Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1422
Título: Fuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systems
Autor: Canizes, Bruno
Vale, Zita
Soares, João
Khodr, H. M.
Palavras-chave: Fuzzy model
Load curtailment
Monte Carlo simulation
Reliability
Transmission power systems
Data: 2011
Editora: Curran Associates, Inc.
Resumo: This paper presents a methodology which is based on statistical failure and repair data of the transmission power system components and uses fuzzyprobabilistic modeling for system component outage parameters. Using statistical records allows developing the fuzzy membership functions of system component outage parameters. The proposed hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. A network contingency analysis to identify any overloading or voltage violation in the network is performed once obtained the system states by Monte Carlo simulation. This is followed by a remedial action algorithm, based on optimal power flow, to reschedule generations and alleviate constraint violations and, at the same time, to avoid any load curtailment, if possible, or, otherwise, to minimize the total load curtailment, for the states identified by the contingency analysis. In order to illustrate the application of the proposed methodology to a practical case, the paper will include a case study for the Reliability Test System (RTS) 1996 IEEE 24 BUS.
URI: http://hdl.handle.net/10400.22/1422
ISBN: 9781618392275
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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