Dynamic equivalencing of wind farm for power system stability studies

Abstract

Efficient Video coding techniques to reduce the data size of video newlinefiles has become a necessity in the era of innumerable multimedia newlineapplications The video files are compressed at the transmitted side by newlineapplication of video coding algorithms and decompressed at the receiver side newlineto generate the original video content. High Efficiency Video Coding HEVC newlinealso known as H point 265 is the most successful video compression standard newlinewhich is extended from Hpoint264 MPEGhypen4 Advanced Video Coding AVC newlineHEVC employs a quad-tree structure in Motion Estimation ME and newlineimproved the video quality with high bit rates. In video coding Motion newlineEstimation ME is an essential module which plays a major role in power newlineconsumption of video codec ME is determined from the Motion Vector MV Motion Vector newlineis the key element in the motion estimation process It is used to represent a newlinemacro block in a picture based on the position of this macro block or a newlinesimilar one in another picture, called the reference picture. Motion Vector is newlinedetermined by the least SAD u,v Sum of Absolute Difference for all newlinepossible displacements u,v within a search area Every Motion Vector newlineshould be coded and transmitted The power optimizations of ME design is newlinequite typical for video coding applications Full Search Motion Estimation newlineFSME process can essentially advance the video encoder Compression newlineRatio CR while preserving high quality videos however it is quite newlineexpensive and it comprises more than 45 percentage of the complete ME technique newlineThe Consecutive Rate Constrained Elimination CRCE method carefully newlineremoves contender Motion Vectors while saving the best contender Motion newlineVector chosen by the Full Search Block Motion Estimation FSBME newlinetechnique But these techniques failed to consume less power. newline newline newline