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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >A new frequency control approach for isolated WT/FC/UC power system using improved fuzzy PSO & maximum power point tracking of the WT system
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A new frequency control approach for isolated WT/FC/UC power system using improved fuzzy PSO & maximum power point tracking of the WT system

机译：改进的模糊PSO和WT系统最大功率点跟踪的隔离WT / FC / UC电力系统频率控制新方法

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摘要

This paper makes uses of an intelligent framework based on improved fuzzy particle swarm optimization (IFPSO) algorithm to control the desired frequency of the power grid for stand-alone application. In this regard, a new schematic of an isolated hybrid energy system combining Wind Turbine (WT), Fuel Cell (FC) and Ultra Capacitor (UC) using nonlinear detailed models has been presented. In this system, the WT is used as the main power generation source. Fuel cell and Ultra Capacitor are introduced as a backup energy source and buffer storage to supply the load demand for all various operating conditions. In the proposed system, in order to use the grid's capability to its best, the second order sliding (SOSMC) mode strategy is employed to extract the maximum power from wind in the below the rated wind speed. In this part, to validate the performance and capabilities of the proposed MPPT strategy, a comparison with the classical ATF controller was performed using Matlab/Simulink. Moreover, to demonstrate the effectiveness of IFPSO algorithm, optimal droop frequency controller using IFPSO algorithm is compared with conventional and improved droop controllers. According to the simulation results, applying proposed method, the frequency deviation of the isolated power grid in dynamical state declines significantly.
机译：本文利用基于改进的模糊粒子群优化（IFPSO）算法的智能框架来控制独立应用程序所需的电网频率。在这方面，已提出了使用非线性详细模型将风轮机（WT），燃料电池（FC）和超级电容器（UC）组合在一起的隔离式混合能源系统的新示意图。在该系统中，WT被用作主要的发电源。引入燃料电池和超级电容器作为备用能源和缓冲存储器，以满足所有各种运行条件下的负载需求。在提出的系统中，为了最大程度地利用电网的功能，采用了二阶滑模（SOSMC）模式策略，以在额定风速以下时从风中提取最大功率。在这一部分中，为了验证所提出的MPPT策略的性能和功能，使用Matlab / Simulink与经典ATF控制器进行了比较。此外，为了证明IFPSO算法的有效性，将使用IFPSO算法的最佳下垂频率控制器与常规和改进的下垂控制器进行了比较。根据仿真结果，应用本文提出的方法，动态状态下隔离电网的频率偏差明显减小。

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