Data-mining based comprehensive primary and backup protection scheme for micro-grid

Abstract

The paper presents a data-mining based comprehensive protection scheme for micro-grid using decision tree. The proposed scheme pre-processes the current and voltage signals at both ends of the faulted feeder using discrete Fourier transform (DFT) and compute the differential features, which are used to build two decision trees (DTs) for the final relaying decision. The differential features between immediate buses are considered for primary protection and differential features between far end buses are used to build data-mining model (DT) for secondary protection. The proposed scheme is tested for fault and no fault situations in the studied micro-grid with wide variations in system operating parameters and fault parameters including grid-connected and islanded modes of operation. The extensive test results show that the proposed intelligent relaying scheme can provide reliable protection measure considering both primary as well as backup protection for safe and secured micro-grid operation.