Issue |
E3S Web Conf.
Volume 140, 2019
International Scientific Conference on Energy, Environmental and Construction Engineering (EECE-2019)
|
|
---|---|---|
Article Number | 11008 | |
Number of page(s) | 8 | |
Section | Renewable Energy | |
DOI | https://doi.org/10.1051/e3sconf/201914011008 | |
Published online | 18 December 2019 |
Capacity payment allocation in hydrothermal power systems with high shares of renewable energies
1
Centro de Energía, Department of Electrical Engineering, University of Chile
2
Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibánez
3
The University of Manchester, School of Engineering, Department of Mechanical, Aerospace and Civil Engineering (MACE)
* Corresponding author: cabenavi@centroenergia.cl
The increasing use of variable generation technologies (VGTs) in power systems, such as wind and photovoltaic generation, has introduced new challenges in the definition of capacity remuneration mechanisms for promoting system reliability. In this context, in this article we propose a novel framework for determining the capacity value of VGTs to contribute to the generation system adequacy, as well as a corresponding method for allocating capacity payments in hydrothermal power systems. We show that the capacity value of VGTs increases with the presence of water reservoirs, since VGTs help relieving hydropower plants from using scarce water resources during off-peak hours thus making more resources available to supply the demand during peak hours.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.