23 results about "Load management" patented technology

The application discloses a low-carbon energy dispatching system of wisdom park source network load storage cooperation, relates to the wisdom park energy dispatching technical field, and the system includes the data acquisition module and gathers the distributed power output, the energy storage charge and discharge state and the load power demand time series data; the prediction analysis module is associated with the power output data and the weather forecast data, generates the short-term output prediction curve; the net load calculation module calculates the difference value of supply and demand, generates the net load fluctuation curve; the energy storage dispatching module plans the energy storage charge and discharge plan by overall planning the peak valley arbitrage and the frequency modulation standby capacity; the load management module generates the load reduction instruction containing the reduction time length and the compensation price by combining the adjustable load response potential and the net load low valley period. The system can improve the energy storage utilization efficiency and the power grid stability, reduce the influence of load reduction on the park power consumption, realize the wisdom park energy low carbonization and fine collaborative scheduling.

The present application relates to the technical field of power equipment, and more particularly to an intelligent thermal management system for a cleaning robot, comprising a state sensing unit, a risk assessment unit, a thermal state calculation unit, a data decision unit, an execution unit and a feedback correction unit, the state sensing unit collects internal temperature, humidity and key component temperature; the risk assessment unit calculates dew condensation trend and overheating trend representation values accordingly; the thermal state calculation unit quantifies the overall thermal state of the system; the data decision unit determines the actual adjustment amount of heating and cooling power based on the above parameters; the execution unit includes heating, cooling and load management modules, and adjusts the output power accordingly; the feedback correction unit corrects the thermal state according to the operation deviation. Through multi-parameter fusion decision and dynamic power adjustment, the present application realizes the collaborative management of heat dissipation and dew condensation prevention, and improves the working reliability of the cleaning robot in harsh environments.

This invention belongs to the field of intelligent industrial load management technology, specifically relating to a load identification and control method and system based on edge AI and online self-learning. It includes the following steps: collecting multi-source heterogeneous raw load data through an edge intelligent terminal deployed on the user side; inputting the load feature data into a lightweight deep learning model deployed on the edge intelligent terminal; initiating an online self-learning process based on the confidence level; generating and executing an optimal control strategy for specific electrical equipment based on a preset finite state machine and multi-objective optimization model, according to the identification results and received power grid control instructions; and uploading the model parameters and control effect data locally on the edge intelligent terminal to a cloud master station for global model aggregation and updating. This invention achieves millisecond-level real-time accurate load identification by deploying a lightweight CNN-LSTM hybrid model on the edge.

The embodiment of the application provides a shaft power generation fuel saving system in a ship power positioning mode, which is applied to the technical field of ship propulsion and control, and comprises: a data acquisition module, which acquires ship wave motion sensing data and generates a three-dimensional wave ship body atlas; a thrust loss prediction module, which predicts the instantaneous immersion depth of a propeller according to the atlas and calculates the instantaneous thrust loss amount in a future time window through a deep learning model; a coordinated control and execution module, which controls the dynamic switching of the shaft power generator between the power generation mode and the electric mode according to the comparison result of the thrust loss amount and a threshold value and sends an unloading signal before switching to the electric mode; and a power grid load management unit, which receives the unloading signal and short-term removes an interruptible load. The application realizes active prediction and dynamic compensation of thrust loss under wave disturbance, stabilizes the main engine speed, recovers energy, guarantees the stability of the power grid through load collaborative management, and improves the safety and economy of ship power positioning operation.

The application provides a flexible radar power supply and distribution system and method based on solid-state power controllers in parallel, the system comprising: a power input module, a main control unit, a CAN communication bus, a primary power distribution layer, a power bus, a secondary power distribution layer and a load array, a plurality of SSPC module-DC / DC module series module groups are connected in parallel in the primary power distribution layer, and a plurality of SSPC modules are arranged in the secondary power distribution layer; the main control unit is responsible for receiving radar working mode instructions, interacting with the lower-level SSPC module and DC / DC module, and automatically realizing network reconstruction of the power supply and distribution network according to system state information; the power input module is used for accessing a primary power supply; the primary power distribution layer is responsible for ensuring the reliability of energy supply; and the secondary power distribution layer is responsible for ensuring the accuracy of load management. The system realizes the leap of the power supply and distribution network from extensive to fine and from static to dynamic intelligence, greatly improving the power supply reliability, energy management accuracy and task resilience of the radar.

Abstract A bidirectional electric vehicle (EV) charger that incorporates blockchain, smart load, and network stabiliser functionalities. The charger can both charge EVs and discharge energy back to the grid during unstable periods. The invention uses measurement of voltage and frequency to detect disturbances, fast home load management for smart load shedding (i.e. adjusting energy consumption based on grid conditions to enhance grid stability), and blockchain technology for secure energy trading between EV owners and grid operators. 12 / 13 BRIEF DESCRIPTION OF THE DRAWINGS Figure-1 shows that how the overall view of the offered invented system. Figure-2 shows the charger’s flowchart of the different mode of operation 12 / 13 BRIEF DESCRIPTION OF THE DRAWINGS Home Solar generation can't be used when grid is off It needs reference and the invented charger can do it. Electric Vehicle Block-Chain Based Smart EV-Charger as a Network Stabilizer - Generate virtual Inertia V2G mode - Use Blockchain base Smart Contracts - Disconnect from the network and using V2H mode - Support as smart load - Using the modern protection scheme to detect grid instability - Support home's solar generation in case of grid outage - Grantee the money back to EV owners in case of grid support Figure-1 shows that how the overall view of the offered invented system. Invented Charger's mode of operation Block-Chain Based Smart EV-Charger as a Network Stabilizer Mode A Mode Mode C Grid support Smart Load Standalone power source Grid unstabale Grid unstabale Independent Detected Detected Power Needed Isolate from Grid Isolate from Grid Direct injecting power to the grid based on the AS4777.2 and utility requirements Smart Load mode, by disconnecting the home loads EV owner can energize from the grid and start supply the home and use the Blockchain Garantee payment and managing the home loads Solar generation in case of grid outage. Off grid camping as Blockchain Garantee payment another example. Blockchain Payment Blockchain Payment Return to Mormal Condition Return to Mormal Condition Figure-2 shows the charger's flowchart of the different mode of operation 20 24 28 71 38 22 D ec 2 02 4 H o m e 2 0 2 4 2 8 7 1 3 8 2 2 D e c 2 0 2 4 M o d e A M o d e B M o d e c S t a n d a l o n e p o w e r s o u r c e G r i d u n s t a b a l e D e t e c t e d D e t e c t e d P o w e r N e e d e d B l o c k c h a i n P a y m e n t B l o c k c h a i n P a y m e n t R e t u r n t o M o r m a l

The application discloses a kind of multi-stage parking lot coordinated charging pile load peak clipping valley automatic regulation systems, it is related to electric vehicle charging load management technical field.In the basis start-stop decision satisfies the total capacity constraint of parking lot unit, obtains charging request set, charging pile account and distribution level, establishes the electrical attribution of charging request and parking lot unit, floor branch, pile group and charging pile;According to floor branch secondary projection, generate adjustable branch projection power and adjustable branch available boundary;When adjustable branch projection power exceeds boundary, eliminate rigid request in candidate over-limit branch, according to preset dictionary order cumulative power that can be moved out, generate sorting prefix minimum conflict request set, and execute after moving, guide or limit power processing;Issue before local review, execute after actual branch power, charging pile response and user guide access result update next regulation cycle Branch safety deduction and request adjustable attribute, to reduce floor branch local overload risk.

A power load management device and method of operating thereof includes a plurality of outputs configured to connect to external loads; a current sensor; and a controller. The controller is configured to perform an output test sequence comprising sequentially measuring a current of each of the outputs by the current sensor; and perform an operating loop comprising switching off the outputs when a total current exceeds a current limit.

The application provides a computing power satellite power distribution device based on an intelligent integrated power chip, a computing power satellite power distribution system and an autonomous energy module for a deep space exploration device. The device comprises a solar panel power distribution bus, a first DC-DC converter, a storage battery and a power distribution box. The solar panel power distribution bus is electrically connected to a DC input end of the first DC-DC converter, and a DC output of the first DC-DC converter is electrically connected to the power distribution box. The solar panel power distribution bus is electrically connected to a charging port of the storage battery, and an output end of the storage battery is electrically connected to the power distribution box. According to the technical scheme of the application, high energy efficiency and high reliable power supply are realized through intelligent power distribution and a dual power supply architecture. The device has nanosecond-level fault shutdown, anti-radiation redundancy protection and fine load management capabilities, and significantly improves the stability, safety and energy utilization efficiency of the computing power satellite in orbit operation.

The application discloses a kind of adjustable potential determination method, device and computer equipment of electric object, wherein the method comprises: determining multiple adjustable potential indexes, wherein multiple adjustable potential indexes include: load management capability, adjustment capacity size, historical credit level;Obtain the index value of electric object under multiple adjustable potential indexes;Based on the index value under multiple adjustable potential indexes, using adjustable potential model, determine the adjustable potential of electric object, wherein the adjustable potential model is constructed based on multiple adjustable potential indexes.This application solves the technical problem of inaccuracy in determining the adjustable potential of electric object in related technologies.

The application relates to the technical field of power supply control and energy management, and discloses a power supply system and method based on dynamic game, which is suitable for multi-source heterogeneous power supply scenes in off-grid, weak network, mobile deployment and complex environments in the wild. The method collects data of a multi-source side, an energy storage side, a load side, an environment side and a link state, constructs a power supply game state, abstracts a power generation unit, an energy storage unit, a load management unit and an energy routing unit into multiple agents, establishes a dynamic game model, generates a joint control strategy based on a benefit function, state transition prediction and rolling time domain solution, and implements cooperative control on power generation equipment, energy storage devices, load access units and power supply paths; in case of faults, link abnormalities, environmental disturbances or load mutations, event-triggered emergency power supply reconstruction is executed; and strategy models, value models and prediction models are updated online in combination with historical experience replay. The application can improve the key load guarantee capability, anti-disturbance capability, self-adaptive reconstruction capability and comprehensive energy utilization efficiency of a field power supply system.

This invention discloses a hierarchical control system and method based on load management, comprising: a control unit, a main load circuit, a first switching unit, and a second switching unit; the first control terminal of the control unit is connected to the input terminal of the primary load circuit through the first switching unit, and the output terminal of the primary load circuit is connected to the primary load; the second control terminal of the control unit is connected to the input terminal of the secondary load circuit through the second switching unit, and the output terminal of the secondary load circuit is connected to the secondary load; the control unit is used to control the on / off state of the primary load circuit and / or the secondary load circuit according to the working state of the automated production equipment. The hierarchical control system provided by this invention, by classifying the load and selecting different levels of load to conduct according to different working states, allows for immediate resumption of production simply by restoring power upon restarting, greatly improving the overall efficiency of the production equipment.

This patent application discloses a backup power system, including a housing. The backup power system is connected to an ATS module system via an automatic load management system and employs a permanent magnet generator set. The housing is a metal shell and also includes an engine and a generator. The engine is encased in a first air guide shroud, and a cooling fan is provided on the cooling air intake side of the engine and / or generator. The generator is encased in a second air guide shroud. An inverter is also included, with a dedicated heat dissipation structure within the housing for housing the inverter. A muffler assembly is further included, with an independent exhaust structure within the housing for housing the muffler assembly. The backup power system of this invention can achieve decoupling of speed and frequency through power electronic control, ensuring the engine always operates in the optimal fuel consumption range. Furthermore, the engine and generator form an integrated or independent air duct, the inverter has a dedicated heat dissipation structure, and the muffler assembly has an independent exhaust structure, resulting in a high-efficiency and effective heat dissipation system.

The embodiment of the application provides a shaft power generation fuel saving system in a ship power positioning mode, which is applied to the technical field of ship propulsion and control, and comprises: a data acquisition module, which acquires ship wave motion sensing data and generates a three-dimensional wave ship body atlas; a thrust loss prediction module, which predicts the instantaneous immersion depth of a propeller according to the atlas and calculates the instantaneous thrust loss amount in a future time window through a deep learning model; a coordinated control and execution module, which controls the dynamic switching of the shaft power generator between the power generation mode and the electric mode according to the comparison result of the thrust loss amount and a threshold value and sends an unloading signal before switching to the electric mode; and a power grid load management unit, which receives the unloading signal and short-term removes an interruptible load. The application realizes active prediction and dynamic compensation of thrust loss under wave disturbance, stabilizes the main engine speed, recovers energy, guarantees the stability of the power grid through load collaborative management, and improves the safety and economy of ship power positioning operation.

The present disclosure relates to a charging management system and a method for this. The charging management system can include at least one first electric vehicle configured to supply energy to at least one second electric vehicle requesting a charging service, and a charging management server configured to monitor the first and second electric vehicles and manage the charging service. The charging management server can be configured to dispatch the first electric vehicle in response to a request from the second electric vehicle based on status information from the first electric vehicle.

The present disclosure relates to a charging management system and a method for its use. The system may include at least one first electric vehicle configured to supply energy to at least one second electric vehicle requesting a charging service, and a charging management server configured to manage a charging service based on a communication protocol between the first and second electric vehicles. The charging management server may be configured to support payment for the charging service by verifying a certificate of the communication protocol for the charging service.

This invention relates to the field of outdoor power management technology and discloses an outdoor power adaptive power allocation and load management system. The system comprises five modules: data monitoring, status analysis, threat assessment, power adjustment, and information structuring. The data monitoring module acquires real-time data on the outdoor power supply's output power and the load's input power; the status analysis module analyzes the load's operating status and generates status signals; the threat assessment module assesses the degree of load anomaly threat based on these signals; the power adjustment module adjusts the power allocation parameters according to the threat level signal; and the information structuring module extracts load element information and generates structured load data units. This system can dynamically monitor power, identify load status, assess abnormal threats, adjust power allocation, and organize data, making it suitable for efficient management of outdoor power supplies in multi-load scenarios.

The present application relates to the technical field of power system load management, and discloses a power consumption load abnormal mode intelligent identification method based on a decision tree model. Historical load power and five-grade declaration control post-power are collected and screened, a comparable day matched with a target day is constructed, and a scene ratio is configured; a reference, a low boundary and a maximum adjustable depth are formed according to discrete time periods, a reference boundary and a reference adjustable power sequence are generated; a declaration adjustable power sequence is converted and characteristics such as reverse order, jump, deviation and first-last difference are calculated, a monotonic adjustable boundary decision tree is constructed, a score and a threshold value are formed in the leaf to screen abnormalities, a mode is given according to the maximum deviation component, and a sequence, positioning and a scene-by-scene abnormal list are output. The scheme can reduce the boundary calculation deviation caused by the mixed use of day types and the rough estimation of the whole day, improve the identification accuracy of multi-scene declaration boundary and the consistency of scene-based load boundary parameter configuration, and reduce the probability of abnormal boundary entering the load control plan.