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基于GO-DBN的SLCC直流输电系统可靠性评估

Reliability assessment of SLCC DC transmission system based on GO-DBN

  • 摘要: 多源自适应换相换流器(multi source adaptive statcom and line commutation converter,SLCC)能够显著减少换相失败的概率,基于SLCC的直流输电系统具有更高的输电效率和更好的稳定性,已进入实体工程建设,有必要对SLCC直流输电系统进行可靠性评估,为其安全投运和运维检修提供理论支撑和参考依据。针对SLCC直流输电系统,通过频率与持续时间法计算三相静止无功补偿及滤波器(static var & filter,SVF)等元件的可靠性参数,提出基于目标导向(goal oriented,GO)法的系统可靠性评估模型,并与动态贝叶斯网络(dynamic bayesian network,DBN)相结合,对SLCC直流输电系统进行可靠性评估计算。求解了系统能量可用率的时变曲线,验证了所提模型和方法对SLCC直流输电系统可靠性评估的可行性与有效性。

     

    Abstract: The multi-source adaptive multi source adaptive statcom and line commutation converter (SLCC) significantly reduces the probability of commutation failure. DC transmission systems based on SLCC offer higher transmission efficiency and improved stability, and have now progressed to physical engineering implementation. It is therefore essential to evaluate the reliability of SLCC-based DC transmission systems to provide theoretical support and reference for their safe operation and maintenance. In this study, reliability parameters of components such as the three-phase static reactive power compensation and static var & filter (SVF) are calculated using the frequency and duration method. A reliability evaluation model based on the (goal oriented, GO) method is proposed and integrated with dynamic bayesian network (DBN) to assess the reliability of the SLCC DC transmission system. The time-varying curve of system energy availability is derived, verifying the feasibility and effectiveness of the proposed model and method for reliability evaluation of SLCC DC transmission systems.

     

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