基于模型树的电力系统负荷裕度估计

N. P. Patidar, J. Sharma
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引用次数: 6

摘要

提出了一种单线停电变负荷条件下电力系统负荷裕度估计的模型树方法。最大负荷裕度作为电压安全评估的指标。在本文中,模型树用连续值来估计负荷边际。利用连续潮流的计算机模拟生成MT的学习状态,在计算负荷裕度时考虑无功发电的限制。一旦建立了模型树,它就获得了知识,在此基础上,它可以在期望的精度范围内有效地估计事故后的最大负荷裕度。该方法的计算速度非常快(超快),因此更适合于实时应用。在IEEE 30总线测试系统上,使用未知的测试模式对该方法的有效性进行了测试
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Loadability margin estimation of power system using model trees
This paper presents a model tree (MT) method for estimation of loadability margins of power system under single line outage contingency and varying loading conditions. Maximum loadability margin is used as an index for voltage security assessment. In this paper model trees estimate the loadability margins in terms of continuous values. Learning states for MT are generated by computer simulation using continuation power flow and limits on reactive generation are considered while calculating loadability margins. Once the model tree is built it acquires the knowledge on the basis of which it estimates post-contingent maximum loadability margins efficiently and within the desired accuracy. The computation speed of this method is very high (ultra-fast), hence it can be more useful for real time applications. The effectiveness of this approach is tested on IEEE 30-bus test system, using unknown test patterns
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