Toward Centralized/Decentralized Controlled Power Flow Applying Whale Versus Genetic Optimization Algorithms

Abstract

Many techniques are created in order to solve the optimal power flow issues as it is the most effective tool to get minimum cost or minimum losses under certain constraints. In this work, a smart idea is done in order to get the most optimum cost. This is done based on centralized and decentralized techniques. In general power system, decentralized technique is commonly used. However centralized technique is appeared, as this technique has a better security assessment for the system than the other. Decentralized technique based on separate the whole grid to small areas and the generating units and/or voltages on the boundaries between this area and the connected one only considered. The system is solved by two techniques; genetic algorithm (GA) and an Artificial intelligence technique called whale optimization algorithm (WOA); they are presented and utilized as optimizers in order to reach our goal. These techniques are done on IEEE 48-bus system which is consisting of two regions. These techniques are developed and simulated by using Matlab code in order to solve the OPF issue. The effect of the small voltage variations is also analyzed in order to get better optimum cost. Results demonstrate the benefits of using centralized/decentralized technique and the effect of variations of voltage.