3430results about "Reactive power compensation" patented technology

The present application provides a multi-level coordinated voltage control method and system for a power distribution network based on three-tier priority objectives. The method comprises: acquiring operation parameters of a power distribution network; on the basis of the operation parameters of the power distribution network and a pre-constructed three-tier optimization objective planning model, using an affine theory, a duality theory, and power circle linearization and absolute value linearization methods to solve the three-tier optimization objective planning model to obtain maximization of an admissible net-load disturbance domain at each node, minimization of the total operation cost of the power distribution network and minimization of an expected voltage deviation; and performing coordinated control on various reactive devices of the power distribution network by means of the operation parameters of the power distribution network corresponding to the maximization of the admissible net-load disturbance domain at each node, the minimization of the total operation cost of the power distribution network and the minimization of the expected voltage deviation. The present application can more clearly characterize the uncertainty of distributed generation power output and the impact of the distributed generation power output on system reserve capacity, and mitigate the problems of ambiguous characterization of distributed generation power output characteristics, and multi-level voltage violation and voltage fluctuation of the power distribution network caused by large-scale distributed generation integration.

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 discloses a power supply real-time compensation technology and application based on digital signal processing, and relates to the technical field of power electronics, and the power supply real-time compensation technology comprises a split-phase parallel processing architecture: a three-phase independently configured DSP core, each core integration comprises a real-time harmonic detection module, a dynamic sliding window FFT-RT algorithm is adopted, and the window length is adjustable in a set range; the bandwidth of the self-adaptive variable parameter filter can be dynamically adjusted in a set range; the FPGA coprocessor is specially used for PWM generation; an input stage of the harmonic prediction and decomposition module is synchronously acquired by a multi-source sensor; the processing layer comprises an improved VMD decomposition unit and a variational mode decomposition order; the edge prediction network is used for deploying a lightweight LSTM model, embedding a DSP core and predicting a harmonic spectrum in a future short period; and the multi-target dynamic optimization layer is used for setting a dynamic weight distributor and performing real-time adjustment according to the load sudden change rate. According to the invention, through split-phase parallel architecture, harmonic prediction and dynamic optimization, the response speed, multi-target cooperation and reliability improvement in the field of power supply real-time compensation are realized.

The invention discloses a game reinforcement learning-based reactive power dispatching method for an electric vehicle to participate in a power distribution network, and the method comprises the steps: collecting node voltage, line current, electric vehicle charging and discharging states and topological information, and constructing graph attention embedding; generating an initial reactive power regulation action in the multi-agent game reinforcement learning framework, and shaping and updating a strategy gradient through double rewards; the improved particle swarm is initialized according to the updating strategy gradient, and a self-adaptive inertia coefficient is set; iteratively searching according to the node voltage sensitivity, the line reactive margin and the expected convergence step number to obtain an optimized particle swarm; the particle speed is mapped to a main strategy network through online cooperative training, the inertia coefficient is synchronously adjusted, a cooperative optimization strategy is output, a reactive power dispatching instruction is generated, and the algorithm is updated in a closed-loop mode according to real-time feedback. According to the invention, rapid and cooperative reactive dynamic scheduling of an electric vehicle group is realized, and the voltage stability and the electric energy quality are remarkably 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 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 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 present application relates to an energy-storage power-conversion series compensation system and a stability analysis method therefor, a damping controller, and an energy storage system, wherein a voltage signal on a capacitor arranged between an energy storage battery pack and a converter of the energy-storage power-conversion series compensation system can be collected, and whether an activation condition is met is determined based on the voltage signal; when the activation condition is met, an adaptive adjustment filter is activated to bring the damping controller into operation within the energy-storage power-conversion series compensation system. A voltage synchronization controller determines, on the basis of a sub-synchronous frequency band voltage signal output by the adaptive adjustment filter and an initial voltage signal, a required output phase angle signal corresponding to a pulse width modulation signal for controlling operation of the converter.

The invention relates to the technical field of power distribution station control, in particular to a reactive power optimization control system of a power distribution station. Comprising a power distribution station data acquisition module, a reactive prediction module, an optimization decision module, a distributed cooperative control module and a monitoring interaction module. The power distribution station data acquisition module acquires parameters such as voltage and current and guarantees data integrity; the reactive power prediction module performs modeling based on a graph neural network and generates a prediction report; the optimization decision module adopts a differential evolution algorithm to generate an optimal compensation scheme; the distributed cooperative control module realizes cooperation between devices through fractional calculus; and the monitoring interaction module realizes equipment diagnosis, aging prediction and dynamic feedback. Through an advanced algorithm and a cooperative control technology, high efficiency, reliability and intelligence of reactive power optimization control of the power distribution station are realized, and the operation efficiency and reliability of the power distribution station are improved.

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 discloses a parallel reactor parameter optimization method of a mixed iron core cake structure and a reactor, and relates to the technical field of reactors. Comprising the following steps that an optimization target and optimization variables are determined, and the optimization variables comprise the non-oriented silicon steel sheet proportion, the iron core diameter, the iron yoke height, the air gap height and the air gap number; after electromagnetic characteristic parameters are obtained, a finite element simulation model is established based on the parameters and optimization variables, and simulation values under different variable combinations are analyzed. A sensitivity index is generated through a sensitivity analysis method, the correlation degree of an optimization variable and a target is judged, and the correlation degree is divided into two levels. After environment parameters are obtained, a simulation value is corrected, and a fitness function and a constraint condition function are generated; and the optimal solution of the optimization variable is obtained by adopting a multi-target genetic algorithm, so that the parameter optimization of the reactor is completed, meanwhile, the requirements of the extra-high voltage shunt reactor on relatively small vibration and loss are met, and the method can be widely applied to actual power grid engineering.

The invention provides an electric energy quality compensation method and system based on power electronics, and relates to the technical field of power grid dispatching, and the method comprises the steps: collecting the voltage, current, harmonic content, reactive power, three-phase unbalance degree and other real-time multi-mode data of a power grid, and extracting key frequency spectrum features through wavelet transform denoising and windowing interpolation Fourier transform; and constructing a power quality feature vector. A self-adaptive fuzzy logic algorithm and power grid operation parameters are combined, a threshold value of a power quality index is dynamically adjusted, a multi-stage optimization strategy is divided based on the number of standard-exceeding indexes and importance analysis, and a dynamic compensation priority and a compensation strategy are generated. An improved particle swarm optimization algorithm is introduced, an inertia weight is dynamically adjusted, a constraint penalty function is introduced, output parameters of a power electronic compensation device are optimized, and effective compensation of power quality is realized by taking minimization of total active loss as a target.

The invention relates to the technical field of voltage control, in particular to a synchronous main shift gear automatic compensation voltage control system, which comprises an area load information acquisition module, a voltage instantaneous value and a current instantaneous value are periodically read through a voltage transformer and a current transformer which are deployed on a key feeder line or a user side in a specified area, and the voltage instantaneous value and the current instantaneous value are acquired; and calculating to obtain an active power value and a reactive power value, adding a synchronous timestamp and a node position code to each collected value, transmitting and collecting the coded voltage value, active power value, reactive power value and timestamp information, organizing and storing according to a regional and time sequence, and establishing a regional load real-time measurement data set. According to the method, real-time capturing and structured processing of the system call number, the parameter and the return value are carried out on the L4T kernel event triggered by the target process PID, a serialized system call track is obtained, and an execution process recording path mainly driven by process behaviors is formed.

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 power capacitor bank dielectric loss on-line monitoring method, particularly relates to the technical field of power system equipment insulation state monitoring, and is used for solving the problems of insufficient signal synchronization precision and large dielectric loss calculation error under complex electromagnetic interference in the existing method. The method comprises the following steps: acquiring voltage and current signals in real time and dynamically tracking fundamental frequency; intercepting a main period waveform, constructing phase space trajectory analysis complexity, and generating distortion features in combination with symbol sequence transfer entropy; dynamically adjusting filtering parameters based on the distortion characteristics and the Lyapunov exponent gradient; calculating a high-precision phase difference through zero crossing point interpolation correction and sliding window filtering, and finally determining a dielectric loss value; through dynamic frequency tracking, nonlinear feature collaborative analysis and an adaptive filtering strategy, noise interference is effectively suppressed, phase synchronization precision and dielectric loss calculation reliability are improved, and accurate and real-time monitoring support is provided for insulation performance evaluation of the power capacitor bank.

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.

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 discloses a power distribution network voltage control method and system based on an improved DDPG algorithm, and the method comprises the steps: carrying out the voltage control of a power distribution network through employing the improved DDPG algorithm in combination with a preset cost function when the voltage deviation of the power distribution network exceeds a preset threshold value, according to the improved DDPG algorithm, on the basis of the DDPG algorithm, a time sequence differential error is calculated for the experience stored in the experience playback buffer area to serve as a priority, and the experience is sampled from the experience playback buffer area according to the priority so that the utilization efficiency of the key experience with the higher priority can be improved. The invention aims to improve the computational efficiency of reinforcement learning, accelerate the convergence process and enhance the anti-noise capability, thereby providing a more accurate and more stable real-time voltage control solution to meet the dynamic adjustment demand of a power system in a complex environment.

The invention provides a self-adaptive low-voltage ride-through control method for a network-building type converter considering virtual impedance, and the method comprises the steps: defining a reactive power adjustment coefficient and an active power adjustment coefficient, obtaining a power parameter, building an active-reactive power self-adaptive low-voltage ride-through control strategy formula when the influence of the virtual impedance is not considered, and carrying out the self-adaptive low-voltage ride-through control of the network-building type converter. The relation between the virtual impedance and the output reactive power is analyzed through the reactive power of the network-forming converter control system after the virtual impedance link is switched in, so that the enlightenment that the virtual impedance needs to be introduced to carry out linear correction on the reactive power regulation coefficient is obtained; a corrected value function can be obtained after linear correction is carried out on reactive adjustment parameters through virtual impedance, the corrected value function is finally substituted into a strategy formula, an active-reactive self-adaptive low-voltage ride-through control strategy formula considering the influence of the virtual impedance is obtained, the transient power angle stability of a grid-forming type converter system can be enhanced, and the stability of the grid-forming type converter system is improved. And meanwhile, the problem of over-current of the converter under large disturbance is solved.

The invention discloses a transformer area side energy storage type electric energy quality comprehensive treatment method, which comprises the steps of monitoring and data analysis, voltage out-of-limit control, power out-of-limit control, reverse transmission prevention control, voltage reactive power control, source network load storage coordinated optimization, distributed photovoltaic absorption, comprehensive line loss reduction and the like. The transformer area operation parameters are monitored in all directions, the big data analysis technology is used for analyzing and processing real-time detection data, the functions of transformer area side voltage out-of-limit control, power out-of-limit control, reverse transmission prevention and the like are achieved, and the transformer area side electric energy quality can be effectively improved; the distributed photovoltaic bearing capacity and the access capacity of the alternating current charging pile of the electric vehicle are improved, the comprehensive line loss rate is reduced, the comprehensive line loss can be reduced by 10%, the distributed photovoltaic bearing capacity can reach 150%, the access capacity of the alternating current charging pile of the electric vehicle can be improved by 200%, and 100% consumption of the distributed photovoltaic is achieved.

The invention provides a voltage control method based on dynamic cluster division of a high-permeability photovoltaic power distribution network, and the method comprises the steps: carrying out the Newton-Raphson method load flow calculation of a power distribution network power system based on the topological structure data of the power distribution network, line parameters, the access position of a photovoltaic inverter and energy storage equipment, and equipment parameter information, and constructing a comprehensive modular function; based on the comprehensive modularization function, according to the load capacity of each moment, taking the average load capacity as a standard, utilizing an improved artificial hummingbird algorithm to dynamically divide time segments of the clusters and selecting dominant nodes of each cluster; based on the dominant node, taking the minimum node voltage deviation and the minimum system loss as objective functions, and constructing a second-order cone programming model when a preset constraint condition is satisfied; and solving the second-order cone programming model by using a solver CPLEX to obtain the reactive power regulation quantity of the distributed photovoltaic inverter and the active power regulation quantity of the energy storage equipment, thereby improving the power supply reliability and the electric energy quality of the photovoltaic power distribution network.

The invention discloses a low-cost high reactive overload energy storage converter topology and a modulation strategy thereof, is used for improving the reactive overload capacity of an energy storage converter, and belongs to the technical field of alternating current-direct current converters. According to the invention, the auxiliary diode is additionally arranged on the traditional ANPC bridge arm, so that the reverse current of the IGBT module is shared during high-proportion reactive output of the converter, and the reactive overload capacity of the converter can be efficiently improved with low cost on the basis of fully utilizing the existing equipment. Besides, a reactive overload capacity enhancement modulation strategy based on third harmonic injection is provided for the topology, and third harmonics are injected into modulation waves, so that the utilization rate of an auxiliary diode is improved, and the output capacity of reactive current is further enhanced. According to the method, a 100kVA prototype is tested and verified in Simulink / Plecs, the device cost of the proposed topology is only increased by 5.45% on the basis of a traditional ANPC, the reactive overload capacity is increased by 22%, and the power grid voltage supporting capacity of the energy storage converter can be effectively enhanced.

The invention relates to the technical field of photovoltaic power generation management systems, in particular to a photovoltaic power generation management, control and regulation system, which realizes multi-target collaborative optimization by fusing AGC active dynamic distribution, AVC reactive collaborative compensation, virtual inertia frequency response and reverse power rapid protection technologies. The system adopts a priority regulation and control strategy, a hybrid reactive power distribution algorithm and a multi-stage interlocking protection mechanism, the stability and the regulation precision of the power grid are remarkably improved, and the grid-connected requirement of a large-scale photovoltaic power station is met.

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 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.

The present invention discloses a method and device for simulating the power factor of a distributed photovoltaic power station, and relates to the technical field of power station power control. The method includes: using a measuring device to monitor the distribution network parameters of a substation in real time to obtain substation monitoring parameters; interactive inverter operation data to obtain power generation status and reactive power output capacity; analyzing the substation monitoring parameters to predict voltage fluctuations and load changes and identify reactive power demand; taking the reactive power demand as a target, performing reactive output regulation control to make the substation power factor reach the target value. The present invention solves the technical problem in the prior art that the power factor is too small, resulting in grid voltage fluctuations, affecting the power supply quality and stability of the grid, and achieves the technical effect of optimizing the power factor regulation of distributed photovoltaic power stations and improving the power supply quality and stability of the grid.

The invention relates to the technical field of new energy power generation, in particular to a wind power cluster multi-station coordinated adaptive voltage control method, device and equipment and a medium, and the method comprises the steps: constructing a three-layer coordinated voltage control architecture of a wind power cluster AVC master station-AVC coordinated substation-rapid AVC substation, and determining hierarchical control function requirements and interlayer high-speed communication; confirming a reactive power distribution algorithm of the AVC coordination substation and the rapid AVC substation; with the response speed as a reference, reactive power resources are classified, and steady-state replacement control and emergency scheduling mainly participating in reactive power are determined; and designing a voltage control action strategy according to a reactive power distribution algorithm, steady-state replacement control and emergency scheduling, and realizing coordinated adaptive voltage control of multiple stations. According to the invention, the problems of reactive surging and bus voltage oscillation caused by reactive resource response difference and asynchronous communication are improved, the bus voltage regulation speed is improved, and the disqualification probability of the bus voltage is reduced.

The invention discloses a new energy station reactive voltage response control method and system for suppressing transient voltage rise, and belongs to the technical field of new energy grid connection. The method comprises the following steps: establishing a new energy field station group low-voltage fault ride-through response control model, an SVG low-voltage fault ride-through reactive voltage response control model and a new energy unit transient voltage rise threshold; based on the time domain simulation result of the fault disturbance, a fitting curve of the new energy machine end transient voltage rise changing along with the low-pass reactive current coefficient is obtained; establishing a linear optimization model for suppressing transient voltage rise under the iteration, and solving and determining an optimal solution of the SVG low-pass reactive current coefficient; and performing time domain simulation based on the new SVG low-pass reactive current coefficient to determine and check whether the transient voltage rise of the new energy station meets a preset requirement, and performing loop iteration to establish and solve a linear optimization model until a new energy station SVG reactive voltage response control parameter optimal solution coordinated with the new energy unit is obtained. The method can promote new energy acceptance.

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

The invention relates to 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.