Conference proceeding
A software tool for automated management and supervisory control of shipboard Integrated Power Systems
2012 IEEE Power and Energy Society General Meeting
Jul 2012
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents a software tool for automated management, supervision and control of shipboard Integrated Power Systems (IPS). A formalism of switched dynamic systems is used to develop a framework for optimal and supervisory control of the IPS. Switched dynamical systems are translated to mixed binary and real variable formulas which can be used to compute optimal control by dynamic programming or develop supervision strategies to preserve system integrity during disturbances. The tool consists of a simulation platform capable of representing continuous time differential algebraic power system models of varying fidelity, as well as discrete time events such as faults and reconfiguration. The simulation platform is integrated with symbolic computation tools for controller synthesis. Modular design allows for flexibility in incorporating multiple component and network models while faster than real time simulation speed enables efficient computation of controller strategies.
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2 citations in Scopus
Details
- Title
- A software tool for automated management and supervisory control of shipboard Integrated Power Systems
- Creators
- S Lahiri - Drexel UniversityD Niebur - Drexel UniversityH Kwatny - Drexel UniversityG Bajpai - Techno-Sci., Inc., Beltsville, MD, USAA Beytin - Techno-Sci., Inc., Beltsville, MD, USAJ Patel - Institute of Technology of CambodiaR Kang - Techno-Sci., Inc., Beltsville, MD, USAIEEE
- Publication Details
- 2012 IEEE Power and Energy Society General Meeting
- Conference
- 2012 IEEE Power and Energy Society General Meeting
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000312493700002
- Scopus ID
- 2-s2.0-84870586703
- Other Identifier
- 991019170601604721
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- Web of Science research areas
- Engineering, Electrical & Electronic