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Application of a new fast analytical approach for post-contingency state estimation of “N-1” transmission line outage in online vulnerability assessment of large-scale transmission networks with wind power resources
International Journal of Electrical Power & Energy Systems ( IF 5.2 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.ijepes.2020.106304
Saber Armaghani , Ali Hesami Naghshbandy , S. Mohammad Shahratash

Abstract In this paper, a new analytical method is presented for calculation of the “N-1″ transmission line outage post-contingency states of the power system, without any needs to iterate the calculation process, which makes the method fast enough for online vulnerability assessment under N-1 Transmission line outages for large-scale transmission networks with wind power resources. The proposed method is based on the proposed pretending line outage principle and a pre-contingency Taylor Series Approximation. Moreover, an adaptive technique is proposed for selection of the number of critical lines. First, various test systems including IEEE 9-, 39-, 57-, 118-, 300-, and 2746-bus are used for investigation of the performance of the proposed method in terms of accuracy and computational time. Moreover, the ability of the proposed method in solving the Online Vulnerability Assessment under the uncertainty of the operating condition, caused by wind power resources and load demand forecast error, is investigated in IEEE 118-bus and IEEE 300-bus test systems. Finally, the simulation results are presented to verify that the proposed approach has sufficient speed and accuracy to be used in online operational vulnerability assessments.

中文翻译:

“N-1”输电线路断电事故后状态估计新快速分析方法在大型风电资源输电网络在线脆弱性评估中​​的应用

摘要 本文提出了一种计算电力系统“N-1”输电线路停电后应急状态的新分析方法,无需对计算过程进行迭代,使得该方法对于在线脆弱性的计算速度足够快。具有风电资源的大型输电网络在N-1输电线路中断情况下的评估。所提出的方法基于所提出的假装线路中断原理和预应急泰勒级数近似。此外,提出了一种自适应技术来选择临界线的数量。首先,包括 IEEE 9-、39-、57-、118-、300- 和 2746-bus 在内的各种测试系统用于研究所提出方法在准确性和计算时间方面的性能。而且,在 IEEE 118 总线和 IEEE 300 总线测试系统中研究了所提出的方法在由风力资源和负载需求预测误差引起的运行条件不确定性下解决在线脆弱性评估的能力。最后,给出了仿真结果以验证所提出的方法具有足够的速度和准确性,可用于在线操作漏洞评估。
更新日期:2020-12-01
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