Hybrid Islanding Identification Strategy for PV Fed Distributed Generators Using Rate of Frequency Variation and Even Harmonic Perturbation

The power sector has benefitted from Renewable Energy Source (RES) dependent distributed Generation (DG) to a large extent, as there could be a substantial reduction in the investment in large transmission system, especially in remote areas. The environment owes the renewable energy source dependent DG due to the reduction in the emission. Due to the introduction of RES fed DGs, the dependability of the power supply has been improved. The Synchronization of DGs with the grid is inevitable as the surplus power in one can meet the deficiency in the other. However, Synchronization of DG with the grid poses certain concerns as well. One of the major concerns is the islanding state of the DGs. Islanding is the scenario in which a DG keeps a site powered despite the absence of exterior bulk Electric Power Systems (EPS). It is mandatory to identify involuntary islanding as quickly as possible and to isolate the DG, due to serious hazards to equipment and working personnel. In this paper a robust hybrid Islanding Identification Strategy (IIS), with Rate of frequency variation (ROFV) as passive method and Even Harmonic Perturbation (EHP) as active method is presented and their performances are assessed. MATLAB/SIMULINK 2023a software is used to simulate the proposed algorithm.The obtained results show that the hybridized methods outperforms well when compared with the conventional methods.