Cooling Water Optimal Scheduling for Cooling Chain System in Nuclear Power Plant

The cooling chain system in nuclear power plant is designed to efficiently export residual heat and discharge sensible heat. However, its current operation primarily focuses on meeting the peak cooling demand, without comprehensively examining the effects of real-time changes in cooling demands, seawater temperature, and ambient temperature on the system's performance. In this paper, we analyze the operation optimization of cooling chain system in different scenarios, and consider coupling characteristics between subsystems in cooling chain system. We propose a nonlinear programming (NLP) model for the scheduling problem, and employ the differential evolution algorithm to solve it. Numerical simulations reveal that the proposed method effectively reduces the energy consumption and ensure the system safety.