872results about "Reactive power compensation" patented technology

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 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 tracking-network construction combined low-voltage ride-through control method based on transient support. The method comprises the following steps: S1, analyzing transient voltage characteristics and requirements of a network construction-tracking network converter; s2, analyzing a transient voltage support target of the network construction-network following type hybrid multi-machine system; s3, constructing a network construction-network following type hybrid multi-machine system control strategy; and S4, on the basis of the network construction-network following type hybrid multi-machine system control strategy constructed in the S3, optimizing the low voltage ride-through control of the network following type converter and the transient voltage control of the network construction type converter. According to the control method disclosed by the invention, the advantages of the network-building / network-following converter are complemented, the control between the network-building / network-following converter and the network-building / network-following converter is coordinated, and the transient voltage of the power grid is actively supported by using the multi-machine converter system.

The invention discloses a multi-point voltage comprehensive control system and method for a photovoltaic high-permeability power distribution network. Comprising a photovoltaic output and load data acquisition module, a space-time coupling voltage sensitivity dynamic graph convolution calculation module, a source-load cooperative probability prediction module, a digital twin mapping module, a distributed feeder automation 5G cooperative control module and a voltage control execution module. The method comprises the following steps: collecting real-time data, calculating a multi-moment voltage sensitivity matrix through dynamic graph convolution, simulating multi-scene voltage distribution in a digital twin in combination with a source load probability prediction result, generating an optimization regulation instruction through 5G cooperative control, and controlling equipment to realize multi-point voltage regulation. According to the method, the sensing precision of photovoltaic and load changes, the voltage simulation accuracy and the control response efficiency are greatly improved, the voltage regulation stability and reliability of the power distribution network are comprehensively improved, and safe operation of the power distribution network under the photovoltaic high permeability is guaranteed.

The invention discloses a dynamic virtual impedance control method for multi-machine parallel connection of a network construction type energy storage converter, and belongs to the technical field of power electronics. The method aims to solve the problem that accurate reactive power distribution, circulating current suppression, dynamic response and voltage precision are difficult to consider in a multi-machine parallel system through fixed parameter virtual impedance. A dynamic adjustable virtual impedance module is introduced into the voltage outer loop output end of each converter, and virtual resistance and virtual inductance are calculated in real time based on locally measured output current, bus voltage change rate and adjacent machine reactive power deviation information; and the average reactive power of the system is estimated through a phase synchronization mechanism under the condition of no communication so as to realize multi-machine cooperation. According to the method, the reactive power distribution error is less than 5%, the bus voltage drop is less than 3%, the high-frequency circulating current is controlled within 5% of the rated current under all working conditions, and the dynamic performance and robustness of the system are remarkably improved.

The invention belongs to the technical field of voltage optimization, and particularly relates to a reactive voltage optimization control method suitable for a large-scale new energy collection area, and the method comprises the steps: constructing a node power distribution network topology based on a power system simulation platform, and obtaining a training label; mapping the power distribution network into a graph structure containing nodes and edges; executing graph convolution operation through a graph neural network, extracting single-moment spatial topological features, and arranging the single-moment spatial topological features according to a time sequence to form a spatial topological feature sequence; performing spatial-temporal dynamic modeling on the spatial topological feature sequence by using an improved Mamba model, and outputting a spatial-temporal time sequence feature sequence; introducing an attention mechanism, and outputting a reactive power prediction value of each controllable device as a control instruction of power distribution network dispatching; and outputting a control instruction of actual power distribution network dispatching by using the trained graph neural network and the improved Mama model. According to the invention, under the condition of ensuring voltage safety and reactive constraint, the voltage out-of-limit quantity is reduced, and the voltage qualification rate is improved.

The invention discloses a power grid dynamic reactive power cooperative control system and method based on multi-source data fusion, and the system comprises a cloud cooperative control platform and a plurality of edge autonomous control nodes, and the cloud cooperative control platform collects multi-source heterogeneous data of a main network, a distribution network, distributed energy and a load side through a multi-source data sensing module. A power grid panoramic state feature tensor is generated through a data fusion module, a power grid digital twin module constructs and dynamically updates a power grid digital twin based on the feature tensor, and a centralized optimization decision module performs collaborative optimization calculation based on a digital twin model to generate an adjustment instruction of reactive power equipment in each region; and the edge autonomous control node executes a cloud instruction when the communication is normal, and performs local autonomous control when the communication is abnormal. According to the method, power grid panoramic perception is realized through deep fusion of multi-source data, the system can perform local adjustment when communication is abnormal based on the cloud edge collaborative architecture, and the globality, the real-time performance and the reliability of power grid reactive power control are effectively improved.

The invention discloses a new energy base active instruction tracking and reactive voltage support coordination control method, which comprises the steps of obtaining an active power instruction output by a new energy base grid-connected point and a new energy base internal station operation parameter, and constructing a new energy base grid-connected power flow model; determining optimization target variables, targets and constraint conditions according to the new energy base grid-connected power flow model, and establishing a new energy base active instruction tracking and reactive voltage support coordinated optimization model; according to the new energy base active instruction tracking and reactive voltage support coordinated optimization model, solving the optimization model by using a hybrid intelligent algorithm to obtain optimal active and reactive output coefficients of each station in the new energy base; and controlling active instruction tracking and reactive voltage support coordination of the new energy base according to the optimal active and reactive output coefficients.

The invention discloses a multi-mode local voltage control method and system based on a deep neural network, and relates to the technical field of power system operation optimization, and the method comprises the steps: constructing a multi-mode sample set comprising node voltage, photovoltaic output and load data, setting a voltage upper limit, a voltage lower limit and a hysteresis interval, and dividing operation modes; establishing a control mode selection unit by using a deep neural network, and establishing a reactive power output prediction model by using a convolutional neural network; and performing localized deployment based on the trained controller model, and performing node-level adaptive voltage control and real-time reactive power optimization according to the hysteresis interval and the residence time. According to the method, stable division and feature layering of voltage states are achieved, representativeness of model training samples and precision and stability of voltage mode recognition are improved, collaborative optimization of mode judgment and adjustment output is achieved, stable switching and dynamic optimization of the voltage states are achieved, and system immunity and stability of multi-node operation are improved.

The invention discloses a harmonic suppression and dynamic reactive compensation control method for an energy router, which is suitable for a micro-grid and a distributed energy access system. According to the method, three-phase current and voltage signals of an alternating current port of the energy router are collected, five-time and seven-time main harmonic components are extracted through fast Fourier transform, harmonic compensation current instructions equal in amplitude and opposite in phase are generated and injected into an inverter to be output, and active counteracting of main harmonics is achieved. Meanwhile, the bus voltage deviation and the change rate thereof are detected, a reactive current instruction is adjusted on line by adopting a fuzzy self-adaptive PI controller, rapid and smooth dynamic reactive compensation is realized, and the bus voltage is stabilized. Decoupling control of active / reactive and harmonic components is realized in combination with Park conversion, and virtual impedance is introduced to enhance system damping and harmonic suppression capabilities. Compared with the prior art, harmonic suppression and voltage support can be simultaneously realized under a single control framework, the response speed is high, the stability is high, and the method is suitable for high-performance grid-connected operation of the multi-port energy router.

The invention relates to the technical field of transformer intelligent optimization compensation, in particular to an electric energy quality compensation method and equipment for new energy access to a power grid, and the method comprises the steps: connecting a dynamic voltage compensation converter in series at the low-voltage side of a transformer, and connecting a high-power bidirectional converter in parallel at the load side of a terminal, acquiring the voltage of the low-voltage side of the transformer at each moment in each period, and recording the voltage as transformer voltage; acquiring load current and load voltage at each moment in each period of the load side of the terminal; determining the influence weight of harmonic disturbance, the influence weight of reactive power disturbance and the influence weight of voltage out-of-limit in each period; constructing a target function; and obtaining an optimal power factor, each harmonic current component and each transformer voltage in the current period by utilizing an intelligent optimization algorithm and combining the objective function, and respectively performing transformer voltage compensation, reactive compensation and harmonic current compensation on the current period. Therefore, the overall stability of electric energy quality is improved.

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 provides a self-adaptive control method for improving new energy power generation grid-connected stability of a micro-grid, and the method comprises the steps: carrying out the description according to a corrected phase change trend, fusing the real-time feedback data of voltage deviation, generating a reactive compensation instruction sequence segmentation adjustment scheme, and determining a preliminary compensation capacity dynamic distribution strategy; the microgrid system is regulated and controlled in real time through the optimized control instruction sequence in combination with the power grid stability constraint condition, the actual execution effect of the compensation action is obtained, and whether the system voltage deviation meets the stability requirement or not is judged; according to the stability requirement judgment result of the system voltage deviation, the execution effect is fed back to a micro-grid control layer, a closed-loop mechanism is adopted to carry out iterative updating on the instruction sequence segmentation adjustment scheme, and a final reactive compensation regulation and control scheme is determined.

The invention relates to the technical field of intelligent power distribution networks and power distribution automation, and discloses an incremental power distribution network reactive power and voltage stability collaborative optimization system, which is characterized in that a multi-main-body data acquisition module firstly accesses power distribution network operation, multi-main-body characteristics and new energy data, and then a privacy desensitization processing module executes differentiated desensitization according to sensitivity grading; the method comprises the following steps: generating a safe and available standardized data set, constructing agents for mapping multiple subjects by a privacy enhancement multi-agent optimization module, transmitting a model parameter gradient instead of original data to a central server, encrypting aggregation parameters by the server in combination with an attention mechanism, and injecting Laplace noise to cover privacy features, and meanwhile, an aggregation period is adaptively adjusted according to a distribution network voltage fluctuation ratio, finally, a reactive voltage collaborative scheduling module generates a verification instruction according to an equipment response priority, and a monitoring feedback module identifies a sag source and dynamically corrects the sag source in combination with wavelet transform, so that collaborative optimization of privacy security, multi-main-body win-win and voltage stability is realized.

The invention relates to the field of energy storage and reactive compensation capacity optimization configuration, in particular to a new energy pooling station energy storage and reactive compensation configuration method based on big data analysis. The method comprises the following steps: firstly, acquiring data, respectively obtaining a sensitivity coefficient of active power and a sensitivity coefficient of reactive power through a disturbance response sampling linearization identification method, and introducing a dynamic active-reactive decoupling voltage improvement evaluation algorithm based on sensitivity weighting to obtain a voltage improvement amplitude of a node; then, based on the voltage improvement amplitude of the node, constructing a target function; and carrying out iterative solution on the constructed objective function, and outputting the optimal active power regulation quantity of each energy storage unit and the optimal reactive power regulation quantity of each reactive compensation device. The technical problems that the sensitivity coefficient is difficult to update in real time, the calculation scale is huge, the response speed of real-time optimization scheduling, unnecessary active loss and battery life loss are seriously influenced, and the physical balance of the voltage improvement amplitude between the nodes is ignored are solved.

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 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.

The invention provides a power distribution network reactive power optimization method and device based on deep reinforcement learning, and the method comprises the steps: building a mixed integer second-order cone programming model according to the state parameters of low-speed reactive power regulation equipment in a power distribution network, solving the mixed integer second-order cone programming model, and obtaining the day-ahead optimal scheduling result of each piece of low-speed reactive power regulation equipment; based on the day-ahead optimal scheduling result and the operation characteristics of the current power distribution network, establishing a multi-agent reinforcement learning model with the goal of minimizing the current operation cost of the power distribution network; a multi-agent depth deterministic strategy gradient algorithm is adopted to train the multi-agent reinforcement learning model, and an intra-day multi-agent real-time scheduling strategy is generated; and fusing the day-ahead optimal scheduling result with the intra-day multi-agent real-time scheduling strategy, and outputting a multi-time-scale coordinated power distribution network reactive power optimization control instruction. According to the technical scheme, a multi-time-scale coordinated reactive power optimization mechanism considering day-ahead economical efficiency and intra-day real-time performance is realized.

The invention discloses a reactive compensation equipment fault automatic early warning system based on an intelligent algorithm, which belongs to the technical field of intelligent power grids and comprises a fault data acquisition module, a feature processing module, a fault diagnosis and evaluation module and a visualization module. Matlab software, Simulink software, a configurable point fast Fourier transform algorithm, a fluorescence imaging technology, a capacitive detection technology and a related intelligent algorithm are combined, reactive power compensation equipment fault analysis is carried out from three angles of a lightning arrester, a capacitor and a reactor, and the fault of the reactive power compensation equipment is analyzed in a chart form. And the visual output of the output result of the reactive power compensation equipment fault diagnosis model is realized. According to the invention, intelligent and precise diagnosis and visual early warning of reactive power compensation equipment faults are realized by comprehensively collecting multi-dimensional data of the lightning arrester, the capacitor, the reactor and overall compensation.

The invention discloses a transient reactive power recovery control method, system and device for a new energy station and a storage medium, and the method comprises the steps: obtaining dynamic model parameters of a target new energy station, obtaining near-region power grid parameters of the target new energy station, building a near-region simulation model of the new energy station, carrying out the fault simulation of a near-region station of the target new energy station, and carrying out the fault simulation of the near-region station of the target new energy station. Identifying a target site causing transient voltage instability, and setting a fault occurring on the target site as a target fault; taking the maximum reactive power output and the reactive power recovery rate as optimization variables, constructing a multi-objective optimization function, and setting differentiation constraints; and carrying out iterative solution on the optimization function, evaluating system stability responses under different parameter combinations, and outputting an optimal minimum active output and an active recovery rate as a transient active recovery strategy of the new energy station. By optimizing the transient reactive power recovery control strategy of the new energy station after the power grid fault, the transient voltage stability of the near area of the new energy station is improved.

Disclosed in the present invention are a virtual impedance angle adaptive control method and system for parallel operation of converters, relating to the technical field of converter system control, and comprising: by means of a consistency control algorithm, observing an active average value and a reactive average value; by means of the active average value and the reactive average value, obtaining a trigonometric function value corresponding to the virtual impedance angle; obtaining a virtual resistance and a virtual negative reactance corresponding to each converter; using a dynamically changing virtual impedance angle to perform power coordinate transformation on the active power and reactive power of the converter in order to obtain generalised active power and generalised reactive power; and controlling the generalised active power and generalised reactive power. The present invention is applicable to a scenario of parallel operation of converters, such as a microgrid; by dynamically adjusting the virtual impedance angle in real time, the problem of voltage deviation after the introduction of virtual impedance can be significantly improved, and the voltage quality can be improved.

The invention discloses a distribution network on-line ice melting reactive compensation method and system based on magnetic control switch grading compensation, and relates to the field of disaster prevention and reduction and electric energy quality control of an electric power system. The problems of reactive unbalance, voltage fluctuation and harmonic pollution in the ice melting process are solved. The core is that a Z-type grounding transformer zero-sequence ice melting topology and a magnetically controlled switch grading compensation topology are integrated, and line ice melting is realized by constructing a zero-sequence ice melting loop; a double-state control strategy of blocking-state high-damping standby and conducting-state inrush-current-free switching of a magnetically-controlled switch branch is designed, and integration of reactive compensation and harmonic filtering is achieved by combining resonance tuning; the number of compensation branch switching groups is dynamically adjusted by adopting split-phase independent nine-zone graph closed-loop hierarchical control. According to the invention, ice melting and reactive compensation co-topology operation is realized, the stability of a power grid is improved, the device loss and the operation and maintenance cost are reduced, the mobile ice melting requirement is met, and the engineering practicability is high.

The invention discloses a virtual power plant distributed resource cooperative control method and device for a power distribution network, and belongs to the technical field of power system operation control, and the method comprises the steps: dividing the power distribution network into a plurality of voltage control regions, each region comprises a plurality of autonomous units and is provided with a voltage intelligent agent, and the voltage control regions are provided with region coordinators; a voltage agent collects local voltage through a sensing layer, exchanges data with an adjacent agent through a communication layer to construct an electrical neighbor relation network, constructs a local potential field function, dynamically updates voltage-reactive sensitivity by injecting a reactive test signal, and further calculates and outputs a reactive power regulation instruction and issues the instruction to a distributed resource; and when voltage out-of-limit or instruction oscillation is detected, the regional coordinator is activated, collects state information, redistributes reactive support tasks by using a consistency algorithm, sleeps after arbitration conflicts, and finally summarizes a result and an operation state to generate a report and uploads the report to the central controller of the virtual power plant. And the reliability, the self-adaptability and the operation efficiency of voltage control of the power distribution network are improved.

The invention relates to the technical field of voltage regulation and control of a power distribution system, and particularly discloses a voltage regulation and control method and system of a low-voltage flexible interconnection power distribution system. On-load voltage regulating transformer and capacitor bank action decisions considering robustness and economical efficiency can be made, and the influence of uncertainty of renewable resources on voltage stability can be effectively dealt with; the SOP voltage reactive droop control parameter optimization model is constructed by taking the minimum node voltage deviation and the system network loss as targets, and the SOP voltage reactive droop control parameter optimization model based on intraday rolling optimization can ensure that the node voltage is stable in the real-time voltage control stage of the SOP, and also considers global network loss optimization, so that the global performance of the system is improved. According to the method, dynamic characteristics and interaction influences among different voltage regulating devices are considered, sequential cooperative control among various resources is realized through day-ahead and intra-day distributed optimization and centralized local multi-stage voltage control, and the voltage out-of-limit problem of the flexible interconnection power distribution system is effectively solved. And the system voltage control effect is improved.

The invention discloses an intelligent reactive power automatic compensation control device and method, and relates to the technical field of reactive power compensation of a power system. The device comprises a power supply input module, a sampling and signal conditioning module, a high-speed ADC module-block, an FPGA high-speed processing unit, a data storage module, an AI decision unit, a control driving module, a multi-channel capacitor switching device and a capacitor bank module. Through combination of the multi-channel capacitor switching device and an intelligent dynamic control technology, matrix-type accurate switching control of the capacitor bank is realized, the corresponding capacitor bank can be flexibly switched based on reactive power data dynamically acquired in real time, instant accurate compensation of reactive power capacity is achieved, and the reactive power capacity of the capacitor bank is accurately compensated. And the adaptability and the flexibility of compensation under different load working conditions are ensured.

The invention discloses a power distribution network voltage active control method and device based on energy storage converter regulation, and the method comprises the steps: building a multi-objective optimization function with system line loss, converter regulation power quantity and voltage fluctuation risk indexes as optimization objectives, and calculating energy storage converter regulation reactive power quantity according to an action voltage threshold; solving the multi-objective optimization function by taking the action voltage threshold as a decision variable to obtain an optimal action voltage threshold of the energy storage converter; and monitoring the actual voltage of the target grid-connected node in real time, comparing the actual voltage with the optimal action voltage threshold corresponding to the target energy storage converter, triggering the target energy storage converter to carry out reactive power regulation according to the comparison result, and calculating the reactive power regulation quantity required by the target energy storage converter according to the deviation value and the reactive power-voltage sensitivity matrix. The grid-connected point voltage of the power distribution network can be adaptively optimized and adjusted, and the utilization rate, the scheduling performance and the flexibility of scheduling resources are improved.

The invention discloses a short-time voltage fluctuation suppression method, device and equipment based on partition fluctuation evaluation, and relates to the technical field of power system control. The method comprises the following steps: under a minute-level time scale, taking the comprehensive minimization of active power loss, voltage fluctuation in adjacent time periods and reactive power regulation cost as a target, constructing a multi-period reactive power voltage optimization control model, and obtaining a reference voltage and a reference reactive power control quantity; a power system is partitioned through a modularity-based reactive voltage control robust partitioning algorithm, and influence areas which are mainly influenced by new energy fluctuation are identified on the basis of partitioning. And constructing a partition fluctuation evaluation index and setting a partition optimization event triggering mechanism. And under a short-time scale, constructing a subarea reactive voltage optimization control model based on quadratic programming by utilizing a subarea space decoupling technology, and executing subarea coordination optimization. And correcting the partition reactive voltage optimization control model through a model correction method based on multiple linear regression.

The invention discloses a bus voltage fluctuation prediction and dynamic reactive compensation method based on a generative adversarial network, and the method comprises the steps: collecting the historical operation data and real-time monitoring data of a high-voltage bus, and carrying out the data preprocessing, and obtaining a training sample set; training a pre-constructed generative adversarial network according to the training sample set, and generating a bus voltage fluctuation prediction model; training a pre-constructed deep learning model according to the training sample set, and generating an optimal compensation strategy; inputting historical window data collected in real time into the bus voltage fluctuation prediction model, and outputting a bus voltage fluctuation prediction value; and based on the bus voltage fluctuation prediction value and the historical window data, inputting to the optimal compensation strategy, and generating an action instruction of dynamic reactive compensation.

The invention belongs to the technical field of seabed hole domain electromagnetic detection, and relates to a hybrid multi-frequency reactive compensation method for a seabed electromagnetic emission system, which comprises the following steps of: designing a topological structure of a hybrid multi-frequency reactive compensation system according to an impedance matching requirement of a low-frequency emission frequency band of the seabed electromagnetic emission system; deducing a compensation strategy and an implementation method of the hybrid multi-frequency reactive power compensation system based on the multi-frequency reactive power compensation requirement of the load; and analyzing the influence of the reactive compensation combination proportion of the impedance matching part of the passive TCC and the impedance matching part of the active ICC on the requirement of the direct-current power supply voltage VICC, and carrying out parameter design of the passive TCC and the active ICC. According to the hybrid multi-frequency reactive compensation technology, the single-frequency reactive compensation capability is further expanded into self-adaptive dynamic compensation of multi-frequency reactive power in a wide frequency band; the additionally introduced active impedance matching part effectively improves the multi-frequency impedance matching precision, and the frequency spectrum energy utilization rate of multi-frequency transmitting signals is further improved in a low-frequency transmitting frequency band.

The invention relates to the technical field of power distribution system control, in particular to a transformer area voltage compensation control method and system considering distributed power supply fluctuation. Constructing an electric energy quality influence coefficient of each grid-connected point in each time period according to the three-phase voltage and a difference condition among positive-sequence, negative-sequence and zero-sequence components obtained by three-phase voltage decomposition, and calculating a comprehensive disturbance coefficient of a low-voltage transformer area in each time period by combining voltage difference and voltage change trend synchronism among different grid-connected points; the distribution difference and the coupling influence relation between the grid-connected points are comprehensively considered, and the influence characteristics of the fluctuation of the distributed power supply can be evaluated more accurately; the gain coefficient in the sliding mode controller is optimized based on the obtained comprehensive disturbance coefficient, and the adjusted controller is adopted to carry out transformer area voltage compensation control, so that the defect that the transformer area voltage compensation precision and reliability are insufficient can be overcome.