The Optimal Allocation of Distributed Generators Considering Fault Current and Levelized Cost of Energy Using the Particle Swarm Optimization Method

Beopsoo Kim, Nikita Rusetskii, Haesung Jo and Insu Kim
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Beopsoo Kim: Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Korea
Nikita Rusetskii: School of Information Technology and Data Science, Irkutsk National Research Technical University, 664074 Irkutsk, Russia
Haesung Jo: Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Korea
Insu Kim: Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Korea

Energies, 2021, vol. 14, issue 2, 1-18

Abstract: The power requirements of grids have risen as artificial intelligence and electric vehicle technologies have been used. Thus, the installation of distributed generators (DGs) has become an essential factor to streamline power grids. The objective of this study is to optimize the capacity and location of DGs. For this purpose, an objective function was defined, which takes into account the fault current and the levelized cost of energy, and a modified particle swarm optimization method was applied. Then, we analyzed a case of a single line-to-ground fault with a test feeder (i.e., the IEEE 30 bus system) with no DGs connected, as well as a case where the DGs are optimally connected. The effect of the optimally allocated DGs on the system was analyzed. We discuss an optimal layout method that takes the economic efficiency of the DG installation into account.

Keywords: distributed generator (DG); particle swarm optimization (PSO); fault analysis; levelized cost of energy; single line-to-ground fault (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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