Detection of islanding and power quality disturbance in micro grid connected distributed generation

Micro grid (MG) is becoming a very good substitution for traditional grid. It is capable of supply DC or AC power with the help of hybrid distributed generator. These are capable maintain good power quality (PQ) and reliable supply with full control over voltage and current. MG could optimize capital resource by reducing maintenances and operating cost. This reduces loss and generation cost and increases efficiency of the power system. MG works in standalone mode and interconnected mode. In standalone mode it operated without any grid connection but in interconnected mode it is coupled with main grid. In case interconnected mode when it operate alone due to grid failure, it is called islanding. It results number of power quality issues and human safety concern. Large variation in frequency, voltage, current and harmonic distortion some time become very harmful for utility and inverter. Non detection zone (NDZ) is a very dangerous condition during islanding. So it is necessary to detect islanding as fast as possible and disconnect the DG from the system. Many different methods have been proposed to detect island previously. In this paper discrete wavelet transform technique (DWT) is used for detection of island and various power quality problem.

[1]  Mehmet Uzunoglu,et al.  Modeling, control and simulation of an autonomous wind turbine/photovoltaic/fuel cell/ultra-capacitor hybrid power system , 2008 .

[2]  S. Srinivasan,et al.  Power quality disturbance detection and islanding in micro grid connected distributed generation , 2014, 2014 IEEE International Conference on Computational Intelligence and Computing Research.

[3]  Eung-Sang Kim,et al.  Modeling and Control of a Grid-connected Wind/PV Hybrid Generation System , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[4]  M. El-Hawary,et al.  Reformulating Power Components Definitions Contained in the IEEE Standard 1459–2000 Using Discrete Wavelet Transform , 2007, IEEE Transactions on Power Delivery.

[5]  A. I. M. Isa,et al.  Evaluation on non-detection zone of passive islanding detection techniques for synchronous distributed generation , 2015, 2015 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE).

[6]  Sanjukta Patel,et al.  Modeling and control of a grid connected wind-PV hybrid generation system , 2014 .

[7]  M. El-Hawary,et al.  Reformulating Three-Phase Power Components Definitions Contained in the IEEE Standard 1459–2000 Using Discrete Wavelet Transform , 2007, IEEE Transactions on Power Delivery.

[8]  Yongli Li,et al.  An Islanding Detection Method for Inverter-Based Distributed Generators Based on the Reactive Power Disturbance , 2016, IEEE Transactions on Power Electronics.

[9]  Nand Kishor,et al.  Islanding and Power Quality Disturbance Detection in Grid-Connected Hybrid Power System Using Wavelet and $S$-Transform , 2012, IEEE Transactions on Smart Grid.

[10]  J.A.P. Lopes,et al.  Defining control strategies for MicroGrids islanded operation , 2006, IEEE Transactions on Power Systems.

[11]  Jin-Hong Jeon,et al.  Dynamic Modeling and Control of a Grid-Connected Hybrid Generation System With Versatile Power Transfer , 2008, IEEE Transactions on Industrial Electronics.

[12]  Ehab F. El-Saadany,et al.  Impact of DG interface control on islanding detection and nondetection zones , 2006 .

[13]  M.H. Nehrir,et al.  A Hybrid Islanding Detection Technique Using Voltage Unbalance and Frequency Set Point , 2007, IEEE Transactions on Power Systems.

[14]  B V Rajanna,et al.  Defining Control Strategies for Micro Grids Islanded Operation with Maximum Power Point Tracking using a Fuzzy Logic Control Scheme , 2016 .