Software for Power System Unit Commitment and Economic Dispatch Calculations

This software is designed for solving power system unit commitment and economic dispatch problems. The core functionality includes generator scheduling, unit load optimization, and energy resource allocation (such as coal and natural gas). The implementation utilizes mixed-integer linear programming (MILP) algorithms to optimize commitment decisions while satisfying system constraints including power balance, ramp rates, and minimum up/down times. Due to increasing renewable energy integration demands, we have enhanced the software with wind power system calculation capabilities. The enhanced version now incorporates wind power forecasting data and stochastic optimization techniques to handle wind power uncertainty. Users can configure wind turbine parameters and integration constraints through an extended input interface. The wind integration module employs scenario-based optimization or chance-constrained programming approaches to ensure reliable system operation with renewable energy sources. This enables users to incorporate wind power generation for more energy-efficient and environmentally friendly power system operations. Prior to releasing the new functionality, we conducted rigorous testing including unit testing for optimization algorithms and integration testing with various wind power penetration scenarios. Users can confidently utilize this software to solve diverse power system problems, with robust constraint handling and solution validation mechanisms ensuring computational reliability.