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
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;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-5072-3
DOI :
10.1109/PEOCO.2013.6564597