Abstract
In this paper, a probabilistic method to assess the market impact of Wind Turbines (WTs) in distribution systems is proposed. Combined Monte Carlo Simulation (MCS) technique and Optimal Power Flow (OPF) are used to maximize the Social Welfare (SW) considering different combinations of WT generations and load demands over a year. MCS is used to model the uncertainties related to the stochastic nature of wind as well as the volatility of WTs' offers. The OPF is solved by using Step-Controlled Primal Dual Interior Point Method (SCPDIPM) considering network constraints. The effectiveness of the proposed method is demonstrated with an 83-bus 11.4 kV radial distribution system. (6 pages)
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