What is it about?
The integration of non-conventional renewable energy sources into the electric power system is a reality around the world. However, from a technical perspective, due to its variable nature, the use of this generation technology introduces uncertainties in the performance of power systems. Thus, in this paper a generation adequacy analysis is performed. Regarding the methodology used to model the power injection of m renewable units, a probabilistic methodology that combines the point estimate method (PEM) with a non-sequential Monte Carlo Simulation (MCS) technique is presented. It should be noted that the IEEE 24-bus RTS was used as test system for the adequacy assessment. In this way, coal-fired thermal generation units were replaced by non-conventional renewable energy sources (solar and/or wind). In addition, the performance of these technologies was analyzed along with the effect of increasing their capacity on the different adequacy indices.
Featured Image
Photo by Mariana Proença on Unsplash
Why is it important?
This paper has proposed one model for RES-based power plants to be used in the adequacy assessment of hierarchical level I (generation). The proposed model combines the point estimate method (PEM) analysis for systems with a set of m random variables, correlated or non-correlated, with a non-sequential Monte Carlo Simulation.
Perspectives
The advantage of this model consists of that it requires only the knowledge of statistics from actual data or simulated data of the behavior of injected power the RES-based power plants to an AC system, without additional knowledge of the probability distribution function (pdf) that could model the random characteristics of the injected power of RES. It is important to mention that sometimes is not possible to fit a pdf; and the proposed method avoids its computation. Very useful for planning taking into account that it requires less computational time than Monte Carlo simulations.
Professor Mario A Rios
Universidad de los Andes
Read the Original
This page is a summary of: PEM-based Generation Adequacy Assessment of Power Systems with Non-Conventional Renewable Energy Sources, June 2022, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/pmaps53380.2022.9810608.
You can read the full text:
Contributors
The following have contributed to this page
