Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1448
Título: Hybrid fuzzy Monte Carlo technique for reliability assessment in transmission power systems
Autor: Canizes, Bruno
Soares, João
Vale, Zita
Khodr, H. M.
Palavras-chave: Failure probability reduction
Fuzzy model
Load curtailment
Monte Carlo simulation
Transmission power systems
Data: 2012
Editora: Elsevier
Relatório da Série N.º: Energy; Vol. 45, Issue 1
Resumo: This paper proposes a new methodology to reduce the probability of occurring states that cause load curtailment, while minimizing the involved costs to achieve that reduction. The methodology is supported by a hybrid method based on Fuzzy Set and Monte Carlo Simulation to catch both randomness and fuzziness of component outage parameters of transmission power system. The novelty of this research work consists in proposing two fundamentals approaches: 1) a global steady approach which deals with building the model of a faulted transmission power system aiming at minimizing the unavailability corresponding to each faulted component in transmission power system. This, results in the minimal global cost investment for the faulted components in a system states sample of the transmission network; 2) a dynamic iterative approach that checks individually the investment’s effect on the transmission network. A case study using the Reliability Test System (RTS) 1996 IEEE 24 Buses is presented to illustrate in detail the application of the proposed methodology.
URI: http://hdl.handle.net/10400.22/1448
ISSN: 0360-5442
Versão do Editor: http://www.sciencedirect.com/science/article/pii/S0360544212005002
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