Integrating synchrophasor technology with the Oregon State University campus smart grid project

Huo, Chen; Song, Jiajia; Wagner, Kyle; Harold, Greg; Cotilla‐Sanchez, Eduardo

doi:10.1109/sustech.2014.7046231

Cited by 4 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This first is an extrapolated version of the IEEE 14 test case and is represented by an adjacency matrix, where various system attributes such as power generation, regional demand, and system topology are included [38]. The second case study is the OSU Corvallis campus power system [39]. MATPOWER, an open source power system analysis toolbox designed to operate within the MATLAB environment, is used to calculate the quasi-steady state decoupled power flow (DCPF) for both cases [40,41].…”

Section: Contributionsmentioning

confidence: 99%

“…The OSU Corvallis campus power system is the second case study presented. OSU's local microgrid receives its power from the local power utility, a power cogeneration facility, and two large photovoltaic arrays, which are all modeled as generation nodes [39]. The OSU case study information is briefly summarized in Table 1.…”

Section: Case 2: Oregon State University Corvallis Campusmentioning

confidence: 99%

See 1 more Smart Citation

Robust Topology Design of Complex Infrastructure Systems

Piacenza

Proper

Bozorgirad

et al. 2017

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

View full text Add to dashboard Cite

Optimizing the topology of complex infrastructure systems can minimize the impact of cascading failures due to an initiating failure event. This paper presents a model-based design approach for the concept-stage robust design of complex infrastructure systems, as an alternative to modern network analysis methods. This approach focuses on system performance after cascading has occurred and examines design tradeoffs of the resultant (or degraded) system state. In this research, robustness is classically defined as the invariability of system performance due to uncertain failure events, implying that a robust network has the ability to meet minimum performance requirements despite the impact of cascading failures. This research is motivated by catastrophic complex infrastructure system failures such as the August 13th Blackout of 2003, highlighting the vulnerability of systems such as the North American power grid (NAPG). A mathematical model was developed using an adjacency matrix, where removing network connections simulates uncertain failure events. Performance degradation is iteratively calculated as failures cascade throughout the system, and robustness is measured by the lack of performance variability over multiple cascading failure scenarios. Two case studies are provided: an extrapolated IEEE 14 test bus and the Oregon State University (OSU) campus power network. The overarching goal of this research is to understand key system design tradeoffs between robustness, performance objectives, and cost, and explore the benefits of optimizing network topologies during the concept-stage design of these systems (e.g., microgrids).

show abstract

Section: Contributionsmentioning

confidence: 99%

Section: Case 2: Oregon State University Corvallis Campusmentioning

confidence: 99%