Open AccessSolution techniques for transient stability‐constrained optimal power flow – Part II
Author(s) -
Geng Guangchao,
Abhyankar Shrirang,
Wang Xiaoyu,
Dinavahi Venkata
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.0346
Subject(s) - transient (computer programming) , electric power system , inertia , computer science , renewable energy , power flow , stability (learning theory) , resource (disambiguation) , power (physics) , mathematical optimization , flow (mathematics) , control theory (sociology) , engineering , mathematics , electrical engineering , physics , control (management) , machine learning , artificial intelligence , operating system , computer network , geometry , classical mechanics , quantum mechanics
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. A comprehensive resource for the available literature, publicly available test systems, and relevant numerical libraries is also provided.