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考虑时变因素的高速公路新能源微网可靠性评估

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在"碳中和"和"碳达峰"背景下,高速公路新能源微网逐渐步入大众视野,对该系统可靠性进行评估是开展其可靠性设计的必要前提,对于保障微网安全稳定运行也具有重要意义.首先,对系统中元件进行可靠性建模,基于热损得到换流器的实时故障率模型从而对分布式电源元件的故障概率进行修正,再对系统引入气象因子来量化气象条件的影响,从而得到整体的时变故障概率;其次,根据系统中可再生能源高分散度的特点采用馈线分区的方法对系统可靠性建模进行简化,也便于进行孤岛划分;然后,在时变故障概率的基础上采用时序蒙特卡洛法构建系统可靠性评估模型,并根据时变负荷用能特性引入负荷削减策略,通过仿真分析得到系统的三种可靠性指标,并为识别高速公路新能源微网的薄弱环节提供依据,从而有效提升运维效率与水平.
Reliability Evaluation of Expressway Energy Self-reliance System Considering Time-varying Factors
In the context of"carbon neutrality"and"peak carbon dioxide emissions",the highway energy self-reli-ance system is gradually coming into the public's view,and the reliability assessment of this system is a necessary prerequisite for its reliability design,which is also important to ensure the safe and stable operation of the grid.Firstly,the component reliability modeling was carried out and the real-time failure rate model of the converter was obtained by the heat loss of the power supply element to correct the failure probability of the distributed generation.And then,me-teorological factors were introduced to other components to describe the impact of meteorological conditions and life cy-cle,so as to obtain the time-varying failure rate.Secondly,the feeder partitioning method was used to simplify the sys-tem reliability modeling based on the high dispersion of renewable energy in the system,which also facilitated the delin-eation of islands.Finally,the sequential Monte Carlo was used to build the system reliability evaluation model,and the load reduction strategy was introduced.The reliability index of the system was obtained through simulation analysis.The calculation results can provide a basis for identifying the weaknesses of the system and effectively improve the effi-ciency and level of operation and maintenance.

expressway energy self-reliance systemtime-varying failure rateSequential Monte Carloreliability as-sessment

安孟林、肖仕武、刘博昊

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华北电力大学电气与电子工程学院,北京 102206

高速公路新能源微网 时变故障率 时序蒙特卡洛 可靠性评估

国家重点研发计划项目

2021YFB1600200

2024

华北电力大学学报(自然科学版)
华北电力大学

华北电力大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.868
ISSN:1007-2691
年,卷(期):2024.51(1)
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