Robust Scheduling of Production and Energy for Factories with Captive Power Plants Under Uncertainty

To address the intermittency problem of renewable energy and improve the utilization rate of renewable energy in industry, a novel robust scheduling model is proposed in this paper. Considering the ability of captive power plants to regulate renewable energy and the adjustment of production activities based on the costs of production and energy, this paper establishes a joint scheduling model of production and energy. First, a factory with a captive power plant (CPP) and multiple production lines is modeled with the optimization objectives to minimize the production cost and energy costs. The CPP consists of gas turbine generation, renewable energy, and power purchased from external grids. Then, the uncertainties of market demands and the photovoltaic energy are described by polyhedral sets and incorporated into the problem. After that, the model is divided into two stages, where the first stage determines the operating status of each production line, and the second stage schedules the energies in CPP. At last, the two-stage robust optimization model is optimized with a Column and constraints generation algorithm (C&CG), and the solutions robust to multiple uncertainties are obtained.