Optimal location of UPFC based on sensitivity of CDF with power system’s stochasticity
Joint Authors
Zhang, Ningyu
Zhao, Jingbo
Zhou, Qian
Source
Journal of Engineering Research
Issue
Vol. 9, Issue 2 (30 Jun. 2021), pp.149-160, 12 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2021-06-30
Country of Publication
Kuwait
No. of Pages
12
Main Subjects
Abstract EN
In this paper, a stochastic sensitivity algorithm is introduced to optimize the location of unified power flow controller (UPFC) in large scale power grid.
the stochastic sensitivities are defined as the total operation cost of power system to control parameters of UPFC.
firstly, probability optimal power flow (POPF) model with power system's randomness is established.
then point estimate method (PEM) is utilized to solve the above problem, so that the stochastic sensitivities of UPFC in all possible transmission lines could be obtained.
finally, by sorting the influence degree of UPFC at different locations to cumulative distribution function (CDF) of operation cost, the optimal location for UPFC could be selected correspondingly.
to this end, IEEE-5 and IEEE-14 systems are employed to verify our proposed approach.
the results show that installing UPFC by the method in this paper could significantly reduce the probability distribution of operation cost in higher region.
American Psychological Association (APA)
Zhang, Ningyu& Zhao, Jingbo& Zhou, Qian. 2021. Optimal location of UPFC based on sensitivity of CDF with power system’s stochasticity. Journal of Engineering Research،Vol. 9, no. 2, pp.149-160.
https://search.emarefa.net/detail/BIM-1494843
Modern Language Association (MLA)
Zhang, Ningyu…[et al.]. Optimal location of UPFC based on sensitivity of CDF with power system’s stochasticity. Journal of Engineering Research Vol. 9, no. 2 (Jun. 2021), pp.149-160.
https://search.emarefa.net/detail/BIM-1494843
American Medical Association (AMA)
Zhang, Ningyu& Zhao, Jingbo& Zhou, Qian. Optimal location of UPFC based on sensitivity of CDF with power system’s stochasticity. Journal of Engineering Research. 2021. Vol. 9, no. 2, pp.149-160.
https://search.emarefa.net/detail/BIM-1494843
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 160
Record ID
BIM-1494843