70 results about "Voltage distortion" patented technology

The invention relates to the technical field of online calibration, in particular to a multi-parameter fusion intelligent electric energy meter online calibration method and system, and the method comprises the following steps: collecting voltage waveforms, current harmonics and active power data, dividing windows, calculating a covariance matrix, and generating a feature set; a power factor curvature extreme value and a temperature inflection point offset are analyzed to generate an interference identifier, current density distribution and a voltage distortion spectrum are jointly analyzed to extract a harmonic energy ratio to generate a feature vector, and phase compensation is performed on a pulse sequence to generate a calibration instruction set. According to the method, the covariance matrix is constructed by synchronously collecting voltage and current power parameters, the abnormal mark section is generated by combining the temperature change and the covariance difference value, the environment disturbance and the real deviation are effectively distinguished, and the temperature hysteresis effect is identified through the power factor curvature extreme value and the temperature inflection point offset. And combining current density and voltage distortion spectrum analysis to extract a fundamental wave and harmonic wave energy ratio, establishing a composite calibration reference, and dynamically adjusting a pulse duty ratio to realize harmonic wave energy compensation.

The invention relates to the technical field of electrical equipment monitoring, in particular to a power distribution equipment state intelligent diagnosis system and method, and the system comprises a current fluctuation detection module, a voltage stability evaluation module, a heat effect diffusion analysis module, a fault point positioning module and an equipment state evaluation module. According to the invention, through extracting current change characteristics of key nodes and judging continuity of fluctuation differences, rapid identification of current anomalies can be realized, a voltage distortion region and a distribution range thereof can be positioned in combination with phase deviation and symmetry change of voltage waveforms, and the current anomalies can be identified based on a temperature gradient path and jump point screening. A hot spot diffusion trend and a thermal disturbance boundary can be described, morphological analysis and coordinate labeling are performed on the basis of multiple fault areas, multi-point concurrent positioning is realized, association between thermal disturbance and connection defects is identified in combination with temperature difference and current path change characteristics, fault diffusion trends and state disturbance blocks can be accurately presented, and the accuracy of fault diagnosis is improved. And the power distribution state identification and intervention efficiency is improved.

The invention discloses a GaN totem-pole bridgeless PFC converter harmonic suppression method based on adaptive virtual admittance, and belongs to the technical field of converter control. The invention aims to solve the problem that LC resonance in a GaN totem-pole bridgeless PFC converter in a wide load range causes power grid voltage distortion to be converted into grid-side current harmonics. Comprising the following steps: decoupling a virtual admittance vector in a polar coordinate system, and optimizing under different load working conditions to obtain an optimal virtual admittance set; the system delay influence is compensated to ensure the robustness of the proposed method under different operation conditions; and a load power adaptive virtual admittance mechanism is constructed based on a segmented cubic Hermite interpolation method, so that suppression of network-side specific current harmonics in a wide load range is realized. The self-adaptive suppression method is used for self-adaptive suppression of the grid-side current harmonics of the GaN totem-pole bridgeless PFC converter.

The invention provides a capacitance compensation method and device for a withstand voltage and partial discharge test of an extra-high voltage shunt reactor, and belongs to the field of reactor capacitance compensation, and the method comprises the steps: obtaining a winding inherent capacitance parameter, separating a high-frequency component from a low-frequency component, analyzing a space coupling path, and calculating a temperature and humidity induced variable capacitive reactance offset. A collaborative capacitance parameter matrix is generated after weighted fusion, a nonlinear polarization attenuation factor is introduced and dynamically calibrated, a capacitance compensation reference model is established, and compensation is executed through a multi-stage compensation device. According to the invention, through dynamic modeling, accurate capacitance compensation, voltage distortion suppression and improvement of partial discharge detection sensitivity, the problems of insufficient compensation precision and poor adaptability in the prior art are solved.

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 smart power grids, and provides a low-voltage power distribution network transparent fusion perception visual scene construction method and system, and the method comprises the steps: synchronously collecting voltage, current and equipment state data through power line carrier communication, a smart electric meter and a power distribution terminal, and building an annular queue with aligned time marks; a tree topology structure is constructed based on three-phase attributes, a connection matrix is generated, users are divided into visualization hierarchies with different transparencies through electrical distance calculation, and gradient coloring and special effect warning of an overload line are achieved in combination with current saturation mapping. The physical position and the electrical parameters are fused through polar coordinate system conversion, and a dynamic particle flow is generated to visually display current distribution; when the voltage sags, a voltage distortion propagation path is analyzed through waveform similarity backtracking, a disturbance source is positioned, and a pulse diffusion animation is triggered. Transparent fusion sensing of the running state of the low-voltage power distribution network, real-time early warning of line overload and second-level positioning of a disturbance source are achieved, and the intelligent operation and maintenance efficiency is improved.

The invention discloses a power grid parameter self-adaptive detection method suitable for a voltage distortion working condition of a wind power generation system. The method comprises the steps of 1, initializing a voltage estimation value according to priori knowledge of power grid voltage; step 2, sampling through a sensor to obtain a power grid voltage containing harmonic waves and direct current components; 3, calculating an estimation error according to the power grid voltage sampling value; 4, designing a self-adaptive observer, and estimating an intermediate variable; 5, updating the voltage estimation value according to the intermediate variable obtained in the step 4; step 6, estimating the power grid voltage of the harmonic component and the direct current component of the voltage by using the intermediate variable obtained in the step 4; and step 7, repeating the step 2 to the step 6, continuously updating the parameter estimation value, and obtaining the real-time parameter of the power grid voltage. According to the invention, when the voltage of the power grid is distorted, the voltage parameter can still be accurately detected, the harmonic and direct current components are separated and extracted under the condition of no steady-state error, and the safe and stable operation of a power system is ensured.

The invention discloses an optimized virtual vector modulation strategy of a T-type three-level inverter, which is characterized in that a sector is re-divided based on the virtual vector modulation strategy, a synthesis mode of a virtual vector is optimized, a low-amplitude common-mode voltage vector is adopted to synthesize the virtual vector, on one hand, common-mode voltage generated by the inverter can be inhibited, and on the other hand, the common-mode voltage generated by the inverter can be inhibited; and on the other hand, the optimized modulation method does not influence the neutral point potential, the smoothness of the direct output voltage of the inverter is improved, the voltage quality is improved, and the method has the advantages of low harmonic content of the output current and the like. In addition, the method solves the problems of inverter output voltage distortion, common-mode voltage spike and the like caused by a dead zone effect through a voltage vector compensation method, and has guiding significance for improving the reliability of a photovoltaic system and a micro-grid system.

The invention belongs to the technical field of power generation and power supply, and particularly relates to a power distribution network electric energy quality monitoring and comprehensive evaluation method and system, and the method comprises the steps: obtaining an environment reference parameter, three-phase voltage data, three-phase current data, transformer harmonic current and transformer harmonic current times; calculating a transformer voltage distortion rate and a transformer total current which represent the overall level of the electric energy quality; calculating a harmonic erosion index representing the load side harmonic frequency spectrum complexity; calculating a thermal harmonic coupling degree used for judging a high temperature generation reason; calculating a power grid health score; grading the operation state of the power grid; judging the fault type; and issuing adjustment instructions to different fault types. The technical problem that the dynamic coupling relation between the harmonic form and the equipment thermal state cannot be evaluated in the prior art is effectively solved.

The invention discloses a power distribution network harmonic suppression method based on virtual admittance of a photovoltaic grid-connected inverter, and the method comprises the following steps: generating a harmonic compensation current through the photovoltaic grid-connected inverter, constructing a virtual admittance control mechanism based on the harmonic compensation current, and obtaining a mapping relation between a virtual admittance value and a phase angle on the harmonic suppression effect; modeling a photovoltaic grid-connected inverter of the power distribution network, and constructing a virtual admittance regulation mechanism of the power distribution network; and based on a virtual admittance control mechanism, taking each virtual admittance parameter as an optimization variable, and carrying out a multi-photovoltaic grid-connected inverter collaborative optimization strategy to realize graded treatment of power distribution network harmonics. According to the method, a virtual admittance control mechanism is constructed, and a photovoltaic grid-connected inverter is equivalent to earth admittance; and harmonic fractional compensation and global optimization configuration are realized by combining sensitivity analysis of voltage distortion of each node. The problem that the VDAPF only adjusts through harmonic conductance and neglects the impedance characteristic of the power distribution network and the uncertainty of the harmonic phase is solved, and the harmonic compensation capability is remarkably improved.

This application provides a DC boost grid connection method, system, device, equipment, medium, and product, relating to the field of new energy grid connection. The method employs a cascaded topology of H-bridge modules to dynamically adjust the DC voltage output of the photovoltaic array according to the light intensity to match the light conditions. Simultaneously, it dynamically adjusts the number and switching times of the H-bridge modules based on the grid voltage demand, ensuring that the peak value of the multi-level AC voltage output by the adjusted H-bridge module group matches the voltage demand. Furthermore, it actively constrains the harmonic distortion rate and amplitude fluctuation rate of the output voltage to be below preset thresholds. Without requiring a power frequency boost transformer and a large-capacity inverter, it achieves direct boost grid connection from photovoltaic DC to high-voltage AC. It also solves the voltage distortion and amplitude fluctuation problems that easily occur during the dynamic adjustment of the number of modules, improving grid-connected power quality and system operational stability, and reducing the cost of the photovoltaic DC boost grid connection system.

The present disclosure relates to a method and device for monitoring the energy-saving operation of power quality based on multi-source data of AI Internet of Things. The method includes: acquiring the transient electromagnetic signal of a permanent magnet operated circuit breaker and extracting the timing characteristic parameters of the transient electromagnetic signal; determining whether there is a harmonic problem caused by an inverter and whether there is a voltage sudden rise or sudden drop, and determining whether the timing characteristic parameters are related to power quality disturbances; obtaining the voltage mutation amplitude and the voltage sudden rise rate to obtain the voltage fluctuation degree, and outputting the discharge strategy of the energy storage system through a pre-established discharge optimization model; respectively calculating the voltage distortion rate and the three-phase voltage unbalance degree, and selecting the charging strategy of the energy storage system through a pre-established charging optimization model; predicting the sudden rise rate and sudden drop rate of the sample, obtaining a prediction result, and forming an energy-saving optimization scheme for the energy storage charge and discharge strategy according to the prediction result; The present invention automatically adjusts the charge and discharge power of the energy storage battery to form an energy-saving optimization scheme, effectively improving the stability of the power grid.

The invention discloses a dead-zone predictive current control method for a dual three-phase permanent magnet synchronous motor, which is based on a dual three-phase permanent magnet synchronous motor driving system and comprises the following steps of: 1, providing a method for compensating the nonlinearity of an inverter on line, and compensating the nonlinearity of the inverter through current injection; and step 2, designing a DPHCC method based on an extended state observer (ESO) so as to eliminate the interference of parameter mismatching and unmodeling. According to the method, the voltage distortion error can be determined without machine parameter priori knowledge, the DPHCC scheme is realized in the harmonic subspace to suppress the harmonic current, and the interference of non-modeling on the harmonic plane is estimated and compensated by designing the ESO, so that the robustness of the system is enhanced.

The present application belongs to the field of power electronics technology, and specifically discloses a voltage compensation method and device for a cascaded multi-level inverter. In the present application, the predicted value of the output current of each H-bridge inverter module in the cascaded multi-level inverter is used to compensate the turn-on angle and turn-off angle of each H-bridge inverter module respectively, and the phase shift control signal of each switching device in the H-bridge inverter module is distributed according to the compensated turn-on angle and turn-off angle, thereby effectively compensating for the PWM voltage distortion caused by the dead zone effect and the switch parasitic capacitance effect. In addition, the present application does not need to detect the output current of the H-bridge inverter module, eliminating the current detection hardware and optical fiber communication delay time. In the high-frequency cascade topology, the low-order harmonics introduced by the dead zone effect and the switch parasitic capacitance effect can be effectively suppressed, significantly improving the waveform quality.

This invention discloses a predictive maintenance system for medical X-ray equipment, belonging to the field of medical equipment maintenance technology. It includes a multi-source data acquisition module, a feature construction module, a coupled degradation modeling module, a risk assessment module, and a maintenance strategy generation module. Based on voltage distortion rate, current harmonic components, and temperature field gradient, this invention extracts the standard deviation of voltage distortion rate, the total distortion coefficient of current harmonics, and the rate of change of temperature gradient after denoising using wavelet thresholding, and fuses them into a feature vector. Combining a long short-term memory network and a Bayesian network, it calculates a comprehensive degradation index of multi-parameter coupling; subsequently, it constructs a multi-parameter feature space and outputs a comprehensive risk level through unsupervised learning methods; finally, it generates targeted maintenance strategies based on the risk level and optimization algorithms. This invention achieves accurate prediction and intelligent maintenance of medical X-ray equipment faults, reduces sudden failures, lowers maintenance costs, and improves equipment operational reliability and diagnostic and treatment safety.

The invention discloses a medical X-ray equipment fault predictive maintenance system, and relates to the technical field of medical equipment maintenance. Comprising a multi-source data acquisition module, a feature construction module, a coupling degradation modeling module, a risk judgment module and a maintenance strategy generation module. The method comprises the following steps: based on a voltage distortion rate, a current harmonic component and a temperature field gradient, extracting a voltage distortion rate standard deviation, a current harmonic total distortion coefficient and a temperature gradient change rate after de-noising through a wavelet threshold method, and fusing into a feature vector; calculating a multi-parameter coupled comprehensive degradation index in combination with a long short-term memory network and a Bayesian network; then constructing a multi-parameter feature space, and outputting a comprehensive risk level through an unsupervised learning method; and finally, a targeted maintenance strategy is generated based on the risk level and an optimization algorithm. According to the invention, accurate prediction and intelligent maintenance of faults of the medical X-ray equipment are realized, sudden faults are reduced, the maintenance cost is reduced, and the operation reliability and diagnosis and treatment safety of the equipment are improved.

This invention belongs to the field of power generation and supply technology, specifically relating to a method and system for monitoring and comprehensively evaluating the power quality of distribution networks. The method includes: obtaining environmental reference parameters, three-phase voltage data, three-phase current data, transformer harmonic current, and transformer harmonic current order; calculating the transformer voltage distortion rate and total transformer current, which characterize the overall power quality level; calculating the harmonic erosion index, which characterizes the complexity of the harmonic spectrum on the load side; calculating the thermal harmonic coupling degree used to determine the cause of high temperatures; calculating the grid health score; classifying the grid operating status into levels; determining the fault type; and issuing adjustment commands for different fault types. This invention effectively solves the technical problem that existing technologies cannot assess the dynamic coupling relationship between harmonic morphology and equipment thermal state.

The invention relates to the technical field of three-phase systems, and provides a three-phase voltage state estimation method and system based on virtual coordinates, and the method comprises the steps: calculating the voltage peak value of each phase for three-phase voltages, and determining that a phase is open if the peak voltage of a certain phase is lower than a threshold value in the three peak voltages; for three-phase voltage, virtual beta-axis voltage is generated through an all-pass filter, actual beta-axis voltage is obtained through Clark transformation, the product of the virtual beta-axis voltage and the actual beta-axis voltage serves as an evaluation function, and a positive sequence and a negative sequence are distinguished according to the positive and negative of the evaluation function. The system state can be accurately and effectively judged under the conditions of three-phase imbalance and voltage distortion, the anti-noise capability and the anti-harmonic interference capability are high, and safe and stable operation of equipment under the abnormal condition is ensured.

The invention relates to the technical field of anomaly detection, in particular to a substation equipment anomaly detection method based on deep learning. Comprising the following steps: determining whether the operation of a single secondary device is qualified based on a voltage distortion rate, marking the unqualified secondary device as an abnormal device, and determining whether the operation of the secondary device is qualified based on a frequency deviation for the secondary device whose voltage distortion rate is greater than a second preset voltage distortion rate and less than or equal to a first preset voltage distortion rate, unqualified secondary equipment is marked as abnormal equipment, and the secondary equipment is a relay protection device; based on the disqualification ratio, determining that the reason for disqualification of the test process is preset matching degree abnormity or secondary equipment detection abnormity; adjustment is correspondingly carried out according to reasons for disqualification of the test process; according to the invention, the equipment abnormity detection efficiency is effectively improved.

1. The name of the design product: active filter. 2. The use of the design product: for inhibiting AC voltage distortion and current harmonics. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The invention is suitable for the technical field of electric energy metering, and relates to an electric energy metering method and device of an electric energy meter. Corresponding fundamental wave voltage current components, harmonic wave voltage current components, corresponding fundamental wave phase angles and harmonic wave phase angles are extracted, and based on the data, fundamental wave positive sequence active power, reactive power, non-fundamental wave equivalent apparent power, voltage distortion power, current distortion power, harmonic wave apparent power, unbalanced apparent power and the like are obtained through calculation; various electric parameters of the electric energy meter are metered so as to guide an electric power department to charge, make economic decisions, measure main harmonic pollution sources and the like, and the quality of electric power service is greatly improved.

The utility model discloses a kind of electric energy quality DNV voltage distortion rate elimination stabilizer and sampling circuit, including load equipment and for the DVA voltage stabilizer on the load equipment, still including with the DVA voltage stabilizer and the load equipment electric connection A circuit, B circuit, C circuit and N circuit.The beneficial effect of the utility model is: through filter current transformer, voltage stabilizer current transformer and DVA voltage stabilizer, realize the process in the use of load equipment, inhibit load equipment dynamic and steady-state voltage drop and voltage variable, eliminate surge, eliminate voltage flicker, with good dynamic voltage stability capacity, output voltage reaches precision ±1% -5% adjustable, can effectively filter each harmonic, three-phase unbalance, improve power factor, improve power supply electric energy quality, and harmonic elimination stabilizer has ideal energy-saving effect, between 1-8% in different field energy-saving effect.

The invention provides a compensation method, a digital circuit, electronic equipment and a computer readable storage medium, and the method comprises the steps: 1), adjusting the size of a load capacitor of a to-be-compensated digital circuit, and carrying out the simulation, and obtaining a corresponding output voltage waveform; 2) calculating a voltage conversion rate, and removing the load capacitance corresponding to the voltage conversion rate smaller than a set value; 3) selecting capacitance values of N load capacitors in the reduced value range and simulating the capacitance values; 4) establishing a linear regression equation based on each output voltage waveform in the step 3), and establishing a corresponding relation with the voltage surge; and (5) setting the capacitance value of the load capacitor according to the requirement, and realizing the compensation for the distortion of the output voltage. According to the invention, a mode of externally hanging the load capacitor is adopted, the problem that transient voltage signals and voltage conversion speed are mutually restrained is solved, and compensation of signal distortion is realized; the capacitance value of the load capacitor can be visually, simply and conveniently determined; and the method is suitable for a single gate-level circuit and a digital circuit module with a multi-level gate-level circuit.

The present application provides a capacitance compensation method and device for withstand voltage and partial discharge testing of ultra-high voltage shunt reactors, belonging to the field of reactor capacitance compensation. The method includes obtaining the inherent capacitance parameters of the winding, separating the high-frequency and low-frequency components, analyzing the spatial coupling path, calculating the temperature and humidity-induced capacitance offset, generating a collaborative capacitance parameter matrix after weighted fusion, introducing a nonlinear polarization attenuation factor and dynamically calibrating it, establishing a capacitance compensation benchmark model, and performing compensation through a multi-stage compensation device. Through dynamic modeling, the present application accurately compensates capacitance, suppresses voltage distortion, and improves the sensitivity of partial discharge detection, solving the problems of insufficient accuracy and poor adaptability of traditional compensation.

The embodiment of the invention provides a direct-current boost grid connection method, system, device, equipment, medium and product, and relates to the field of new energy grid connection, the method adopts an H-bridge module group cascade topology structure to dynamically adjust the direct-current voltage output by a photovoltaic array according to the illumination intensity so as to enable the direct-current voltage to be matched with the illumination condition, and the direct-current boost grid connection is realized. Meanwhile, the input number and the switching time of the H-bridge modules are dynamically adjusted according to the voltage requirement of the power grid, so that the multi-level alternating-current voltage peak value output by the adjusted H-bridge module group is matched with the voltage requirement, and the harmonic distortion rate and the amplitude fluctuation rate of the output voltage are actively restrained to be lower than preset threshold values; on the premise that a power frequency boosting transformer and a large-capacity inverter do not need to be configured, direct boosting grid connection from photovoltaic direct current to high-voltage alternating current is achieved, meanwhile, the problems of voltage distortion and amplitude fluctuation which are prone to occurring in the dynamic adjustment process of the number of modules are solved, the grid-connected electric energy quality and the system operation stability are improved, and the system reliability is improved. And the cost of the photovoltaic direct-current boost grid-connected system is reduced.

The invention provides an SVG self-synchronization control system and method based on active disturbance rejection control. The system comprises an active power reference value calculation module, a power calculation module, an active power synchronization loop module, a reactive power-AC voltage outer loop module, a positive sequence current component control loop module, a negative sequence current component control loop module and a pulse generation module. By adopting modules such as an active power synchronous ring for active disturbance rejection control, internal and external disturbances under complex working conditions such as power grid faults and voltage distortion are effectively suppressed, and the stability and dynamic response performance of the system in a transient process are improved. The synchronization performance of the SVG under the fault working condition can be improved, and the safety and stability of a power grid are improved.

This invention relates to the field of motor control technology, particularly to applications requiring low vibration and high efficiency in underwater propulsion motors. Specifically, it provides a method for suppressing low-order harmonic torque and high-frequency harmonic current in underwater propulsion motors. This invention switches control modes according to changes in the motor's operating frequency, meeting not only the low-noise requirements for low-speed navigation but also improving controller efficiency for high-speed navigation. When the underwater propulsion motor operates at low speed, harmonic compensation of the line current suppresses low-order harmonics generated by the motor body and controller, thereby reducing electromagnetic force pulsation caused by harmonics. Furthermore, by significantly increasing the switching frequency using silicon carbide power devices, it suppresses phase voltage distortion caused by pulse width modulation technology, improves the sinusoidal nature of the output voltage, and reduces harmonic torque. When the underwater propulsion motor operates at high speed, the output current is large; by reducing the switching frequency, the switching losses of the power devices are reduced, improving the efficiency of the controller in the propulsion system.

The invention discloses a self-adaptive dead zone compensation method for a servo driver. The method comprises the following steps: step 1, building a motor three-phase current acquisition circuit and acquiring three-phase current in real time; step 2, current polarity discrimination based on hysteresis comparison; 3, reconstructing a dead-zone voltage error vector in real time; 4, dynamically adjusting the self-adaptive compensation coefficient; 5, direct correction and compensation injection of a PWM duty ratio instruction are carried out; and step 6, loop iterative optimization and full-working-condition real-time compensation are carried out. The method has the advantages that the non-ideal voltage deviation caused by the inherent switching dead time of the voltage source type inverter is accurately offset. The dead-zone effect comes from physical characteristics of power electronic devices, and aims to prevent straight-through short circuit of power tubes of upper and lower bridge arms of an inverter and unexpected voltage distortion of motor end voltage in an actual process. The objective of the invention is to recover the ideal waveform of the motor terminal voltage and improve the current tracking precision, the torque stability and the low-speed performance.

This invention provides a method and apparatus for selecting the location of an active harmonic mitigation device for radial distribution networks, belonging to the field of power quality management technology. The method includes: acquiring equipment parameters of each branch of the distribution network; determining the harmonic impedance of each branch based on the equipment parameters, and calculating the influence coefficient of each nonlinear load branch's harmonics on the distribution network's harmonic voltage; calculating the contribution rate of each nonlinear load branch's harmonics to the voltage distortion of the distribution network based on the influence coefficients of all nonlinear load branches; determining the numerical distribution characteristics of the voltage distortion contribution rate corresponding to all nonlinear load branches based on the coefficient of variation and a threshold; and determining the optimal location of the active harmonic mitigation device based on the numerical distribution characteristics, the expected minimum target for harmonic mitigation, and the voltage distortion contribution rate corresponding to each nonlinear load branch. This invention can solve the problem of difficult location selection for harmonic mitigation devices in radial distribution networks where harmonic sources are dispersed.

The invention provides a power distribution method and system of an energy storage system based on a GSA-GWO algorithm. In the method, a stable control model of the energy storage system is constructed by taking the minimum voltage deviation and voltage distortion rate of all nodes in a target power system as a target; constructing an optimization control model of the energy storage system by taking the minimum active power network loss rate of the target power system and the minimum new energy station loss rate of the node as targets; improving a grey wolf optimization algorithm by using a genetic annealing algorithm, and solving a stability control model and an optimization control model of the energy storage system by using the improved grey wolf optimization algorithm; and performing power distribution on the energy storage system according to the solved stability control model and optimization control model. The control strategy provided by the invention effectively improves the new energy consumption, gives full play to the adjustment effect of the energy storage system, and is beneficial to guaranteeing the flexible and reliable operation of the power distribution network.