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Sensitivity Analysis of Island Micro-Grid Based on Probabilistic Load Flow Model

机译:基于概率载荷模型的岛微电网敏感性分析

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In the global energy crisis and environmental pollution problems, vigorous development of clean energy is a common initiative of all countries in the world. As an important means of new energy consumption and reliability improvement of power supply, micro-grid has a very broad development prospect. In order to overcome the problem of low efficiency of traditional MCS calculation, an micro-grid GSA method based on sparse polynomial chaotic expansion in the paper is proposed, which is used to accurately and quickly identify key input random variables that affect the operating state of the system. Furthermore, the accuracy and efficiency of the proposed method are verified by the example analysis of the island micro-grid.
机译:在全球能源危机和环境污染问题中,清洁能源的蓬勃发展是世界各国的共同倡议。作为新能源消耗和可靠性提高电源的重要手段,微电网具有很广阔的发展前景。为了克服传统MCS计算的低效率的问题,提出了一种基于纸张中稀疏多项式混沌扩展的微电网GSA方法,用于准确且快速地识别影响操作状态的关键输入随机变量系统。此外,通过岛微电网的示例分析验证了所提出的方法的准确性和效率。

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