5765 results about "Power output" patented technology

The invention relates to a micro-grid multi-objective optimization scheduling method considering the service life of an energy storage battery, and belongs to the field of active power distribution network operation analysis. The invention relates to a micro-grid multi-objective optimization scheduling method considering the service life of an energy storage battery. The method comprises the following steps: establishing an energy storage system refined operation model in a wind-light storage micro-grid; on the premise of maximum income and maximum new energy consumption, the method has the beneficial effects that the new energy power output fluctuation is responded in time, so that the charge and discharge control of the energy storage system is efficient and accurate, and the purposes of improving the energy storage utilization efficiency, the charge and discharge control accuracy and the power output stability are achieved; according to the improved multi-objective grey wolf optimization algorithm, an initial population strategy, a population individual iteration updating strategy and a multi-objective optimal solution solving mechanism are improved, and the convergence speed, the solution set diversity and the calculation efficiency of the multi-objective grey wolf optimization algorithm are improved through multi-strategy cooperation; the problems of excessive uncertainty and single target of the existing wind and light storage micro-grid are effectively solved.

The invention discloses a transmission driving control method of a bimodal integrated engine. The transmission driving control method comprises the following steps: S1, state sensing; s2, mode decision making; S3, dynamic adjustment; s4, mode switching; S5, power optimization distribution; s6, adaptive learning is carried out; and S7, fault-tolerant guarantee. The invention further discloses a bimodal integrated engine transmission system which comprises the following modules: a power input module; a transmission adjusting module; a state sensing module; an intelligent control module; and a fault-tolerant guarantee module. Parameters are dynamically adjusted through fuzzy PID control according to speed deviation, meanwhile, real-time correction is conducted in combination with a multi-mode intelligent algorithm, speed fluctuation is precisely controlled within + / -3 km / h, flight stability is guaranteed, a model prediction control and multi-mode intelligent control cooperation mechanism is adopted, an optimal power output sequence is calculated in advance, coordinated distribution is completed, and the optimal power output sequence is controlled to be within + / -3 km / h. The dynamic response speed is increased by 40%, and the high-dynamic task requirement is met.

The invention relates to a source-containing power distribution network multi-target collaborative voltage optimization control method based on an FACMAC algorithm, and belongs to the technical field of photovoltaic inversion control. According to the technical scheme, a power distribution network physical system is composed of a plurality of feeder lines, a transformer, a line and a plurality of grid-connected photovoltaic inverters, and each inverter can measure operation information such as local voltage and current in real time; the data acquisition and communication system is used for acquiring node operation data and realizing low-delay communication; the multi-agent reinforcement learning control system is composed of a plurality of distributed agents and factorization centralized Critic modules, and whole-network voltage optimization decision can be carried out in training and execution stages. And the execution unit adjusts the reactive power output of the inverter in real time according to the control instruction. According to the method, the whole-network cooperative regulation and control capability is improved, the training efficiency bottleneck in a high-dimensional scene is relieved, the expression capability on a complex nonlinear coupling relationship is enhanced, and efficient, stable and extensible power distribution network voltage optimization control is realized.

The invention discloses a converter collaborative current limiting method based on adaptive virtual impedance and a power loop, and the method comprises the steps: firstly building an equivalent impedance model of a converter and a power grid, analyzing the steady-state and transient characteristics of fault current, and extracting key parameters for current limiting design; when it is detected that the voltage drop of the grid-connected point exceeds a threshold value, a self-adaptive virtual impedance link is automatically put into use, and virtual resistance and reactance values are dynamically calculated according to the variation amplitude of voltage or current, so that the virtual resistance and reactance values are proportionally adjusted along with the fault degree; and when the system voltage returns to normal, the virtual impedance automatically quits, and the control continuity is ensured. Then, the active and reactive power reference values are dynamically corrected according to the voltage drop depth, a power reference signal matched with the voltage amplitude is generated, it is guaranteed that power output does not exceed the limit, and the voltage supporting capacity is improved. Finally, real-time current-limiting control of the converter and stable operation of the system are realized on the premise of not switching the control mode through the synergistic effect of the virtual impedance ring and the power ring. The method has the advantages of being high in response speed, excellent in current limiting effect, good in control continuity and the like, and is suitable for fault current limiting and voltage support control of the grid-forming converter.

The invention discloses a phase modifier unit state monitoring and load control method and system for reactive power compensation of a power grid, belongs to the technical field of automatic control of power systems, and mainly solves the problem that service life loss is aggravated or a control target is single due to the fact that the health state of equipment is not fully considered when an existing phase modifier unit responds to reactive power requirements of the power grid. The method comprises the following steps of: calculating reactive vacancy and extracting vibration frequency band energy characteristics by acquiring voltage and frequency of a power grid as well as vibration, temperature and exciting current signals of a unit in real time, and constructing a health state index HSI in combination with self-adaptive wavelet basis selection; taking minimum equipment life loss and optimal power grid voltage stability as multiple objectives, dynamically generating a load control instruction by adopting a particle swarm algorithm, realizing weight adaptive adjustment based on HSI, and introducing an online life loss model as a constraint condition; finally, reactive power output is adjusted through an excitation system, and cooperative control of power grid stability and equipment life extension is achieved.

The invention relates to a power distribution network voltage partition control method and system based on a hierarchical K-means clustering algorithm, and belongs to the technical field of power distribution system voltage partition optimization. According to the technical scheme, power distribution network node parameters are collected in a self-adaptive partition mode, a node sensitivity coefficient and an eigenvector of an electrical distance are constructed, and then a K-means algorithm is used for fine region division; selecting a dominant node: solving a Jacobi matrix through load flow calculation, extracting a voltage sensitivity coefficient, and selecting a node with the maximum sensitivity as a dominant node in each partition; multi-objective optimization: constructing an optimization model with minimum network loss, minimum voltage deviation and highest voltage stability as objectives; and partition cooperative control: accessing wind power and photovoltaic power to the dominant node, adjusting reactive power output in real time according to an optimization result, and realizing partition autonomy and global cooperation. According to the invention, voltage fluctuation and out-of-limit are inhibited, system network loss is reduced, control efficiency and economy are improved, and the method is suitable for complex topology and high permeability scenes.

An active-reactive voltage cooperative control method for multiple reactive compensation devices considering energy storage comprises the steps that 1, simulation analysis is conducted on time sequence voltage fluctuation characteristics of a high-permeability photovoltaic grid-connected system, and dynamic influences of photovoltaic output fluctuation in different time periods on system node voltage are quantitatively evaluated; 2, solving a non-dominated solution set of the model by adopting a multi-target particle swarm optimization algorithm, realizing collaborative optimization and trade-off analysis of multi-dimensional performance indexes, and establishing a reactive power regulation model and an energy storage active power support model; and organically coupling the reactive power regulation model and the energy storage active power support model. By means of the method, high photovoltaic area voltage treatment can be effectively carried out in real time, and the method has high engineering application value and wide popularization prospects.

The invention discloses an intelligent self-adaptive suppression method for oscillation of a data-driven SVG (static var generator) grid-connected system. Obtaining the capacitor voltage of the direct current side of the SVG and the actual voltage and the actual current of the grid connection point of the SVG, and respectively calculating the active power output by the SVG and the voltage amplitude output by the SVG according to the actual voltage and the actual current; a current reference value is generated through a voltage outer loop; the active power output by the SVG, the voltage amplitude output by the SVG and the voltage of the direct current side of the SVG are input into a DeePC controller to be processed, and an additional current reference value is obtained; and then the current error is obtained by adding the current reference value output by the voltage outer loop and subtracting the actual current, and then the current error is input to the voltage inner loop for processing to obtain a modulation wave voltage amplitude signal. According to the method, the oscillation of the converter grid-connected system can be suppressed under the condition that the dynamic characteristics of the converter and the conditions of the power grid are changed, and the problems of insufficient fixed structure and parameter sensitivity of the traditional SVG are solved.

Provided in the embodiments of the present disclosure are an optimal control method and system for a distribution network with a high penetration of distributed generators, and an electronic device, a computer-readable storage medium and a computer program product. The optimal control method is applied to a centralized control platform. The method comprises: on the basis of an association relationship between power outputs of distributed generators at various levels, performing multi-level forecasting on historical power generation data of each distributed generator, so as to obtain a day-ahead forecasted output value of each distributed generator; for each distributed generator, determining a day-ahead output adjustment value on the basis of historical power flow data and an optimal power flow optimization model; and sending to the corresponding distributed generator the output adjustment value and forecasted output value of each distributed generator as centralized control instructions, so that the distributed generator controls an output value during each control period within the day ahead on the basis of an acquired real-time output measurement value, the acquired output adjustment value and the acquired forecasted output value.

The invention relates to the technical field of data processing, in particular to a multi-channel controllable power converter for realizing filtering processing and a filtering processing method, and the method comprises the steps: obtaining the signal delay time and voltage signal data of the multi-channel controllable power converter in a current monitoring time period and a historical monitoring time period; according to peak value distribution and frequency distribution of the voltage signal data in each historical monitoring time period, analyzing a noise interference degree, and combining the noise interference degree and the difference of a pulse width parameter change trend to obtain a synchronization characteristic index; according to the signal delay time of the current monitoring time period and the historical monitoring time period, combining the synchronization characteristic index to obtain a filtering weight; and decomposing the voltage signal data in the current monitoring time period according to the filtering weight, and filtering in combination with Gaussian characteristics of decomposed signal components to obtain filtered voltage signal data. The filtering processing result has a good processing effect, and the stability of power supply output is ensured.

The invention discloses an adjustable resource unified data external characteristic modeling, regulation and control method and system oriented to various transaction scenes. The method comprises the following steps: collecting real-time data of an internal adjustable resource of a virtual power plant; the climbing time, the duration, the response capacity and the responsible frequency are quantized and defined as a group of external characteristic parameters, an adjustable resource data external characteristic model is constructed, adjustable resources are classified according to the external characteristic parameters of the model, and an adjustable resource characteristic library is established; in combination with the response characteristic and the load state of each adjustable resource, generating an optimal regulation and control strategy meeting the regulation and control requirements, and allocating a corresponding regulation and control instruction to each adjustable resource; each adjustable resource adjusts power output according to the regulation and control instruction, and meanwhile, the calling cost of each adjustable resource is calculated; in combination with the real-time state and the adjustment cost minimization target, the regulation sequence and proportion are optimized; according to the method, the economy and flexibility of the virtual power plant in multi-scene regulation can be effectively improved, and meanwhile, the accuracy of power grid frequency modulation response and the system stability are enhanced.

The invention discloses a deformation and bearing integrated modular rope-driven flexible mechanical arm and a self-sensing method thereof.The flexible mechanical arm comprises a driving mechanism and a variable-rigidity flexible mechanical arm body, the variable-rigidity flexible mechanical arm body comprises a rope, a corrugated pipe and elastic units, and the multiple elastic units are filled in an inner cavity of the corrugated pipe; the corrugated pipe is provided with a rope guide hole extending in the axial direction of the corrugated pipe, one end of the rope is fixedly connected with the power output end of the driving mechanism, the other end of the rope penetrates through the rope guide hole and is fixedly connected with the corrugated pipe, and when the driving mechanism works, the rope can be driven to move, and then the mechanical arm is pulled to deform. The flexibility of the mechanical arm is improved through fusion of active deformation and a bearing function, additional rigid structure supporting is not needed, and the overall design is simplified; and the bearing capacity and rigidity are adaptively improved through blocking of the elastic units, and the complexity of the driving system is reduced. Meanwhile, the mechanical arm is provided with a self-sensing system, the state of the mechanical arm can be monitored in real time, and the control precision is improved.

The embodiment of the invention discloses a power output control device and a carrier. The power output control device comprises a controller, a main switch module, a self-locking loop and an interlocking turn-off module. The output end of the controller is used for providing a first control signal and a second control signal; the main switch module is used for responding to the first control signal and is switched on when the first control signal is a turn-on signal so as to supply power to a load; the self-locking loop is used for feeding back an output signal of the main switch module to the input end of the main switch module after the main switch module is switched on, so as to maintain the switch-on state of the main switch module; and the interlocking turn-off module is used for responding to the first control signal and the second control signal, conducting when the first control signal is a turn-off signal and the second control signal is an unlocking signal, and inputting an output signal of the interlocking turn-off module to the main switch module so as to actively break the self-locking loop, turn off the main switch module and stop supplying power to the load. Through the device, the driving safety is obviously improved.

The invention belongs to the technical field of aviation hybrid power, and discloses a self-adaptive intelligent power distribution control method for an aviation hybrid power system, which comprises the following steps: constructing a full-dimensional state model through multi-dimensional perception fusion, predicting working condition transition in combination with deep reinforcement learning, and dynamically adjusting a power distribution strategy; the response speed is guaranteed preferentially during emergency takeoff, energy recovery is emphasized during conventional landing, the problem that a traditional distribution mode is disjointed with actual requirements is solved, power output of an engine and a battery better fits the flight working condition, and stable operation can still be achieved in complex environments such as sudden airflow; by introducing digital twinborn rehearsal verification and adaptive robust control, risks of engine overtemperature, battery overcharge and the like are exposed and corrected in advance through virtual simulation, disturbance is dealt with in combination with a'basic + compensation 'power structure, part faults caused by unreasonable power distribution in traditional control are avoided, and the reliability of the system is improved. And the reliability of the hybrid power system in key stages of takeoff and landing is improved.

The invention provides a non-market power load dynamic prediction method and system based on a dimension separation mechanism, and relates to the field of power transaction, and the method comprises the steps: constructing a multi-scale time sequence database; screening low-correlation features through segmented regression, carrying out reverse processing on the low-correlation features, and carrying out re-evaluation and extraction in a condition subspace to obtain multi-dimensional condition features; predicting an annual total amount and a monthly decomposition scheme based on macroeconomy, policy characteristics and history monthly; separating the trend from the seasonal component by using a deep decomposition architecture, and outputting a monthly score daily outline and a daily load total amount; calculating a characteristic similarity matching historical daily curve, and weighting to generate 15-minute-level time-sharing prediction data to obtain daily time-sharing prediction data; combining the prediction data step by step, dynamically adjusting the feature weight, optimizing the model, and outputting multi-scale load prediction. The method is used for overcoming the defects that in the prior art, the power output change of each power supply is large due to the fact that the power supply characteristics are different according to the fixed-point policy.

The invention discloses a voltage regulation and control method and system suitable for a distributed energy storage photovoltaic transformer area of a power distribution network. The method comprises the following steps: establishing a transformer area active power distribution network model for carrying out voltage regulation and control by considering distributed photovoltaic, wind power, an energy storage system, a static var compensator and a load node; a voltage regulation problem is modeled as a Markov decision process, a state space comprises multi-source power information and energy storage state information, and an action space is controlled quantities of a static var compensator and an energy storage system; a Markov decision is solved by adopting a depth deterministic strategy gradient algorithm based on Actor-Critic dual networks, a control action is generated through a strategy network Actor, and a current strategy is evaluated through a value network Critic for training; and inputting the trained strategy network based on the current observation state, outputting an optimal energy storage active / reactive power output and SVC reactive power compensation control instruction, realizing online adjustment of node voltage, and realizing stable control of transformer area voltage.

The utility model discloses a rotary table with a lifting adjusting function, and belongs to the technical field of rotary tables. The rotary table comprises a base of a cavity shell structure. The driving assembly comprises a driving motor and a transmission assembly, the driving motor is installed on the base, the transmission assembly is installed in an inner cavity of the base, and an output shaft of the driving motor is connected with the power input end of the transmission assembly; the lifting assemblies are vertically installed on the base in an array mode, the power input end of each lifting assembly penetrates through a shell of the base and extends to an inner cavity of the base, and the power input ends of the lifting assemblies are connected with the power output end of the transmission assembly; and the rotary table base is installed at the power output end of the lifting assembly, and a rotary table body is rotationally installed on the rotary table base and used for installing a workpiece. The driving assembly is used for providing power for the lifting assembly, the lifting assembly is used for horizontal lifting adjustment of the rotary table base, and the problems that an existing rotary table lifting adjusting mechanism is exposed, adjustment clamping stagnation is likely to occur, and shielding is caused are solved.

The utility model provides an adhesion agent emulsification reaction kettle which comprises a kettle body, an inclined motor, an inclined stirring component, a stirring driving motor, a stirring shaft, a plurality of stirring blades and turbine blades, the kettle body is provided with a closed inner cavity, a feeding port is formed in the top of the kettle body, a discharging port is formed in the bottom of the kettle body, and the inclined motor is arranged at the bottom of the kettle body. The inclined stirring component is fixedly connected with the power output end of the inclined motor and located at the bottom of the closed inner cavity, the stirring driving motor is arranged at the top of the kettle body, the power output end of the stirring driving motor is fixedly connected with a stirring shaft, and the stirring shaft is located in the closed inner cavity; the multiple stirring blades are fixed to the surface of the stirring shaft at intervals in the axis direction of the stirring shaft, the turbine blades are fixed to the bottom end of the stirring shaft, and a gap is formed between the turbine blades and the cavity bottom of the closed inner cavity. According to the utility model, materials at the bottom of the kettle generate stronger radial flow to form local strong turbulent flow, so that the mixing and circulation of the materials in the kettle are enhanced.

The invention discloses a micro-grid parallel-separation operation switching method, which relates to the technical field of micro-grids and comprises the following steps: S1, collecting real-time state data of a micro-grid, calculating system instability and generating a stability state label; s2, generating an ultra-short-term prediction result, and calculating an energy buffer potential well parameter set and a virtual inertia coefficient in combination with a stability label; s3, triggering a mode switching instruction based on the stability state label, executing the energy buffer potential well parameter set and the virtual inertia coefficient to control the output of the energy storage system, and completing grid-connected and off-grid mode switching; s4, the harmonic content of the power grid is collected, and a protection constant value and reactive power output are dynamically adjusted according to the instability degree of the system; and S5, constructing a system support framework by constructing a hierarchical communication network, deploying a redundancy mechanism and adopting a staged implementation strategy. And through real-time stability evaluation, virtual inertia adjustment and ultra-short-term prediction optimization, the stability, the electric energy quality and the adaptive capacity in the grid-connected and off-grid switching process of the micro-grid are improved, and high reliability and flexibility of the system are ensured.

The invention relates to a doubly-fed variable-speed pumped storage unit fractional order PID additional frequency control method and system, and the method comprises the steps: building an electrical mathematical model of a doubly-fed induction motor based on a synchronous rotating coordinate system, enabling a stator flux linkage to be aligned with the d-axis direction through employing a stator flux linkage directional control strategy, and enabling the stator flux linkage to be aligned with the d-axis direction; therefore, decoupling adjustment of active power and reactive power output by the unit is realized. The frequency deviation between the power grid common connection point frequency and the rated frequency is obtained and serves as an input signal of the fractional order PID additional controller, the frequency deviation can be effectively restrained under various working conditions, the system stability and the inertia supporting capacity are enhanced, and the method is suitable for auxiliary frequency control of a variable speed pumped storage unit in a high-proportion new energy power grid.

The invention relates to a power distribution network dispatching optimization method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring power supply output information and load demand information of a plurality of polymers in a power distribution network; according to the power supply output information and the load demand information, determining reference interaction power among the plurality of polymers; the reference interaction power is optimized according to the parameter information of the power supply devices in the polymers through the polymers until a preset convergence condition is met, and target interaction power among the multiple polymers is obtained; according to the target interaction power and the parameter information of the power supply equipment in each aggregate, target output information of the power supply equipment in each aggregate is determined; and performing energy scheduling on the power supply equipment in each polymer according to the target output information. By adopting the method, the dispatching optimization efficiency and effect of the power distribution network can be improved.

The invention discloses a VSG-based low-voltage ride-through hybrid control method for a network-building converter. The method comprises the following steps: acquiring grid-connected point voltage and output current of a grid-forming converter in real time, and judging whether to enter a low-voltage ride-through state according to a grid voltage drop degree; in the initial stage of a fault, a current reference saturation mode is adopted to quickly limit the output current of the converter so as to prevent a power device from being damaged by overcurrent; in the fault duration stage, a dynamic self-adaptive virtual impedance and reactive power reference coordinated regulation mechanism is introduced, so that the converter gradually recovers the reactive power injection capability while limiting the fault current, thereby realizing effective support for the grid-connected point voltage; when the voltage of the power grid drops seriously, the capacity of the inverter can be reserved for the reactive power support by temporarily reducing the output of the active power. According to the method, the current protection and voltage support requirements during the fault period are considered, and the operation stability and the power grid adaptive capacity of the grid-forming converter in the low voltage ride-through process are improved.

The invention provides an axial magnetic flux generator, a range extender and a power generation system, and relates to the technical field of generators, the axial magnetic flux generator provided by the invention adopts an asymmetric double-rotor structure, the radius of a first rotor disc is greater than that of a second rotor disc, and the first rotor disc and the second rotor disc are respectively matched with a first winding and a second winding with corresponding sizes and are arranged at two sides of a stator assembly. The rotating shaft drives the two rotors to rotate at the same time, multi-stage power output is achieved, and the output power of the first winding is larger than that of the second winding. Different power output channels can be matched according to different power generation working conditions, high heat efficiency intervals of the engine under different torque outputs can be effectively adapted, and therefore the power generation efficiency and the energy utilization rate of the generator are improved.

The invention relates to the technical field of unmanned aerial vehicle power systems, in particular to a low-altitude unmanned aerial vehicle hydrogen-electricity hybrid energy management system and control device.According to the low-altitude unmanned aerial vehicle hydrogen-electricity hybrid energy management system and control device, the residual hydrogen amount can be accurately quantified through combined collection and fusion calculation of hydrogen flow signals and air pressure signals; and the opening state of the proportional valve and the air inlet valve is adjusted in real time under data driving, so that the hydrogen input is matched with the actual power requirement, the voltage, the current and the temperature are synchronously monitored, and fluctuation feature extraction and life parameter calibration are performed on a power output sequence. The operation health degree and the life loss trend of the fuel cell can be dynamically obtained before power distribution, an accurate reference basis is provided for follow-up power allocation, the internal resistance change trend is measured and calculated through voltage and current sampling, and dynamic adjustment of the charge-discharge depth and charge-discharge process parameters is carried out in combination with the health degree. And the usability and the load capacity of the lithium battery are accurately represented.

The invention relates to the technical field of vehicles, in particular to a dual-redundancy power supply management system and method, and the system comprises an intelligent power distribution unit which is integrated with a first-stage power distribution circuit and a second-stage power distribution circuit; a plurality of MOS (Metal Oxide Semiconductor) tubes are arranged in the primary power distribution circuit and are used for executing corresponding switching operations according to different power failure modes; the secondary power supply distribution circuit comprises a plurality of high-side driving units and is used for providing controlled power supply output for a load, and the high-side driving units have the functions of current detection, temperature detection and fault protection; and the control unit is used for controlling the on-off states of the MOS tube and the high-side driving unit and realizing feedback and remote control of fault information through a bus. Therefore, the problems of low integration level, limited functions, insufficient safety, difficulty in meeting high-order intelligent driving requirements and the like of a vehicle power supply management scheme in related technologies are solved.

The invention discloses a carbon emission flow analysis method for carbon emission evaluation in multiple application scenes, belongs to the technical field of power system carbon emission modeling and evaluation, constructs a connection relationship among nodes, branches and a power supply in a power system, and collects output data and type information of a power generation power supply and a power flow result in multiple operation conditions. The method comprises the following steps: calculating carbon emission of a power generation node, distributing the carbon emission to a load node according to a power flow path, identifying a carbon emission source of the load node by adopting a power tracking method, and calculating carbon emission intensity and a carbon potential index; a transmission structure of carbon emission in a power grid is defined, step-by-step distribution and flow direction tracking of the carbon emission are realized, and the defect that a carbon emission path is unobservable in the prior art is overcome; the identification precision of the carbon emission composition is improved, and a basis is provided for the priority division of energy-saving and emission-reducing measures; a carbon emission path mapping matrix and a transition probability matrix are constructed, dynamic identification of path changes is realized, and discovery of key paths and nodes is facilitated.

The invention relates to a wave energy conversion device, a control method thereof, a control device and a storage medium, and relates to the field of wave energy power generation. The wave energy conversion device comprises a wave energy conversion unit, a fixed reflecting wall structure and a mooring and anchoring system. The wave energy conversion unit comprises a floater, a power output device and a connecting structure for connecting the floater and the power output device; the static immersion depth of the floater in the initial state is configured to respond to wave excitation and mainly take heaving motion, and the power output device is used for converting the heaving motion of the floater into available energy to be output; the wave energy conversion unit is connected to a seabed or a fixed reflecting wall structure; the fixed reflecting wall structure is arranged on one side of the wave energy conversion unit and is used for reflecting waves with opposite propagation directions, so that the wave energy forms energy accumulation in a local area around the wave energy conversion unit; and the mooring and anchoring system is used for stabilizing the wave energy conversion unit and the fixed reflecting wall structure in a preset water area environment together.

The invention relates to the technical field of suspension conveying systems, in particular to a servo-driven intelligent suspension conveying system, and solves the problems that when a servo motor suspension conveying system accelerates or decelerates, due to inertia of goods at the bottom, the power output power of a suspension system of a servo motor and the burden of a brake system are heavy, and the service life is short. And the service life of a servo motor and a brake system is shortened after long-time work. A servo-driven intelligent suspension conveying system comprises a conveying guide rail module, a guide rail sliding block, a sliding block driving module, a conveying suspension module and a control module, and the sliding block driving module is located on the outer side of the guide rail sliding block. When the guide rail sliding block is started, magnetic repulsion of the electromagnet to the guide rail sliding block is adjusted, the output torque of the double-shaft servo motor and the rotating load of the driving shaft are reduced, the situation that the double-shaft servo motor is damaged or breaks down due to high torque and high load when the double-shaft servo motor is started is avoided, and the service life of the double-shaft servo motor is prolonged.

The utility model discloses a stone processing edging device which comprises two fixing frames which are symmetrically arranged up and down, and a polishing mechanism used for polishing the edge of a stone is arranged between the fixing frames. The grinding mechanism comprises supporting synchronous wheels, a first motor, a driving synchronous wheel, a transmission synchronous belt, a second motor and an edge grinding wheel, the multiple supporting synchronous wheels are evenly and movably arranged on one side of the surface of the fixing frame through rotating shafts, and the first motor is fixedly arranged on one side of the fixing frame; and a driving synchronizing wheel is fixedly arranged at the power output shaft end of the first motor. The stone edge grinding device is good in using effect, special fixing and aligning are not needed during edge grinding, stone is inserted between the upper conveying synchronous belt and the lower conveying synchronous belt through the guide wheels, then edge grinding work of the stone can be automatically completed under the conveying effect of the conveying synchronous belts, and therefore the edge grinding efficiency can be greatly improved.

The invention provides an energy management strategy verification platform for a plug-in series hybrid power ship propulsion system. The energy management strategy verification platform comprises a power source module, a power output module, a load simulation module, a transmission module, a sensor measurement module and a control system module, the power source module outputs electric energy through multi-energy cooperation; the power output module generates propelling power according to the electric energy; the load simulation module simulates load characteristics according to the propulsion power; the transmission module is connected with the power source module and the power output module as well as the power output module and the load simulation module; the sensor measurement module collects operation parameters of the verification platform; and the control system module executes an energy management strategy according to the operation parameters and outputs a control instruction. A graphical programming environment is constructed by adopting a modeling code automatic generation system, and a strategy rapid prototype development verification closed loop is formed in combination with a range extender intelligent start-stop control strategy and a multi-mode power generation control strategy.