Optimal Scheduled Unit Commitment Considering Wind Uncertainty Using Cuckoo Search Algorithm

Subject Areas : Stochastics Problems

Saniya  Maghsudlu ¹ (Department of Electrical Engineering, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran)
sirus  mohammadi ² (Department Of Electrical Engineering, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran)

Received: 2016-01-02 Accepted : 2016-04-10 Published : 2016-06-01

Keywords: Monte Carlo Simulation, Wind power, Renewable Energy, Cuckoo search algorithm,

Abstract :

In this paper, a new method to review the role of wind units as an energy-producer 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 meta-heuristic 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.

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