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- W4376890988 abstract "It is possible to reduce distribution losses by strategically placing and sizing DG and BESS sources. Assuring low loss requires strategically placing the aforementioned devices; otherwise, the system may experience either under- or overvoltage. It is preferable to choose bus stations with less risk for loss. The proposed approach tries to pinpoint the optimal BESS size and placement to cut down on investment and operating expenses while still achieving the desired level of energy reduction. The development of optimisation algorithms for finding and scaling BESS units is the fundamental focus of this study. Two such strategies are being explored here: the Genetic Algorithm (GA) and the Ant Colony Optimization Algorithm (ACOA). The goal function, like the original issue, seeks to minimise system-wide power losses while adhering to specified levels of equality and inequality. This article explores the appropriate capacity and placement of the DGs in a 33-bus radial distribution grid to reduce power dissipations. Matlab code is used to perform a simulation, and the results are put to use gauging the method's sturdiness." @default.
- W4376890988 created "2023-05-18" @default.
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- W4376890988 date "2023-05-05" @default.
- W4376890988 modified "2023-10-06" @default.
- W4376890988 title "Power Loss Minimization in a Radial Distribution Network by Optimal Sizing and Placement of Energy Storage Units" @default.
- W4376890988 doi "https://doi.org/10.17762/ijritcc.v11i4s.6538" @default.
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