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Optimal power flow using Teaching-Learning-Based Optimization technique

机译:使用基于教与学的优化技术来优化潮流

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摘要

Teaching-Learning-Based Optimization is a rising star among metaheuristic techniques with highly competitive performances. This technique is based on the influence of a teacher on learners. In this paper, the Teaching-Learning-Based Optimization technique is used to solve the optimal power flow problem. In order to show the effectiveness of the proposed method, it has been applied to the standard IEEE 30-bus and IEEE 118-bus test systems for different objectives that reflect the performances of the power system. Furthermore, the obtained results using the proposed technique have been compared to those obtained using other techniques reported in the literature. The obtained results and the comparison with other techniques indicate that the Teaching-Learning-Based Optimization technique provides effective and robust high-quality solution when solving the optimal power flow problem with different complexities.
机译:基于教学的优化是具有启发性的元启发式技术中的后起之秀。该技术基于教师对学习者的影响。在本文中,基于教学学习的优化技术用于解决最优潮流问题。为了证明所提出方法的有效性,已将其应用于标准IEEE 30总线和IEEE 118总线测试系统,以反映反映电力系统性能的不同目标。此外,使用提议的技术获得的结果已经与使用文献中报道的其他技术获得的结果进行了比较。获得的结果以及与其他技术的比较表明,基于教学学习的优化技术在解决具有不同复杂性的最优潮流问题时提供了有效而强大的高质量解决方案。

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