Analysis of Harmonic Transfer Characteristics and RAPF Installation Strategy in Power Systems

Tian Li; Wanjun Lei; Nie Cheng; Xiaojie Zhang; Guoqing Gao; F. Kai Li

추천

검색

질문

자료유형: 학술대회자료

저자정보: Tian Li (Xi’an Jiaotong University) Wanjun Lei (Xi’an Jiaotong University) Nie Cheng (Xi’an Jiaotong University) Xiaojie Zhang (Xi’an Jiaotong University) Guoqing Gao (Xi’an Jiaotong University) F. Kai Li (Xi’an Jiaotong University)

저널정보: 전력전자학회 ICPE(ISPE)논문집 ICPE 2019-ECCE Asia

발행연도: 2019.5

수록면: 2,668 - 2,674 (7page)

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

Power quality has become a new threat because of the distributed nature of disturbances caused by nonlinear loads and DGs. When harmonics are transmitted in a distribution network, they’ll be magnified by resonance between line capacitance and inductance, then worsen the harmonic in power systems. In this paper, a mathematical model for harmonic transfer characteristics of power system feeders is firstly established. Meanwhile, analyze the harmonic voltage propagation caused respectively by the background harmonic voltage source and harmonic current source, which provides an important theoretical basis for the treatment of harmonic pollution. In addition, a strategy is proposed to guide the optimal installation position and setting of external resistance of RAPF to achieve the minimum total distortion rate in the entire distribution network system, which can damp the harmonic resonant effectively. Simulation and experiments have been performed to verify the theoretical analysis and demonstrate the effectiveness of the proposed strategy.

#harmonic resonance #harmonic transfer characteristic #power quality #RAPF

Abstract
I. INTRODUCTION
II. RESEARCH ON HARMONIC TRANSFER CHARACTERISTICS OF DISTRIBUTION NETWORK
III. HARMONIC RESONANCE DAMPING STRATEGY BASED ON R-APF
IV. MATHEMATICAL MODEL OF R-APF IN THE DISTRIBUTION NETWORK UNDER VARIOUS WORKING CONDITIONS
V. EXPERIMENTAL VERIFICATION
VI. CONCLUSIONS
REFERENCES

참고문헌 (0)

참고문헌 신청

참고문헌이 DBpia에서 서비스 중이라면, [참고문헌 신청]을 통해 등록해보세요

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!