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The transition of the electrification of construction machinery represents a pivotal shift to increasesustainability for industrial practices. However, it introduces new and significant challenges to theelectrical power grid and local distribution networks (LDN). This study will assess the impact anelectrified construction site can have on the grid with integration of renewable energy sources (RES),such as solar photovoltaics and wind power. A comparison will be made between the conventionalmethod of opportunistic charging and smart charging strategies with optimized energy utilization.Python-based models have been created for simulation and optimization, developed with real-worldlocal distribution network data from Eskilstuna Str¨angn¨as Energi och Milj¨o (ESEM) and local datafor solar intensity, sun hours and wind speeds etc. for RES generation. Multiple seasonal operationalscenarios were analyzed at different levels of RES generation capacity. The study analyzes the keyparameters for grid performance in these scenarios, including voltage stability, peak load variations,and the self-consumption and self-sufficiency ratios of the energy system. The results show thatsmart charging strategies could significantly mitigate stresses on the LDN by smart scheduling andaligning charging at high RES generation, which also coincides with low residential demand. Selfsufficiencyand self-consumption can be increased by 36 and 40 percentage points, respectively.Furthermore, RES size and storage integration improve the resilience of the energy system andincrease renewable utilization at higher levels of penetration, reducing dependence on the mainpower grid. The findings of the report offer practical insight into electrical loads on constructionsites for construction site operators, distribution system operators (DSO), and transmission systemoperators (TSO), to balance electrification efforts with increased grid stability and sustainability.