基于Firework算法的交直流混合微电网虚拟惯量研究

Qingsong Zhao, Jianyuan Xu, Wende Wang, Feng Sun
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引用次数: 0

摘要

本文提出了一种改进的烟花算法,对能量分布、渗透率高的交直流混合微电网进行了有效的虚拟惯性配置,解决了混合微电网虚拟惯性资源的高效利用问题。首先,推导并建立了混合微电网的虚拟惯性配置评估模型。另外,为了降低惯性构型优化的难度,本文将惯性构型优化问题由非凸型转化为凸型。再次,主要对烟花算法的粒子选择方法进行优化,引入矢量优化域,定向选择最优域中的粒子。最后,与传统烟花算法相比,改进烟花算法的仿真结果具有更强的寻找优化区域的能力和更精确的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Virtual Inertia of AC/DC Hybrid Microgrids Based on the Firework Algorithm
This paper presents an improved firework algorithm to efficiently conFigure the virtual inertia for AC/DC hybrid microgrids with distributed energy and high penetration, which can solve the problem of efficient utilization of virtual inertia resources in hybrid microgrid. Firstly, the virtual inertia configuration evaluation model of hybrid microgrids is derived and established. Additionally, to reduce the difficulty of inertia optimization configuration, this paper converts the inertia configuration optimization problem from non-convex to convex optimization. Thirdly, this paper mainly optimizes the particle selection method of the firework algorithm, and introduces the vector optimization domain to directionally select the particles in the optimal domain. Finally, compared with the traditional firework algorithm, the simulation results of the improved firework algorithm has stronger ability to find optimized areas and more accurate performances.
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