Probabilistic Reactive Power Reserve Assessment in the Presence of Load and Wind Uncertainties Considering Correlation

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Date

2021

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Institute of Electrical and Electronics Engineers Inc.

Abstract

Voltage stability plays a crucial role in the reliable operation of power systems. The Reactive Power Reserve (RPR) available at the sources is one of the parameters that represent the voltage stability margin of the power system. In the modern power systems, the existence of highly uncertain reactive power demand by the wind power generating units affects the RPR which in turn affects voltage stability. This paper considers the uncertainties related with load and wind to determine the stochastic information of system RPR. The stochastic RPR assessment problem is solved by using Two Point Estimate Method (2PEM) for IEEE-9 bus and IEEE-118 bus test systems, and the results are compared against Monte Carlo Simulation (MCS). Correlation between system loads and wind speeds is also considered to analyze the effect of correlation of uncertain input variables on system RPR. © 2021 IEEE.

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Keywords

Cumulative Distribution Function (CDF), Effective Reactive Power Reserve (ERPR), Monte Carlo Simulation (MCS), Probability Density Function (PDF), Two Point Estimate Method (2PEM)

Citation

Proceedings of 2021 IEEE 2nd International Conference on Smart Technologies for Power, Energy and Control, STPEC 2021, 2021, Vol., , p. -

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