Reliability Evaluation of Offshore Wind Farm and VSC-HVDC Integrated System Considering the Influence of Extreme Weather

Lingfei LI , Yue SUN , Ying HUANG , Bo HU , Ting HOU , Wei HUANG , Long GUO , Yinzhe HU , Yuke JI , Kaigui XIE

›› 2020, Vol. 14 ›› Issue (12) : 32 -42.

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›› 2020, Vol. 14 ›› Issue (12) : 32 -42. DOI: 10.13648/j.cnki.issn1674-0629.2020.12.005
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Reliability Evaluation of Offshore Wind Farm and VSC-HVDC Integrated System Considering the Influence of Extreme Weather

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Abstract

The reliability model of VSC-HVDC system combined with offshore wind farm is established by using the sequential Monte Carlo method, considering the correlation between the wind speed of offshore wind farm and VSC-HVDC component failure. Firstly, the time-varying model of component reliability parameters considering extreme weather is proposed. Based on this, the continuous Markov chain Monte Carlo method is used to simulate the wind speed, and Copula is used to represent the correlation between the wind speeds to modify the reliability parameters of components. Secondly, according to the characteristics of numerous components and various failure modes of offshore wind farm and VSC-HVDC connected system, the wind farm and the system are divided into several subsystems, and reliability evaluation models for each subsystem are established respectively. Finally, all models are combined to establish the reliability evaluation model of the whole offshore wind farm and VSC-HVDC connected system is established. An example system consisting of two offshore wind farms and one three terminal VSC-HVDC system is analyzed, and the accurate and effectiveness of the proposed model and method are proved.

Keywords

extreme weather / correlation / reliability evaluation / offshore wind farm and VSC-HVDC combined system

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Lingfei LI,Yue SUN,Ying HUANG,Bo HU,Ting HOU,Wei HUANG,Long GUO,Yinzhe HU,Yuke JI,Kaigui XIE. Reliability Evaluation of Offshore Wind Farm and VSC-HVDC Integrated System Considering the Influence of Extreme Weather. 2020, 14(12): 32-42 DOI:10.13648/j.cnki.issn1674-0629.2020.12.005

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Guangdong Key Area Research & Development Plan Project(2019B111109001)

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