DocumentCode
622195
Title
Reliability evaluation of a composite power system containing wind and solar generation
Author
Ghaedi, Amir ; Abbaspour, Ali ; Fotuhi-Firuzabad, Mahmud ; Moeini-Aghtaie, Moein ; Othman, Marini
Author_Institution
Center of Excellence in Power Syst. Manage. & Control, Sharif Univ. of Technol., Tehran, Iran
fYear
2013
fDate
3-4 June 2013
Firstpage
483
Lastpage
488
Abstract
Variability and uncertainty of wind and photovoltaic (PV) generations greatly influence technical and financial aspects of power systems. This paper examines the potential impacts of large-scale wind and PV farms on reliability level of composite generation and transmission systems. At first, reliability models of renewable-based units are developed. In these models, both component failure rates and uncertainty nature of renewable resources are taken into account. Using the proposed technique, the multi-state analytical models of a wind farm placed in Manjil and a PV farm placed in Jask both in Iran are extracted. Then, reliability studies of high renewable-energies penetrated power system at Hierarchical Level II (HLII) based on the state enumeration method taking into account the multi-state models of renewable-based units are completely addressed. The proposed technique is then applied to two well-known modified test systems, i.e. (RBTS and IEEE-RTS) and different reliability indices are calculated. The obtained results well confirms the proposed method simplicity and accuracy.
Keywords
power generation reliability; power transmission reliability; renewable energy sources; solar power stations; wind power plants; HLII; IEEE-RTS; PV farms; RBTS; component failure rates; composite generation systems; composite power system; composite transmission systems; financial aspects; hierarchical level II; high renewable-energies penetrated power system; large-scale wind farms; modified test systems; multi-state analytical models; photovoltaic generations; reliability evaluation; renewable-based units; technical aspects; uncertainty nature; wind generations; Power system reliability; Reliability; Wind farms; Wind speed; Wind turbines; Composite Reliability Evaluation; Fuzzy Clustering; Photovoltaic Farm; Reliability; Wind Farm;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
Conference_Location
Langkawi
Print_ISBN
978-1-4673-5072-3
Type
conf
DOI
10.1109/PEOCO.2013.6564597
Filename
6564597
Link To Document