Particle Filter-Based Passive Islanding Detection Scheme for Renewable Energy Penetrated Distribution Systems

Abstract

Renewable energy penetrated distribution systems (REPDS) are the upcoming form of conventional distribution systems due to environmental benefits and power quality concerns. However, islanding detection is a challenging problem associated with these REPDSs. In this paper, the Particle filter (PF) is utilized to detect the islanding events in modern REPDS by utilizing a voltage signal at the point of common coupling (PCC). Initially, the PF is implemented on voltage signature at PCC for state estimation of fundamental and non-fundamental components. Then, the Particle filter estimated residuals (PFER) and non-fundamental $3^{\mathrm {rd}}$ harmonic component (NFTHC) indices are computed. The estimated PFER & NFTHC indices are matched with the pre-specified threshold setting to recognize the islanding conditions. Then, the tripping decision is taken by OR-operation of both the estimated PFER & NFTHC. The suggested method is competent in detecting islanding events in both balanced as well as unbalanced load/generation events. Moreover, the suggested method is also capable of discriminating islanding conditions from non-islanding events. Extensive simulation on MATLAB/Simulink-based IEEE 13-bus test bed and UL-1741 test bed are accomplished to authenticate the usefulness of the suggested scheme. The results illustrate that the suggested method performs well with 99% accuracy, low computational latency, and very low non-detection zone (NDZ). Furthermore, the time of action of the presented scheme is less than 2 milliseconds (m sec) deprived of any false operation.

Keywords

• Islanding detection
• passive methods
• particle filters
• renewable energy penetrated distribution systems