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Reliability of power systems with climate change impacts on hierarchical levels of PV systems

机译:气候变化电力系统的可靠性对光伏系统的分层级别的影响

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摘要

The accelerating rate of climate changeis likely to impact the performance of photovoltaic (PV) power generating systemsover the long run. This paper proposes along-termreliability assessment approach for PV integrated power systems considering the climate change effects on hierarchical level of PV systems. Hierarchical levels in the PV systems were formed considering components in a PV system, subsystems in a PV system, whole PV system, and the power grid level. The paper also suggests a way of mitigating the impact of climate change on PV systems through proactive design and the application of maintenance strategies for averting progressive component failure initiated by the effects of climate change. The approach takes into account different climatic factors including temperature, solar irradiation and wind speed as well as performanceaffecting factors including thermal stress, aging and degradation due to internal faultswithin the reliability evaluation framework. The approach drives through Monte Carlo simulation and Markov chain. The ability of identifying the critical components and subsystems in a PV system that lead to climate associated failures is one of the key benefits of the approach. Two established climate modelsare incorporated to generate climate change factors for the years 2020, 2050 and 2080. A set of case studies were conducted, and the results suggest that the reliability performance decreases considerably with theeffects of climate change.These effects are inconsistent over time when aging is taken into consideration.
机译:气候变化的加速率可能影响光伏(PV)发电系统长期的性能。本文提出了考虑气候变化对光伏系统等级水平的气候变化影响的光伏综合电力系统的永久性评估方法。考虑PV系统,PV系统,整个PV系统和电网等级中的子系统中的组件形成了PV系统中的分层级。本文还建议通过主动设计和应用维护策略来缓解气候变化对光伏系统影响的一种方法,以避免气候变化影响的逐步成分衰竭。该方法考虑了不同气候因子,包括温度,太阳照射和风速以及由于内部断路器而导致的热应力,老化和降解,包括可靠性评估框架的热应力,老化和降解。该方法通过Monte Carlo仿真和马尔可夫链驱动。识别导致气候相关失败的PV系统中的关键组件和子系统的能力是该方法的主要好处之一。两种建立的气候模型,目的是在2020,2050和2080年产生气候变化因素。进行了一组案例研究,结果表明可靠性性能随着气候变化的影响而显着降低。这些效果随着时间的推移不一致考虑老龄化。

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