利用分布式计算和数据库对西北太平洋US的多尺度随机模拟
Multiscale Stochastic Simulation of the US Pacific Northwest Using Distributed Computing and Databases with Integrated Inflow and Variable Renewable Energy
摘要：
美国太平洋西北系统的建模挑战在过去十年中有所增加。除了经典的建模困难，例如具有许多操作限制的复杂水电级联，我们还看到系统内外可变可再生能源的渗透率更高，导致内部问题以及与西海岸系统完全不同的电力交换。该系统的充分性和可靠性的分析动机的五步模拟器，包括四个规划阶段和一个操作步骤的设计和实施。这五个层次被建模为数学程序，从上到下通过固定的决策和预测的改进相联系，另一方面，它们也从下到上通过系统更新的状态相联系。通过在大规模并行环境中应用最先进的优化技术和高性能数据库，数百万个数学程序的解决方案成为可能。
英文摘要：
Modelling challenges of the United States Pacific Northwest system have grown in the last decade. Besides classical modelling difficulties such as a complex hydro cascade with many operational constraints, we have seen higher penetration of variable renewable energy inside and outside the system leading to internal issues and completely different power exchanges with the West Coast System. The analysis of adequacy and reliability of this system motivated the design and implementation of a five-step simulator including four planning phases and an operation step. The five levels were modeled as mathematical programs that are linked from top to bottom by fixed decisions and improvements in forecasts, on the other hand they are also linked from bottom to top by system updated states. The solution of the millions of resulting mathematical programs was made possible by applying state of the art optimization techniques and high performance data bases in a massively parallel environment.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
