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Traditional energy planning tools can't handle the complexity of modern microgrids Microgrids involve multiple energy sources, storage systems, and control strategies that are difficult to optimize manually. Our simulator handles all variables simultaneously. . Resilience, efficiency, sustainability, flexibility, security, and reliability are key drivers for microgrid developments. These factors motivate the need for integrated models and tools for microgrid planning, design, and operations at higher and higher levels of complexity. This complexity ranges. . The STEEP represents a holistic sustainability model that considers the key energy systems planning dimensions compared to the traditional techno-economic model used in several existing simulation tools and analyses. . Modern microgrids require rigorous real-time validation before deployment. We propose pymgrid, an open-source Python package to generate and simulate a large number. .
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