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AN INVESTIGATION OF THE IMPACT OF SIZE AND LOCATION OF DG ON SYSTEM RELIABILITY BY EMPLOYING SEQUENTIAL MONTE CARLO SIMULATION

Akbar Dadkhah, Navid Bayati and Abolfazl Khodadadi
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Hafez Ave, No. 424, Iran.

Abstract—In recent years, the application of Distributed Generators (DG) is increasingly growing in the power systems. Moreover, it is predicted that it will play a significant role in future distribution systems. Nevertheless, incorporating DG into the distribution system alters the structure of the distribution system. This change could have either positive or negative impact on the system reliability which could be determined by DG’s size and location. This paper proposes sequential Monte Carlo simulation to evaluate the reliability indices. Moreover, the Genetic Algorithm (GA) is utilized to determine the optimal location and size of DG based on reliability indices. The objective function of the aforementioned optimization algorithm is the loss minimization and confining within the voltage constraints. This paper presents electric system reliability analysis. Additionally, the optimal size and location of DG is determined with considering the loss and voltage constraints. Moreover, by employing Monte Carlo simulation, the distribution of reliability indices is calculated in addition to the average and expected values.

Index Terms—Distributed Generation (DG), System reliability, Sequential monte carlo simulation, Genetic algorithm (GA)

Cite: Akbar Dadkhah, Navid Bayati and Abolfazl Khodadadi, "AN INVESTIGATION OF THE IMPACT OF SIZE AND LOCATION OF DG ON SYSTEM RELIABILITY BY EMPLOYING SEQUENTIAL MONTE CARLO SIMULATION," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 5, No. 1, pp. 1-11, January 2016.