TY - GEN
T1 - OPTIMIZING INTENTIONAL ISLANDING DESIGN STRATEGIES FOR ENHANCED FAILURE RESILIENCE OF POWER SYSTEMS
AU - Wu, Jiaxin
AU - Chen, Xin
AU - Zhang, Jie
AU - Wang, Pingfeng
N1 - Publisher Copyright:
Copyright © 2022 by ASME.
PY - 2022
Y1 - 2022
N2 - Establishing cleaner energy generation therefore improving the sustainability of power systems is a crucial task in this century. One of the key strategies being pursued is to shift the dependence on fossil fuel to renewable technologies such as wind, solar, and nuclear. However, with the increasing number of heterogeneous components included in the power system, the complexity of the hybrid energy system becomes more significant, which makes it prone to system failures. The complex system imposes a more stringent requirement of the contingency plan to enhance the overall system resilience against potential system disruptive events. Among different strategies to ensure a resilient system, intentional islanding is commonly applied in practical applications for power systems. In this study, we address the challenges of intentional islanding design considering high penetration of renewable energy sources, and develop a hierarchical clustering-based design method for optimized intentional islanding strategies at the transmission level of a power system. To incorporate the renewable generation that relies on the inverter technology, the frequency measurements are considered to represent the transient response and further used as embedded information in the clustering algorithm. And in the case study, the stabilized post-disruption performance of the modified IEEE-9 bus test system demonstrates the capability of the proposed method for resilience enhancement.
AB - Establishing cleaner energy generation therefore improving the sustainability of power systems is a crucial task in this century. One of the key strategies being pursued is to shift the dependence on fossil fuel to renewable technologies such as wind, solar, and nuclear. However, with the increasing number of heterogeneous components included in the power system, the complexity of the hybrid energy system becomes more significant, which makes it prone to system failures. The complex system imposes a more stringent requirement of the contingency plan to enhance the overall system resilience against potential system disruptive events. Among different strategies to ensure a resilient system, intentional islanding is commonly applied in practical applications for power systems. In this study, we address the challenges of intentional islanding design considering high penetration of renewable energy sources, and develop a hierarchical clustering-based design method for optimized intentional islanding strategies at the transmission level of a power system. To incorporate the renewable generation that relies on the inverter technology, the frequency measurements are considered to represent the transient response and further used as embedded information in the clustering algorithm. And in the case study, the stabilized post-disruption performance of the modified IEEE-9 bus test system demonstrates the capability of the proposed method for resilience enhancement.
KW - Intentional Islanding
KW - disruptive management
KW - power systems
KW - spectral clustering
UR - http://www.scopus.com/inward/record.url?scp=85142531232&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142531232&partnerID=8YFLogxK
U2 - 10.1115/DETC2022-89619
DO - 10.1115/DETC2022-89619
M3 - Conference contribution
AN - SCOPUS:85142531232
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 48th Design Automation Conference (DAC)
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2022
Y2 - 14 August 2022 through 17 August 2022
ER -