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    Modeling and quantification of power system resilience to natural hazards: a case of landslide

    , Article IEEE Access ; Volume 9 , 2021 , Pages 80300-80309 ; 21693536 (ISSN) Ghorani, R ; Fattaheian-Dehkordi, S ; Farrokhi, M ; Fotuhi Firuzabad, M ; Lehtonen, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    Power systems are stretched across thousands of miles of diverse territories, often in remote locations, to generate and transfer the energy to geographically dispersed customers. The system is therefore subjected to a wide range of natural hazards which could potentially damage critical system components and cause interruption of electricity supply in some areas. To improve system resilience against natural hazards, management frameworks are required to identify hazardous areas and prioritize reinforcement activities in order to take the most out of the limited resources.Landslide is a natural disaster that involves the breakup and downhill flow of rock, mud, water, and anything caught in... 

    Fuzzy generation scheduling for a generation company (GenCo) with large scale wind farms

    , Article Energy Conversion and Management ; Volume 51, Issue 10 , 2010 , Pages 1947-1957 ; 01968904 (ISSN) Siahkali, H ; Vakilian, M ; Sharif University of Technology
    Abstract
    Wind power is a promising alternative in power generation because of its tremendous environmental and social benefits. Generation scheduling (GS) is more important in a power system integrating wind farms. Unlike conventional power generation sources, wind power generators supply intermittent power because of uncertainty in resource. This paper presents a fuzzy approach to the generation scheduling problem of a GenCo considering uncertainties in parameters or constraints such as load, reserve and available wind power generation. The modeling of constraints is an important issue in power system scheduling. A fuzzy optimization approach is an approach that can be used to obtain the generation...