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논문 기본 정보

자료유형
학술저널
저자정보
Xinxin Zheng (Hefei University of Technology) Lan Xiao (Nanjing University of Aeronautics and Astronautics) Wenwen Qin (Hefei University of Technology) Qing Zhang (Hefei University of Technology)
저널정보
전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.16 No.2
발행연도
2016.3
수록면
760 - 768 (9page)

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초록· 키워드

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Three-phase grid-connected inverters are widely applied in the fields of new energy power generation, electric vehicles and so on. Islanding detection is necessary to ensure the stability and safety of such systems. In this paper, feature recognition technology is applied and a novel islanding detection method is proposed. It can identify the features of inverter systems. The theoretical values of these features are defined as codebooks. The difference between the actual value of a feature and the codebook is defined as the quantizing distortion. When islanding happens, the sum of the quantizing distortions exceeds the threshold value. Thus, islanding can be detected. The non-detection zone can be avoided by choosing reasonable features. To accelerate the speed of detection and to avoid miscalculation, an active islanding detection method based on feature recognition technology is given. Compared to the active frequency or phase drift methods, the proposed active method can reduce the distortion of grid-current when the inverter works normally. The principles of the islanding detection method based on the feature recognition technology and the improved active method are both analyzed in detail. An 18 kVA DSP-based three-phase inverter with the SVPWM control strategy has been established and tested. Simulation and experimental results verify the theoretical analysis.

목차

Abstract
I. INTRODUCTION
II. OPERATION ANALYSIS
III. MODEL ISLANDING DETECTION METHOD
IV. ACTIVE DETECTION METHOD
V. SIMULATION AND EXPERIMENTAL RESULTS
VI. CONCLUSION
REFERENCES

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UCI(KEPA) : I410-ECN-0101-2016-560-002653701