Akademik Veri Yönetim Sistemi
International Journal of Computational and Experimental Science and Engineering, cilt.10, sa.3, ss.276-281, 2024 (Scopus)
This study focuses on the capacity optimization of Distributed Energy Resources (DERs) in Microgrids (MGs) within the Duquesne, USA region using HOMER software. Various scenarios with different grid limitations were analysed to determine the optimal configuration of wind turbines, Photovoltaic (PV) systems, diesel generators, and Energy Storage Systems (ESSs). The scenarios were evaluated based on Net Present Value (NPV), Levelized Cost of Energy (LCOE) and initial cost. In the unrestricted scenario, where MG loads can freely draw from both the macro grid and DERs, the NPV was calculated at $23.9 billion, with an LCOE of $0.122/kWh and an initial cost of $11.2 billion. The renewable energy penetration in this scenario was 62%, with a payback period of 7.4 years. The limited grid supply scenario resulted in an NPV of $40.4 billion, an LCOE of $0.199/kWh, and an initial cost of $21.7 billion. Renewable energy penetration increased to 77.9%, indicating that a significant portion of the MG’s energy demand is met by Renewable Energy Sources (RESs). In the standalone scenario, where the MG operates independently of the macro grid, the NPV was $58.9 billion, with an LCOE of $0.343/kWh and an initial cost of $29.6 billion. This scenario achieved the highest renewable energy penetration at 89.47%. The findings suggest that while higher renewable penetration offers significant environmental benefits, it comes at a higher economic cost. The optimal balance between economic viability and renewable energy integration can be achieved by implementing policies that encourage renewable energy while maintaining some level of conventional energy sources for cost-effectiveness.