A Time Decomposition and Coordination Strategy for Power System Multi-Interval Operation
A Time Decomposition and Coordination Strategy for Power System Multi-Interval Operation
复制标题
电力系统多区间运行的时间分解与协调策略
DOI：
--
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
A. Kargarian
中科院分区：
文献类型：
--
作者：
F. Safdarian;Okan Ciftci;A. Kargarian
本文提出了一种降低电力系统多区间运行问题计算复杂度的时间分解策略。我们主要研究经济调度问题。所考虑的调度范围被分解成多个较小的子视野。每个子层位的第一时间间隔被建模为两个连续子层位之间的耦合间隔。子层位之间的相互依赖性使用发电机组的斜坡率进行数学建模。提出了一种基于辅助问题原理的分布式协调策略，用于协调各子时段的经济调度解，以寻求整个运行时段的最优解。我们还提出了一种初始化技术，从足够好的点开始迭代协调算法。该技术显著提高了收敛速度。将该算法应用于IEEE 118节点系统的一周前经济调度问题，取得了较好的结果。
This paper presents a time decomposition strategy to reduce the computational complexity of power system multi- interval operation problems. We focus on the economic dispatch problem. The considered scheduling horizon is decomposed into multiple smaller sub-horizons. The first time interval of each sub- horizon is modeled as the coupling interval between two consecutive sub-horizons. The interdependencies between the sub- horizons are mathematically modeled using ramp rates of generating units. A distributed coordination strategy, which is based on auxiliary problem principle, is developed to coordinate the economic dispatch solutions of the sub-horizons to find an optimal solution for the whole operation horizon. We also propose an initializing technique to start the iterative coordination algorithm from a good-enough point. This technique enhances the convergence rate significantly. The proposed algorithm is deployed to solve a week-ahead economic dispatch problem on the IEEE 118-bus system, and promising results are obtained.