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    Robust linear model for multi-period AC optimal power flow

    , Article IET Generation, Transmission and Distribution ; Volume 14, Issue 13 , 2020 , Pages 2535-2548 Heidarabadi, H ; Pourahmadi, F ; Hossieni, S. H ; Sharif University of Technology
    Institution of Engineering and Technology  2020
    Abstract
    In the near future power systems, efficient management of uncertainties with considering the system constraints without any simplification will be a challenge for system operators. Considering AC constraints leads to providing more accurate schedule of generating units, which can have a significant impact on the reduction of operating costs. Although numerous studies have been done to convexify AC optimal power flow constraints, most of the models are non-linear, which can be intractable for large-scale systems. In this study, a novel linear robust AC model is introduced using a combination of the quadratic convex relaxation (QCR) and the Frank-Wolfe algorithm for linearising the AC... 

    Robust restoration of distribution systems considering DG units and direct load control programs

    , Article Turkish Journal of Electrical Engineering and Computer Sciences ; Volume 26, Issue 5 , 2018 , Pages 2676-2687 ; 13000632 (ISSN) Asadi, A ; Fotuhi Firuzabad, M ; Sharif University of Technology
    Turkiye Klinikleri Journal of Medical Sciences  2018
    Abstract
    This paper presents a new method for restoration of distribution networks after a fault occurrence. This problem is solved from the viewpoint of the distribution system operator with the main goal of minimizing the operating cost during the fault clearance period. The effects of distributed generation (DG) units and direct load control (DLC) programs are considered in designing the proposed restoration procedure. Moreover, the uncertainties associated with the predicted loads of different nodes and the availability of DG are modeled here. Robust optimization is used to model the uncertainties of restoration problems and manage their associated risks. Finally, a robust reconfiguration plan is...