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Simulation of operational reliability of thermal power plants during a power crisis: Are we underestimating power shortage risk?

机译:电力危机期间火力发电厂运行可靠性的仿真:我们是否低估了电力短缺的风险?

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The unscheduled outage of thermal power plants following the Great East Japan Earthquake in 2011 greatly degraded the reliability of the power supply. As thermal power plants were a major part of the supply capacity after the disaster, especially under peak load conditions, consumers located both within and outside the severely damaged area had to reduce power usage to meet power consumption targets and avoid major blackouts. Therefore, experts and decision makers should use the records available from such accidents to determine appropriate margins of supply capacity and demand constraint policy during a crisis. Here, we constructed a probability model describing the likelihood of accident occurrence for thermal power plants based on the actual accident and recovery data obtained after the Great East Japan Earthquake. The lognormal and Weibull hazard models fit the observed data well, where the accidents tended to occur for many times at the same power generation unit under heavy-duty conditions. We then applied the developed probability model to Japanese thermal power plants in a bootstrap framework to understand the potential risk of power shortages during such events and to derive policy implications.
机译:2011年东日本大地震后,火电厂的计划外停机大大降低了电源的可靠性。由于火力发电厂是灾后供电能力的主要部分,特别是在高峰负荷条件下,位于严重受损地区内外的用户必须减少用电量,以达到用电量目标并避免重大停电。因此,专家和决策者应使用此类事故中的可用记录来确定危机期间的适当供应能力裕度和需求约束政策。在此,我们根据东日本大地震后获得的实际事故和恢复数据,构建了描述火电厂事故发生可能性的概率模型。对数正态和威布尔风险模型很好地拟合了观察到的数据,在重载条件下,同一发电机组中的事故往往发生多次。然后,我们在引导框架中将开发的概率模型应用于日本火力发电厂,以了解此类事件期间电力短缺的潜在风险并得出政策含义。

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