Optimal day‐ahead scheduling for active distribution network based on improved information gap decision theory

Optimal day‐ahead scheduling for active distribution network based on improved information gap decision theory

Abstract In this study, information gap decision theory (IGDT) is reformed to formulate the uncertain parameters of wind power, photovoltaic and load. Traditional IGDT presumes that positive and negative deviations of uncertain parameters of the predicted value are equal, and it would result in impr...

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Bibliographic Details
Main Authors: Xiaolin Ge, Xiaohe Zhu, Xing Ju, Yang Fu, Kwok Lun Lo, Yang Mi
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:IET Renewable Power Generation
Subjects:
Game theory
Optimisation techniques
Distribution networks
Online Access:https://doi.org/10.1049/rpg2.12045

Internet

https://doi.org/10.1049/rpg2.12045

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