Sánchez Martin-Loeches, Ruben

PROJECT TITLE: Real Time State Estimation and Asset Management in Distribution Grids    

PhD period: 2016.10.01 – 2019.09.30.
Section: Electric Power Systems
Research Programme: Intelligent Energy Systems and Active Networks
Supervisor: Florin Iov
Co-Supervisor: JayaKrishnan Pillai
Contact Information

Collaborators: Kamstrup A/S and Thy-Mors Energi Services A/S.
Funding: RemoteGRID.


Distribution grids in Denmark characterized by a large penetration of renewable energy resources are facing important challenges for the Distribution System Operators. Therefore, information about the state of the grid is required. Smart Meters which provide a large variety of information such as voltage and current magnitudes, total harmonic distortion etc, are placed in the point of connection. Currently this information is acceded a couple of times a day and mainly used by the DSOs for billing purposes. Therefore, an interesting research field is the study of the aforementioned information in order to be able to provide solutions for the actual faced issues. 

With this information the state of the grid can be estimated and actions can be taken according to the actual needs. State Estimation is an important function in supervisory control and planning of electric grids. The main propose of SE is to monitor the state of the grid and perform control by enabling energy management systems. Some of the actions SE is capable of, are power flow optimization, power quality purposes, to analyze contingencies and study the cases in order to be able to determine corrective actions and to predict possible future breakdowns.

Therefore, this project aims to develop algorithms for efficient asset management in the context of voltage control, power quality and stability in grids with high penetration of renewable energy resources.


Publications in journals and conference papers may be found at VBN.