Open AccessA novel fuzzy tuned multistage PID approach for frequency dynamics control in an islanded microgrid
Author(s) -
Annamraju Anil,
Nandiraju Srikanth
Publication year - 2020
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 - 10.1002/2050-7038.12674
Subject(s) - control theory (sociology) , pid controller , microgrid , settling time , automatic frequency control , overshoot (microwave communication) , blackout , control engineering , computer science , fuzzy logic , controller (irrigation) , parametric statistics , renewable energy , electric power system , matlab , engineering , step response , power (physics) , control (management) , temperature control , mathematics , artificial intelligence , telecommunications , physics , biology , operating system , quantum mechanics , agronomy , statistics , electrical engineering
Objective In microgrid (MG), besides the load perturbation, volatile nature in renewable output power along with energy storage system and inertia uncertainties cause large frequency deviations which may weaken the MG and could lead to complete blackout. Therefore, MG requires an intelligent, efficient and robust control method. Methods In response to this challenge, this paper proposes a novel fuzzy logic approach (FLA) tuned multistage PID controller for frequency control of an islanded MG in the presence of high renewable penetration. The proposed controller is intended for principal parameter tuning of multistage PID controller under critical operating conditions as mentioned in the objective. Results The real‐time MG test system is considered to present the simulation results. The test system is modelled in Matlab/Simulink. The results are carried out under different operating scenarios and the performances of the proposed technique are compared with various existing techniques in the literature. Conclusions The simulation outcomes divulge that the proposed controller is more superior in improving the frequency dynamics of the MG (in terms of settling time, overshoot and error reduction) under various disturbance conditions. Furthermore, the proposed controller is more robust to renewable and energy storage system uncertainties in MG and less sensitive to MG parametric variations as compared to other controllers in literature.