4734 results about "Voltage regulation" patented technology

Electric heat for generating smoke from tobacco or the like in a hookah type smoking pipe. Electric heat is obtained from an electrically powered heating element which may be placed proximate the tobacco. The heating element may be contained within a housing which in turn may be placed above the smoking chamber of the hookah. The housing may have adjustably damped holes disposed to pass air over the heating element. Electrical circuitry serving the heating element may comprise a step down transformer and a voltage adjusting switch. The heating element may be integral with the hookah, may take the form of a separate component which is mountable over the smoking chamber of the hookah, or may comprise a free standing assembly which may be placed to stand adjacent to the hookah.

The invention belongs to the technical field of power distribution network voltage regulation and control, and discloses a distributed photovoltaic complex power prediction-cluster-cooperation-based power distribution network voltage regulation and control method, which integrates photovoltaic historical data, inputs an improved back propagation neural network model and outputs predicted photovoltaic active power output. Estimating the reactive capacity boundary of each node in real time based on the running state of the network-following inverter; dividing a distributed photovoltaic cluster by establishing a two-dimensional modularity function of a net load index and an equivalent electrical distance; a multi-device differential cooperative control strategy is provided for the voltage out-of-limit risk in the cluster; and constructing an optimization function with minimum network loss and voltage offset as a target, and optimizing and solving the function by using an improved multi-organization particle swarm optimization algorithm to obtain a multi-device adjustment sequence and a device action amount. According to the method, the renewable energy consumption capacity is improved and the network loss is reduced while the voltage stability of the power distribution network is ensured, and the comprehensive adjustment cost is optimized.

The invention relates to a V2G-based alternating current charging power adjusting method and device. The method comprises the following steps: carrying out multi-scale data acquisition and preprocessing on a V2G alternating current charging system to obtain a standardized system state data set; constructing a system dynamic model comprising a power grid voltage characteristic and a charging power characteristic; carrying out decomposition to obtain a power output mapping relation calculation, and obtaining a power modulation control parameter; establishing a fast and slow time scale coordination control framework, and designing a power regulation agent and a voltage regulation agent to obtain a coordination control strategy; checking a charging power limit value constraint, a voltage limit value constraint and a power factor constraint to obtain a constraint violation judgment result, and executing constraint projection calculation to obtain a target control instruction; and controlling a power conversion circuit of the charging pile to execute power regulation operation. According to the invention, a hierarchical control structure is adopted, the control complexity of the system is reduced, and the robustness and the adaptive ability of the control strategy are improved.

Disclosed in the present invention are a voltage control method and system for clusters of a power distribution network having a high proportion of photovoltaics. The method comprises: acquiring parameters of a power distribution network, and constructing a comprehensive electrical distance by means of adjustable active power and reactive power reserves of each node in the parameters of the power distribution network; forming an improved weight matrix by means of distributed photovoltaic reactive power and active power supporting capacities, a reactive power sensitivity matrix and an active power sensitivity matrix, and obtaining an optimal reactive power cluster and active power cluster division result by a community algorithm by means of a node coupling degree index in each cluster and the comprehensive electrical distance; and selecting, by means of a clustering algorithm on the basis of the division result, a key node in each cluster to act, to improve the cluster voltage regulation and control capability. Starting from the relationship between active power sensitivity and reactive power sensitivity, and considering the impact of different changes on other nodes, efficient utilization of the reactive power regulation capability of a grid-connected PV inverter can be achieved, the complexity of control strategy computation is greatly reduced, and the situation where there are too many adjustable distributed photovoltaics in clusters is avoided.

The embodiment of the invention provides a power distribution network multi-zone-area collaborative optimization regulation and control method and device adapting to topological changes. The method comprises the steps of performing cluster division on a power distribution network; constructing an optimization model according to a cluster division result; respectively constructing a dynamic grouping Markov decision model of each transformer area by taking each transformer area as an intelligent agent; solving the dynamic grouping Markov decision model based on the optimization model to obtain a corresponding power distribution network multi-transformer-area collaborative optimization regulation and control strategy, and regulating and controlling the power distribution network according to the regulation and control strategy; according to the method, dynamic cluster division and distributed autonomous optimization can be combined, and the SLM algorithm is adopted to enhance the station area coordination capability and reduce the cross-cluster power flow influence; according to the invention, the feature extraction network is introduced to adapt to topological change, and the generation of the regulation strategy is optimized; communication dependence is reduced through centralized training and decentralized execution, and efficient voltage regulation and control in a low-perceptibility scene are achieved in a large-scale power distribution network complex environment.

The invention discloses an energy storage power station state evaluation method and system based on real-time demand analysis, and relates to the technical field of power station state evaluation, and the method comprises the steps: obtaining the real-time operation data of an energy storage power station; the real-time operation data comprises voltage data, current data, temperature data and power data; based on the real-time operation data, establishing an energy storage power station real-time evaluation index system under the demand of a power grid system; and based on the energy storage power station real-time evaluation index system, establishing an energy storage power station performance comprehensive evaluation model, and performing energy storage power station state evaluation according to the energy storage power station performance comprehensive evaluation model. According to the method, operation data are acquired from multiple dimensions of a PCS converter, a battery body and a PCC point, a systematic evaluation index system of four requirements of power grid frequency modulation, peak regulation, voltage regulation and power oscillation suppression is combined, and an evaluation method of combining dynamic fuzzy comprehensive evaluation and adaptive weight dynamic adjustment is adopted; and comprehensive and accurate evaluation of the state of the energy storage power station is realized.

The invention relates to the field of power distribution networks, in particular to a power distribution network voltage collaborative autonomous method and system based on dynamic partition. The method comprises the following steps: acquiring electrical measurement data and network topology parameters of distributed nodes of a power distribution network, and generating a characteristic state set representing the operation state of a system; performing dynamic subarea division based on node voltage coupling strength and power balance constraint to obtain a dynamic subarea set with an autonomous boundary; each partition control main body independently solves a voltage regulation objective function of the partition according to an autonomous boundary, and generates a partition autonomous control strategy; and boundary interactive iterative coordination is carried out between adjacent partitions, and a global optimal voltage cooperative control instruction is generated and executed. According to the method, the problems that partition division is not matched with the operation state, and partition collaboration is insufficient are solved, unification of partition autonomy and global optimization is achieved, and the real-time performance and accuracy of voltage regulation and control of the power distribution network are remarkably improved.

The invention discloses a power distribution network voltage control method based on distributed photovoltaic active-reactive cooperation, and the method comprises the steps: analyzing the influence of reactive / active injection on voltage stability through building a sensitivity matrix, deducing a critical control gain constraint condition, and guaranteeing the static stability of the voltage of a power distribution network; a photovoltaic inverter active / reactive cooperative control general model suitable for different scenes is constructed based on an intra-day scheduling and real-time control two-stage framework, and control curve parameters of each node photovoltaic inverter are optimized by taking minimization of network loss cost, active reduction cost, inverter voltage regulation cost and voltage deviation as targets in the intra-day scheduling stage; in the real-time control stage, active power reduction and reactive power regulation are dynamically coordinated based on an optimal control curve, reactive power margin is preferentially utilized to suppress voltage rise, and power flow distribution is directly regulated through active power reduction when reactive power capacity is saturated. According to the method, the safety and economy of the power grid are considered, and theoretical support and a practical solution are provided for voltage control of the high-permeability photovoltaic power distribution network.

The invention discloses a reconfigurable intelligent metasurface beam tracking device, and belongs to the technical field of wireless communication. Specifically, the reconfigurable intelligent metasurface module integrates a large number of metasurface units, a tunable element is embedded to achieve reconfiguration of electromagnetic characteristics, a receiving end of the communication receiving and transmitting module receives reflected signals of the metasurfaces and feeds back the quality of the received signals in the moving process, and the positioning sensing module senses the position of the receiving end in real time. And the codebook calculation module calculates a phase regulation codebook based on the signal quality and the position feedback information, converts the phase regulation codebook into a control voltage value, transmits a corresponding digital control signal to the voltage regulation module, and outputs multiple paths of analog voltages, so that the reflection coefficient of the metasurface array is regulated and controlled, and real-time dynamic wave beam tracking is realized. According to the invention, the coverage range, the transmission rate and the service quality of the communication network are obviously improved.

The invention provides an intelligent management method and system for photovoltaic energy storage equipment, and the method comprises the steps: analyzing the power fluctuation trend through monitoring the output power and environment parameters of the photovoltaic energy storage equipment in real time, and pre-judging the power fluctuation characteristics; according to the operation state parameters of the supercapacitor and the vanadium redox flow battery and the power fluctuation pre-judgment result, the power distribution proportion and the cooperative working mode of the energy storage element are determined; based on industrial load demand characteristics, an energy storage element is controlled to be flexibly switched between an active adjustment mode and a reactive compensation mode; and voltage regulation and harmonic compensation are realized by monitoring electric energy quality indexes of parallel connection points. According to the invention, the rapid response capability of the photovoltaic energy storage system to the industrial load can be effectively improved, the power supply stability and the electric energy quality are remarkably improved, the system power fluctuation is reduced, the utilization efficiency of the energy storage equipment is improved, and reliable clean energy support is provided for industrial users.

The invention relates to a dual three-phase permanent magnet synchronous generator rectification system and a direct current voltage stabilization control method thereof. Comprising a dual three-phase permanent magnet synchronous generator, a VSD decoupling converter, a load current observer, a dynamic load feed-forward compensator, a voltage closed-loop controller, a dead-beat predictive current controller, a maximum four-vector SVPWM modulation module and a six-phase rectifier. The double-three-phase topological structure adopted by the invention has the advantages of multiple control degrees of freedom, high reliability and the like. A dynamic load feed-forward compensator is constructed to perform dynamic feed-forward compensation on quadrature-axis current of the motor, so that the recovery time of bus voltage is shortened, and the voltage fluctuation amplitude is reduced; the designed dead-beat predictive current controller optimizes the dynamic characteristics of a current loop, improves the torque tracking performance of the motor, and further improves the voltage stabilization regulation capability of the system. The designed load current observer realizes the analysis redundancy of current detection and improves the reliability of the system.

The invention relates to the technical field of industrial process intelligent monitoring, and provides a digital twinning-based gas pressure regulation self-regulation intelligent monitoring system, which comprises a data acquisition unit, a digital twinning unit and an execution and feedback unit. The data acquisition unit acquires operation data of the gas pressure regulating equipment in real time, and the operation data are preprocessed and then transmitted to the digital twinning unit. The digital twinning unit constructs a physical mechanism sub-model based on the geometric topology and heat flow coupling characteristics of the gas pressure regulating equipment, and loads a data driving sub-model to form a mixed digital twinning model; and in combination with real-time data mapping and a disturbance-safety boundary condition set, executing predictive iterative simulation to generate a plurality of groups of voltage regulation schemes, and screening an optimal scheme. And the execution and feedback unit converts the scheme into a standardized control instruction to drive pressure regulating equipment and return operation data to realize closed-loop optimization, so that real-time monitoring, high-precision prediction and self-adaptive regulation and control of the gas pressure regulating process are realized under complex working conditions, and the safety, the stability and the energy utilization efficiency are improved.

Provided in the present invention is a transformerless unified power quality conditioner, comprising a three-phase conditioner substructure, wherein each phase of the conditioner substructure can comprise an ANPC three-level converter and an output half-bridge module connected to the ANPC three-level converter. Also provided are a corresponding modulation method and system and a corresponding control method and system. Compared with existing voltage regulation apparatuses, the transformerless unified power quality conditioner and the modulation method and control method therefor provided in the present invention do not include a power-frequency transformer in the topology, but use a three-level converter to expand ports to realize voltage regulation, thus having the advantages of lower costs, smaller size, smaller footprint, lower loss, etc.

The invention relates to the technical field of voltage control, in particular to a time-delay-containing uncertain AC / DC micro-grid DC bus voltage control method, which comprises the following steps: acquiring load change and DC bus voltage fluctuation data, calculating a load current change rate, analyzing the correlation between voltage fluctuation and load change, and performing voltage adjustment. And time delay characteristics in a load state are identified, voltage fluctuation uncertainty factors are identified, and the time delay compensation amount is adjusted to restore the voltage stability. According to the invention, by adopting linear and nonlinear time-delay compensation strategies, the problem of accuracy of time-delay compensation under different load conditions is effectively solved, various load fluctuations and voltage changes can be dynamically adapted, the problem of uncertainty of voltage fluctuations is solved, and the prediction of voltage fluctuations is optimized by dynamically adjusting the weight of uncertainty factors. The over-reaction to sudden voltage change is reduced, the voltage stability is improved, and the operation stability and the voltage regulation precision of the micro-grid are remarkably improved.

The invention discloses a power supply grid power transformation voltage regulation control system based on artificial intelligence, which relates to the field of power transformation voltage regulation systems and comprises a multi-source data acquisition module, an edge calculation processing module, an intelligent decision-making module, a self-adaptive execution module, a three-dimensional visualization module, an environment compensation module and a fault diagnosis module. High-precision multi-type sensors are adopted for multi-source data acquisition for high-speed sampling, a multi-core heterogeneous FPGA acceleration processor is adopted for edge calculation processing, intelligent decision-making multi-target optimization is adopted, rapid high-precision equipment is adaptively executed and controlled, three-dimensional visualization holographic projection and virtual inspection are performed, and environment compensation is performed to obtain parameters to correct equipment temperature rise. The fault diagnosis reasones the fault type through rules and a neural network. The power transformation voltage regulation performance of the power grid is remarkably improved, data processing and response are faster, active loss is reduced, and the voltage qualification rate is improved; fault diagnosis is accurate, reliability is high, and power failure accidents are reduced; operation and training are more efficient, the operation and maintenance cost is reduced, the new energy consumption rate is improved, and construction of a novel power system is powerfully supported.

The invention provides a power distribution network multi-time scale voltage regulation and control method adapting to topological changes, and aims to solve many problems of traditional power distribution network voltage regulation and control. According to the method, firstly, key parameters of the power distribution network are monitored in real time, topological changes are recognized through a clustering analysis algorithm, and a node-branch model based on the graph theory is dynamically updated; secondly, designing long-time and short-time scale strategies, adjusting equipment based on load prediction and a power generation plan for a long time, and rapidly adjusting load and distributed power supply changes for a short time; and then sensitivity analysis is carried out, and a regulation and control strategy is optimized according to the influence weight of the equipment on the voltage. A distributed cooperative control framework is constructed, and a regional controller coordinates a photovoltaic inverter and an energy storage device according to a selected protocol and mechanism. Finally, deviation is calculated through real-time data collection, and a control strategy is adjusted in a self-adaptive mode. The method effectively deals with topological changes, integrates the advantages of multiple strategies, improves the voltage regulation and control precision, enhances the power supply reliability of the power distribution network and the distributed energy consumption capability, and guarantees the stable operation of the power grid.

The present invention relates to the technical field of power distribution networks. Disclosed are a multi-energy storage power distribution network voltage regulation method and apparatus, and a device. The method comprises: establishing a voltage optimization model for a power distribution network, converting an energy storage constraint in the voltage optimization model of the power distribution network on the basis of physical information of an energy storage system, establishing a security model of the energy storage system, forming a training guide model of the energy storage system on the basis of a Markov decision model, training each energy storage system by using a TD3 algorithm, sharing network parameters obtained through training between different energy storage systems, and adjusting the voltage of the power distribution network. By means of optimizing an operation strategy of an energy storage system, the present invention realizes efficient and sustainable operation of the energy storage system. A charging and discharging strategy of the energy storage system is optimized by means of a DRL algorithm having shared parameters, improving voltage stability of the power distribution network, reducing energy loss, improving the overall efficiency of the system, enhancing the collaboration performance of multiple energy storage systems, and optimizing control of the energy storage system in an active power distribution network.

The invention belongs to the technical field of power supply management, and particularly relates to a high-precision DCDC power supply voltage stabilization calibration system and method, which comprises a DCDC power conversion module, a traditional feedback control module, a high-frequency ripple sampling and digitization module, a dynamic load prediction module, a feedforward compensation generation module and a calibration management module, through high-frequency ripple sampling and digital output of ripple signals, real-time spectrum analysis is carried out to predict load transient changes, prospective compensation signals are generated, and traditional feedback control is combined to finely adjust PWM signals of the DCDC module. According to the scheme, feedback lag is overcome, transient overshoot / undershoot of voltage is remarkably restrained, the dynamic voltage stabilization error is controlled within + / -0.3%, and high-precision voltage stabilization under both static and dynamic working conditions is achieved.

The invention relates to the technical field of virtual power plant scheduling, and provides a virtual power plant multi-target optimization scheduling method and system fusing deep reinforcement learning, and the method comprises the steps: calculating the voltage sensitivity parameter of each power grid node in an access region of a virtual power plant through obtaining the short-circuit capacity data and real-time impedance spectroscopy measurement data of a grid-connected point of the virtual power plant; positioning a weak line section associated with the power grid node; according to the voltage sensitivity parameter and the information of the weak line section, a reactive power resource dynamic allocation strategy is generated, multi-target optimization scheduling of the virtual power plant is achieved, and the deep reinforcement learning agent aims at maximizing the voltage regulation compensation income and minimizing the equipment regulation loss; according to the method, rapid collaborative optimization scheduling of the virtual power plant in a complex power grid environment is realized, the problem of multi-target coordination caused by model mismatch, response lag and distributed resource dispersity in a traditional method is solved, and real-time response and adaptive adjustment are realized.

The invention discloses a low-output-ripple automatic-current-sharing interleaving buck converter and a control method thereof.The converter comprises a main power circuit and an auxiliary compensation circuit, and the main power circuit adopts two interleaving main branches to achieve voltage conversion and energy transmission; automatic current sharing of the circuit is realized through the integrated network switch module and PWM signal control; the auxiliary compensation circuit adopts a current mirror image compensation principle, and adjusts the magnitude of the compensation current by comparing the difference between the output current of the main power circuit and the reference current, so as to effectively suppress the output current ripple; the control method comprises the steps of output voltage monitoring, PI adjustment, duty ratio modulation and a complementary control mechanism, current ripple phase offset is ensured, and the system stability and efficiency are improved. Compared with the prior art, the method has the advantages that the complexity of a control system is reduced, the working efficiency is improved, the current ripples are effectively eliminated, and the method has relatively high practical value and popularization prospect.

The invention relates to the technical field of liquid crystal display driving control, and discloses a high-refresh-rate liquid crystal display driving method and system, and the method comprises the steps: a motion amount detection module calculates the motion intensity of a dynamic region through inter-frame comparison; the voltage excitation adjusting module applies voltage according to dynamic / static region differentiation, and the dynamic region adopts asymmetric voltage to increase the response speed; the gray scale adjustment module dynamically optimizes the voltage amplitude based on the local contrast so as to smooth the gray scale; the self-adaptive refresh rate module fuses the motion intensity and the image type to switch a refresh rate gear; and the charge balance management module intelligently triggers regional reverse voltage pulses in a static scene to eliminate ghosting. The system eliminates ghost shadows through multi-module cooperation and dynamic charge balance management, intelligently switches refresh rate gears based on motion intensity and cooperates with voltage regulation to reduce static power consumption, adopts regional gray scale compensation to optimize detail display, and combines asymmetric high-voltage driving to improve the response speed of liquid crystal molecules.

A low voltage ride through control method for a grid-forming inverter based on dynamic internal potential adjustment comprises the following steps: detecting a voltage per unit value of a grid-connected point in real time, and comparing the voltage per unit value with a threshold value to judge a voltage drop event and trigger low voltage ride through control; dynamically calculating active and reactive power reference values through a reactive compensation equation and an active current limiting equation according to the voltage amplitude and the power reference value before falling during the ride-through period; inputting the active reference value into a virtual rotor motion equation to generate a reference phase, and outputting a phase reference signal in combination with a dual-mode phase compensation controller; superposing the reactive reference value with the reference voltage through a reactive voltage regulating ring to generate a voltage amplitude reference signal; synthesizing an internal potential according to the phase and the amplitude reference signal, and obtaining an inductive current reference value through virtual impedance control and current amplitude limiting; and finally, a driving signal is generated through the current inner loop controller and the modulation module. According to the invention, overcurrent can be effectively inhibited, rapid reactive power support is provided, and synchronous stability and smooth transition in a fault period and a recovery process are ensured.

The invention discloses a new energy voltage ride-through parameter optimization method considering polymorphic voltage stability constraint, a storage medium and equipment, and belongs to the technical field of power system safety and stability improvement. In order to solve the problem that an existing new energy voltage ride-through parameter optimization method is only suitable for a single fault scene and only aims at a voltage stable form to optimize a new energy voltage ride-through parameter, the invention provides a new energy voltage ride-through parameter optimization method. Based on the dynamic characteristics of the new energy during the power grid fault period, the new energy general control model is established so as to determine the dominant control parameters influencing the dynamic characteristics of the new energy during the high / low voltage penetration period, the influence of the dominant control parameters on the voltage stability under different faults is considered, and the voltage regulation capability and the power regulation cost of the new energy are considered. A new energy voltage ride-through parameter optimization model considering polymorphic voltage stability constraints is established, and the optimization model is solved by adopting a particle swarm optimization algorithm. The method is used for voltage ride-through parameter optimization of new energy.

A linear voltage regulator includes a converter circuit that provides a serial bitstream having a pulse density that is indicative of a difference between a regulated voltage of the linear voltage regulator and a reference voltage. The linear voltage regulator also includes a digital to analog converter circuit that includes an input to receive the serial bitstream. The digital to analog converter circuit includes an averager circuit that produces an output signal to control a voltage of a control terminal of a power transistor of the linear voltage regulator for regulating the regulated voltage based on the pulse density of the serial bitstream.

The invention relates to the technical field of distributed energy voltage regulation, and discloses a distributed energy cluster voltage regulation control method, system and device, and the method comprises the steps: obtaining all distributed energy nodes in a power distribution network; performing group division on all the distributed energy nodes based on the sensitivity of the voltage of the distributed energy nodes to power change in combination with a K-means clustering algorithm to form a plurality of clusters; respectively establishing an adjustment control model for each cluster, wherein the adjustment control model comprises an objective function taking reduction of power fluctuation and voltage deviation as an optimization objective and a constraint condition taking safe operation of the power distribution network as a premise; and solving the regulation control model corresponding to each cluster through an improved particle swarm algorithm, thereby obtaining a control strategy for voltage regulation of each distributed energy node in each cluster. Quantitative evaluation indexes are established to evaluate the node voltage stability, a method for improving calculation precision is combined, power grid changes are quickly responded, and the voltage is accurately adjusted.

The invention relates to the technical field of on-load voltage regulation, in particular to a transformer on-load voltage regulation control method. According to the technical scheme, the transformer on-load voltage regulation control method comprises the following steps that S1, a transformer cluster running in parallel is decomposed into distributed intelligent nodes, and each node executes local voltage prediction and constraint condition management; s2, adopting a distributed model prediction control framework, and cooperatively solving a voltage regulation optimization target through an edge calculation unit; s3, a harmonic disturbance signal with a preset amplitude is injected into the transformer, equivalent impedance is dynamically identified based on response data, and virtual impedance compensation is triggered; and S4, establishing a hierarchical cooperative control architecture, and realizing clock synchronization, dynamic weight distribution and multi-objective optimization decision among nodes. Through a cooperative mechanism of distributed predictive control and dynamic impedance compensation, the response speed and the regulation precision of the on-load voltage regulation system to the power grid voltage fluctuation are remarkably improved, and the voltage out-of-limit problem under the complex working conditions of new energy grid connection, load sudden change and the like is effectively solved.

The invention relates to a medium-voltage expansion ice melting device and an ice melting expansion system. The medium-voltage expansion ice melting device comprises an ice melting transformer and a reactive compensation unit, the primary side of the ice-melting transformer is electrically connected with the power supply end of the medium-voltage power supply, and the secondary side of the ice-melting transformer and the input end of the reactive compensation unit are electrically connected with the ice-melting output end; wherein the ice melting transformer is a double-winding ice melting transformer of which the primary side is subjected to on-load voltage regulation and the secondary side is subjected to no-load gear regulation, and the medium-voltage power supply comprises a medium-voltage emergency power supply vehicle or a power grid; the deicing transformer is used for adjusting the alternating current of the medium-voltage power supply into the adjustable alternating current of the line section to be deiced, and the reactive compensation unit is used for regulating and controlling the reactive compensation current and the reactive compensation power. According to the technical scheme of the invention, the medium-voltage emergency generator car can be fully utilized to quickly expand the ice melting function of the medium-voltage emergency generator car, and meanwhile, the ice melting technical equipment of power grid power supply can be considered, and the economy of distribution network ice melting is improved.

The invention discloses a power grid voltage fluctuation suppression method and system based on dynamic voltage regulation, and the method comprises the steps: synchronously collecting a three-phase voltage signal through a sensor array, generating a multi-dimensional feature vector through Park transformation, and extracting a time-frequency joint feature through a mixed multi-scale decomposition algorithm, and inputting a model fusing fuzzy reasoning and a space-time diagram neural network, generating a cooperative adjustment strategy in combination with power grid topology and equipment constraints, and optimizing model parameters through a closed-loop correction mechanism driven by a dynamic forgetting factor. The system comprises a signal acquisition module, a characteristic decomposition module, an intelligent decision module and a closed loop correction module. According to the method, high-precision suppression of power grid voltage fluctuation is realized, the multi-node cooperative adjustment capability is improved, the method can be adaptive to power grid operation state changes, technical feasibility and economic rationality are considered, and an effective scheme is provided for modern power grid voltage stable control.

The invention relates to the technical field of distributed photovoltaic cluster voltage regulation and control, in particular to a distributed photovoltaic cluster voltage regulation and control method considering net load balancing. According to the method, multi-parameter monitoring equipment is installed at each node to collect data, the net load power is calculated, the space-time distribution characteristics of the net load power are analyzed, key nodes are determined, and a voltage threshold value is set. A comprehensive objective function is constructed by taking voltage stabilization and net load balancing as objectives, a multi-objective optimization model is established, a particle swarm optimization algorithm is adopted for solving, and a result is converted into an inverter regulation and control instruction. And the inverter executes the instruction and feeds back the instruction, the regulation and control effect is evaluated according to the feedback, and closed-loop control is realized. According to the method, the voltage stability of a power supply system is effectively improved, net load balancing is realized, the operation efficiency and reliability of a power system are improved, and technical support is provided for efficient application of a distributed photovoltaic cluster in a power distribution network.

The invention relates to the technical field of photovoltaic inverter regulation and control, in particular to a photovoltaic inverter intelligent regulation and control method and system based on the Internet of Things, and the method comprises the following steps: setting a time window based on an illumination prediction value of a photovoltaic inverter and a real-time voltage measurement value of a grid-connected point, and carrying out the serialized calculation of the voltage in the window, and establishing an out-of-limit risk early warning. According to the invention, the time window is set based on the illumination prediction value and the grid-connected point voltage measurement value, serialized calculation is carried out on the voltage in the window, and point-by-point comparison with the voltage threshold is carried out, so that an out-of-limit risk time point can be identified in advance, and the pre-warning capability of local voltage abnormity is improved. On the basis, a voltage out-of-limit amplitude value is extracted by combining indoor and outdoor temperature information of a building and is converted into a voltage regulation requirement, and a quantifiable voltage consumption index is further formed, so that power load regulation is changed from traditional static setting to dynamic quantifiable regulation, and the accuracy of regulation response is effectively improved.