840 results about "Grid voltage" patented technology

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 a self-adaptive filtering method and system for an intelligent electric energy meter, and relates to the technical field of power grid signal processing, and the method comprises the steps: obtaining a power grid voltage and current signal set collected by a target intelligent electric energy meter historically, and obtaining a signal noise spectrum data set and a noise level evaluation result through spectrum analysis and noise level evaluation; if the result exceeds a preset noise threshold value, identifying an interference type and building a noise adaptive filtering multi-channel, integrating and deploying the noise adaptive filtering multi-channel into a target intelligent electric meter to complete signal filtering test and effect evaluation, and dynamically optimizing and generating an electric energy meter adaptive filtering multi-channel based on the obtained multi-channel filtering effect index parameter; and finally, signal filtering closed-loop control is realized. The technical problem that a traditional electric energy meter is weak in filtering pertinence and cannot adapt to dynamic noise of a power grid in electric power related scenes with complex dynamic interference is solved, and the technical effects that the electric variable measurement accuracy of the electric energy meter is improved, and the adaptive capacity of the electric energy meter to different interference scenes is enhanced are achieved.

The invention is suitable for the technical field of power electronics and power transmission, and provides a low voltage ride-through control method and system for a network construction type converter, and the method comprises the steps: carrying out the conventional VSG control according to a VSG control strategy, and continuously monitoring the difference between the voltage of a power grid and a set reference value, so as to judge whether a fault occurs or not; when it is detected that the power grid breaks down, homodyne control is carried out on an active power control ring and a reactive power control ring of the grid-forming type converter so as to fix the phase and the amplitude of the output voltage of the converter; calculating and injecting a positive sequence compensation voltage and a negative sequence compensation voltage according to the drop degree of the power grid voltage; and according to the predicted impact current value, dynamically calculating and inputting adaptive virtual impedance. The power angle and the voltage in the fault period can be ensured to be stable, transient overcurrent is effectively restrained, and large power fluctuation is not caused.

The invention discloses a VSG transient stability control method based on PSS power angle compensation and integral reactive loop cooperation, and the method comprises the steps: constructing an improved rotor motion equation compensation mechanism based on a power system stabilizer, and based on the dynamic parameters of the voltages vabc and pcc at a PCC point and the currents iabc and pcc flowing into the PCC point which are collected in real time, carrying out the compensation of the current iabc and pcc at the PCC point under the condition that the working condition is that the voltage of a power grid drops greatly. The dynamic characteristic of active power is ensured; constructing a PSS parameter optimization method based on zero point position constraint; an integral link is embedded in the traditional voltage-reactive droop characteristic, integral reactive loop control is constructed, and steady-state voltage deviation is eliminated; the output compensation power angle delta and the output voltage amplitude E are cooperatively applied and converted into dq-axis voltage components Ed and Eq, the dq-axis voltage components Ed and Eq are sent to a voltage and current double closed loop, a driving signal is generated through SVPWM, and the stability of the system is enhanced.

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 a cooperative control method and device for a virtual power plant to participate in voltage safety of a power distribution network, and the method comprises the steps: collecting multi-source heterogeneous data, and carrying out the preprocessing of the data, and constructing a key feature set; inputting the key feature set into a trained artificial intelligence prediction model to output a dynamic prediction value; inputting the dynamic predicted value, the real-time operation data of the power distribution network and the available regulation capacity of the virtual power plant into a trained machine learning evaluation model, obtaining the voltage out-of-limit risk probability of each node of the power distribution network, and dividing the voltage safety risk level according to the probability; constructing a comprehensive cost index based on the grade, and solving to generate a cooperative control instruction set by using a reinforcement learning algorithm under the condition that constraints are met; and acquiring an actual operation response after the instruction is executed, and adjusting internal parameters of the model based on a deviation between the actual operation response and an expected target. Based on the method, the invention further provides cooperative control equipment. According to the invention, closed-loop management from data-driven prediction and intelligent risk assessment to collaborative optimization control is realized.

The invention discloses a mode switching method, device and equipment of an energy storage converter and a storage medium, and relates to the technical field of power grid control, and the method comprises the steps: obtaining a multi-mode control grid-connected model of the energy storage converter, and the grid-connected model comprises a grid-following type control model and a grid-constructing type control model; based on the grid-connected model, injecting a high-frequency small signal into a power grid through an energy storage converter, and processing the high-frequency small signal by adopting a discrete Fourier transform algorithm to obtain grid-connected point voltage and current response; obtaining a power grid impedance parameter according to the grid-connected point voltage and current response; calculating an operation short-circuit ratio according to the power grid impedance parameter in combination with the actual output power of the energy storage converter and the power grid voltage amplitude; according to the operation short-circuit ratio and the short-circuit ratio threshold value, mode switching is carried out on the following network type control and the construction network type control, and the method can improve the accuracy of mode switching of the energy storage converter.

The invention provides a primary resonance elimination device of a power distribution network voltage transformer and a management and control method, and relates to the technical field of voltage transformer resonance elimination. The primary resonance elimination device comprises a primary resonance elimination resistor, a primary resonance elimination power electronic device, a standby resonance elimination resistor and a standby resonance elimination power electronic device; the primary resonance elimination resistor and the primary resonance elimination power electronic device are connected in series and then are connected in series between a neutral point of the power distribution network voltage transformer and a ground wire; the standby resonance elimination resistor and the standby resonance elimination power electronic device are connected in series, one end of the standby resonance elimination resistor and the standby resonance elimination power electronic device which are connected in series is connected with a neutral point of the power distribution network voltage transformer, and the other end is grounded; the primary resonance elimination device further comprises a current transformer and a temperature sensor; the temperature sensor is used for monitoring the temperature values of the primary resonance elimination resistor and the standby resonance elimination resistor; the current transformer is assembled on a line where the primary resonance elimination resistor and the standby resonance elimination resistor are grounded together and used for monitoring the value of current flowing through the primary resonance elimination device.

The invention provides a network construction current limiting method, network construction type converter equipment and a new energy system, and relates to the technical field of new energy. The method comprises the following steps: in response to a condition that a power grid signal meets a preset condition, determining that network-forming converter equipment enters a current-limiting mode, and determining virtual impedance of a first stage of the current-limiting mode; determining that the network construction type converter equipment is in a first stage, and controlling the network construction type converter equipment by using the virtual impedance; and determining that the network construction type converter equipment is in a second stage of the current limiting mode, adjusting the virtual impedance according to the power grid signal, and controlling the network construction type converter equipment by using the adjusted virtual impedance. According to the embodiment of the invention, the current limiting mode of the network-forming converter equipment is divided into the first stage and the second stage, and the virtual impedance of the first stage is adjusted in the second stage, so that fault current limitation and power grid voltage support can be considered at the same time.

The invention discloses a self-adaptive current-limiting control method and related device for a network construction type energy storage converter under a symmetric fault of a power grid, and belongs to the technical field of network construction type energy storage converter control, and the method comprises the steps: constructing a corresponding fault current dynamic response model based on the network construction type energy storage converter under the symmetric fault of the power grid; generating a self-adaptive current-limiting control strategy based on the voltage drop depth of the power grid; wherein the self-adaptive current-limiting control strategy comprises the steps of carrying out overcurrent steady-state component suppression based on a phasor current-limiting method and carrying out overcurrent transient-state component suppression based on a virtual impedance control method, and self-adaptively adjusting a power instruction to meet a system support requirement in a current-limiting process; a fault current dynamic response model is solved through a self-adaptive current-limiting control strategy, a current-limiting control scheme is obtained, it can be ensured that the converter maintains the networking characteristic in the fault period, steady-state and transient overcurrent is effectively restrained, output current is strictly limited within a safety threshold value, and transient stability of a system is maintained.

The invention discloses a distributed cooperative voltage control method for a hybrid flexible traction substation group, and aims at solving the problems of output voltage cooperation, no-load circulating current suppression and multi-substation load distribution during networking operation of a plurality of hybrid flexible traction substations (HFTSS). Rapid synchronization of output voltage phases of the substations is achieved by introducing an average consistency algorithm, and nearby distribution of train loads among the traction substations is achieved by combining self-adaptive virtual impedance. According to the method, the capacity of the hybrid flexible traction substation for coping with the dynamic change of the external power grid voltage phase can be effectively enhanced, the loss of a contact network is reduced, the regenerative braking energy utilization efficiency is improved, and a feasible path is provided for large-scale application of a low-cost hybrid flexible traction power supply system and improvement of a cooperative control technology system.

The present disclosure relates to an ion beam etching (IBE) system including a plasma chamber configured to provide plasma, a screen grid, an extraction grid, an accelerator grid, and a decelerator grid. The screen grid receives a screen grid voltage to extract ions from the plasma within the plasma chamber to form an ion beam through a hole. The extraction grid receives an extraction grid voltage, where a voltage difference between the screen grid voltage and the extraction grid voltage determines an ion current density of the ion beam. The accelerator grid receives an accelerator grid voltage. A voltage difference between the extraction grid voltage and the accelerator grid voltage determines an ion beam energy for the ion beam. The IBE system can further includes a deflector system having a first deflector plate and a second deflector plate around a hole to control the direction of the ion beam.

The invention discloses a high-efficiency converter for adjusting the voltage of a power grid, and belongs to the technical field of power electronics. The converter comprises a first voltage regulation circuit, a second voltage regulation circuit, a filter circuit, a detection circuit and a control circuit. By detecting the amplitude difference between the power grid voltage and the load voltage, the control circuit automatically switches the Buck working mode or the Boost working mode, and stable alternating current output in a wide input voltage range is achieved. The invention has the advantages of compact structure, high efficiency, fast response, small harmonic wave and the like, and is suitable for industrial and civil occasions with large-range fluctuation and frequent power grid voltage.

The invention belongs to the technical field of distributed photovoltaic power prediction and power distribution network operation, and discloses a distributed photovoltaic power ultra-short-term prediction method based on multi-source data fusion. The method comprises the following steps: collecting and aligning historical power and electric parameters of a photovoltaic station, meteorological monitoring, short-term and imminent forecasting, voltage of a power distribution network, power flow and states of a voltage regulating device under a unified time dimension; based on a photovoltaic output mechanism model and a linearized power flow sensitivity model or an equivalent electrical distance model, constructing a power constraint interval and a baseline power track which meet voltage and line thermal stability constraints; and through residual normalization, weighted adjacent matrix and space-time recursion prediction model modeling and prediction of a multi-station residual field, parameter increment is updated in combination with a data quality index and an error threshold, and distributed photovoltaic cluster ultra-short-term power prediction giving consideration to power distribution network security constraints and data quality is realized.

The invention relates to the technical field of smart power grids, and discloses a wind-solar-storage coordinated power distribution network partition dynamic voltage control method and system, and the method achieves the precise self-adaptive division of control sub-regions through the dynamic clustering partition based on real-time voltage sensitivity. A double-layer cooperative control framework of'centralized optimization-decentralized execution 'is constructed, and distributed rolling optimization is performed by adopting an alternating direction multiplier method, so that the unification of global coordination and quick local response is realized; a multi-target energy storage optimization configuration model considering wind and light uncertainty is established and is deeply coordinated with an operation control strategy. Therefore, the effects of improving the voltage control precision, the response speed and the robustness of the high-proportion new energy power distribution network are achieved, and meanwhile, the system economy, the power supply reliability and the comprehensive utilization efficiency of wind, light and storage resources are remarkably improved.

The invention discloses a grid-connected inverter control method based on an MAGRNN neural network observer, and aims to solve the problems that a model prediction control method is insufficient in state estimation precision and worsened in control performance under the conditions of model mismatch, parameter offset and power grid voltage distortion. For an LCL type grid-connected inverter, firstly, a prediction model is established based on a state-space equation; secondly, real-time estimation parameters of an inductance parameter state observer are constructed; the method comprises the following steps: firstly, estimating an interference compensation item through a neuron self-adaptive adjustment mechanism, then introducing an MAGRNN neural network as a dynamic error compensator, using input and output of the observer as MAGRNN input, estimating the interference compensation item through the neuron self-adaptive adjustment mechanism, and finally, feeding back the interference item predicted by the MAGRNN to a model prediction controller for interference compensation. By utilizing the strong nonlinear fitting capability of the MAGRNN, the state estimation precision under complex working conditions such as parameter change and power grid disturbance is remarkably improved, and the control performance of the system is effectively improved.

The invention discloses a distributed power supply-based control method, system, equipment and medium, and relates to the technical field of distributed power supply control, and the method comprises the steps: collecting and preprocessing the real-time data of a distributed power supply, training a prediction model to optimize parameters, obtaining a load demand and power generation capability estimation, and adjusting the power based on a prediction result. Distributing active power according to a total load and a power contribution factor; setting a target power factor to calculate reactive power; monitoring voltage and load changes of a power grid in real time; dynamically selecting and adjusting a reactive power control strategy; and visualizing the running state and backing up the data to a database. Through closed-loop cooperation of data prediction, dynamic power control, value-oriented intelligent operation and maintenance and visual management, the stability, electric energy quality, operation and maintenance economy and management efficiency of the distributed power supply system are comprehensively improved.

The invention discloses an electric arc dynamic suppression method for hot plugging of an electric meter connector, relates to the technical field of electric energy metering equipment, and aims to solve the problems of electric arc generation, overproof metering error and the like caused by passive protection and lack of dynamic cooperative control in the prior art. The core of the method is that gap distance and power grid voltage phase signals are acquired in real time through a microcontroller, and the plugging speed, the signal injection and the position fine adjustment are dynamically regulated and controlled in three stages of pre-contact, low-current transition and full connection; and a machine learning model is combined to optimize a parameter threshold value, a redundancy safety mechanism and a multi-phase electric meter cooperative control strategy, so that double management and control of arc peak energy and metering errors are realized. The method can actively inhibit arc generation, avoid connector ablation and insulation deterioration, guarantee metering continuity and accuracy, adapt to complex power grid and environment working conditions, and meet the precision requirement of the intelligent electric meter.

The invention relates to the field of power grid voltage reactive power control, and discloses a three-level collaborative power grid voltage reactive power control architecture and control method.The architecture comprises an edge layer, a region layer and a master station layer, the edge layer is deployed at a key node of a power distribution network, and the region layer is deployed at a key node of the power distribution network; quick sensing and response to voltage fluctuation are realized by adopting thousand-time / second-level sampling and millisecond-level local calculation; the regional layer realizes cross-node reactive collaborative optimization based on a digital twinborn model and a federated learning framework; the master station layer constructs a voltage-reactive sensitivity matrix and dynamically adjusts the control weight of the edge layer. According to the control architecture and the control method, the advantages of centralized and distributed control are considered, the problems of response delay, collaborative conflict and data safety of traditional control are solved, the safety, the stability and the economical efficiency of the power grid in a high-proportion new energy access scene are effectively improved, and the control architecture and the control method are suitable for voltage reactive power control of the power grid in a complex region.

The invention relates to a high-side power NMOS (N-channel Metal Oxide Semiconductor) gate drive circuit in synchronous rectification buck. The high-side power NMOS gate drive circuit comprises a high-voltage storage circuit, a gate charge discharge circuit, a gate voltage control capacitor C2, a level shift circuit and a logic control circuit. The high-voltage storage circuit stores an input voltage VIN on a capacitor C1 and is used for shortening the conduction delay of a high-side power tube MLD1; when the low-side power tube MLD2 is conducted, the gate charge leakage circuit MN1 realizes complete turn-off of the tube MLD1, and prevents the high-side power tube MLD1 and the low-side power tube MLD2 from being conducted at the same time; the grid voltage controls the capacitor C2 to turn on and turn off the MN1 tube under the floating potential. The logic control circuit controls the conduction of the MLD1 and the MLD2 through a first signal SWH and a second signal SWL of the PWM generator, so that the conduction delay is further shortened; the level shift circuit converts a low level into a high level based on VIN so as to prevent the MOS tube from being broken down.

According to the power distribution network flexible networking planning method and system based on closed-loop optimization operation, based on a topological structure of an intelligent soft switch in a power distribution network, the weighted sum of an active power smoothness index and a reactive power supporting capability index is used as a flexible scheduling index; taking the weighted sum of the voltage deviation index and the power balance index as a closed-loop operation optimization index; taking the weighted sum of the flexible scheduling index and the closed-loop operation optimization index as an intelligent soft switch operation optimization target; establishing a target function of a multi-target optimization model based on the investment cost, the comprehensive operation cost and the operation optimization target of the intelligent soft switch in combination with the voltage quality index and the load balancing index of the power distribution network; power distribution network constraint conditions and active power constraints, reactive power constraints and capacity constraints of the intelligent soft switch are used as constraints of the multi-objective optimization model; and solving the multi-objective optimization model to obtain a flexible networking planning scheme of the power distribution network, thereby improving the operation efficiency, economy, safety and flexibility of the power distribution network.

The invention discloses a dispatching method and system based on a distributed diesel generator and a virtual power plant, and relates to the technical field of power systems and energy internet. Comprising the steps that a local control unit establishes an operation constraint model containing a nonlinear fuel efficiency and carbon deposition risk model, and generates a health recommendation domain; the cloud end generates a triple scheduling instruction packet containing reference power, offset bandwidth and weight vectors in combination with power grid constraints; identifying the impedance of a grid-connected point on line at the edge side, and carrying out asymmetric compression correction on the bandwidth based on the voltage sensitivity under a weak grid; and the local unit performs rolling optimization solution under the double constraints of the corrected instruction and the local model, and switches to the anti-carbon deposition autonomous mode containing dummy load input when the communication is interrupted and the carbon deposition risk is high. According to the invention, through cloud-side-end cooperation and hierarchical closed-loop correction, the conflict between the weak network voltage out-of-limit risk and the low-load carbon deposition of the unit is effectively solved, and the safety and the performability of scheduling are improved.

The invention belongs to the technical field of intelligent power grids, and particularly relates to a power distribution network voltage model prediction control method and device, equipment and a medium. The control method comprises the following steps: acquiring a real-time power grid state and a prediction state in an observation scale which takes a current moment as a starting point and has a length of d; the voltage control device is input to a pre-trained SAC-MPC intelligent agent, a control action within an action scale with the length of 1 is output, and the action is a reactive power output instruction assigned to the voltage control device; and issuing and executing the control action of the next time step. According to the training method, a high-fidelity power distribution network operation environment is constructed, and based on an SAC algorithm framework, an intelligent agent is trained through environment interaction, experience playback and cooperative update of an Actor strategy network and Critic evaluation network parameters. Through combination of prospective prediction and real-time decision, the hysteresis problem of a traditional control method is solved, and rapid and smooth control of the voltage is realized.

The invention relates to the technical field of analog and digital-analog hybrid integrated circuits, and discloses a bootstrap sampling switch circuit with a pre-charging function and an analog-to-digital converter. The circuit comprises a sampling switch module and a time sequence control module. The sampling switch module sequentially works at a holding phase, a pre-charging phase and a tracking phase under the control of a multi-phase clock signal generated by the time sequence control module, the pre-charging phase is added before the tracking phase, the grid voltage of a sampling switch is pre-boosted, and the pre-charging time is dynamically controlled by using an adjustable clock circuit, so that the pre-charging time of the sampling switch is dynamically controlled. Therefore, the charge sharing effect caused by the gate parasitic capacitance is effectively suppressed. The analog-to-digital converter comprises the sampling switch circuit. The linearity and the conduction characteristic of the sampling switch are remarkably improved, and the sampling switch has excellent time sequence configurability and is suitable for a high-speed and high-precision analog-to-digital conversion system.

The invention provides a power distribution network voltage quality online evaluation method and system supporting new energy group access, and belongs to the field of power system automation. Comprising the following steps: generating a node dynamic feature vector through multi-source data fusion and feature extraction; constructing a dynamic causal association diagram, and synchronously outputting a voltage quality multi-dimensional evaluation index and disturbance source contribution degree analysis by using a gating space-time diffusion mechanism; and generating graded early warning based on evaluation and traceability results, and generating auxiliary decision-making information of recommended control measures through strategy matching, effect simulation and multi-target optimization. The system comprises a data acquisition and fusion module, a dynamic causal association diagram construction module, a causal time sequence diagram diffusion evaluation module, an endogenous traceability analysis module, a grading early warning and decision auxiliary module and the like. According to the invention, real-time evaluation, accurate traceability and intelligent decision support of the voltage quality problem of the new energy power distribution network are realized.

The invention relates to the technical field of distributed power supply operation control of a power distribution network, and discloses a node voltage distribution control optimization method, a node voltage distribution control optimization system, node voltage distribution control optimization equipment, a node voltage distribution control optimization medium and a node voltage distribution control optimization product of a power distribution area. And taking the voltage distribution of each node in the whole domain as an initial voltage distribution condition of load flow calculation, and performing load flow calculation on the power distribution area under the condition of meeting safety constraints and a load flow equation to obtain optimal active power output and optimal reactive power output under the condition that the deviation between the voltage of each node in the whole domain of the power distribution area and a preset rated voltage is minimized. The power scheduling instruction is generated through the optimal active power output and the optimal reactive power output, and the local controller of each distributed power supply executes the power scheduling instruction, thereby achieving the global optimization of the voltage of the power distribution network through the cooperative adjustment of each distributed power supply, and effectively improving the quality and reliability of electric energy.

The invention discloses a network construction type converter pre-synchronization control method based on Taylor compensation, and the method comprises the steps: collecting the three-phase voltage of an output end of a virtual synchronous generator (VSG) and the three-phase voltage of a power grid side, carrying out the Clark transformation, and extracting a positive sequence voltage component; on the basis of the positive sequence voltage component, calculating a phase difference sine value of the VSG output voltage and the power grid voltage; based on the phase difference sine value, compensating the phase difference sine value through Taylor expansion to obtain a compensated real-time phase difference; and fusing the compensated real-time phase difference into a VSG phase-locked loop-free pre-synchronization control strategy, and driving a PI regulator to dynamically correct the output frequency and phase of the VSG. A phase-locked loop is completely abandoned, and the frequency oscillation risk is eliminated; expanding a phase difference calculation range through third-order Taylor compensation; voltage vector analysis and a dynamic compensation function are fused, phase synchronization is achieved, and grid-connected impact current is reduced.

The invention relates to an improved network construction type energy storage converter control method and system, and the method comprises the following steps: constructing a conventional network construction type control framework containing P-f and Q-U control rings, and obtaining a basic control model; virtual impedance control including a virtual resistor Rv and a virtual inductor Lv is added in a voltage loop, and a primary improved control model is formed; then virtual capacitive reactance control of a virtual capacitor Cv is added in a current loop, and a final improved control model is obtained; and finally, controlling the converter through the model to realize stable support of the voltage and frequency of the power grid. Through cooperative improvement of voltage loop virtual impedance and current loop virtual capacitive reactance, the method and system can effectively improve the stability and robustness of the converter in a weak power grid environment, enhance the power grid supporting capability, solve the problem of easy instability caused by multi-loop coupling in traditional control, enable the converter to be closer to the external characteristics of a traditional synchronous generator, and improve the stability of the converter in a weak power grid environment. And the requirements of a new energy high-permeability power system are met.

The invention relates to the technical field of intelligent charging equipment control, and provides an intelligent charging pile based on dynamic fault diagnosis and a control method thereof. According to the method, parameter information is collected in real time through a built-in sensor A preset fault type is acquired, a fault prediction model is established by using a machine learning algorithm, the fault prediction model is used for identifying and classifying preset abnormal states based on the parameter information, and the abnormal states at least comprise overvoltage, undervoltage, overcurrent, electric leakage and relay adhesion; obtaining fault root cause information according to the identification and classification result of the abnormal state, and generating a stage processing scheme corresponding to the fault root cause information; when the intelligent charging pile is used for charging, the vehicle model and the battery parameters are analyzed through a charging interface communication protocol, the corresponding optimal charging current is obtained, and the charging curve is dynamically adjusted according to the optimal charging current, the real-time power grid voltage fluctuation and the grading processing scheme. Millimeter-level precision monitoring of the plug insertion state is achieved, and the charging safety level of the charging pile is improved.

The invention discloses a power grid transient voltage stability control method based on power grid partition classification dynamic reactive power reserve and a medium, and relates to a power system safety and stability evaluation and transient voltage control method. The method comprises the following steps: dividing power grid partitions based on acquired power grid voltage fault data, and calculating peak faults of the power grid partitions; according to the transient voltage severity index under the peak fault, recording the minimum demand adjusted to the transient voltage stable state limit value; calculating the maximum effective quantity of the dynamic reactive power reserve according to the minimum demand quantity, and comparing the maximum effective quantity with the minimum demand quantity to evaluate the transient voltage state of the system; and outputting a power grid partition dynamic regulation instruction to control a system operation point regulation state through the coordinated optimization control model based on the dynamic reactive power reserve minimum demand quantity. According to the method, the minimum demand quantity of the dynamic reactive power reserve is taken as a transient voltage stability constraint, a partition classification dynamic reactive power reserve coordinated optimization control model for improving transient voltage stability is constructed, and the transient voltage stability of a power grid is improved.