Artificial Intelligence Hybrid Algorithm for System Reconfiguration to Reduce Power Losses in the Distribution System

Abstract

A number of algorithms that aim to reduce power  system losses and improve voltage profiles by  system reconfiguration have already been  proposed, but they are still subject to several  limitations. Hence, new algorithms can be  developed, or existing ones can be improved so  that this important issue can be addressed more appropriately and effectively. To understand smart grids, distribution network, which is a key  component of Distribution System  Reconfiguration (DSR), is presented in this study  as an accurate and effective solution. To  determine the intended optimum reconfiguration  and effectively rearrange the connectivity of the  distribution networks, it uses a variety of heuristic  optimization techniques. In this paper, a hybrid artificial intelligent method, made up of the  genetic algorithm (GA) and particle swarm  optimization (PSO), is developed. Using the  standard IEEE 33-bus distribution network on  MATLAB, the proposed method's validity and  efficacy have been evaluated. The findings  demonstrate the proposed approach's robustness  and demonstrate that it minimizes the average  power loss of independent runs while requiring  less processing time. The comparison of results  shows that HGAPSO has a better solution than  GA and PSO. 

https://doi.org/10.59200/ICONIC.2022.023