Moving-Horizon State Estimation for Power Networks and Synchronous Generators

Autor:	Katanic, Milos, Lygeros, John, Hug, Gabriela
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Power systems Dynamic state estimation Moving-horizon estimation Static state estimation Phasor measurement units FOS: Electrical engineering electronic engineering information engineering Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control
Zdroj:	2022 North American Power Symposium (NAPS)
ISSN:	6654-9922
Popis:	Power network and generators state estimation are usually tackled as separate problems. We propose a dynamic scheme for the simultaneous estimation of the network and the generator states. The estimation is formulated as an optimization problem on a moving-horizon of past observations. The framework is a generalization of static state estimation; it can handle incomplete model knowledge and does not require static network observability by PMUs. The numerical results show an improved estimation accuracy compared to static state estimation. Moreover, accurate estimation of the internal states of generators without PMUs on their terminals can be achieved. Finally, we highlight the capability of the proposed estimator to detect and identify bad data. 2022 North American Power Symposium (NAPS) ISBN:978-1-6654-9921-7 ISBN:978-1-6654-9922-4
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81dbdbd0f51ce1f72422791ede39d97a http://arxiv.org/abs/2207.12150 Zobrazit plný text záznamu