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PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409)
DOI: 10.1109/icpst.2000.897116
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Composite system reliability evaluation using AC equivalent network

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Cited by 11 publications
(9 citation statements)
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“…Electrical distance between buses, based on mutual admittance, is considered as a guide in partitioning a system into a SA and an EA. As contingencies do not result in considerable admittance changes in the EA, it is suggested in [15] that the statistical mean of the admittances to be used in the equivalent network.…”
Section: Further Examplesmentioning
confidence: 99%
See 1 more Smart Citation
“…Electrical distance between buses, based on mutual admittance, is considered as a guide in partitioning a system into a SA and an EA. As contingencies do not result in considerable admittance changes in the EA, it is suggested in [15] that the statistical mean of the admittances to be used in the equivalent network.…”
Section: Further Examplesmentioning
confidence: 99%
“…Shunt branches are not considered in the process of AC Ward equivalent extraction for the EA in [15]. Electrical distance between buses, based on mutual admittance, is considered as a guide in partitioning a system into a SA and an EA.…”
Section: Further Examplesmentioning
confidence: 99%
“…This usually makes component outages ignored in PPF [4]. Mahraby and Allan [25] and Audomovongseree and Eua‐Apron [26] have obtained means and probability density curves of the equivalent injected powers based on the traditional Ward model and Monte Carlo simulation method. The impact of renewable energy, loads and component outages on the equivalent network are considered.…”
Section: Introductionmentioning
confidence: 99%
“…A major difficulty in adequacy evaluation of large composite generation and transmission systems is the computation time required to perform the analysis [1]. This difficulty can be alleviated using an adequacy equivalent approach which is a practical and effective way to perform detailed or repeated analysis in a selected area of interest (AI) with reduced computation time [2,3].…”
Section: Introductionmentioning
confidence: 99%