期刊论文|Feature distance based online cluster modeling of LVRT controlled PV power plants
发布时间:2022年05月11日 17:19    作者:    点击:[]

Feature distance based online cluster modeling of LVRT controlled PV power plants


作者:Jinghong Zheng; Zhimin Ma; Zhijun Wang; Xiaoyu Wang; Shouzhen Zhu; Ling Wei

摘要:This paper presents a feature distance based online cluster modeling method for low voltage ride-through (LVRT) controlled photovoltaic (PV) power plant under partial shading. The proposed modeling approach uses the PV inverter feature distance weighted by parameter sensitivity as the clustering index and integrates an equivalent LVRT modelling strategy to describe the complete dynamic performance of the modelled PV power plant. The effectiveness of the proposed method is verified through the simulation results which also show that the method can accurately track the dynamic responses of PV power plant as the power distribution among different PV inverters changes.

发表于:Electric Power Systems Research (Volume 154, 2018)


上一条:期刊论文|Effects of correlated photovoltaic power and load uncertainties on grid-connected microgrid day-ahead scheduling 下一条:期刊论文|Impact of Causality on Performance of Phasor Measurement Unit Algorithms

关闭

Copyright © 2021 All rights reserved. 版权所有:bwin必赢中国官网科研团队 电话:0531-88392369 传真:0531-88392369 山东大学千佛山校区 济南市经十路17923号 邮编 250061 山东大学兴隆山校区 济南市二环东路12550号 邮编 250002