Abstract

this paper presents a probabilistic assessment of Available Transfer Capability (ATC) in the presence of intermittent wind resources in the power system. An optimal power flow based approach is considered to calculate ATC wherein wind resources are considered as an equivalent active power generation placed in the transmission system, the optimal location being decided by the Voltage sensitivity indices. A probabilistic load model is considered using two different sampling techniques, viz. Monte Carlo Sampling (MCS) and Latin Hypercube Sampling (LHS) and a comparison of results for ATC calculation using the two sampling methods is put forth.

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