Well-Being Analysis Applied to the Study of Composite Systems Flexibility Considering Wind Energy Sources
This paper presents a methodology to evaluate, via well-being analysis, the flexibility of composite electrical systems, considering wind energy sources. By adding wind farms to different system bars, it is possible to assess which configuration provides the best adequacy and safety level for the sy...
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Veröffentlicht in: | Revista IEEE América Latina 2021-10, Vol.19 (10), p.1640-1647 |
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description | This paper presents a methodology to evaluate, via well-being analysis, the flexibility of composite electrical systems, considering wind energy sources. By adding wind farms to different system bars, it is possible to assess which configuration provides the best adequacy and safety level for the system. The evaluation is based on probabilistic indices of Loss of Load Expectation (LOLE) and Expected Marginal State (EMS). Such indices are obtained by well-being analysis, combining deterministic criteria with probabilistic methods. Non-Sequential Monte Carlo Simulation is used to consider the probabilistic and intermittent characteristics of wind sources. The methodology is applied to the IEEE-RTS test system. |
doi_str_mv | 10.1109/TLA.2021.9477226 |
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subjects | composite reliability IEEE transactions Interconnected systems Load modeling Media Monte Carlo methods Probabilistic logic transmission system flexibility well-being analysis Wind energy wind sources |
title | Well-Being Analysis Applied to the Study of Composite Systems Flexibility Considering Wind Energy Sources |
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