标题：Benders Decomposition Algorithm for Reference Network
作者：Zhang, Jie; Cao, Xiangyang; Tian, Xin; Wang, Zhen; Wang, Mingqiang; Han, Xueshan; Li, Shan
作者机构：[Zhang, Jie; Cao, Xiangyang; Tian, Xin] Elect Power Co Jinan, Inst State Grid Shandong, Econ & Technol Res, Jinan, Shandong, Peoples R China.; [Wang 更多
会议名称：IEEE Region 10 Conference
会议日期：NOV 01-04, 2015
来源：TENCON 2015 - 2015 IEEE REGION 10 CONFERENCE
关键词：Benders Decomposition; Contingency Filtering Optimal Algorithm;; Reference Network
摘要：A reference network is topologically identical to the existing network in which the generators and loads are not changed while the transmission line capacity will be optimized. By applying a reference network, the optimal transmission capacities of each line could be identified, as it takes annual operational and transmission costs into consideration. A reference network provides a standard to evaluate the real network objectively. The congestion costs can be quantified and the optimal investment proposal can also be obtained based on load forecasting. Furthermore, the weakness of the system can be detected by comparing those in the reference and the actual network. However, for a large-scale power system, it is extremely complicated to build the reference network, as the optimal capacities for each line must be determined considering various contingency events. In this paper a simplified Benders decomposition algorithm is presented and applied to solve this model. Simulation results show that this technique can reduce computation time and improve convergence performance.