Zhu Rui, Zhao An-Lei, Wang Guang-Chao, Xia Xin, Yang Yaopan
College of Energy and Mechanical Engineering, Shanghai University of Electric Power, 2103 Pingliang Road, Yangpu District, Shanghai, China.
Comput Intell Neurosci. 2020 Aug 28;2020:8887227. doi: 10.1155/2020/8887227. eCollection 2020.
This study introduces a supercapacitor hybrid energy storage system in a wind-solar hybrid power generation system, which can remarkably increase the energy storage capacity and output power of the system. In the specific solution, this study combines the distributed power generation system and the hybrid energy storage system, while using the static reactive power compensation system and the conductance-fuzzy dual-mode control method to increase output power in stages. At the same time, the optimal configuration model of the wind-solar hybrid power generation system is established using MATLAB/Simulink software. The output power of the microgrid to the wind-photovoltaic hybrid power generation system is calculated by simulation, and the optimization process of each component of the system is simulated. This study mainly uses the static reactive power compensation system and the conductance-fuzzy dual-mode control method to optimize the wind-solar hybrid power generation system. Using MATLAB software simulation verifies the feasibility and rationality of the optimal configuration of the system.
本研究在风光互补发电系统中引入了一种超级电容器混合储能系统,该系统可显著提高系统的储能容量和输出功率。在具体解决方案中,本研究将分布式发电系统与混合储能系统相结合,同时采用静止无功补偿系统和电导-模糊双模控制方法来分阶段提高输出功率。同时,利用MATLAB/Simulink软件建立了风光互补发电系统的优化配置模型。通过仿真计算了微电网对风光混合发电系统的输出功率,并对系统各组件的优化过程进行了仿真。本研究主要采用静止无功补偿系统和电导-模糊双模控制方法对风光互补发电系统进行优化。利用MATLAB软件仿真验证了系统优化配置的可行性和合理性。