Open AccessIdeal position and size selection of unified power flow controllers (UPFCs) to upgrade the dynamic stability of systems: An antlion optimiser and invasive weed optimisation Algorithm
Author(s) -
Mythili Shanmugam,
P. Rajesh
Publication year - 2020
Publication title -
transactions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.175
H-Index - 15
eISSN - 2326-3733
pISSN - 1023-697X
DOI - 10.33430/v27n1thie-2018-0024
Subject(s) - upgrade , unified power flow controller , electric power system , benchmark (surveying) , controller (irrigation) , control theory (sociology) , matlab , voltage , computer science , stability (learning theory) , power (physics) , engineering , control engineering , reliability engineering , power flow , electrical engineering , control (management) , physics , geodesy , quantum mechanics , artificial intelligence , machine learning , agronomy , biology , geography , operating system
This paper proposes a hybrid methodology to improve the dynamic strength of frameworks by optimally locating and sizing the unified power flow controller (UPFC). The proposed method combines both the antlion optimiser (ALO) and invasive weed optimisation (IWO) techniques. The advantages of the proposed methodology are enhanced searching ability, better identification of optimal solutions and greater reliability. Initially, to locate UPFCs, using the ALO technique, the most extreme power loss bus is recognised as the optimal location. The capacity required to resolve thesituation is determined by the IWO technique based on the minimum power loss, voltage deviation and establishment cost of the UPFCs. The proposed system is actualised and aims at the matrix laboratory (MATLAB) environment, while thepower flow security and voltage stability are evaluated on the basis of the Institute of Electrical and Electronics Engineers (IEEE) standard benchmark system. At this point, voltage stability, power loss, overloading and UPFC costs are analysed through changing the system load and generation. The proposed working method is then assessed and compared with traditional techniques.