Well-Being Analysis Applied to the Study of Composite Systems Flexibility Considering Wind Energy Sources

• Published in: Revista IEEE América Latina Vol. 19; no. 10; pp. 1640 - 1647
• Main Authors: Chaves de Resende, Leonidas, Facion do Nascimento, Rafael, De Sousa Sales, Warlley, Aparecido de Assis, Fernando, Carlos do Nascimento, Luiz
• Format: Journal Article
• Language: English
• Published: IEEE 01.10.2021
• 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
• DOI: 10.1109/TLA.2021.9477226
• ISSN: 1548-0992

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.