DocumentCode
2895535
Title
Stochastic evaluation of voltage in distribution networks considering the characteristic of distributed generators
Author
Zhang, Zhe ; Li, Gengyin ; Wang, Song ; Wang, Jinhao ; Wang, Zhigang
Author_Institution
State Key Lab. of Alternate Electr. Power Syst., North China Electr. Power Univ., Beijing, China
fYear
2011
fDate
6-9 July 2011
Firstpage
1132
Lastpage
1137
Abstract
As the probabilistic load flow (PLF) approach is often applied in the assessment the voltage in the distribution system with the distributed generation, the intermittent power output of the distributed generators (DGs) should be more considered. The power variation characteristics of load and distributed generators should be treated separately. In this paper, taking the PV arrays for the typical example, the probability density function (PDF) of the DG is derived from the mathematical model of the power source and the PDF of its uncertain variables. The stochastic voltage evaluation via the PLF is processed by the 2 point estimate method (2 PEM). Besides, the possible network configurations with the relative probability are also considered, for analyzing the comprehensive case for the occurrence of network change. The proposed method will be tested with the modified IEEE 13-nodel feeder test system, and the data for the probabilistic evaluating features of all the nodal voltages distribution are obtained. The results can be used to help know the general and complete voltage effects.
Keywords
distributed power generation; load flow; photovoltaic power systems; probability; stochastic processes; IEEE 13-nodel feeder test system; PDF; PV arrays; distributed generators; distribution networks; distribution system; point estimate method; power source; probabilistic load flow; probability density function; stochastic voltage evaluation; Generators; Load flow; Mathematical model; Probabilistic logic; Probability; Probability density function; Stochastic processes; distributed generators (DGs); distribution network; probabilistic density function(PDF); probabilistic load flow (PLF); stochastic evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
Conference_Location
Weihai, Shandong
Print_ISBN
978-1-4577-0364-5
Type
conf
DOI
10.1109/DRPT.2011.5994065
Filename
5994065
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