RT Journal Article
T1 Assessment on power systems non-deterministic state estimation algorithms
A1 Lopez-Ramirez, Izar
A1 Rodriguez-Seco, J. Emilio
A1 Zamora, Inmaculada
AB Power systems are operated in a deterministic way. However, the increase in uncertainties (caused by measurement and communication errors or the absence of complete knowledge of the measured quantity) requires algorithms capable of assessing randomness in real-time monitoring and operation of energy management systems. Among them, state estimation is a fundamental element that provides complete and reliable information about the current network state. This paper offers a review of non-deterministic algorithms, used to assess the randomness caused by the uncertainties in power system state estimation. Depending on the uncertainty modeling method, different static and dynamic non-deterministic state estimation algorithms for transmission and distribution systems are reviewed. Also, four of the most relevant algorithms are implemented and results are compared for distribution networks. The relevance of such models, as well as their motivation, are addressed.
SN 0378-7796
YR 2023
FD 2023-01-01
LA eng
NO Lopez-Ramirez , I , Rodriguez-Seco , J E & Zamora , I 2023 , ' Assessment on power systems non-deterministic state estimation algorithms ' , Electric Power Systems Research , vol. 214 , 108880 . https://doi.org/10.1016/j.epsr.2022.108880
NO Publisher Copyright: © 2022 Elsevier B.V.
NO The authors would like to thank HUBBELL INC., USA, TECNALIA, Basque Research and Technology Alliance (BRTA), Spain and University of the Basque Country (UPV/EHU), Spain for their valuable contributions.
DS TECNALIA Publications
RD 2 sept 2024