TY - JOUR
T1 - LINEAR STATE ESTIMATION IN DISTRIBUTION SYSTEMS USING SMART METER DATA
AU - Lopez-Ramirez, Izar
AU - Zamora, Inmaculada
AU - Piyasinghe, Lakshan P.
AU - Rodriguez-Seco, J. Emilio
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2023.
PY - 2023
Y1 - 2023
N2 - The new generation of smart meters can provide valuable information. “New generation” smart meters provide voltage magnitude and apparent power measurements. In addition, voltage angle measurements referenced to the substation can be added. The aim of this paper is to formulate a state estimation algorithm for power distribution system, using apparent power, voltage angle and voltage magnitude measurements at low voltage residential customers. The research is focused on the American distribution system, which ranges from medium-voltage substations to low-voltage consumers. The objective is to determine the state of a distribution network, using only measurements provided by smart meters. Simulations performed on an EPRI test network section show that the voltages in MV can be estimated from smart meter measurements.
AB - The new generation of smart meters can provide valuable information. “New generation” smart meters provide voltage magnitude and apparent power measurements. In addition, voltage angle measurements referenced to the substation can be added. The aim of this paper is to formulate a state estimation algorithm for power distribution system, using apparent power, voltage angle and voltage magnitude measurements at low voltage residential customers. The research is focused on the American distribution system, which ranges from medium-voltage substations to low-voltage consumers. The objective is to determine the state of a distribution network, using only measurements provided by smart meters. Simulations performed on an EPRI test network section show that the voltages in MV can be estimated from smart meter measurements.
UR - http://www.scopus.com/inward/record.url?scp=85181538764&partnerID=8YFLogxK
U2 - 10.1049/icp.2023.0564
DO - 10.1049/icp.2023.0564
M3 - Conference article
AN - SCOPUS:85181538764
SN - 2732-4494
VL - 2023
SP - 3825
EP - 3828
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 6
T2 - 27th International Conference on Electricity Distribution, CIRED 2023
Y2 - 12 June 2023 through 15 June 2023
ER -