الملخص
The research aims to demonstrate the role of modeling as an essential part in the development of distribution networks by building an advanced model through which the load flow is analyzed in the branches of radial distribution networks through modeling and simulation of a IEEE 33-bus test network and then reconfiguring this network in order to obtain The lowest possible losses and improving the voltage levels at the network nodes, without affecting the power quality and reliability of the loads and the radial formation of the studied network in the distribution networks. Therefore, in the research, the Newton-Raphson iterative method was used to solve the problem of load flows of the network and convert it into a programming code, for the initial case, and then choose the new configuration of the distribution network with or without distributed generation.
The research used the Genetic Algorithm (GA) that was linked to the software code to identify the switches in the studied distribution network and to determine the optimal position for the distributed generation.
Linking the code to the algorithm proved correct when tested on a IEEE 33-bus test network, and then we compared the results we obtained (determining the maneuvering keys, determining the position of distributed generation) before and after reconfiguring, as well as in the case of adding distributed generation to the studied network. The results we obtained showed a remarkable superiority in the case of adding distributed generation compared to the reference studies