For deterministic hydropower scheduling problems, the modeling plays a more crucial role than algorithms or methods in handling real-world industrial challenges that shift engineers face. This paper presents a hydropower scheduling model that prioritizes multiple objectives and takes into account constraints on the plant-based operating zones, day-ahead transactional energy, water level targets, as well as the wind and solar powers integrated so as to analyze their impacts on the hydropower scheduling. The model is applied to the Lancang River, which, with 11 cascaded reservoirs involved, presents a large-scale hydropower system. Typically, it takes about 4 s for the CPLEX 12.6 Solver to find the optimum for a quarter-hourly hydropower scheduling during a day. The case studies show that integrating the wind and solar powers into the power systems will make hydro-plants fluctuate in generation and put in generating capacity more in dry seasons than in wet seasons, causing loss of hydropower generating efficiency and increase of turbine maintenance pressure in dry seasons.

对于确定性的水电调度问题，建模在处理工程师面临的现实世界工业挑战方面比算法或方法起着更重要的作用。本文提出了一个优先考虑多个目标的水电调度模型，并考虑了基于电厂的运行区、日前交易能源、水位目标以及整合的风能和太阳能的约束，以分析它们对水电调度。该模型应用于澜沧江，涉及11个梯级水库，呈现大型水电系统。通常，CPLEX 12.6 求解器需要大约 4 秒才能找到一天中每四分之一小时水电调度的最佳值。