2021
DOI: 10.1049/rpg2.12045
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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 imprecise assessment of fluctuated intervals. This study proposes an improved IGDT to overcome the inaccuracy of traditional IGDT by considering unsymmetrical fluctuation levels of uncertainties. For the operation and control of… Show more

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Cited by 5 publications
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