Stochastic Model for Power Grid Dynamics

dc.creatorAnghel, Marian
dc.creatorWerley, Kenneth A.
dc.creatorMotter, Adilson E.
dc.date2006-09-24
dc.date.accessioned2026-07-07T07:26:13Z
dc.date.available2026-07-07T07:26:13Z
dc.descriptionWe introduce a stochastic model that describes the quasi-static dynamics of an electric transmission network under perturbations introduced by random load fluctuations, random removing of system components from service, random repair times for the failed components, and random response times to implement optimal system corrections for removing line overloads in a damaged or stressed transmission network. We use a linear approximation to the network flow equations and apply linear programming techniques that optimize the dispatching of generators and loads in order to eliminate the network overloads associated with a damaged system. We also provide a simple model for the operator's response to various contingency events that is not always optimal due to either failure of the state estimation system or due to the incorrect subjective assessment of the severity associated with these events. This further allows us to use a game theoretic framework for casting the optimization of the operator's response into the choice of the optimal strategy which minimizes the operating cost. We use a simple strategy space which is the degree of tolerance to line overloads and which is an automatic control (optimization) parameter that can be adjusted to trade off automatic load shed without propagating cascades versus reduced load shed and an increased risk of propagating cascades. The tolerance parameter is chosen to describes a smooth transition from a risk averse to a risk taken strategy...
dc.descriptionframework for a system-level analysis of the power grid from the viewpoint of complex networks
dc.identifierhttps://arxiv.org/abs/physics/0609217
dc.identifierhttp://arxiv.org/abs/physics/0609217
dc.identifierProceedings of the Fortieth Hawaii International Conference on System Sciences, January 3-6, 2007, Big Island, Hawaii
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/116996
dc.subjectPhysics and Society
dc.subjectDisordered Systems and Neural Networks
dc.subjectOther Condensed Matter
dc.subjectOther Computer Science
dc.titleStochastic Model for Power Grid Dynamics
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