A passive islanding detection approach for distributed generation using rate of change of negative sequence voltage and current

In this paper a new passive islanding detection technique is proposed for distributed generation using rate of change of negative sequence voltage and current. The proposed technique is based on the voltage and current measurement at targeted distributed generation (DG). The retrieved voltage and current are converted into symmetrical component through sequence analyzer then rate of change of negative sequence voltage (ROCONSV) and rate of change of negative sequence current (ROCONSC) are calculated for islanding detection. ROCONSV and ROCONSC are tested for different active power mismatching and work effectively even power imbalance is less than 15%. The proposed technique detects islanding very fast less than one cycle. This technique is efficient and free from non detection zone (NDZ).

[1]  Li Wang,et al.  Application of signal processing techniques for islanding detection of distributed generation in distribution network : A review , 2015 .

[2]  Saeed Afsharnia,et al.  A new passive islanding detection method and its performance evaluation for multi-DG systems , 2014 .

[3]  S. R. Samantaray,et al.  Assessment of ROCPAD Relay for Islanding Detection in Distributed Generation , 2011, IEEE Transactions on Smart Grid.

[4]  Er. Mamatha Sandhu,et al.  Issues , Challenges , Causes , Impacts and Utilization of Renewable Energy Sources-Grid Integration , 2014 .

[5]  G. Joós,et al.  A Fuzzy Rule-Based Approach for Islanding Detection in Distributed Generation , 2010, IEEE Transactions on Power Delivery.

[6]  Rami J. Haddad,et al.  A passive islanding detection approach for inverter-based distributed generation using rate of change of frequency analysis , 2015, SoutheastCon 2015.

[7]  Ali Abbaspour,et al.  Intelligent Passive Anti-Islanding Protection for Doubly Fed Induction Generators , 2013 .

[8]  Dalia Allam,et al.  Islanding detection method for DFIG wind turbines using artificial neural networks , 2014 .

[9]  Toshihisa Funabashi,et al.  A review of islanding detection methods for distributed resources , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[10]  P. Garcia,et al.  Active Islanding Detection for Multiple Parallel-Connected Inverter-Based Distributed Generators Using High-Frequency Signal Injection , 2014, IEEE Transactions on Power Electronics.