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A Critical Line Identification Method Based on Probabilistic Load Flow

机译:基于概率潮流的临界线辨识方法

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It is an important part for the power system operation risk control to identify the critical lines. Fluctuation of wind power and fluctuation of load will have a great influence on power transmission and distribution, which will lead to the change of critical lines. Based on probabilistic load flow (PLF) analysis, the risk theory is introduced to put forward, and probabilistic flow betweenness considering uncertainty of wind power and load is presented for critical line identification, which reflects the influence of power grid structure characteristics, change of system running state and uncertain factors on power transmission. It can identify critical lines more accurately. Simulation calculation on CEPRI-36 bus system integrated with wind farms and IEEE-39 bus system with wind farms verify effectiveness of this method. It is able to search for the critical lines according to system running state in actual application, so as to adopt security control measures for the system.
机译:识别关键线是电力系统运行风险控制的重要组成部分。风电的波动和负荷的波动将对输配电产生很大的影响,从而导致临界线的变化。在概率潮流(PLF)分析的基础上,提出了风险理论,提出了考虑风电和负荷不确定性的概率潮流之间的临界线辨识,反映了电网结构特性,系统变化的影响。运行状态和动力传输的不确定因素。它可以更准确地识别关键线。在风电场集成的CEPRI-36总线系统和风电场的IEEE-39总线系统上的仿真计算验证了该方法的有效性。能够在实际应用中根据系统运行状态搜索关键线,从而为系统采取安全控制措施。

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