Microgrid Optimization Dispatch Model

The Microgrid Optimization Dispatch Model is designed to address short-term scheduling challenges in microgrid systems. This model aims to maximize economic benefits while ensuring operational security and reliability. To achieve these objectives, the model incorporates energy generation and consumption patterns of various components within the microgrid ecosystem, including solar panels, wind turbines, lithium-ion batteries, and power exchange interactions with the main grid. Through optimization algorithms typically implemented using linear programming or mixed-integer linear programming techniques, the model generates short-term dispatch schedules that enable microgrid operators to efficiently manage system operations and maintenance. Key computational functions include power balancing constraints, cost minimization objectives, and equipment operational limits, often implemented through mathematical optimization frameworks like MATLAB's Optimization Toolbox or Python's PuLP library.