Application of Moth Flame Optimization Algorithm for AGC of Multi-Area Interconnected Power Systems
Ajit Kumar Barisal and
Deepak Kumar Lal
Additional contact information
Ajit Kumar Barisal: VSS University of Technology, Burla, India
Deepak Kumar Lal: Veer Surendra Sai University of Technology, Burla, India
International Journal of Energy Optimization and Engineering (IJEOE), 2018, vol. 7, issue 1, 22-49
Abstract:
A novel attempt has been made to use Moth Flame Optimization (MFO) algorithm to optimize PI/PID controller parameters for AGC of power system. Four different power systems are considered in the present article. Initially, a two area thermal power system is considered for simulation. The superiority of the proposed MFO optimized PI/PID controller has been demonstrated by comparing the results with recently published approaches such as conventional, GA, BFOA, DE, PSO, Hybrid BFOA-PSO, FA and GWO algorithm optimized PI/PID controller for the same power system model. Then, a sensitivity analysis is carried out to study the robustness of the system to wide changes in the operating conditions and system parameters from their nominal values. The proposed approach is extended to different realistic multi-area multi-source power systems with diverse sources of power generations for simulation study. The acceptability and efficacy of the proposed technique is demonstrated by comparing with other recently published techniques.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJEOE.2018010102 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jeoe00:v:7:y:2018:i:1:p:22-49
Access Statistics for this article
International Journal of Energy Optimization and Engineering (IJEOE) is currently edited by Jose Marmolejo-Saucedo
More articles in International Journal of Energy Optimization and Engineering (IJEOE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().