TY - GEN
T1 - A hetero-functional graph analysis of electric power system structural resilience
AU - Thompson, Dakota J.
AU - Schoonenberg, Wester C.H.
AU - Farid, Amro M.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - As modern life and the world's services increasingly electrify, the resilience of the electric power grid is more important than ever. Current methods of studying electric power grid resilience generally fall in one of two categories: 1.) dynamic simulation methods and 2.) network science methods based upon graph connectedness. The latter use 'lightweight' models while the former is considerably more computationally intensive. Though these methods provide valuable insights, there is a need for analytical tools that balance analytical insight with computational complexity. This paper demonstrates, for the first time, a structural resilience analysis based upon the application of hetero-functional graph theory to electric power systems. These measures are of particular relevance to the grid's architectural transformation as it comes to accommodate distributed generation and meshed networks. The paper concludes with a discussion of some of the key differences between existing resilience measures and those based upon a hetero-functional graph analysis.
AB - As modern life and the world's services increasingly electrify, the resilience of the electric power grid is more important than ever. Current methods of studying electric power grid resilience generally fall in one of two categories: 1.) dynamic simulation methods and 2.) network science methods based upon graph connectedness. The latter use 'lightweight' models while the former is considerably more computationally intensive. Though these methods provide valuable insights, there is a need for analytical tools that balance analytical insight with computational complexity. This paper demonstrates, for the first time, a structural resilience analysis based upon the application of hetero-functional graph theory to electric power systems. These measures are of particular relevance to the grid's architectural transformation as it comes to accommodate distributed generation and meshed networks. The paper concludes with a discussion of some of the key differences between existing resilience measures and those based upon a hetero-functional graph analysis.
KW - Distributed generation
KW - Electric power grid
KW - Hetero-functional graph theory
KW - Resilience
UR - http://www.scopus.com/inward/record.url?scp=85086269863&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086269863&partnerID=8YFLogxK
U2 - 10.1109/ISGT45199.2020.9087732
DO - 10.1109/ISGT45199.2020.9087732
M3 - Conference contribution
AN - SCOPUS:85086269863
T3 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
BT - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
T2 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Y2 - 17 February 2020 through 20 February 2020
ER -