Distributed state estimation method of distribution networks based on LSTM

Autor:	Sicheng Jiang, Shuhang Yang
Rok vydání:	2023
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2418:012089
ISSN:	1742-6596 1742-6588
Popis:	In this paper, long-short-term memory (LSTM) is introduced into the distributed state estimation (DSE) method, and the state prediction value obtained by LSTM is used as the new measurement in each sub-area. The state prediction value obtained by LSTM is used as a sign to judge whether the measurement in each sub-area at the current time is abnormal, which avoids unnecessary bad data detection when the measurement is normal. Through the simulation of IEEE33 bus distribution network system, it is verified that the proposed method can effectively identify bad data and has high computational efficiency.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1413aaa862edf1f4a5b5890449644639 https://doi.org/10.1088/1742-6596/2418/1/012089 Zobrazit plný text záznamu