Open AccessSolution techniques for transient stability‐constrained optimal power flow – Part I
Author(s) -
Abhyankar Shrirang,
Geng Guangchao,
Anitescu Mihai,
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.2017.0345
Subject(s) - power flow , transient (computer programming) , computer science , stability (learning theory) , mathematical optimization , electric power system , state space , space (punctuation) , series (stratigraphy) , flow (mathematics) , power (physics) , mathematics , machine learning , statistics , physics , quantum mechanics , operating system , paleontology , geometry , biology
This series of studies present the state‐of‐the‐art for the solution of the transient stability constrained optimal power flow problem (TSC‐OPF). Three different classes of solution techniques: dynamic optimisation‐based, SIME method, and computational intelligence, are discussed in detail. Moreover, discussed are issues to consider while solving such problems, various application areas, and future directions in this research area. A comprehensive resource of the available literature, publicly available test systems, and relevant numerical libraries is also provided. This study presents the TSC‐OPF formulation and discusses various dynamic optimisation‐based approaches. Two optimisation techniques, full‐space and reduced‐space method, are presented for solving the resulting non‐linear optimisation problem.