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Risk assessment-based long-term transmission system hardening under prior probabilistic information

机译:在先验概率信息下基于风险评估的长期传输系统强化

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摘要

In the long-term transmission system hardening, critical components in transmission infrastructure should be identified and hardened to reduce the load loss risk in the presence of scheduled and unscheduled outages. Generally, the probabilistic information of assets in power systems can be evaluated via historical statistics. On the basis of the prior probabilistic information, this study proposed a tri-level optimisation model to deal with the problem of long-term transmission system hardening, in which the risk assessment is taken into account in the objective function. Furthermore, the problem is formulated as a two-stage robust optimisation model. To address the non-linear problem in the inner model, logarithmic transformation and piecewise linearisation are utilised to exactly linearise the non-linear terms in the model. Finally, the standard column-and-constraints generation algorithm is employed to solve the proposed model with a master-sub-problem framework. The test results on a standard IEEE RTS-96 system show the effectiveness of the proposed model.
机译:在长期传输系统加固中,应确定并加固传输基础架构中的关键组件,以减少计划内和计划外停机时的负载损失风险。通常,可以通过历史统计数据来评估电力系统中资产的概率信息。基于先前的概率信息,本研究提出了一种三级优化模型来解决长期传输系统硬化的问题,其中在目标函数中考虑了风险评估。此外,该问题被表述为两阶段鲁棒优化模型。为了解决内部模型中的非线性问题,对数变换和分段线性化用于精确线性化模型中的非线性项。最后,采用标准的列和约束生成算法来解决带有主子问题框架的模型。在标准IEEE RTS-96系统上的测试结果表明了该模型的有效性。

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