Symbiotic Organism Search for Sizing and Optimal Location of Distributed Generation Using Novel Sensitivity Factor

Abstract

Electric power systems consist of many interconnected buses. The most widely used network topology is Radial Distribution Network (RDN), the bus located furthest from generation has a significant voltage drop and the number of buses without any support from Distributed Generation (DG) inflicting in increased power losses and increased generation cost. DG is advantageous to reduce power losses and increasing voltage on the power system, but the location and sizing of DG in the distribution network requires great consideration. In this paper the method used to determine the location is Loss Reduction Sensitivity Factor (LRSF) and Voltage Improvement Performance Index (VIPI) and for sizing DG uses artificial intelligence Symbiotic Organism Search (SOS). This DG locating and sizing problem is associated with real power loss minimization and voltage profile improvement objectives. The proposed method has been demonstrated on IEEE 33-bus radial distribution system. Based on this research the identification of using LRSF location is better than VIPI.