Open AccessAn enhanced and auto‐tuned power system stabilizer based on optimized interval type‐2 fuzzy PID scheme
Author(s) -
Shokouhandeh Hassan,
Jazaeri Mostafa
Publication year - 2018
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2469
Subject(s) - control theory (sociology) , stabilizer (aeronautics) , pid controller , electric power system , controller (irrigation) , fuzzy logic , power (physics) , control engineering , interval (graph theory) , stability (learning theory) , engineering , computer science , control (management) , mathematics , temperature control , physics , biology , mechanical engineering , quantum mechanics , artificial intelligence , combinatorics , agronomy , machine learning
Summary In this paper, an innovative optimized type‐2 fuzzy PID power system stabilizer is proposed to enhance the stability of the power system. This stabilizer is a combination of PID controller and type‐2 fuzzy set whose parameters have been optimized with Hybrid Big Bang‐Big Crunch (HBB‐BC) algorithm. This combination makes the stabilizer to be flexible in face of changing in operating points of the power system and also encountering to power system nonlinearities and uncertainties. The main sources of uncertainties in the power system are the uncertainties in operation conditions, power system parameters, and measurement devices. Uncertainties do not allow the stabilizer to offer its full capabilities, and hence the efforts of the stabilizer may not satisfy the expectations. In order to evaluate the performance of the proposed controller, 2 case studies under different disturbances are investigated. The obtained results show that the proposed stabilizer can suitably provide appropriate damping in oscillatory modes of the system.