Research on supporting mechanism of ancillary service of PV system to grid energy efficiency based on multi-time and space-time operation.
View / Open Files
Publication Date
2022Journal Title
PLoS One
ISSN
1932-6203
Publisher
Public Library of Science (PLoS)
Volume
17
Issue
5
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Yong, C., Shao, M., Xiaoqian, Z., Wen, L., Desen, J., & Ramsey, T. S. (2022). Research on supporting mechanism of ancillary service of PV system to grid energy efficiency based on multi-time and space-time operation.. PLoS One, 17 (5) https://doi.org/10.1371/journal.pone.0268173
Abstract
Under the background of high-energy penetration of new energy into the power grid, this paper takes the ancillary service capability of photovoltaic energy integrated into the grid as the starting point and builds a photovoltaic system reactive power service impact evaluation model on the grid energy efficiency. This is based on the multi-temporal and spatial scale operation mode, in order to study the supporting principles of photovoltaic system reactive power services on the energy efficiency of grid operation and the law of influence on system energy efficiency changes. In this way, the space for power system energy efficiency improvement and the reactive power service market value of renewable energy are explored to improve the renewable energy auxiliary services participation in the theoretical system of electric power spot market transactions. The research conclusions can provide a decision-making reference for system dynamic energy efficiency management and can assist relevant market entities to make optimal decisions in spot market transactions, and provide empirical data for improving the theory of renewable energy participation in auxiliary service market transactions.
Keywords
Conservation of Energy Resources, Electricity, Renewable Energy
Identifiers
35560152, PMC9106158
External DOI: https://doi.org/10.1371/journal.pone.0268173
This record's URL: https://www.repository.cam.ac.uk/handle/1810/338056
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk