PES Seminar: A Distributed Energy Management Strategy for Resilient Shipboard Power System
This seminar will be given by Dr. Kexing Lai from OSU. 1.0 hour of CPD credit will be provided to attendees as needed.
Abstract: The shipboard power system of an all-electric ship can be characterized as an isolated microgrid system. To achieve resilient, cost-effective and privacy-preserved operation of the shipboard power system, a novel energy management strategy is introduced in this talk. Currently, a master controller is required for energy management. However, such a centralized energy management strategy suffers from numerous disadvantages. Therefore, a modified nested energy management method is proposed to preserve privacy and run the microgrid system in a distributed manner for plug-and-play operation. Furthermore, the system resilience is enhanced against energy deficiency by reserving more energy in the cloud energy storage system. This is achieved by a distributed algorithm, known as alternating direction method of multipliers (ADMM), to obtain the solution of an optimization problem with contradicting objectives. Numerical studies are presented to demonstrate the benefits of proposed energy management system.
Date and Time
Location
Hosts
Registration
- Date: 30 May 2019
- Time: 05:30 PM to 07:00 PM
- All times are (GMT-05:00) US/Eastern
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- 8100 Walton Parkway
- New Albany, Ohio
- United States 43054
- Building: EASi's Office
- Starts 13 May 2019 06:00 PM
- Ends 30 May 2019 04:00 PM
- All times are (GMT-05:00) US/Eastern
- No Admission Charge
Speakers
Kexing Lai
Biography:
Dr. Kexing Lai received the Bachelor of Engineering degree in electrical engineering from Central South University, Changsha, China, in 2014. He received the Doctor of Philosophy degree in electric power systems from The Ohio State University, Columbus, OH, USA, in May 2019.
His current research interests include microgrid protection, power system planning & operation, power system resilience and reliability analysis, power system economics, and applications of machine learning in power systems.
Agenda
5:30 - 6:00 PM: Arrivals, refreshments (pizza or subs) & networking
6:00 - 7:00 PM: Seminar given by Dr. Kexing Lai from OSU, with time for Q&A