Solving the Unit Commitment Problem in Power Systems with MATLAB Implementation

We have developed a straightforward MATLAB solution to address the unit commitment problem in power systems. The program employs sophisticated optimization algorithms to efficiently resolve unit commitment challenges, thereby enhancing power system efficiency and stability. Our implementation considers multiple critical factors including unit types, capacity constraints, startup times, shutdown durations, while simultaneously accounting for system load demands and generation costs. Through this comprehensive approach, our program determines optimal unit combination strategies for effective power system management. The code structure utilizes MATLAB's optimization toolbox functions, implementing constraint handling through mixed-integer linear programming (MILP) techniques. Key functions include load forecasting modules, cost calculation algorithms, and constraint validation routines. Additionally, we provide detailed program documentation and usage guidelines to facilitate user adoption and implementation.