Solution techniques for transient stability-constrained optimal power flow – Part II

Geng, Guangchao; Abhyankar, Shrirang; Wang, Xiaoyu; Dinavahi, Venkata

doi:10.1049/iet-gtd.2017.0346

Title: Solution techniques for transient stability-constrained optimal power flow – Part II

Journal Article · Wed Jun 28 00:00:00 EDT 2017 · IET Generation, Transmission, & Distribution

DOI:https://doi.org/10.1049/iet-gtd.2017.0346· OSTI ID:1393948

Geng, Guangchao ^[1]; Abhyankar, Shrirang ^[2]; Wang, Xiaoyu ^[3]; Dinavahi, Venkata ^[4]

Zhejiang Univ., Zhejiang (People's Republic of China)
Argonne National Lab. (ANL), Argonne, IL (United States)
Carleton Univ., Ottawa (Canada)
Univ. of Alberta, Edmonton, AB (Canada)

Transient stability-constrained optimal power flow is an important emerging problem with power systems pushed to the limits for economic benefits, dense and larger interconnected systems, and reduced inertia due to expected proliferation of renewable energy resources. In this study, two more approaches: single machine equivalent and computational intelligence are presented. Also discussed are various application areas, and future directions in this research area. In conclusion, a comprehensive resource for the available literature, publicly available test systems, and relevant numerical libraries is also provided.

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Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: AC02-06CH11357; DEAC0206CH11357

OSTI ID:: 1393948

Alternate ID(s):: OSTI ID: 1786637

Journal Information:: IET Generation, Transmission, & Distribution, Vol. 11, Issue 12; ISSN 1751-8687

Publisher:: Institution of Engineering and TechnologyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 28 works

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