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Power System Voltage Stability Limits Estimation based on Quasi-Steady-State Simulation

Authors: An Ning; Zhu Lingzhi; Zhou Shuang-xi;

Power System Voltage Stability Limits Estimation based on Quasi-Steady-State Simulation

Abstract

The electricity demand and thus the amount of transmitted power are continuously growing in recent year while extensions of transmission systems have kept relatively slow. These results in larger stress of transmission systems that are operated much closer to stability boundaries than ever. This creates a demand for tools allowing very accurate and rapid monitoring of power system voltage stability margin with regard to load demand. This paper deals with applying quasi-steady-state analysis to study long term voltage stability problems resulting from small disturbances or load increase. The long term evolution is traced by successive equilibrium points, hence offering a good compromise between efficiency and accuracy. First a simple case is discussed, where only static load model is adopted and long term load restoration is considered by OLTC tap changing, then load models with long term restoration is dealt. The novel approach provides good convergence when system approaches the critical point by choosing continuation parameter. The accurate load demand margin and high simulation speed are also achieved at the same time. Numerical results are illustrated on a test system.

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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!
6
Average
Top 10%
Average