Optimal Location and Size for Various Renewable Distributed Generators in Distribution Networks.

This paper proposes an efficient methodology to optimally determine the best location and optimum size for Distributed Generators (DG), in a distribution network, while minimizing energy losses and improving voltage profile. The proposed methodology has been designed to consider variable demand and variable DG production scenarios, offering a set of optimum values for DG active power output and power factor. The optimization here presented uses the Genetic Algorithm (GA), and the OpenDSS power flow solver feature. The method has been tested on the IEEE 37 node test system comparing voltage profile and energy losses in three scenarios. Additional tests on the IEEE 123 node, 34 node and 13 node has been performed to compare the method proposed with results found in the literature.