The fault location in transmission systems remains a challenging problem, primarily due to the near substation ends or weak signals. In this study, an adaptive extended Kalman filter (EKF) based on maximum likelihood (ML) is proposed estimate instantaneous amplitudes of travelling waves. method, EKF algorithm used optimal states (the clean waves) with additive white noise while ML adaptively optimise error covariance matrices and initial conditions algorithm. Using singularity points waves...

Recently, various works that attempted to introduce rotation invariance point cloud analysis have devised point-pair features, such as angles and distances. In these methods, however, the is only comprised of center its adjacent points in a vicinity, which may bring information loss local feature representation. this paper, we instead connect each densely with all other neighborhood compose point-pairs. Specifically, present simple but effective representation, called sorted Gram...

Industrial Metaverse leverages the Internet of Things (IIoT) to integrate data from diverse devices, employing federated learning and meta-computing train models in a distributed manner while ensuring privacy. Achieving an immersive experience for industrial necessitates maintaining balance between model quality training latency. Consequently, primary challenge tasks is optimizing overall system performance by balancing This paper designs satisfaction function that accounts size, Age...

Abstract The accurate prediction of photovoltaic power is conducive to the dispatch system, and can provide support for decision peak frequency modulation grid. Based on above considerations, this paper proposes a data-driven distributed method, which uses artificial neural network clarify mapping relationship between meteorological temporal data data, thus improving accuracy through classification. In convolutional methods, time series are organized in 2D form.

This paper presented an expandable grid-connected power quality compensator with distribution generation interface for three-phase three-wire system. The proposed system not only can control the active flow, but also mitigate load unbalance, harmonics, and manage reactive power. simultaneously perform two functions of station filter or either one. To make more flexible, grid current, instead output current converter, is shaped to be a sinusoidal in phase voltage. reference currents are...

Faulty phase recognition under single-line-to-ground (SLG) fault condition is critical for some arc suppression methods in medium voltage (MV) networks. Traditional usually assume that the distributed parameters of network are symmetrical, thus unsuitable asymmetrical networks, especially when ground-fault resistance relatively high. In this paper, trajectory zero-sequence with change conductance analyzed detail. The magnitude and angle variation rules different asymmetry ratios presented....

A hybrid particle swarm optimisation (PSO) and genetic algorithm (GA) aided Kalman filter (PSO‐GA‐KF) method for dynamic harmonic state estimation in the power system is investigated. The initial choice of states KF's parameters, such as process measurement error covariance matrices significantly affects precision. Aiming at this problem, a combination PSO GA (PSO‐GA) proposed to optimise parameters. In algorithm, by replacing gene mutation operator GA, PS constructed, which can adjust...

With the existence of virtual impedance, load harmonic currents would decrease detection accuracy fundamental power calculated in DQ method, thus influence performance droop control system microgrid inverters. Quantitative analysis error is conducted and general expressions inverter output presence impedance are established. The concept proposed to approximately describe error. Furthermore, small signal stability method applied present a detailed as taken into consideration. indicates that...

This paper presents the estimated residuals for detecting traveling wave front using an adaptive extended Kalman filter based on maximum likelihood (EKF-ML), which uses method to adaptively optimize error covariance matrices and initial conditions. In some situations, such as faults close bus or zero inception angle, with high fault resistances, transient waves can become weak even lost in noise, makes discrimination of more difficult. Aiming at this, between observed values EKF exhibit...

Classifying power quality (PQ) disturbances is one of the most important issues for PQ control. The S-transform (ST)-based neural networks in conjunction with Kalman filter based on maximum likelihood (KF-ML) are presented classification disturbances. To accurately extract features high-noise cases, KF-ML used to remove noise from original distorted waveform. Then, ST technique significant Finally, a classifier multilayers feedforward can recognise various types Six simulated single and six...

Lightning strikes are the significant cause of transient, faults, and outages in electric power transmission distribution systems. The double-exponential function is proposed to simulate decaying part measured lightning current. transient characteristic difference (such as gradient waveform) between common fault current described this paper. Thus, criterion, which compare peak value with amplitude at following 200 μs, distinguish short-circuit stroke fault. traveling wave location method,...

Abstract A novel design of a multi-level shunt active power filter using modular cascade H-bridge is presented in this article. The proposed approach enables the filter. As an illustration, five-level with switching strategy has been implemented. able to reduce voltage stress across inductor and average frequency. Proportional plus integral controllers have implemented for current control loop, overall balancing loop. feedforward controller also added loop improve tracking. By delaying...

Circular thin-plate electrostatic sensors are promising in gas path monitoring due to their advantages of non-intrusiveness and easy installation. The spatial sensitivity filtering effect two important performance parameters. In this paper, an analytically mathematical model induced charge on a circular electrode is first derived. Then the sensor investigated by numerical calculations. Finally, experimental studies performed testify theoretical results. Both results demonstrate that act as...

Electrostatic sensors are key components of electrostatic monitoring systems. Their sensitivity characteristics have a direct influence on accuracy. In previous studies, spatial sensitivity, which is called static here, was used to describe the characteristics. However, it only reflects basic relationship between charged particles and induced charges an sensor’s probe. Besides, as three-dimensional defined parameter, difficult build unified model if actual boundary conditions considered....

This article proposes a decoupling control method to eliminate frequency coupling in three-phase grid-tied system. Firstly, the admittance model of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LCL</i> -type converter (GTC) considering DC-bus voltage (DVC) loop and phase-locked (PLL) is established xmlns:xlink="http://www.w3.org/1999/xlink">dq</i> -domain frame, influence asymmetrical DVC PLL structure on oscillation analyzed. Then factors...