Selfish Herd Optimisation based fractional order cascaded controllers for AGC study
| Main Authors: | Sahoo, Subhadra; Department of Electrical Engineering, Siksha O Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, Jena, Narendra Kumar; Department of Electrical Engineering, Siksha O Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, Sahu, Binod Kumar; Siksha O Anusandhan University, Ray, Prakash Kumar; Department of Electrical Engineering, College of Engineering and TEchnology, Bhubaneswar, Odisha, India |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
IAES Indonesian Section
, 2021
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| Subjects: | |
| Online Access: |
http://section.iaesonline.com/index.php/IJEEI/article/view/3009 http://section.iaesonline.com/index.php/IJEEI/article/view/3009/634 |
Daftar Isi:
- In a modern, and complex power system (PS), robust controller is obligatory to regulate the frequency under uncertain load/parameter change of the system. In addition to this, presence of nonlinearities, load frequency control (LFC) of a Power System becomes more challenging which necessitates a suitable, and robust controller. Single stage controller does not perform immensely against aforesaid changed conditions. So, a novel non-integer/fractional order (FO) based two-stage controller incorporated with 2-degrees of freedom (2-DOF), derivative filter (N), named as 2-DOF-FOPIDN-FOPDN controller, is adopted to improve the dynamic performance of a 3-area power system. Each area of the power system consists of both non-renewable and renewable generating units. Again, to support the superior performance of 2-DOF-FOPIDN-FOPDN controller, it is compared with the result produced by PID, FOPID, and 2-DOF-PIDN-PDN controllers. The optimal design of these controllers is done by applying Selfish Herd Optimisation (SHO) technique. Further, the robustness of the 2-DOF-FOPIDN-FOPDN controller is authenticated by evaluating the system performance under parameter variation. The work is further extended to prove the supremacy of SHO algorithm over a recently published article based on pathfinder algorithm (PFA).