Design and Development of an Intelligent Energy Management System for a Smart Grid to Enhance the Power Quality

作     者：Nisha Vasudevan Vasudevan Venkatraman A.Ramkumar T.Muthukumar A.Sheela M.Vetrivel R.J.Vijaya Saraswathi F.T.Josh 

作者机构：Department of Electrical and Electronics EngineeringKalasalingam Academy of Research and EducationTamil NaduIndia Department of Computer Science EngineeringKalasalingam Academy of Research and EducationTamil NaduIndia Department of Electrical and Electronics EngineeringKongunadu College of Engineering and TechnologyTamil NaduIndia Department of Electrical and Electronics EngineeringKongu Engineering CollegeTamil NaduIndia Department of Electrical and Electronics EngineeringNarasu’s Sarathy Institute of TechnologyTamil NaduIndia Department of Electrical and Electronics EngineeringPanimalar Engineering CollegeTamil NaduIndia Department of Electrical and Electronics EngineeringKarunya Institute of Technology&SciencesTamil NaduIndia 

出 版 物：《Energy Engineering》 (能源工程（英文）)

年 卷 期：2023年第120卷第8期

页      面：1747-1761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：Artificial intelligence resistive inductive load shunt hybrid filter smart grid adaptive fuzzy back-stepping power factor 

摘      要：MigroGrid(MG)has emerged to resolve the growing demand for *** because of its inconsistent output,it can result in various power quality(PQ)*** is a problem that is becoming more and more important for the reliability of power systems that use renewable energy ***,the employment of nonlinear loads will introduce harmonics into the system and,as a result,cause distortions in the current and voltage waveforms as well as low power quality issues in the supply ***,this research focuses on power quality enhancement in the MG using hybrid shunt ***,the performance of the filter mainly depends upon the design,and stability of the *** efficiency of the proposed filter is enhanced by incorporating an enhanced adaptive fuzzy neural network(AFNN)*** performance of the proposed topology is examined in a MATLAB/Simulink environment,and experimental findings are provided to validate the effectiveness of this ***,the results of the proposed controller are compared with Adaptive Fuzzy Back-Stepping(AFBS)and Adaptive Fuzzy Sliding(AFS)to prove its superiority over power quality improvement in *** the analysis,it can be observed that the proposed system reduces the total harmonic distortion by about 1.8%,which is less than the acceptable limit standard.