中文摘要：

根据中期火电机组开机优化的特点,建立了兼顾传统模式及节能原则下电力运行的中期火电机组开机优化模型,并提出了一种改进的逐步优化算法（IPOA）对模型进行求解。算法以启发式搜索获得的初始可行解为基础,通过逐步优化算法（POA）对其不断改进,同时引入均化系统开机容量及合并单站开机容量峰值策略,使目标解从约束边界处沿目标等值线向可行域内部移动,为POA循环迭代提供搜索空间,有效地克服了POA易陷入局部最优的缺点。算法实现时,采用局部验证策略对开机容量峰谷持续时段约束进行简化判断,提高了计算效率。最后结合云南电网实际情况,对模型和算法进行了验证。

英文摘要：

According to the characteristics of medium-term thermal-unit commitments optimization, a mathematical model considering both the traditional mode and energy-saving principle is proposed, and an improved progressive optimality algorithm （IPOA） is adopted to solve the model. The algorithm takes the initial feasible solution from heuristics search as the basis, and the progressive optimality algorithm（POA） is adopted to improve it. At the same time, the strategies for system operating capacity equalization and single station operating peak combination are adopted to move the target solution from the boundary constraints along the target isopleths into the feasible solution’s interior to provide search space for iterative loop and overcome the disadvantage of POA that is apt to fall into local optimum. In the process of algorithm implementation, the local verifying tactics are adopted to simply judge the constraints of peak and valley duration of unit commitment capacity to reduce the calculation cost. Case studies with Yunnan power grid are given to verify the proposed model and algorithm.