IoT Enabled Microgrid Framework Using a Novel Dispersal Diffusion Artificial Neural Network Controller for PV Systems and Wind Energy to Minimize Electrical Faults

作     者：V V Vijetha Inti V S Vakula V V Vijetha Inti;V S Vakula

作者机构：Jawaharlal Nehru Technological University Kakinada University College of Engineering VizianagaramJNTUK 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2024年第21卷第12期

页      面：217-230页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：dispersal diffusion search and artificial neural network maximum power point tracking(MPPT) photovoltaic(PV)array wind energy conversion system(WECS) 

摘      要：A system based on a PV-Wind will ensure better efficiency and flexibility using lower energy ***,plenty of work is being focussed on Doubly Fed Induction Generators(DFIG)utilized in wind energy *** is found to be the best option in the Wind Energy Conversion Systems(WECS)to mitigate the issues caused by power *** this work,a new Artificial Neural Network(ANN)is proposed with the Diffusion and Dispersal strategy that works on Maximum Power Point Tracking(MPPT)along with Wind Energy Conversion System(WECS)to minimize electrical *** controller focus was not just to increase performance but also to reduce damage owing to any phase to phase fault or Phase to phase to ground *** ensure optimal MPPT for the proposed WECS,ANN achieves the optimal PI controller parameters for the indirect control of active and reactive power of *** optimal allocation and size of the DGs within the distributed system and for MPPT control are obtained using a population of *** generated solutions are evaluated and on being successful,the agents test their hypothesis again to create a positive feedback *** are carried out,and the proposed IoT framework efficiency indicates performance improvement and faster recovery against faults by 9 percent for phase to ground fault and by 7.35 percent for phase to phase fault.