An Efficient MPPT Tracking in Solar PV System with Smart Grid Enhancement Using CMCMAC Protocol
作者机构:Saveetha School of EngineeringSIMATSChennai602105India Department of Electrical and Computer EngineeringNavajo Technical UniversityCrown PointNMUSA Department of Electrical EngineeringKing Khalid UniversityAbhaSaudi Arabia Department of EEEV.S.B.Engineering CollegeTamilnaduIndia Department of Electrical EngineeringPeri Institute of TechnologyTamilnaduIndia Department of CSEModel Institute of Engineering and TechnologyJammuIndia
出 版 物:《Computer Systems Science & Engineering》 (计算机系统科学与工程(英文))
年 卷 期:2023年第47卷第11期
页 面:2417-2437页
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:funding this research work through the Small Group Research Project under Grant Number RGP1/70/44
主 题:DC/DC converter MPPT controller Artificial Neural Network(ANN)algorithm ZIGBEE communication CMCMAC protocol Smart Grid(SG)
摘 要:Renewable energy sources like solar,wind,and hydro are becoming increasingly popular due to the fewer negative impacts they have on the ***,Since the production of renewable energy sources is still in the process of being created,photovoltaic(PV)systems are commonly utilized for installation situations that are acceptable,clean,and *** study presents an adaptive artificial intelligence approach that can be used for maximum power point tracking(MPPT)in solar systems with the help of an embedded *** adaptive method incorporates both the Whale Optimization Algorithm(WOA)and the Artificial Neural Network(ANN).The WOA was implemented to enhance the process of the ANN model’s training,and the ANN model was developed using the *** addition to this,the inverter circuit is connected to the smart grid system,and the strengthening of the smart grid is achieved through the implementation of the CMCMAC *** protocol prevents interference between customers and the organizations that provide their *** a protocol known as Cross-Layer Multi-Channel MAC(CMCMAC),the effect of interference is removed using the way that was ***,with the utilization of the ZIGBEE communication technology,bidirectional communication is made *** strategy that was suggested has been put into practice,and the results have shown that the PV system produces an output power of 73.32 KW and an efficiency of 98.72%.In addition to this,a built-in regulator is utilized to validate the proposed *** this paper,the results of various experiments are analyzed,and a comparison is made between the suggested WOA with the ANN controller approach and others,such as the Particle Swarm Optimization(PSO)based MPPT and the Cuckoo Search(CS)based *** examining the comparison findings,it was determined that the adaptive AI-based embedded controller was superior to the other alternatives.