Grid Tied Solar PV System with Power Quality Enhancement Using Adaptive Generalized Maximum Versoria Criterion  

作　　者：Manoj Badoni Alka Singh Ankit Kumar Singh Hemant Saxena Rajeev Kumar 

机构地区：[1]Delhi Technological University,Delhi 110042,India.A.K.Singh is with Netaji Subhas University of Technology,Delhi 110078,India [2]Netaji Subhas University of Technology,Delhi 110078,India [3]Electrical and Electronics Engineering Department,KIET Group of Institutions,Ghaziabad,India [4]Electrical Engineering Department,Jamia Millia Islamia,New Delhi,India

出　　处：《CSEE Journal of Power and Energy Systems》2023年第2期722-732,共11页中国电机工程学会电力与能源系统学报（英文）

摘　　要：A three phase grid tied solar photovoltaic(PV)system with power quality compensation features is presented in this paper.This system is used to transfer power generated from a solar PV array to feed linear and nonlinear loads along with compensation for several power quality(PQ)issues,such as harmonics,redundant reactive power and load unbalancing.The generated DC power from the PV array is converted into AC by implementing a three-phase voltage source converter(VSC).In order to transfer active power and mitigate PQ problems,an efficient control technique is required for the grid tied solar PV system.This study presents the use of an adaptive generalized maximum Versoria criterion(AGMVC)controller for VSC used in a solar PV energy conversion system.Efficient utilization of the solar PV array is accomplished by using the Perturb and Observe based maximum power point tracking(MPPT)algorithm.The experimental setup of the grid integrated PV system is implemented in the laboratory using an IGBT based VSC and DSP(dSPACE DS-1202).The performance of the AGMVC control technique is verified experimentally using laboratory prototype.This control technique is compared with different conventional controllers,such as synchronous reference frame theory(SRFT)and instantaneous reactive power theory(IRPT)along with recently developed weight-based controllers viz.,least mean square(LMS),least mean mixed norm(LMMN)and normalized kernel least mean fourth-neural network(NKLMFNN).Numerous terms,such as fundamental weight convergence,steady state error,computational complexity,phase lock loop(PLL)requirement and harmonic compensation capability,are considered for comparison purposes of AGMVC with the above listed control techniques.The system performance is verified according to the IEEE-519 standard.

关 键 词：HARMONICS maximum versoria criterion power factor corection(PFC) solar photovoltaic 

分 类 号：TM615[电气工程—电力系统及自动化]