Load balancing is a technique in which workload is distributed across multiple computers or other resources to get optimal resource utilization, minimum time delay, maximize throughput and avoid overload. Mainly in operation of parallel and distributed computing systems, load balancing problem arises. Load balancing scheme can be characterized as: static and dynamic load balancing. This paper r...

This paper presents a novel way of generating the reference currents for an active filter and/or a static compensator. A compensator structure is proposed which is capable of balancing an unbalanced delta-connected load that may also draw harmonic currents. In addition to balancing the load, the supply side power factor is also made unity. The theory of instantaneous symmetrical components is u...

Optimization plays a key role in machine learning. Recently, stochastic second-order methods have attracted much attention due to their low computational cost in each iteration. However, these algorithms might perform poorly especially if it is hard to approximate the Hessian well and efficiently. As far as we know, there is no effective way to handle this problem. In this paper, we resort to N...

Two Lagrangian formulations for describing the damped harmonic oscillator have been introduced by Bateman. For these models we construct higher derivative generalizations which enjoy l-conformal Newton-Hooke symmetry. It is shown that dynamics of generalized systems corresponds to Pais-Uhlenbeck a particular choice its frequencies.

In recent years, active filters have been considered and developed for elimation of harmonics in power networks. Comparing with passive, they are smaller and have better compensating characteristics and resistance to line distortions. In this paper, a novel idea based on adaptive filter theory in presented to develop an active filter to eliminate the distortions of an arbitrary signal. Using th...

an active antenna for transmitter application in s frequency band is designed and analyzed using harmonic balance technique which is based on the nonlinear model of active devices. in this active antenna, the amplifier is integrated with the radiator which is a rectangular patch antenna. this patch antenna is analyzed employing full-wave momentum method. by applying nonlinear model of transisto...

Optimization plays a key role in machine learning. Recently, stochastic second-order methods have attracted much attention due to their low computational cost in each iteration. However, these algorithms might perform poorly especially if it is hard to approximate the Hessian well and efficiently. As far as we know, there is no effective way to handle this problem. In this paper, we resort to N...

Distributed generation is a flexible and effective way to utilize renewable energy. The dispersed generators are quite close to the load, and pose some power quality problems such as harmonic current emissions. This paper focuses on the harmonic propagation and interaction between a small-scale wind farm and nonlinear loads in the distribution grid. Firstly, by setting the wind turbines as P – ...