Power System Contingency Analysis Using Improved Computational Techniques

Prahlad Mundotiya, Ankush Koli, Subhash Shrimal, Ch . Naga, Vikash Kumar Sharma, H. Tiwari
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Abstract

Transmission cables face significant challenges in today’s deregulated market due to load demand and the need to operate profitably. The utilization depends heavily on different outage situations. Line outages are graded according to their severity using Performance Index. The design of power systems makes them particularly prone to malfunction. Although it is challenging to forecast an unplanned power outage, it is essential to analyze potential failures and foresee their effects. The security of the electrical system can be assessed with the help of contingency analysis. To forecast the characteristics of the power system after any number of outages, single or multiple models are used. The major objective of this study is to identify critical double-line failures that, if they occurred, would lead to line flow violations in the power system. N2 contingency analysis is used to describe this. It takes a very long time to complete a thorough analysis of all conceivable N2 outcomes. An AC or DC power flow can be utilized to find significant double line outages without looking at all N2 possibilities. These results are contrasted with the entire AC power flow statistics. These methods can find many double-line outages that lead to line flow violations.
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基于改进计算技术的电力系统应急分析
由于负载需求和盈利的需要,输电电缆在当今放松管制的市场中面临着重大挑战。利用率在很大程度上取决于不同的停机情况。使用性能指数对线路中断的严重程度进行分级。电力系统的设计使它们特别容易发生故障。尽管预测计划外停电具有挑战性,但分析潜在故障并预测其影响至关重要。通过应急分析,可以对电力系统的安全性进行评估。为了预测任意次数的停电后电力系统的特性,可以使用单个或多个模型。本研究的主要目的是确定关键的双线故障,如果它们发生,将导致电力系统中的线流违规。用N2权变分析来描述。完成对所有可能的N2结果的彻底分析需要很长时间。交流或直流潮流可以用来发现重大的双线停电,而无需查看所有N2可能性。这些结果与整个交流潮流统计数据进行了对比。这些方法可以发现许多导致线流违规的双线中断。
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