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Srdjan Lukic

Researcher at North Carolina State University

Publications -  185
Citations -  9431

Srdjan Lukic is an academic researcher from North Carolina State University. The author has contributed to research in topics: Voltage & Microgrid. The author has an hindex of 38, co-authored 173 publications receiving 7580 citations. Previous affiliations of Srdjan Lukic include Illinois Institute of Technology & University of North Carolina at Chapel Hill.

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Proceedings ArticleDOI

An Energy Management System for a community energy storage system

TL;DR: In this paper, an Energy Management System (EMS) is proposed to reduce energy consumption during peak load conditions and limit the excess reverse power flow back to the utility in a community level microgrid.
Proceedings ArticleDOI

Performance analysis of automotive power systems: effects of power electronic intensive loads and electrically-assisted propulsion systems

TL;DR: In this paper, the effects of the new introduced electrical systems including hotel and auxiliary loads on the electrical power systems of conventional and more electric cars are presented, and system level issues such as fuel economy and vehicle performances are addressed.
Journal ArticleDOI

Universal Restart Strategy for Scalar (V/f) Controlled Induction Machines

TL;DR: The proposed method performs a frequency search to estimate the rotor speed, and applies the correct frequency and voltage to minimize the inrush current during the restart, making the approach ideal for scalar-controlled motor drives.
Journal ArticleDOI

Distributed Control Strategy to Achieve Synchronized Operation of an Islanded MG

TL;DR: The proposed method utilizes a pinning-based consensus algorithm to ensure explicit coordination between magnitude, frequency, and phase angle regulation while ensuring proportional power sharing and its effectiveness is demonstrated using a real-time hardware-in-the-loop MG testbed.
Journal ArticleDOI

Accurate Consensus-Based Distributed Averaging With Variable Time Delay in Support of Distributed Secondary Control Algorithms

TL;DR: This paper quantifies the accuracy deviations of the distributed average observer algorithms proposed in the literature to demonstrate the problems with the state-of-the-art distributed averaging techniques.