44results about How to "Reduce power fluctuations" patented technology

The invention provides a layered optimization scheduling method and system for a wind power cluster and a medium, and relates to the technical field of power system optimization scheduling, and the method comprises the steps: determining evaluation indexes, obtaining the variable weight of each evaluation index, employing a membership function and a fuzzy comprehensive evaluation method, and obtaining the variable weight of each evaluation index; obtaining a membership score of each wind power plant of the wind power cluster under each evaluation index, and obtaining a comprehensive degradation score of each wind power plant; taking the ultra-short-term power predicted value of the wind power plant as the basis for judging the power change trend of the wind power plant, determining the climbing classification of the wind power plant, and determining the scheduling sequence of the wind power plant; on the premise that the power balance constraint between the wind power plants is met, the total output power of all the wind power plants is adjusted and controlled in real time according to the dispatching requirement for power increasing or power reducing of the wind power cluster and based on the dispatching sequence of the wind power plants of all the wind power plant groups. According to the method, the time-varying property and uncertainty of the wind power plant are fully considered, and the fatigue and fluctuation conditions of the whole wind power cluster are reduced.

The invention provides a distributed photovoltaic energy efficiency dynamic monitoring method based on time sequence analysis, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: deploying an edge calculation node, regularly receiving the electrical operation parameters of a photovoltaic inverter, and recording a monitoring node; predicting photovoltaic output power according to the electrical operation parameters, and obtaining predicted output power; analyzing the power supply log, obtaining actual output power under the monitoring node, forming energy efficiency analysis data based on the monitoring node, the predicted output power and the actual output power, and storing the energy efficiency analysis data in an energy efficiency analysis database; performing power prediction deviation analysis by using the energy efficiency analysis database, and constructing a time period-deviation comparison table; and when grid-connected scheduling is carried out on the distributed photovoltaic equipment, power output compensation is carried out based on the time period-deviation comparison table. The technical problem that the power prediction precision is insufficient due to the fact that a traditional time sequence analysis method lacks accurate analysis for different time periods is solved, and the power prediction accuracy and the grid-connected dispatching quality are improved.

The invention discloses a power grid transient voltage coordination control method under a distributed photovoltaic storage high permeability working condition, and the method comprises the steps: detecting the voltage change condition of a grid-connected point where a distributed photovoltaic power station is located, and combining the short-circuit ratio of the grid-connected point where the distributed photovoltaic power station is located to a collection point; carrying out pre-estimation calculation on the reactive compensation amount required near the grid-connected point where the key point is located; and through optical storage cooperative control and consideration of different photovoltaic reactive power margin conditions, the reactive power compensation capability of the photovoltaic inverter is developed, smooth processing of the output power of the photovoltaic inverter is realized, and the transient voltage stability of a grid-connected point is improved.

The invention discloses an overcharge station direct current micro-grid system control method, which comprises the following steps: modeling an overcharge station direct current micro-grid system to obtain system parameters; constructing an initial deep learning network model, and training the initial deep learning network model based on the system parameters to obtain a target deep learning network model; based on the target deep learning network model, according to the real-time energy supply condition and the charging demand, the input proportion of different energy sources is dynamically adjusted, and the energy storage device is introduced to balance the supply and demand difference; through the wireless communication technology, the charging state and energy production and consumption conditions of the over-charging station direct current micro-grid system are monitored and managed remotely in real time, and energy distribution is optimized. Power fluctuation can be effectively reduced, system stability is improved, charging efficiency is improved, charging time is shortened, user experience is improved, and energy distribution is optimized. And the charging station can be quickly switched to the emergency mode under the power grid fault or extreme condition, so that the continuous operation of the charging station is ensured.

The invention provides a virtual synchronous generator multi-machine parallel power distribution method, which belongs to the field of motors and power electronics, and comprises the following steps: 1, initializing necessary parameters, and monitoring the state of a power grid in real time; 2, predicting and controlling the dynamic response of the VSG by establishing a small signal model of VSG parallel operation; step 3, dynamically adjusting operation parameters of the VSG; and 4, executing a power distribution strategy by the system, distributing the calculated power to each VSG, and monitoring the process to ensure the uniformity of power distribution. According to the method, power distribution is carried out by preferentially utilizing photovoltaic output, the utilization rate of renewable energy sources is remarkably improved, meanwhile, optimal distribution of loads between the parallel virtual synchronous generators is achieved, the inertia and damping of the system are optimized, and the optimal distribution of the loads between the parallel virtual synchronous generators is achieved through a self-adaptive adjustment control strategy. And the advantage of parameter adjustability of the virtual synchronous generator is fully exerted, so that the control effect is further improved, and the stability of the power grid is enhanced.

The invention discloses an integrated energy system scheduling method and system considering flexible resource quantification, and the method comprises the steps: carrying out the quantification processing of the flexible demands of the load side fluctuation of an integrated energy system, the supply capability of flexible resources in the integrated energy system, and the flexible resource adjustment capability of the flexible resources between energy systems; according to the quantitative processing result, flexible supply and demand of the power system, the thermodynamic system and the gas system are calculated respectively; respectively and correspondingly determining flexibility constraint conditions of the electric power system, the thermal power system and the gas system; target functions of day-ahead and intra-day optimization scheduling of the integrated energy system are constructed respectively; based on constraint conditions, solving the objective function of the day-ahead optimization scheduling of the integrated energy system to obtain an optimal scheduling scheme of day-ahead optimization; and based on the flexibility constraint conditions of the electric power system, the thermal power system and the gas system, solving the objective function of the intra-day optimization scheduling of the integrated energy system to obtain an optimal scheduling scheme of intra-day optimization.

The invention discloses a power scheduling method and device based on a flexible load and pumped storage, and terminal equipment, and the method comprises the steps: taking the maximum flexible load income in a scheduling period as a first target, taking the minimum output fluctuation variance in the scheduling period as a second target, constructing a cooperative scheduling model, and solving the cooperative scheduling model, obtaining a load scheduling result in the scheduling period, a power generation power value of the target pumped storage power station in the scheduling period and a power utilization power value of the target pumped storage power station in the scheduling period; and then, according to a scheduling result, regulating and controlling a reducible load, a transferable load and a transferable load, and according to the power generation power value and the power utilization power value, controlling a target pumped storage power station. According to the method, pumped storage is combined with three types of flexible loads including the transferable load, the transferable load and the reducible load to cooperatively perform power scheduling, so that the power system can keep stable power output under different working conditions.

The invention discloses a light source and a light source control method, and belongs to the technical field of light sources. The light source comprises a laser, a temperature control module, a xenon lamp, a white light power monitoring module and a control module; the temperature control module is mounted on the laser and is used for controlling the working temperature of the laser; the xenon lamp is used for receiving the laser output by the laser and outputting white light; the white light power monitoring module is used for obtaining a white light power signal output by the xenon lamp; and the control module is electrically connected with the laser and the white light power monitoring module, and is used for adjusting the laser power signal based on the laser power signal output by the laser and the white light power signal. The temperature control module is arranged on the laser, and the output of the laser is adjusted by the control module according to the real-time white light power signal, so that the power fluctuation of white light output is reduced as much as possible, and the stability of the light source is improved.

The invention provides a self-adaptive power balance control method for a wind-solar complementary power generation system, and relates to the technical field of power balance control, and the method comprises the steps: obtaining a first wind-solar complementary generator set in the wind-solar complementary power generation system, and carrying out the load monitoring, and obtaining first wind-solar load monitoring information; introducing a load evaluation function to evaluate and analyze the first wind and light load monitoring information to obtain a first predicted power generation load; if the first predicted power generation load is not in the preset power generation load threshold value, a self-adaptive control instruction is sent out; activating a power stabilizer, and generating a first power balance control decision of the first wind-solar complementary generator set; and performing adaptive power balance control processing on the first wind-solar complementary generator set according to the first power balance control decision. According to the invention, the technical problems of energy waste or insufficient power supply caused by the fact that the relation between power generation and power grid load is difficult to balance accurately and the power control strategy cannot be adjusted in time in the prior art under the rapidly changing environment condition are solved.

The invention relates to the technical field of grid-connected converter data processing, in particular to an impedance remodeling method for a grid-forming type optical storage integrated power generation system, which comprises the following steps of: acquiring alternating current side and direct current side electrical quantities of a grid-forming type grid-connected converter, judging a power direction, and determining whether to intervene an impedance remodeling control module according to the power direction; by comparing the direct-current side voltage with the reference value, calculating the voltage difference value and obtaining the active power compensation value through the compensation coefficient, the impedance characteristic of the grid-connected converter is remodeled, the stability of the system can be improved when the power is in the positive direction, the parameter setting difficulty is simplified, and the robustness of the system is enhanced without changing the structure of a network construction type control main body; and the problem of dynamic characteristic difference of the network-forming type optical storage integrated power generation system when the power direction changes is effectively solved.

The utility model discloses an emergency gear-shifting shifting fork system, relates to the technical field of power transmission devices, and aims to solve the problems that the load on a transmission shaft is relatively large and the transmission shaft vibrates and spreads to damage a gear-shifting shifting fork in emergency gear-shifting reconditioning. According to the emergency gear-shifting shifting fork system, the gear-shifting gear sleeve, the butt-joint gear sleeve and the emergency gear are arranged, so that the influence of environmental factors on emergency gear-shifting transmission is reduced, and the reliability of emergency gear-shifting transmission is improved; and the servicing weight of the emergency gear shifting fork structure is reduced, the load pressure of a gear shifting fork system on a power source is reduced, and the possibility that the power source of a transmission shaft is influenced by accidental transmission movement of an emergency gear shifting system is reduced. By arranging the limiting pin and the shifting fork shaft, the possibility that mechanical movement such as vibration of a transmission system spreads to emergency shifting is reduced, the possibility that the servicing state of an emergency gear shifting system fails is reduced, and the maintaining effect of the emergency function of gear shifting preparation is improved.

The invention provides a wind power plant power coordination control method and device considering safety, and relates to the technical field of wind power plant power coordination control. The coordination control method comprises the following steps: acquiring environment data and equipment state data around the working environment of a wind turbine generator in real time; the environment parameters and the equipment state parameters are subjected to data preprocessing, a self-adaptive control model is established based on the processed data and a theoretical power output formula of the wind turbine generator set, the output power of the wind turbine generator set is set, and when it is monitored that the power exceeds a safety threshold value, the system automatically triggers an alarm. And immediately adjusting the power output of the wind turbine generator or adjusting the angle of the blades of the wind turbine generator. After the wind turbine generator is shut down, the system can judge whether normal operation can be recovered or not according to the safety coefficient information. According to the method, the operation state of the wind turbine generator can be monitored in real time, the output power is dynamically adjusted, the equipment fault risk is effectively reduced, and the stability and safety of wind power generation are optimized.

The application relates to an intensive transient disturbance regulation circuit, which comprises a three-phase bridge arm unit, a common DC side unit and a zero sequence bridge arm unit; the three-phase bridge arm unit is connected with each phase power supply branch of a three-phase power grid, a common neutral end of the common DC side unit and an input end of the zero sequence bridge arm unit, and an output end of the zero sequence bridge arm unit is grounded; the zero sequence bridge arm unit is used for generating a first current for offsetting a fault zero sequence component based on a power grid voltage, a power grid current and a common neutral end voltage of the three-phase power grid; the three-phase bridge arm unit is used for determining a three-phase reactive compensation current based on the common neutral end voltage and the first current input by the zero sequence bridge arm unit, and sending the three-phase reactive compensation current to a corresponding phase distribution line of the three-phase power grid; and the common DC side unit is used for providing common DC voltage support for the three-phase bridge arm unit and the zero sequence bridge arm unit. The zero sequence disturbance of the distribution network can be inhibited, and the voltage deviation and power fluctuation problems caused by the power grid transient disturbance can be weakened.

The present application relates to the field of gas turbine, in particular to a gas turbine combustion chamber gas-liquid dual fuel mixed combustion test system and working method thereof, comprising: a combustion cavity unit, a combustion state monitoring unit, a liquid fuel supply unit, a gas fuel supply unit, a main air supply unit and a central control unit; the combustion cavity unit comprises a test shell, a flame tube, a dual fuel nozzle and an igniter, the flame tube is installed in the inner cavity of the test shell and is fixed by the head and tail support. The present application sets up a test system by setting a dual fuel nozzle and a flame tube in a unique test shell, and configuring an igniter, a pressure pulsation sensor and other structures, combined with a central control computer to ensure that the combustion chamber outlet temperature remains unchanged, through precise control of the gas fuel and liquid fuel flow, the dual fuel mixed combustion characteristic curve under each working condition is automatically obtained.

This invention discloses a method for adjusting the operating mode of a floating multi-energy complementary power generation platform system. The method includes setting the wave energy generation unit to MEC mode; setting the photovoltaic power generation unit to MPPT mode; setting the grid-side inverter unit to current source mode (VOC control mode); setting the energy storage unit converter to power generation fluctuation smoothing mode, and switching the charging and discharging states of the energy storage unit through constant power control; setting the wave energy generation unit to MEC mode or shutdown operation mode; setting the photovoltaic power generation unit to MPPT mode or constant voltage control mode; setting the grid-side inverter unit to VF control mode; and setting the energy storage unit converter to DC bus voltage stabilization control mode. This invention reduces transmission losses while minimizing the power impact on the main grid during the grid-connected operation of the island microgrid based on the power generation platform, thus improving the system's operational reliability.

The utility model relates to the technical field of power generation equipment, and provides a passive variable pitch system for blades. The blade passive variable pitch system comprises a rotating assembly and a blade body, the rotating assembly comprises a main shaft, an elastic piece and a fixing base, the fixing base is used for being arranged on a hub assembly, a cavity is formed in the fixing base, and part of the main shaft is rotationally arranged in the cavity; the main shaft is sleeved with the elastic piece, one end of the elastic piece is connected with the fixing base, the other end of the elastic piece is connected with the blade body so that the blade body can twist relative to the fixing base, and a sealing piece is arranged on the main shaft and makes contact with the side wall of the cavity. According to the blade passive variable pitch system provided by the invention, when the blade main body faces water flows with different flow speeds, the blade main body can be passively twisted relative to the fixed seat so as to stabilize output, dynamic sealing between the main shaft and the fixed seat can also be realized, the sizes of the sealing element and the main shaft can be reduced according to actual requirements, and the reliability of dynamic sealing is ensured.

The invention discloses a wind hydrogen storage collaborative digital real-time management and control platform and method, and relates to the technical field of power grids, and the platform comprises a time calculation module which calculates the structure propagation time based on the effective length of a blind branch pipe; the segmentation module is used for obtaining a plurality of continuous time periods based on the structure propagation time; an amplification module that calculates a first statistical value based on the continuous time period, and calculates a structure amplification factor based on the first statistical value; the coupling module is used for defining a tank opening pipe section and calculating the three-way parallel coupling amount according to the tank opening pressure time sequence and the structure amplification factor of the tank opening pipe section; and the correction module obtains a corrected hydrogen production power adjustment amount according to the three-way parallel coupling amount. According to the invention, invalid charging and discharging times of the energy storage system can be effectively reduced, and grid-connected power fluctuation amplitude is reduced.

The application discloses a source-load scheduling method considering electric smelting magnesium load regulation and wind power distribution, introduces electric smelting magnesium high-load energy load with fast regulation characteristics on the load side, participates in power grid optimal scheduling together with thermal power plants, takes the maximum system wind power consumption and the minimum sum of average variances of power fluctuations at all wind power plant busbars as objective functions, considers relevant constraints, and solves by using a genetic algorithm; the system wind power curtailment, wind power fluctuation and other aspects under different cases are compared and analyzed, and the effectiveness of the low-carbon optimal scheduling model considering electric smelting magnesium load regulation and wind power distribution is proved, the system new energy consumption can be improved, and the new energy power fluctuation can be reduced. Finally, the actual load curve of each wind turbine after smoothing is obtained. The method can reduce the wind power curtailment, realize the wind power consumption, and smooth the output curve of each wind power plant; the two objective functions echo each other, so that the calculation of each unit is more reasonable.

The invention discloses a doubly-fed flywheel energy storage-based network following-construction fusion control method, which comprises the following steps of: 1, acquiring electrical parameters of a stator and a rotor of a doubly-fed fan, performing coordinate transformation to obtain dq-axis components, and calculating real-time output power of the stator; 2, a virtual internal potential phase is generated through virtual synchronous control, a phase-locked loop obtains a power grid phase, modulation voltage reference values are output respectively, and a final modulation voltage reference value is obtained through weighted sum so as to realize dynamic fusion control of network following and network construction characteristics, and in the network following control, a modulation voltage is obtained through a rotating speed-active and reactive outer loop and a current inner loop, and the current inner loop is added to the rotating speed-active and reactive outer loop; in the network construction control, instantaneous power is calculated through electrical parameters, a reference phase and voltage are obtained through virtual synchronous control, and modulation voltage is output through a single voltage loop. According to the method, the characteristics of the network following current source and the network construction voltage source are fused, advantage complementation is achieved, the method has fast power adjustment and power grid supporting performance, the method is adaptive to a wide-short-circuit-ratio power grid scene, and therefore the weak power grid stability and the new energy consumption capacity can be effectively improved.

The present invention discloses a distribution network reliability improvement method based on hybrid energy storage and dynamic network reconstruction, comprising the following steps: 1) generating a wind farm wind power scenario; 2) based on a variational mode decomposition algorithm, decomposing the generated wind farm power into high-frequency, medium-frequency and low-frequency components, and then distributing the high-frequency and medium-frequency components to supercapacitors and batteries respectively, using the low-frequency components as direct grid-connected power, and calculating the energy storage capacity and power of supercapacitors and batteries; 3) calculating grid reliability evaluation indicators; 4) establishing a two-stage optimization configuration model; 5) solving the two-stage optimization configuration model to optimize the grid reliability evaluation indicators. The present invention can effectively improve the operational reliability of the distribution network under wind power penetration.

The present application relates to a distributed photovoltaic MPPT method, system, device and medium, and relates to the technical field of distributed photovoltaic power generation, which comprises the following steps: preprocessing photovoltaic array data, obtaining irradiance, temperature and MPP voltage dataset; determining the optimal ElmanNN hidden layer node number by K-fold cross-validation and RMSE evaluation, and dividing the dataset into a training set, a validation set and a test set; inputting the training set into global search of the firefly algorithm and local optimization of the ant colony optimization algorithm, defining the stable solution as the FA-EAS optimal parameters after convergence; updating the ElmanNN weight threshold based on the optimal parameters, deploying the training model to perform MPP voltage online prediction; inputting the difference between the predicted voltage and the reference voltage into a PID controller, calculating the control amount through the incremental PID, generating a PWM signal to control the duty cycle of the Boost converter, and realizing maximum power point tracking. The present application can improve the tracking speed, stability and success rate of MPPT.

The present disclosure provides an active distribution network optimization scheduling method and system based on stochastic model predictive control, comprising the following steps: obtaining a backup configuration interval of renewable energy; obtaining an optimal scheduling plan for the active distribution network according to the obtained backup configuration interval and a preset multi-time scale active distribution network optimization scheduling model; wherein the multi-time scale active distribution network optimization scheduling model includes a day-ahead scheduling stage, an intra-day scheduling stage and a real-time scheduling stage, adopts stochastic model predictive control, takes minimum operating cost as a target, and takes backup constraints as constraints.

The invention relates to the technical field of energy storage, in particular to a power distribution network multi-time-scale scheduling method and device considering wind power intermittency and IMPC, and the device comprises a framework construction unit which constructs a multi-time-scale active power distribution network active and reactive coordinated scheduling framework; the objective function construction unit is used for constructing objective functions of a day-ahead scheduling stage, an intra-day scheduling stage and a real-time scheduling stage in the active and reactive coordinated scheduling framework of the multi-time-scale active power distribution network; the constraint condition design unit is used for designing constraint conditions of multi-time-scale active and reactive coordinated optimization of the active power distribution network; according to the invention, the target function corresponding to each time scale is constructed, and the target function of each time scale is solved based on the constraint condition, so that the scheduling schemes of different time scales are obtained, and the adjustment of the corresponding time scale is realized according to the scheduling schemes. The prediction precision selection optimization method under multiple time scales and different time scales has the advantage that the output volatility and randomness of renewable energy sources are improved.

The invention discloses a blade root limit load control method and system based on a blade root resultant bending moment, and the method comprises the steps: calculating the blade root resultant bending moment of each blade based on the measured blade root in-plane load and out-of-plane load, taking the maximum value of the blade root resultant bending moment in all blades, and enveloping the maximum value, and multiplying the difference value of the envelope value and a set load threshold value by a set proportionality coefficient to obtain a pitch angle superposition amount, so that the wind generating set executes a pitch change instruction when the blade root resultant bending moment rises to exceed the set load threshold value, and the purpose of load reduction is achieved. The problem that the combined bending moment of the blade root of the large-impeller wind generating set is large can be solved, and then the blade root load meets the design requirement.

The invention relates to an electrolytic cell array optimization control method and system based on model prediction, and the method comprises the following steps: S1, dividing an electrolytic cell array operation mode according to the operation characteristics of an electrolytic cell, and building an electrolytic cell state transition equation according to the operation characteristics of the electrolytic cell and the electrolytic cell array operation mode; s2, an optimal control problem is constructed, the optimal control problem comprises defining an objective function and system constraint conditions, and a mixed integer optimization model of alkaline electrolytic cell array power distribution is formed; and S3, constructing a model prediction optimization control strategy algorithm based on improved Monte Carlo tree search, and solving an optimal control problem based on the algorithm to obtain an optimal control strategy result of the electrolytic cell array. The control method provided by the invention can effectively improve the scheduling fineness of the electrolytic cell array and reduce the starting and stopping times and power fluctuation of the electrolytic cell, so that the service life of electrolytic cell equipment is prolonged, and the safety, reliability and economical efficiency of a hydrogen production system are improved.

The invention belongs to the technical field of replacement of new energy automobiles, and discloses a new energy magnetic generator power source system which comprises driver operation information, and the driver operation information comprises a main computer system, a magnetic generator, a motor controller, a vehicle driving system, a conventional power storage device and an electrical device. According to the system, all assemblies related to driver operation information are reasonably connected, a complete power source system architecture is constructed, conversion and power processes in the system can be efficiently integrated, stable and reliable power is provided for a vehicle, the size of the magnetic generator is smaller than that of a gasoline engine, the magnetic generator is more flexible to arrange in an automobile cabin, and the driving safety is improved. The overall structural layout of the vehicle is optimized, the cabin space utilization rate is improved, the gravity center of the vehicle can be lowered, the driving stability is improved, and actual application and operation are facilitated.

The invention discloses a distributed wind storage system frequency modulation capacity calculation method, which comprises the steps of calculating load flow distribution based on a power distribution network topological structure, a physical and mathematical model of a distributed wind storage system and a predicted output power condition of a wind driven generator, taking reduction of power fluctuation of the single-node wind storage system and construction, operation and maintenance cost of an energy storage device as objective functions, and solving to obtain optimal configuration of the single-node wind storage system; further optimizing the configuration of each single-node wind storage system by taking the optimal configuration of the single-node wind storage system as the basis and considering the reactive power balance and node voltage limitation of the power distribution network to obtain the optimal configuration of each single-node wind storage system; and solving the frequency modulation capacity of the distributed wind storage system based on the output power condition of the wind driven generator and the optimal configuration of each single-node wind storage system. According to the invention, quantitative evaluation of the frequency regulation capability of the distributed wind storage system in the power system can be realized.

The invention provides a flexible load scheduling method and system based on an energy management system, and relates to the technical field of electric power. According to the specific implementation scheme, on the basis of a photovoltaic generating capacity prediction curve and a non-adjustable load prediction curve of a power system in a first time period, the control temperature of a temperature control load and the operation time of a time-adjustable load in the power system are used as independent variables; taking the net power fluctuation average value of the power system in the first time period as a dependent variable to construct a first objective function; based on the control temperature constraint condition of the temperature control load and the constraint condition of the operation time of the adjustable time load, the minimum value of the first objective function is solved, and a target temperature curve of the temperature control load in the first time period and a target operation time curve of the adjustable time load in the first time period are obtained; and based on the target temperature curve and the target operation time curve, a temperature control load and an adjustable time load in the power system are respectively scheduled in the first time period.

The invention provides an adapter control method and device and control equipment, and is suitable for the technical field of data processing, and the method comprises the steps: obtaining the real-time power data and power fluctuation amplitude of an adapter; according to any data in the power data and the power supply fluctuation amplitude, identifying a current starting scene, and determining a target starting protection mechanism matched with the current starting scene; wherein the starting protection mechanisms matched with different starting scenes are not completely the same; and starting of the adapter and the electrical equipment is controlled based on the target starting protection mechanism. According to the embodiment of the invention, the adapter and the electrical equipment can be started based on an appropriate starting protection mechanism every time to reduce power supply fluctuation during starting, so that the stability of the electrical equipment in the starting process is improved.

The invention relates to the field of artificial intelligence, in particular to a mine stone crusher automatic operation system and method based on artificial intelligence. Comprising the steps of converting collected image data into a three-dimensional environment model, and performing equal-interval grid segmentation on the three-dimensional environment model through a grid segmentation method; a multi-objective optimization control algorithm is introduced, a comprehensive objective function value of each candidate strike point is calculated, and an optimal strike point is obtained; calculating a cost function of the path by using an adaptive multi-target path planning algorithm to obtain an optimal path; a self-adaptive hitting power control algorithm is used to calculate hitting power; and generating a control signal of the stone crusher by using a control signal generation algorithm. The technical problems that a control signal generation mode of an existing stone crusher is simple, non-linear changes in a complex working environment cannot be processed, and an unstable phenomenon is easily generated when a stone crushing hammer works at a high speed are solved.