An Effective Method for Islanding Detection Based on Variational Mode Decomposition

DOI : 10.26650/electrica.2019.19007 The present study presents a new islanding detection method based on variational mode decomposition (VMD). In the method, the VMD transform of the voltage at point of common coupling is calculated, and then based on the decomposed modes, an islanding detection index for distinguishing between islanding and normal conditions will be derived. Pursuing this objective, the measured voltage is decomposed into four modes, and a new islanding detection index will be derived from their energy and their variations. Then, thresholds will be adjusted based on values of proposed index in various conditions on normal and islanding operations. The proposed algorithm decomposes the measured signal into a predetermined number of intrinsic modes around central frequencies; the method is insensitive to the noise and sampling frequency. To validate the method, a distribution network has been simulated in PSCAD/EMTDC, and the algorithm is tested on a variety of islanding and normal circumstances. The results illustrate desired performance of the proposed algorithm for conditions such as motor, nonlinear, and large load switching; as normal condition; and islanding condition with a variety of power mismatches between local load and distributed generation. The results demonstrate the desired performance of the method with respect to both speed and accuracy. Cite this article as : Salimi S, Koochaki A. An Effective Method for Islanding Detection Based on Variational Mode Decomposition. Electrica, 2019; 19(2): 135-1145.

[1]  M. Karrari,et al.  Application of Duffing Oscillators for Passive Islanding Detection of Inverter-Based Distributed Generation Units , 2012, IEEE Transactions on Power Delivery.

[2]  Nand Kishor,et al.  S-transform based islanding detection in grid-connected distributed generation based power system , 2010, 2010 IEEE International Energy Conference.

[3]  E.F. El-Saadany,et al.  Impact of DG interface control on islanding detection and nondetection zones , 2005, IEEE Transactions on Power Delivery.

[4]  Manohar Mishra,et al.  Time-Frequency Analysis based Approach to Islanding Detection in Micro-grid System , 2016 .

[5]  Mohammad Mohammadi,et al.  Islanding detection approach with negligible non‐detection zone based on feature extraction discrete wavelet transform and artificial neural network , 2016 .

[6]  Walmir Freitas,et al.  Formulas for predicting the dynamic performance of ROCOF relays for embedded generation applications , 2006 .

[7]  Sung-Il Jang,et al.  An islanding detection method for distributed generations using voltage unbalance and total harmonic distortion of current , 2004, IEEE Transactions on Power Delivery.

[8]  Jun Yin,et al.  Islanding Detection Using Proportional Power Spectral Density , 2008, IEEE Transactions on Power Delivery.

[9]  B. Singam,et al.  Assessing SMS and PJD Schemes of Anti-Islanding with Varying Quality Factor , 2006, 2006 IEEE International Power and Energy Conference.

[10]  Marco Liserre,et al.  Wavelet-Based Islanding Detection in Grid-Connected PV Systems , 2009, IEEE Transactions on Industrial Electronics.

[11]  Manohar Mishra,et al.  Fast discrete s-transform and extreme learning machine based approach to islanding detection in grid-connected distributed generation , 2018, Energy Systems.

[12]  Yu Zhang,et al.  Evaluation of anti-islanding schemes based on nondetection zone concept , 2004, IEEE Transactions on Power Electronics.

[13]  Liuchen Chang,et al.  Passive Islanding Detection Approach Based on Tracking the Frequency-Dependent Impedance Change , 2015, IEEE Transactions on Power Delivery.

[14]  Walid G. Morsi,et al.  A New Approach Based on Wavelet Design and Machine Learning for Islanding Detection of Distributed Generation , 2014, IEEE Transactions on Smart Grid.

[15]  Wei Lee Woon,et al.  A Bayesian Passive Islanding Detection Method for Inverter-Based Distributed Generation Using ESPRIT , 2011, IEEE Transactions on Power Delivery.

[16]  A D Rajapakse,et al.  A Pattern Recognition Approach for Detecting Power Islands Using Transient Signals—Part I: Design and Implementation , 2010, IEEE Transactions on Power Delivery.

[17]  Emilio Figueres,et al.  Review of anti-islanding techniques in distributed generators , 2010 .

[18]  G. Joos,et al.  Intelligent-Based Approach to Islanding Detection in Distributed Generation , 2007, IEEE Transactions on Power Delivery.

[19]  Bin Wu,et al.  Improved Active Frequency Drift Anti-islanding Detection Method for Grid Connected Photovoltaic Systems , 2012, IEEE Transactions on Power Electronics.

[21]  J.L. Kirtley,et al.  Performance of the OVP/UVP and OFP/UFP Method With Voltage and Frequency Dependent Loads , 2009, IEEE Transactions on Power Delivery.

[23]  H. Seyedi,et al.  Islanding Detection Using Combined Algorithm Based on Rate of Change of Reactive Power and Current THD Techniques , 2012, 2012 Asia-Pacific Power and Energy Engineering Conference.

[24]  Dominique Zosso,et al.  Variational Mode Decomposition , 2014, IEEE Transactions on Signal Processing.

[25]  S. Samantaray,et al.  Wavelet Singular Entropy-Based Islanding Detection in Distributed Generation , 2013, IEEE Transactions on Power Delivery.

[26]  Liuchen Chang,et al.  A Reference Impedance-Based Passive Islanding Detection Method for Inverter-Based Distributed Generation System , 2015, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[27]  M. Liserre,et al.  Overview of Anti-Islanding Algorithms for PV Systems. Part I: Passive Methods , 2006, 2006 12th International Power Electronics and Motion Control Conference.

[28]  Amin Ghaderi,et al.  A novel islanding detection method for constant current inverter based distributed generations , 2011, 2011 10th International Conference on Environment and Electrical Engineering.