کلیدواژهها
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Distributed generation, electric distribution network, contract price, Uncertainty, Stochastic Programming, Multi
Objective, Genetic Algorithm
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چکیده
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Since electricity demand is increasing continuously, it is necessary to invest in expansion of distribution network
capacity. From the asset management point of view, it is necessary to encourage the private sector to invest in
distribution network. To do this, distribution network managers, must provide important opportunities for private
sector, profit from their investments. One of the options for private sector is to invest on distributed generations. In
this regards, Distribution Company (DisCo) must sign Power Purchase Agreement (PPA) with DG owners (DGO).
So, optimal siting, sizing and PPA rates, from economic point of view are important challenges which is considered
as the main contribution of this paper. The proposed methodology of this paper, applies load and price uncertainties
into the planning problem. The proposed scheme is solved using NSGA II, since it attains non-dominated solutions
which DisCo and the DGO can put their personal preferences into practice. To evaluate the effectiveness of the
suggested method, the computer simulations are done on a 33-bus distribution network and the results are discussed.
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