Decomposition and Parallel Processing Techniques for Large- Scale Electric Power System Planning Under Uncertainty

不确定性下大规模电力系统规划分解与并行处理技术

• 批准号: 8906260
• 负责人: George Dantzig
• 金额: $ 14.39万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-03-01 至 1993-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8906260&HistoricalAwards=false
• 关键词: Decomposition; Parallel; Processing; Techniques; Large

Resource planning for large scale electric power systems under uncertainty using mathematical programming, importance sampling, and parallel processors is the central theme of this project. The basic problem relates to the determination of a mix of generation and transmission capacities from the present to a given time horizon to meet future demand, satisfy reliability requirements, and minimize discounted capital investment and operating costs. The project is multi-disciplinary and jointly funded by the National Science Foundation and the Electric Power Research Institute. The project involves a continuation of the development of a prototype algorithm and model.

大型电力企业的资源规划 电力系统不确定性 数学规划，重要性抽样， 和并行处理器是中心主题 of this project项目. 基本问题涉及到 确定发电和 从现在到2000年的 在满足未来需求的时间范围内， 满足可靠性要求，并尽量减少 贴现资本投资和经营 成本 该项目是多学科的， 由美国国家科学基金会 基金会与电力研究 院 该项目涉及一个 继续开发原型 算法和模型