Journal of System Simulation ›› 2018, Vol. 30 ›› Issue (9): 3445-3450.doi: 10.16182/j.issn1004731x.joss.201809027

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A Composite Islanding Detection Method Based on NDZ Pre-estimation Mechanism

Long Xin, Zhu Ziwei, Xu Min   

  1. School of Information Engineering, Nanchang University, Nanchang 330031, China
  • Received:2016-12-07 Online:2018-09-10 Published:2019-01-08

Abstract: Islanding detection methods are divided into passive and active types. The former has a large detection blind area and low success rate. The latter has high accuracy and reliability, but it reduces the power quality of the grid by continuously adding disturbances. Thus, this paper proposes a compound islanding detection method based on NDZ pre-estimation. Several electrical parameters of the load flow on the grid side and the flow load on the inverter side are separately calculated and pre-evaluated, and Sandia frequency offset method is selectively introduced according to the evaluation result to complete the islanding detection. The NDZ of this method is very small, no blind area detection can be realized under certain load conditions, and the power quality of the output current is greatly improved. Through simulation and analysis, the feasibility of the hybrid algorithm is verified.

Key words: photovoltaic power generation system, grid-connected inverter, islanding detection, NDZ pre-estimation, AFDPF

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