Modern Techniques for the Optimal Power Flow Problem: State of the Art

Due to its significance in the operation of power systems, optimal flow (OPF) problem has attracted increasing interest with introduction smart grids. Optimal developed as a crucial instrument for resource planning effectiveness well enhancing performance electrical networks. Transmission line losses, total generation costs, FACTS (flexible alternating current transmission system) voltage deviations, transfer capability, stability, emission units, system security, etc., are just few examples objective functions related electric that can be optimized. nonlinear nature problems, classical approaches may become locked local optimums, hence, metaheuristic optimization techniques frequently used solve these issues. The most recent strategies problems discussed this paper state art (according authors, pertinent studies). presented grouped according their sources inspiration, including human-inspired algorithms (harmony search, teaching learning-based optimization, tabu etc.), evolutionary-inspired (differential evolution, genetic algorithms, and physics-inspired methods (particle swarm cuckoo search algorithm, firefly ant colony etc.).