Linear Programming-Based Optimal Energy Output Control for Gas Turbines Using Long-Term Load Forecasting

This study presents a linear programming-based optimization control scheme for gas turbine energy output utilizing long-term load forecasting. The solution achieves optimal energy generation through systematic analysis of load predictions and precise turbine output regulation. Our implementation incorporates multiple objective functions including energy cost minimization, environmental impact reduction, and turbine lifespan preservation to maximize both energy efficiency and economic benefits. The algorithm features state-based optimization modules that adapt to different turbine operating conditions, enabling granular energy output control. Key computational components include forecast data preprocessing using time-series analysis, constraint formulation for turbine operational limits, and iterative optimization via simplex method implementation. We anticipate this research will provide valuable references and guidance for future energy management systems and sustainable development initiatives.