The optimal allocation of distributed generators considering fault current and levelized cost of energy using the particle swarm optimization method

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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.

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Kim, B., Rusetskii, N., Jo, H., & Kim, I. (2021). The optimal allocation of distributed generators considering fault current and levelized cost of energy using the particle swarm optimization method. Energies, 14(2). https://doi.org/10.3390/en14020418

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