Most Valuable Player Algorithm Based State Estimation for Energy Systems

State estimation (SE) processes the real-time measurements and provides database to energy control centre for safety control of energy systems. Traditionally Weighted Least Square (WLS) and Weighted Least Absolute Value (WLAV) based algorithms have been suggested for SE but the development of very fast computers and parallel processing enable the system engineers to think of employing the computationally inefficient evolutionary algorithms, which are known to be robust and stable, in solving SE problems. This paper suggests a most valuable player algorithm based SE involving WLS and WLAV objectives one at a time, and presents results on four IEEE test systems for illustrating its superiority.

A New Automatic Seamless Image Stitching Algorithm Based on the Gray Value of Edges

The automatic seamless image stitching technology is a new problem in the field of computer vision and pattern recognition. This paper brings forward a new seamless image stitching algorithm based on the mutual correlation which combines the least absolute value method with the gray value information. The gray characteristic value on the image edge is obtained and the minimum of correlation function is regarded as the matching points to realize image stitching, the effect of which in computer simulation is good.