951 results about "Power quality" patented technology

The invention belongs to the technical field of artificial intelligence, and relates to an artificial intelligence-based electric energy quality disturbance identification and positioning method, which comprises the steps of constructing an electric energy quality disturbance signal data set, performing segmented preprocessing on electric energy quality disturbance voltage data, enhancing time-frequency joint features and encoding disturbance sensitive areas. And constructing a deep learning model for power quality disturbance identification and positioning, and identifying and positioning the power quality disturbance. According to the invention, through adaptive denoising processing, boundary detection and multi-resolution time-frequency feature extraction, the identification precision and positioning precision of power quality disturbance are significantly improved; self-adaptive wavelet denoising and dynamic segmentation are combined, noise interference is effectively suppressed, and the edge characteristics of voltage sudden change points are kept; according to the dual-task sharing network, disturbance identification and positioning tasks are cooperatively optimized, so that the network can consider disturbance classification and time positioning at the same time; and through Bayesian reasoning, the system can output confidence estimation, provides credibility quantification of identification and positioning results, and effectively improves the reliability of the system.

The invention relates to the technical field of micro-grid control, and discloses a micro-grid adaptive switching control method and system based on multi-source information fusion, and the method comprises the steps: obtaining the internal operation parameters of a micro-grid, and the state parameters of an external large power grid connected with the micro-grid; the internal operation parameters and the external large power grid state parameters are fused, and a real-time comprehensive operation state model of the micro-grid is constructed; based on the real-time comprehensive operation state model, adaptively determining a target operation mode of the micro-grid; and according to the target operation mode, generating and executing a smooth switching control instruction of the micro-grid. According to the method, the multi-source operation information of the large power grid inside and outside the microgrid is fused, the comprehensive operation state model is constructed in real time, the target operation mode is adaptively selected, and switching control is smoothly executed, so that efficient and stable switching of the microgrid between multiple modes such as grid connection and island can be realized, and the power supply reliability, the system stability and the electric energy quality are improved.

The invention discloses a cooperative scheduling method for a zero-carbon park complementary energy storage system, and the method comprises the steps: enabling an electric energy quality index to be explicitly incorporated into an optimization target through multi-source resource dynamic modeling and scene prediction, and building a strong coupling relation between a physical constraint and a scheduling decision; the hierarchical execution mechanism gives consideration to global optimization and local quick response, realizes undisturbed switching under abnormal working conditions, forms a prediction-optimization-execution-feedback closed-loop control system, and can accurately describe physical connection and electrical characteristics of a park power grid by establishing a power distribution network equivalent model and acquiring topological parameters, thereby realizing the optimal control of the park power grid. And basic network data is provided for subsequent optimization. By determining the controllable resource set and completing topological mapping, the position and the regulation and control range of each device in the power grid can be determined, and mistaken sending or conflict of instructions can be avoided. An apparent power upper limit constraint and SOC dynamic model is established, overload operation of equipment can be avoided, the energy storage charging and discharging capacity can be accurately represented, and the performability of a scheduling scheme is ensured.

The invention discloses a TCM-mode-based Si-SiC hybrid power multi-phase staggered H-bridge converter structure and a control method thereof, according to the scheme, a three-phase staggered parallel topology of a two-phase low-frequency Si-IGBT bridge arm and a one-phase high-frequency SiC-MOSFET bridge arm is adopted, and a TCM control strategy is combined, so that zero voltage switching (ZVS) of a Si device is successfully realized, the switching loss is remarkably reduced, and the switching efficiency is improved. The system efficiency is greatly improved; and meanwhile, through pilot frequency interleaving and ripple compensation technologies, total output current ripples are greatly reduced, and optimal balance between system performance and manufacturing cost is realized while the power capacity of the converter is remarkably expanded and the dynamic response speed and the output electric energy quality are improved.

The invention belongs to the technical field of novel power system photovoltaic and energy storage system optimization configuration, and discloses an optical storage system optimization method based on carbon emission and line loss rate collaborative modeling, which comprises the following steps: constructing a double-layer planning structure of an upper layer planning model and a lower layer operation model, a carbon emission calculation model and an improved line loss rate calculation model are introduced into the lower layer, joint optimization of configuration and operation is realized through parameter coupling, and the charge and discharge efficiency loss power consumption of the energy storage device is introduced as an independent parameter in line loss rate calculation, so that the line loss calculation precision is improved; and solving by adopting an improved particle swarm optimization algorithm, and objectively sorting candidate schemes in combination with an information entropy method and a TOPSIS comprehensive evaluation method. A simulation result based on an IEEE33 node power distribution system shows that the model can effectively reduce carbon emission and line loss rate, improves node voltage level, and has good convergence and engineering applicability.

The invention relates to the technical field of intelligent monitoring and fault diagnosis of a photovoltaic power generation system, in particular to a photovoltaic grid-connected box electric energy quality monitoring system based on data acquisition of the Internet of Things. Comprising an environment perception and time domain synchronization unit which is used for triggering sampling by using a unified clock source and generating a full-dimensional synchronous original data stream; the ideal reference physical reconstruction unit is used for calculating a theoretical output amplitude envelope and generating an ideal state reference vector; the fault mechanism parameterization evolution unit is used for converting the fault mechanism into a fault operator, selecting a high-risk fault mode according to the current operation condition, and superposing the corresponding fault operator onto the ideal state reference vector to generate a theoretical damaged state waveform; the double-rail-difference manifold extraction unit is used for obtaining a real residual vector and a theoretical fault residual vector; and the isomorphic feature coupling judgment unit is used for calculating the similarity between the real residual vector and the theoretical fault residual vector. According to the invention, the robustness of power quality monitoring under complex meteorological conditions is significantly improved.

The invention relates to the technical field of electric energy quality management of an electric power system, and discloses an industrial power grid voltage fluctuation suppression method and system, and the method comprises the steps: firstly building a system-level voltage and current forward transmission model composed of a power unit, a filter circuit and power grid impedance which are cascaded; reversely constructing a feedforward controller based on a voltage and current forward transfer model, and generating a main compensation voltage instruction according to the power grid disturbance quantity detected in real time; state parameters of each power unit are obtained, a differential equation is constructed, and a comprehensive real-time health degree index is obtained through fuzzy reasoning; dynamically correcting an equivalent impedance parameter in the forward transfer model by using the index, and calculating a voltage distribution weight of each unit; and decomposing the total compensation voltage instruction into each unit modulation signal according to the weight. Through systematic modeling, intelligent state evaluation and dynamic fault-tolerant distribution, high-speed, accurate and high-reliability suppression of the voltage fluctuation of the industrial power grid is realized.

The invention relates to the technical field of micro-grid control, in particular to a source-grid-load storage and charging integrated control method and system based on a micro-grid, and the method comprises the steps: considering the current SOC, health state and charging and discharging rate of a battery energy storage system, and evaluating the available capacity and charging and discharging capability of the battery energy storage system; according to the predicted charging load curve, the photovoltaic output curve and the energy storage state evaluation result, taking peak load shifting, photovoltaic consumption and charging station power supply guarantee as targets, generating a scheduling strategy by using an optimization algorithm, and determining a power distribution relationship among a photovoltaic system, a battery energy storage system and a charging station in each time period; and executing a scheduling strategy generated by the energy management module through three stages of regulation and control units, wherein the three stages of regulation and control units are respectively used for limiting grid-connected power fluctuation of the micro-grid, optimizing local energy distribution and island switching, regulating active power and reactive power and carrying out harmonic suppression. And stable operation of the micro-grid and stability of electric energy quality are ensured.

The embodiment of the invention discloses a collaborative optimization method and device for the power quality of a high-permeability transformer area. The method comprises the following steps: acquiring three-phase voltage, three-phase current and environment temperature data; the voltage deviation, the three-phase unbalance degree, the total harmonic distortion rate and the reactive vacancy of the high-permeability transformer area are calculated based on the three-phase voltage and the three-phase current; taking voltage deviation as a primary optimization target, considering optimization of three-phase unbalance degree, total harmonic distortion rate and reactive vacancy, constructing a multi-target optimization function, and carrying out dynamic constraint on an optimization process based on environment temperature data; solving the multi-objective optimization function by adopting an optimization algorithm to obtain a group of optimal decision variables, and converting the decision variables into corresponding control instruction sets; and the control instruction set is issued to the on-load voltage regulating transformer, the reactive compensation equipment and the power electronic compensation module for execution. Therefore, the problems of voltage out-of-limit, harmonic pollution and imbalance are effectively solved through a multi-target cooperation and temperature self-adaption mechanism.

The invention discloses a synchronous generator excitation method based on mathematical modeling and gain scheduling, and relates to the technical field of synchronous generator control, and the method comprises the steps: building a synchronous generator global dynamic mathematical model comprising the electromagnetic dynamic characteristics of a stator winding, a rotor winding and a damping winding through a modeling module; a discretization simulation platform is constructed in a Matlab / Simulink environment by utilizing a simulation module, model parameters are corrected, dynamic adjustment is realized through a gain scheduling excitation controller, an automatic voltage regulator (AVR) adopts PID (Proportion Integration Differentiation) control and comprises a voltage deviation integral separation strategy, and a power system stabilizer (PSS) dynamically adjusts parameters of a lead-lag compensator based on active power. According to the method, the deviation between a model and an actual system can be reduced by more than 30%, the electromechanical oscillation damping ratio within the rated power range of 10%-150% is increased by 25%-40%, the harmonic content of exciting current is reduced to be lower than 5%, the stability of an electric power system and the electric energy quality are remarkably improved, the engineering practicability is high, and the method is easy to transform and upgrade on an existing synchronous generator.

The invention provides an electric energy quality on-line monitoring device and a cloud platform cooperation system, and relates to the technical field of electric energy quality management, and the device comprises a signal collection unit which obtains three-phase voltage and current signals in parallel through a Rogowski coil and a capacitive voltage divider; the event detection unit is used for synchronously executing harmonic spectrum analysis and transient event capture by adopting a parallel processing architecture realized by an FPGA (Field Programmable Gate Array); the edge processing unit is connected with the event detection unit, and is configured to encode the transient event features into a Gramer angle field image and compress steady state data into feature vectors; the multimode communication unit comprises a 4G / 5G wireless module and an optical fiber Ethernet interface; and the strategy execution interface outputs a treatment instruction to the compensation device through the D / A converter and the current loop. Through collaborative innovation of the device and the cloud platform, the power quality monitoring and treatment efficiency is remarkably improved.

The invention discloses a non-contact power supply three-stage control system based on series redundancy, and belongs to the field of non-contact power supply control. Comprising a power correction module, a voltage conversion module, a full-bridge inversion module, a cooperative control module, an analysis adjustment module, a monitoring switching module, a simulation maintenance module, a communication security module, a remote interaction module, an energy efficiency optimization module and a diagnosis recording module. High conversion efficiency can be dynamically kept under different loads and working conditions, energy loss is reduced, electric energy quality is remarkably improved, damage and misoperation under abnormal working conditions are prevented, high-reliability continuous power supply is achieved, PID parameters can be dynamically adjusted or direct control quantity can be generated, the system adapts to complex and changeable operating environments, and failure rate and shutdown loss are reduced.

The invention relates to the technical field of power quality monitoring, in particular to a method and system for constructing a power quality disturbance recognition model based on multidimensional data, and the method comprises the steps: obtaining voltage and current waveform data and environmental parameter data of a key node of a power transmission line, carrying out the hardware defect self-inspection and phase compensation of the voltage and current waveform data, and obtaining a power quality disturbance recognition model; clean transmission electric energy data is obtained; and performing multi-scale noise suppression and time sequence correlation analysis on the clean transmission electric energy data, and constructing a high-fidelity disturbance sequence. According to the method, through the hardware defect self-inspection and phase compensation steps, denoising preprocessing is carried out by utilizing wavelet packet transformation, the frequency response deviation of equipment is identified through Fourier transformation, a frequency domain interpolation method is adopted to reconstruct a frequency-closed defect mark segment, the phase deviation error can be accurately compensated, and the detection accuracy is improved. And self-systematic errors of hardware are eliminated from a data acquisition source, high fidelity of clean transmission electric energy data used for subsequent analysis is ensured, and a foundation is laid for high-precision identification.

The invention discloses an electric energy quality data monitoring method, and relates to the technical field of electric power system monitoring and analysis, and the method comprises the following steps: S1, obtaining an original voltage and current waveform set; s2, performing time-frequency domain decomposition by using the waveform set; s3, performing feature fusion by using the feature component set; s4, performing time serialization by using the electric energy quality index set; and S5, performing multi-dimensional structured integration by using the time sequence index data. By setting a voltage and current characteristic component coupling mechanism, unified expression of voltage and current characteristics can be ensured on an original signal level, and fine-grained description of electric energy quality characteristics is realized in an index calculation link, so that the problems of data dimension separation and insufficient index precision in the prior art are effectively solved. The method not only improves the comprehensiveness and reliability of the electric energy quality monitoring result, but also lays a solid data foundation for subsequent time serialization and structuralization integration.

The invention relates to the technical field of energy management, and provides a park light storage and charging energy distribution control method and system, and the method comprises the steps: transmitting an instruction to an energy storage system in an emergency, enabling the energy storage system to release an electric energy pulse to a micro-grid at the maximum available power within a preset time, and enabling the micro-grid to be in the maximum available power; providing time buffer for the power reduction process of the load units in the park; after the power reduction instruction is executed, identifying response characteristics of each load unit in the park to the power reduction instruction, and grading each load unit according to the response characteristics to obtain grading information; during the time buffering period, according to the grading information of the load units, a grading decreasing load reduction plan is formulated and executed, and a reduction instruction is issued in a peak shifting manner, so that the overall load is smoothly reduced; and continuously monitoring the power quality of the micro-grid, and finely adjusting the output of the energy storage system according to the power quality of the micro-grid. The method has the effect of improving the stability and reliability of light storage and charging in the park.

The invention, which relates to the technical field of distributed power generation, discloses a modularized distributed photovoltaic inverter cluster intelligent regulation and control system comprising an impedance identification module, an impedance control module, a state sensing module, a fault diagnosis and isolation module, a power distribution module and a cluster fault control module. The power grid impedance monitoring module is used for monitoring voltage and current signals of a grid-connected point of the photovoltaic inverter, calculating a power grid equivalent impedance value, an impedance change trend and a harmonic component proportion of the current photovoltaic inverter, and generating power grid impedance information. The impedance identification module and the impedance control module are arranged, adjustment is carried out based on the virtual impedance parameters, the resonance problem caused by power grid impedance fluctuation is effectively suppressed, the situation that grid-connected current distortion affects the electric energy quality is avoided, the photovoltaic inverter cluster stably operates in a power grid impedance change scene, and the power grid impedance change efficiency is improved. And the cluster grid-connected power quality and the adaptability to the power grid environment are improved.

The invention relates to a harmonic traceability method based on an electric energy quality index monitoring cloud platform, which is realized based on the electric energy quality monitoring cloud platform of an electric power system, and comprises the following steps: S1, selecting an attention node; s2, selecting a harmonic traceability time period; s3, selecting a correlation coefficient calculation item; s4, collecting and processing harmonic data of all feeders of each concerned node, and drawing a voltage distortion rate and harmonic current trend curve contrastive analysis chart of each feeder; and S5, the electric energy quality monitoring cloud platform uses a built-in traceability algorithm to calculate correlation coefficients, screens feeder lines whose correlation coefficients are greater than K, and outputs a harmonic traceability report. According to the invention, one-key positioning and accurate identification are carried out on the system harmonic source based on the electric energy quality monitoring cloud platform by adopting synchronous electric energy quality data of multiple monitoring points according to an advanced correlation traceability algorithm, so that the harmonic traceability accuracy and working efficiency are greatly improved, and the harmonic traceability cost is reduced.

The invention relates to the technical field of power electronic control and new energy power generation, and discloses an energy storage type photovoltaic off-grid inverter control method and system. The method comprises the following steps: acquiring an analog voltage signal and an analog current signal, and inputting the analog voltage signal and the analog current signal into a preset adaptive filter to obtain a disturbance component sequence; calculating a disturbance current sudden change degree, and if the disturbance current sudden change degree exceeds a preset sudden change threshold, constructing a to-be-counteracted current vector; determining a target phase lead angle according to the to-be-counteracted current vector and a preset transformer phase lag model, and generating a correction time domain compensation signal; generating a comprehensive modulation signal and an inverter switching instruction sequence to drive an inverter; updating a filter coefficient based on the distortion rate and determining a compensation voltage gain; and performing closed-loop correction on the sampling trigger time sequence of the analog current signal according to the system loop transmission delay to obtain a calibration current sequence. The method can effectively overcome the phase lag of the transformer and the transmission delay of hardware, and improve the electric energy quality under the nonlinear load.

The invention belongs to the technical field of power supply, and particularly relates to a photovoltaic power generation energy storage system switching system and a switching method, and the method comprises the steps: building an output trend prediction model and issuing an early warning signal at the initial stage of illumination change, starting the pre-charging and state self-inspection of an energy storage battery in advance, and synchronously carrying out the phase locking and voltage matching preparation of a commercial power side, a real-time monitoring network covering the whole system is constructed before switching so as to evaluate the bus stability, and then grading decreasing of photovoltaic output and synchronous power undertaking of an energy storage battery are executed after the condition is confirmed to be met, so that smooth transition between power supplies is realized. According to the method, the passive response of a traditional system after the voltage drops is avoided, the voltage fluctuation and power supply interruption in the switching process are effectively eliminated, the power supply continuity and the electric energy quality are remarkably improved, and the power utilization experience of a user and the equipment operation safety are guaranteed.

The invention provides a method and a system for evaluating, regulating and controlling operation stability and electric energy quality of an active transformer area based on edge calculation. The operation information such as low-voltage side voltage and current is collected through the area side edge calculation terminal, the indexes such as the load rate, the power factor, the three-phase unbalance degree, the voltage deviation and the voltage harmonic distortion rate are calculated, and the operation stability and the electric energy quality of the area are comprehensively evaluated after scoring according to a preset rule. And a distributed power supply, an energy storage device and a reactive power compensation device in the transformer area are regulated and controlled according to an evaluation result, so that the operation stability and the electric energy quality are improved. The method can comprehensively reflect the operation stability and the electric energy quality of the transformer area, and is beneficial to improving the operation stability and the power supply quality.

The invention discloses an electric energy quality disturbance positioning identification method based on phase perception and multi-mode fusion, and relates to the technical field of electric power system monitoring and fault diagnosis. The electric energy quality disturbance positioning identification method based on phase perception and multi-modal fusion comprises the following steps: acquiring an original voltage signal of a three-phase electric power system; extracting a sample embedding vector of each phase based on the original voltage signal, comparing the sample embedding vector with a normal sample vector, and determining a disturbance phase with power quality disturbance in combination with an adaptive threshold value; performing time sequence feature vector extraction and bispectrum image feature extraction on the disturbance phase, and performing alignment and collaborative fusion to obtain fusion features; the electric energy quality disturbance type is identified based on fusion features, phase-level positioning of the three-phase PQD is achieved, through an innovative phase perception embedding and prototype comparison mechanism, accurate and rapid positioning of abnormal phases in a three-phase system is achieved for the first time under the condition of not depending on disturbance phase labels, and the core pain point of a traditional method is solved.

The invention discloses an electric energy metering method, system and device and a storage medium, and the method comprises the steps: obtaining a voltage signal and a current signal, and carrying out the first calculation of an electric energy metering characteristic parameter based on the voltage signal and the current signal; acquiring a historical working condition database, inputting the electric energy metering characteristic parameters into a dynamic matching engine, and performing first matching on current working condition data and historical working condition data; obtaining a compensation parameter set according to the matched historical working condition data; and performing adaptive compensation on the electric energy metering characteristic parameters according to the compensation parameter set to obtain an electric energy metering value, thereby remarkably improving the metering accuracy under complex working conditions such as nonlinear load and electric energy quality disturbance.

The invention discloses a voltage regulation control method and system for an electric power regulator, and belongs to the technical field of voltage regulation, and the method specifically comprises the steps: collecting parameters of a power grid side and a load side, including current and voltage, building an operation model of the electric power regulator based on parameter identification, and according to the operation model and a target output voltage, calculating the voltage of the electric power regulator. The method comprises the following steps: calculating to obtain a reference voltage sequence in combination with electric energy quality and efficiency constraints, monitoring the states of a power grid and a load in real time, projecting the reference voltage sequence to a safe operation envelope when voltage fluctuation or abnormity is detected, performing hierarchical derating control, generating a regulation signal of the power regulator based on the corrected reference voltage sequence, and outputting the regulation signal of the power regulator. The operation model of the power regulator is calibrated through real-time feedback; the power quality and efficiency can be considered under the normal working condition, stable voltage control can be kept during power grid fluctuation, frequency deviation or load sudden change, and resource waste caused by single shutdown or extensive derating is avoided.

The invention relates to the technical field of power system power quality analysis and control, and discloses a power distribution network power quality multi-disturbance-source positioning and traceability analysis method, system and device and a medium, and the method comprises the steps: optimally configuring a monitoring point network according to a power distribution network topological structure; collecting three-phase voltage and current data of each monitoring point, and extracting multi-dimensional features after preprocessing; identifying disturbance types by adopting a hierarchical classification strategy, and separating composite disturbance; the disturbance information and the time sequence of each monitoring point are fused, and accurate space positioning of harmonic waves and transient disturbance sources is realized by combining parameters of the power distribution network; establishing a disturbance propagation model, and analyzing a propagation path and an influence range; and finally, generating a comprehensive traceability report containing a positioning result, disturbance characteristics, influence evaluation and governance suggestions, and calculating the overall traceability confidence. According to the method, the problems of accurate positioning and tracing in a multi-disturbance-source coexistence scene are effectively solved, and the positioning accuracy and the recognition reliability are improved.

The invention relates to the technical field of high-voltage commutation, and discloses a control method and system for a composite LC filter of a high-voltage converter station, and a storage medium. According to the method, on the basis of staggered solid / liquid-filled dielectric plates and series hollow inductors in a sealed oil tank, by obtaining a capacitance / inductance adjusting instruction, the filling and pumping volume and speed of insulating liquid and magnetic liquid are controlled according to the absolute value of an adjusting value, and continuous and accurate adjustment of the filtering frequency and reactive power is achieved. The method comprises multiple optimization: monitoring high fluctuation of liquid, synchronously filling, pumping and radiating, balancing efficiency and energy consumption according to an adjusting frequency adaptive circulation speed, and performing reverse linkage cooperative adjustment on a dielectric medium pump and a magnetic liquid pump; and magnetic liquid leakage and insulation abnormity are treated in stages, so that operation is guaranteed. The method solves a traditional adjustment dead zone, does not need a power electronic device, is low in cost, is small in loss, is adaptive to outdoors, and improves the electric energy quality and equipment safety of a converter station.

The embodiment of the invention relates to the technical field of intelligent control, and provides a grid-connected electric energy quality compensation control method and system for a wind turbine generator converter, and the method comprises the steps: dynamically generating a self-adaptive cooperative weight which can reflect a power grid support demand and the current capability of the converter through the real-time decomposition and evaluation of the voltage state of a grid-connected point; and furthermore, the positive and negative sequence current instructions are cooperatively generated based on the self-adaptive cooperative weight, so that the control system can perform continuous and smooth dynamic balancing between two opposite targets, optimal distribution of the capacity of the converter is realized, and finally safe and stable operation of the wind turbine generator is considered while a power grid is effectively supported and the electric energy quality is improved. And the grid-connected adaptability of the wind turbine generator under the asymmetric fault is improved.

The invention provides a grid-side current harmonic suppression method and device for a motor driving system without an electrolytic capacitor. The method comprises the following steps: determining first and second bus voltage harmonics based on bus voltage obtained by sampling and inverter switching frequency; correcting the bus voltage according to the first bus voltage harmonic wave and the second bus voltage harmonic wave so as to determine a reconstructed bus voltage; according to the second bus voltage harmonic, the reconstructed bus voltage, an inverter output three-phase duty ratio and a motor three-phase current, first and second network side current harmonic regulation and control voltages are determined based on a self-defined closed-loop controller; and adopting a motor alpha-axis correction voltage and a motor beta-axis correction voltage determined according to the first and second grid-side current harmonic regulation and control voltages to participate in motor SVPWM modulation to output the three-phase duty ratio of an inverter so as to suppress grid-side input current harmonics. According to the method and the device, factors such as motor operation conditions, bus voltage harmonic waves and digital control delay are comprehensively considered, the quality of grid-side input electric energy is improved, and disturbance to machine-side rotating speed and torque is reduced.

The invention discloses an intelligent micro-grid electric energy quality adjusting system based on hybrid energy storage, and the system comprises a hybrid energy storage unit which is used for storing and releasing adjusting electric energy; the converter module is connected with the hybrid energy storage unit and a power grid and is used for realizing conversion of alternating-current and direct-current electric energy and injection of compensation energy; the intelligent control unit is in communication connection with the converter module and the hybrid energy storage unit and is used for detecting power quality abnormity in real time and generating a compensation control instruction; the energy management system is in communication connection with the intelligent control unit and is used for formulating a long-term charging and discharging strategy of the hybrid energy storage unit based on the multi-source information; the communication and interface module is used for realizing data interaction between the units and between the system and an external network; the intelligent control unit is configured to dynamically distribute the output proportion according to the real-time electric energy quality state, the load demand and the energy storage state. The system is high in response speed, wide in adaptability, low in cost, high in integration level and convenient to expand and maintain; and meanwhile, the electric energy quality is greatly improved.

The invention relates to the technical field of harmonic suppression, and particularly discloses a ship power grid harmonic active suppression and energy management method and system, and the method comprises the steps: collecting the basic electric parameters of a ship power grid, the operation parameters of energy equipment, and the transient characteristics of a nonlinear load; and based on the collected multi-dimensional data, utilizing a deep learning hybrid model containing an attention mechanism to predict the harmonic trend and the energy demand of the ship power grid, and performing online iteration updating on model parameters according to a prediction error. According to the invention, active harmonic suppression and energy management are deeply coupled, so that conversion from passive compensation to prospective intervention is realized; the system can dynamically coordinate the strategy of harmonic treatment and energy distribution based on accurate prediction of the harmonic trend and energy demand of the power grid, and significantly improves the overall energy efficiency and operation economy of the ship power grid on the premise of ensuring that the electric energy quality strictly reaches the standard.

The embodiment of the invention provides a remote area-oriented electric energy quality comprehensive treatment method and system, and the method comprises the steps: collecting the operation parameters of a power grid through a detection module; calculating an electric energy quality index based on the power grid operation parameters, carrying out standardization processing on the electric energy quality index, and constructing a state vector; inputting the state vector into energy management software based on an improved DQN algorithm model, and generating a charging and discharging power instruction corresponding to the hybrid energy storage unit; and receiving the charging and discharging power instruction through the power conversion module, and controlling the hybrid energy storage unit and the power grid to perform energy exchange so as to realize electric energy quality treatment. According to the technical scheme provided by the invention, adaptation to a complex power grid in a remote region can be realized, a multi-dimensional power quality problem can be synergistically treated, the response speed and the system safety are improved, the power quality comprehensive index and the system operation efficiency are finally improved, and a support is provided for safe, stable and efficient operation of the power grid in the remote region.