Application of hybrid crow-search with particle swarm optimization algorithm in AGC studies of multi-area systems. (17th February 2020)

• Record Type: Journal Article
• Authors: Babu, Naladi Ram; Bhagat, Sanjeev Kumar; Saikia, Lalit Chandra; Chiranjeevi, Tirumalasetty
• Is Part Of: Journal of discrete mathematical sciences & cryptography. Volume 23:Number 2(2020)
• Page Start: 429
• Page End: 439
• Publication Date: 2020-02-17
• Subjects: 34H05; AGC -- AC-HVDC tie-line -- hCA-PSO -- I-TDN controller -- sensitivity analysis; Computer science -- Mathematics -- Periodicals; Cryptography -- Periodicals; Computer science -- Mathematics; Cryptography; Periodicals; 004.0151
• DOI: 10.1080/09720529.2020.1728896
• Languages: English
• ISSNs: 0972-0529

Abstract

Abstract: This article presents the hybridization of crow-search algorithm with particle swarm optimization (hCA-PSO) in automatic generation control (AGC) studies. A new controller termed by integral-minus-tilt-derivative-control with filter (I-TDN) is proposed and its dynamics are compared with PIDN and TIDN. The proposed controller parameters are optimized by the proposed hCA-PSO technique and are compared with CA, PSO algorithms and are found to be better in terms of settling time, oscillation magnitude. Moreover, the integration of HVDC tie-lines improves system dynamics over AC tie-line. Further, sensitivity analysis suggests that system dynamics with I-TDN controller optimized by hCA- PSO technique obtained at diverse and nominal conditions are robust.