article · IEEE Access
A simulation model explores the energy management of a grid-connected microgrid designed to maximise the use of local clean power. The setup incorporates photovoltaic systems, wind turbines, diesel generators, and the main electrical grid. Using HOMER simulation software, the system capacity is analysed by evaluating regional resource availability against specific electrical load profiles. The primary operational goals focus on lowering overall energy generation costs while decreasing harmful environmental emissions. According to the simulation outcomes, implementing a microgrid configuration with the highest generation capacity delivers the lowest energy expenses. Furthermore, this largest-capacity configuration achieves the most substantial decrease in carbon dioxide emissions and supports the highest proportion of renewable energy integration within the power mix.
Balancing renewable power with traditional energy supplies helps lower greenhouse gas emissions while keeping electricity affordable. By identifying optimal microgrid configurations through computer simulations, energy planners can effectively integrate solar and wind resources alongside diesel generators and utility grids, ensuring reliable power delivery with minimal environmental impact.
This work provides a simulation-based design approach applicable to utility planners, energy project developers, and facility operators seeking to size hybrid renewable microgrids. The research appears to be early-stage simulation work using standard HOMER software rather than a deployed physical trial. Practical adoption would require moving beyond software modelling to site-specific engineering design, procurement, and field-level control implementation.
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This paper examines the perspective of developing a model for a microgrid to optimize the utilization of local clean energy sources for a grid-connected. The suggested model for a microgrid includes clean energy sources employing wind turbines and photovoltaic (PV) systems and diesel generators, the grid. This model is examined with HOMER software. The capacity of the suggested micro-grid model is simulated according to the load profiles and the accessibility of the resources. The basic objectives of energy management are to reduce costs and reduce harmful emissions. The microgrid model with the greatest capacity produced the lowest energy costs, depending on the simulation results, the most significant reduction in CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emissions, and the greatest percentage of renewable energy.
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DOI: 10.1109/access.2024.3356556
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