20 results about "Voltage collapse" patented technology

The invention relates to a vehicle output voltage adjusting method and device, a storage medium, a product and a vehicle. The method comprises the steps that under the condition that a vehicle transmits electric energy to a power grid, an alternating current voltage value currently output by an OBC is adjusted according to reactive power currently output by the OBC and a current bus alternating current voltage value of the power grid, so that the bus alternating current voltage value of the power grid is within a preset range. Under the V2G scene, the alternating current voltage value output by the vehicle can be controlled by controlling the reactive power output by the OBC, so that the stability of the bus alternating current voltage value of the power grid is improved, the voltage safety of the power grid is ensured, and the risk of voltage collapse of the power system is reduced.

The invention relates to the technical field of new energy grid-connected system stability analysis, in particular to an SVC new energy short-circuit ratio margin assessment method, system equipment and a medium, and aims to accurately correct a real-time voltage support strength assessment model of a new energy access point by dynamically integrating SVC reactive compensation capacity into a short-circuit ratio calculation process. The defect of system strength misjudgment caused by neglecting reactive compensation in a traditional method is overcome; analyzing a static voltage stability limit based on the maximum transmission power of the new energy, and accurately defining a critical short-circuit ratio as an instability boundary threshold value; a margin index is calculated through a difference value between a short-circuit ratio and a critical short-circuit ratio, the safety redundancy of the system is directly quantified, and a single-station independent access and multi-station strong coupling scene is compatible with the positive and negative characteristics of a unified margin criterion, so that the prevention and control capability on the voltage collapse risk of a high-proportion new energy power grid is remarkably improved; and a grounding stability decision basis is provided for new energy station planning and site selection, SVC reactive compensation configuration and power grid operation scheduling.

The invention discloses an energy distributed control method and system applied to a micro-grid system, and relates to the technical field of distributed energy control, and the method comprises the following steps: collecting a voltage phase angle sequence at a key node of a micro-grid, constructing a phase angle extrusion dynamic fingerprint band based on the voltage phase angle sequence, and forming a time distribution rule of phase angle extrusion; and calculating an extrusion strength index according to the phase angle extrusion dynamic fingerprint band, mapping the extrusion strength index into a dynamic margin parameter of the reactive power compensation device, and limiting a reverse absorption trigger threshold according to the dynamic margin parameter. According to the method, distributed reactive power regulation and control are realized through phase angle extrusion dynamic characteristics, so that the micro-grid has adaptive stability under a multi-source fluctuation condition. The reactive power compensation device performs smooth output according to extrusion characteristics, eliminates reverse absorption and keeps voltage stable; the energy storage device implements self-adaptive derating by relying on a bus voltage dynamic support curve, coordinates active and reactive output, prevents voltage collapse, and improves the overall operation safety and continuity of the system.

An example is a method. A pseudo array supply voltage (VDDAI) of a bitcell power tracking column for a memory array is determined by a write assist circuit coupled to the memory array. An actual VDDAI provided to a bitcell in the memory array during a write operation, based on the pseudo VDDAI of the bitcell power tracking column, is tracked by the write assist circuit. A collapse level of the actual VDDAI to the bitcell is controlled during the write operation, based on the tracking.

This invention discloses a method and system for low-voltage busbar protection in distribution networks based on directional blocking. The method includes: S1. Real-time acquisition of current signals on the busbar and each branch circuit; S2. Calculation of current surges on the branch circuits, and determination of whether the current signal is abnormal based on the magnitude of the current surges; S3. When the current signal is determined to be in an abnormal state, the fault direction of the current is determined based on a current direction function; S4. The fault location is determined based on the fault direction of the current, and blocking logic is constructed based on the fault location. Determining the fault direction of the current based on a separate current direction function effectively overcomes the problem of overcurrent protection being prone to false tripping or failure to trip due to distributed power source access, and solves the problem of protection failure when the busbar voltage collapses. The method also has high speed of operation, meeting the rapid isolation requirements of active distribution networks to prevent cascading disconnection.

This invention discloses a method, device, and medium for coordinated control of DC power supply, load, and energy storage in a data center, belonging to the field of DC power supply control technology. The method includes: extracting the state of charge (SOC) value at the moment of an event, the time integral of the absolute value of charging and discharging power within a preset time period before the event, and the time constant for the discharge power to rise from its initial value to its peak value after the event, establishing a three-dimensional mapping relationship; constructing an instantaneous response capability evaluation function for the energy storage system based on the three-dimensional mapping relationship, and predicting the time constant; substituting the predicted time constant, the equivalent capacitance of the bus, and the preset maximum load step amplitude into the voltage dynamic response equation to obtain a predicted voltage drop depth; when the predicted voltage drop depth exceeds the voltage collapse threshold, calculating a dynamic adjustment margin value, and invoking distributed power sources and load regulation to move the SOC value to a safe region. This invention achieves dynamic quantitative evaluation of the instantaneous response capability of the energy storage system, reducing the risk of bus voltage collapse.

The application relates to the technical field of voltage management, in particular to a power distribution network voltage management device, which comprises a data acquisition module, a data calculation module, an abnormality judgment module and a negative feedback module. The application significantly improves the voltage stability and power supply reliability of the power distribution network by monitoring and analyzing the key parameters of the power system in real time. The automatic abnormality judgment and load adjustment mechanism of the device not only reduces human intervention and operation errors, but also effectively prevents the risk of voltage collapse and power supply interruption by quickly responding to voltage deviation and stability problems. In addition, the closed-loop control strategy enables the system to dynamically adjust the load change rate threshold according to real-time feedback, enhancing the adaptive ability of the system and ensuring the stability of the voltage under various loads and operating conditions. In the long term, this intelligent voltage management helps to reduce power loss and prolong the service life of power equipment.

The application relates to a power grid safety and stability operation mode pre-control method and device; the method comprises the following steps: establishing a plurality of sets of operation mode simulation models according to preset operation data; determining all risks under each set of operation mode simulation models; simulating the development of power grid safety and stability operation mode pre-control for all scanned risks to obtain simulation pre-control results meeting stability criteria; and determining corresponding pre-control parameters according to the simulation pre-control results of each set of operation mode. The scheme of the application formulates a safety and stability operation mode pre-control method, effectively improves the safety and stability of regional power grid operation, reduces the influence of faults on the interconnection of AC and DC receiving ends in heavy load areas, guarantees the safety and stability of the power grid, and avoids the situation that DC blocking, AC system voltage collapse and other large influences are caused by faults.

The invention provides a micro-grid on-grid and off-grid all-condition simulation circuit, which comprises a data processing unit, a power grid architecture model, an energy storage unit model, a load unit model and a power supply unit model, and is characterized in that the power grid architecture model comprises a section I bus, a section II bus and a power transmission line; the energy storage unit model, the load unit model and the power supply unit model are configured in the range of the I-section bus and the II-section bus in a high-voltage direct hanging mode, and loads in the range of the I-section bus and the II-section bus are unequal. According to the invention, the source, the network, the load and the operation mode of the micro-grid are used as a whole for systematic testing for the first time, and the limitation of traditional single fault simulation is avoided. Potential risks such as grid-connected and off-grid switching failure and voltage collapse can be exposed in advance, and passive-to-active conversion is realized. A simulation result is directly used for guiding energy storage capacity configuration, protection constant value setting, control strategy optimization and equipment type selection, and the success rate and reliability of actual engineering are remarkably improved.

The invention provides a power grid voltage stability margin optimization control method, and belongs to the field of power grid voltage optimization control. The method comprises the following steps: acquiring multi-source data influencing the voltage stability margin of a power grid based on a deployed data acquisition sensor; preprocessing the multi-source data by using various systematic processing methods to generate a standardized data set; constructing, training and optimizing a mixed deep learning model, and generating a voltage stability margin early warning level and a corresponding energy storage cooperative regulation and control demand; building a block chain alliance chain architecture, and designing a smart contract and data chaining rule; executing distributed energy storage collaborative optimization regulation and control, and maintaining the voltage stability margin of the power grid in a preset range; and monitoring the operation state and execution data of the power grid after collaborative optimization regulation and control, and verifying the voltage stability margin improvement effect. According to the invention, the dynamic adaptation of the operation state change of the power grid is realized, the dispatching instruction issuing and execution response time is shortened, the safety space of the voltage stability margin is expanded, and the voltage collapse risk of the power grid is reduced.

This invention belongs to the field of communication equipment security protection technology, and discloses a method for characterizing the static safety margin of power systems based on the truncated polynomial approximation method. This method first maps the load growth factor to complex-domain embedded variables, establishing a fully embedded power flow model; then, it expands the system state variables into high-order truncated polynomials, transforming nonlinear terms into linear convolutions between coefficients through Cauchy products, and solving for the polynomial coefficients using linear recursion; subsequently, it constructs Padé approximation rational functions to achieve analytical extension, directly calculating the high-load operating condition solution exceeding the original series convergence radius; finally, through a multi-stage continuity tracking strategy, it adaptively approximates the voltage collapse critical point, synthesizing the system's static safety margin. This invention abandons the reliance of traditional iterative algorithms on Jacobian matrix inversion and initial value guessing, fundamentally avoiding numerical ill-conditioned problems near the critical point, and achieving rapid characterization of static safety margins with large step size, high precision, and global robustness.

The invention discloses a power distribution network low-voltage bus protection method and system based on directional locking. The method comprises the steps that S1, current signals on a bus and all branch circuits are collected in real time; s2, calculating a current break variable on the branch circuit, and judging whether the current signal is abnormal or not based on the size of the current break variable; s3, when it is judged that the current signal is in the abnormal state, the fault direction of the current is judged based on a current direction function; and S4, judging a fault position based on the fault direction of the current, and constructing locking logic according to the fault position. The fault direction of the current is judged based on an independent current direction function, so that the problem that over-current protection is easy to operate by mistake or reject to operate due to access of the distributed power supply is effectively solved, and the problem of protection failure when the bus voltage collapses is solved; the method also has high speed, and meets the quick isolation requirement of the active power distribution network for preventing chain off-network.

The invention relates to a vehicle control method and a vehicle, and belongs to the technical field of vehicle control, and the method comprises the steps: obtaining an environment temperature, and determining the total peak current, corresponding to the environment temperature, of all loads to be started in a load characteristic database; estimating and determining the internal resistance value of the corresponding storage battery by using the storage battery internal resistance model; combining the total peak current, the internal resistance value and the open-circuit voltage of the storage battery, calculating a minimum voltage point when the to-be-started load is started at the same time, comparing the minimum voltage point with a preset safe voltage threshold value to obtain a comparison result, and determining that the starting strategy of the to-be-started load is peak shifting starting or parallel starting based on the comparison result; the starting time of the to-be-started loads is determined based on the starting strategy, the to-be-started loads are controlled to be started based on the starting time, the voltage collapse risk caused by simultaneous starting of multiple loads can be effectively avoided, and the starting reliability and stability of the vehicle electronic system in the low-temperature scene are improved.

The invention provides a multi-section transmission power optimization method and device, equipment and a storage medium, and relates to the technical field of electrical engineering, and the method comprises the steps: generating a sample data set according to power grid parameters; evaluating the power limit of each power transmission section in the sample data set by using an integrated learning model; for any power transmission section, the optimization process is executed and comprises the following steps: S1, calculating the sensitivity of the power transmission power of the section when the power is injected into the generator so as to determine a target generator; s2, calculating an average value of a node voltage stable state and a maximum value of a voltage collapse critical point; s3, calculating the difference between the actual power and the target power of the section; and S4, taking the power limit as a constraint, and selecting at least one item from the voltage index and the difference value according to the difference value to construct a reward function. And S5, adjusting the output of the target generator through a reward function to converge the actual power of the section to the target power. According to the application, the output of the generator is dynamically adjusted by fusing the ensemble learning evaluation and the multi-index reward mechanism, and accurate optimization of the transmission power is realized.

The embodiment of the specification provides a data screening and sorting method and device of a power system, wherein the data screening and sorting method of the power system comprises the following steps: determining an initial power system, determining an observation bus based on the initial power system; wherein the initial power system comprises at least two buses; determining an initial power parameter based on the observation bus, determining a target power system based on the initial power parameter; simulating the target power system based on the reactive power parameter, determining a power simulation result; sorting and screening data of the at least two buses based on the power simulation result, and determining a sorting result and a screening result. By determining how close the load at the nodes of the buses is to the limit of the system that can be powered before voltage collapse occurs, the fault screening problem is solved, and the sorting accuracy is improved.

The invention relates to the technical field of electronics and electrical, in particular to a USB charging line automatic power-off method and system based on short circuit detection, and the method comprises the steps: confirming a charging detection environment based on a USB charging detection instruction, and carrying out the current and voltage analysis of a current sampling unit and an MOS power-off unit through a microcontroller in a circuit control board, obtaining a current transformation time sequence, a current abrupt change rate, a voltage transformation time sequence and a voltage collapse rate, calculating a circuit anomaly index according to the current abrupt change rate, the voltage collapse rate and the transient response duration, and performing short-circuit evaluation on the basic parameter set based on a pre-constructed circuit analysis model to obtain a short-circuit danger probability. And calculating a short-circuit state score according to the circuit abnormity index, the short-circuit risk probability and the short-circuit risk coefficient, determining a charging termination device based on the short-circuit state score and the operation charging device, and completing automatic power-off of the USB charging line. According to the invention, the short circuit risk of the USB charging line can be identified in advance, and the accuracy and timeliness of automatic power-off are improved.

The invention discloses a power grid load and equipment reactive voltage dispatching system, relates to the technical field of power system operation and control, and aims to solve the technical problem that current power grid reactive voltage dispatching has hysteresis quality and is difficult to quickly stabilize power grid charges. Comprising a data acquisition module, a data processing module, a scheduling decision module, an execution control module and a communication module used for data interaction among the modules, and the data processing module is in communication connection with the data acquisition module and used for preprocessing, analyzing, predicting and storing acquired data. According to the method, through accurate prediction (based on the LSTM / SVM model) of the load trend in the future 15 minutes to 2 hours, the system can predict the voltage fluctuation risk, a scheduling strategy is generated in advance, passive response is changed into active defense, voltage collapse or out-of-limit accidents are effectively prevented, and the method has the advantages that repeated oscillation and conflicts of different devices are reduced, and the operation stability of a power grid is improved.

The invention relates to the technical field of power grid safety protection, in particular to a new energy double-layer combined control strategy method, system, equipment and medium, and the method comprises the steps: monitoring the operation condition, constructing factors based on a multivariate analysis method, and quantifying the node danger level; designing a multi-device collaborative dynamic compensation scheme according to different danger level node features; constructing an upper-layer optimization model according to the constraint condition; constructing a lower-layer optimization model according to load control and forming a joint decision; based on the joint decision model, a two-stage algorithm is adopted for optimization, and a control strategy is obtained; a two-stage grey wolf algorithm is introduced for optimization, so that a compensation and load shedding control strategy can be quickly generated in the operation of the power grid; core parameters are set, an initial solution space is formed, and it is guaranteed that the optimization process covers the whole variable range; and through a fitness evaluation mechanism, switching an objective function according to a voltage collapse proximity factor, and realizing adaptive optimization in an operation state.

The invention discloses a data center direct current power supply load storage cooperative control method and device and a medium, and belongs to the technical field of direct current power supply control. Comprising the steps of extracting a charge state value at an event occurrence moment, a time integral value of a charge and discharge power absolute value within a preset time period before the event occurrence moment and a time constant of the discharge power rising from an initial value to a peak value after the event occurrence, and establishing a three-dimensional mapping relation; constructing an energy storage system transient response capability evaluation function according to the three-dimensional mapping relation, and predicting a time constant; substituting the predicted value of the time constant, the bus equivalent capacitance value and the preset maximum load step amplitude into a voltage dynamic response equation to solve and obtain a voltage drop depth predicted value; and when the voltage drop depth estimated value exceeds a voltage collapse threshold value, calculating a dynamic adjustment margin value, and calling a distributed power supply and load adjustment to enable the charge state value to move to a safe area. According to the invention, dynamic quantitative evaluation of the transient response capability of the energy storage system is realized, and the bus voltage collapse risk is reduced.

The application relates to a sodium-ion start-stop battery low-temperature starting and self-adaptive control method and system based on MCU-BMS cooperation. The method comprises the following steps: collecting cell temperature, pole or shell temperature and environmental temperature to form a temperature feature set; collecting terminal voltage and current and calculating an equivalent internal resistance parameter; determining a starting capability window from the temperature feature set and the equivalent internal resistance parameter and controlling starting discharge, recording starting electric parameter features to generate a recharging boundary condition; combining the temperature feature set, the equivalent internal resistance parameter and the recharging boundary condition to generate a target recharging voltage and its change rate constraint and implementing recharging, and updating control parameters according to recharging execution results and battery state feedback. The system comprises a sodium-ion start-stop battery body, a temperature sensing component, an electric parameter collecting component, an MCU controller, a BMS and a recharging adjusting interface. The application can limit starting voltage collapse and current impact at low temperature, improve cold starting success rate, and simultaneously make the recharging voltage adaptively and smoothly adjusted with the internal resistance, and improve low-temperature recharging stability.