Novel State Estimation for Smart Distribution and Transmission Network Operation


Chair: Malcolm Irving

Brunel University, UK

Malcolm Irving is Professor of Power Systems in the School of Engineering and Design at Brunel University, Uxbridge, UK. He is also Co-Director of the Brunel Institute of Power Systems, a major research group in the University specializing in algorithms and software for generation, transmission and distribution systems.

Dr. Irving is a longstanding member of IEEE. Prof. Irving is the author or co-author of more than 150 research publications in the fields of power network analysis and optimal power system operation. His special research interests comprise the analysis and control of power systems.


Panel Abstract

A crucial issue for smart grids, especially at distribution level, is the need to monitor the real-time behavior of the power network. This function can be very effectively performed by state estimation algorithms. Although state estimation is already widely adopted at transmission level, the implementation in distribution grids needs to face new issues such as low measurement redundancy, increasing availability of high volumes of smart-meter data and very large scale network models (in terms of the number of nodes and branches). Therefore, this panel will include contributions from industry and from research organizations, which explore some of these issues and their prospective solutions, including the use of parallel processing algorithms on high performance computing platforms.




Leticia De-Alvaro (EDF, France), Sebastien Grenard (EDF, France)


Nazia Nusrat (Brunel University, UK), Malcolm Irving (Brunel University, UK), Gareth Taylor (Brunel University, UK)


David Wallom (University of Oxford, UK)


Ivan Lorencin (Korona, Slovenia)


Nuno Silva (EFACEC, Portugal)


Fabrizio Pilo (University of Cagliari, Italy), Giuditta Pisano (University of Cagliari, Italy)