Tony Xiang
Department / Institute
![](https://assets.w3.tue.nl/w/fileadmin/_processed_/a/4/csm_01786cab9a54ac65399f88c41f516133_565d83a162.jpg)
RESEARCH PROFILE
Dr.ir. Yu (Tony) Xiang is a part-time assistant professor at the Electrical Energy Systems group. He works as Principal Scientist at Alliander N.V., a Dutch distribution system operator (DSO). His main research interest is distribution grid digitization and modelling.
Tony is the chair of the steering committee of the open-source project Power Grid Model (https://github.com/PowerGridModel). He is facilitating in the EES group the research-to-production process, to implement common research outputs, such as models and algorithms, into mature and production-ready (preferably open-source) software packages.
Tony (co-)supervises the researches in the group regarding grid calculations, modelling, and optimization, including the application of (AI) machine learning models. He facilitates the collaboration between Alliander and TU/e on new research proposals.
ACADEMIC BACKGROUND
Tony Xiang was born in Nanchang, China, in 1987. He received the BSc degree in Electrical Engineering from Zhejiang University in 2008, the MSc degree in Electrical Engineering from Eindhoven University of Technology (TU/e) in 2011, and the PhD degree in Electrical Power Engineering from TU/e in 2015. His PhD research was about distribution grid state estimation, measurement placement, and fault localization. The research was a collaboration between TU/e and Alliander.
Recent Publications
-
Bayesian-inference-based voltage dip state estimation
IEEE Transactions on Instrumentation and Measurement (2017) -
Coordinated voltage control in LV grid with solar PVS
CIRED - Open Access Proceedings Journal (2017) -
Harmonic disturbance location by applying Bayesian inference
Electric Power Systems Research (2016) -
A Bayesian approach for fault location in medium voltage grids with underground cables
IEEE Power and Energy Technology Systems Journal (2015) -
Operation of future medium voltage distribution grids : application of statistical methods for state estimation and fault location
(2015)
Current Educational Activities
Ancillary Activities
No ancillary activities