Modified grasshopper optimization algorithm optimized adaptive fuzzy lead-lag controller for coordinated design of FACTS controller with PSS
Küçük Resim Yok
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IOS PRESS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper proposes adaptive fuzzy lead-lag controller structures for power system stabilizer and flexible AC transmission system based damping controllers to increase the stability of power system. The parameters of the proposed controller are tuned by a modified grasshopper optimization algorithm (MGOA). The new algorithm named MGOA accomplishes a proper balance between exploration and exploitation phases of original grasshopper optimization algorithm. This capability of MGOA is certified by using the benchmark functions by comparing with that of a grasshopper optimization algorithm, genetic algorithm, evolutionary strategies, particle swarm optimization, bat algorithm, population based incremental learning, flower pollination algorithm, monarch butterfly optimization and improved monarch butterfly optimization. The proposed controller is optimized and verified under various loading circumstances using MGOA method. The results of MGOA are compared with grasshopper optimization algorithm, genetic algorithm, and particle swarm optimization. Additionally, the results of the proposed MGOA are compared with conventional lead-lag controller to demonstrate its superiority.
Açıklama
Anahtar Kelimeler
Modified Grasshopper Optimization Algorithm, Static Synchronous Series Compensator, Adaptive Fuzzy Lead-lag Controller, Power System Stability
Kaynak
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
43
Sayı
4
Künye
Sahu, P. R., Hota, P. K., Panda, S., Long, H. V., & Allahviranloo, T. Modified grasshopper optimization algorithm optimized adaptive fuzzy lead-lag controller for coordinated design of FACTS controller with PSS. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-20.
