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Innovative Research Initiative on Complex Interactive Networks for Enhanced Resilience

This joint initiative by EPRI and the DoD focuses on advancing complex interactive networks through research. With a budget of $30M over five years, this program aims to develop innovative tools and techniques that enable large-scale infrastructures—like energy, telecommunications, and transportation—to self-stabilize, self-optimize, and self-heal. Key objectives include modeling dynamics, enhancing measurement techniques, and creating distributed management systems that can withstand cascading failures. Selected consortia from prestigious universities will collaborate to explore these challenges and develop viable solutions.

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Innovative Research Initiative on Complex Interactive Networks for Enhanced Resilience

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  1. EPRI/DoD Initiative on Complex Interactive Networks/Systems • Joint innovative research • EPRI and • Office of the Director of Defense Research and Engineering (ODDR&E)/Army Research Office (ARO) • Government Industry Cooperative University Research (GICUR) program • Budget: $30M for 5 years, $6M per year (half from DoD, half from EPRI) • Research Announcement: http://www.aro.army.mil/research/complex.htm • Presentation package at: http://www.epri.com/srd/cinsi • Workshop: IEEE Conf. on Decision & Control, Dec. 5, 1999, Phoenix

  2. Complex Interactive Networks/Systems Initiative • Complex interactive networks are omnipresent • Energy infrastructure • Telecommunication • Transportation and distribution • Banking and finance • They are fundamental to the economy and our quality of life.

  3. Cascading, Dependencies, Interactions, Large-scale Many nodes + Very many links + Vulnerability tocascading failures - owners, operators, sellers, buyers, customers. • Multi-layered, multi-resolutional intertwined grids. • Too complex for single central entity to evaluate, monitor, and manage in real time. • Too complex for conventional mathematical methodologies.

  4. Technical Objectives Develop tools/techniques that enable large-scale and interconnected national infrastructures to: self-stabilize, self-optimize, self-heal • Modeling: To develop techniques and simulation tools that help build a basic understanding of the dynamics of complex infrastructures. • Measurement: To develop measurement techniques for visualizing and analyzing large-scale emergent behavior in complex infrastructures. • Management: To develop distributed systems of management and control to keep infrastructures robust and operational.

  5. Selected Consortia: Technical AreasReviewed 30 proposals, selected and recommended funding of 6 consortia; selected 15 other consortia for potential funding. • Power Laws and the Power Grid: A Mathematical Foundation for Complex Interactive Networks Consortium: CalTech, MIT, UCLA, UC-Santa Barbara, U of Pittsburgh • Basic theory of complex interactive systems with application to power and communication networks • Power laws and the power grid: Analysis of optimization-induced power-law behavior in idealized networks (thousands of nodes). • Development of nonlinear model reduction capability to study dynamic models of the power grid of moderate scale (up to a hundred generators). • Context-Dependent Network Agents Consortium: Carnegie Mellon U, RPI, Texas A&M U, U of Minnesota, U of Illinois • Context-dependent network (CDN) agents; agent templates and components and development of models for restructured power system models • Power system modeling framework that maps global conditions into a distributed decision making architecture. • Real-time infrastructure for the agent modules and robust operating system for data communication: Development and demonstration of a context-dependent agent module architecture and preliminary agent coordination rules on two test scenarios.

  6. Selected Consortia: Technical Areas • Minimizing Failures While Maintaining Efficiency of Complex Interactive Networked Systems Consortium: Cornell U, George Washington U,UC-Berkeley, U of Illinois, Washington State U, U of Wisconsin • Implications of a wide distribution of independent entities actively interacting through and with complex interactive infrastructure networks.Potential for local actions to create effects that cascade throughout the network and/or into other networks. • Stochastic analysis and reliable performance of complex networks. • Definition and formulation of the layered network and their attributes. Coordinated approach to the several communication systems needed for the emergent power system. • Modeling and Diagnosis Methods for Large-Scale Complex Networks Consortium: Harvard U, Boston U, MIT, UMASS-Amherst, Washington U.-St. Louis • Discrete Event Dynamical Systems (DEDS): Simulation modeling of complex networks • Modeling and diagnosis methods for large-scale networks • Development advanced simulation tools (perturbation analysis and ordinal optimization) to improve robust stability and quick detection of faults in complex systems.

  7. Selected Consortia: Technical Areas • Intel. Manag’t of the Electric Power Grid: Anticipatory Multi-Agent, High Perf. Computing Approach Consortium: Purdue U, U of Tennessee, Fisk U, Commonwealth Edison, TVA • Energy Infrastructure management • Anticipatory multi-agent, high performance computing • Modeling of part of the grid (ComEd/TVA) for use in the development and testing of an anticipatory approach. • Innovative Tech. for Defense Against Catastrophic Failures of Complex, Interactive Power Networks Consortium: U of Washington, Arizona State U, Iowa State U, Virginia Tech • WAM for infrastructures • Self-healing strategies for competitive environments: Interactive power networks. • Conceptual design of the Strategic Power Infrastructure Defense (SPID) system: Model of the electricity markets; control and protection strategies against catastrophic failures; sensing, information, computing and control strategies.

  8. Deliverable Map Challenges Reliable and Robust Operation

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