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.

Original languageEnglish
Article number012021
JournalIOP Conference Series: Materials Science and Engineering
Volume588
Issue number1
DOIs
Publication statusPublished - 20 Aug 2019
EventIndonesia Malaysia Research Consortium Seminar 2018, IMRCS 2018 - Surabaya, East Java, Indonesia
Duration: 21 Nov 201822 Nov 2018

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