Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2018.1465688
A modified whale optimization algorithm-based adaptive fuzzy logic PID controller for load frequency control of autonomous power generation systems
Raghuraman Sivalingam
; Department of Electrical and Electronics Engineering, Velammal Engineering College, Chennai, India
Subramani Chinnamuthu
; Department of Electrical and Electronics Engineering, SRM University, Chennai, India
Subhransu Sekhar Dash
; Department of Electrical and Electronics Engineering, SRM University, Chennai, India
Sažetak
An autonomous power generation system (APGS) contains units such as diesel energy generator, solar photovoltaic units, wind turbine generator and fuel cells along with energy-storing units such as the flywheel energy storage system and battery energy storage system. The components either run at lower/higher power output or may turn on/off at different instants of their operation. Due to this, the conventional controllers will not provide desired performance under varied load conditions. This paper proposes an adaptive fuzzy logic PID (AFPID) controller for load frequency control. In order to achieve an improved performance, a modified whale optimization algorithm (mWOA) was also proposed in this paper for tuning of the AFPID parameters. The
proposed algorithm was first evaluated using standard test functions and compared with other recent algorithms to authenticate the competence of algorithm. The proposed mWOA algorithm
outperforms PSO, GSA, DE and FEP algorithms in five out of seven unimodal test functions and four out of six multimodal test functions. The effectiveness of the AFPID compared with the conventional
PID and the proposed AFPID provides better performance. Reduction of 39.13% in error criteria (objective function) compared with WOA-PID controller. The proposed approach was also compared with some recently proposed frequency control approaches in a widely used two-area test system.
Ključne riječi
Autonomous power generation system; load frequency control (LFC); whale optimization algorithm (WOA); adaptive fuzzy logic PID controller (AFPID)
Hrčak ID:
203411
URI
Datum izdavanja:
18.6.2018.
Posjeta: 1.730 *