Model order reduction based LFC analysis of an autonomous microgrid

This paper investigates the load frequency control (LFC) issue of an autonomous microgrid (MG). A conventional proportional-integral-derivative with filter (PIDF) controller is implemented to reduce the oscillations in the system frequency. Gains of the controller are optimized using a newly developed metaheuristic optimization algorithm known as sine cosine algorithm (SCA). A reduced order model (ROM) of the autonomous MG is derived and investigated. Time and frequency responses (TFR) of the ROM are compared with that of the normal order model (NOM) of the MG. Results demonstrate that the TFRs of the ROM approximately replicate that of the NOM of the MG. Frequency dynamics of the autonomous MG with the proposed SCA based controller are obtained subject to multiple disturbances and are compared with other algorithms of repute available in literature. Results clearly demonstrate the superiority of the proposed controller in terms of reduced frequency oscillations, peak over/undershoots (P O/P U) and settling time (T
set
).