Novel and faster strategy for effective control of single phase DVR

S. Sontakke, M. Ghat
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Abstract

Due to evolution in the power system, the emergence of smaller generating systems such as micro turbines, Wind Turbines, Solar PV system, etc., have opened new opportunities for onsite power generation which is located at user's site called Distributed Energy Resources (DER). The significant potential of DER to meet customers need and utilities independently can be captured by organizing these resources into Microgrid. With the ever increasing use of Power Electronics devices, Power Quality has become a major concern for utility operators as well as consumers. Power Quality mainly affect due to disturbances like voltage sag, swell, transients (oscillatory and impulsive) momentary interruptions, harmonics, flicker etc. This necessitates monitoring and estimation of these disturbances continuously so that it can be corrected almost instantly. The different methods for power quality indices estimation are RLS, LMS, LES, FFT, Kalman Filter, Wavelet Transform, etc. In this paper very simple and thus faster, Modified Recursive Gauss Newton (MRGN) algorithm for power Quality estimation is used. This estimation is done for the output terminals of the DG and it is further used for a simple control strategy of single phase Dynamic Voltage Restorer (DVR), a series compensating device for power quality improvement in terms of Voltage Sag, Swell and Harmonics during supply disturbances.
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单相DVR的快速有效控制策略
由于电力系统的发展,小型发电系统的出现,如微型涡轮机、风力涡轮机、太阳能光伏系统等,为位于用户现场的分布式能源(DER)现场发电提供了新的机会。通过将这些资源组织到微电网中,可以捕捉到DER在满足客户需求和独立公用事业方面的巨大潜力。随着电力电子设备使用的不断增加,电能质量已成为公用事业运营商和消费者关注的主要问题。电能质量主要受电压凹陷、膨胀、瞬态(振荡和脉冲)瞬时中断、谐波、闪烁等干扰影响。这就需要持续地监测和估计这些干扰,以便几乎可以立即加以纠正。电能质量指标估计的方法有RLS、LMS、LES、FFT、卡尔曼滤波、小波变换等。本文采用改进递归高斯牛顿(MRGN)算法进行电能质量估计,算法简单、快速。该估计是对DG的输出端进行的,并进一步用于单相动态电压恢复器(DVR)的简单控制策略,DVR是一种用于改善电源干扰期间电压凹陷、膨胀和谐波方面的电能质量的系列补偿装置。
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