Research Article 3
Asian Journal of Engineering, Sciences and Technology - Volume 10, Issue 2 2020
By Noor Ropidah Bujal, Munir Azam Muhammad, Marizan Sulaiman, Aida Fazliana Abd Kadir, Muhammad Sufyan
Keywords: Meta-heuristic optimization, population number, iteration number, distributed generation, optimal placement and sizing

In recent years, optimal allocation and sizing of Distributed generation algorithms have been widely applied to obtain an optimal solution to maximize the DG benefits. However, the best principle in optimizing this work is still unsolved. Therefore, this paper presents the impact of different population numbers and the number of iterations in DG optimal allocation and sizing. The simulation was performed using the two meta-heuristic algorithms, namely Differential Evolutionary Algorithm (DEA) and particle swarm optimization (PSO). Both algorithms have been deployed to minimize the power loss using different population numbers and maximum iteration numbers on the IEEE 33-bus radial distribution system network. The result was compared and found that different numbers of populations and iterations significantly impact computational time.