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A. Samui

Researcher at Indian Institute of Technology Bhubaneswar

Publications -  9
Citations -  538

A. Samui is an academic researcher from Indian Institute of Technology Bhubaneswar. The author has contributed to research in topics: Islanding & Inverter. The author has an hindex of 8, co-authored 9 publications receiving 469 citations. Previous affiliations of A. Samui include National Institute of Technology, Rourkela.

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Assessment of ROCPAD Relay for Islanding Detection in Distributed Generation

TL;DR: The results indicate that the ROCPAD relay can reliably detect islanding conditions in large microgrid structures and the widely used rate of change of frequency relays (ROCOF) is found working effectively in the situations where ROCOF fails.
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Wavelet Singular Entropy-Based Islanding Detection in Distributed Generation

TL;DR: In this paper, a wavelet singular entropy (WSE)-based islanding detection method was proposed for distributed generation interfaced to the microgrid. But, the proposed method is limited to detecting islanding within 10 ms (half cycle) from the event inception.
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A Direct Approach to Optimal Feeder Routing for Radial Distribution System

TL;DR: A simple direct solution is proposed that significantly reduces the inherent difficulties of finding the solution and ensures optimum solution at the same time and the concept of principle of optimality is effectively used to make the proposed technique more computationally efficient and useful.
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Time-frequency transform-based islanding detection in distributed generation

TL;DR: In this paper, a new technique for islanding detection in distributed generation (DG) using time-frequency transform such as S -transform is presented, where the spectral energy index (ratio of spectral energy content of the voltage to current signals) is computed to track the islanding situation from non-islanding conditions from sudden load change, tripping of other DG, etc.
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Distribution system planning considering reliable feeder routing

TL;DR: In this paper, a direct search technique is applied for optimum planning which ensures only minimisation of planning cost, and the concept of principle of optimality theorem makes the direct method more computationally efficient, reducing total numbers of radial paths.