OPF for large scale power system using ant lion optimization: a case study of the Algerian electrical network

Ramzi Kouadri (University of Ferhat Abbas Setif 1)
Ismail Musirin (Universiti Teknologi MARA (UiTM))
Linda Slimani (University of Ferhat Abbas Setif 1)
Tarek Bouktir (University of Ferhat Abbas Setif 1)

IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 9, No 2: June 2020

This paper presents a study of the optimal power flow (OPF) for a large scale power system. A metaheuristic search method based on the Ant Lion Optimizer (ALO) algorithm is presented and has been confirmed in the real and larger scale Algerian 114-bus system for the OPF problem with and without static VAR compensator (SVC) devices. To get the highest impact of SVC devices in terms of improving the voltage profile, minimize the total generation cost and reduction of active power losses, the ALO algorithm was applied to determine the optimal allocation of SVC devices. The results obtained by the ALO method were compared with other methods in the literature such as DE, GA-ED-PS, QP, and MOALO, to see the efficiency of the proposed method. The proposed method has been tested on the Algerian 114-bus system with objective functions is the minimization of total generation cost (TGC) with two different vectors of variables control.