“…Low‐computational efficiency and the precision of the results are two concerns of researchers, considering the approach especially for solving large power systems. In the literature, along with discretization techniques, the use of sensitivity analysis [14], Taylor series expansion around the operating point [15], Mixed‐Integer Non‐linear Programming (MINLP) [16] and Banders Decomposition (BD) [17] have been considered to solve the main problem. Beside to classical optimization methods, the use of intelligent algorithms such as Genetic Algorithm (GA) [18], Particle Swarm Optimization (PSO) [19], Differential Evolution (DE) [20], Chemical Reaction Algorithm (CRA) [21], Ant Bee Colony (ABC) [22], Group Search Optimization (GSO) [23], Imperialist Competitive Algorithm (ICA) [24], Krill Herd algorithm (KHA) [25], Teaching‐Learning Algorithm (TLA) [26], Whale Optimization Algorithm (WOA) [27], BioGeography‐based Algorithm (BGA) [28] and Collective Decision Optimization (CDO) [29] have also been considered in solving the TSCOPF problem.…”