Static State Estimation for Power Systems

Elattar, Ehab E.; Mohammed, Tahir A.; Kinawy, Abdel Mohsen M.

ISBN 10: 3659182974 / ISBN 13: 9783659182976

Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

About this Item

Print on Demand pp. 132 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Seller Inventory # 132797550

Bibliographic Details

• Title: Static State Estimation for Power Systems
• Publisher: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
• Publication Date: 2014
• Language: English
• ISBN 10: 3659182974
• ISBN 13: 9783659182976
• Binding: Soft cover
• Condition: New

About this title

Synopsis

The heart of the data processing activities of a modern electric utility energy control center is the power system state estimator. A state estimator provides the same information on-line that are provided by a load flow study off-line. This information is used for contingency evaluation, security assessment, control strategy and economic dispatch. An energy control center gathers information on the state of a power system that may include large errors which called bad data. In view of the above consideration, it is necessary to have a method to establish a reliable and complete data base for on-line monitoring and control. In this book, the fast supper decoupled state (FSDS) estimator is developed and applied to systems having low as well as high R/X ratio lines, well-behaved systems, ill-conditioned systems as well as bad data processing. The FSDS estimator is investigated using a single-rotation angle for all measurements. Comparisons are made with respect to the fast decoupled state estimator. The FSDS estimator is found to be efficient and effective especially for systems having high R/X ratio lines, ill-conditioned system and bad data.

About the Author

Dr. Ehab Elattar obtained his B.Sc. and M.Sc. degrees in Electrical Engineering from Elec. Eng. Dep., Menofia University, Egypt in 1999 and 2003, respectively, and the Ph.D. degree in 2010 from the Dep. of Elec. Eng., University of Liverpool, UK. His research interests include power system analysis, economic operation and optimization.