Forecast Model of Transmission Line Sag Based on GA

Autor:	F Zhang, MZ Fan, XC Yu, X Dong, WY Wang
Rok vydání:	2022
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2158:012008
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2158/1/012008
Popis:	Transmission lines are an important part of the power system and the main artery for the transmission of electrical energy. The safe operation of overhead lines is critical to the safe and stable operation of the entire power grid. This paper takes the main body of the transmission conductor as the main research object. According to the line load calculation theory, risk assessment theory and fuzzy prediction theory, first establish a transmission line risk assessment model that takes into account the influence of temperature changes under weather forecast, and then uses the GA optimized TS-FNN The prediction of the sag of the transmission line has verified the feasibility and accuracy of the proposed theory and method through simulation analysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::92404f01fc11ecfd0bc5c99dc690b9ed https://doi.org/10.1088/1742-6596/2158/1/012008 Zobrazit plný text záznamu