- Authors:
-
- Pokhrel, Basanta Raj ;
- Nainar, Karthikeyan ;
-
Bak-Jensen, Birgitte
;
Close
0000-0001-8271-1356
Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University -
Pillai, Jayakrishnan Radhakrishna
Close0000-0002-9354-1580
Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University
- DOI:
- 10.1109/ICIT.2018.8352350
- Abstract:
- Smart distribution grids with renewable energy based generators and demand response resources (DRR) requires accurate state estimators for real time control. Distribution grid state estimators are normally based on accumulated smart meter measurements. However, increase of measurements in the physical grid can enforce significant stress not only on the communication infrastructure but also in the control algorithms. This paper aims to propose a methodology to analyze needed real time smart meter data from low voltage distribution grids and their applicability in distribution state estimation. Different scenarios are created to observe the algorithm performance and effects on the estimation quality. The CIGRE benchmark network for low voltage distribution grids is used for simulation and analysis. This work also investigates the necessity of proper load modelling to reduce the stress due to huge amount of measurement data by utilizing them smartly via state estimation.
- ISBN:
- 9781509059492
- Type:
- Conference paper
- Language:
- English
- Published in:
- Proceedings of the 19th Ieee International Conference on Industrial Technology (icit 2018), 2018, p. 1207-1212
- Keywords:
- Smart meter measurements; Active distribution grid; State estimation; Observability
- Main Research Area:
- Science/technology
- Publication Status:
- Published
- Review type:
- Peer Review
- Conference:
- 19th IEEE International Conference on Industrial Technology (ICIT 2018)
- Publisher:
- IEEE Press
- Submission year:
- 2018
- Scientific Level:
- Scientific
- ID:
- 2434425536
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