Power System State Estimation, External Network Models and Interior Point Optimization Methods

电力系统状态估计、外部网络模型和内点优化方法

• 批准号: 9209294
• 负责人: Kevin Clements
• 金额: $ 26.62万
• 依托单位: Worcester Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-01 至 1996-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9209294&HistoricalAwards=false
• 关键词: Power; System; State; Estimation; External

This research seeks to apply interior point optimization methods to network modeling and state estimation problems involving unmeasured external network states. In addition, it will improve the efficiency of interior point methods for power systems problems. The basic approach will minimize the injected power mismatch at buses on the boundary of the local network. Alternate strategies for choosing the barrier parameter of the interior point algorithm will be investigated to improve efficiency. The outcome of this work will be a set of robust, rational approaches to large scale network modeling as well as an expanded set of powerful state estimation tools ready for practical implementation.

本研究旨在应用内点 网络建模的优化方法， 不可测状态估计问题 外部网络状态。 此外，它还将改善 幂内点法的有效性 系统问题。 基本方法将 最小化总线上的注入功率失配 本地网络的边界。 替代 选择屏障参数的策略 将研究内点算法， 提高效率。 这项工作的成果将 是一套强大的，理性的方法， 规模网络建模以及扩展集 强大的状态估计工具， 切实执行。