3955 results about "Power unit" patented technology

The invention provides a thermoelectric unit intelligent early warning method and system based on an artificial intelligence model. The method comprises the steps that firstly, multi-source operation monitoring information of different operation dimensions of core components such as a turbine, a boiler and a generator of a thermoelectric unit is obtained; performing time sequence correlation analysis on each modal monitoring data, constructing a dynamic correlation matrix, generating a modal conflict correction coefficient, and obtaining a time sequence dependence feature set; inputting the model into a hierarchical evolutionary early warning model, and obtaining an evolutionary fusion early warning feature vector through modal conflict correction and dynamic feature evolution modeling; generating a working condition self-adaptive dynamic early warning threshold value based on the current operation working condition; through comparison and abnormal traceability of the traceability verification module, an abnormal root component and a propagation path are determined, and a targeted traceability early warning instruction is output, so that the early warning accuracy and adaptability of the thermoelectric unit are improved, and safe and stable operation of the unit is guaranteed.

The invention discloses a secondary frequency modulation optimization control method under a low-load working condition, relates to the technical field of power grid resource optimization, and is used for solving the problem that a control strategy under the low-load working condition is not fully considered in the prior art. The current load interval is recognized, and control parameter correction is conducted on the unit located in the low load interval; calculating a total output power reference value; carrying out calculation by adopting a self-adaptive optimization algorithm, and carrying out power fine distribution to obtain an optimal charging and discharging instruction of each energy storage unit; and the output power is adjusted in real time through double-closed-loop control. The invention further discloses a secondary frequency modulation optimization control device under the low-load working condition, electronic equipment and a computer storage medium. By dynamically correcting the control parameters of the low-load thermal power generating unit and cooperatively distributing the hybrid energy storage power in combination with the adaptive optimization algorithm, the safety and economical efficiency of the energy storage system are guaranteed.

The invention relates to the technical field of power system automation, in particular to a climbing-frequency modulation coordinated optimization method and system considering energy storage capacity uncertainty, and the method comprises the steps: building an opportunity constraint model of an energy storage system based on the capacity uncertainty, and enabling the opportunity constraint model to be used for describing a reliable feasible region under the deviation of energy storage electric quantity; establishing an energy storage system linearization model considering a climbing-frequency modulation power unified constraint, and realizing power coupling and sharing constraint description of two types of adjustment services; aiming at the nonlinear characteristic of the gradeability of the thermal power generating unit, establishing a piecewise linearization model of the gradeability by adopting a piecewise linearization method; and establishing a thermal power-energy storage combined climbing-frequency modulation coordinated optimization model, and solving the optimization model by adopting a quadratic programming method to obtain the climbing power and frequency modulation reserve capacity of the thermal power generating unit and energy storage. According to the method, the actual available range of the energy storage system capacity can be dynamically reflected, the electric quantity out-of-limit risk caused by the uncertainty of the energy storage capacity is avoided, and the reliability of the scheduling result is improved.

The invention relates to the technical field of automatic control, and discloses a thermal power generating unit cooperative control method based on digital twinning, which comprises the following steps: firstly, off-line executing benchmark construction, and obtaining a benchmark digital twinning model and a benchmark cooperative control parameter set which represent the ideal state of a unit; a twinborn deviation vector is obtained by comparing real-time output of a physical unit with theoretical output of a model, a deviation characteristic vector of quantitative characteristic deviation is obtained through processing of a deconstruction algorithm, then historical deviation characteristics are analyzed by adopting a time sequence prediction model, a prediction output vector representing a future evolution trend is calculated, and then a prediction result is obtained. And calculating a prospective control parameter correction vector based on the prediction vector, and combining the prospective control parameter correction vector with a reference parameter set to generate a dynamic cooperative control parameter set. According to the method, the slow time-varying drift of the dynamic characteristics of the unit can be actively compensated, the continuous optimization of a control strategy is realized, and the stability and the operation economy of a control system are improved.

The invention provides a snakelike metal pipeline internal detection robot and an application method, and belongs to the technical field of pipeline detection and maintenance. The robot mainly comprises two tank probe vehicles of the same structure and a snakelike joint body connected between the two tank probe vehicles. The tank probe vehicle integrates a crawler-type walking mechanism, a detection unit, an operation unit, a magnetic adsorption unit, a control unit and a power unit, can provide main driving force, is adsorbed on the wall of a metal pipe and executes detection operation. The snakelike joint body is composed of a plurality of joint sections connected through movable joints, the unique conical helical tooth meshing design of the snakelike joint body enables the joint sections to generate multi-degree-of-freedom deflection, and therefore the whole robot can flexibly adapt to bending changes of vertical, horizontal and various bent pipes, and stable snakelike winding movement is achieved. The problems that an existing pipeline robot is poor in adaptability to complex pipelines and single in function are solved, and long-distance and all-directional detection and multifunctional operation under the complex pipeline environment are achieved.

The invention relates to the technical field of electric energy quality management of an electric power system, and discloses an industrial power grid voltage fluctuation suppression method and system, and the method comprises the steps: firstly building a system-level voltage and current forward transmission model composed of a power unit, a filter circuit and power grid impedance which are cascaded; reversely constructing a feedforward controller based on a voltage and current forward transfer model, and generating a main compensation voltage instruction according to the power grid disturbance quantity detected in real time; state parameters of each power unit are obtained, a differential equation is constructed, and a comprehensive real-time health degree index is obtained through fuzzy reasoning; dynamically correcting an equivalent impedance parameter in the forward transfer model by using the index, and calculating a voltage distribution weight of each unit; and decomposing the total compensation voltage instruction into each unit modulation signal according to the weight. Through systematic modeling, intelligent state evaluation and dynamic fault-tolerant distribution, high-speed, accurate and high-reliability suppression of the voltage fluctuation of the industrial power grid is realized.

The invention relates to the technical field of power electronics, in particular to a network construction type STATCOM topological structure with a super-capacitor and a control method thereof, the topological structure is a star-shaped chain network construction type STATCOM system with a super-capacitor module power unit, the power unit comprises a super-capacitor module and an H-bridge module, and the super-capacitor module is connected with the H-bridge module in parallel; the super-capacitance module is formed by cascading three sub-modules, and each sub-module comprises a super-capacitor, a filter inductor and a DCDC circuit; the control method comprises the steps of voltage feed-forward unit phasor calculation, reactive voltage control and virtual internal potential angle calculation, virtual impedance amplitude limiting logic, bridge arm current reference instruction calculation and modulation wave instruction calculation. According to the invention, the applicability of the super capacitor module is enhanced, the design cost is saved, mutual interference between the frequency modulation characteristic and the inertia damping characteristic is avoided, the active power steady state control precision is improved, and the product safety is improved.

The invention discloses environment early warning and tampering detection equipment and method for a long-term storage container, and the equipment comprises an electronic container terminal integrated on the container, and the electronic container terminal is provided with a main control unit, and a bistable electronic display screen, a wireless communication unit, a multi-sensor unit and a power supply unit which are connected with the main control unit. The multiple sensor unit includes a tamper detection sensor for detecting a first opening of the container and an environmental sensor for monitoring environmental parameters. And the main control unit displays an abnormal warning when the environment exceeds a threshold value, and generates an irreversible opened state mark and permanently displays opening information according to the tampering signal. The terminal is connected with the cloud server and the user terminal through wireless communication, and identity and state information storage and basic authentication interaction are achieved. According to the invention, dynamic anti-counterfeiting, complete and traceable storage environment recording and active early warning functions can be provided.

The invention discloses a power consumption time sequence prediction method and system based on a self-attention mechanism, a medium and a processor, and relates to the technical field of power consumption time sequence prediction. The method comprises the steps of obtaining original data, preprocessing the original data, dividing the original data into a training input set and a label set, extracting time and power unit features through convolution operation, calculating and fusing the features through double attention, obtaining a prediction value through convolution operation, optimizing model parameters, and finally predicting a future power consumption value based on an optimization model. The system comprises a preparation module, a first operation module, a fusion module, a second operation module and a prediction module. A computer readable storage medium and a processor store and run programs for executing the method, respectively. According to the method, the nonlinear features and the long-term dependency relationship of the data are effectively captured through a self-attention mechanism, the feature extraction capability is improved through a double attention model, and the prediction precision is improved.

The invention discloses a carbon emission factor calculation method adaptive to a gateway meter and a functional module, and belongs to the technical field of power system carbon emission, and the method comprises the following steps: collecting real-time carbon emission power flow data and upstream and downstream position information of a power system by using a carbon emission measurement function of the gateway meter; filling missing data; aiming at a source side carbon emission factor calculation function module, establishing a thermal power generating unit carbon emission model of a thermal power generating unit carbon emission quantification algorithm based on time sequence feature enhancement; calculating grid-side and load-side carbon emission factors; according to different positions of a gateway meter, a carbon emission factor calculation function module with corresponding carbon metering factor calculation and communication functions is designed, calculated carbon emission factors are uploaded to a cloud electric carbon platform, and regional node hour-level carbon emission factors are displayed on a local carbon emission factor calculation function module. According to the method, the accuracy, the real-time performance and the reliability of the regional carbon emission data are remarkably improved by constructing the MS-CBAM-CNN cascade architecture.

The invention relates to the technical field of power system frequency modulation control, in particular to a thermal power generating unit collaborative frequency modulation method and system based on block chain federated learning. According to the method, a decentralized P2P network is constructed through a block chain technology, and model parameters are initialized based on a secret sharing mechanism; carrying out local training by adopting an adaptive federal near-end optimization algorithm, measuring data isomerism through KL divergence and dynamically adjusting a regular coefficient; carrying out noise addition on a sample by adopting differential privacy, and carrying out homomorphic encryption to realize parameter encrypted transmission; selecting representative nodes based on a block chain consensus mechanism to execute parameter aggregation in the encryption domain; and multi-unit collaborative frequency modulation is realized through model prediction control. According to the method, the problems of data privacy protection, heterogeneous data adaptation and decentralized cooperative training are solved, and the stability of power grid frequency regulation and control is improved.

The invention discloses a frequency modulation control method and system for a thermal power generating unit, and relates to the technical field of frequency modulation control, and the method comprises the steps: collecting a frequency modulation instruction signal of a power grid, decomposing the frequency modulation instruction signal, and obtaining a plurality of intrinsic mode function components and residual components; performing spectral analysis on each intrinsic mode function component, marking the component of which the main frequency exceeds a high-frequency disturbance frequency threshold as a high-frequency disturbance component, and calculating a fluctuation amplitude and a change rate; a thermal system control instruction is generated through a PID control algorithm, the coal feeding amount and the main steam pressure are adjusted, and an auxiliary compensation control instruction is generated for the high-frequency disturbance component through a fuzzy control algorithm; a thermal system control instruction and an auxiliary compensation control instruction are converted into operation parameters of a thermal power generating unit control mechanism and issued for execution, when the control effect deviation continuously exceeds a deviation threshold value, an optimization process is triggered, and the frequency modulation stability and the equipment safety of a unit in the environment that new energy is accessed to a power grid in a high proportion are remarkably improved.

The invention discloses an intelligent collaborative scheduling system and method for a general computing and intelligent computing fusion scene, and relates to the technical field of computing power resource management and scheduling. In order to solve the problem that isomerous computing power resource islands are difficult to collaborate, the system comprises a computing power access layer used for executing specified operation on isomerous computing power resources through a standardized access template, abstracting the isomerous computing power resources into a unified logic computing power unit and registering the unified logic computing power unit into a computing power pool; the resource management layer is used for continuously monitoring and collecting static attributes and dynamic states of computing power resources to form a global resource real-time view; the business processing layer is used for receiving the business submitted by the user, analyzing and identifying the business demand, converting the business demand into a demand vector, and generating a dynamic arrangement scheme based on the real-time view and the multi-target strategy library; and the collaborative scheduling execution layer is used for converting the dynamic arrangement scheme into an instruction adaptive to various APIs and completing computing power resource allocation and service starting. According to the invention, unified management and intelligent cooperative scheduling of computing power resources can be realized.

The invention discloses a flying wing solar unmanned aerial vehicle based on distributed reversible power omni-directional cooperative control, and relates to the technical field of aircraft design, the flying wing solar unmanned aerial vehicle comprises a cabin, flying wing platforms are symmetrically arranged on the two sides of the cabin, reversible power assemblies are arranged on the flying wing platforms, and each reversible power assembly comprises a supporting unit and a driving unit; a multi-mode flight control assembly is arranged in the cabin. According to the flying wing solar unmanned aerial vehicle based on distributed reversible power omni-directional cooperative control, in the air flight stage, based on the flexible characteristic of the flying wing platform, the driving units are vertically arranged in pairs, direct force is used for driving, the characteristic of multi-mode control is embodied, and the reversible power assembly is used for cooperatively achieving the omni-directional operation function; in the ground take-off and landing stage, based on the large deformation characteristic of the flying wing platform, the space distribution form of the driving units is adjusted in a reversing mode through the supporting units, every two driving units are horizontally arranged, control is achieved through wing deformation, and therefore the power units are prevented from colliding with the ground.

The invention provides a phase modifier energy storage excitation control method and system and a controller. The method comprises the following steps: acquiring original phase modifier parameters, original power grid parameters and original energy storage system parameters; generating a power grid operation state according to the original phase modifier parameters, the original power grid parameters and the original energy storage system parameters; adjusting the energy storage system and the flexible excitation power unit according to the power grid operation state and a cooperative control strategy, and obtaining the adjusted current phase modifier parameters and the adjusted current power grid parameters; damping control is carried out according to current phase modifier parameters and current power grid parameters through preset double damping channels, data can be monitored and analyzed in real time, a cooperative control strategy is adopted, an energy storage system is effectively utilized to improve the transient stability of the phase modifier, and the effect of suppressing subsynchronous oscillation is enhanced through cooperative control of the double damping channels. Therefore, the dynamic stability of the grid voltage is improved.

The invention relates to a propulsion system (1) for a pedal vehicle. The propulsion system (1) comprises a power unit (1) allowing the power originating from a bottom-bracket axle (2) to be combined with the power from two motors (40, 50), a first deformable transmission element (23) allowing the transmission of power to the rear wheel (73) and a casing assembly (19) enclosing particularly the first deformable transmission element (23) and the power unit (1), with the exception of part of the bottom-bracket axle (2).

The utility model discloses a powder food filling conveyor line, and relates to the field of filling conveyor lines, the powder food filling conveyor line comprises a rack, the middle part of the upper end of the rack is provided with a chain plate conveying mechanism, and the upper end of the rack is fixedly provided with a butt clamping mechanism for clamping cans; according to the powder food filling conveying line, by means of the U-shaped vibration strip, the spring, the triangular block, the driving column and the like, after cans are clamped, the chain plate conveying mechanism drives the driving column to move and pushes the triangular block to avoid, the U-shaped vibration strip hits the outer walls of the cans under the action of the spring, vibration is achieved, it is ensured that powder filling is compact, and the density is optimized. The design does not need an additional vibration power unit, the cost is reduced, and driving is completed through conveying line power. Meanwhile, the transverse strips are fixedly arranged at the two ends of the U-shaped vibration strip in a sleeving mode, the positions of the triangular blocks can be adjusted, the vibration strength is adjusted, and adaptability is enhanced. The overall design is efficient and energy-saving, the cost is reduced, and the filling quality is improved.

This invention provides a high-frequency coil heating forming device for titanium alloy ring-ribbed parts, comprising a high-frequency induction heating unit, an inner-support rotary chuck unit, an automatic horizontal rotary unit, a forming wheel unit, and a hydraulic power unit. The inner-support rotary chuck unit is mounted on the automatic horizontal rotary unit and uses a slider to round the ring ribs. The hydraulic power unit provides power for the slider movement and is located below the automatic horizontal rotary unit. The high-frequency induction heating unit and the forming wheel unit are respectively mounted on the sides of the automatic horizontal rotary unit. The high-frequency induction heating unit heats the ring rib material on the inner-support rotary chuck unit through a high-frequency heating coil, and the forming wheel unit is used to process the end flange structure of the ring ribs. This invention achieves efficient heating of titanium alloy ring-ribbed parts to their forming temperature and maintains it constant. The horizontal rotary table performs horizontal rotational motion, coupled with the forming wheel, to complete the hot forming of the vertical edges of the ring ribs.

The invention discloses an electric vehicle charging station energy storage scheduling method based on a multi-agent system. The method comprises the following steps: obtaining and standardizing operation basic data of a plurality of new energy vehicle charging stations; setting five types of agents, defining observation variables and action space, and constructing a multi-agent system model; constructing a global collaborative scheduling network, and executing strategy evaluation and strategy generation; setting a constraint boundary, and constructing a linear programming scheduling model; constructing a training sample, and performing offline training and updating of a global collaborative scheduling network; solving a local optimal scheduling amount based on the real-time operation basic data, and analyzing to generate a control instruction; and issuing an energy storage control instruction and a computing power unit control instruction, acquiring a cooperative scheduling result to generate a final scheduling result set, and submitting the final scheduling result set to an upper-layer scheduling system. According to the method, a multi-agent collaborative scheduling system is constructed, strategy optimization and linear programming are fused, and efficient, stable and executable global collaborative scheduling of energy storage and computing power tasks of the charging station is achieved.

The invention provides an electric power computing network multi-dimensional resource scheduling method, device and platform and a storage medium, and belongs to the technical field of electric power computing power networks, and the method comprises the steps: obtaining the request information of a current service terminal and the computing power resource information of a cloud side computing node; determining an end-to-end time delay constraint, a cloud edge computing power resource constraint and a cloud edge end network bandwidth constraint of the intelligent server; according to the cloud edge computing power unit price and the network bandwidth unit price, determining an objective function of computing network multi-dimensional resource scheduling optimization by taking minimization of the network bandwidth and the cloud edge computing power overhead as an optimization objective; solving the plurality of scheduling constraint models to obtain an optimal solution; and outputting a computing network multi-dimensional resource scheduling strategy according to the optimal solution. According to the method, under the condition that different computing network resource service quality requirements of multiple services are considered, by dynamically deploying multi-dimensional resources such as network bandwidth, cloud computing power and edge computing power, the low response delay requirements of key services such as environmental risks and equipment faults in power grid operation are effectively met, and meanwhile it is ensured that the computing network resource consumption economical efficiency is optimal.

The invention relates to a power plant unit maintenance optimization method considering multiple uncertain factors of a power market, and belongs to the technical field of power system operation management. The method comprises the following steps: firstly, obtaining spot market electricity price and new energy output data in each time period of a historical year in a power plant; a random scene set considering spot market electricity price and new energy output is established based on historical data, time-varying features are described through data segmentation, state space division and a non-uniform Markov model, and the random scene set is generated by using a Monte Carlo method; and finally, taking maximization of the total expected income of the power plant as an objective function, constructing an optimization model in combination with preset constraint conditions of the unit, inputting the random scene set into the optimization model for solving, and outputting an optimized unit operation and maintenance strategy which comprises maintenance plans of wind power, photovoltaic and thermal power units and corresponding output plans. Multiple uncertain factors in the power market can be effectively handled, and the operation and maintenance benefits of a power plant are improved.

The invention provides an intelligent operation optimization and fault processing method for a hydraulic power unit, and the method comprises the steps: collecting real-time pressure data and flow data from the hydraulic power unit through a sensor network, and carrying out the classification processing of the collected pressure data and flow data through a support vector machine algorithm, obtaining a current operation state classification result of the hydraulic power unit; through power redundancy configuration of the started hydraulic power unit, synchronous signal data are collected for the pressure regulating valve group, a neural network algorithm is adopted to conduct prediction processing on the synchronous signal data, and an expected response time sequence of pressure regulation is obtained; according to the obtained filter mechanism optimization result with the minimized oil path interruption, real-time monitoring is conducted on filter element blockage data in the high-dust environment, anomaly detection is conducted on the filter element blockage data through a support vector machine algorithm, and a predicted deviation value of pressure fluctuation is obtained.

The invention discloses a self-adaptive test system and method for a hydraulic power unit, and the system comprises a test bench which is provided with a fixing tool for fixing the tested hydraulic power unit; the oil tank unit is arranged in the test bed and is used for supplying oil to and pumping oil from the tested hydraulic power unit; and the counterweight test unit is arranged in the test bench, the counterweight test unit comprises a counterweight module, and the counterweight module is connected with a working oil port of a tested hydraulic power unit through a first oil path. The device is simple in structure, directly simulates the real gravity load borne by the hydraulic execution mechanism through the counterweight module, and can accurately test the lifting and descending dynamic performance and the pressure maintaining internal leakage characteristic of the power unit under the load condition. The problems that a traditional back pressure method cannot truly simulate the gravity load, and descending speed control and energy recovery performance are difficult to evaluate are effectively solved.

The invention provides a cogeneration unit peak regulation capability evaluation method, which comprises the following steps: firstly, constructing a thermodynamic system mathematical model, solving system coupling parameters under a deep peak regulation working condition through a multi-layer iterative loop architecture, and generating a multi-working-condition data set which covers a full working condition and meets physical consistency; secondly, deducing a linear qualitative relation equation of the power, the main steam flow and the heat supply steam extraction flow, preprocessing a data set, training a pure data driving model as a performance reference, introducing the linear qualitative relation equation as a physical constraint item into a loss function, and constructing and training a PINN; and finally, the rated boundary condition of the peak regulation capacity is determined, a thermal characteristic curve is obtained through PINN simulation, the peak regulation capacity range and the real-time peak regulation margin under different heat supply requirements are calculated, and the result is transmitted to a power system dispatching platform. According to the method, the all-working-condition peak regulation evaluation precision and reliability can be improved, and the flexibility and universality of the model are enhanced.

The invention discloses a multi-scene coupled extreme weather adaptive power system planning method and system, belongs to the technical field of power system planning, and aims to solve the problem that traditional planning does not fully consider extreme weather influence and does not integrate multi-energy complementarity. Comprising the steps of collecting installed capacity, historical weather and power load data of a power grid unit; a conventional weather scene set is generated through clustering by adopting a kmeans algorithm, and an extreme weather scene set is generated in combination with types of extreme high temperature, cold waves and the like; constructing operation models and policy constraints of the thermal power unit, the new energy unit and the electrochemical energy storage unit; based on the planning-operation coupling framework, establishing a two-stage stochastic programming model with the goal of minimizing the total investment and operation cost; and integrating the multi-scene solving model, and outputting an adjustment power supply planning scheme. Through multi-scene coupling and two-stage optimization, planning and operation collaboration is realized, the economy, safety and adaptability of the power system in extreme weather are improved, and technical support is provided for low-carbon transformation.

The invention discloses a thermal power generating unit main reheating steam temperature wide-load self-adaptive adjusting method and system, relates to the technical field of electric power industry automation and control, and aims at solving the problems that an existing adjusting method is large in steam temperature fluctuation, high in thermal stress and poor in main reheating collaboration under the wide-load working condition. The method comprises the steps of calculating main steam phase saturation and mapping a target value; calculating the maximum change rate based on the thermal physical parameters of the material, and generating a reference track with the limited change rate; the steam phase saturation of the main steam is used as a phase reference, and the reheated steam is controlled to respond according to a preset phase difference; a combustion system, a flue gas temperature adjusting baffle and a temperature reducing water system are cooperatively controlled; the system comprises a vapor phase saturation processing module, a dynamic boundary generation module, a phase coordination control module, an execution mechanism coordination module, a steady state detection module and a mode switching module. Accurate steam temperature adjustment under the wide load is achieved, material thermal stress is reduced, unit operation safety and economical efficiency are improved, and the variable-load operation requirement of the unit is met.

The invention relates to the technical field of peak regulation of coal-fired power units, and discloses a self-adaptive regulation method and system for full-load peak regulation of a coal-fired power unit. The method comprises the steps of collecting unit operation parameters such as boiler temperature, turbine rotating speed and generator voltage, and power grid peak regulation instructions such as real-time load demand and predicted load fluctuation; analyzing a peak regulation state based on the collected data, and dividing the peak regulation state into three types of stable operation, transition regulation and limit peak regulation; then calculating an adjustment characteristic quantity according to the current state and the operation parameters, wherein the characteristic quantity reflects the matching relationship between the unit performance and the peak regulation requirement; generating a plurality of groups of adjustment schemes including combustion optimization, steam adjustment and power control based on the characteristic quantity and the peak regulation instruction; and selecting and executing an optimal scheme by evaluating indexes such as efficiency loss, stability influence and maintenance cost. The method can dynamically respond to the load change of the power grid, accurately adapt to the peak regulation requirement in the full load range, and enable the peak regulation of the unit to be more flexible and harmonious.

The invention relates to the technical field of micro-grids, and discloses a control method of a distributed power supply in a plant micro-grid, and the method comprises the steps: S1, constructing a multi-source collaborative micro-grid system; s2, executing real-time power dynamic allocation; s3, working condition power balance control; s4, active regulation of bidirectional power flow and the like. Based on a real-time AGC instruction and plant load data, a hierarchical coordination mechanism is adopted, charging and discharging power is dynamically adjusted by means of stored energy to track the AGC instruction, and constant power output of wind power is maintained in combination with a wind power prediction model; when a thermal power generating unit is subjected to deep peak regulation, shutdown or fault, the system absorbs excess wind power through energy storage charging, synergistically improves the hydrogen production load power, guarantees dynamic matching of the load and power generation, and actively adjusts energy storage charging and discharging and hydrogen production loads by monitoring the power flow directions of a thermal power generating unit section and a desulfurization section in real time according to voltage fluctuation caused by bidirectional power flow. And the voltage deviation is dynamically compensated, and the system voltage stability is greatly improved.

The invention provides a fault diagnosis method and system for a thermoelectric unit control system, and the method comprises the steps: firstly collecting a multi-source operation signal set in the operation of the thermoelectric unit control system, covering the output of each control module, the action of an execution mechanism, and the feedback signal of a monitoring node, and then mining the fault propagation characteristics of the multi-source operation signal set, generating a fault propagation time sequence causal chain, inverting a fault propagation trajectory for the abnormal operation signal sequence based on the fault propagation time sequence causal chain, generating a potential fault root cause set according to the fault propagation trajectory, and performing dynamic intervention deduction on each potential fault root cause in the set; and generating an intervened signal sequence, performing correlation matching on the intervened signal sequence and the reference signal sequence, determining a target fault root cause, and outputting a fault diagnosis result, thereby realizing accurate diagnosis of the thermoelectric unit control system fault, and ensuring stable operation of the system.

The invention relates to the technical field of mechanical picking, and discloses a shaking and vibrating harvesting device which comprises a walking mechanism and a rack, and a power unit, a speed control system, an amplitude adjusting system, an output mechanism and an executing mechanism are arranged on the rack; the amplitude adjusting system comprises a supporting bearing seat, an input chain wheel, a power transmission shaft, a spacing output disc and a rope connecting wheel, and the power transmission shaft is arranged on the supporting bearing seat; an input chain wheel and a spacing output disc are arranged at the two ends of the power transmission shaft, and the rope connecting wheel is detachably arranged on the spacing output disc; power output by the power unit is transmitted to an input chain wheel of the amplitude adjusting system through the speed control system; the amplitude adjusting system corresponds to the output mechanism in position, and the executing mechanism is connected to a rope connecting wheel of the amplitude adjusting system and is output after passing through the output mechanism. The walnut harvester is suitable for complex mountain terrains, the shaking vibration amplitude can be adjusted, and the walnut harvesting efficiency is greatly improved.