Interval Harmonic Power Flow Algorithm Based on Relative Distance Measure

Autor:	Xiaoling Fang, Jinchen Lan, Yan Lin, Danyue Wu, Shuangting Xu, Jiaye Yang, Yihuang Chen
Rok vydání:	2023
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2450:012077
ISSN:	1742-6596 1742-6588
Popis:	In the harmonic power flow calculation of the power grid, the indeterminacy of new energy generation, the volatility and intermittency of nonlinear load will lead to the uncertainty of the injected harmonic current. In order to deal with the uncertainty information in the power grid, relative distance measurement (RDM) is used instead of point values to describe the uncertainty of distributed generations(DGs) output and state variables. In this paper, the RDM harmonic source model is built to solve the interval harmonic power flow. Through a typical 33-node distribution network calculation example, it is testified that the RDM Power flow algorithm has sufficient completeness and low conservatism compared with the traditional interval algorithm and Monte Carlo method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f88a4073429e408ccff36a3a120ac191 https://doi.org/10.1088/1742-6596/2450/1/012077 Zobrazit plný text záznamu