Open AccessSVSM calculation of power system with high wind‐power penetration
Author(s) -
Lin Shunjiang,
Lu Yuan,
Liu Mingbo,
Yang Yuerong,
He Sen,
Jiang Hao
Publication year - 2019
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2018.6144
Subject(s) - control theory (sociology) , wind power , electric power system , mathematics , interval (graph theory) , monte carlo method , computation , power (physics) , computer science , algorithm , engineering , statistics , physics , electrical engineering , control (management) , quantum mechanics , combinatorics , artificial intelligence
Calculation of the static voltage stability margin (SVSM) of power system with high wind‐power penetration must consider the uncertain fluctuation of power output from wind farms (WFs). On the basis of a continuous power flow (CPF) and improved affine interval (IAI) algorithm that considers quadratic terms, a new method to calculate the SVSM interval of a power system that considers the uncertain fluctuation intervals of WF output is proposed. Considering the high penetration of wind power, the power variation of the active load, and wind‐power fluctuation are assigned by all conventional generators, except the swing generator in the CPF calculation model. In the proposed IAI algorithm, the non‐linear second‐order sensitivities are considered to obtain a more accurate SVSM interval. With the correlation of different WF output intervals described by relative angles, as well as the independent intervals obtained by decorrelation of the correlated WF output intervals, the SVSM interval is calculated by the CPF and IAI algorithms. Take the IEEE 39‐bus system and an actual 964‐bus provincial power grid as examples, and compared with Monte Carlo method, the results show that the SVSM interval calculated by the proposed method is more accurate, and the computation time is significantly reduced.