Contingency screening for steady state security analysis by using genetic algorithms

A. Ozdemir, J.Y. Lim, C. Singh
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引用次数: 9

Abstract

This paper presents genetic algorithm based post-outage voltage calculations and screening for transmission line and transformer outages. Deficiencies of the traditional sensitivity based (linear) methods are overcome by formulation of a line outage as nonlinear constrained optimization problem for a bounded network. The proposed optimization problem is later solved for bounded network variables by genetic algorithms. The accuracy of the method is tested on the IEEE 57-bus test systems. The results are compared with those obtained by a full load flow to verify the strength of the paper.
基于遗传算法的稳态安全分析应急筛选
本文提出了基于遗传算法的输电线路和变压器停电后电压计算和筛选方法。将线路中断问题表述为有界网络的非线性约束优化问题,克服了传统基于灵敏度(线性)方法的不足。该优化问题随后用遗传算法求解有界网络变量。在IEEE 57总线测试系统上测试了该方法的准确性。将试验结果与满载流试验结果进行了比较,验证了该材料的强度。
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