155 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 discloses a cross slope prevention and control method and system for manufacturing a large-section split type steel box girder, and the method comprises the steps: obtaining steel box girder data which comprises the length of the steel box girder at a certain position, the Poisson's ratio of steel, the curvature radius of the steel box girder at a certain position, and the curvature radius of the steel box girder in a reference state; a cross slope change evaluation model of the steel box girder is set, the cross slope change index of the steel box girder at a certain position is calculated according to the data of the steel box girder, and the cross slope change evaluation model of the steel box girder comprises calculation of the temperature at the certain position when the steel box girder is manufactured and calculation of the stress distribution index at the certain position when the steel box girder is manufactured; and a cross slope threshold value is set, and when the cross slope change index exceeds the cross slope threshold value, warning information is sent out until the cross slope change index is lower than the cross slope threshold value.

The invention relates to the field of vehicle control, in particular to a battery cell safety thermal management system for an electric vehicle and an intelligent control method. According to the invention, the differential sensors are arranged in the key area of the battery system and redundancy design is adopted, so that all-directional and multi-dimensional monitoring of the temperature field of the battery is realized; a high-heat scene is pre-judged through an extreme working condition heat production prediction model, a grading early warning mechanism is combined, the heat risk grade, the battery damage stage and the user requirement of a cross-country scene are accurately matched, full-chain protection of prevention, control and emergency is achieved, the influence of excessive intervention on the cross-country performance is avoided, and system safety under the extreme working condition is ensured; the hysteresis of the prediction model is made up through a transient protection mechanism, the prediction lag of the heat production prediction model under the extreme working condition is supplemented through immediate response aiming at the sudden working condition, the thermal runaway risk caused by the time difference of a prediction-execution chain is avoided, and meanwhile, the performance is prevented from being sacrificed due to excessive protection through the strategy of combining short-time redundancy with dynamic falling back.

The invention relates to the technical field of power grids, and discloses a power station resonance multi-modal monitoring and distributed control method for path aggregation impedance, and the method comprises the following steps: constructing a high-dimensional tensor through obtaining time-varying impedance data of a power station, and carrying out the decomposition to extract a resonance mode; constructing a stable manifold by using modal features, and describing a stable boundary of the system; the resonance risk is quantified by calculating the geometric distance between a future state point and the stable manifold, and finally an optimal preventive control strategy is generated according to a risk assessment result; the system comprises a data acquisition and construction module, a resonance mode decoupling module, a stable manifold construction module, a resonance risk assessment module and a distributed cooperative control module. According to the method, the resonance mode is accurately identified through tensor decomposition, the nonlinear stable boundary is constructed by using manifold learning, the prospective quantitative evaluation of the resonance risk and the intelligent preventive control are realized, and the active safety of power station operation is remarkably improved.

The invention belongs to the technical field of new energy automobile charging equipment, and relates to a charging pile power adaptive adjustment system and method based on temperature feedback, and the method comprises the steps: carrying out the data fusion of a plurality of collected temperature values through employing a Kalman filtering algorithm, and obtaining a target temperature fusion value representing the overall thermal state of a charging pile; the target temperature fusion value is compared with a preset temperature safety threshold value, and the output power of the charging pile is dynamically adjusted according to a comparison result; the future temperature trend is predicted through a charging pile internal temperature prediction model and an air cooling / liquid cooling cooperative temperature adjustment mechanism, and a system can take actions in advance before the temperature does not reach a dangerous threshold but is determined to exceed the standard, so that the passive situation of traditional thermal management is thoroughly changed, real preventive control is realized, and the safety of the system is improved. The output power can be actively reduced when it is detected that the temperature in the pile rises, and overheating damage is prevented; and when the temperature returns to normal, the original power is automatically recovered, so that the reliability and the service life of the charging pile are improved.

The invention relates to the technical field of power system automation, in particular to a power system transient stability prevention and emergency coordination method based on a dominant function. Data collection and real-time monitoring: collecting real-time data of the power system; transient stability evaluation: selecting features related to transient stability from the collected data, training a deep belief network DBN, and evaluating the transient stability of the power system by using the trained deep belief network DBN; risk identification and prevention control strategy generation: constructing a risk assessment function to determine the risk level of the power grid based on the transient stability assessment result, and generating a prevention control strategy according to the risk level; performing strategy evaluation and optimization, and constructing a dominant function evaluation and optimization control strategy; and the constructed dominant function is used as a target function, and an optimal control strategy is searched by using an NSGA-II algorithm. According to the invention, through advanced data analysis and optimization technologies, the transient stability of the power system is efficiently evaluated, and an economical and effective control strategy is generated.

The invention relates to the technical field of power grid data processing, and discloses a power grid accident prevention scheduling method and system under typhoon disasters, and the method comprises the steps: constructing a typhoon disaster anticipated fault set and an N-1 anticipated fault set, and carrying out the preventive control of the simultaneous connection and disconnection of lines in a dense power transmission channel affected by typhoons on the basis of the N-1 safety criterion of a power grid, thereby achieving the prevention scheduling of power grid accidents under typhoon disasters. An optimization objective function is constructed by taking minimization of the sum of unit output adjustment amount absolute values in a ground state as an optimization objective, and the power grid operation ground state, the N-1 anticipated fault state and the disaster anticipated fault state are taken as constraint conditions, so that the calculation scale of the prevention and control problem is reduced, the calculation efficiency is improved, and the method is suitable for large-scale popularization and application. The accident prevention scheduling optimization model of the disaster state is directly established, the model is optimized and solved, and the power grid accident prevention scheduling optimization scheme is obtained according to the optimal solution, so that the problems that the number of cut-off elements is large and anticipated fault analysis is extremely easy to cause non-convergence of power flow are solved, and the power supply reliability under the typhoon disaster is favorably improved.

The invention discloses a DCM waste gas adsorption process and a special adsorption system thereof, and belongs to the technical field of environmental protection. The adsorption system comprises a waste gas adsorption system, a resin desorption system, a desorbed gas recovery system, a resin cooling and drying system, a wastewater treatment system and a safety prevention and control system, all the systems respectively control all adsorbers to independently and sequentially carry out adsorption-desorption-regeneration processes through an automatic control system, full-automatic integration of waste gas adsorption-desorption-regeneration-wastewater treatment is achieved, the purification efficiency can still be maintained to be 99% after the device continuously operates for 7200 h, the resin loss rate is only 3.0%, the operation cost is reduced by more than 65%, and the operation efficiency is greatly improved. Double standard discharge of DCM waste gas and waste water is realized, and remarkable environmental benefits and economic benefits are achieved.

To provide a collision prevention control system which can reduce a calculation load of a centralized controller.SOLUTION: A collision prevention control system includes a controller 9, and a plurality of module controllers 24 for controlling drive circuits 22 of a plurality of modules. The module controller 24 of the module where a slider exists transmits slider information including at least an identification ID and a current position of the slider, to the controller 9. The controller 9 transmits the slider information to the plurality of module controllers 24. The module controller 24 of the module where a slider which is an object to be controlled exits controls the slider which is the object to be controlled so as to prevent collision with an adjacent slider.SELECTED DRAWING: Figure 6

The invention relates to a VSC-MTDC-containing AC / DC system safety control method and system under electric heating coordination, electronic equipment and a medium, and belongs to the field of power system engineering, and the method comprises the steps: constructing a VSC converter station steady-state power model, and giving a control mode of a VSC converter station and a control mode of a DC power grid; constructing an overhead conductor heat balance equation under electric heating coordination; taking an alternating current node voltage amplitude and a phase angle, a direct current node voltage and an alternating current and direct current overhead conductor temperature as state variables, and constructing an alternating current and direct current power grid electrothermal coupling power flow model containing the VSC-MTDC according to node power balance; and constructing a VSC-MTDC-containing AC-DC system correction control model under electric heating coordination and an AC-DC system prevention control model considering correction, and solving. According to the method, the maximum allowable current constraint of the overhead conductor is relaxed, the real loading capacity of the overhead conductor is fully exerted, and the safety and the economical efficiency of the VSC-MTDC-containing alternating current and direct current system control are better met.

The invention relates to the technical field of power system automation, in particular to a transient stability prevention and emergency coordination method for a power system. Data collection and real-time monitoring: collecting real-time data of the power system; transient stability evaluation: selecting features related to transient stability from the collected data, training a deep belief network DBN, and evaluating the transient stability of the power system by using the trained deep belief network DBN; risk identification and prevention control strategy generation: constructing a risk assessment function to determine the risk level of the power grid based on the transient stability assessment result, and generating a prevention control strategy according to the risk level; performing strategy evaluation and optimization, and constructing a dominant function evaluation and optimization control strategy; and the constructed dominant function is used as a target function, and an optimal control strategy is searched by using an NSGA-II algorithm. According to the invention, through advanced data analysis and optimization technologies, the transient stability of the power system is efficiently evaluated, and an economical and effective control strategy is generated.

The invention provides a new energy gathering area reactive voltage control method considering a power generation trend, and belongs to the technical field of power grid dispatching. The method comprises the steps of obtaining new energy ultra-short-term power generation prediction information of a new energy power grid, power transmission section operation state information, transaction plan information of a tie line and sensitivity information of a new energy unit to bus voltage and power transmission section power flow at the starting moment of each control period in automatic voltage control; and calculating the variation of the bus voltage during reactive adjustment of the new energy unit in each new energy power grid coordination control area and the variation of the bus voltage and the power transmission section flow during active adjustment of the new energy station to obtain an ultra-short-term power generation plan of each new energy station so as to correct the operation control limit value of the bus voltage in the ultra-short term. And finally realizing correction control on the bus voltage of all the power grid coordination control areas. According to the invention, through advanced prevention and control based on ultra-short-term voltage prediction, the problem of violent voltage fluctuation of the new energy power grid is avoided.

A vehicle robot R includes: a vehicle (10) including wheels (12); an angular velocity sensor; a flywheel (43); a motor (44); an auxiliary part (20) for supporting the vehicle (10) so that an inclination angle (A2) of the vehicle (10) with respect to a gravity axis (GA) is a predetermined initial inclination angle (A1); and a control device. The control device can execute standing control and fall prevention control. The standing control includes: a step in which by performing a comparison with a torque command value in an initial state, outputs a torque command value of a reverse rotation direction side; and a step for bringing the torque command value close to zero when the angular velocity is greater than or equal to a predetermined positive threshold value. The control device ends the standing control when, after the start of the standing control, the angular velocity becomes zero or less, and starts the fall prevention control.

The invention provides a transient stability prevention and control method and device based on an agent model, and the method comprises the steps: inputting a plurality of operation data of a power system into a pre-constructed transient stability analysis model, and obtaining a transient stability analysis result of each operation data outputted by the transient stability analysis model, each operation data comprises the initial active power of the generator; according to the transient stability analysis result, determining transient instability operation data, and calculating the sensitivity of each generator in the transient instability operation data through an integral gradient algorithm; determining an adjustment strategy for the initial active power of each generator based on the sensitivity; according to the invention, a feasible solution is provided for monitoring of the stability situation of the power system and control decision after instability, the safe and stable operation capability of the power system is further improved, and support is provided for preventing large-scale accidents of a power grid.

The invention discloses a power grid frequency coordinated regulation and control method and device based on coordination of three defense lines, and the method comprises the steps: carrying out the control cost analysis, constructing an interconnected power grid active frequency response model based on the control cost analysis, and building an active frequency response control strategy of coordination of the three defense lines on this basis, wherein the three defensive lines comprise prevention control, emergency control and correction control, and finally, a target function is constructed by taking the minimum total cost of the three stages of prevention control, emergency control and correction control as a target, so that the optimization space for coordinated operation of the three defensive lines for power system frequency stability is improved, and the control target of safety and economy coordination is further realized. The relationship between the control cost and the system frequency safety is coordinated, and the purpose of safe and economic cooperative control of the alternating-current and direct-current hybrid system for the frequency stability problem is achieved.

The invention relates to the technical field of safety evaluation of isolated power supply systems, and discloses a safety evaluation and control method, system and device for an isolated power supply system and a medium. The method comprises the following steps: constructing an N-0 security domain model and an N-1 security domain model of an isolated power supply system based on feeder capacity constraint, main transformer capacity constraint and frequency constraint; solving based on the N-0 security domain model and the N-1 security domain model to obtain a security boundary; acquiring a safety distance between the operation point and the safety boundary; judging whether the operating point is located in a safety domain of the isolated power supply system according to the safety distance; and if not, adopting prevention and control measures to adjust the operation point until the operation point returns to the safety domain of the isolated power supply system. By calculating the safety distance in real time, a dispatcher can monitor the safety state and the safety degree of the operation point, timely take prevention and control measures and adjust the unsafe operation point to the safety state, so that the safety operation level of the isolated power supply system is improved.

The invention belongs to the technical field of transient stability prevention and control of a power system, and discloses a transient stability prevention and control strategy generation method and system under a multi-accident scene, and the method comprises the steps: obtaining the stability probability of each operation point under N different anticipated accidents based on a transient stability evaluation neural network model; calculating the operation safety degree and the fault importance degree of each round of iteration for operation point search; if the operation safety degree of the input operation point in the current round is smaller than a set value M, the anticipated accident with the high fault importance degree is preferentially considered when the output operation point in the current round is searched, otherwise, alternative operation points are searched in the safety domain of the instability accident, and the operation point with the maximum operation safety degree value serves as the output operation point; and circulating the operation point search until the output operation point recovers transient stability or the operation safety degree is reduced, and taking the output operation point as a final control strategy. By coordinating the safety operation domains of different accidents, the problems of difficult solution and low efficiency of prevention and control optimization in a multi-accident scene are 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 provides an anti-collision control method and device for a bearing grinding machine. The method comprises the following steps that the radial real-time position of a grinding wheel of the bearing grinding machine in the radial direction of a workpiece shaft of the bearing grinding machine is obtained; and when the obtained radial real-time position is located in a preset circular ring range with the radial circular ring width d on the radial inner side or the radial outer side of the ferrule located on the workpiece shaft, the radial feeding speed of the grinding wheel is controlled to be reduced to the set speed Vn in the range. According to the anti-collision system, collision between the grinding wheel and the ferrule due to the fact that the radial feeding speed of the grinding wheel is too high can be effectively prevented, the safety of a machine tool in the running process is improved, the grinding machining efficiency is improved, and compared with a good treatment mode after collision of an anti-collision system in the prior art, the anti-collision system has the advantages that the machining efficiency is improved. The control method is preventive control, and the anti-collision effect is better.

The invention discloses a reinforcement learning prevention and control method and device for loss function embedded knowledge. According to the method, the running state information of the power system is acquired in real time and input to the deep reinforcement learning agent, the agent is subjected to interactive training with the power system simulation model, the agent is trained by using the loss function embedded with physical knowledge, and accurate prevention and control signals can be output. According to the signals, the intelligent agent dynamically adjusts power output and load switching of the generator and the reactive power supply so as to ensure that the power system is maintained in a safe and stable working state, and the reliability of a prevention and control strategy is improved.

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 discloses an intelligent anti-lock braking control method, system and device and a storage medium, and relates to the technical field of vehicle active safety. The method comprises the following steps: acquiring multi-source sensor data by using a multi-source sensor module, and estimating the slip rate according to the multi-source sensor data; constructing a fuzzy rule base, and predicting an environment friction coefficient and a friction extreme value; and the prediction result is corrected in combination with the environment friction coefficient, the wheel speed, the vehicle acceleration, the suspension displacement and the yaw velocity, and the actual friction coefficient is obtained. And then threshold value control is conducted according to the environment friction coefficient, the friction extreme value and the actual friction coefficient, and a brake pressure control scheme is determined. The adaptive capacity to the dynamic environment can be improved, and preventive control is achieved.

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.

The utility model relates to a hydraulic belt correcting device, and relates to the technical field of belt conveyor auxiliary equipment. Comprising a deviation rectifying carrier roller set and a carrier roller installation frame, a rotating seat connected with the deviation rectifying carrier roller set is installed in the middle of the carrier roller installation frame, a left side pump frame and a right side pump frame are symmetrically installed at the two ends of a driver installation frame, and a left side hydraulic pump and a right side hydraulic pump are installed on the left side pump frame and the right side pump frame respectively. A hydraulic oil tank is installed on the driver installation frame, the telescopic end of the deviation adjusting oil cylinder is hinged to a driving rod on the deviation correcting carrier roller set, and the left side detection driving wheel, the right side detection driving wheel, the hydraulic oil tank and the deviation adjusting oil cylinder are communicated with the integrated valve block through corresponding oil pipes. The belt deviation correcting device has the advantages that belt deviation is automatically detected and corrected, the belt runs in a reasonable state all the time, circularly flowing hydraulic oil can take away heat generated by a hydraulic pump, the heat dissipation effect of a hydraulic system is enhanced, and preventive control over overheating of the hydraulic pump is achieved.

The present invention discloses an adsorption process for DCM waste gas and its dedicated adsorption system, belonging to the technical field of environmental protection. The adsorption system of the present invention includes a waste gas adsorption system, a resin desorption system, a desorbed gas recovery system, a resin cooling and drying system, a wastewater treatment system, and a safety prevention and control system; between each system, the automatic control system is used to separately control each adsorber to sequentially perform the adsorption-desorption-regeneration process alone, realizing the full-automatic integration of waste gas adsorption-desorption-regeneration-wastewater treatment. Moreover, after the device runs continuously for 7200 h, it can still maintain a purification efficiency of 99%, the resin loss rate is only 3.0%, the operating cost is reduced by more than 65%, achieving the dual up-to-standard discharge of DCM waste gas and wastewater, and having remarkable environmental and economic benefits.

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.

To set a proper gain in feedback control that calculates an overspeed-prevention limit torque Trev and to secure the responsiveness of reacceleration.SOLUTION: A limit torque Trev for preventing overspeed is calculated through feedback control which is based on a deviation between an upper-limit rotational speed Nmax and a current engine rotational speed Ne, and an output torque of an engine is limited with the limit torque Trev. The limit torque Trev is a sum of P-component torque Tp and I-component torque Ti. After lowering of the I-component torque Ti, an I-gain Ig for the calculation of the I-component torque Ti is switched to a relatively smaller second gain IgL. When an engine rotational speed Ne reaches a gain switch rotational speed NeS or lower and a prescribed time has elapsed after a torque limitation, the I-gain Ig is switched to a relatively larger first gain IgH (S13 to 15).SELECTED DRAWING: Figure 3

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.