DocumentCode
3248902
Title
Non-sequential simulation methods for reliability analysis of power systems with photovoltaic generation
Author
Shu, Zhen ; Jirutitijaroen, Panida
Author_Institution
Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2010
fDate
14-17 June 2010
Firstpage
703
Lastpage
709
Abstract
This paper investigates non-sequential simulation methods for single-area electric power system reliability evaluation with time dependent sources such as photovoltaic (PV) generation. Three random sampling techniques are proposed, considering the system load and PV generation as correlated random variables. Reliability indices such as expected loss of load and loss of load probability are estimated from the simulation. The comparisons are made between direct application of sequential sampling and the proposed random sampling methods. Results show that the indices from the proposed simulation methods are as accurate as those from sequential simulation while requiring much less CPU time. The test system is taken from Singapore Energy Market Authority (EMA) data in 2008.
Keywords
Monte Carlo methods; photovoltaic power systems; power generation reliability; probability; random processes; Monte Carlo simulation; PV generation; Singapore Energy Market Authority; load probability loss; nonsequential simulation methods; photovoltaic generation; power system reliability analysis; random sampling techniques; reliability indices; sequential sampling method; single-area electric power system reliability evaluation; time dependent source; Analytical models; Photovoltaic systems; Power generation; Power system analysis computing; Power system reliability; Power system simulation; Random variables; Sampling methods; Solar power generation; System testing; Monte Carlo simulation; correlation analysis; renewable energy; single-area power system reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5720-5
Type
conf
DOI
10.1109/PMAPS.2010.5528395
Filename
5528395
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