Abstract
This paper reviews the recent trend and development of control techniques for islanding mode particularly for photovoltaic (PV) grid-connected systems. Grid-connected system has gained vast popularity over the past years. Therefore, it is essential to ensure ultimate safe interaction between distribution generations and utility grid. One of the major safety issues is the unintentional activities carried out by maintenance workers within the grid-connected PV system during the islanding operation mode. There are two types of islanding mode, namely the intentional and unintentional. This paper only focuses on the detection methods for unintentional islanding. Anti-islanding detection methods are generally categorized into two groups, namely the Local Islanding Detection Technique and the Remote Islanding Detection Technique. Each detection group consists of several specific techniques that apply different methodologies or algorithms. The fundamental concept and theory of operation of popularity used anti-islanding detection methods are described. In addition, the advantages and disadvantages of each control method have been highlighted. The operation characteristics and system parameters of each detection techniques are analyzed and discussed. Moreover, the comparison of islanding detection method based on various characteristics has been detailed. It can be concluded that anti-islanding detection methods are greatly governed by the nature of system application as well as the scale of the system. Finally, this chapter also explains construction of the simulation of the PV grid-connected anti-islanding detection method in MATLAB/Simulink simulation software. The chapter ends with the simulation results of both passive and active methods as well as the results, discussion, and analysis.
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Teoh, W.Y., Tan, C.W., Ngan, M.S. (2016). A Study of Islanding Mode Control in Grid-Connected Photovoltaic Systems. In: Islam, M., Rahman, F., Xu, W. (eds) Advances in Solar Photovoltaic Power Plants. Green Energy and Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-50521-2_7
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