Open AccessConventional and fuzzy PODCs for DFIG‐based wind farms and their impact on inter‐area and torsional oscillation damping
Author(s) -
RamirezGonzalez Miguel,
Malik Om,
CastellanosBustamante Rafael,
CalderonGuizar Guillermo
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2016.0138
Subject(s) - control theory (sociology) , oscillation (cell signaling) , fuzzy logic , eigenvalues and eigenvectors , computer science , perturbation (astronomy) , doubly fed electric machine , electric power system , damping ratio , fuzzy control system , power (physics) , physics , ac power , vibration , acoustics , control (management) , genetics , quantum mechanics , artificial intelligence , biology
Contribution to the damping of inter‐area and torsional oscillation modes, in doubly fed induction generators (DFIG) based wind farms, by power oscillation damping controllers (PODCs) based on two conventional structures and a fuzzy control strategy is investigated in this study. In this regard, a PODC with no lead/lag compensation is designed first and then a PODC with one lead/lag block is developed using eigenvalue techniques and the application of an iterative process based on the bat optimisation algorithm (BOA). Moreover, a fuzzy PODC, based on a simple fuzzy controller and tuned with the BOA according to the system transient response under a critical perturbation, is also designed. Comparative performance of the three PODCs is evaluated on a multi‐machine power system. It is observed that all three PODCs can contribute to improving the damping of inter‐area oscillations. However, eigenvalue analysis and non‐linear time domain simulations reveal that each of them may also impact to a lesser or greater extent the shaft torsional oscillation mode damping. Their relative impact in this regard is also investigated.