A Novel Genetic Approach Applied for Power Loss Reduction and Improved Bus Voltage Profile in Distribution Network System

Abstract

This paper presents a network reconfiguration which is a vital analysis process for optimizing and controlling distribution systems. The method is based on genetic algorithm by changing the status of the switches to improve the operational performance. The main objective is to minimize the system power losses and to keep bus voltage profile into limits with radial distribution to provide the consumers with quality electrical energy while minimizing the cost. For this optimization problem, an objective function is developed from an electrical branch to sort the fittest solution. Selection, Crossover and mutation are the necessary three operators in which some improvements are made for the effectiveness of the genetic approach. The method can be successfully applied for loss minimum problem. Numerical example simulated with MATLAB/GUI is demonstrated by 33-bus distribution network and tested using a default mode network. As results, premature convergence is avoided, it shows the validity of the proposed methodology while respecting all the constraints.

An approach based on Clustering AH and VND for Supply Chain Management

“…This method combines a Granular Tabu Search and a Variable Neighborhood Search algorithm. A hybrid genetic algorithm with a local search in the mutation phase presented in [17], [18].…”