Agent-based distribution circuit automation
Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, , , 2008
Abstract: This paper presents results from ongoing efforts to (1) equip an existing utility distribution circuit with current automation and communications technology and to (2) develop an agent-based control scheme that can manage the distribution circuit in real time. The control scheme is being designed to increase the reliability and efficiency of the circuit by managing reactive power resources, distributed generators and switching devices in real-time according to agreed-upon operating goals. The agent-based control methods are being tested with models of an existing distribution circuit (the ldquocircuit of the futurerdquo) at Southern California Edison, which has recently been retrofitted with an advanced protective scheme using multiple on-circuit fault interrupters with intelligent electronic device (IED) relays, and a DG interconnection point. Additional planned retrofits on the circuit of the future will include a power electronics based dynamic reactive support device. Simulation results in this paper illustrate that the control methods managing and coordinating legacy and advanced devices can significantly improve the voltage profile, reduce losses and decrease restoration times relative to the existing control schemes.
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Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).