Observability of Low Voltage grids: actual DSOs Challenges and Research Questions

Ruben Sánchez Martin-Loeches, Florin Iov, Mohammed Seifu Kemal, Maria Stefan, Rasmus Løvenstein Olsen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)

Abstract

Low Voltage (LV) distribution power grids are experiencing a transformation from a passive to a more active role due to the increasing penetration of distributed generation, heat pumps and electrical vehicles. The first step towards a smarter operation of LV electrical systems is to provide grid observability in the control centers. In some countries like Denmark, the rollout of Advanced Metering Infrastructures (AMI) has reached 100%. However, the vast amount of data sent from the smart meters to the control centers stresses the communication network, and complicates the data processing tasks. It becomes unrealistic to provide near real time full observability of the LV grid by applying Distribution System State Estimation (DSSE) utilizing the classical data collection and storage/preprocessing techniques. This paper investigates up-todate the observability problem in LV grids by providing an updated state of the art on DSSE-AMI based, adaptive data collection techniques and database management system types. Moreover, the ongoing Danish RemoteGRID project is presented as a realistic case study.
Original languageEnglish
Title of host publicationProceedings of the 2017 52nd International Universities' Power Engineering Conference (UPEC)
Number of pages6
PublisherIEEE Press
Publication dateAug 2017
ISBN (Electronic)978-1-5386-2344-2
DOIs
Publication statusPublished - Aug 2017
Event2017 52nd International Universities Power Engineering Conference (UPEC) - Heraklion, Greece
Duration: 28 Aug 201731 Aug 2017

Conference

Conference2017 52nd International Universities Power Engineering Conference (UPEC)
CountryGreece
CityHeraklion
Period28/08/201731/08/2017

Fingerprint

Observability
Advanced metering infrastructures
Electric potential
State estimation
Smart meters
Distributed power generation
Telecommunication networks
Pumps

Keywords

  • Observability
  • State Estimation
  • Low Voltage
  • Database Management System
  • Adaptive data collection

Cite this

Martin-Loeches, R. S., Iov, F., Kemal, M. S., Stefan, M., & Olsen, R. L. (2017). Observability of Low Voltage grids: actual DSOs Challenges and Research Questions. In Proceedings of the 2017 52nd International Universities' Power Engineering Conference (UPEC) IEEE Press. https://doi.org/10.1109/UPEC.2017.8232008
Martin-Loeches, Ruben Sánchez ; Iov, Florin ; Kemal, Mohammed Seifu ; Stefan, Maria ; Olsen, Rasmus Løvenstein. / Observability of Low Voltage grids : actual DSOs Challenges and Research Questions. Proceedings of the 2017 52nd International Universities' Power Engineering Conference (UPEC). IEEE Press, 2017.
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Martin-Loeches, RS, Iov, F, Kemal, MS, Stefan, M & Olsen, RL 2017, Observability of Low Voltage grids: actual DSOs Challenges and Research Questions. in Proceedings of the 2017 52nd International Universities' Power Engineering Conference (UPEC). IEEE Press, 2017 52nd International Universities Power Engineering Conference (UPEC), Heraklion, Greece, 28/08/2017. https://doi.org/10.1109/UPEC.2017.8232008

Observability of Low Voltage grids : actual DSOs Challenges and Research Questions. / Martin-Loeches, Ruben Sánchez; Iov, Florin; Kemal, Mohammed Seifu; Stefan, Maria; Olsen, Rasmus Løvenstein.

Proceedings of the 2017 52nd International Universities' Power Engineering Conference (UPEC). IEEE Press, 2017.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Martin-Loeches RS, Iov F, Kemal MS, Stefan M, Olsen RL. Observability of Low Voltage grids: actual DSOs Challenges and Research Questions. In Proceedings of the 2017 52nd International Universities' Power Engineering Conference (UPEC). IEEE Press. 2017 https://doi.org/10.1109/UPEC.2017.8232008