Real-Time Simulation and Control of Interdependent Power and Water Infrastructure Using RISE
Nathan Johnson
Arizona State University
Dr. Nathan Johnson is an Assistant Professor at Arizona State University and the Director of the Laboratory for Energy And Power Solutions (LEAPS). His 20-person research team takes energy innovations from concept to construction with a focus on distributed energy resources, smart networks, micro-grid controls, and off-grid solutions. Dr. Johnson manages a one-acre micro-grid test bed to combine simulation-based design with hands-on fabrication and testing to create next-generation solutions to current market needs. Before joining ASU, he spent ten years in industry and academia on energy sector business development projects. Dr. Johnson is also an active educator with training and capacity building programs both inside and outside standard university curricula.
Abstract
Utilities that manage critical infrastructures commonly use Supervisory Control and Data Acquisition (SCADA) tools to visualize and control their network. SCADA systems provide immediate knowledge of the system state to guide... [ view full abstract ]
Utilities that manage critical infrastructures commonly use Supervisory Control and Data Acquisition (SCADA) tools to visualize and control their network. SCADA systems provide immediate knowledge of the system state to guide real-time decisions made by operators. The Resilient Infrastructure Simulation Environment (RISE) combines SCADA capabilities of electric power systems and water distribution systems in an easy to use geographical interface to identify, track, manage, and predict interdependencies and vulnerabilities between infrastructures that are not apparent when looking at one infrastructure in isolation. An example of an interdependency is the 2009 accident at the Sayano-Shushenskaya hydroelectric dam where turbine explosion caused flooding, spilling of oil into the river, power grid blackout, economic loss, and loss of lives. RISE can model extreme events including natural or anthropogenic stressors. The open source infrastructure models implemented are OpenDSS (electrical networks) and EPANET (water distribution) for network flows.
RISE enables exploration of technical investigations for power systems, water systems, interdependent power and water systems, and social investigation in terms of the real-time operation of these technical systems. This is enabled by functionality including drag-and-drop infrastructure design, rapid connection of components, an interdependency wizard, real-time simulation and operation, post-scenario diagnostics, resiliency parameterization and quantification, and a client-server architecture that allows n-many users to work together on a single environment in real-time. Three modes of use are provided: an Editor mode for creating water and power system models, a Simulation mode to run models with users engaging with the system in real-time, and an Analysis mode for performance tracking and data analysis. With the n-many user functionality researchers can explore ways that expert operators and novice trainees manage systems and communicate among individuals, groups, and organizations within and across spatial and temporal scales. RISE is developed to be a revolutionary advancement for knowledge generation, knowledge dissemination, and engineering of interdependent power and water infrastructure models. In summary, the goal of RISE is to assist in answering three key research questions: [1] How do users identify and interpret interdependencies and vulnerabilities between infrastructures? [2] How do experts identify, track, and mitigate cascading failures before they happen? [3] What are the key decision variables for operating a resilient infrastructure system?
Authors
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Brandon Gorman
(Arizona State University)
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Derek Hamel
(Arizona State University)
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Emily Bondank
(Arizona State University)
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Sean Scott
(Arizona State University)
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Daniel Carmody
(Arizona State University)
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Aaron Lajom
(Arizona State University)
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Mikhail Chester
(Arizona State University)
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Nathan Johnson
(Arizona State University)
Topic Areas
• Sustainable energy systems , • Infrastructure systems, the built environment, and smart and connected infrastructure , • Decision support methods and tools
Session
MS-18 » Computational methods to support decision-making (14:00 - Monday, 26th June, Room I)
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