TY - GEN
T1 - Evaluating unintentional islanding risks for a high penetration PV feeder
AU - Mojdehi, Mohammad Nikkhah
AU - Ghosh, Prasanta
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/29
Y1 - 2018/1/29
N2 - The continued adoption of DGs is quickly altering the composition of distribution systems (DSs). As the penetration and saturation of these new distributed generators (DGs) escalate, new challenges in the planning and operations of DSs are arising. At current penetration level, DGs represent a rare or minimal threat to the stable DS operation. However, in a fully mature marketplace in the future, high saturation of DG can create the need for more diligent review and analysis. Commonly-used software applications in utility industry are not capable of analyzing the challenges, especially those requiring time-based analysis. This paper presents a simulation platform which enables utilities to evaluate the risk of unintentional islanding of interconnected DGs. The platform uses available data from utilities' existing database to generate an accurate model of DS and calculates the run-on time of interconnected DGs after the loss-of-main grid. Results of a real case study shows the accuracy and functionality of the platform. The developed platform can be used by the utilities' engineers to facilitate the interconnection of DGs.
AB - The continued adoption of DGs is quickly altering the composition of distribution systems (DSs). As the penetration and saturation of these new distributed generators (DGs) escalate, new challenges in the planning and operations of DSs are arising. At current penetration level, DGs represent a rare or minimal threat to the stable DS operation. However, in a fully mature marketplace in the future, high saturation of DG can create the need for more diligent review and analysis. Commonly-used software applications in utility industry are not capable of analyzing the challenges, especially those requiring time-based analysis. This paper presents a simulation platform which enables utilities to evaluate the risk of unintentional islanding of interconnected DGs. The platform uses available data from utilities' existing database to generate an accurate model of DS and calculates the run-on time of interconnected DGs after the loss-of-main grid. Results of a real case study shows the accuracy and functionality of the platform. The developed platform can be used by the utilities' engineers to facilitate the interconnection of DGs.
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U2 - 10.1109/PESGM.2017.8273726
DO - 10.1109/PESGM.2017.8273726
M3 - Conference contribution
AN - SCOPUS:85046345670
T3 - IEEE Power and Energy Society General Meeting
SP - 1
EP - 5
BT - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PB - IEEE Computer Society
T2 - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Y2 - 16 July 2017 through 20 July 2017
ER -