Earticle

초록

영어

This paper presents an adaptive recursive least squares algorithm (ARLS) for detecting voltage sag and voltage swell events in power systems. Different methods have been developed to detect voltage sag and voltage swell. Some of them use window techniques, which are too slow when voltage sag or swell mitigation is required. Others depend on the extraction of a single non-stationary sinusoidal signal out of a given multi-components input signal, and therefore they don’t consider the harmonic components in calculating the voltage root mean square value (rms). The method, proposed in this paper, is capable of estimating the voltage rms taking into account all harmonic components. The method is tested by applying it to different, simulated signals using ATP program, and compared with voltage sag detection algorithms.

목차

Abstract
 1. Introduction
 2. Voltage Sag and Swell Detection Methods
  2.1 Voltage Peak Calculation
  2.2 Missing Voltage Technique
  2.3 Extraction of Non-Stationary Sinusoids
 3. Adaptive Recursive Least Squares Algorithm
 4. Simulation Results
  4.1 Mathematically Modeled Signals
  4.2 EMTP-ATP Simulated Signals
 5. Conclusions
 참고문헌

키워드

저자

• Mansour A. Mohamed [ Electrical Engineering Department, Assiut University, Assiut 71518, EGYPT ] 교신저자

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국융합학회논문지 [Journal of the Korea Convergence Society]

• 간기

  월간

• pISSN

  2233-4890

• 수록기간

  2010~2022

• 십진분류

  KDC 530 DDC 620