Please use this identifier to cite or link to this item: https://doi.org/10.1109/PMAPS.2010.5528395
Title: Non-sequential simulation methods for reliability analysis of power systems with photovoltaic generation
Authors: Shu, Z. 
Jirutitijaroen, P. 
Keywords: Correlation analysis
Monte Carlo simulation
Renewable energy
Single-area power system reliability
Issue Date: 2010
Source: Shu, Z.,Jirutitijaroen, P. (2010). Non-sequential simulation methods for reliability analysis of power systems with photovoltaic generation. 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 : 703-709. ScholarBank@NUS Repository. https://doi.org/10.1109/PMAPS.2010.5528395
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. © 2010 IEEE.
Source Title: 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/71167
ISBN: 9781424457236
DOI: 10.1109/PMAPS.2010.5528395
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