Distribution utilities are under pressure to attain high efficiency and minimize system loss and because to the current trend in distribution regulation, distribution transformer relocation, network splitting, incorporating distributed generation and altering secondary line and service drop size, are some of the different ways to reduce secondary system loss (DG). The genetic algorithm is used in this study to properly position and size rooftop solar photovoltaic (PV) generation systems, minimizing secondary system loss (GA). The technique relies on a single, ideal installation to prevent voltage profile issues. This study uses thorough modeling to take into consideration various loads, client attributes, and solar PV generation systems. Power flow based forward and backward sweep methodology was employed because of the unique characteristics of low voltage secondary distribution network. To demonstrate the robustness of the suggested strategy, secondary line features were used.
Optimization using Genetic Algorithm in a Low Voltage Distribution Network
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