Mobile Power Sources for Resilience Enhancement in Unbalanced Power Distribution Networks

During the past few decades, high-impact low-probability (HILP) events have threatened more frequently the security of the electric power system, especially the power distribution network (PDN) which is particularly vulnerable due to its radial topology and limited backup resources. With the vulnerability of PDN, the traditional reliability techniques are insufficient to support the PDN to restore efficiently under the attack of HILP events. Since most existing PDNs remain with unbalanced characteristics (e.g., the unbalanced circuit structure and unbalanced load), it has become more critical to design the service restoration strategies in unbalanced PDNs when encountering a HILP event. This thesis mainly investigates the potential of using mobile power sources (MPSs) to boost the unbalanced PDN resilience. A mixed-integer linear programming (MILP) optimization model is proposed for resilience enhancement of an unbalanced PDN considering the application of MPSs. The proposed model can provide the optimal routing and scheduling of MPSs and the restoration ratio of the unbalanced PDN. Case studies in the IEEE 37-node test feeder demonstrate the efficacy of the proposed model on resilience improvement of the unbalanced PDN, under a variety of outage and failure scenarios.

Author

• Xie, Chengzhi

Language

• en

Keyword

• mobile power sources (MPSs)
• optimization modeling
• unbalanced power distribution networks (PDNs)
• resilience enhancement
• routing and scheduling
• high-impact low-probability (HILP) hazards

Date created

• 2021

Type of Work

• Master's Thesis

License

• All rights reserved

Rights statement

• In Copyright

GW Unit

• Electrical Engineering

Degree

• M.S.

Advisor

• Ahmadi, Shahrokh

Committee Member(s)

• Dehghanian, Payman
• Aslani, Amir

Persistent URL

•  https://scholarspace.library.gwu.edu/etd/r207tq124