中文说明：这一项目提出了解决大型机组组合问题，具体重点放在低需求的一种新的增强的优先列表 （英超联赛） 的基础方法。基于优先列表的火力发电厂，建立了英超算法。植物被激活根据这份名单，而日程表的修改，以尊重技术限制作为上下倍，最低和最小操作要点。对发达国家的 EPL 算法进行测试基准系统，已广泛应用在文学上。与文献报道的值和一个混合整数线性规划 （MILP） 方法比较优化结果和算法的计算时间。发达国家的 EPL 方法原来是高精度和速度非常快。设置的模拟是进一步扩大，把具体重点放在一个设置与低挥发性是剩余的需求，例如，由于渗透率高，间歇性的可再生能源。这种设置是通常很难通过常规的算法，如 mil P 来解决。结果得到发达国家的 EPL 算法和线性规划的设置，并比较输出和计算。英超联赛算法的性能又是非常令人满意，从而表明其真实生活的模拟和政策分析的有用性。
English Description：
This project presents a new enhanced priority list (EPL) based method to solve large scale unit commitment problems, with specific focus on low demand. The EPL algorithm is set up based on a priority list of power plants. Plants are activated according to this list, while schedules are adapted to respect technical restrictions as minimum up and down times, and minimum operating points. The developed EPL algorithm is tested on a benchmark system which has been widely used in the literature. Optimization results and computation times of the algorithm are compared with values reported in the literature and with a mixed integer linear programming (MILP) approach. The developed EPL method turns out to be highly accurate and very fast. The simulation set up is further extended, to specifically focus on a setting with low volatile residual demand, e.g., as a result of high penetration of intermittent renewables. Such setting is typically difficult to solve by reg