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Estimation of penetration limit of variable resources based on frequency deviation

Authors: Saleh Almasabi; Nga Nguyen; Joydeep Mitra;

Estimation of penetration limit of variable resources based on frequency deviation

Abstract

This paper presents a method to estimate the maximum level of variable energy resources that can be integrated into the grid based on the frequency security constraint. The method described uses the approximation of the frequency deviation extremum based on the sensitivity analysis. The approximated results are then employed to estimate the change of the maximum frequency deviation following the change of inertia and the equivalent regulation constant in the presence of variable energy resources. The frequency security constraint is then used to define the maximum level of variable energy resources penetration. The approximation model has been tested on two test systems and the obtained results are compared with those produced by the simulation. The comparison shows that the proposed method can be utilized to define the maximum level of variable energy resources penetration while securing the stability and reliability of the system without losing notable accuracy.

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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!
10
Top 10%
Average
Top 10%