A time-dependent approach to evaluate capacity value of wind and solar PV generation

Mosadeghy, Mehdi, Yan, Ruifeng and Saha, Tapan Kumar (2016) A time-dependent approach to evaluate capacity value of wind and solar PV generation. IEEE Transactions on Sustainable Energy, 7 1: 129-138. doi:10.1109/TSTE.2015.2478518

Author Mosadeghy, Mehdi
Yan, Ruifeng
Saha, Tapan Kumar
Title A time-dependent approach to evaluate capacity value of wind and solar PV generation
Journal name IEEE Transactions on Sustainable Energy   Check publisher's open access policy
ISSN 1949-3029
Publication date 2016-01-01
Year available 2015
Sub-type Article (original research)
DOI 10.1109/TSTE.2015.2478518
Open Access Status Not Open Access
Volume 7
Issue 1
Start page 129
End page 138
Total pages 10
Place of publication Piscataway, NJ United States
Publisher Institute of Electrical and Electronics Engineers
Language eng
Abstract Print Request Permissions Contribution of renewable energies in power systems is increasing due to continuous growth of wind and solar generators. Because of intermittency and uncertainty of these resources, conventional reliability evaluation methods are not applicable and different techniques have been developed to model these generators. However, most of these methods are time-consuming or may not be able to keep time dependency and correlations between renewable resources and load. Therefore, this paper intends to improve the existing methods and proposes a fast and simple approach. In this approach, wind power, photovoltaic (PV) generation, and electricity demand have been modeled as time-dependent clusters, which not only can capture their time-dependent attributes, but also are able to keep the correlations between these data sets. To illustrate the effectiveness of this framework, the proposed methodology has been applied on two different case studies: 1)IEEE RTS system and 2)South Australia (SA) power network. The developed technique is validated by comparing results with sequential Monte Carlo technique.
Keyword Capacity value
South Australia (SA) power system
Reliability assessment
Wind and photovoltaic (PV)
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Information Technology and Electrical Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 9 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 8 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sun, 24 Jan 2016, 10:21:27 EST by System User on behalf of School of Information Technol and Elec Engineering