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Transient tolerance analysis of power cables thermal dynamic by interval mathematic

机译:基于区间数学的电力电缆热动态暂态公差分析。

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摘要

The safeguard of power equipments is assuming a major role in the deregulated electricity market, where a malfunctioning power system could be responsible for serious damages to a large number of system operators having access to the shared energy resource. In this context thermal monitoring of power cables represents a key issue in evaluating the risks associated with a given load management policy especially during emergency conditions. In particular this demands for reliable assessment models that should be able to predict the transient thermal behaviour when the load exceeds the nameplate value. In this connection the application of both simplified and detailed power cable thermal models is often complicated by the presence of uncertainties affecting the tolerances of the input data. The effect of these uncertainties could influence the final solution to a considerable extent. A comprehensive tolerance analysis is therefore required in order to incorporate the effect of data uncertainties into the thermal modelling process. To address this problem, in the paper the employment of interval mathematic is proposed. Several numerical results are presented and discussed in order to assess the effectiveness of the proposed methodology which offer a rough qualitative insight of the solution in a very short time, comparable to the time required for a deterministic numerical simulation.
机译:电力设备的安全保障在放松管制的电力市场中扮演着重要角色,在电力市场失灵的电力系统可能会对大量使用共享能源的系统运营商造成严重损害。在这种情况下,电力电缆的热监控是评估与给定负载管理策略相关的风险的关键问题,尤其是在紧急情况下。特别是,这需要可靠的评估模型,当负载超过铭牌值时,该模型应该能够预测瞬态热行为。在这方面,简化和详细的电力电缆热模型的应用通常由于存在影响输入数据容差的不确定性而变得复杂。这些不确定性的影响可能会在很大程度上影响最终解决方案。因此,需要进行全面的公差分析,以将数据不确定性的影响纳入热建模过程。为了解决这个问题,本文提出了区间数学的运用。提出并讨论了几个数值结果,以评估所提出方法的有效性,该方法可在很短的时间内(与确定性数值模拟所需的时间相比)提供对解决方案的大致定性见解。

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