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

本研究旨在将内点优化方法应用于涉及不可测外部网络状态的网络建模和状态估计问题。此外，还将提高电力系统问题内点法求解的效率。基本方法将使局域网络边界总线上的注入功率失配最小化。研究了内点算法中屏障参数选择的备选策略，以提高效率。这项工作的结果将是一组健壮的、合理的大规模网络建模方法，以及一组扩展的强大的状态估计工具，为实际实现做好准备。

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.