An Efficient Honey Badger Optimization Based Solar MPPT Under Partial Shading Conditions

作     者：N.Rajeswari S.Venkatanarayanan 

作者机构：Department of Electrical and Electronics EngineeringSri Ràaja Raajan College of Engineering and TechnologySivagangaTamilnadu630301India Department of Electrical and Electronics EngineeringK.L.N.College of EngineeringSivagangaiTamilnadu630612India 

出 版 物：《Intelligent Automation & Soft Computing》 (智能自动化与软计算（英文）)

年 卷 期：2023年第35卷第2期

页      面：1311-1322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）] 

主　　题：PV system gmpp tracking convergence honey badger optimization digging and honey phase 

摘      要：Due to the enormous utilization of solar energy,the photovoltaic(PV)system is *** PV system is functioned based on a maximum power point(MPP).Due to the climatic change,the Partial shading conditions have occurred under non-uniform irradiance *** the PV system,the global maximum power point(GMPP)is complex to track in the P-V curve due to the Partial ***,several tracking processes are performed using various methods like perturb and observe(P&O),hill climbing(HC),incremental conductance(INC),Fuzzy Logic,Whale Optimization Algorithm(WOA),Grey Wolf Optimi-zation(GWO)and Flying Squirrel Search Optimization(FSSO)***,the MPPT is not so efficient when the partial shading is *** increase the efficiency and convergences in MMPT,the Honey Badger optimization(HBO)algorithm is *** HBO model is motivated by the excellent foraging behaviour of honey *** HBO model is used to achieve the best solution in GMPP tracking and speed *** HBO methodology is also com-pared with prior P&O,WOA and FSSO methods using ***,the experiment shows that the HBO method is performed a higher tracking than all prior methods.