Multi-area parameter error identification for large power systems.

Power grid model parameters may contain errors due to various reasons. Detecting and correcting parameter errors typically requires significant computational effort due to the size and complexity of the parameter database. While the normalized Lagrange multiplier (NLM) method can effectively detect, identify and correct parameter errors, its computational burden could rapidly grow with increasing system size. This paper addresses this issue by proposing a multi-area parameter error identification method. Each area has its own outlier detection tool for detecting the incorrect parameters and measurements within the area. On the other hand, due to the reduced redundancy at area boundaries, parameter errors on branches incident to boundary buses may not be detected. Such errors are subsequently detected by a coordination level estimator completing the system-wide parameter detection procedure. Performance of the developed method is demonstrated using the IEEE 118-bus and 2000-bus Texas synthetic systems. • A multi-area parameter error identification method is presented. • Introduces significant speed-up in parameter error identification for large power grids. • Enables scalability of parameter error detection method for large power grids. [ABSTRACT FROM AUTHOR]