What is it about?
The large-scale integration of inverter-based renewable energies is displacing synchronous machine generation. As a result, total connected inertia has begun to be reduced in power grids. The Rate of Change of Frequency (RoCoF) is particularly affected by inertia loss. In this paper, the probabilistic Point Estimate Method (PEM) is used as a tool to quantify and assess impact on RoCoF. A general description of PEM is presented, followed by its application on different cases, based on the number of connected wind power plants (WPPs) and the correlation between them. A Grid-Forming Converter is used since its provision of synthetic inertia plays an important role on limiting RoCoF. Different ways of measuring RoCoF are reviewed, implemented and compared. As a final result, a confidence interval is constructed for RoCoF according to each scenario and RoCoF measurement.
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Why is it important?
Uncertainty in power injections from renewable sources impacts on dynamic behavior of the system. This paper shows how tu assess the uncertainty on the RoCoF computing confidence intervals that shows the variance around a mean value. This kind of analysis will help to the operation control center with information to establish the spinning reserve.
Perspectives
Spinning reserve must take into account uncertainty of power injections from renewable sources. Questions ¿how many spinning reserve? ¿how compute it?
Professor Mario A Rios
Universidad de los Andes
Read the Original
This page is a summary of: Uncertainty model for rate of change of frequency analysis with high renewable energy participation, International Journal of Electrical and Computer Engineering (IJECE), August 2023, Institute of Advanced Engineering and Science,
DOI: 10.11591/ijece.v13i4.pp3660-3671.
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