Title :
Islanding detection and load shedding scheme for radial distribution systems integrated with dispersed generations
Author :
Khamis, Aziah ; Shareef, Hussain ; Mohamed, Azah
Author_Institution :
Fac. of Electr. Eng., Univ. Teknikal Malaysia Melaka, Melaka, Malaysia
Abstract :
This study presents a novel islanding detection and optimal load shedding scheme for radial distribution systems integrated with dispersed generation (DG). A simple and effective passive islanding detection method is developed based on the phase-space technique and using a probabilistic neural network-based classifier. After the system detects unintentional islanding state, it utilises an optimal load shedding scheme to prevent system collapse due to load-generation mismatch and voltage instability encountered in the islanded part of the system. The optimal load shedding scheme is developed based on the backtracking search algorithm. Extensive tests conducted with the DigSilent Power Factory® software and MATLAB® software on the IEEE 33-bus system with four DG units considering several scenarios of islanding condition were utilised to evaluate the effectiveness of the proposed islanding detection method and the optimal load shedding scheme. The results showed that the proposed method can effectively detect the islanding events and stabilise the islanded part of the system with minimum load curtailment.
Keywords :
control engineering computing; distributed power generation; load shedding; neural nets; pattern classification; power distribution faults; power engineering computing; probability; search problems; voltage regulators; DigSilent Power Factory software; IEEE 33-bus system; MATLAB software; backtracking search algorithm; dispersed generation; load-generation mismatch; minimum load curtailment; optimal load shedding scheme; passive islanding detection method; phase-space technique; probabilistic neural network-based classifier; radial distribution systems; system collapse prevention; unintentional islanding state detection; voltage instability;
Journal_Title :
Generation, Transmission Distribution, IET
DOI :
10.1049/iet-gtd.2015.0263