41 results about "Load leveling" patented technology

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 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 application provides a fault processing method, device, equipment and storage medium. The method comprises the following steps: obtaining a timestamp of a load balancer instance from a load balancer instance data table, wherein the timestamp is used to represent the time of the last received heartbeat packet of the load balancer instance. If the timestamp is expired, a state interface of the load balancer instance is called to query the state of the load balancer instance. According to the state of the load balancer instance, the load balancer instance is processed. The method of the application avoids the situation of resetting the load balancer instance by mistake, improves the fault processing accuracy of the load balancer instance, and improves the user experience.

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 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 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 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 specification provides a load balancing-based request distribution method and device, and relates to the technical field of load balancing. The method comprises the following steps: monitoring the connection quantity of a plurality of service instances, the service instances corresponding to weights; determining whether the plurality of service instances satisfy a balance condition according to the connection quantity, the balance condition comprising: the proportion of the connection quantity between the service instances being equal to the proportion of the weights between the service instances; if the balance condition is not satisfied, selecting an abnormal service instance from the plurality of service instances; adjusting the weight of the abnormal service instance, so as to distribute connection requests to the abnormal service instance according to the adjusted weight, and make the connection quantity of the plurality of service instances satisfy the balance condition. The above method can avoid the problem of load inclination caused by uneven request distribution.

The improved Louvain-based voltage sensitivity power distribution network cluster division method belongs to the field of power system operation and planning. In view of the problems that after high penetration rate distributed photovoltaic is accessed, the traditional partition only depends on the topological structure, ignores the voltage autonomous ability of the cluster and the calculation load balance, and voltage out-of-limit and low collaborative calculation efficiency are easily caused, the improved Louvain-based voltage sensitivity power distribution network cluster division method first obtains a voltage sensitivity matrix through a power flow Jacobian matrix transformation, defines a node electrical distance and constructs a partition weight matrix; secondly, a comprehensive performance index system including electrical modularity, voltage support ability and cluster uniformity is established; finally, an improved Louvain algorithm is adopted to maximize the comprehensive index as the target to iteratively combine adjacent clusters, and the optimal partition result is selected. The improved Louvain-based voltage sensitivity power distribution network cluster division method realizes the collaborative optimization of the cohesion, functional autonomy and uniform scale of the cluster structure, improves the voltage self-regulation ability of the power distribution network, avoids the calculation load imbalance, and is suitable for the partition operation and collaborative control of large-scale distributed photovoltaic power distribution networks.

The application discloses a transformer multi-node load dynamic distribution optimization method and system, and relates to the technical field of transformer control. The method comprises the following steps: for multiple transformer nodes, a physical distribution layer is formed by connecting active impedance decouplers in parallel on the low-voltage side; load migration balance is realized by monitoring electrical data and triggering corresponding decouplers through local controllers and based on equivalent impedance adjustment; when the load turns into a high-load scene, fundamental wave and harmonic multi-objective optimization is carried out according to power quality data feedback to the central control; and centralized load distribution management is carried out according to the strategy. The technical problems that in the prior art, when load distribution is carried out by relying on centralized control, the communication burden is heavy, the response delay is large, and the physical layer lacks cooperation during optimization, resulting in difficulty in considering power quality and load balance, are solved, the technical effect that distributed dynamic balance of multiple transformer loads is realized through self-adjustment of the equivalent impedance of the physical layer, and global optimal distribution is realized by combining centralized optimization, and the response speed of the system and the power quality are improved.

This invention proposes an intelligent charging management and optimization method and system for power banks, comprising: constructing a digital twin model based on power data; analyzing user charging behavior patterns, identifying the current charging scenario type, and predicting charging demand; generating scenario feature vectors based on scenario type and demand prediction results, and inputting them along with the power bank's health status parameters into a reinforcement learning model to generate a charging strategy; acquiring feedback information from the charged device, fine-tuning charging parameters based on the feedback information, monitoring the load balancing status between charging ports, and regenerating the charging strategy when an anomaly occurs; evaluating the power bank's battery health by comparing the deviation between the digital twin model's predicted values ​​and actual sensor data, and adjusting the charging strategy when the health level is below a preset threshold; and optimizing the decision-making ability of the reinforcement learning model using the operating experience of multiple power banks. This invention achieves intelligent, personalized, and long-term efficient power bank charging management.

An apparatus includes first and second power supply units connected in parallel to supply power to a system load, a load sharing bus extending between the first and second power supply units, an electronic switch positioned in the load sharing bus between the first and second power supply units, and a system controller having a control line connected to the electronic switch to control the electronic switch to be in a closed condition or an open condition. The closed condition of the electronic switch connects the first power supply unit to the load sharing bus and the open condition of the electronic switch disconnects the first power supply unit from the load sharing bus. The first and second power supply units are configured to supply power to the system load regardless of whether the electronic switch is in the closed condition or in the open condition.

This application belongs to the field of nuclear power plant production planning technology and discloses a method and system for peak shaving and shutdown of multiple units in a nuclear power plant. The method calculates the estimated start and end times of major overhauls for each unit, performs multiple rounds of priority ranking of all units based on the type of grid dispatch instructions and multiple influencing factors, and outputs the final unit operation priority sequence to guide peak shaving, deep peak shaving, shutdown, or power increase operations. The system includes an overhaul prediction module, a multi-factor evaluation module, a dynamic ranking engine, and a ranking output module. This application adapts to the external power grid environment, coordinates the management of multiple units in a nuclear power plant, reduces operating costs, ensures safe operation, maximizes operating profits, reduces human error, and provides decision-making references for peak shaving and shutdown operations in nuclear power plants.

The application discloses a kind of intelligent comprehensive power box power supply optimization method and system, including through the multidimensional perception array of deployment in intelligent comprehensive power box.This application significantly improves the power supply efficiency and reliability of intelligent comprehensive power box by whole-link data refinement processing and dynamic optimization;Combined with the power prediction curve output with confidence interval of LSTM and SVR fusion model, accurately capture the nonlinear fluctuation of load and new energy, significantly improve the prediction robustness;Thirdly, a multi-objective optimization function including the whole life cycle cost, voltage deviation and load balancing degree is constructed, and the Nash equilibrium algorithm is introduced to solve the power distribution strategy of source-grid-load-storage units.Under the premise of ensuring voltage stability and load balancing, the economic operation goal of the lowest whole life cycle cost is realized, and finally the collaborative action of each actuator is realized, effectively solving the problems of poor data quality, low prediction accuracy and difficult optimization scheduling in traditional power box.

This invention relates to the field of mobile computing devices and energy management technology, and particularly to a dual-battery cell management method and system for industrial mobile devices. The method includes the following steps: splitting the battery pack of the industrial mobile device into two independent cells, connecting them in parallel to an intelligent power management unit, and configuring each cell with a fast-charging circuit, so that each fast-charging circuit forms a dual-path independent closed-loop control path with an external power supply, the corresponding cell, and the intelligent power management unit. This invention, through parallel connection of dual cells, intelligent power management, and dual-path fast-charging control, combined with dynamic load balancing, fault isolation, and load-adaptive power supply strategies, achieves safe and efficient application of batteries in industrial mobile devices, thereby improving charging efficiency and battery life stability, and enhancing battery life and safety.

The system quickly controls the increase or decrease in power consumption in response to requests regarding increases or decreases in power consumption. [Solution] A control device for controlling power consumption in a service provision system that provides services using servers located at multiple geographically dispersed locations, comprising: a target power setting unit that sets a target power value for a location based on any or more of the following: requests for an increase or decrease in power consumption at the location where the server is located, the electricity charges at the location, and the amount of power generated at the location; and a load balancing setting unit that performs load shifting based on the target power value and taking into account the number of requests per unit time between the multiple servers.

The application discloses an automatic uniform load leveling sling and a control method thereof, and belongs to the technical field of hoisting equipment. The sling body comprises a steel frame, fixed hoisting points are arranged at four corners of the steel frame, and movable hoisting points are arranged on the side beams. A data acquisition module comprises tension, stroke, inclination sensor and gyroscope. An execution module comprises a linear drive mechanism and an electric hoist. The controller synchronously collects posture and tension data, combines the hoisting cable included angle directly measured by the inclination sensor, decomposes the tension into vertical lifting force, and solves the real-time gravity center coordinates with high precision. The system generates control commands according to the priority rules of the gyroscope posture, overload protection and real-time gravity center coordinates, and drives the linear drive mechanism and the electric hoist to dynamically adjust the position and lifting state of the movable hoisting points. The application effectively solves the uneven force problem caused by the gravity center deviation under the cable-stayed working condition, and greatly improves the leveling accuracy and system safety of the hoisting operation.

This invention relates to the field of smart microgrid energy management technology and discloses an integrated smart footwear storage location management system, including a distributed resource storage module, a load flux coupling monitoring module, a dynamic virtual impedance generation module, and a load balancing scheduling control module. By monitoring the load flux density of logical partitions in real time to construct a nonlinear dynamic virtual impedance, and combining it with the correlation coupling degree model to calculate the comprehensive acceptance potential energy, load scheduling instructions are generated. This invention utilizes an embedded negative feedback saturation suppression loop to exponentially increase the impedance when the flux density approaches the threshold, forcibly suppressing the load adsorption capacity of high-heat nodes, and realizing dynamic power balance between energy flow and information flow within the system.

This invention discloses a link encryption device, system, and method with self-loaded cascaded hot standby functionality, relating to the field of network security technology. The device, based on conventional optical communication service interfaces, integrates a physical routing switching module and cascaded redundant interfaces. The physical routing switching module monitors the device status and, when the device is functioning normally, directs service traffic to its local encryption module for encryption before direct output. In the event of a power outage or failure, it automatically switches the physical link, redirecting traffic from the service interfaces to the cascaded redundant interfaces. Through this invention, the primary device acts as a traffic-driving node at the physical media layer in a faulty state, transparently transmitting external traffic to the backup device for encryption, and then transmitting the processed traffic back through the primary device. This invention eliminates the dependence on external load balancers and complex network configurations in dual-machine hot standby networking, achieving high availability under single-node physical access and reducing network construction costs and complexity.

This application provides a dual-mode charging pile control method and device based on NTC thermal management and load balancing, relating to the field of charging pile control technology. The method involves acquiring first temperature data from each output interface, second temperature data from internal power devices, and third temperature data from the input interface. If none of the first, second, or third temperature data exceeds a preset temperature threshold, the rate of change of each first temperature data is calculated according to a preset sampling period to obtain the corresponding interface temperature change rate. A target to be charged is acquired, and the target interface is connected to the target to be charged, and the target temperature change rate of the corresponding target interface is found. Within the total power limit, load balancing calculations are performed on the target to be charged based on the rate of change of each target temperature to obtain the charging strategy for the target to be charged. The on / off state and charging period of the target to be charged are controlled according to the charging strategy.

This invention discloses a thermal stress balancing design method and module layout for a modular power supply system, comprising the following steps: Constructing a thermoelectric synergistic coupling network: The high-current bus between power modules is designed as a heat pipe-conductor composite structure, with an inner conductive core and an outer heat pipe structure. Joule heating generated by the current drives the circulation of the heat pipe working fluid, simultaneously achieving power transmission and heat dissipation; Dynamic load balancing control: Power distribution between modules is adjusted through thermal stress feedback. When the temperature of a module exceeds a threshold, a predictive control algorithm transfers part of the load to a low-temperature module. Combined with the thermal coupling effect of the bus heat pipe, a dual-balance closed loop of electrical load and thermal load is formed. This invention, with its integrated thermoelectric synergistic design, achieves deep coupling of power transmission and heat dissipation through the heat pipe-conductor composite bus, breaking through the limitations of traditional independent designs for electrical transmission and thermal management, significantly reducing system thermal resistance and improving heat dissipation efficiency.

Systems and methods for establishing mesh connectivity among electric vehicle (EV) chargers within a network, leveraging Sub-GHz networking for enhanced communication. The method involves configuring a mesh network architecture connecting existing EV charging units, a host application, and a user application. Load balancing mechanisms consider the building's power usage beyond EV charging units, ensuring efficient energy distribution in real-time. Power allocation to EV chargers is dynamically adjusted based on load balancing metrics. The mesh network is seamlessly integrated with an internet backbone, facilitating communication with user devices such as smartphones and vehicles. This enables efficient communication between charging stations and a hosting application, allowing real-time monitoring and management of the charging network's power supply. The user application offers remote monitoring, scheduling of charging sessions, and billing functionalities, enhancing user experience and system efficiency. Some example embodiments include programs to connect the user application, host application, and mesh network.