电力系统机组组合问题的系统进化算法

提出了一种适用于解决大规模电力系统机组组合问题的新型优化算法－－系统进化算法，与常规的优化算法相比该方法具有更强的适应性和鲁棒性，能处理高维数、非凸、离散、非一的实际系统化问题。系统进化的思想具有方法论的意义，根据实际问题的不同特征可以设计不同的系统进化算法。这种方法的提出可以为复杂系统的优化规划、运行决策提供新的途径。

EVOLUTIONARY OPTIMIZATION METHOD OF POWER SYSTEM UNIT COMMITMENT PROBLEM

Unit commitment of a power system has been an active research subject for a long time because of potential cost savings. But this problem is very difficult to solve because it is non convex, discrete, non linear and NP hard combinatorial. This paper presents a new System Evolutionary Optimization Method (SEO), which is more flexible and robust than conventional methods and can manage more complicated constraints. Based on the methodology presented in the paper, different SEOs can be designed according to specific problems and provide new ways to system planning and operational optimization.