52 results about "Preventive control" patented technology

The invention discloses a charging pile liquid cooling three-level leakage prevention and pump obstacle prevention intelligent control method and system, and relates to the technical field of liquid cooling control. The charging pile liquid cooling three-level leakage prevention and pump obstacle prevention intelligent control method comprises the steps that S1, liquid cooling monitoring data are periodically collected, and the liquid cooling monitoring data are preprocessed; s2, judging whether an abnormal period exists or not, and evaluating whether a cooling liquid leakage trend exists or not in combination with real-time liquid cooling monitoring data; s3, performing coolant leakage risk grade evaluation, judging the leakage risk grade in the current abnormal period, and executing a corresponding leakage prevention strategy; and S4, in the execution process of the anti-leakage strategy, the running state of the circulating pump is evaluated, and whether the pump obstacle prevention and control strategy is triggered or not is judged. The problem that thermal runaway is caused by the fact that cooling abnormity is not intervened in time due to the fact that leakage of trace cooling liquid in an existing liquid cooling system is difficult to recognize in time and pump obstacles are difficult to pre-judge accurately is solved.

The invention belongs to the technical field of energy grid-connected control, and discloses a distributed energy coordinated optimization system which comprises a local layer, a region layer and a master station layer, the local layer is a photovoltaic cluster virtual synchronous machine control process, the region layer is an energy storage active and reactive coordinated regulation process, and the master station layer is a digital twin driven prevention control process. Three-level cooperation of the local layer, the area layer and the master station layer is a three-level cooperation control flow. According to the method, the voltage control performance is remarkably improved, the voltage qualification rate is improved from 82.3% of traditional control to 98.7%, the average daily out-of-limit frequency is reduced from 11.2 times to 0.8 times, the voltage out-of-limit problem under high-proportion photovoltaic access is effectively solved, the GB / T12325-2008 standard requirement is met, the photovoltaic absorption capacity and the equipment economy are greatly improved, the photovoltaic absorption rate is improved from 76.5% to 95.8%, and the method is suitable for popularization and application. The annual power generation income is increased by about 4200,000 yuan according to 100MWp photovoltaic installation calculation, the OLTC action frequency is reduced to 2.1 times per day from 6.3 times per day, the service life is prolonged by 3.8 times, the maintenance cost is reduced by 57%, and compared with traditional capacity increasing transformation, the cost is reduced by 92% by utilizing existing equipment.

The invention relates to a risk early warning method and device based on new energy output fluctuation and a storage medium, which are applied to the technical field of power system dispatching, and comprise the following steps: obtaining the output deviation level of a generator set under a dispatching output plan through historical data, quantifying behavior deviation and incorporating the behavior deviation into a risk model, the risk assessment result is closer to the physical reality and market environment, and the accuracy and reliability of imbalance risk early warning are remarkably improved; accurate risk early warning is provided before a scheduling plan is executed, so that scheduling personnel can identify potential system imbalance risks in advance and have sufficient time to take preventive control measures, and therefore, occurrence of large-scale imbalance events can be effectively avoided, and safe and stable operation of a power grid can be guaranteed; accurate risk early warning helps to reduce unnecessary standby capacity configuration and emergency control cost, avoids sharp fluctuation of spot market price caused by large-scale output deviation at the same time, and helps to maintain stable and economical and efficient operation of the power market.

The invention discloses an electric power system control method and system based on adversarial training and terminal equipment thereof, and belongs to the field of electric power systems. Updating the discriminator based on the generated track set; obtaining a current state-action value function; updating the generator based on the approximate expert strategy probability and the current state-action value function; when the preset training target is not met, repeatedly executing an interaction action based on the current generator and the current discriminator, and obtaining a correction generator and a correction discriminator which meet the preset training target; obtaining a Markov agent based on the correction generator and the correction discriminator; actual operation data of the power system are obtained in real time, and a prevention and control strategy of the power system is obtained based on the Markov agent and the actual operation data. According to the adversarial training-based power system control method and system and the terminal equipment thereof disclosed by the invention, efficient and stable acquisition of a prevention and control strategy in dynamic operation of the power system is realized.

The invention provides a control method for accurate blanking of a hopper scale, and relates to the technical field of industrial automation and process control, and the method comprises the steps: obtaining the internal density distribution data of a material in a hopper through at least one electrical capacitance tomography sensor; obtaining inter-particle stress data of the material through at least one acoustic emission sensor; taking the internal density distribution data and the inter-particle stress data as observation variables, and inputting the observation variables into a dynamic Bayesian network DBN model; utilizing a DBN model to carry out probabilistic inference on a hidden material state of the material, the hidden material state at least comprising a flow failure probability; when the flow failure probability exceeds a preset threshold value, generating a preventive control signal; a preventative control signal is applied to a flow actuator to correct the flow condition of the material prior to a macroscopic flow failure of the material. The blocking risk can be reduced to the germination state as much as possible in the early stage of formation of the pre-bridging microstructure.

A hydraulic excavator having a plurality of front implement members, including a bucket, has a controller that controls the work implement by using: excavation assistance control that controls the work implement such that the bucket moves along a predetermined target excavation surface; and deviation prevention control that prevents deviation of the work implement from a predetermined work area by decelerating or stopping operation of a subject front implement member that is included in the plurality of front implement members and that can deviate the work implement from the work area. The controller controls the work implement such that when the controller controls the work implement by using both the excavation assistance control and the deviation prevention control, an operation direction of the bucket approximates to an operation direction of the bucket that is to be generated when the work implement is controlled by using only the excavation assistance control.

The invention discloses an electric power system static voltage stability prevention and control method and device, terminal equipment and a storage medium, and belongs to the technical field of electric power system stability control, and the method comprises the steps: obtaining the current generator active output, terminal voltage, reactive compensation, line load, node voltage and node power of an electric power system; inputting the active output, the terminal voltage, the reactive compensation and the line load of the generator into a preset load margin prediction model constructed based on a convex neural network to obtain a first load margin prediction value; inputting the first load margin predicted value, the node voltage and the node power into a preset voltage stability control model to obtain a current control decision parameter of the power system; and finally performing voltage stability control on the power system according to the control decision parameter. By implementing the method, the problems of complex calculation and low solving efficiency of a method for formulating a control strategy by iteratively solving non-convex nonlinear constraints in the prior art can be solved.

The invention discloses an electric power system prevention and control method and system under a time sequence fault based on reinforcement learning, and belongs to the technical field of electric power systems. The method comprises the following steps: acquiring basic operation data of a power system, and constructing an MDP model of prevention control and system dynamic response under a time sequence fault; based on the MDP model and the basic data, constructing a reinforcement learning environment containing load flow calculation, electromechanical transient simulation and quasi-steady state calculation, and an intelligent agent of an Actor-Critic framework; and performing optimization solution through an SAC algorithm, and outputting an optimal operation mode adjustment strategy meeting the transient stability requirement. The method solves the problem of time sequence cascading failure prevention and control, improves the system stability in an extreme scene, minimizes the adjustment cost, has the characteristics of high generalization ability and high response efficiency, and is suitable for prevention and control of extreme failures of a power system.

The application discloses a transient stability prevention control measure generation method and a related system, including the following steps: in a predicted fault scenario, a machine learning model is used to predict the transient stability of the current operation mode of a power system, the input of the machine learning model including various electrical characteristics related to the transient stability of the power system; the operation mode predicted as unstable is taken as an explained sample, a model explanation method is used to determine the influence degree of each electrical characteristic in the explained sample on the transient stability; candidate control units are determined according to the influence degree, and the candidate control units are adjusted, and the machine learning model is used to predict the transient stability of the adjusted operation mode until an operation mode predicted as stable is obtained, so that transient stability prevention control measures are generated. The method improves the explainability of the data-driven transient stability analysis model, the overall scheme requires a short time, and is suitable for online application.

To plan a protection control plan at a low operation cost while satisfying a dynamic constraint condition on reliability in a device for planning the protection control plan by combining preventive control and post-control.SOLUTION: A protection control plan planning device according to the present invention includes a predicted state generation section that generates a future predicted state of a power system, a first protection control plan planning section that plans a first protection control plan of the power system that satisfies a constraint condition related to control of the power system in the predicted state of the power system, a second protection control plan planning section that can plan a second protection control plan of the power system that satisfies the constraint condition when an assumed accident occurs in the predicted state of the power system, and a planning plan change section that creates predetermined information related to the constraint condition for changing a plan content of at least one of the first protection control plan and the second protection control plan when the second protection control plan planning section cannot plan the second protection control plan that satisfies the constraint condition.SELECTED DRAWING: Figure 1

The invention discloses a prevention and control method and system based on distributed near-end strategy optimization, and belongs to the technical field of power systems and automation thereof, and the method comprises the steps: carrying out the parameter initialization of a plurality of local strategy networks based on a learning agent, and obtaining a plurality of initialized local strategy networks; executing a parallel sampling action on the power system simulation model based on the initialized local strategy network, and obtaining current simulation control data corresponding to the power system simulation model; optimizing and adjusting the learning agent based on the current simulation control data to obtain a distributed agent; according to the prevention and control method and system based on distributed near-end strategy optimization, real-time scene data of an electric power system are obtained, a prevention and control strategy is obtained, and transient stability of the electric power system is achieved based on the prevention and control strategy. And the high-dimensional power grid state processing efficiency is improved.

This application relates to methods and apparatus for clipping prevention. A driver apparatus for driving a load with an output signal has a switching driver with a switch network and a modulator configured to control the switch network to switch output nodes between different switching voltages with a controlled duty-cycle. A quantizer controller receives a quantizer input signal based on an input signal and a feedback signal and controls the duty-cycle of the switch network. A clipping prevention controller is configured to control a gain applied to the input signal so as to provide limiting of the input signal to avoid clipping, wherein the clipping prevention controller is configured to dynamically control at least one limiting threshold used to determine when to apply limiting of the input signal based on an indication of said quantizer input signal.

An overflow prevention control method for a dispenser, a dispenser, and a storage medium. The dispenser is arranged with an ingredient outlet and a water tank, and the water tank is arranged with a level sensor. The overflow prevention control method includes: detecting, via the level sensor, a first liquid level height of the water tank; and enabling a target filling mode and a target overflow protection according to the first liquid level height; where the target filling mode is at least one of an automatic filling mode or a manual filling mode, and the target overflow protection is at least one of an automatic filling overflow protection or a manual filling overflow protection.

The invention discloses a transient stability control method and system for a power system, and belongs to the technical field of power systems, and the method comprises the steps: constructing a power system environment simulation model and an initial Markov model; based on the initial Markov model, the discrimination strategy model and a preset generation strategy model, repeatedly executing a discrimination generation update action, obtaining a target agent network parameter, and constructing a target agent based on the target agent network parameter; and acquiring real-time power system operation data, and outputting a target regulation and control strategy based on the target intelligent agent and the real-time power system operation data so as to realize prevention and control of transient stability of the power system based on the target regulation and control strategy. According to the transient stability control method and system of the electric power system, the technical problems of unstable training and low sample efficiency in the prior art are solved, the process of simulating learning training is more stable, and the stability and reliability of transient stability control of the electric power system are effectively improved.

The embodiment of the invention provides a combined type air conditioning unit intelligent energy saving method and system based on multi-dimensional environment perception, and is applied to the technical field of building energy management and heating ventilation air conditioner automatic control management. A thermal response phase difference and a heat attenuation rate are obtained through time sequence analysis, and then a thermal disturbance intensity index representing the heat flux change trend is generated; meanwhile, an illumination intensity abrupt change time window is identified based on the sun position and the facade optical attribute. By integrating the load control instruction based on the thermal disturbance index and the prevention control instruction based on the sudden illumination change, the air conditioning unit is driven to adjust the running state at the load inflection point or before the sudden illumination change occurs. According to the invention, the conversion from lag control to look-ahead control is realized, and the energy consumption of the system is obviously reduced on the premise of ensuring the comfort of the indoor environment.

The invention discloses a vehicle stability control method, electronic equipment and a program product, and the method comprises the steps: collecting an image of a road surface in front of a vehicle through a camera module, and obtaining a current road surface adhesion coefficient based on image recognition processing; the angular position information of the motor is acquired in real time by injecting a high-frequency signal into a motor winding and combining a sliding mode observer; calculating a real-time slip rate of the vehicle based on the angular position information of the motor; determining the optimal slip rate of the target according to the current road adhesion coefficient; and comparing the real-time slip rate with the target optimal slip rate, and adjusting the motor control torque according to the comparison result, so that the real-time slip rate approaches the target optimal slip rate. According to the invention, prediction and active adjustment can be carried out before the wheel has a slip trend, feed-forward prevention control is realized, and the stability and safety of the vehicle are greatly improved.

The application belongs to the technical field of intelligent control, and relates to a low-voltage draw-out switch cabinet interlocking intelligent control method and system. The method acquires real-time load distribution, equipment state, drawer operation frequency, operation time window and environment temperature data, generates an abnormal index set, extracts equipment vibration amplitude and contact resistance change, determines a high-risk operation group, combines behavior parameters, operation duration, environment temperature and load distribution bias to determine a conflict coefficient, blocks an operation instruction path and generates a blocking signal when the conflict coefficient exceeds a preset threshold, generates a safety response parameter based on a matching result of a historical short-circuit risk scene and a current power grid state, generates a safety interlocking confirmation signal and updates a load distribution model, and outputs a prevention signal or maintains a normal operation path according to a predicted load peak value. The application can provide processing basis for operation instruction path blocking, release and prevention control.

The invention discloses a safety boundary relaxation method and system based on section transmission limit improvement, and the method comprises the steps: carrying out the transient stability evaluation of a data sample of a power system, and building a data driving model of the output and load level of a system generator and a transient stability index; the transient stability level of each part of the line after the fault in the sample is evaluated, and a transient instability probability model is established according to the length ratio of the transient instability line to the total line obtained through evaluation; establishing a prevention and control model for actively controlling the unstable state system to a stable state, and controlling the unstable state system to be within a preset transient stability margin value; solving the transient instability risk of the power system under the transmission power limit of each section, and gaming with the benefit of adequate improvement after the transmission limit is improved to obtain the optimal relaxation degree of the system security boundary; by improving the section transmission power limit, the safety of the power system is met, and meanwhile, the adequacy of the system is improved.

The invention discloses a control system and a control method for the safe oxygen content of a coal injection pulverized coal bunker, and relates to the field of pulverized coal pulverization and injection of an iron-making blast furnace. The method has the beneficial effects that the micro negative pressure state of the pulverized coal bunker is established and intelligently controlled, so that the suction of external air is substantially reduced from the source, the active preventive control of the oxygen content is realized, and the intrinsic safety level is remarkably improved. And residual nitrogen after pressure relief of the injection tank is used as a main purging gas source, and a siphon natural exhaust and dust remover variable-frequency regulation technology is supplemented, so that an energy-saving mode of treating waste with waste is constructed, the dependence on external nitrogen is reduced to the greatest extent, and the nitrogen consumption and the electric energy consumption are both reduced. In addition, negative pressure interference of upstream and downstream equipment can be effectively blocked, operation is stable and reliable, and remarkable economic benefits and environmental protection benefits are obtained while safety production is guaranteed.

The present application relates to a kind of modular integrated system of frequency converter control cabinet, belong to power electronics field, wherein, the system includes: energy distribution module, signal processing module, operation control module and protection module;Pre-judge the energy demand trend of electrical components when working condition switches, dynamically allocate redundant energy supply reserve, establish energy supply parameter self-calibration closed loop;Extract signal exclusive feature code to distinguish effective signal and interference signal, introduce signal transmission delay dynamic compensation logic, real-time calibration signal output rhythm;Build abnormal working condition prediction model, obtain operating state data, identify potential deviation risk, establish dynamic control threshold self-adaptation mechanism and start preventive control measures;Protection module senses environmental interference factors, dynamically matches protection strategy, according to environmental change and protection feedback continuously optimizes protection strategy.The system realizes the collaborative integration of multiple modules, and can improve the operation stability and environmental adaptability of frequency converter control cabinet.

The application belongs to the technical field of power grid operation risk prevention and control, and discloses a power grid prevention-emergency collaborative control method and system considering resource dynamic allocation, which comprises the following steps: determining a prevention control risk boundary and an emergency control risk boundary respectively; on the basis of the prevention control risk boundary and the emergency control risk boundary, a prevention-emergency collaborative control model is established with the least sum of prevention control stage cost and emergency control stage cost as the target; and the prevention-emergency collaborative control model is iteratively solved to obtain a system resource allocation strategy and a prevention-emergency collaborative control strategy with the lowest collaborative control cost. The application can realize risk-driven resource dynamic allocation to solve the problem that prevention control measures in a power system cannot dynamically match resource intensity according to operation risk.

The invention relates to the technical field of hydraulic engineering monitoring devices, in particular to a water gauge device for measuring the water level of a river channel, which comprises a water gauge scale column, a diversion slope structure, a guide plate, a support reinforcing structure and a control device. The control device monitors hydrological data in real time through the water level sensor and the flow velocity sensor, and the microprocessor calculates instantaneous impact force based on an impact force model and dynamically adjusts the slope shape of the diversion slope structure, so that an impurity diversion path deviates from the central axis of the water gauge scale column. The adaptive algorithm module learns and optimizes model parameters through historical data and generates a preventive control instruction; and the remote communication module realizes remote data transmission. Through cooperative work of mechanical flow guide and intelligent control, the interaction mode of water flow and sundries is changed, the impact load is reduced, sundries are prevented from being accumulated, the stability of the water gauge is remarkably improved, and the water level monitoring continuity is guaranteed.

The invention discloses a power-traffic coupling system prevention and control method for toughness improvement. The method comprises the following steps: 1) obtaining network parameters and operation parameters of a power system and a traffic system; 2) acquiring scene data, including active load and reactive load of a power system, travel demands of different starting and ending points in a traffic system, and proportions of electric vehicles; 3) based on the acquired network parameters, the operating parameters and the scene data of the two systems, constructing an operating constraint under a conventional working condition and an operating constraint under a fault working condition; and 4) based on the constructed constraint, taking a price signal and distributed power supply output as regulation and control objects, and taking minimization of the operation cost of the two systems under a conventional working condition as a target function, establishing a power-traffic coupling system prevention and control model oriented to toughness improvement, and solving to obtain a prevention and control strategy for ensuring the operation safety of the power-traffic coupling system after the fault.

This invention discloses a method and terminal for preventing and controlling cascading trips in AC / DC hybrid power grids. It obtains a numerical change control model of the reactive power and node voltage at the energy grid-connected nodes of the AC / DC system. Based on the numerical change control model, a static voltage stability margin is created to represent the significance of node voltage fluctuations caused by reactive power changes. Preset safety constraints for the corresponding AC / DC system. Using the reactive power of the energy grid-connected nodes as input and maximizing the static voltage stability margin as the objective function, combined with the safety constraints, a cascading trip prevention and control model is created. This invention improves the prevention and control of voltage instability faults in AC / DC systems under new energy scenarios, providing a reliable guarantee for the safe and stable operation of power grids with a high proportion of new energy.

The invention discloses an energy storage fire control system based on the Internet of Things, and belongs to the technical field of the Internet of Things, and the system comprises a data collection module which is used for collecting the temperature data of the internal and external environments of target energy storage equipment; the data processing module is used for receiving the temperature data acquired by the data acquisition module in a preset time period, calculating a heat transfer coefficient between the internal environment and the external environment of the target energy storage equipment based on the Newton's law of cooling, and judging whether the target energy storage equipment has heat management abnormity or not according to the heat transfer coefficient; and the fire-fighting early-warning module is used for generating fire-fighting early-warning information and sending the fire-fighting early-warning information to maintenance personnel when the thermal management is abnormal. According to the invention, the heat transfer coefficient of the energy storage equipment is monitored, and fire protection hidden dangers caused by faults, aging and the like of the equipment are found in advance, so that the fire protection hidden dangers of the energy storage equipment are prevented and controlled.

The application discloses the technical field of power system automation control, and relates to an uncertainty power grid preventive control measure optimization method and system and a storage medium, which comprises the following steps: constructing a power grid operation mode uncertainty domain; constructing a power grid operation stability domain; constructing a power grid preventive control model according to the power grid operation mode uncertainty domain and the power grid operation stability domain and solving the model; and performing time domain simulation checking on the power grid preventive control model to obtain optimized uncertainty power grid preventive control measures. The application improves the ability of the power grid to cope with uncertainty risk scenarios and improves the utilization rate of power transmission equipment.

The invention discloses an SF6 circuit breaker arc extinguishing medium anti-liquefaction device, method and system and a storage medium, and the device comprises a temperature measurement unit which is used for monitoring the environment temperature and the air chamber housing temperature; and the gas taking and heating recharging unit is used for heating and pressurizing the gas flowing into the heating recharging unit from the gas chamber according to the measured temperature so as to charge the heated gas into the gas chamber. The method comprises the steps that an environment temperature threshold value and a shell temperature threshold value are preset; environment temperature data are obtained, and when the environment temperature value is smaller than or equal to a preset environment temperature threshold value, an anti-liquefaction device is started; air chamber shell temperature data are obtained, when the shell temperature value is smaller than or equal to a preset shell temperature threshold value, the anti-liquefaction device is kept running, the next step is executed, and otherwise, running of the anti-liquefaction device is suspended; acquiring environment temperature data, and executing the previous step when an environment temperature value is smaller than or equal to a preset environment temperature threshold value; otherwise, stopping the anti-liquefaction device. On the premise that the structure of the circuit breaker is not changed, preventive control over low-temperature liquefaction of the arc extinguishing medium is achieved.

The application discloses a kind of identification method, system, device and medium of swing and instability between generating units, belong to electric power technical field.The method includes the following steps: obtaining generator power angle curve after time domain simulation;According to the obtained generator power angle curve, obtain accelerating instability machine group and the instability time of each unit;According to accelerating instability machine group and instability time, obtain the relative swing index of each generator, to realize the identification of swing and instability between generating units.The application obtains the dynamic information of generator according to time domain simulation, identifies accelerating instability machine group and the instability time of each unit therein, calculates the relative swing index suitable for stable, instability unit, can provide accurate instability machine group and its control priority for transient stability prevention control of dispatching operation.

The invention provides a power system transient stability prevention and control method and device and electronic equipment, and the method comprises the steps: constructing a transient stability evaluation model based on deep learning and confidence correction for a power system; interacting with a power grid simulation environment of the power system by using a preset optimization algorithm, and constructing a prevention and control prior knowledge base; based on the prevention and control problem of the power system and the prevention and control prior knowledge base, constructing a deep reinforcement learning prevention and control model based on demonstration, and determining a reinforcement learning training environment; and embedding the transient stability evaluation model into the reinforcement learning training environment, and carrying out data driving and model mechanism collaborative hybrid decision and training. According to the invention, the efficiency of transient stability evaluation and the reliability of a control strategy are remarkably improved, and the unification of rapidness, accuracy and economy of a prevention and control decision is realized.

The application discloses a charging pile liquid cooling three-level leakage prevention and pump barrier prevention intelligent control method and system, and relates to the technical field of liquid cooling control. The charging pile liquid cooling three-level leakage prevention and pump barrier prevention intelligent control method and system comprises the following steps: S1, periodically collecting liquid cooling monitoring data, and performing pretreatment on the liquid cooling monitoring data; S2, determining whether an abnormal period exists, and evaluating whether a cooling liquid leakage trend exists in combination with real-time liquid cooling monitoring data; S3, performing cooling liquid leakage risk level evaluation, determining a leakage risk level in the current abnormal period, and executing a corresponding leakage prevention strategy; and S4, during the execution of the leakage prevention strategy, evaluating a circulating pump operation state, and determining whether a pump barrier prevention control strategy is triggered. The problems that micro cooling liquid leakage in an existing liquid cooling system is difficult to identify in time, pump barrier prevention is difficult to accurately predict, and cooling abnormalities are not intervened in time, thereby causing heat runaway, are solved.