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Remote Voltage Control Using the Holomorphic Embedding Load Flow Method

Authors: Chengxi Liu; Nan Qin; Kai Sun; Claus Leth Bak;

Remote Voltage Control Using the Holomorphic Embedding Load Flow Method

Abstract

This paper proposes a new remote voltage control approach based on the non-iterative holomorphic embedding load flow method (HELM). Unlike traditional power-flow-based methods, this method can guarantee the convergence to the stable upper branch solution if it exists and does not depend on an initial guess of the solution. Bus type modifications are set up for remote voltage control. A participation factor matrix is integrated into the HELM to distribute reactive power injections among multiple remote reactive power resources so that the approach can remotely control the voltage magnitudes of desired buses. The proposed approach is compared with a conventional Newton-Raphson (N-R) approach by study cases on the IEEE New England 39-bus system and the IEEE 118-bus system under different conditions. The results show that the proposed approach is superior to the N-R approach in terms of tractability and convergence performance.

Country
Denmark
Keywords

power flow analysis, Holomorphic embedding load flow method, remote voltage control

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
Green
bronze