AN INTELLIGENT MICROGRID MANAGEMENT AND OPTIMIZATION SYSTEM: AN EXPERT ANALYTICAL SYSTEM FOR REAL TIME OPTIMIZATION AND INTEGRATION OF RENEWABLE ENERGY USING LIVE WEATHER DATA
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Abstract
As the world continues to embrace cleaner and smarter energy solutions, there's a growing need for tools that not only design microgrids but also make them smarter, more responsive, and easier to manage. This project introduces an Intelligent Microgrid Management and Optimization System — a desktop application built with Python — designed to help users plan, optimize, and monitor solar-powered microgrid systems more efficiently. What sets this tool apart is its ability to pull live weather data (like sunlight levels and temperature) using the OpenWeatherMap API. With this, it can predict how much energy your solar panels
might generate and how much power you’ll need, thanks to built-in machine learning models. The system then uses a genetic algorithm to figure out the best combination of solar panel size and battery capacity to meet your energy needs while keeping costs low.
The application runs through a simple and responsive user interface (built with PyQt6), offering features like real-time graphs, a weather dashboard, and system control panels. It also supports SCADA-style monitoring, so users can see power generation, battery status, and energy demand in real time. Overall, this tool is designed to be both smart and user-friendly, making it useful not
just for engineers and developers, but also for students, researchers, and organizations working on renewable energy solutions.
might generate and how much power you’ll need, thanks to built-in machine learning models. The system then uses a genetic algorithm to figure out the best combination of solar panel size and battery capacity to meet your energy needs while keeping costs low.
The application runs through a simple and responsive user interface (built with PyQt6), offering features like real-time graphs, a weather dashboard, and system control panels. It also supports SCADA-style monitoring, so users can see power generation, battery status, and energy demand in real time. Overall, this tool is designed to be both smart and user-friendly, making it useful not
just for engineers and developers, but also for students, researchers, and organizations working on renewable energy solutions.
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