Debadatta Amaresh Gadanayak

Siksha O Anusandhan University | SOA · Department of Electrical and Electronics Engineering

Distributed generations (DGs) have been increasingly addressing the ongoing power deficit in the electricity market. However, a significant concern in DG-integrated microgrids is the detection of accidental islanding. To tackle this issue, this article proposes a cost-friendly, novel data-driven passive islanding detection scheme named EEMD-HOBRC,...

The modern era power system is constantly undergoing constructive changes and implementations both in source and load side. Certainly, the distributed generators, unconventional/nonlinear loads, charging stations etc are mostly integrated through power electronics interfaces. As a result, frequent power quality disturbances appear in the system tha...

At present, resources are scarce and difficult to access, leading to an increased focus on renewable resources as a solution. This is where distributed generation (DG) comes into play. However, one of the major challenges in implementing a DG system is islanding, which must be addressed. This report explores the use of Bayesian-Optimized Decision T...

The extensive application of power transfer through high-voltage direct current (HVDC) transmission links in smart grid scenarios is due to many factors such as high-power transfer efficiency, decoupled interconnection, control of AC networks, reliable and flexible operation, integration of large wind and photovoltaic (PV)-based off-shore and on-sh...

The complexity raised due to the exponential growth of renewable power generators in modern power system evokes the necessity of detecting the potential power quality threats. With this context, the article proposes a novel power quality (PQ) detection method in PV and wind generator integrated distribution networks. In the first stage, the variati...

Considering the advantage of the ability of data-mining techniques (DMTs) to detect and classify patterns, this paper explores their applicability for the protection of voltage source converter-based high voltage direct current (VSC-HVDC) transmission systems. In spite of the location of fault occurring points such as external/internal, rectifier-s...

Abstract The quality of power in modern‐day power system is polluted with increased penetration of converter‐based distributed generations such as wind farm, solar PV system. In such scenarios detection of islanding and power quality disturbances as well as the removal of these from the system is quite crucial for equipment and maintenance personne...

Microgrids are emerging as a crucial component of the modern power system owing to significant developments in renewable energy-based distributed generation technologies and worldwide growing concern about the environmental hazards caused by the conventional coal-based power generation units. However, the addition of the distributed generation unit...

Despite extensive research, the detection of arcing high-impedance faults (HIFs) in the low and medium voltage transmission and distribution networks remains a formidable challenge. Conventional overcurrent relays fail to detect the high-impedance faults due to their low fault current. However, even the modern digital relays utilizing the advanced...

Conventional discrete Fourier transform algorithm which is commonly used for phasor estimation in digital protective relays exhibits large estimation error and long convergence time in presence of exponentially decreasing DC components. This paper presents an efficient algorithm for phasor estimation using a modified empirical mode decomposition an...

This paper proposes an intelligent, nonpilot protection strategy for inverter‐dominated microgrids using iterative filtering‐based empirical mode decomposition (IFEMD) and extreme learning machine. The instantaneous frequency envelope (IFE) and the instantaneous Teager energy envelope (ITEE) of the most informative intrinsic mode function (MIIMF) o...

Despite extensive research, high impedance fault (HIF) detection remains challenging because it is always associated with low magnitude, nonlinear, asymmetric and random fault currents. This paper presents a new technique for arcing high impedance ground fault detection in distribution feeders through analysis of interharmonic content of the curren...

This paper proposes a differential protection scheme for microgrid based on spectral energy content and phasor deviation of the current signals. A noise robust downsample based empirical mode decomposition (DEMD) technique is employed for fetching intrinsic mode functions (IMFs) of current and voltage waveforms. Teager energy operator is applied fo...