Open AccessApplication of Edge theorem for robust stability analysis of a power system with participating wind power plants in automatic generation control task
Author(s) -
Toulabi Mohammadreza,
Bahrami Shahab,
Ranjbar Ali Mohammad
Publication year - 2017
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.2016.0931
Subject(s) - automatic generation control , control theory (sociology) , electric power system , wind power , automatic frequency control , task (project management) , power (physics) , economic shortage , stability (learning theory) , mode (computer interface) , engineering , computer science , control engineering , control (management) , electrical engineering , linguistics , physics , philosophy , systems engineering , quantum mechanics , artificial intelligence , machine learning , government (linguistics) , operating system
This study investigates the dynamic participation of wind power plants (WPPs) in the automatic generation control (AGC) task. The pre‐specified model of wind farm in the AGC studies has been used. It is shown that operating of WPPs at the command mode results in a significant improvement in the frequency behaviour of power system due to their faster response. However, the WPPs may change their operation mode from the command mode to the maximum power point mode according to the wind speed conditions and load variations. This reduces the improvement in the frequency response. In this condition, the shortage in the wind power should be compensated by the conventional units. Thus, the share of different units becomes uncertain (but bounded) when the WPPs participate in the AGC task. To address this challenge, this study provides the robust stable frequency operation of power system under uncertain shares of different units in the AGC task using the Edge theorem. Simulations are performed on an IEEE 39‐bus test system connected to some wind farms in different buses. Results confirm the robust stability of the underlying power system, and hence, the effective capability of the wind farms to participate in the AGC task.