Title :
Anti-Islanding Scheme for Synchronous DG Units Based on Tufts–Kumaresan Signal Estimation Method
Author :
Bakhshi, Mohsen ; Noroozian, Reza ; Gharehpetian, G.B.
Author_Institution :
Dept. of Electr. Eng., Univ. of Zanjan, Zanjan, Iran
Abstract :
Considering safety and reliability problems of distribution networks, an exact distinction method is required to discriminate the loss of the main network from the existing parallel operation. Hence, this paper introduces a new islanding detection method for synchronous DGs. This method uses a noniterative signal estimation algorithm for the estimation of the damping factor and oscillation frequency of synchronous DG. The Tufts-Kumaresan (TK) signal estimation method is used in this study to detect the islanding conditions. Simulation results under various scenarios, such as different types of faults, load changes, and capacitor bank switching are used to evaluate the performance of the proposed method. This method has a high capability in islanding detection, even in cases with near to zero active power imbalances. To show the effectiveness of the proposed method, it is compared with the performance of ROCOF and ROCOFOP methods.
Keywords :
capacitor switching; distributed power generation; electrical safety; frequency estimation; performance evaluation; power distribution faults; power distribution reliability; synchronous generators; ROCOF method; ROCOFOP method; TK signal estimation method; Tufts-Kumaresan signal estimation method; antiislanding scheme; capacitor bank switching; damping factor estimation; distribution network; exact distinction method; islanding detection method; near to zero active power imbalance; noniterative signal estimation algorithm; oscillation frequency estimation; parallel operation; reliability problem; safety problem; synchronous DG unit; Damping; Distributed power generation; Estimation; Frequency control; Oscillators; Power system simulation; Voltage control; Islanding detection; Tufts–Kumaresan method; nondetection zone; synchronous distributed generation (SDG);
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2013.2271837