In this paper, we present a new fruit fly optimization algorithm with the adaptive step for solving unconstrained optimization problems, which is able to avoid the slow convergence and the tendency to fall into local ...In this paper, we present a new fruit fly optimization algorithm with the adaptive step for solving unconstrained optimization problems, which is able to avoid the slow convergence and the tendency to fall into local optimum of the standard fruit fly optimization algorithm. By using the information of the iteration number and the maximum iteration number, the proposed algorithm uses the floor function to ensure that the fruit fly swarms adopt the large step search during the olfactory search stage which improves the search speed;in the visual search stage, the small step is used to effectively avoid local optimum. Finally, using commonly used benchmark testing functions, the proposed algorithm is compared with the standard fruit fly optimization algorithm with some fixed steps. The simulation experiment results show that the proposed algorithm can quickly approach the optimal solution in the olfactory search stage and accurately search in the visual search stage, demonstrating more effective performance.展开更多
最大功率点跟踪(maximum power point tracking,MPPT)已用于实际变速恒频风电系统中,为更好开展此项技术的研究,对当前的最大功率点跟踪技术进行了总结,并分为以下3类:1)已知给定法;2)黑箱法;3)混合控制法。以带齿轮箱35 kW背靠背变换...最大功率点跟踪(maximum power point tracking,MPPT)已用于实际变速恒频风电系统中,为更好开展此项技术的研究,对当前的最大功率点跟踪技术进行了总结,并分为以下3类:1)已知给定法;2)黑箱法;3)混合控制法。以带齿轮箱35 kW背靠背变换器的鼠笼异步式风力发电并网系统为基础,在Matlab/Simulink仿真环境中,针对已知给定法、黑箱法、混合控制法,各选取了每一类方法的典型代表进行了仿真验证。仿真结果表明,针对这3类方法所适用的功率场合不同,在跟踪最大功率的快速性上存在着差异,需要根据风机特性及从实际运用角度出发来选取不同的方法。展开更多
文摘In this paper, we present a new fruit fly optimization algorithm with the adaptive step for solving unconstrained optimization problems, which is able to avoid the slow convergence and the tendency to fall into local optimum of the standard fruit fly optimization algorithm. By using the information of the iteration number and the maximum iteration number, the proposed algorithm uses the floor function to ensure that the fruit fly swarms adopt the large step search during the olfactory search stage which improves the search speed;in the visual search stage, the small step is used to effectively avoid local optimum. Finally, using commonly used benchmark testing functions, the proposed algorithm is compared with the standard fruit fly optimization algorithm with some fixed steps. The simulation experiment results show that the proposed algorithm can quickly approach the optimal solution in the olfactory search stage and accurately search in the visual search stage, demonstrating more effective performance.
文摘最大功率点跟踪(maximum power point tracking,MPPT)已用于实际变速恒频风电系统中,为更好开展此项技术的研究,对当前的最大功率点跟踪技术进行了总结,并分为以下3类:1)已知给定法;2)黑箱法;3)混合控制法。以带齿轮箱35 kW背靠背变换器的鼠笼异步式风力发电并网系统为基础,在Matlab/Simulink仿真环境中,针对已知给定法、黑箱法、混合控制法,各选取了每一类方法的典型代表进行了仿真验证。仿真结果表明,针对这3类方法所适用的功率场合不同,在跟踪最大功率的快速性上存在着差异,需要根据风机特性及从实际运用角度出发来选取不同的方法。
