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    Developing the Model of Interconnected Power Grid and Evaluating the Competition of Distributed Systems According to Economical and Environmental Criteria

    , M.Sc. Thesis Sharif University of Technology Roostaazad, Sajad (Author) ; Saboohi, Yadollah (Supervisor)
    Abstract
    This report models the electricity supply network by means of the ESM software. In this model, the distribution company obtains its final users’ electricity demand from three sources: distributed generation plants owned by private sector, distributed generation plants owned by the distribution company and buying from electricity market (Over distribution network). According to the model, the optimum point of operating the network is a point with maximum profit, minimum waste and environmental effects. The optimum point of supply minimizes the network wastes to an optimum extent. In this model, the distribution company can supply the extra electricity to the electricity market, provided that... 

    Distributionally robust chance-constrained generation expansion planning

    , Article IEEE Transactions on Power Systems ; Volume 35, Issue 4 , 2020 , Pages 2888-2903 Pourahmadi, F ; Kazempour, J ; Ordoudis, C ; Pinson, P ; Hosseini, S. H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    This article addresses a centralized generation expansion planning problem, accounting for both long- and short-term uncertainties. The long-term uncertainty (demand growth) is modeled via a set of scenarios, while the short-term uncertainty (wind power generation) is described by a family of probability distributions with the same first- and second-order moments obtained from historical data. The resulting model is a distributionally robust chance-constrained optimization problem, which selects the conventional generating units to be built among predefined discrete options. This model includes a detailed representation of unit commitment constraints. To achieve computational tractability,...