TY - GEN
T1 - Enhancing Resilience of Reconfigurable Power-Water Systems with Mobile Distributed Generators and High-Proportional Renewables
AU - Yang, Yesen
AU - Li, Zhengmao
AU - Zhang, Guangxiao
AU - Costa, Alberto
AU - Lo, Edmond Y.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The intertwined interdependencies existing in power-water systems (PWS) increase the risk of cascading failures during post-interruption scenarios and affect the overall resiliency. Towards a more resilient operation of damaged PWS, this paper presents a resilience enhancement methodology to improve serviceability with mobile distributed generators (MDGs) and high-proportional renewables (HPR). First, the PWS is comprehensively modeled with component mechanisms and flow constraints. The interdependencies, including the power needs for water components, are modeled at component level. Second, various resources, such as extensively installed solar HPR units and MDGs, are coordinated to supply damaged PWS and reduce unsupplied loads. Reconfigurability of power distribution networks is incorporated in the proposed method. It is to adjust PDN topology by coordinating the behavior of switches and leverage HPR and MDG for optimally allocating energy. Third, the model and enhancement measures are formulated into mixed-inter linear programming to facilitate efficient solving. The developed method is applied to a benchmark PWS with 33 power buses and 25 water nodes. The simulation results demonstrate the effectiveness of our method.
AB - The intertwined interdependencies existing in power-water systems (PWS) increase the risk of cascading failures during post-interruption scenarios and affect the overall resiliency. Towards a more resilient operation of damaged PWS, this paper presents a resilience enhancement methodology to improve serviceability with mobile distributed generators (MDGs) and high-proportional renewables (HPR). First, the PWS is comprehensively modeled with component mechanisms and flow constraints. The interdependencies, including the power needs for water components, are modeled at component level. Second, various resources, such as extensively installed solar HPR units and MDGs, are coordinated to supply damaged PWS and reduce unsupplied loads. Reconfigurability of power distribution networks is incorporated in the proposed method. It is to adjust PDN topology by coordinating the behavior of switches and leverage HPR and MDG for optimally allocating energy. Third, the model and enhancement measures are formulated into mixed-inter linear programming to facilitate efficient solving. The developed method is applied to a benchmark PWS with 33 power buses and 25 water nodes. The simulation results demonstrate the effectiveness of our method.
KW - high-proportional renewables
KW - mobile distributed generators
KW - power-water system
KW - reconfiguration
KW - Resilience
UR - http://www.scopus.com/inward/record.url?scp=85200708325&partnerID=8YFLogxK
U2 - 10.1109/ICPST61417.2024.10602368
DO - 10.1109/ICPST61417.2024.10602368
M3 - Conference article in proceedings
AN - SCOPUS:85200708325
T3 - 2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024
SP - 1943
EP - 1948
BT - 2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024
PB - IEEE
T2 - IEEE International Conference on Power Science and Technology
Y2 - 9 May 2024 through 11 May 2024
ER -