100 results about "Load leveling" patented technology

The invention relates to a transformer area group optimization method and device, computer equipment and a readable storage medium. The method comprises the following steps: obtaining voltage, current and frequency of each edge node in a to-be-optimized transformer area group, photovoltaic output data of the transformer area group, energy storage charge and discharge state data and electric vehicle charging power data, and presetting various operation constraints set for the transformer area group; and inputting the voltage, the current, the frequency, the photovoltaic output data, the energy storage charge and discharge state data, the electric vehicle charging power data and the various operation constraints into a pre-constructed multi-target optimization model, obtaining optimization strategies meeting the various operation constraints, and performing optimization guidance on the operation of the transformer area group according to the optimization strategies. The transformer area group level multi-objective optimization task is calculated through the cloud high-performance computing cluster, so that an optimization strategy which is more adaptive to the current transformer area group is obtained, edge setting is controlled according to the optimization strategy to execute optimization output, and the load balance and operation robustness of the transformer area group are ensured.

The invention relates to the technical field of power electronics, and particularly provides a double-rectification single-inversion redundant uninterruptible power supply system and a control protection method thereof, and the system comprises a power distribution system, a variable current power module and a control protection system. The power distribution system has double AC inputs, a common DC bus and AC outputs. The converter module comprises three converters, two of which serve as rectifiers and are connected in parallel with the direct current bus, and the other one serves as inverter output. The control method comprises the following steps: in a double-path load balancing mode, realizing power equalization through composite voltage control; in a single-path operation mode, fault seamless switching is realized based on load feedforward and adaptive slope control; in a power distribution mode, triggering according to capacity margin and cooperatively adjusting a droop coefficient based on an optimization target to realize power redistribution; and complete real-time fault protection logic is realized. According to the invention, uninterruptible power supply with high reliability and high electric energy quality is realized, and active regulation and control of power are realized.

The invention relates to the technical field of artificial intelligence, in particular to a load balancing method and device, electronic equipment, a storage medium and a program product, and the load balancing method comprises the steps: obtaining traffic characteristics of communication links between different nodes in a data block migration process of a distributed storage system; determining a load distribution mode of each communication link based on the flow characteristics of each communication link; based on the flow characteristics and the load distribution mode of each communication link, determining hotspot nodes and corresponding service priorities thereof; determining a target hotspot node based on the access frequencies, the data transmission quantities, the node loads and the corresponding service priorities of all the hotspot nodes; and based on the processing performance, the network state and the storage capacity of the node, screening out a target low-load node meeting a preset condition from the distributed storage system, and migrating data of the target hotspot node to the target low-load node. According to the invention, the network flow distribution and node load balancing state can be dynamically optimized.

This application relates to a point-to-point load balancing method, apparatus, device, storage medium, and program product, applied to a first node in an enhanced Ethernet network. The method includes: generating a load balancing task when establishing a service network connection between the first node and a second node; when executing the load balancing task, if the second node is idle, configuring a network test connection between the first node and the second node with a lower priority than the service network connection; performing a load balancing test on the first node and the second node through the network test connection; if the test result shows an unbalanced load, establishing a new network test connection between the first node and the second node, and performing the load balancing test again, until a target network test connection with a load-balanced result is obtained; and replacing the service network connection between the first node and the second node with the target network test connection. This method can achieve point-to-point load balancing in an online environment without affecting existing service traffic.

The application relates to an active equalization system for a BMS and relates to the technical field of battery management.The system comprises a state evaluation module, which is used for performing state evaluation on each battery cell in the BMS to generate a state evaluation index of each battery cell; a path optimization module, which is used for optimizing an energy transmission path according to the state evaluation index of each battery cell to generate a path optimization result; a current equalization module, which is used for calculating an adaptive equalization current based on the state evaluation index of each battery cell and the path optimization result; a loss compensation module, which is used for performing efficiency loss compensation on the BMS based on the adaptive equalization current and the path optimization result to determine a corresponding efficiency loss compensation coefficient; and an active equalization module, which is used for generating an equalization control signal for the BMS based on the efficiency loss compensation coefficient, the path optimization result and a time attenuation factor.The system can improve the accuracy and efficiency of BMS load balancing.

The invention discloses a cluster load balancing method and device, a storage medium, a program product and computer equipment, and the method comprises the steps: determining the node state information of each server node in a cluster, and enabling each server node to be controlled by a plurality of controllers; determining node role information of each server node; and adjusting the control relationship between each server node and the plurality of controllers at least based on the node state information and the node role information, so that the server nodes can be controlled by utilizing the controllers, a load balancing algorithm does not need to be deployed in the server, and the load balancing efficiency is improved. And the control relationship between the controller and the server nodes can be dynamically adjusted according to the node state and the node role information of each server node, so that the load balance of the cluster in the actual operation process is improved, the cluster performance is improved, and in addition, the distribution reasonability of the control relationship between the controller and the server nodes can also be improved.

The invention relates to the technical field of electric vehicle charging facility intelligent control, and discloses a charging pile load balancing method and system based on reinforcement learning. The system comprises a digital twinborn simulation module, a data sensing and processing module, a state characterization module, a double-track decision module, a baseline strategy unit, a shadow learning agent, a safety verification and execution module, a double-path reward calculation module, a shadow experience learning and verification module and an online deployment and continuous learning module. Through the technical path of simulation pre-training, shadow evaluation, safety verification and continuous learning, the problem of high deployment risk of reinforcement learning in a real system is solved, safe and smooth transition from simulation to reality is realized, absolute safety and continuous evolution of system operation are ensured, and the method is suitable for popularization and application. A prospective technical architecture is constructed to cover future scenes, and dynamic collaborative optimization of multiple targets such as charging efficiency, fairness, economy and power grid safety is realized.

The application discloses a circuit and method for improving transient load response of constant voltage power supply, which comprises a voltage regulator and a load balancing structure. The method comprises: when the external load current is in a stable state, the charging diode is in a reverse cut-off state; when the external load current is in an increasing state, the output load voltage of the voltage regulator is in a falling state, the charging diode is in a conducting state, and the energy storage capacitor performs voltage compensation processing on the voltage regulator; and when the external load current is in a decreasing state, the output load voltage of the voltage regulator is in a rising state, and the voltage regulator performs charging processing on the energy storage capacitor. The application can improve the transient load response of the constant voltage power supply, reduce the voltage fluctuation amplitude and accelerate the response speed. The application can be widely applied to the technical field of power supply circuits.

The invention discloses a high-reliability UPS redundant power supply control system, and relates to the field of UPS power supply control. Comprising the steps that a redundant power supply topology module adopts an N + X redundant structure to guarantee power supply continuity, a multi-parameter real-time detection module dynamically collects unit operation and battery state data, an intelligent load balancing control module dynamically adjusts power distribution, a rapid fault isolation and switching module achieves non-interruption switching, and a multiple safety protection module restrains fault expansion. The battery pack intelligent management module optimizes charging and balancing, the remote monitoring and operation and maintenance module supports local and remote management, and the system state self-diagnosis module automatically locates faults and generates reports. The system is excellent in power supply continuity and stability, accurate in load balancing, rapid in fault response and low in energy consumption; the system is high in environment adaptability, supports intelligent operation and maintenance and emergency expansion, is safe and compliant in operation, and comprehensively meets the high-reliability power supply requirements of key scenes.

The application relates to a charging power distribution method based on an intelligent gateway, the intelligent gateway and a storage medium. The intelligent gateway is used for being connected with multiple charging piles and forming a charging network. The method comprises the following steps: determining a candidate charging pile meeting a preset power adjustment condition as a target charging pile according to a candidate charging pile set, the candidate charging pile set comprising multiple candidate charging piles, and the candidate charging pile being a charging pile in a charging state in the charging network; acquiring the maximum available charging power of the candidate charging pile set; and calculating the target charging power of the target charging pile according to a load balancing algorithm and the maximum available charging power. The maximum available charging power of the charging network and the target charging pile are determined by the intelligent gateway, and the distribution power of the target charging pile is calculated by the intelligent gateway according to the load balancing algorithm, so that the charging pile only needs to perform a charging task according to the distribution current, the load balancing function and the charging function of the charging pile are decoupled, and the design of the charging pile is simplified.

The present application relates to electric vehicle charging scheduling technical field, especially to distributed charging pile group dynamic load balancing and power optimization allocation system and method, including: cloud coordinator obtains the space correlation data between piles containing geographical distance and traffic similarity and fuses with historical and weather data, inputs into the spatiotemporal graph neural network prediction model, outputs probability distribution prediction value and prediction confidence interval and issues, edge control node constructs multi-objective optimization model based on prediction uncertainty, generates dynamic allocation table and backup scheme under capacity constraint to minimize charging time and maximize renewable energy consumption as the target, issues allocation table to execute power allocation and obtains actual power feedback, when the actual power exceeds the confidence interval range, switch backup scheme to preferentially reduce flexibility load. The present application effectively improves the deficiency that single-point prediction lacks defense, realizes reliable global dynamic load balancing under the premise of guaranteeing the safe operation of power grid transformer.

This invention relates to the interdisciplinary field of new energy battery health management and artificial intelligence, specifically to a new energy power battery SOH estimation method based on physically guided hierarchical spectral hybrid experts: Incremental capacity physical features are extracted from battery charge-discharge time-series data, and the prior distribution of degradation stages is obtained through clustering; singular value spectral decomposition is performed on the weight matrix of the pre-trained Transformer model, freezing the basic components and dividing the residual spectral space into multiple spectral experts; a hierarchical gated network is constructed with upper-layer radial basis function-based physical routing and lower-layer Softmax-based data-driven routing, and the expert outputs are weighted and fused; a joint loss function including mean square error, monotonicity penalty, route alignment, and load balancing is designed for efficient parameter fine-tuning; finally, the fine-tuned model outputs the SOH estimation result. This invention improves the estimation accuracy and physical consistency throughout the entire life cycle by decoupling the macroscopic degradation stage from local electrochemical fluctuations, and is suitable for online monitoring of the health status of power batteries.

The invention discloses a charging pile distribution system based on dynamic load balancing, and relates to the technical field of intelligent scheduling of new energy automobile charging facilities. Updating the dynamic load characterization information to a central database of the charging pile distribution system; generating a charging pile distribution scheme; and updating the charging service scheduling state. According to the method, the problem that pile position idling and local overload coexist due to traditional static distribution is effectively avoided, and the utilization rate of charging facilities and the operation stability of a power grid are improved; the robustness and service continuity of the system in a sudden high-concurrency scene are enhanced, so that more efficient, reliable and safe charging experience is provided for users, and high-quality development of related infrastructures of new energy automobiles is powerfully supported.

The invention relates to a service bus design and implementation method based on a micro-service architecture, and belongs to the field of micro-services. According to the invention, load balancing and regularized forwarding are supported through the dynamic routing module, the centralized bottleneck is avoided, and the routing efficiency can be effectively improved and the request forwarding delay can be reduced by combining the real-time updating of the service registration center and the dynamic capacity expansion and shrinkage of the adaptive micro-service; the functions of fusing, degrading, current limiting and gray release are integrated, dependence on a third-party component is not needed, the system complexity is reduced, and the service iteration period is shortened; and calling chain tracking is realized based on Trace ID, and log and index analysis is combined, so that the fault positioning time is shortened from an hour level to a minute level, and the operation and maintenance efficiency is remarkably improved.

The invention provides a rapid charging and discharging method and system based on a sodium ion energy storage system, and relates to the technical field of energy storage, and the method comprises the steps: determining the instantaneous heat loss of an energy storage module in a scheduling switching process according to the transient change characteristic and current abrupt change component of the electrode heat behavior of the energy storage module in the scheduling switching process; the instantaneous output power of the energy storage modules in the scheduling switching process is extracted, the distribution state of the thermal load between the energy storage modules is analyzed according to the instantaneous output power and the internal resistance change rate in the scheduling switching process, and then the thermal load balance index of the sodium ion energy storage system in the charging and discharging process is determined; and constructing a thermal cost regulation and control model suitable for the rapid charging and discharging process based on the instantaneous thermal loss and the thermal load balancing index, and adjusting thermal compensation power during scheduling switching in the rapid charging and discharging process through the thermal cost regulation and control model. According to the invention, the dynamic adjustment of the thermal compensation power during the scheduling switching of the energy storage module can be realized, so that the stability of the sodium ion energy storage system in the rapid charging and discharging process is improved.

The invention discloses an energy storage equipment safety prediction management system based on historical data, and the system comprises an equipment data sensing module which is used for designing an electric energy data collection device on a branch between internal battery clusters of any energy storage equipment for collecting the electric energy data of the battery clusters; the battery state analysis module performs standardization processing on the electric energy data, and analyzes the electric energy data by using a pre-trained battery wear prediction neural network to obtain a battery wear state prediction result; and the load balancing management module dynamically selects the batteries to charge and discharge according to the wear state prediction result of each battery in the energy storage equipment. Intelligent and fine management of the energy storage equipment can be realized, the safety and stability of the energy storage system are improved, the operation and maintenance cost is reduced, and the service life of the battery is prolonged. Through the comprehensive management system, the problems of inaccurate data acquisition, untimely state analysis, unreasonable load distribution and the like in traditional energy storage equipment management are solved.

The application provides a rectifier transformer cooperative voltage regulation management method and a rectifier transformer for aluminum foil formation, relates to the fields of SCADA distributed power grid control and power conversion technology, and the method acquires multi-modal slow change characteristic data to perform dissipation evaluation calculation, generates a global fatigue damping coefficient representing cumulative attenuation; meanwhile, based on photovoltaic side electrical transient fluctuation and node load capacity, local transient voltage compensation scalar is calculated; the two are input to the joint mapping logic to output a dynamic compensation weight matrix, and the transient cooperative control instruction for indicating the bottom converter to execute trigger angle bias is generated according to the matrix; and the damping attenuation degradation reconstruction strategy triggered by communication timeout is configured. The application realizes accurate voltage stabilization and group control load balancing in AC / DC conversion network, effectively overcomes the limitation of traditional single-point anti-disturbance which does not take into account the physical attenuation of equipment, and ensures the absolute stability and high robustness of DC power supply under the condition of input power fluctuation.

The invention relates to the technical field of charging pile electric energy management and load control, in particular to a dynamic load balancing control method and system based on real-time power collection. In the method, a station-level controller establishes a charging session with each charging pile, obtains real-time power and user setting information, divides residual charging tasks into a core task segment, a target task segment and an opportunity task segment, and updates the completion progress of each task segment along with time. And the controller generates rigid, semi-elastic and high-elastic tags for each charging session according to the task segment type and the remaining time length from the predicted station leaving time, and the rigid, semi-elastic and high-elastic tags represent the power adjustable degree of each charging session. And when it is judged that the total power needs to be adjusted according to the in-station power and the power constraint condition, the power adjustment priority is determined, and a target power distribution result is generated and issued to each charging pile according to the elastic label in combination with the charging mode and the charging pile adjustment fatigue, so that dynamic load balancing is realized, and the power distribution safety margin and the user charging experience are improved.

The application discloses a load balancing method and device, electronic equipment and a storage medium, and belongs to the technical field of electronic equipment. The method comprises the following steps: in the case that the load of a central processing unit (CPU) core is unbalanced, determining a first CPU core and a second CPU core, wherein the load of the first CPU core is higher than a load threshold, and the load of the second CPU core is lower than the load threshold; determining cache sensitivity scores of at least one task corresponding to the first CPU core according to historical cache miss rates of the at least one task, wherein the historical cache miss rate of a task is negatively correlated with the cache sensitivity score; and migrating a target task to the second CPU core according to the cache sensitivity scores of the at least one task, wherein the target task is a task in the at least one task.

This utility model relates to the field of load balancing technology for electricity meter boxes, and discloses an electricity meter box load balancing system, including an intelligent switch module, a current detection module, and a control module. The input terminal of the intelligent switch module is electrically connected to a three-phase bus, and the output terminal of the intelligent switch module is electrically connected to a user branch. The intelligent switch module is also electrically connected to the current detection module. The control module is signal-connected to the intelligent switch module, and the output terminal of the current detection module is signal-connected to a signal conditioning module. The signal conditioning module is a signal conditioning circuit, and the output terminal of the signal conditioning module is signal-connected to a communication module. The communication module is bidirectionally signal-connected to a host computer. In this utility model, by connecting the output terminals of the three-phase solid-state relay group to user branches respectively, and by controlling the independent on / off switching or phase sequence switching of each user branch through the control module, centralized management of multi-user loads is achieved.

This application relates to the field of data transmission technology, and provides a congestion-aware load balancing method and related equipment. The method includes: obtaining the data packet arrival rate at the ingress port of the destination switch; calculating the queue length variation degree and queue length warning value of the destination switch based on the data packet arrival rate; calculating the instantaneous congestion probability of the destination switch based on the data packet arrival rate and queue length variation degree; and determining the congested links requiring rerouting from all links of the source switch based on the queue length variation degree, queue length warning value, and instantaneous congestion probability, and performing load balancing on the congested links. The method of this application can improve the reliability of load balancing.

This application discloses a load balancing-based traffic replication method and apparatus, and a traffic replication node, and relates to the field of cloud computing technologies. In this application, a traffic replication node is disposed in an infrastructure. The traffic replication node receives a traffic replication rule configured by a user, where the traffic replication rule includes an IP address of a first computing node and an IP address of a second computing node. The traffic replication node receives a first service packet sent by a load balancer node, sends the first service packet to the first computing node based on a destination IP address of the first service packet, generates a second service packet based on the first service packet and the traffic replication rule, and sends the second service packet to the second computing node based on a destination IP address of the second service packet. According to this application, in a load balancing environment, the traffic replication node provides a dedicated computing resource for traffic replication, thereby implementing efficient traffic replication.

The present application discloses a hardware-in-the-loop (HIL) test method and system for a protective device in the technical field of load balancing of computer platforms, and it comprises the following: creating a simulation scenario within an HIL simulation test system; determining the minimum sampling signal required for the normal operation of the protective device under test based on the installation location of the protective device under test in the simulation scenario and creating a current transformer model capable of reproducing a transient saturation scenario; switching on the protective device under test and outputting an electrical signal through the HIL simulation test system;and simulating a fault scenario in the simulation scenario after receiving correct sample values ​​from the protective device, and determining, based on the current signal calculated by the model with the transient saturation properties and the logic check of the protective device, whether the tripping result corresponds to the set value and the tripping logic. The HIL test procedure for a protective device provided in the present application reproduces the actual current under non-ideal fault conditions and thoroughly tests the operating characteristics of the power plant's relay protection device.

This invention discloses a method for rapid power restoration and load balancing control in power outage areas of distribution networks using energy storage collaboration. Relating to the fields of power system automation and distribution network fault recovery, this method first deploys distributed sensing nodes to comprehensively collect multi-dimensional parameters of the power grid topology, node loads, energy storage operation, and environment. Then, based on topological correlation and load characteristics, it clusters and partitions the data, constructing a power supply priority sequence based on multiple factors. Subsequently, it establishes a dual-objective optimization model that minimizes power restoration time and maximizes load coverage, using an algorithm to solve for the optimal energy storage-power supply combination. Next, supported by high-frequency data acquisition, it dynamically adjusts the energy storage power allocation coefficient to achieve load balancing. Finally, it monitors the power supply status and restoration completion rate through a closed-loop system; if the target is met, it moves to the next partition; otherwise, it adaptively adjusts. This method significantly improves the speed of power restoration, load balancing, and power supply reliability in power outage areas, prioritizing the power supply needs of critical loads.

This application discloses a method, device, equipment, and medium for handling stray current in subways. In this embodiment, the electronic device obtains the leakage current linear density distribution function and then determines the optimal boundary point sequence. The optimal boundary point sequence fully considers load balance and structural safety, realizing the dynamic optimal division of the drainage section of the intelligent drainage cabinet, improving resource allocation efficiency, and thus accurately and effectively completing the closed-loop suppression of stray current.

The invention discloses a green hydrogen park low-carbon planning method considering the full life cycle cost of an electrolytic cell, solves the problem of investment return deviation caused by neglecting the performance degradation of the electrolytic cell in consideration of the full life cycle cost of the electrolytic cell, and solves the problem of high scheduling pressure of a superior power grid under high-proportion photovoltaic access through cooperative operation of multi-energy coupling equipment. An electrolytic bath multi-state operation characterization model containing nonlinear hydrogen production efficiency characteristics and unit start-stop logic is established, the efficiency degradation degree is quantified, and load balancing of multiple electrolytic baths can be achieved. A supply and demand mechanism for bringing hydrogen-based equipment into flexible standby resources of the system is established, a new energy-electrolytic cell-stored energy flexible scheduling strategy is provided, and a comprehensive energy system collaborative planning method for overall planning of capacity configuration of multi-energy coupling equipment and multi-scene stable operation of the system is constructed. And collaborative optimization planning considering high-proportion photovoltaic consumption, system low-carbon economy and self-standby capability is realized.

The invention belongs to the technical field of electric vehicle charging, and discloses a parallel resistor number control-based charging communication stability optimization method and system, and the method comprises the steps: capturing the access number of charging guns in real time through a multi-gun detection module, and generating an initial resistance adjustment instruction through a cooperative scheduling module according to a preset corresponding relation table; the impedance control module is combined with a PWM modulation technology and closed-loop control logic to drive the adjustable resistor module to accurately adjust the number of parallel resistors; according to the invention, communication hidden troubles caused by impedance mismatch are avoided, high-frequency noise can be effectively absorbed, faults such as communication error codes and interruption are reduced, and extra current driving loss caused by too small resistance is avoided; custom updating of an access number-initial resistance configuration corresponding table is supported, and the communication impedance requirements of BMS of different vehicle types can be flexibly met; the load balancing algorithm of the collaborative scheduling module can dynamically distribute the working priorities of the charging guns, is adaptive to access scenes of 2-4 or even more charging guns, and does not need to independently research and develop equipment for a specific vehicle type.

The invention provides a load balancing method and device based on dynamic routing, equipment and a medium. The method comprises the following steps: determining routing weights of a plurality of candidate equipment from a routing weight table; the routing weight table is determined based on the basic weight of each computing device in the heterogeneous computing cluster and the difference coefficient of each computing device; the basic weight is determined based on hardware configuration parameters of the computing device; the difference coefficient is used for representing the real-time load deviation of the computing device relative to the most idle device in the heterogeneous computing cluster; and routing the to-be-reasoned request based on the routing weights of the plurality of candidate devices. The optimal processing resource can be matched for the request based on the static hardware performance and the dynamic real-time load mechanism, the capability of high-performance equipment can be fully played, and low-performance equipment is prevented from becoming the bottleneck of the cluster, so that the load balancing condition of the cluster is remarkably improved, and the overall resource utilization rate of the heterogeneous computing cluster is improved.