Author : Subramanian Srikrishna
Publisher : BrownWalker Press
ISBN 13 : 1627347496
Total Pages : 256 pages
Book Rating : 4.6/5 (273 download)
Book Synopsis Computer Aided State Estimation of Electric Power Network by : Subramanian Srikrishna
Download or read book Computer Aided State Estimation of Electric Power Network written by Subramanian Srikrishna and published by BrownWalker Press. This book was released on 2020-08-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Aided State Estimation of Electric Power Networks is a fundamental introduction to the topic of state estimation at an advanced textbook level for teaching a course at either the graduate or undergraduate level, as well as for Post Graduate students and Research Scholars who want to review of the latest techniques and best mathematical approaches for estimating the state of a general system. Theory as well as practice of Distribution System State Estimation (DSSE) is covered with imperative rigidity. The authors present the theory of state estimation clearly providing the right amount of essential information and linked reports in order to enable the researchers and graduate students to apply state estimation techniques across a variety of fields in power systems engineering. A prerequisite knowledge of basic power system operation, control, data acquisition and measurement, in addition to basic statistics is helpful in understanding the book. Key Features include: • Advanced Topics based on Cloud Computing and Standards used for Preparation of Smart Grid • Provides Entire Coding Information for Estimating the State Estimation Topology Performance • Enables both the Researchers and Graduate Students for Pursuing their Research Projects • Covers the Important Topics on Data Attacks and Solution Strategy • Provides an Introduction to Distribution System State Estimation This book includes new contents like Distribution System State Estimation, Data Attacks, Defense strategies, with an introduction to large scale systems based on cloud computing, and an MATLAB training package for graduate students