2571 results about "Power compensation" patented technology

A tracking and adaptive compensation method for power fluctuation of a pulse load of a ship is provided. The method includes: based on a microgrid topology model of the ship, a pulse load model of the pulse load, and an interharmonic power and pulse parameter relationship model, performing power fluctuation tracking, frequency selection and a power spectrum analysis to obtain filtering parameters of a low-pass filter and filtering parameters of a band-pass filter; performing waveform adaptation to eliminate a phase delay caused by the low-pass filter and the band-pass filter, and obtaining a control command for a power compensation strategy; and generating, by a power loop, a pulse width modulation (PWM) signal to control a switching tube in a bidirectional direct current (DC) / DC converter of each of an energy storage battery pack and a supercapacitor of a hybrid energy storage system.

The invention relates to the technical field of charging pile power distribution, and discloses a charging pile dynamic power distribution method and device based on load prediction, and the method comprises the steps: carrying out the system identification analysis of the real-time operation data of a charging pile, and constructing a charging pile system small signal model; training to obtain a low-sensitivity load prediction model and a high-sensitivity load prediction model, and generating charging load prediction data; performing control optimization calculation to obtain a dynamic power compensation control parameter; genetic optimization and multi-stage power distribution are carried out, and a multi-stage power distribution scheme including a conventional load distribution mode and a peak load distribution mode is obtained; power limitation is carried out by reducing charging power of non-priority users, load transfer is carried out through power coordination of adjacent charging piles, an emergency power adjustment control instruction is obtained, a closed-loop optimization mechanism is adopted, and stable operation of a charging pile system under various working conditions is guaranteed through parameter online optimization and dynamic adjustment of a control strategy.

The invention discloses a flywheel energy storage system control method based on data center photovoltaic power supply, and belongs to the technical field of power system and new energy grid-connected control, and the method comprises the steps: obtaining the output prediction data of photovoltaic power generation, the real-time load power, the voltage fluctuation parameter of a commercial power grid, and the real-time rotating speed state of flywheel energy storage; generating a power gap predicted value by taking the real-time rotating speed state of flywheel energy storage as a dynamic constraint variable; generating a flywheel commercial power cooperative control strategy according to the commercial power voltage fluctuation parameter; the temperature change rate of the flywheel motor is detected in real time, and a control instruction is generated; and synchronously sending the control instruction to the photovoltaic inverter and the flywheel motor, adjusting the parameters of the photovoltaic inverter and the flywheel rotating speed response data, and dynamically updating the control parameter set. According to the invention, a dual adjustment mechanism of flywheel rotating speed dynamic constraint and voltage fluctuation ratio weight distribution is adopted, and a temperature gradient harmonic collaborative suppression strategy is combined, so that millisecond-level power compensation response can be realized, the power grid dependence degree is reduced, and the service life of an energy storage system is prolonged.

The invention relates to the technical field of power electronics, in particular to a photovoltaic off-grid inverter control method and system, and the method comprises the following steps: applying a test signal to identify an output interaction characteristic parameter, predicting the power generation power through combining with weather and attenuation, calculating the power fluctuation, and adjusting a current control parameter set. And calculating voltage and reactive power compensation parameters to generate an inverter control instruction, and combining a temperature load prediction trend to adjust a power allowable value to obtain a predictive power calibration coefficient. According to the invention, by analyzing the output interaction characteristics, enhancing the perception capability of the inverter to the actual operation environment, combining with the prediction of the photovoltaic power generation amount, realizing the prediction and influence evaluation of the power fluctuation, improving the adaptive adjustment capability of the current control parameters, improving the output voltage and reactive power control precision by utilizing the interaction characteristics, and optimizing the electric energy quality; and through thermal management of multi-point temperature and load prediction, the operation safety is improved, the service life of equipment is prolonged, and the operation performance of the photovoltaic off-grid system in a complex environment is improved.

The invention discloses a multi-source reactive power compensation control method, system, program, medium and device, and relates to the technical field of power grid systems, and the method comprises the following steps: extracting the dominant influence characteristics of the reactive power of a power grid as the input of a CNN-LSTM network, predicting the vacancy interval of the reactive power of the power grid, and taking the vacancy interval as the power distribution target of the multi-source reactive power compensation device; a power distribution model of the multi-source heterogeneous reactive compensation integrated system is constructed by taking minimization of system network loss and voltage drop and stability of the multi-source heterogeneous reactive compensation integrated system as optimization targets. The influence factors of the reactive power of the power grid are researched, and the influence characteristics are used as neural network input to predict the vacancy interval of the reactive power of the power grid, so that the spatial-temporal distribution characteristics of the reactive power of the power grid can be reflected, the change trend of reactive requirements is provided for power grid operators, and corresponding reactive compensation measures are taken in time.

The invention relates to the technical field of power electronics, in particular to a control method for a low-voltage intelligent reactive compensation system of a submerged arc furnace. Comprising the following steps: acquiring three-phase voltage, current, power factor, harmonic content and temperature parameters of the low-voltage side of the submerged arc furnace through a sensor network; the load fluctuation of the submerged arc furnace in the future 1-5 minutes is predicted based on a deep learning algorithm, and a compensation demand pre-judgment value is generated; according to a load prediction result and a real-time working condition, performing dynamic switching from three modes of fixed compensation, grouped switching and continuous adjustment; harmonic component dynamic tracking compensation is carried out by combining an active power filter (APF) and a static var generator (SVG); the system overvoltage, overcurrent and temperature parameters are monitored in real time, and a grading protection mechanism is triggered and fed back to the compensation strategy adjusting module. The invention provides a control method for a low-voltage intelligent reactive compensation system of a submerged arc furnace so as to improve the response speed of the system, prolong the service life of equipment and guarantee the electric energy quality of a power grid.

The invention relates to the technical field of power grid operation and maintenance, and discloses an AI-based reactive compensation optimization method and system, and the method comprises the following steps: integrating the four-dimensional characteristics of traffic flow, power grid load, user preference and equipment health degree, constructing a space-time correlation graph model, achieving the adaptive evolution of a topological structure through dynamic graph convolution and an attention mechanism, and obtaining a reactive compensation optimization model. The method comprises the following steps: fusing spatial-temporal features of a graph neural network with a BiGRU time sequence for modeling, injecting an equipment health degree attenuation factor, generating a charging demand prediction result with uncertainty quantification, expanding an intelligent agent state space, improving a reward function, and embedding equipment health degree constraints in a strategy network and near-end optimization. By sensing the degradation state of the equipment in real time and intelligently adjusting the reactive compensation strategy, the service life of the old equipment is prolonged while the voltage stability is guaranteed, the deviation accumulation effect is effectively inhibited through feedforward-feedback composite control and dynamic rescheduling, and accurate matching of a scheduling instruction and actual output is ensured.

The invention relates to the technical field of electric power reactive power compensation, in particular to a novel static dynamic reactive power compensation device and a control method thereof, and the device comprises a power grid state monitoring module, a reactive power demand calculation module, a compensation control execution module, a harmonic suppression module and a dynamic energy storage support module. According to the method, through real-time extraction and segmented analysis of the dynamic operation parameters of the power grid, accurate perception of the state of the power grid is realized, the transient characteristics of operation are represented, an accurate basis is provided for subsequent compensation, decomposition and classified accumulation of reactive power requirements are realized, inductive and capacitive power differences are accurately identified, the calculation accuracy and efficiency are improved, and load adaptation is optimized; in harmonic suppression, resolution and response speed are enhanced through signal separation and frequency correction, energy storage and compensation linkage is improved through dynamic energy storage optimization, dynamic response capability is enhanced, loss is reduced, voltage stability and power factors are improved, stable guarantee is provided for complex fluctuation scenes, and electric energy is saved.

The invention relates to the technical field of power grid optimization, in particular to a regional power grid reactive power optimization control method and system, and the method comprises the steps: building a dynamic response matrix according to key characteristic parameters of reactive power compensation equipment in a regional power grid; dynamically tracking the reactive power flow of the power grid according to the dynamic response matrix and the regional power grid line power flow operation state data to obtain a reactive power demand change trend; determining a target output adjustment value of each reactive compensation device according to the reactive demand change trend; generating an output adjustment control instruction according to the target output adjustment value; and adjusting the reactive power output of each reactive power compensation device according to the output adjustment control instruction, and dynamically adjusting the output limit of the reactive power compensation device according to the device operation state and the reactive power data of the reactive power compensation device in the reactive power output adjustment process of the reactive power compensation device. By dynamically adjusting the output limit of the reactive power compensation equipment, accurate control and optimal adjustment of the output of the reactive power compensation equipment are realized, and the reactive power compensation efficiency of a power grid is improved.

The invention relates to the technical field of hybrid inverters, and discloses a hybrid inverter supporting reactive compensation and a control method thereof, and the hybrid inverter comprises a DC input unit, a three-phase full-bridge inversion unit, a grid-connected switching unit, a signal acquisition unit and a digital control unit. The direct current input unit comprises a photovoltaic interface, a battery interface and a direct current bus and is used for converging photovoltaic and energy storage electric energy; the three-phase full-bridge inversion unit is composed of a power device and an LCL filter and converts direct current into alternating current. The grid-connected switching unit comprises a static switch and an isolation transformer and is used for controlling power grid connection; the signal acquisition unit detects voltage and current signals; and the digital control unit judges a grid-connected mode or an off-grid mode according to the signal, calculates a reactive current reference value and generates a PWM (Pulse Width Modulation) control signal so as to realize reactive compensation control in the grid-connected mode and the off-grid mode. According to the invention, reactive power compensation capability is provided in both grid-connected and off-grid operation modes, and stable operation of the inverter in various working conditions is ensured.

The invention relates to a power equipment state self-healing operation and maintenance method, and belongs to the field of power equipment operation and maintenance, and the method comprises the steps: obtaining the real-time operation state data of a power supply in a current multi-source power supply system, collecting the data through a preset sampling frequency, and constructing a power supply state matrix; a conversion time constraint condition is set in advance, a zero-delay switching decision tree is constructed and a power supply switching decision is output in combination with a main power supply fault risk assessment result, and if the main power supply fault risk assessment result is abnormal, the standby power supplies are switched according to the determined switching priorities of the standby power supplies and the power supply switching decision; after the switching is completed, monitoring the power supply continuity index of the power equipment in real time, and if the power supply fluctuation time or the phase jump amplitude exceeds a preset allowable value, smoothing the power supply fluctuation by adopting the rapid power compensation function of the energy storage device; the stability and reliability of the multi-source power supply system are improved, and intelligent power supply switching and self-healing disaster recovery are realized.

The invention discloses a rotor fault positioning and power reconstruction system and method for a composite wing unmanned aerial vehicle, and belongs to the technical field of unmanned aerial vehicle fault-tolerant control. The system comprises a data acquisition module, a fault verification module and a power redistribution module, and is characterized in that firstly, a rotor fault-attitude change direction symbol mapping table is established according to a rotor physical layout and attitude dynamics relationship, and a fault type is identified; after symbol matching is met, a dynamic threshold energy verification function is constructed for judgment, and whether the rotor has a real fault or not is judged through a fault dual verification model of symbol matching and energy verification; a control distribution matrix is dynamically reconstructed according to the verified fault rotor position, power compensation is provided by coordinating normal rotors, and stable control over the flight attitude is achieved. The invention provides an effective method for reducing the false alarm rate and the fault response time of the sensor, so that a control system can quickly respond and recover the flight attitude when the rotor wing suddenly fails, the attitude control stability is ensured, and the flight safety is remarkably improved.

The invention relates to the technical field of generator control, and particularly discloses an SVG static var generator control method and system, and the method comprises the steps: constructing a reactive-voltage sensitivity matrix containing a node sensitivity weight based on the real-time measurement data of a power grid, and obtaining a node sensitivity matrix; a dynamic sorting strategy of device priority grading is generated, a distributed compensation priority queue of all devices is obtained, and the devices comprise an SVG cluster and a photovoltaic inverter cluster; executing reactive power distribution under a capacity constraint condition based on the distributed compensation priority queue, and generating a target reactive power compensation amount with the capacity constraint condition; generating a hierarchical coordination control instruction of the SVG and the inverter according to the target reactive compensation amount, and obtaining a hierarchical control instruction set; executing the distributed cooperative compensation driven by the hierarchical control instruction set, and completing the dynamic regulation of the power grid voltage; the reactive power regulation capability of different devices in a power grid can be fully utilized, the accuracy and response speed of reactive power distribution are improved, and resource waste and excessive compensation are avoided.

The invention relates to a charging pile energy management method, system and device and a medium, and belongs to the technical field of charging pile energy management, and the energy management method comprises the steps: receiving a vehicle charging demand, calculating the charging urgency degree, obtaining the real-time state of a charging pile, calculating the power margin, and constructing a charging pile-vehicle adaptation matrix; and then, the system calculates a power distribution strategy and sends the strategy to the vehicle end to ensure reasonable matching of charging resources. The system calculates the safety limit value in real time and adjusts the actual distribution power to ensure the safe operation of the charging pile. And if the power of a certain charging pile is insufficient, calculating a to-be-migrated power amount and generating a load migration strategy, and adjusting the bus voltage by utilizing the energy storage equipment to carry out cross-pile power migration. After charging is started, the system monitors and executes feedback, dynamically optimizes a power distribution strategy, and identifies a low-efficiency charging pile for power compensation. The charging pile resource allocation can be optimized, the overall charging efficiency is improved, and the user experience is improved.

The invention relates to the technical field of charging management, and discloses an intelligent charging management method, device and equipment for an electric scooter and a storage medium, and the method comprises the steps: carrying out the parameter collection and initialization setting of a single-phase bidirectional converter and a permanent magnet synchronous motor in the electric scooter, obtaining system basic parameters and communication data, and obtaining a network authentication identifier and a charging station operation parameter. And dynamic planning of a charging strategy is executed according to the parameters to generate a segmented charging control curve. And the data are input into the self-adaptive prediction controller to realize real-time adjustment in the charging process, and charging state data and power compensation parameters are obtained. And adopting a double-neural network model structure to obtain a battery safety feature matrix and a fault probability vector. And constructing a three-dimensional charging state space model to carry out optimization calculation on the power compensation parameters, inputting a deep reinforcement learning network to carry out iterative optimization, and generating charging control parameters of the next period, thereby improving the charging efficiency and the electric energy quality of the electric scooter.

The invention aims to solve the problem that a control coordinate system and a power grid reference coordinate system are out of synchronization due to the fact that the power transmission capability of a system cannot meet the requirement of a power instruction after a low-voltage fault occurs. The invention provides a virtual power compensation (VPC) synchronous control strategy with power compensation capability, the strategy keeps synchronous with a power grid during a low-voltage fault period and still has the capability of supporting the amplitude and frequency of the voltage of the power grid, and the recovery after the fault is realized through an improved current limiting strategy. The provided VPC and current amplitude limiting strategy solves the transient instability problem of a virtual synchronous generator (VSG) under large disturbance, fault removal and recovery are achieved, and fault detection, on-line control switching and power reference value self-adaption are completely not needed any more in the process. Simulation and experiment results verify the effectiveness of the method.

The invention relates to the technical field of photovoltaic voltage regulation, and discloses a distributed photovoltaic power distribution network voltage control system and method. According to the system and the method, voltage and power information of each measurement point is acquired through a data acquisition module, related data of the photovoltaic inverter is collected, and a communication module receives the data and transmits the data to a control module and a monitoring management module; the control module calculates voltage-power sensitivity, a power factor, voltage deviation, power loss and reactive power compensation requirements according to the data, evaluates the running state of the current power grid and judges whether reactive voltage regulation is needed or not, and the monitoring and management module calculates system response time and fault occurrence probability and controls the system response time and the fault occurrence probability. And judging whether the control effect reaches the expectation or not, analyzing faults and abnormities, providing an adjustment strategy for the voltage stability and the photovoltaic power generation efficiency by the optimization scheduling module, acting on the control module again, optimizing system operation by issuing a new control signal, generating a system optimization report and sending the system optimization report to a display end.

The invention discloses a charging pile intelligent energy-saving management method and system based on big data, and relates to the technical field of charging pile energy-saving management, and the method comprises the steps: collecting the parameter data of a charging pile and a charging device, forming a data set, carrying out the preprocessing, constructing an input feature matrix, inputting a trained charging power prediction deep learning model, and obtaining a charging power prediction model; outputting the predicted charging power, performing target optimization, and adjusting the charging power of the charging pile to perform energy-saving management; during charging, charging power is compensated according to the actual battery electric quantity and the calculated target battery electric quantity at the next time interval; and monitoring the charging pile to generate a health state coefficient, and when the health state coefficient is smaller than a preset health threshold value, generating a charging pile early warning signal for maintenance. Through power prediction, health state monitoring and charging power compensation, dynamic optimization and stable control of the charging process are realized, energy consumption is effectively reduced, the service life of equipment is prolonged, the charging stability is improved, and the charging process is ensured to be highly matched with an actual demand.

A method for configuring reactive power capacity of a power grid to which offshore wind power is connected on a large scale includes the following steps. Static voltage stability index of substations in a regional power grid to which the offshore wind power is connected on the large scale and at multiple points and relative dynamic voltage drop area index for an N-2 fault are calculated. Thus, weak nodes in voltage stability are located, thereby implementing a prediction of a risk to the voltage stability of the regional power grid. These nodes are used as candidate reactive power compensation configuration nodes. An objective function is established as the minimum total cost of reactive power compensation devices at the candidate reactive power compensation configuration nodes. A multi-type reactive power optimization configuration model including static voltage stability constraints, voltage stability constraints under faulty state, and other constraints is solved.

The invention relates to the technical field of temperature control of high-precision industrial heating equipment, in particular to an anti-interference precise temperature control method and system for heating an upper die, and the method comprises the steps: starting a multi-region heating array, heating the upper die to a target temperature according to a preset temperature rise curve, and building a uniform thermal field; before the high-pressure medium is introduced, heat load change caused by the high-pressure medium is predicted based on medium process parameters; in the medium introduction process, dynamic anti-interference compensation control is executed, a feedforward power compensation instruction based on a thermal load and a feedback power fine tuning instruction based on temperature deviation are generated respectively, and the feedforward power compensation instruction and the feedback power fine tuning instruction are weighted and fused into a composite power driving signal for adjusting a heating array; when the temperature fluctuation converges to a stable threshold value, the feedforward compensation weight is gradually reduced, smooth switching to steady-state control is achieved, transient thermal shock caused by a high-pressure medium is effectively restrained through feedforward and feedback cooperative compensation and dynamic weight adjustment, the temperature fluctuation is reduced, and the temperature control precision and stability are improved.

The invention provides a power grid energy conservation and loss reduction system based on dynamic reactive compensation and a reliability optimization method, and belongs to the technical field of power grid energy conservation and loss reduction. Comprising a data acquisition module which is used for acquiring real-time electrical parameters of a power grid; the reactive power demand calculation module is in communication connection with the data acquisition module and is used for receiving the real-time electrical parameters of the power grid transmitted by the data acquisition module, and the reactive power demand calculation module is further used for calculating the real-time electrical parameters of the power grid based on an improved compensation demand prediction algorithm. And according to the real-time electrical parameters of the power grid, dynamically calculating a reactive compensation amount and a reactive compensation type, and generating a compensation instruction by combining the reactive compensation amount, the reactive compensation type and a preset threshold value. The beneficial effects are that the compensation instruction is generated according to the reactive compensation type and the preset threshold value, and the compensation execution module switches the compensation device according to the compensation instruction, thereby realizing reactive dynamic adjustment, and enabling the power grid to achieve the effects of energy saving and loss reduction.

The invention, which belongs to the technical field of electrical variable adjustment, provides an integrated one-machine double-gun direct-current charging pile comprising a main control module, a double-path power conversion module, a communication interface module, a data acquisition module, a charging control module, a display interaction module, a safety monitoring module, an energy storage module, a metering module and a power management module. The main control module is internally provided with a control chip, a system control module in the control chip firstly obtains charging state data through a data acquisition module, performs eigenvalue decomposition on a charging state matrix to extract a main eigenvector, and constructs a power feature space to calculate a power distribution coefficient. Constructing a temperature characteristic matrix based on the temperature data, and calculating a power compensation coefficient in combination with the energy storage capacity; multi-parameter collaborative optimization is carried out through the charging optimization equation set, accurate power balance control is achieved, and the technical problem that in the prior art, a double-gun direct current charging pile is difficult to achieve accurate power balance distribution under the dynamic load condition is solved.

The invention relates to the technical field of high-voltage compensation, and provides a voltage stabilization type electric energy quality comprehensive treatment device. The TBB static reactive power compensation device comprises at least one switching reactance capacitor bank. Wherein the reactance capacitor bank comprises a vacuum contactor; the SVG dynamic reactive power compensation device comprises an SVG compensation device, and the SVG compensation device is electrically connected with a transformer through an isolation switch fuse group. Wherein the transformer is electrically connected with the switched reactance capacitor bank. The disadvantages of a traditional TBB are avoided through the TBB + SVG high-voltage reactive power dynamic hybrid compensation device, and the advantages of the SVG are added; sVG dynamic compensation is high in response speed and can compensate loads with fast reactive power change, and TBB static reactive power compensation is used for compensating stable loads with infrequent reactive power change of the system; fine adjustment can be achieved through combined compensation of the two, compensation precision is high, and the compensation effect is good.

The invention provides a netlike inverter indifference control and PCC point voltage drop optimization system and method, a reactive power error feedback module generates a reactive power compensation amount according to received reactive power reference information and collected reactive power information, and combines proportional integral control to eliminate a steady-state error so as to realize static indifference control of reactive power; the PCC point voltage drop feedforward compensation module dynamically adjusts the output voltage amplitude of the inverter according to the deviation between the theoretical reference voltage and the actual voltage of the PCC point, and directly counteracts the voltage drop caused by the line impedance; the dynamic impedance compensation module dynamically adjusts an integral coefficient of a PI controller according to an impedance parameter of a multi-machine parallel circuit, adapts to different impedance scenes, and ensures reactive power equalization and voltage balance under multi-machine parallel connection; through cooperation of closed-loop feedback and feed-forward compensation, static indifference control is realized, power grid disturbance is resisted, and system reliability is improved.

The invention relates to the technical field of energy storage cooperative control, and discloses an improved energy storage converter grid following control algorithm, which comprises the following steps of: 1, extracting positive sequence and negative sequence components of three-phase voltage of a power grid through a double-sequence decoupling phase-locked loop, and acquiring a positive sequence axis component signal by adopting forward rotation coordinate transformation; and 2, when frequency locking is carried out based on the positive sequence axis component signal, extracting a voltage amplitude corresponding to the positive sequence axis component signal, and inputting the voltage amplitude to a feed-forward passivation module. An active power regulation technical scheme based on a frequency deviation threshold value is adopted, the technical effect of simulating the primary frequency modulation characteristic of a network-forming converter is achieved by detecting the power grid frequency deviation in real time and generating an active power compensation signal, and the defect that traditional network-following control lacks frequency active supporting capacity is overcome. And the converter can spontaneously increase the active power to stabilize the power grid frequency when the power grid frequency drops.

The invention discloses a photovoltaic centralized charging control method and device for a light commercial electric vehicle and a medium, and belongs to the technical field of new energy charging. The method comprises the following steps: acquiring weather data, a vehicle battery charge state and task scheduling data; photovoltaic module parameters and environment data are processed through an LSTM neural network model, and a photovoltaic power generation power prediction curve is generated; constructing a multi-dimensional evaluation index system including task emergency degree, charging efficiency and power grid interaction factors, and generating a charging priority sequence in combination with an entropy weight TOPSIS algorithm; solving a real-time power distribution scheme based on a mixed integer programming algorithm, and dynamically adjusting the output power of the charging pile; monitoring the operation state of the system, and triggering a multi-stage power compensation mechanism when the photovoltaic power is insufficient or the electric quantity is low; and the battery state and the photovoltaic power are updated in real time, and a charging strategy is corrected through a rolling optimization algorithm. By means of the method, centralized charging control over the light commercial electric vehicle is achieved, and the technical effect of meeting the requirements of a motorcade is achieved.

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 discloses an autonomous charging dynamic control system for an inspection robot, and relates to the technical field of inspection robot management, and the system comprises a condition triggering module, a robot sensing module, a task decision module, a dynamic charging control module, a safety monitoring module and a log recording module. When a new inspection task packet is issued to a waiting or charging robot, a condition triggering module starts judgment, and a robot sensing module collects real-time electric quantity, task attributes and a charging pile state and encapsulates data; the task decision module calculates a task emergency degree and constructs a priority, and compares a charging basic priority to trigger a temporary or safe charging strategy; the dynamic charging control module dynamically adjusts charging parameters or calls safety parameters according to the dynamic charging parameters; the safety monitoring module monitors and intervenes in the charging process in real time, the log recording module records key operation and abnormity, and the system can dynamically adapt to task requirements, improves response efficiency and safety and is suitable for complex inspection scenes.

The invention discloses a control system and method based on charging pile V2G, and relates to the technical field of charging pile V2G control, and the method comprises the following steps: firstly, a sensor device obtains the operation state parameters of a power grid in real time, accurately monitors the actual working condition of the power grid through the real-time collection of the operation parameter data, and provides basic data support for the subsequent analysis; based on deep learning and intelligent feedback control, the self-adaptive adjustment of the output voltage and the phase angle of the electric vehicle is realized, the reactive power is accurately compensated, the power grid voltage fluctuation is reduced, and the overall stability is improved. According to the scheme, the response speed of the EV inverter is increased, millisecond-level power grid adaptation is achieved, the V2G cooperative regulation and control capacity is enhanced, dependence on traditional reactive compensation equipment is reduced, and the new energy consumption efficiency is improved. By optimizing a power regulation and control mechanism, deep fusion of the EV as distributed energy storage is promoted, development of smart energy management is promoted, and the economic value and feasibility of the V2G in the power market are improved.

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.