Affiliations: [a] Department of Electrical Engineering, National Institute of Science and Technology, Berhampur, Odisha, India
| [b] Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, India
| [c] Faculty of Information Technology, University of Technology-Logistics of Public Security, Viet Nam
| [d] Faculty of Engineering and Natural Science, Bahcesehir University, Istanbul, Turkey
Correspondence:
[*]
Corresponding author. Tofigh Allahviranloo, Ph.D., Faculty of Engineering and Natural Science, Istinye University, Istanbul, Turkey. E-mail: [email protected].
Abstract: 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.
Keywords: Modified grasshopper optimization algorithm, static synchronous series compensator, adaptive fuzzy lead-lag controller, power system stability
