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

利用数学规划、重要性抽样和并行处理机对不确定条件下的大规模电力系统进行资源规划是本课题的中心主题。基本问题涉及确定从当前到给定时间范围的发电和输电能力的组合，以满足未来需求，满足可靠性要求，并最大限度地减少贴现的资本投资和运营成本。该项目是由国家科学基金和电力研究院联合资助的多学科项目。该项目包括继续开发原型算法和模型。

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.