autonomous units are divided, and energy flow entropy features are calculated; generating initial new energy installed capacity, energy storage capacity and bearing capacity threshold values according to the space boundary and energy flow entropy characteristics of each autonomous unit; a Stackelberg game model is adopted, a dynamic electricity price, a carbon price and a deviation reward and punishment mechanism are introduced, a distributed iteration method is combined, and an operation scheduling strategy of each autonomous unit is determined; and performing rolling optimization and scheduling adjustment according to the feedback data, and dynamically updating the space boundary, the bearing capacity threshold and the scheduling strategy of the autonomous unit. According to the method, the energy management capability of the power distribution system is effectively improved, the new energy resource configuration is optimized, the scheduling cost is reduced, and the flexibility and stability of the system are enhanced.

The invention discloses a reinforcement learning-based cable arrangement method and system in a power supply and distribution system, and a storage medium. The method comprises the following steps of S1, obtaining cable information, laying environment information and constraints required to be met by cable laying; s2, abstracting a bridge system into a weighted undirected topological graph; s3, calling a path planning algorithm based on reinforcement learning, and calculating an optimal cable laying path by taking a minimum comprehensive cost function including path length cost, plot ratio cost and precious penalty terms as an optimization target under the constraint that cable laying needs to be met; s4, calculating the center coordinate of each cable to be arranged in each bridge by adopting a greedy algorithm according to the optimal cable laying path, and arranging the cables according to the center coordinate; according to the method, the optimal laying and arrangement path can be planned on the premise of meeting various physical constraints of cable laying, and the method can automatically and dynamically adapt to different laying scenes.

The invention relates to the technical field of power equipment monitoring and temperature sensors, and discloses a distribution box internal hot spot positioning method and system based on temperature field reconstruction. The method comprises the steps of obtaining an infrared thermal image of the outer wall of the distribution box; main loop and branch current signals are synchronously collected; extracting surface temperature distribution characteristics of the shell; constructing an internal electromagnetic heat source model; an internal three-dimensional temperature field is generated through multi-physics field coupling inversion calculation; and identifying the over-threshold region and outputting the spatial coordinates thereof. The system comprises an infrared thermal imaging module, a current acquisition module, a feature extraction module, a heat source modeling module, a temperature field reconstruction module and a hot spot positioning output module. According to the invention, a built-in sensor is not needed, non-contact, intrinsically safe and centimeter-level precision hot spot real-time positioning is realized, and the reliability and intelligent operation and maintenance level of a power distribution system are improved.

An electrified vehicle includes a chassis having a longitudinal length of at least 20 feet and an energy storage system. The energy storage system includes an enclosure coupled to the chassis, a battery pack positioned within the enclosure, a power distribution system positioned within the enclosure, a first wiring harness positioned entirely internal to the enclosure where the first wiring harness electrically couples the battery pack to the power distribution system, and a second wiring harness. A first portion of the second wiring harness is positioned internal to the enclosure and a second portion of the second wiring harness is positioned external to the enclosure. A maximum external length of any cable of the second wiring harness external to the enclosure is less than 25% of the longitudinal length.

The invention relates to the technical field of photovoltaic distribution installation, in particular to a photovoltaic distribution decision-making method for a building group, which comprises the following steps: acquiring an original live-action image of a target area, and processing the original live-action image of the target area to obtain a target live-action image; obtaining meteorological characteristic data of the target area, and determining photovoltaic output data of the target area based on the target real scene image and the meteorological characteristic data of the target area to form a multi-scene power generation prediction data set; acquiring operation data of a power distribution system of the target building group, and establishing a comprehensive target function taking the total cost as an optimization target based on the operation data and the multi-scene power generation prediction data set; based on the constraint of the constraint condition set, solving the comprehensive target function, and obtaining and outputting a photovoltaic distribution target solution in the target area; according to the invention, the accuracy, safety and comprehensive economic benefits of distributed photovoltaic development of urban building groups are systematically improved.

The invention discloses a range-extended electric aircraft power distribution system and a construction method, and the system constructs a graded power distribution network comprising four stages of protection devices through distributing different windings of a multi-winding motor to different load modules and combining the design of dual power sources of a battery pack and a range extender; by means of the design, independent power supply and fault isolation of winding power are achieved, and it is ensured that power is not completely lost under a single fault; and the dual power sources are backups for each other through an interconnection line, so that the power supply reliability is improved, and the power distribution at different flight stages is optimized. By adopting the technical means of multi-winding motor design and four-stage grading circuit protection, the technical problem that the safety and reliability of a power system of an electric aircraft are insufficient due to a single power supply or a motor fault is solved.

The invention provides a wrong-phase-proof plugging structure and a bus duct system, and relates to the technical field of electrical power distribution, the wrong-phase-proof plugging structure comprises a plugging box, a bus duct and plugging pins used for electrically connecting the bus duct and the plugging box, the plugging box is connected with the plugging pins through a wrong-phase-proof assembly, and the plugging pins are electrically connected with the bus duct. The bottom side of the bus duct is provided with a first joint part and a second joint part. A first matching part and a second matching part which are uniquely matched with the first joint part and the second joint part respectively are arranged on the phase dislocation prevention assembly, and the first joint part and the second joint part are in positioning connection with the first matching part and the second matching part respectively; the bus duct system comprises the wrong phase prevention plugging structure. According to the invention, wrong-phase plugging can be completely eradicated, the phase accuracy of a power distribution system is ensured, the connection reliability and operation convenience can be improved, the installation difficulty is reduced, the potential safety hazard can be avoided, and the personnel and property safety can be protected.

The invention discloses a port area flexible load millisecond-level cooperative suppression method based on magnetic flux jump prediction, and the method comprises the steps: obtaining the external vibration and electrical data of a transformer, combining the Bayesian inversion of physical constraint, and reconstructing an internal three-dimensional magnetic flux field; based on time sequence evolution of the magnetic flux field, a dual-mode self-adaptive prediction algorithm is adopted, and a magnetic flux jump early warning vector containing jump time, amplitude and position is generated; and according to the early warning vector, through a multi-layer cooperative control strategy of time sequence decoupling, a control instruction for the flexible load of the harbor district is generated and executed. Advanced early warning and millisecond-level active suppression of the potential magnetic saturation risk are realized, and the operation reliability and equipment safety of a harbor district power distribution system are improved.

The invention relates to a dynamic scheduling method and device of a household energy system, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: predicting a household load power prediction value and a photovoltaic power generation power prediction value after a preset time length based on real-time collected operation condition data of a household power distribution system; based on the household load power prediction value, the photovoltaic power generation power prediction value and the operation condition data, establishing a multi-target dynamic optimization scheduling model; solving the multi-target dynamic optimization scheduling model to obtain an optimization scheduling strategy; real-time dynamic comprehensive priority scores of the load devices are obtained, the real-time dynamic comprehensive priority scores of different load devices are sorted, and a load device priority list is obtained; and according to the optimized scheduling strategy and the load equipment priority list, generating a real-time scheduling control instruction and issuing the real-time scheduling control instruction. By adopting the method, the autonomous adjustment capability of the system can be effectively improved.

The invention relates to the technical field of voltage regulation and control of a power distribution system, and particularly discloses a voltage regulation and control method and system of a low-voltage flexible interconnection power distribution system. On-load voltage regulating transformer and capacitor bank action decisions considering robustness and economical efficiency can be made, and the influence of uncertainty of renewable resources on voltage stability can be effectively dealt with; the SOP voltage reactive droop control parameter optimization model is constructed by taking the minimum node voltage deviation and the system network loss as targets, and the SOP voltage reactive droop control parameter optimization model based on intraday rolling optimization can ensure that the node voltage is stable in the real-time voltage control stage of the SOP, and also considers global network loss optimization, so that the global performance of the system is improved. According to the method, dynamic characteristics and interaction influences among different voltage regulating devices are considered, sequential cooperative control among various resources is realized through day-ahead and intra-day distributed optimization and centralized local multi-stage voltage control, and the voltage out-of-limit problem of the flexible interconnection power distribution system is effectively solved. And the system voltage control effect is improved.

The invention provides a non-effective grounding voltage transformer and a voltage mutual inductance state monitoring method, the non-effective grounding voltage transformer comprises a main voltage transformer and a zero sequence voltage transformer, the main voltage transformer comprises a primary high voltage winding, a secondary low voltage winding and a secondary protection winding, the zero-sequence voltage transformer comprises a zero-sequence primary winding, a zero-sequence secondary winding and a zero-sequence protection winding; a neutral point of the primary high-voltage winding is electrically connected with one end of the zero-sequence primary winding, a neutral point of the secondary low-voltage winding is electrically connected with one end of the zero-sequence secondary winding, and the other ends of the zero-sequence secondary winding and the zero-sequence primary winding are grounded; one end of the secondary protection winding and one end of the zero-sequence protection winding are grounded, the other end of the zero-sequence protection winding is grounded, and the other end of the secondary protection winding is grounded through the current-sensitive resonance elimination resistor; when a power distribution system is disturbed and attempts to cause resonance, the iron core of the zero sequence voltage transformer is rapidly saturated, which is equivalent to that a resistor is connected in series in a loop, so that a large amount of resonance energy is consumed and a resonance elimination effect is achieved.

An electrical conductor monitoring system for single or multi-phase conductors is described. The monitoring system may be configured to monitor the health of a conduction system based on multi-phase sequences and / or current magnitude and angle vectors of multi-phase or single-phase current. In one example, the monitoring system includes an insulation health monitoring system having an input and output measurement devices, the input measurement device disposed at an input end of the electrical distribution system and structured to measure three-phase input currents, the output measurement device disposed at an output end of the electrical distribution system and structured to measure three-phase output currents; and a monitoring device communicatively coupled to the measurement devices and structured to receive the three-phase input and output currents from the measurement devices and determine a state of the insulation system based on the three-phase input and output currents. Other embodiments are described.

An electrified fire fighting vehicle includes a chassis having a pair of frame rails, a cab, a body, an electric motor coupled to the chassis, and an energy storage system. The energy storage system includes a rack, a battery pack, a power distribution system, and a power cable. The rack is coupled to and extends upward from the chassis. The rack defines an interior chamber. The battery pack and the power distribution system are positioned within the interior chamber. The power cable runs from the power distribution system to the electric motor. The power cable is configured to provide alternating current power from the power distribution system to the electric motor. The power cable extends out of the rack proximate a lower edge thereof and between the pair of frame rails to the electric motor without crossing over or under the pair of frame rails of the frame.

A power distribution system includes a macrogrid controller configured to control one or more first loads associated with a macrogrid, wherein the one or more first loads include a microgrid comprising one or more second loads and a plurality of energy resource systems; and a microgrid controller configured to receive one or more control signals from the macrogrid controller and control a power connection of the microgrid to the macrogrid based on the one or more control signals. The microgrid controller is configurable in a grid-connected mode, during which the microgrid is connected to the macrogrid, and a stand-alone mode, during which the microgrid is disconnected from the macrogrid, and wherein the microgrid controller is configured to operate in the grid-connected mode or in the stand-alone mode based on the one or more control signals.

The invention discloses an overhead line fault diagnosis method, system and device based on space vector conversion and a storage medium, and relates to the technical field of intelligent power distribution, and the method comprises the steps: collecting the normal operation three-phase current data of an overhead power distribution line, and constructing a steady-state feature model; three-phase current data is collected in real time and converted into a space vector sequence, the Euclidean distance between a vector end point and a model center is calculated, and instantaneous offset is extracted. Integrating the offset in a sliding window, calculating a phase rotation rate, generating a multi-dimensional deviation tensor, inputting the multi-dimensional deviation tensor into a fusion function to obtain a misconstruction score, and normalizing the misconstruction score to obtain a misconstruction index; comparing the index with a threshold value, if the index exceeds the threshold value, determining that the disturbance is external transient disturbance, and adjusting the sampling frequency of the current sampling device; according to the method, interference can be effectively identified in a special electromagnetic environment, misjudgment of diagnosis is avoided, maloperation of a protection device is reduced, reclosing operation is guaranteed, and the fault diagnosis accuracy and robustness of a power distribution system are improved.

The invention discloses a power distribution network-micro-grid collaborative dual-time scale scheduling method in combination with topological optimization. According to the method, a long-time-scale scheduling period is set at the hierarchy of the power distribution network, a scheduling model combining topology reconstruction and active optimization is adopted, and unified regulation and control of global operation characteristics such as grid power flow, line heavy load and node voltage are achieved; an ultra-short time scale real-time scheduling period is set in a micro-grid level, and new energy fluctuation is rapidly tracked and compensated based on rapid adjustable resources; and through a multi-level information interaction mechanism, power distribution network scheduling constraint downloading and micro-grid feedback uploading are realized, and friendly interaction and cooperative operation between the power distribution network and the micro-grid are realized. According to the method, the flexibility and the new energy consumption capability of the power distribution system are remarkably improved through a topology flexible regulation and control means, meanwhile, the rapid response capability of the system to the time-varying uncertainty is enhanced through a double-level scheduling mode, the operation loss and the safety risk of the power distribution network are reduced, and the method has good engineering application value.

The invention provides a power supply and distribution system fault early warning method and system based on multi-parameter trend analysis, and relates to the field of power monitoring. The method comprises the following steps: collecting multi-parameter time sequence data of a power supply and distribution system, and carrying out working condition environment box classification to obtain a classified data set; a sliding window algorithm is adopted to extract time sequence features of the classified data set, the change trend slope of parameters in each window is calculated through linear regression, and trend feature data are obtained. And based on the trend feature data, judging an abnormal trend and generating an abnormal mark and an associated parameter set. And performing fault positioning analysis and temperature rise coefficient calculation on the abnormal mark and the associated parameter set, performing fault state identification in combination with short-term environment data, and generating a fault positioning analysis result. And generating an early warning signal based on a fault positioning analysis result. The technical problems of fault early warning lag and low positioning accuracy caused by lack of analysis of multi-parameter variation trend and no elimination of environmental factor interference are solved.

The invention provides a power distribution system source network load storage multi-time scale layering and grouping scheduling control method, and relates to the technical field of power distribution system scheduling control. The power distribution system source network load storage multi-time scale layering and grouping scheduling control method comprises the following steps of 1, source network load storage adjustable resource quantitative evaluation, 2, multi-time scale power prediction, 3, layering and grouping architecture construction, 4, multi-time scale scheduling strategy making, and 5, scheduling strategy execution and rolling updating. According to the invention, by constructing the quantitative model containing the algorithm formula and the hierarchical grouping architecture, the problems of power balance, scheduling economy and power grid safety under high-proportion new energy access are solved, the new energy consumption rate and the system flexibility are improved, the source-grid load-storage collaborative interaction is realized, and the new energy consumption capability and the power grid operation stability are improved.

The embodiment of the invention provides a power distribution cabinet intelligent spare power switching and overload management and control method and system, and the system comprises a multifunctional instrument which is used for detecting the current and voltage of an incoming line of a current system and a circuit breaker position contact signal, and carrying out the output of detection data based on a preset communication protocol and a preset communication standard; the programmable logic controller is in communication connection with the multifunctional instrument, and is used for identifying and reading the detection data of the multifunctional instrument, executing spare power switching based on the detection data, and determining whether to unload the three-level load of the transformer or not to generate and output a control instruction based on the current load of the transformer and a preset load threshold value; and the touch screen man-machine interface is in communication connection with the programmable logic controller and is used for responding to the control instruction to switch among different control modes and reserving the IP address setting of the multifunctional instrument and the removal configuration function of the three-level load. The system improves the intelligent control level and the operation and maintenance efficiency of the power distribution system.

The invention discloses a power relay protection fault analysis and fixed value setting method, system and device and a medium, and relates to the technical field of power system relay protection, and the method comprises the steps: obtaining the topological structure information and new energy access information of a power distribution system, and determining a to-be-analyzed fault point set; based on the line parameters of the power distribution system and the new energy grid-connected parameters, establishing a short-circuit current calculation model based on the new energy grid-connected characteristics, and calculating the short-circuit current contribution of each fault point in the fault point set; according to the short-circuit current contribution, the detection sensitivity of the protection device to various faults is analyzed, and a protection characteristic curve reflecting the new energy access influence is generated; and based on the protection characteristic curve, optimizing the setting value of the power relay protection device, and verifying the optimized protection cooperation relationship. According to the method, accurate evaluation and compensation of protection characteristics of different regions are realized, and the technical problem that relay protection setting is difficult to accurately adapt to dynamic characteristics of a system under the condition of new energy access is effectively solved.

The invention relates to the technical field of vehicle control, and discloses a heavy electric vehicle high-voltage power distribution system and a control method. The battery power distribution unit is integrated with a high-voltage main loop on-off module, a centralized pre-charging module and a short-circuit protection module, and is used for centralized on-off control and centralized pre-charging management of high-voltage electric energy; the charging interface is used for external charging; the power electronic unit is integrated with a motor controller, a direct-current converter, an auxiliary system controller and a power distribution module and forms a plurality of high-voltage power utilization loops, and high-voltage electric energy transmitted by the integrated battery power distribution unit is distributed to the high-voltage power utilization loops; the motor controller is configured to actively discharge the high-voltage electric loop; the power distribution system and the high-voltage electric appliance are cooperatively controlled through a whole vehicle CAN network. According to the invention, system architecture hardware simplification is realized by optimizing a whole vehicle CAN network communication mechanism and a whole vehicle high-voltage control strategy, and the reliability and safety of a high-voltage power distribution system are improved through a control mode of centralized pre-charging and sequential enabling of electric appliances.

A phase swapping system is provided for swapping phases in a power distribution system. The system includes an interface circuitry configured to receive, from sensors arranged at buses in the power distribution system, real-time states at current time step, wherein each of the real-time states are associatesd with a complex power flowing from an upstream bus to a downstream bus, one or more processors and a non-transitory computer-readable storage medium having stored thereon executable instructions that, when executed by the one or more processors, cause the phase swapping system to perform steps of determining a multi-step phase swapping action by using the real-time states and a trained optimal policy generating phase swapping commands based on the multi-step phase swapping action, and transmitting, via the interface circuitry, the phase swapping commands to phase swapping devices arranged at around the sensors, wherein the phase swapping devices are configured to perform the multi-step phase swapping action based on the phase swapping commands.