Parallel Computation for Large-Scale Nonlinear Optimization Problems with Application to Hydro Electric Generation

大规模非线性优化问题的并行计算及其在水力发电中的应用

• 批准号: 8717235
• 负责人: Tsu-Shuan Chang
• 金额: $ 9.21万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-07-01 至 1991-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8717235&HistoricalAwards=false
• 关键词: Parallel; Computation; Large; Scale; Nonlinear

This research is a Cooperative effort between Professor Tsu-Shaun Chang, University of California and Professor Peter B. Luh, University of Connecticut, ECS-8717167, and addresses the interrelationship that exists in large-scale power systems between planning and operational activities. This area, termed the generalized scheduling problem, is emerging as a highly important topic as system complexity increases. This investigation views the problem from the perspective of hierarchial decomposition and coordination. While the conceptual framework is quite general, actual development of optimization techniques for large-scale systems is problem dependent. This work focuses on the hydro short-term scheduling and pre-dispatch problem as background for applying the new techniques.

这项研究是Tsu-Shaun教授和 张，加州大学和教授彼得B。Luh，大学 ，ECS-8717167，并解决了 存在于规划和运行之间的大规模电力系统中 活动 这个领域，称为广义调度问题， 随着系统复杂性的增加，这成为一个非常重要的主题。 本调查从以下角度看待这一问题： 分级分解协调。 虽然概念上 框架比较通用，实际开发优化 大规模系统的技术依赖于问题。 这项工作 重点研究了水电短期调度和预调度问题， 应用新技术的背景。