Hysteresis current controllers having fixed bands are used in inverters of high-performance AC drives. The switching frequency such varies over the fundamental period modulating signal. maximum (MSF) these is high. To limit MSF within inverter switches, carrier lockouts usually incorporated. incorporation causes distortion, and load currents do not confine predetermined band. In this paper, two new proposed. One a mixed-mode controller sinusoidal band added to band, other an equidistant-band...

Wind power forecasting plays a vital role in renewable energy production. Accurately wind is significant challenge due to the uncertain and complex behavior of signals. For this purpose, accurate prediction methods are required. This paper presents new hybrid approach principal component analysis (PCA) deep learning uncover hidden patterns from data forecast power. PCA applied extract features identify meaningful information. It also used remove high correlation among values. Further, an...

Wind power is a sustainable green energy source. Power forecasting via deep learning essential due to diverse wind behavior and uncertainty in geological climatic conditions. However, the volatile, nonlinear intermittent of makes it difficult design reliable models. This paper introduces new approach using variational auto-encoding hybrid transfer forecast for large-scale regional windfarms. Transfer applied windfarm data collections boost model training. multiregional windfarms consist...

In the rapidly unpredictable economic and environmental era, Arctic region stands at a pivotal crossroads. Globally, rise in carbon emission (CEM) has continued to escalate recent decades. Still, extant analyses have not sufficiently investigated variables contributing CEM dissipation, particularly Council. Therefore, this paper closes knowledge gap by assessing influence of technology (EVT), policy uncertainty (EPU), renewable energy transition, urban transition on CEM. Moreover, study...

Accurate wind power forecasting is critical for system integration and stability as renewable energy reliance grows.Traditional approaches frequently struggle with complex data non-linear connections.This article presents a novel approach hybrid ensemble learning that based on rigorous requirements engineering concepts.The finds significant parameters influencing accuracy by evaluating real-time Modern-Era Retrospective Analysis Research Applications (MERRA2) from several European Wind farms...

A simple and novel strategy for damping subsynchronous resonant oscillations through control of converter firing angles a superconducting magnetic energy storage system (SMES) is proposed. The derived such that the current injected or drawn by SMES compensates any deviation in real reactive power system. proposed has been tested on IEEE second benchmark model resonance studies. It found to eliminate slowly growing transients resulting from unstable modes very effectively. algorithm its...

With the introduction of 4G/5G Internet and increase in number users, malicious cyberattacks on computing devices have been increased making them vulnerable to external threats. High availability windows servers are designed ensure delivery consistent services such as business activities e-services their customers without any interruption. At same time, a cyberattack clustered computer can put customer danger. A memory dump mechanism capture contents event system or device crash corrupted...

Dry band formation on the surface of outdoor insulators is one main reasons leading to flashover and power outages. In this paper, a dynamic arc model proposed for single multiple dry bands configuration predict critical voltage silicone rubber insulators. An modelled as time dependent impedance consisting Resistor Inductor Capacitor (RLC) circuit. The effect location existence investigated. To validate model, experiments were conducted in climate chamber under controlled environmental...

Wind power forecasting plays a key role in the design and maintenance of wind generation which can directly help to enhance environment resilience. Offshore has become more challenging due their operation harsh multi-faceted environment. In this paper, data generated from offshore turbines are used for purposes. First, fragmented is filtered Deep Auto-Encoding select high dimensional features. Second, mixture CNN LSTM models train prominent features further improve accuracy. Finally,...

An analytical basis is established in this paper for a programmed function of known amplitude to be added the feedback path hysteresis current controller (HCC) static power inverter. Improper and slope carrier waveform modulated HCC frequently encounter problem sudden high frequency switching. Though intuitive approaches exists tackle practically, proper has not been so far. This deals with solving analytically, that implementation such scheme an inverter operation can done systematically...

After the rapid advancement in field of power electronics devices and drives for last few decades, there are different kinds Pulse Width Modulation techniques which have been brought to market. The applications ranging from industrial appliances military equipment including home appliances. vey common application PWM is three phase voltage source inverter, used convert DC AC homes supply house case electricity failure, usually named as Un-interrupted Power Supply. In this paper Space Vector...

This work addresses a new method for autoregressive (AR) parameter estimation from colored noise-corrupted observations using damped sinusoidal model the autocorrelation function of noise-free signal. The parameters are first estimated least-squares based given noisy observations. AR then directly obtained parameters. performance proposed scheme is evaluated numerical examples.

The concept of lightly ferromagnetic rotor bars to improve the starting performance squirrel-cage induction motors is presented in this paper. Although machines are popular for their ruggedness and simplicity, torque low current 5-8 times higher than rated current. A simple solution problem introduction new rotor-bar material with properties, which turn improves power factor due enhanced skin effect. Relevant electromagnetic theory supporting e computer simulation also produced expected...

We present a case of successful removal aural foreign bodies from the external otic canal. In this scenario, were an uncommon insect, Cardiocondyla. The Cardiocondyla species is within family Formicidae, otherwise known as ant. patient was seen in remote location, refugee camp Jerash, Jordan, with limited resource accessibility. insects and all body contents successfully debrided gentle irrigation. This presents opportunity to evaluate alternative insect technique when resources are not...

The integrator of the modulator in a delta modulated (DM) inverter control scheme greatly affects voltage waveform patterns, fundamental and spectral components. performance DM with different types filters suffers from low voltage. Previous schemes could not provide equal to supply pulse dropping phenomena occurs as modulating frequency is increased. To overcome these problems, dual slope integrating (DSI) filter proposed this paper. introduction DSI loop gives at 100% modulation index....

In this paper, an active power filter module is described. The used for conditioning line current of a six-pulse static converter. proposed performs two simultaneous duties: it minimizes the supply harmonics, generated by converter, and compensates reactive fundamental component current. Line waveforms depicted when using proved effectiveness module.

A simple prefiltering technique in the autocorrelation of a noisy signal Fourier domain has been presented here to identify system parameters using high-order Yule-Walker (HOYW) equations. Presence noise is main reason for failure conventional identification techniques at low ratio (SNR). As modes are observed spectrum sequence, proper threshold reduces randomly distributed spectra leaving significant portion peaks undistorted. Reconstruction sequence from filtered unwanted fluctuations...