Sparse Error Correction for Pmu Data Under GPS Spoofing Attacks

Silva, Shashini De; Hagan, Travis; Kim, Jinsub; Cotilla‐Sanchez, Eduardo

doi:10.1109/globalsip.2018.8645973

Cited by 7 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For relatively smaller projects, like a substation capacity upgrade, a utility, possibly aided by external engineering consulting companies, develops a plan that follows more closely immediate technical needs, as well as other forecasted elements, like local population changes and natural hazard risks. At this level of planning timescales, power system analysis can benefit from additional input from complex system studies that, for example, ascertain the inherent resilience of networks according to their topology [156], improve the observability of sensors connected throughout the network [157,158], or allow for the detection and correction of cyber attacks [159].…”

Section: Network Evolution and Observabilitymentioning

confidence: 99%

Resilience in an Evolving Electrical Grid

et al. 2021

Self Cite

View full text Add to dashboard Cite

Fundamental shifts in the structure and generation profile of electrical grids are occurring amidst increased demand for resilience. These two simultaneous trends create the need for new planning and operational practices for modern grids that account for the compounding uncertainties inherent in both resilience assessment and increasing contribution of variable inverter-based renewable energy sources. This work reviews the research work addressing the changing generation profile, state-of-the-art practices to address resilience, and research works at the intersection of these two topics in regards to electrical grids. The contribution of this work is to highlight the ongoing research in power system resilience and integration of variable inverter-based renewable energy sources in electrical grids, and to identify areas of current and further study at this intersection. Areas of research identified at this intersection include cyber-physical analysis of solar, wind, and distributed energy resources, microgrids, network evolution and observability, substation automation and self-healing, and probabilistic planning and operation methods.

show abstract

Section: Network Evolution and Observabilitymentioning

confidence: 99%

Resilience in an Evolving Electrical Grid

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…In our previous work [18], an alternating minimization (AM) algorithm to jointly perform SE and attack phase angle reconstruction is developed. A sparse error correction for PMU data under GPS spoofing attacks is presented in [19]. A novel GPS spoofing identification and correction algorithm for SE in unbalanced distribution grids is developed in [20].…”

Section: Introductionmentioning

confidence: 99%

Multi-period Power System State Estimation with PMUs Under GPS Spoofing Attacks

Risbud

Gatsis

Taha

2020

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

This paper introduces a dynamic network model together with a phasor measurement unit (PMU) measurement model suitable for power system state estimation under spoofing attacks on the global positioning system (GPS) receivers of PMUs. The spoofing attacks may introduce time-varying phase offsets in the affected PMU measurements. An algorithm is developed to jointly estimate the state of the network, which amounts to the nodal voltages in rectangular coordinates, as well as the time-varying attacks. The algorithm features closedform updates. The effectiveness of the algorithm is verified on the standard IEEE transmission networks. It is numerically shown that the estimation performance is improved when the dynamic network model is accounted for compared with a previously reported static approach.

show abstract