The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

István Táczi, Bálint Sinkovics, István Vokony and Bálint Hartmann
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István Táczi: MTA-BME Lendület FASTER Research Group, Department of Electric Power Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary
Bálint Sinkovics: MTA-BME Lendület FASTER Research Group, Department of Electric Power Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary
István Vokony: MTA-BME Lendület FASTER Research Group, Department of Electric Power Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary
Bálint Hartmann: MTA-BME Lendület FASTER Research Group, Department of Electric Power Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary

Energies, 2021, vol. 14, issue 17, 1-17

Abstract: Global trends such as the growing share of renewable energy sources in the generation mix, electrification, e-mobility, and the increasing number of prosumers reshape the electricity value chain, and distribution systems are necessarily affected. These systems were planned, developed, and operated as a passive structure for decades with low level of observability. Due to the increasing number of system states, real time operation planning and flexibility services are the key in transition to an active grid management. In this pathway, distribution system state estimation (DSSE) has a great potential, but the real demonstration of this technique is in an early stage, especially on low-voltage level. This paper focuses on the gap between theory and practice and summarizes the limits of low-voltage DSSE implementation. The literature and the main findings follow the general structure of a state estimation process (meter placement, bad data detection, observability, etc.) giving a more essential and traceable overview structure. Moreover, the paper provides a comprehensive mapping of the possible use-cases state estimation and evaluates 27 different experimental sites to conclude on the practical applicability aspects.

Keywords: low voltage state estimation; distribution system state estimation; active distribution systems; low voltage grid control; observability; meter placement; pseudo data generation; grid models; pilot projects (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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