Grid-Tied PV-BES system based on modified bat algorithm-FLC MPPT technique under uniform conditions

作     者：Zhao, Lijun Jiang, Mingxin Dadfar, Sajjad Ibrahim, Ahmed Aboelsaud, Raef Jamali, Farah 

作者机构：Hebei Univ Sci & Technol Sch Econ & Management Shijiazhuang Hebei Peoples R China Huaiyin Inst Technol Fac Elect & Informat Engn Huaian Peoples R China Islamic Azad Univ Dept Elect Engn Saveh Branch Saveh Iran Zagazig Univ Dept Elect Power & Machines Engn Zagazig Egypt 

出 版 物：《NEURAL COMPUTING & APPLICATIONS》 (神经网络计算与应用)

年 卷 期：2021年第33卷第21期

页      面：14929-14943页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Initial Scientific Research Fund of Doctor of Hebei University of science and technology  China 

主　　题：PV BES MPPT FLC controller Modified bat algorithm 

摘      要：Grid-connected photovoltaic (PV) systems play an important role in reducing emissions resulting from conventional fossil-fuel-based power plants. However, in order to effectively integrated PV systems into the power system, many challenges regarding these renewable resources such as extracting maximum power under various conditions should be solved. This paper suggests an enhanced maximum power point tracking (MPPT) by the fuzzy logic controller (FLC) and a modified bat algorithm (MBA) to fine-tune the parameters of the controller. The FLC is greatly affected by rule base and membership functions (MFs). The fine-tuning of such parameters cannot be appropriate when accurate information regarding the system is not available. To overcome the above-mentioned challenges, the MBA algorithm is utilized to optimize the scaling factors of MFs. Simulation results confirm that the suggested MBA-FLC method can effectively cope with the global maxima under different weather circumstances with high efficiency, faster tracking and stable output.