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15-09-2017 | Original Paper

Worst-case temporal aggregate power ramp distributions for a PAC wind turbine

Author: Sanjoy Roy

Published in: Energy Systems | Issue 4/2018

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Abstract

As a critical component for evaluation of output power variability at wind farms, short duration power ramp distributions are typically evaluated as ensemble estimates across elaborate time-aggregated compilation of on-site field measurements. This paper proposes an algorithmic alternative to the above, by introducing statistical estimates both for probability density function (pdf) and cumulative distribution function (cdf) of power ramps. The estimates are pessimistic as possible real time filtering, attributable to turbine inertia and time-constants, is assumed to be negligible. The proposed algorithm is conveniently implemented on popular spreadsheet software, has limited dependence on source wind statistics, and easily accommodates turbulence conditions given by the IEC 61400-1 standards. Its application is illustrated for the popular Vestas V-90 3 MW turbine, assumed to operate at a site with source wind accordingly specified.

previous article Fault ride-through capability enhancement of DFIG-based wind turbine using novel dynamic voltage restorer based on two switches boost converter coupled with quinary multi-level inverter

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Title: Worst-case temporal aggregate power ramp distributions for a PAC wind turbine
Author: Sanjoy Roy
Publication date: 15-09-2017
Publisher: Springer Berlin Heidelberg
Published in: Energy Systems / Issue 4/2018
Print ISSN: 1868-3967
Electronic ISSN: 1868-3975
DOI: https://doi.org/10.1007/s12667-017-0250-z

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