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Load Flow Analysis of Uncertain Power System Through Affine Arithmetic

机译:仿射算法负载不确定电力系统的流量分析

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On this paper a novel load flow analysis using complex affine arithmetic (AA) based on Gauss-Seidel method for uncertain system is proposed. The Gauss-Seidel algorithm is used to find the uncertainty in each bus, which is the partial deviation value of the buses. The proposed algorithm is applied on an IEEE-14, 30 and 57 bus test systems. For comparison purpose a probabilistic load flow analysis based on Monte Carlo method is used. The proposed method is tested for different uncertainty level and in all the test cases AA based method is faster in convergence and gives slightly conservative bound than the probabilistic Monte Carlo approach.
机译:在本文上,提出了一种基于Gauss-Seidel方法的复杂仿射算术(AA)的新型负荷流量分析。 Gauss-Seidel算法用于在每个总线中找到不确定性,这是总线的部分偏差值。所提出的算法应用于IEEE-14,30和57总线测试系统。为了比较目的,使用了基于蒙特卡罗方法的概率负荷流量分析。该方法进行了不同的不确定性水平,并且在所有测试情况下,基于测试的方法在收敛时更快,并且略微保守界限而不是概率蒙特卡罗方法。

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