Uncertainty Representation and State Estimation for PEPDS Multi-Rate Analysis and Optimization
Abstract
This project will focus on two functions: (I) modeling and representation of energy uncertainty from distributed resources, and (II), the robust measurement-based state estimation method. Among other things, these two functions will be integrated into the PEPDS-mul,ti-rate analysis platform. Function (1) will be devoted to modeling and representation of energy availability and uncertainty due to, distributed resources and the uncertainty of communication delay. The key output of Function (I) will be a set of credible scenario,s representing the uncertainty using a set of historical data (big data). Since no large shipboard power system data set concerning,energy availability (e.g., from batteries and other sources) is available at this time, the analytical and computational techniques,developed will utilize renewable energy uncertainty data from publicly available terrestrial system data sets. It is expected that t,he resulting analytical and computational techniques will apply to shipboard power systems, in particular, sets of data from Drexel,PEPDS. This set of credible scenarios will then be fed into the PEPDS platform for multi-rate analysis and control/optimization unde,r uncertainty
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 08, 2022
- Source ID
- N000142212440
Entities
People
- Hsiao-Dong Chiang
Organizations
- Cornell University
- Office of Naval Research
- United States Navy