Voltage Stability optimization with Renewable Distributed Generation (RDG) using Index Based planning (IBP) and Genetic Algorithm (GA)

Abstract

Voltage stability is very important in a power system operation. This paper presents a detailed study on voltage stability and line losses of a radial distribution system incorporating Renewable Distributed Generation (RDG) using a two method approach of Index Based planning (IBP) and Genetic Algorithm (GA). RDGs have been largely adopted in most power systems due to their ability to meet increased electrical load faster and cheaply without expanding the transmission network, they have minimal environmental effects and they cannot be depleted. Formulation and solution of distribution voltage stability problem of a distribution network with RDG is very critical in the modern power system operation and control. Researchers have previously solved the voltage stability problem by obtaining optimal placement of Flexible AC Transmission Systems (FACTS), Static VAR Compensators (SVC) and static capacitors to provide reactive power to the system and improve the voltage profile. Other researchers have used Under Frequency Load Shedding (UFLS) and others have used optimal sizing and siting of DG units to improve the distribution network's voltage profile. This paper outlines a detailed research of the effect of interconnecting RDGs on the voltage stability and line loss of the IEEE 14 bus radial distribution system using Index Based planning and Genetic Algorithm. The results indicate the total voltage deviation and the total line loss for Photovoltaic DG, Wind DG and Static compensators (STATCOMS). In addition it gives a detailed formulation of the problem. The results obtained shows that appropriate sizing and location of RDGs improves the voltage profile and reduces the line losses of the radial distribution system.