AI based reconfiguration technique for improving performance and operation of distribution power systems with distributed generators

Abstract

This paper targets the enhancement of distribution power system's performance and operation through reducing system's real losses and improving overall voltage profile of the network taking into consideration topological and load constraints. For this target, two main techniques are employed in this paper; network reconfiguration and distributed generators installation. The paper proposes genetic algorithm (GA) along with an analytically developed load flow code to generate optimal network topology and find optimal sizing, locations and number of distributed generators to be installed considering different DG types. To demonstrate the effectiveness of the research, the IEEE 33 bus system is considered in this paper. This is a three phase radial balanced distribution system. Index Terms--Distribution system, network reconfiguration, distributed generators (DG), genetic algorithm optimization (GA), power loss reduction, voltage profile improvement.