TY - GEN
T1 - Risk Assessment on Factors Leading to Inter-Area Resonance
AU - Perttula, Tomi
AU - Seppänen, Janne
AU - Kasmaei, Mahdi Pourakbari
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper studies factors which may have a critical effect on the inter-area resonance phenomenon. Inter-area resonance is caused by an interaction between forced oscillation and electromechanical inter-area mode, and under certain circumstances, may lead to instability in a power system. The phenomenon is analyzed under various conditions in a Nordic 57 model which represents a simplified model of the Nordic power system. The studied factors are the location, frequency, power component, and amplitude of the forced oscillation source. The main finding is that while most studied factors affect the phenomenon, not all cause critical effects independently. However, when combined with other unfavorable factors and system operating conditions, these factors may cause severe consequences in a power system. Extensive analysis suggests that a combination of different unfavorable factors may, in fact, lead to broad power outages. Based on the results, this paper offers a risk matrix that can be used to evaluate the combined effects of different factors that may lead to high-risk situations. The risk matrix can be used by transmission system operators when evaluating inter-area resonance risks in their system.
AB - This paper studies factors which may have a critical effect on the inter-area resonance phenomenon. Inter-area resonance is caused by an interaction between forced oscillation and electromechanical inter-area mode, and under certain circumstances, may lead to instability in a power system. The phenomenon is analyzed under various conditions in a Nordic 57 model which represents a simplified model of the Nordic power system. The studied factors are the location, frequency, power component, and amplitude of the forced oscillation source. The main finding is that while most studied factors affect the phenomenon, not all cause critical effects independently. However, when combined with other unfavorable factors and system operating conditions, these factors may cause severe consequences in a power system. Extensive analysis suggests that a combination of different unfavorable factors may, in fact, lead to broad power outages. Based on the results, this paper offers a risk matrix that can be used to evaluate the combined effects of different factors that may lead to high-risk situations. The risk matrix can be used by transmission system operators when evaluating inter-area resonance risks in their system.
KW - Forced oscillation
KW - Inter-area oscillation
KW - Inter-area resonance
KW - Small-signal stability
UR - http://www.scopus.com/inward/record.url?scp=85207445048&partnerID=8YFLogxK
U2 - 10.1109/PESGM51994.2024.10688683
DO - 10.1109/PESGM51994.2024.10688683
M3 - Conference article in proceedings
AN - SCOPUS:85207445048
T3 - IEEE Power and Energy Society General Meeting
BT - 2024 IEEE Power and Energy Society General Meeting, PESGM 2024
PB - IEEE
T2 - IEEE Power and Energy Society General Meeting
Y2 - 21 July 2024 through 25 July 2024
ER -