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Residential storage to improve system resilience: Technical design and cost estimation

机译:住宅寄存器提高系统弹性:技术设计和成本估算

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Facing exceptional events (storms in the USA, the great earthquake in East Japan...), several countries have launched efforts to improve the resilience of the electrical system, ie its ability to limit outages in case of these incidents. We clarify what improving resilience means, and show how it differs from reliability. We study how technically and economically, distributed storage could improve the electric system resilience. We explain how a distributed storage device could contribute to resilience in case of exceptional events: in an emergency operation, it could feed a local grid, possibly carbon-free, which would then feed the priority uses of residential customers. The study does not address the economic profitability of improving the resilience of an electrical system. But knowing how storage could improve the resilience, we study the costs of such a solution and propose a first quantification of these costs. To do that, we characterize the typical client and define the emergency local grid (for instance, a building of 100 residential clients); then we choose and quantify priority uses, with reference to international experience. The priority needs are estimated both in power and energy, in mean value and in standard deviation. We review the different types of exceptional incidents, their consequences in outage duration and if the exceptional event is partially predictable. In the important case of a storm, we can estimate the cost of the solution of resilience by distributed storage. First, if the solution is devoted to improve resilience: 128 ?/year/customer in a typical case. Secondly, the approach considers that the cost of storage can be partially compensated for if storage contributes to other services in normal situation. Then, at least marginally, the cost could be reduced by 52%.
机译:面对特殊事件(美国的风暴,东日本的大地震......),几个国家已经推出了改善电气系统的恢复力,即限制这些事件中停滞的能力。我们澄清了改进的恢复力意味着什么,并展示它与可靠性的不同。我们研究技术上和经济,分布式存储如何改善电力系统弹性。我们解释了分布式存储设备如何在特殊事件的情况下为恢复性有助于恢复性:在紧急操作中,它可以馈送本地网格,可能是无碳的,然后喂养住宅客户的优先使用。该研究并未解决改善电气系统恢复性的经济盈利能力。但是,知道如何存储可以提高弹性,我们研究这种解决方案的成本,并提出了这些成本的第一次量化。要做到这一点,我们的特征是典型的客户端,并定义紧急本地网格(例如,100个住宅客户的建筑物);然后我们选择和量化优先权,参考国际经验。优先级需要估计功率和能量,平均值和标准偏差。我们审查了不同类型的特殊事件,其在中断持续时间内的后果以及卓越事件部分可预测。在一个暴风雨的重要情况下,我们可以通过分布式存储来估算弹性解决方案的成本。首先,如果解决方案致力于改善弹性:128?/年/客户在典型的情况下。其次,该方法认为,如果储存在正常情况下有助于其他服务,则可以部分地补偿存储费用。然后,至少略微略微,成本可能降低52%。

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