Distribution power loss minimization using Particle Swarm Optimization and genetic algorithms: Application on Algerian isolated grid

The objective of this work is the application of stochastic methods of optimization as Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) in order to locate the distributed generators (DG) placement and minimize the power loss in the electrical distribution network, taking into account the integration of distributed renewable generation sources. Thus, a comparative study with previous techniques proposed in literature is performed. The first step of the study is to apply the proposed methodology on standard IEEE test systems such as: IEEE 12-bus and IEEE 69-bus to validate the calculation program. In a second step, the proposed approach is tested on a real isolated distribution system from the Algerian network. Minimizing the active losses is subject to several constraints which are undertaken in this paper, depending on the penetration rate of the renewable source. Indeed, the aim of the study is not only minimizing active loss using PSO and GA, but also enhancing voltage stability by improving the voltage profile.