Open AccessFrequency control in hybrid distributed power systems via type‐2 fuzzy PID controller
Author(s) -
Kumar Khadanga Rajendra,
Kumar Amit,
Panda Sidhartha
Publication year - 2021
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/rpg2.12140
Subject(s) - pid controller , control theory (sociology) , benchmark (surveying) , controller (irrigation) , automatic frequency control , computer science , fuzzy logic , electric power system , power (physics) , control engineering , control (management) , engineering , temperature control , artificial intelligence , telecommunications , agronomy , physics , quantum mechanics , biology , geography , geodesy
In this research article, a novel approach is proposed by considering a modified equilibrium optimization (MEO) algorithm based “interval type‐2 fuzzy proportional integral derivative (IT2FPID) controller” for the load frequency control of the multi‐area hybrid power system. The performance of the modified algorithm is tested by comparing it with the standard EO algorithm considering various standard benchmark test functions. Further, the efficacy of the MEO algorithm is tried by planning an IT2FPID controller for frequency regulation of the said hybrid system. The supremacy of the MEO‐based IT2FPID controller is introduced by comparing its outcomes with MEO‐based T1FPID structure, MEO‐based conventional PID and EO‐based PID controller techniques. It is observed that the MEO‐based IT2FPID controller is more effective compared to others.