
Periodic event‐triggered control of flywheel energy storage matrix systems for wind farms
Author(s) -
Sun Yizhuo,
Hu Jiangping,
Liu Jianxing
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2018.5731
Subject(s) - flywheel , control theory (sociology) , wind power , computer science , reliability (semiconductor) , flywheel energy storage , energy storage , sampling (signal processing) , matrix (chemical analysis) , topology (electrical circuits) , control (management) , mathematical optimization , engineering , mathematics , automotive engineering , power (physics) , detector , physics , materials science , electrical engineering , quantum mechanics , artificial intelligence , composite material , telecommunications
Flywheel energy storage plays a significant role in improving the reliability and efficiency of wind farm operations, in recent years. In order to reduce the communication burden, this study proposes a distributed algorithm based on the event triggered to coordinate the operation of wind farm and flywheel energy storage matrix system (FESMS). Different from the traditional sampling mechanism, a periodic sampling‐based event‐triggered condition, which is based on the disagreement vector and the measurement error, is proposed for the FESMS dispatch problem. Furthermore, a self‐triggered method is also studied as well considering the periodic sampling case. The algorithm achieves ratio consensus in a balanced directed graph topology. By simulation, the effectiveness of the proposed algorithm is verified.