论文标题
不确定性下的大规模网络计划的强大优化和区域分解方法
A robust optimization and an area decomposition approach to large-scale network planning under uncertainty
论文作者
论文摘要
本文介绍了考虑可变可再生能源（VRE）和水力发电生成不确定性的大规模传输网络计划的区域分解和强大的优化策略。该策略通过研究从2027年到2036年的巴西电网扩展。该国的网络拥有超过10,000辆公共汽车和14,000条电路，覆盖了相当于美国的地区。基于总线边际成本的聚类方案用于将网格分解为七个区域。然后，通过一种启发式和弯曲者分解方法来解决每个区域计划，以制定3,000个调度场景的强大成本计划。
This paper describes an area decomposition and a robust optimization strategy for the planning of large-scale transmission networks considering uncertainty in variable renewable energy (VRE) and hydropower generation. The strategy is illustrated with a study of Brazil's power grid expansion from 2027 to 2036. The country's network has over 10 thousand buses and 14 thousand circuits and covers an area equivalent to the USA. A clustering scheme based on bus marginal costs is used to decompose the grid into seven regions. Each regional planning is then solved by a heuristic and Benders decomposition methods to produce a robust least-cost plan for 3,000 dispatch scenarios.
