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Coordinated Optimization of Multi-Machine PSS Based on Improved Gravitational Search Algorithm

机译:基于改进引力搜索算法的多机PSS协调优化

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Optimized damping ratio of power system can effectively suppress the system low frequency oscillation. An improved gravity search algorithm is proposed for coordination and optimization the parameters of the power system stabilizer based on the standard gravity search algorithm. This algorithm introduces the black hole concept and devour operation to increase the search speed and convergence accuracy of the algorithm, balance the global search ability and local exploitation ability of the optimization algorithm, and improve its overall optimization performance. In addition, the eigenvalue and mechanical and electrical oscillating mode characteristics working on various operating conditions of the system are optimized as objective functions to ensure the adaptability and robustness of the coordinated optimization strategy. Finally, the suggested method is executed on the classical WSCC three-generator nine-bus system for confirming its efficacy. The results show that the damping characteristics of the power system have been optimized and power system low frequency oscillation has been effectively suppressed.
机译:优化电力系统阻尼比可以有效抑制系统低频振荡。在标准重力搜索算法的基础上,提出了一种改进的重力搜索算法,用于协调和优化电力系统稳定器的参数。该算法引入黑洞概念和吞噬操作,提高了算法的搜索速度和收敛精度,平衡了优化算法的全局搜索能力和局部开发能力,提高了算法的整体优化性能。此外,为了保证协调优化策略的适应性和鲁棒性,对系统在各种工况下的特征值和机电振荡模式特性进行了优化。最后,将该方法应用于经典的WSCC三机九节点系统,验证了其有效性。结果表明,优化了电力系统的阻尼特性,有效地抑制了电力系统的低频振荡。

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