Optimal Sizing of Photovoltaic and Battery Energy Systems in Residential Environments to Reduce Dependence on Centralized Electricity Infrastructure
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Abstract
Distributed Energy Resources (DERs) offer an effective alternative to reduce reliance on centralized electrical infrastructure by providing a more decentralized and flexible energy supply. This work presents an optimization model using mixed-integer linear programming (MILP) to determine the optimal sizing of DERs integrating photovoltaic generation and battery storage, designed to operate both connected to the grid and autonomously. Using real data on energy resources, demand, and construction characteristics of an urban residential complex, the study shows that DERs can significantly reduce dependence on the main grid. Furthermore, it optimizes the use of renewable resources, promoting greater energy self-sufficiency. The methodology is adaptable to various urban settings, where implementing DERs enables increased energy independence, relieving the load on centralized infrastructure and ensuring a reliable supply despite fluctuations in grid availability.
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