Open AccessLoad frequency control of smart isolated power grids with high wind farm penetrations
Author(s) -
Kazemi Golkhandan Reza,
Torkaman Hossein,
Aghaebrahimi Mohammad Reza,
Keyhani Ali
Publication year - 2020
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.2019.0601
Subject(s) - control theory (sociology) , frequency deviation , automatic frequency control , controller (irrigation) , wind power , turbine , electric power system , smart grid , rotor (electric) , wind speed , engineering , fuzzy logic , computer science , power (physics) , control (management) , telecommunications , electrical engineering , agronomy , meteorology , mechanical engineering , physics , quantum mechanics , artificial intelligence , biology
The increasing contribution of wind turbine generators (WTGs) in power grids requires the control of wind generators and their impacts on the load frequency control (LFC). In this study, a detailed strategy for the control of WTGs in a smart power grid for LFC is presented. The WTGs are controlled by applying fuzzy logic controller with three inputs from wind velocity, frequency deviations, and wind velocity changes per second. The control takes into account for each WTG, an improved pitch angle controller to assist in fast damping of frequency deviations due to sudden high wind. Also, a feedback signal from frequency deviations, with the participation factor determined by a smart learning‐based intelligent controller (BELBIC) is used to determine rotor speed deviations. The controller facilitates frequency stability, and lower variations in the output power of conventional units. Simulation results, performed on a test system with three interconnected zones, validate the effectiveness of the proposed control strategy.