Modified teaching-learning based optimization algorithm and damping of inter-area oscillations through VSC-HVDC

M. Ramirez, R. Castellanos, J. Calderón
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引用次数: 0

Abstract

A modified Teaching-Learning Based Optimization (MTLBO) Algorithm is proposed to reduce the computational time involved in the optimization process of the original TLBO technique. Proposed MTLBO is applied to the design of a power oscillation damping controller (PODC), inserted in one of the converters of a VSC-HVDC link, to modulate active power and contribute to enhancing the inter-area power oscillations of a two-area power system model. Performance comparison of MTLBO and TLBO algorithms during the optimization process is carried out and the effect of PODCs tuned with both of these techniques is evaluated and illustrated through the application and simulation of system perturbations in the sample power system. Simulation results show that MTLBO can achieve a very comparable performance to TLBO, but at a significantly reduced computational time.
改进的基于教与学的优化算法及VSC-HVDC区域间振荡的抑制
提出了一种改进的基于教学的优化算法(MTLBO),以减少原TLBO技术优化过程中的计算时间。将所提出的MTLBO应用于功率振荡阻尼控制器(PODC)的设计,该控制器插入到VSC-HVDC链路的其中一个变流器中,以调制有功功率并有助于增强两区电力系统模型的区域间功率振荡。对MTLBO和TLBO算法在优化过程中的性能进行了比较,并通过系统扰动在样本电力系统中的应用和仿真,评估和说明了用这两种技术调谐的PODCs的效果。仿真结果表明,MTLBO可以达到与TLBO相当的性能,但大大减少了计算时间。
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