Abstract
This paper proposes a novel approach using a non-linear least squares method for fitting optimally statistical data points to estimate optimal set-points of various local Volt/var droop control schemes implemented into wind generators (WGs) in distribution networks. The approach utilizes the Monte Carlo simulation and considers the variation of wind speed, electricity demand, and outage duration of WGs as uncertainties to evaluate the effects of each local scheme regarding the resulting statistical attributes of voltage variation profiles and total active power losses. The approach's effectiveness is demonstrated on a radial distribution network in Germany with four identical 20 kV feeders.
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