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33 7 Vol.33 No.7 Mar.5, 2013
2013 3 5 Proceedings of the CSEE ©2013 Chin.Soc.for Elec.Eng. 77
0258-8013 (2013) 07-0077-09 TM 71 A 470 40
(() 102206)
Probabilistic Load Flow Method Considering Large-scale Wind Power Integration
ZHU Xingyang, LIU Wenxia, ZHANG Jianhua
(State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power
University), Changping District, Beijing 102206, China)
ABSTRACT: A probabilistic power load flow (PLF) method
considering large-scale wind power integration was proposed
in this paper. The method , based on the current PLF method
and using semi-invariant and series expansion, can make C Gram-Charlier
improvements in two aspects. First, piecewise linearization A Gram-Charlier
model was used to reduce the power flow model linearization
error and improve calculation accuracy of dependent variable
semi-invariant. Second, C-type Gram-Charlier series was
introduced into the proposed algorithm to avoid getting the
negative value of probalibity density function (PDF) of node IEEE 30
voltage or branch power when the A-type Gram-Charlier series
expansion was used to estimate distribution of random
variables in probabilistic load flow calculation with large-scale
wind power. To obtain semi-invariant of state variables, the
inter-relation
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