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Title: Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch

Conference ·

With the increasing connectedness and interdependence of systems that are stochastic in nature, the issue of how to manage and coordinate them for safe operation has evidently become more important. In many networked system architectures, the system-wide output must be delicately managed, often within a prescribed set of bounds. In this paper, a novel control framework is proposed where the bounds on the outputs are translated into independent bounds on the controllable inputs of each subsystem. The main benefit of this framework is that respecting the individual control bounds suffices to guarantee that the system-wide outputs will remain within safe boundaries. Because the systems are assumed to be stochastic, the bounds on the output are introduced as probabilistic chance constraints. The benefits of this framework are demonstrated by applying it to the control of distributed energy resources in a distribution network where the main goal is to keep the voltage magnitudes within their prescribed bounds. The control bounds are evaluated using real data on an IEEE test system.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
DOE Contract Number:
Report Number(s):
NREL/CP-5D00-84522; MainId:85295; UUID:18c2a43c-ed06-485a-bb86-4b3ba369af67; MainAdminID:67970
Resource Relation:
Conference: Presented at the 2022 American Control Conference (ACC), 8-10 June 2022, Atlanta, Georgia; Related Information: 81300
Country of Publication:
United States

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