给出了基于用户付费最少、发电成本最小的集中优化框架下的分层双目标方法 .不同于传统的最小化发电成本的 UC方法 ,分层双目标方法把用户的利益作为第一目标 ,克服了 CPM方法有多个最优解的不足 ,并降低了发电成本 ,从而为电力交易中心提供了一个确定上网机组顺序及上网电量的可行且公平的手段 .最后 ,通过一个简单的算例说明了分层双目标方法的可行性 . A layered dual-objective approach based on a centralized optimization framework with minimal user fees and minimal power generation costs is presented. Unlike traditional UC methods that minimize the cost of electricity generation, the layered, dual-target approach takes the interests of users as the primary goal, overcoming The CPM method has the disadvantages of multiple optimal solutions and reduces the cost of power generation, thus providing a power trading center with a feasible and fair means of determining the order of the online units and the amount of electricity on-grid. Finally, a simple example illustrates the The feasibility of a layered dual-target approach.