Optimal Allocation of Distributed Wind Generation Based on Firefly Algorithm
In view of the randomness of distributed wind generation (DWG) and uncertainties of wind power load,this paper proposes a DWG optimal allocation model aiming at minimizing the annual overall cost.Thereby,the nodal voltage and branch flow constraints are described in the form of chance constrained programming,and are examined by of stochastic power flow based on Latin Hypercube Sampling-Monte Carlo Simulation (LHS-MCS).Firefly algorithm is adopted to solve the model.Results of IEEE 33 bus test system have confirmed the rationality of the proposed model.Its efficiency has been proved by the comparison with Genetic Algorithm (GA).
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