Ali Abur obtained his B.S. degree from Orta Dogu Teknik Universitesi, Turkey in 1979 and both his M.S. and Ph.D. degrees from the Ohio State University in 1981 and 1985 respectively. He was a faculty member at Texas A&M University until November 2005 when he joined the faculty of Northeastern University as a Professor and Chair of the Electrical and Computer Engineering Department. His research and educational activities have been in the area of power systems. He is a Fellow of the IEEE for his work on power system state estimation. He co-authored a book and published widely in IEEE journals and conferences. He serves on the Editorial Board of IEEE Transactions on Power Systems and Power Engineering Letters.
Areas of Expertise (9)
Ohio State University: Ph.D. 1985
Ohio State University: M.S. 1981
Orta Dogu Teknik Universitesi: B.S. 1979
Chenxi Xu, Ali Abur
This paper presents a new computational framework for implementing a robust linear static state estimator that uses only synchronized phasor measurements. Robustness is achieved by an estimator minimizing the L 1 norm of the measurement residuals. The proposed computational approach assumes the availability of an adequate number of processors which can run simultaneously.
Pengxiang Ren, Ali Abur
This paper describes implementation of a multi-area state estimation approach where a converged solution can be obtained for a large part of the network even if the conventional state estimator does not converge. This is accomplished by locating and isolating the area
which contains the gross error that is responsible for divergence. The paper investigates and addresses two main issues, namely area partitioning and network observability.
Pengxiang Ren, Hanoch Lev-Ari, Ali Abur
The purpose of the study that is reported in this paper is to develop a method to estimate the parameters of untransposed overhead transmission lines using synchronized measurements. Considering the noise in the measured bus voltages and line currents, a three-phase static state estimation is employed first to estimate the states. Then, the parameters are tracked dynamically by a Kalman filter. State estimation and parameter tracking process are iteratively carried out to reduce the uncertainties that exist in the estimation function...
Bei Xu, Ali Abur
This paper is concerned about the analysis of network observability and phasor measurement unit (PMU) placement when using a mixed measurement set. The measurements will include conventional power flows and injections as well as phasor measurements for voltages and line currents provided by phasor measurement units. The observability analysis is followed by an optimal meter placement strategy for the PMUs.
Ali Abur, Antonio Gomez-Exposito
Power system state estimation is an area that matured in the past three decades. Today, state estimators can be found in almost every power system control center. While there have been numerous papers written on many different aspects of state estimation, ranging from its mathematical formulation to the implementation and start-up issues at the control centers, relatively few books have been published on this subject. This book is the product of a long-term collaboration between the authors, starting from the summer of 1992 when they worked at the University of Seville on a joint project that was sponsored by the Ministry of Science and Education of the Spanish Government. Since then, they have spent two summers working together on different projects related to state estimation and continued their collaboration. They each taught regular and short courses on this topic and developed …