Abstract
Summary This paper evaluates the impact of wind speed correlation uncertainties among multiple wind farms on optimal integration of these wind energy conversion systems to bulk electric system. The problem is solved by a fuzzy version of technique for order preference by similarity to ideal solution as a proficient multi-criteria decision-making (MCDM) method. The uncertainties are addressed through utilizing triangular fuzzy numbers. The proposed MCDM approach considers emission, interruption, and operation and investment costs as three competent decision-making criteria. A sequential Monte Carlo simulation-based chronological optimal power flow (MCS-COPF) incorporating time series characteristics of wind farms is also proposed in this paper to calculate the aforementioned criteria for each integration plan during planning horizon. In this regard, the autoregressive moving average time series model is used to simulate hourly wind speeds during MCS-COPF process. The proposed MCDM scheme is implemented on the IEEE-24 bus reliability test system through different integration alternatives. Copyright © 2015 John Wiley & Sons, Ltd.
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