Fault Current Control and Protection in a Standalone DC Microgrid Using Adaptive Droop and Current Derivative [electronic resource]

Saved in:
Bibliographic Details
Online Access: Full Text (via OSTI)
Corporate Author: Sandia National Laboratories (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2020.
Subjects:
Description
Abstract:This report presents a novel fault detection, characterization, and fault current control algorithm for a standalone solar-photovoltaic (PV) based dc microgrids. The protection scheme is based on the current derivative algorithm. The overcurrent and current directional/differential comparison based protection schemes are incorporated for the dc microgrid fault characterization. For a low impedance fault, the fault current is controlled based on the current/voltage thresholds and current direction. Generally, the droop method is used to control the power-sharing between the converters by controlling the reference voltage. In this article, an adaptive droop scheme is also proposed to control the fault current by calculating a virtual resistance R droop , and to control the converter output reference voltage. For a high impedance fault, differential comparison method is used to characterize the fault. These algorithms effectively control the converter pulsewidth and reduce the flow of source current from a particular converter, which helps to increase the fault clearing time. Additionally, a trip signal is sent to the corresponding dc circuit breaker (DCCB), to isolate the faulted converter, feeder or a dc bus. The dc microgrid protection design procedure is detailed, and the performance of the proposed method is verified by simulation analysis.
Item Description:Published through Scitech Connect.
03/31/2020.
"SAND2022-3812J."
"Journal ID: ISSN 2168-6777."
"Other: 704990."
Augustine, Sijo ; Reno, Matthew J. ; Brahma, Sukumar M. ; Lavrova, Olga ;
Physical Description:Size: p. 2529-2539 : digital, PDF file.