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   optimal scheduled unit commitment considering wind uncertainty using cuckoo search algorithm  
   
نویسنده maghsudlu saniya ,mohammadi sirus
منبع iranian journal of optimization - 2016 - دوره : 8 - شماره : 1 - صفحه:17 -27
چکیده    in this paper, a new method to review the role of wind units as an energyproducer in the scheduling problem of unit commitment is presented. today, renewable energy sources due to lack of environmental pollution, absence of dependence on fossil fuels, and consequently a very low marginal cost, have been receiving considerable attention in power system. but these sources are associated with uncertainty, solving unit commitment problem as a traditional power system optimization program that attempts to determine optimal entry and exit units and optimal production per unit minimizes the total cost of production. then, in this study using an iterative algorithm randomly with allocation of probability density functions fits the wind speed, uncertainty of production wind units has been modeled in the unit commitment program. economic analysis of uc with wind power is performed in order to minimize total system cost. in this paper to achieve the optimum solution, a metaheuristic cuckoo search (cs) algorithm with high convergence speed is used to solve the unit commitment problem considering ieee standard 10 unit test system. the simulations results show the effectiveness of the proposed method for reducing production costs and improving load profiles.
کلیدواژه renewable energy ,wind power ,cuckoo search algorithm ,monte carlo simulation
آدرس islamic azad university, bandar abbas branch, department of electrical engineering, iran, islamic azad university, gachsaran branch, department of electrical engineering, iran
پست الکترونیکی s.mohammadi@srbiau.ac.ir
 
 

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