The Contribution of Wind Energy Capacity on Generation Systems Adequacy Reliability using Differential Evolution Optimization Algorithm
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_050640.pdf
Reference33 articles.
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2. A. M. L. Da Silva, R. A. Gonzalez-Fernandez, S. A. Flavio, and L. A. F. Manso, "Composite reliability evaluation with renewable sources based on quasi-sequential Monte Carlo and cross entropy methods," International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 1-6. 2014, doi: 10.1109/PMAPS.2014.6960618.
3. M. H. Moradi and M. Abedini, "A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems," Electrical Power & Energy Systems, 34(1), 66-74, 2012. doi: 10.1016/j.ijepes.2011.08.023.
4. Y. Zhang, A. A. Chowdhury, and D. O. Koval, "Probabilistic wind energy modeling in electric generation system reliability assessment," IREP-Bulk Power System Dynamics and Control-VII Conference, 1-8, 2010, doi: 10.1109/TIA.2011.2127435.
5. R. Karki, D. Dhungana, and R. Billinton, "An Appropriate Wind Model for Wind Integrated Power Systems Reliability Evaluation Considering Wind Speed Correlations," Appled Scinces, 3, 107-121, 2013. doi: 10.3390/app3010107.
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