4620 results about "Power grid" patented technology

This disclosure provides an X-ray imaging device and its power distribution unit and wireless power transmission device. The power distribution unit includes: a first rectifier circuit, a charging circuit, an energy storage module, and a first inverter circuit; the input terminals of both the first rectifier circuit and the charging circuit are connected to the external power grid; the output terminal of the first rectifier circuit is connected to the input terminal of the first inverter circuit, and the output terminal of the first inverter circuit is connected to the wireless power transmission device of the X-ray imaging device; the output terminal of the charging circuit is connected to one end of the energy storage module, and the other end of the energy storage module is connected to the input terminal of the first inverter circuit. In this disclosure, the power supply from the power grid and the power supply from the energy storage module are in parallel, which can reduce the imaging device's demand on the power grid capacity. Since the charging circuit only participates in the charging process of the energy storage module and does not participate in the discharging process of the energy storage module, it can realize simultaneous charging and discharging of the energy storage module, and there are no excessive requirements on the power level of the charging circuit, which can reduce the cost of the charging circuit.

The invention provides a flywheel energy storage system with an electromagnetic coupler, which comprises a motor, a flywheel rotor, the electromagnetic coupler, a frequency converter and a generator, and is characterized in that the motor is connected with the flywheel rotor to drive the flywheel rotor to rotate, the electromagnetic coupler comprises an outer rotor and an inner rotor, and the outer rotor sleeves the inner rotor and is spaced from the inner rotor; the flywheel rotor is in transmission connection with the inner rotor, the inner rotor generates a rotating magnetic field to drive the outer rotor to rotate, and the frequency converter is connected with the outer rotor to change the current frequency of the outer rotor so as to change the magnetic field rotating speed matched with the current, so that the mechanical rotating speed of the outer rotor is kept constant. The generator generates power, accesses the power grid and inputs electric energy with stable frequency into the power grid, the requirement of power transmission to the power grid is met, power electronic devices are not needed, rotational inertia in the power grid can be improved, necessary voltage and frequency support is provided for the power grid, and the capacity of the power grid for efficiently accepting new energy is improved.

Disclosed is a system and method for automated outage and workflow planning system in a distributed electrical power grid with planned de-energization of electrical equipment as opposed to responding to an unplanned power outage. An automated system provides core conflict resolution and power outage planning. The present invention automatically notifies requestors of upcoming work orders. In addition, the present invention reduces scheduling inefficiencies by requiring requestors to confirm, decline, or edit on the fly their pending work order(s). The system also determines if all the orders are not completed and places the order back on the calendar for another day.

This invention relates to the field of power grid analysis technology, and particularly to a power grid analysis method, system, and storage medium that takes into account the time-varying inertia of new energy sources. The method includes: collecting power and grid frequency data at the grid connection points of new energy power plants; calculating dynamic characteristics and constructing a time window matrix; constructing a physically constrained neural network model, training it with a composite loss function of data and physical laws, and evaluating the time-varying inertia and damping of the new energy sources; establishing electromechanical wave equations that take into account the aforementioned time-varying parameters, and using an inertial distribution Gaussian model to map the discrete unit inertia and damping into a spatially continuous distribution function; designing a multi-rate collaborative mechanism to couple the parameter evaluation and numerical solution processes of the electromechanical wave equations, generating a spatiotemporal cloud map of frequency disturbance propagation, and identifying risk propagation paths and key control nodes. This invention effectively solves the problem of inaccurate frequency disturbance propagation analysis caused by the difficulty in capturing the time-varying characteristics of inertia after large-scale new energy integration.

The application relates to the technical field of micro-grid control, in particular to a photovoltaic storage and charging micro-grid control method and system for a weak power grid. The method comprises the following steps: acquiring a photovoltaic panel information set, analyzing the coupling influence of light reflection and internal load impact on the photovoltaic panel based on the photovoltaic panel information set, and obtaining a photovoltaic panel dynamic disturbance information set; acquiring a fish farm information set, analyzing the multi-objective coordination and trade-off relationship between fish farming demand and power generation demand based on the fish farm information set and in combination with the photovoltaic panel dynamic disturbance information set, and obtaining an optimized scheduling information set; generating a multi-end coordinated control strategy based on the optimized scheduling information set, and outputting a photovoltaic storage and charging micro-grid control log. The method makes the micro-grid load disturbance analysis more accurate and builds a data foundation for collaborative regulation of breeding and power generation.

The application discloses a kind of power energy storage online maintenance equalization management method and system, belong to power energy storage technical field.The method includes: multi-source heterogeneous data acquisition and pre-processing;Battery health state evaluation;Equalization demand evaluation based on deep reinforcement learning;Self-adapting equalization strategy generation;Equalization strategy simulation verification;External alternating current power supply circulating equalization execution and dynamic monitoring;Maintenance decision generation based on time series prediction network.The system includes multi-source heterogeneous data acquisition module, battery health state evaluation module, equalization demand intelligent evaluation module, self-adapting equalization strategy generation module, digital twin simulation verification module, external equalization execution control module, maintenance decision intelligent generation module and cloud edge collaborative communication module.The application uses external alternating current power grid power supply, realizes energy external circulation, does not consume battery pack itself energy;And the precise equalization and predictability maintenance of this energy storage system, significantly improve equalization efficiency, reduce operation and maintenance cost.

This invention discloses a series-parallel hybrid power flow control method and system, applied in the field of power grid power flow control. The method includes: determining power grid demand information based on key operating data of the transmission network; determining the equivalent active power control quantity of UPFC, the equivalent power flow regulation quantity of SSSC, and the equivalent reactive power control quantity of STATCOM based on the quantification results of the demand information, the first constraint data of the series-parallel hybrid power flow control device, and the second constraint data of the transmission network; and injecting equivalent voltage and equivalent current into the transmission network through the series-parallel connection of UPFC, SSSC, and STATCOM to regulate the key operating data of the transmission network. When power flow control is required in the transmission network, this invention injects controllable voltage and current into the transmission network through UPFC, SSSC, and STATCOM to achieve adaptive control of power flow on transmission network lines.

This application relates to a three-phase imbalance monitoring method and apparatus for a reverse power control cabinet. The method includes: real-time acquisition of a first target parameter of the reverse power control cabinet; determining the current imbalance degree of the reverse power control cabinet based on the first target parameter, and determining an influencing factor based on the current imbalance degree; determining the load type of the reverse power control cabinet, and adjusting a threshold range according to the load type; inputting historical imbalance degrees into a preset long short-term memory network model to obtain a predicted imbalance degree, comparing the current imbalance degree and the predicted imbalance degree with the adjusted threshold range to obtain a first comparison result, and comparing the influencing factor with a safety margin to obtain a second comparison result; determining the imbalance state level based on the first comparison result and the second comparison result, and determining a monitoring strategy for the reverse power control cabinet based on the imbalance state level. The reverse power control cabinet in this application belongs to the smart grid industry within the new energy industry.

The present application discloses a method and device for constructing a digital power system based on multifunctional intelligent agents. The method comprises: respectively extracting feature production element data and control production element data from power data of a power plant side and power data of a power grid side; constructing a target data vector on the basis of a power function requirement, and determining key control production element data associated with the power function requirement; using an artificial intelligence algorithm to learn a mapping function between the target data vector and the key control production element data, constructing a functional operator using the mapping function as a core, and constructing an intelligent agent on the basis of the functional operator; and adding intelligent agents corresponding to a plurality of different power function requirements into a digital power system as power function implementation units. The system can realize data-driven diversified and digital power functions, and implement more accurate capturing of the relationship between data, thereby forming high-value data assets in the power system.

This invention belongs to the field of power electronics and electric vehicle charging technology, and discloses a bidirectional electric vehicle charger topology, control method, and system, including a grid-side module, an AC-DC module, and a DC-DC converter. The grid-side module includes a three-phase power supply from the grid, a first-phase resistor Rga, a second-phase resistor Rgb, and a third-phase resistor Rgc. The AC-DC module includes a power switching transistor group, a first capacitor C1, and a second capacitor C2. The three-phase output terminals of the grid power supply are respectively connected to the first-phase inductor Lga, the second-phase inductor Lgb, and the third-phase inductor Lgc. This invention eliminates the need for additional filtering hardware, reducing manufacturing costs, physical size, and system complexity, while improving power density and reliability. It can accurately locate and specifically compensate for critical harmonics of specific orders in the power grid, and can quickly and in real-time track and suppress dynamically changing harmonics and transient disturbances.

The present application relates to a kind of microgrid optimization scheduling method and system combining double-layer game and A3C, comprising the following steps: constructing source-grid-load-storage integrated microgrid model;With the total income of maximum microgrid operation as the goal, combined with the operation constraints of microgrid, the constraints of different external environmental conditions factors on the on-site renewable energy power output, power constraint and microgrid power supply and demand balance constraint, establish the microgrid optimization scheduling model based on A3C;Extract state space feedback from environment, make pricing decision through upper Stackelberg game, as the leader of large power grid, the decision of microgrid as follower obtains current power purchase and V2G usage, updates price signal;Solve the trained microgrid scheduling model, obtain the strategy output by lower reinforcement learning at current time step.The present application has the advantages of realizing dynamic price signal closed-loop linkage, suppressing early convergence through adaptive exploration, etc.

The embodiment of the application provides a temperature control method, system, vehicle and computer readable storage medium, the method comprises: receiving temperature adjustment information and target vehicle time sent by a man-machine interaction terminal, wherein the target vehicle time is the coordinated universal time obtained by converting the local vehicle time set in advance based on the target time zone, and the target time zone includes the current time zone of the man-machine interaction terminal or the preselected time zone; in the case that the vehicle and the external power supply device establish a connection, the temperature of the power battery of the vehicle is adjusted by using the electric energy of the external power supply device, so that the power battery reaches the temperature range corresponding to the temperature adjustment information at the target vehicle time. The application solves the technical problems of unreliable and inaccurate response of the power battery reservation type preheating control function based on the grid electric energy due to the lack of a unified time reference.

This application relates to the field of three-phase distribution network fault detection and location technology, and discloses a method, device, system, and storage medium for fault location in distribution systems. It addresses the problem of low accuracy in fault identification and location in existing solutions due to poor traceability of PMU measurement data and high computational costs. The method includes: acquiring power grid data collected by acquisition units located on the distribution network of the distribution system; fusing the three-phase π model and state estimation equations characterizing the distribution network branches to obtain equations corresponding to the distribution branches, and solving them to obtain theoretical values; using a threshold filtering method to remove data with numerical fluctuations exceeding preset conditions from the power grid data, and compensating the removed power grid data based on the data acquisition accuracy to obtain target power grid data; using the LNR algorithm to perform fault detection based on the target power grid data and theoretical values; and employing a multi-stage candidate branch location strategy to locate the fault when it is detected.

The present invention relates particularly to a method for operating and / or decarbonizing industrial production processes, preferably coating processes such as zinc plating, wherein a heated molten material is provided and / or kept available, the molten material is selectively heated by at least one electric heating device and / or at least one non-electric heating device, and where there is surplus power in the power grid, at least a portion of it is taken from the power grid and used to operate the electric heating device.

This system enables energy management that automatically creates an economically efficient operating schedule for energy storage devices, taking into account electricity procurement costs. [Solution] Customer 5 is equipped with an electrical load 25, a solar power generation device 50, and energy storage devices 20, 30, and is capable of buying and selling electricity to and from the power grid 3. Server 10 creates an operation schedule for the energy storage devices 30, 40 for the next day based on the power procurement unit price for each of several time slots that divide the next day's 24 hours, the predicted power generation amount by the solar cells 50 and the predicted power consumption amount of customer 5 for each of the multiple time slots, and the comparison and determination result of the power procurement unit price and determination threshold in the time slot group that includes the default operating candidate period for the energy storage devices 30, 40 among the multiple time slots. HEMS 20 generates operation commands for the energy storage devices 30, 40 according to the operation schedule created by Server 10.

The application discloses a kind of wind light storage micro-grid optimization operation method and system.The method adopts three-layer architecture of top optimization, middle layer cooperation and bottom execution, and forms the intelligent closed loop of " prediction-planning-coordination-execution-feedback ".Top is based on LSTM prediction and traffic jam algorithm to carry out global power flow congestion identification and dredging, and utilizes improved particle swarm algorithm in feasible interval to carry out multi-objective fine optimization, and generates optimal operation instruction;Middle layer dynamically adjusts optimization target weight according to operation scene, and decomposes instruction into multiple device cooperation strategy;Bottom execution customized control algorithm, realize device accurate regulation and millisecond level fast protection.The application effectively solves the problems of micro-grid multi-objective cooperative optimization, prediction control disconnection and operation risk foresight protection, and significantly improves the voltage stability, economy, dynamic response speed and safety and reliability of system operation.

This invention discloses an integrated relay protection and communication management system for new energy power plants, relating to the field of power grid protection and monitoring technology. It includes a power management module, a signal acquisition module, an execution module, a fault acquisition and protection processing module, and a communication management module. The power management module converts AC input to DC output. The signal acquisition module acquires analog and status signals. The fault acquisition and protection processing module performs protection logic operations and generates protection action signals when a fault occurs. The execution module sends control signals to external devices based on the protection action signals or user instructions. The external devices adjust accordingly to ensure safe operation. The communication management module communicates with the host computer and acquires data from the slave computer. This invention integrates relay protection and communication management, saving installation space at the power plant, reducing on-site configuration complexity, and improving the selectivity and flexibility of power plant equipment protection.

This application relates to a method for generating a power grid dispatching scheme. The method includes: acquiring building information model data of a target building; the building information model data including at least spatial layout information and power supply structure information of the target building; dividing the target building into multiple target power grid dispatching blocks based on the spatial layout information and the power supply structure information; acquiring power load data within each target power grid dispatching block, and determining a power grid dispatching strategy based on the power load data within each target power grid dispatching block; the power grid dispatching strategy is used to adjust the power distribution relationship between at least two of the target power grid dispatching blocks. This method can meet the charging needs of residents with limited power supply capacity.

When establishing a work stop plan in a power system, it is difficult to consider whether it is possible to simultaneously stop all combinations of work, and reduction of arbitrary combinations reduces the explainability and index in the work stop plan. In order to solve this problem, provided in a power system is a work stop plan creation assistance system that comprises at least a processing unit and a storage unit and receives, as inputs, work list data including one or more tasks, system configuration data, and future prediction scenario data including future demand prediction or renewable energy output prediction. The processing unit: uses data from the storage unit to extract a facility in which a power flow changes by a prescribed amount when the facility is stopped due to work; calculates flow sensitivity for the extracted facility; uses the flow sensitivity to extract the most severe condition of an objective function or a constraint function for a work stop plan; calculates the value of the objective function or the constraint function when the work was performed in accordance with the most severe condition; and determines the importance from the calculated value when the work was performed.

The application discloses a high-safety power distribution equipment for a smart grid, which belongs to the technical field of the smart grid, and through cooperation of a dynamic mounting part and a suction and release plate, an electrical element prone to heating is alternately in contact with two heat absorption sections on the suction and release plate, so that the heat absorption efficiency is prevented from being reduced due to continuous temperature rise of a single heat absorption section, in a further improvement, the heat absorption section is selectively attached to a heat accumulation partition plate through magnetic attraction, the unattached side is automatically popped open to be exposed to a heat collection space for rapid heat dissipation, the heat absorption section can also be composed of multiple stacked heat absorption sheets, the area is doubled after being popped open, and the attachment state can be monitored through an electromagnetic strip and a pressure sensor, even the sheets are repeatedly opened and closed to disturb air flow, so that the heat transfer and heat exchange rate are significantly accelerated, local heat accumulation hazards are effectively eliminated, and the safety and stability of long-term high-load operation of the power distribution equipment are ensured.

We provide a multi-port interleaved charge pump bidirectional DC-DC converter that allows multiple ESSs to be connected to a DC microgrid system with a single bidirectional DC-DC converter. [Solution] The system comprises two two-phase interleaved charge pump bidirectional DC-DC converters, three charge pump capacitors, and a drive circuit that controls each switch of the DC-DC converters. The negative terminals of the two DC-DC converters are common-connected, the low-voltage sides of the two DC-DC converters are connected to two different low-voltage DC voltage sources, the high-voltage sides of the two DC-DC converters are multiple-connected, and the inductors that constitute the interleaved system but are not connected to the charge pumps are connected to the connection point via three charge pump capacitors and connected to one high-voltage DC voltage source.