论文标题
概述优化模型在单位承诺问题不确定性下的应用
An Overview of Application of Optimization Models Under Uncertainty to the Unit Commitment Problem
论文作者
论文摘要
优化模型已在能源行业内广泛使用，用作有用的决策系统，用于调度和调度电力能源资源；这是在称为单位承诺（UC）的系统中应用的。 单位承诺为电动能源设备寻求最高价格的发电机承诺方案，以满足一定需求，同时又实现了传输模型和计算资源的运营约束。考虑到这些过程中的风险差异，并检查了单个或多阶段能量模型的比较总体绩效，除了与承诺决策相关的风险外，还取决于货币绩效的函数。 随机编程和强大的优化是绝大多数净负载不确定性下研究的UC方法最广泛的方法。这些技术将在本文中讨论。
Optimization models have been broadly used within side the energy industry as useful decision-making systems for scheduling and dispatching electric powered energy resources; this is applied in a system called unit commitment (UC). Unit Commitment seeks the maximum price adequate generator commitment scheme for an electric powered energy device to satisfy a certain demand, at the same time as fulfilling the operational constraints on transmission models and computational resources. Taking into account risk variability in those processes and checking out their comparative overall performance for a single or multi-stage energy model as a function of monetary performance in addition to the risk related to the commitment decisions. Stochastic programming and Robust optimization are by a vast majority the most widely studied methodologies for UC under net load uncertainty. These techniques will be discussed in this paper.
