A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems

The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV) systems, due to the increasing computational power, tools and data generation. The currently employed methods for various functions of the solar PV industry related to design, forecasting, control, and maintenance have been found to deliver relatively inaccurate results. Further, the use of AI to perform these tasks achieved a higher degree of accuracy and precision and is now a highly interesting topic. In this context, this paper aims to investigate how AI techniques impact the PV value chain. The investigation consists of mapping the currently available AI technologies, identifying possible future uses of AI, and also quantifying their advantages and disadvantages in regard to the conventional mechanisms.

[1]  Pradipta Kishore Dash,et al.  Classification of power system disturbances using a fuzzy expert system and a Fourier linear combiner , 2000 .

[2]  E. Styvaktakis,et al.  Expert System for Classification and Analysis of Power System Events , 2002, IEEE Power Engineering Review.

[3]  Sung-Il Jang,et al.  An islanding detection method for distributed generations using voltage unbalance and total harmonic distortion of current , 2004, IEEE Transactions on Power Delivery.

[4]  A. Mellit Artificial intelligence based-modeling for sizing of a Stand-Alone Photovoltaic Power System: Proposition for a New Model using Neuro-Fuzzy System (ANFIS) , 2006, 2006 3rd International IEEE Conference Intelligent Systems.

[5]  Marco Liserre,et al.  An Anti-Islanding Method for Single-Phase Inverters Based on a Grid Voltage Sensorless Control , 2006, IEEE Transactions on Industrial Electronics.

[6]  Adel Mellit SIZING OF A STAND-ALONE PHOTOVOLTAIC SYSTEM BASED ON NEURAL NETWORKS AND GENETIC ALGORITHMS: APPLICATION FOR REMOTE AREAS , 2007 .

[7]  A. Cruz Serra,et al.  PQ Monitoring System for Real-Time Detection and Classification of Disturbances in a Single-Phase Power System , 2008, IEEE Transactions on Instrumentation and Measurement.

[8]  Li Ying-zi,et al.  Forecast of power generation for grid-connected photovoltaic system based on grey model and Markov chain , 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications.

[9]  Dong-Choon Lee,et al.  DC-Link Capacitance Estimation in AC/DC/AC PWM Converters Using Voltage Injection , 2008, IEEE Transactions on Industry Applications.

[10]  Soteris A. Kalogirou,et al.  Artificial intelligence techniques for sizing photovoltaic systems: A review , 2009 .

[11]  Yousuke Nozaki,et al.  Forecasting electric power generation in a photovoltaic power system for an energy network , 2009 .

[12]  Pierluigi Siano,et al.  A Multilevel Inverter for Photovoltaic Systems With Fuzzy Logic Control , 2010, IEEE Transactions on Industrial Electronics.

[13]  Flavius-Maxim Petcut,et al.  Solar Cell Parameter Identification Using Genetic Algorithms , 2010 .

[14]  Farshid Keynia,et al.  Short-Term Load Forecast of Microgrids by a New Bilevel Prediction Strategy , 2010, IEEE Transactions on Smart Grid.

[15]  Yannis Marinakis,et al.  Contribution for optimal sizing of grid-connected PV-systems using PSO , 2010 .

[16]  Jung-Wook Park,et al.  New Islanding Detection Method for Inverter-Based Distributed Generation Considering Its Switching Frequency , 2010, IEEE Transactions on Industry Applications.

[17]  Wei Lee Woon,et al.  A Bayesian Passive Islanding Detection Method for Inverter-Based Distributed Generation Using ESPRIT , 2011, IEEE Transactions on Power Delivery.

[18]  Lei Wang,et al.  An ANN-based Approach for Forecasting the Power Output of Photovoltaic System , 2011 .

[19]  Chung-Yuen Won,et al.  An Islanding Detection Method for a Grid-Connected System Based on the Goertzel Algorithm , 2011, IEEE Transactions on Power Electronics.

[20]  Hurng-Liahng Jou,et al.  Active islanding detection method for inverter-based distribution generation power system , 2012 .

[21]  Frede Blaabjerg,et al.  Design for reliability of power electronic systems , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[22]  M. F. AlHajri,et al.  Optimal extraction of solar cell parameters using pattern search , 2012 .

[23]  K. Agbossou,et al.  Experimental Evaluation of Voltage Positive Feedback Based Anti-Islanding Algorithm: Multi-Inverter Case , 2012, IEEE Transactions on Energy Conversion.

[24]  A. Testa,et al.  A Reliability Model for Power MOSFETs Working in Avalanche Mode Based on an Experimental Temperature Distribution Analysis , 2012, IEEE Transactions on Power Electronics.

[25]  Pradipta Kishore Dash,et al.  A hybrid time–frequency approach based fuzzy logic system for power island detection in grid connected distributed generation , 2012 .

[26]  Kashif Ishaque,et al.  An Improved Particle Swarm Optimization (PSO)–Based MPPT for PV With Reduced Steady-State Oscillation , 2012, IEEE Transactions on Power Electronics.

[27]  Fei Wang,et al.  Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters , 2012 .

[28]  Ismail Musirin,et al.  An intelligent method for sizing optimization in grid-connected photovoltaic system , 2012 .

[29]  Nand Kishor,et al.  Islanding and Power Quality Disturbance Detection in Grid-Connected Hybrid Power System Using Wavelet and $S$-Transform , 2012, IEEE Transactions on Smart Grid.

[30]  Weerakorn Ongsakul,et al.  Artificial Intelligence in Power System Optimization , 2013 .

[31]  M. Diagne,et al.  Review of solar irradiance forecasting methods and a proposition for small-scale insular grids , 2013 .

[32]  Jesmin F. Khan,et al.  Space vector PWM for a two-phase VSI , 2013 .

[33]  Alireza Rezazadeh,et al.  Artificial bee swarm optimization algorithm for parameters identification of solar cell models , 2013 .

[34]  Yun Bo Zhang Research on Intelligent Control Technology of PV Grid-Connected Inverter , 2014 .

[35]  Mehmet Demirtas,et al.  ANN controlled single phase inverter for solar energy systems , 2014, 2014 16th International Power Electronics and Motion Control Conference and Exposition.

[36]  Rubén J. Sánchez-García,et al.  Hierarchical Spectral Clustering of Power Grids , 2014, IEEE Transactions on Power Systems.

[37]  Wilfried Elmenreich,et al.  An Improved Method for Sizing Standalone Photovoltaic Systems Using Generalized Regression Neural Network , 2014 .

[38]  Hongxing Yang,et al.  Solar photovoltaic system modeling and performance prediction , 2014 .

[39]  Frede Blaabjerg,et al.  Transitioning to Physics-of-Failure as a Reliability Driver in Power Electronics , 2014, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[40]  Jianbo Yu,et al.  Health Degradation Detection and Monitoring of Lithium-Ion Battery Based on Adaptive Learning Method , 2014, IEEE Transactions on Instrumentation and Measurement.

[41]  Sanusi Yekinni Kolawole,et al.  Application Of Neural Networks For Predicitng The Optimal Sizing Parameters Of Stand-Alone Photovoltaic Systems , 2014 .

[42]  A. M. Natarajan,et al.  An Adaptive Neuro-Fuzzy Model to Multilevel Inverter for Grid Connected Photovoltaic System , 2015, J. Circuits Syst. Comput..

[43]  Saeed Lotfifard,et al.  Modeling and Health Monitoring of DC Side of Photovoltaic Array , 2015, IEEE Transactions on Sustainable Energy.

[44]  M. Rizwan,et al.  Fuzzy logic approach for short term solar energy forecasting , 2015, 2015 Annual IEEE India Conference (INDICON).

[45]  Ismail Musirin,et al.  Bat inspired algorithm for sizing optimization of grid-connected photovoltaic system , 2015, 2015 SAI Intelligent Systems Conference (IntelliSys).

[46]  Abdelghani Harrag,et al.  Variable step size modified P&O MPPT algorithm using GA-based hybrid offline/online PID controller , 2015 .

[47]  N. Rajasekar,et al.  Solar PV Modelling and Parameter Extraction Using Artificial Immune System , 2015 .

[48]  Xu Li,et al.  A Power Prediction Method for Photovoltaic Power Plant Based on Wavelet Decomposition and Artificial Neural Networks , 2015 .

[49]  Frede Blaabjerg,et al.  Condition monitoring for DC-link capacitors based on artificial neural network algorithm , 2015, 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG).

[50]  Yongheng Yang,et al.  Overview of Single-phase Grid-connected Photovoltaic Systems , 2015 .

[51]  Flore Remouit,et al.  Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources , 2015 .

[52]  Abbas Khosravi,et al.  A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings , 2015 .

[53]  Zechun Hu,et al.  Photovoltaic and solar power forecasting for smart grid energy management , 2015 .

[54]  Haifeng Zhou,et al.  Application of Artificial Bee Colony in Model Parameter Identification of Solar Cells , 2015 .

[55]  R. Urraca,et al.  Review of photovoltaic power forecasting , 2016 .

[56]  N. Tong,et al.  A parameter extraction technique exploiting intrinsic properties of solar cells , 2016 .

[57]  Seddik Bacha,et al.  Co-Optimization of Storage System Sizing and Control Strategy for Intelligent Photovoltaic Power Plants Market Integration , 2016, IEEE Transactions on Sustainable Energy.

[58]  Huai Wang,et al.  Prediction of bond wire fatigue of IGBTs in a PV inverter under long-term operation , 2015, 2015 IEEE Applied Power Electronics Conference and Exposition (APEC).

[59]  Ahmed A. El-Sattar,et al.  Improved particle swarm optimization for photovoltaic system connected to the grid with low voltage ride through capability , 2016 .

[60]  Fabio Viola,et al.  Day-ahead forecasting for photovoltaic power using artificial neural networks ensembles , 2016, 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA).

[61]  R. V. D. Veen,et al.  The electricity balancing market: Exploring the design challenge , 2016 .

[62]  Kincho H. Law,et al.  Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization , 2016, IEEE Transactions on Control Systems Technology.

[63]  Dumitru Roman,et al.  Usability of Visual Data Profiling in Data Cleaning and Transformation , 2017, OTM Conferences.

[64]  Hailong Li,et al.  Forecasting Power Output of Photovoltaic System Using A BP Network Method , 2017 .

[65]  George K. I. Mann,et al.  A comparison of low cost wireless communication methods for remote control of grid-tied converters , 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

[66]  Mehrdad Saif,et al.  State-Space Modeling and Observer Design of Li-Ion Batteries Using Takagi–Sugeno Fuzzy System , 2017, IEEE Transactions on Control Systems Technology.

[67]  Francesco Grimaccia,et al.  ANN Sizing Procedure for the Day-Ahead Output Power Forecast of a PV Plant , 2017 .

[68]  Henrik Sandberg,et al.  A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems , 2017, IEEE Transactions on Smart Grid.

[69]  Labib,et al.  Control system for dual-mode operation of grid-tied photovoltaic and wind energy conversion systems with active and reactive power injection , 2017 .

[70]  Aritra Dasgupta,et al.  Wavelet decomposition based fault detection in cascaded H-bridge multilevel inverter using artificial neural network , 2017, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).

[71]  Robert S. Balog,et al.  Model Predictive Control of a Voltage-Source Inverter With Seamless Transition Between Islanded and Grid-Connected Operations , 2017, IEEE Transactions on Industrial Electronics.

[72]  Murtaza Farsadi,et al.  Efficient Approach to LVRT Capability of DFIG-Based Wind Turbines under Symmetrical and Asymmetrical Voltage Dips Using Dynamic Voltage Restorer , 2017 .

[73]  Chao-Rong Chen,et al.  k-Nearest Neighbor Neural Network Models for Very Short-Term Global Solar Irradiance Forecasting Based on Meteorological Data , 2017 .

[74]  Mohammed Ali Khan,et al.  Grid connected energy efficient building with roof top SPV , 2017, 2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE).

[75]  Sankhadip Saha,et al.  Wavelet based component fault detection in diode clamped multilevel inverter using probabilistic neural network , 2017, 2017 2nd International Conference for Convergence in Technology (I2CT).

[76]  Rainer Stark,et al.  Innovations in digital modelling for next generation manufacturing system design , 2017 .

[77]  Edison R. C. da Silva,et al.  A discrete repetitive current controller for single-phase grid-connected inverters , 2017, 2017 Brazilian Power Electronics Conference (COBEP).

[78]  Lijun Wu,et al.  Intelligent fault diagnosis of photovoltaic arrays based on optimized kernel extreme learning machine and I-V characteristics , 2017 .

[79]  Jing Zhang,et al.  Application of Symbiotic Organisms Search Algorithm for Parameter Extraction of Solar Cell Models , 2018, Applied Sciences.

[80]  Xing Zhang,et al.  Research on clustering equivalent modeling of large-scale photovoltaic power plants , 2018, Chinese Journal of Electrical Engineering.

[81]  Fei Tao,et al.  Digital twin-driven product design, manufacturing and service with big data , 2017, The International Journal of Advanced Manufacturing Technology.

[82]  Qie Sun,et al.  Prediction of Photovoltaic Power Generation Based on General Regression and Back Propagation Neural Network , 2018, Energy Procedia.

[83]  Ahteshamul Haque,et al.  Condition Monitoring of Photovoltaic Systems Using Machine Leaming Techniques , 2018, 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).

[84]  O. Nwauka Virtual Power Plant Basic Requirements for Integration of Distributed Energy Resources , Driven by Industry 4 . 0 , 2018 .

[85]  Xuemin Zhang,et al.  Power System Security Under False Data Injection Attacks With Exploitation and Exploration Based on Reinforcement Learning , 2018, IEEE Access.

[86]  Jie Li,et al.  Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting , 2018, Applied Sciences.

[87]  Ching Chuen Chan,et al.  Enabling Industrial Internet of Things (IIoT) towards an emerging smart energy system , 2018 .

[88]  Prashant Baredar,et al.  Reliability analysis of hybrid renewable energy system by fault tree analysis , 2018, Energy & Environment.

[89]  S. Krauter,et al.  Photovoltaic yield prediction using an irradiance forecast model based on multiple neural networks , 2018 .

[90]  Zhehan Yi,et al.  A Unified Control and Power Management Scheme for PV-Battery-Based Hybrid Microgrids for Both Grid-Connected and Islanded Modes , 2018, IEEE Transactions on Smart Grid.

[91]  Kok Soon Tey,et al.  Forecasting of photovoltaic power generation and model optimization: A review , 2018 .

[92]  Minyou Chen,et al.  Novel Adaptive Multi-Clustering Algorithm-Based Optimal ESS Sizing in Ship Power System Considering Uncertainty , 2018, IEEE Transactions on Power Systems.

[93]  Hubert Razik,et al.  Heath Monitoring of Capacitors and Supercapacitors Using the Neo-Fuzzy Neural Approach , 2018, IEEE Transactions on Industrial Informatics.

[94]  Raj Kumar,et al.  Solar photovoltaic modeling and simulation: As a renewable energy solution , 2018, Energy Reports.

[95]  Ashish Joglekar,et al.  Digital Twin for Energy Optimization in an SMT-PCB Assembly Line , 2018, 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS).

[96]  Frede Blaabjerg,et al.  Reliability analysis of grid-interfaced filter capacitors , 2018 .

[97]  Yunfei Mu,et al.  Energy-Internet-oriented microgrid energy management system architecture and its application in China , 2018, Applied Energy.

[98]  Peifeng Xu,et al.  The Integrated Switching Control Strategy for Grid-Connected and Islanding Operation of Micro-Grid Inverters Based on a Virtual Synchronous Generator , 2018, Energies.

[99]  Mikko Martikka,et al.  Smart City Platform Enabling Digital Twin , 2018, 2018 International Conference on Intelligent Systems (IS).

[100]  Ariana Moncada,et al.  Deep Learning to Forecast Solar Irradiance Using a Six-Month UTSA SkyImager Dataset , 2018, Energies.

[101]  Edris Pouresmaeil,et al.  Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity , 2018, Energies.

[102]  Rainer Krebs,et al.  Recent and prospective developments in power system control centers: Adapting the digital twin technology for application in power system control centers , 2018, 2018 IEEE International Energy Conference (ENERGYCON).

[103]  M. Z. Sujod,et al.  Low voltage ride-through capability control for single-stage inverter-based grid-connected photovoltaic power plant , 2018 .

[104]  Lingfeng Wang,et al.  Power System Reliability Evaluation Incorporating Dynamic Thermal Rating and Network Topology Optimization , 2018, IEEE Transactions on Power Systems.

[105]  Lijun Wu,et al.  Random forest based intelligent fault diagnosis for PV arrays using array voltage and string currents , 2018, Energy Conversion and Management.

[106]  Chuan Zhang,et al.  On the feature engineering of building energy data mining , 2018 .

[107]  Yaduvir Singh,et al.  An intelligent prognostic model for electrolytic capacitors health monitoring: A design of experiments approach , 2018 .

[108]  A. Mellit,et al.  Day-Ahead Photovoltaic Forecasting: A Comparison of the Most Effective Techniques , 2019, Energies.

[109]  A. Elkholy,et al.  Optimal parameters estimation and modelling of photovoltaic modules using analytical method , 2019, Heliyon.

[110]  Alexis Kwasinski,et al.  Solar Irradiance Forecast Using Naïve Bayes Classifier Based on Publicly Available Weather Forecasting Variables , 2019, Energies.

[111]  Liang ZHANG,et al.  Reliability evaluation of modular multilevel converter based on Markov model , 2019 .

[112]  Nishant Kumar,et al.  Framework of Gradient Descent Least Squares Regression-Based NN Structure for Power Quality Improvement in PV-Integrated Low-Voltage Weak Grid System , 2019, IEEE Transactions on Industrial Electronics.

[113]  Il-Yop Chung,et al.  Day-Ahead Solar Irradiance Forecasting for Microgrids Using a Long Short-Term Memory Recurrent Neural Network: A Deep Learning Approach , 2019, Energies.

[114]  Ahteshamul Haque,et al.  Droop based Low voltage ride through implementation for grid integrated photovoltaic system , 2019, 2019 International Conference on Power Electronics, Control and Automation (ICPECA).

[115]  Yi Wang,et al.  Data-Driven Power Flow Linearization: A Regression Approach , 2017, IEEE Transactions on Smart Grid.

[116]  Mohammed Ali Khan,et al.  Fault diagnosis of Photovoltaic Modules , 2019, Energy Science & Engineering.

[117]  Frede Blaabjerg,et al.  Fault ride-through control of grid-connected photovoltaic power plants: A review , 2019, Solar Energy.

[118]  Abdelkader Mami,et al.  A High Performance Optimizing Method for Modeling Photovoltaic Cells and Modules Array Based on Discrete Symbiosis Organism Search , 2019, Energies.

[119]  Ahteshamul Haque,et al.  Intelligent control of a novel transformerless inverter topology for photovoltaic applications , 2020 .

[120]  Sukumar Mishra,et al.  A Stealth Cyber-Attack Detection Strategy for DC Microgrids , 2019, IEEE Transactions on Power Electronics.

[121]  Xun Xu,et al.  Energy-efficient cyber-physical production network: Architecture and technologies , 2019, Comput. Ind. Eng..

[122]  Pedro Gazmuri,et al.  An Adaptive Robust Optimization Model for Power Systems Planning with Operational Uncertainty , 2020, 2020 IEEE Power & Energy Society General Meeting (PESGM).

[123]  Jianfeng Yan,et al.  Digital twin and its application to power grid online analysis , 2019, CSEE Journal of Power and Energy Systems.

[124]  Evgeny Nefedov,et al.  Composition and Application of Power System Digital Twins Based on Ontological Modeling , 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

[125]  Shengli Zhang,et al.  Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach , 2019, Energies.

[126]  Srete Nikolovski,et al.  A Novel ANFIS-Based Islanding Detection for Inverter-Interfaced Microgrids , 2019, IEEE Transactions on Smart Grid.

[127]  Francisco Gordillo,et al.  Parameters identification of PV solar cells and modules using flexible particle swarm optimization algorithm , 2019, Energy.

[128]  Saad Mekhilef,et al.  Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques , 2019, IET Renewable Power Generation.

[129]  Hafedh Trabelsi,et al.  Fuzzy logic approach for smooth transition between grid-connected and stand-alone modes of three-phase DG-inverter , 2019, Electric Power Systems Research.

[130]  Ajith Kumar Parlikad,et al.  A Neural Ordinary Differential Equations Based Approach for Demand Forecasting within Power Grid Digital Twins , 2019, 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

[131]  K. N. Nwaigwe,et al.  An overview of solar power (PV systems) integration into electricity grids , 2019 .

[132]  Frede Blaabjerg,et al.  Artificial Intelligence Aided Automated Design for Reliability of Power Electronic Systems , 2019, IEEE Transactions on Power Electronics.

[133]  Andrew Y. C. Nee,et al.  Enabling technologies and tools for digital twin , 2019 .

[134]  Ahteshamul Haque,et al.  Performance assessment of stand‐alone transformerless inverters , 2019, International Transactions on Electrical Energy Systems.

[135]  Pierluigi Siano,et al.  An Effective Passive Islanding Detection Algorithm for Distributed Generations , 2019, Energies.

[136]  Ashu Verma,et al.  An Energy Management and Recommender System for Lighting Control in Internet-of-Energy enabled Buildings , 2019 .

[137]  Li Zhang,et al.  Carrier-based sinusoidal pulse-width modulation techniques for flying capacitor modular multi-level cascaded converter , 2019, Heliyon.

[138]  Mochamad Ashari,et al.  Harmonics Reduction for Four-Leg Distribution Network-Connected Single Phase Transformerless PV Inverter System Using Diagonal Recurrent Neural Network , 2019, 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT).

[139]  Ali Dehghantanha,et al.  Smart Grid Cyber Attacks Detection Using Supervised Learning and Heuristic Feature Selection , 2019, 2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE).

[140]  J. Bryson The Past Decade and Future of AI’s Impact on Society , 2019 .

[141]  Joseph J. Berry,et al.  The 2020 photovoltaic technologies roadmap , 2020, Journal of Physics D: Applied Physics.

[142]  Siyi Wang,et al.  A Power Prediction Method for PV system Based on Wavelet Decomposition and Neural Networks , 2020, 2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia).

[143]  Rosa Anna Mastromauro Grid Synchronization and Islanding Detection Methods for Single-Stage Photovoltaic Systems , 2020 .

[144]  Reliability Analysis of a Solar Inverter during Reactive Power Injection , 2020, 2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).

[145]  J. Eynard,et al.  Multi-Horizon Forecasting of Global Horizontal Irradiance Using Online Gaussian Process Regression: A Kernel Study , 2020, Energies.

[146]  Marco Mussetta,et al.  Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks , 2020, Energies.

[147]  Foster Lubbe,et al.  Evaluating the Potential of Gaussian Process Regression for Solar Radiation Forecasting: A Case Study , 2020, Energies.

[148]  Ahteshamul Haque,et al.  A Novel Fault Classification Approach for Photovoltaic Systems , 2020, Energies.

[149]  Rong-Jong Wai,et al.  Design of Hybrid Artificial Bee Colony Algorithm and Semi-Supervised Extreme Learning Machine for PV Fault Diagnoses by Considering Dust Impact , 2020, IEEE Transactions on Power Electronics.

[150]  Syafrudin Masri,et al.  Grid-Connected PV Generation System—Components and Challenges: A Review , 2020 .

[151]  Ramin Vatankhah,et al.  Artificial neural networks and adaptive neuro-fuzzy inference systems for parameter identification of dynamic systems , 2020, J. Intell. Fuzzy Syst..

[152]  Hyun-Jin Lee,et al.  A Review on Deep Learning Models for Forecasting Time Series Data of Solar Irradiance and Photovoltaic Power , 2020, Energies.

[153]  Zhenyu He,et al.  Fault Prognostics for Photovoltaic Inverter Based on Fast Clustering Algorithm and Gaussian Mixture Model , 2020, Energies.

[154]  Zhong Fan,et al.  Digital Twin: Enabling Technologies, Challenges and Open Research , 2019, IEEE Access.

[155]  Fei Tao,et al.  DT-II: Digital twin enhanced Industrial Internet reference framework towards smart manufacturing , 2020, Robotics Comput. Integr. Manuf..

[156]  Sukumar Mishra,et al.  Distributed Screening of Hijacking Attacks in DC Microgrids , 2020, IEEE Transactions on Power Electronics.

[157]  John E. Taylor,et al.  Smart City Digital Twin–Enabled Energy Management: Toward Real-Time Urban Building Energy Benchmarking , 2020, Journal of Management in Engineering.

[158]  M. J. Mayer,et al.  Extensive comparison of physical models for photovoltaic power forecasting , 2020 .

[159]  Haibo Gao,et al.  A Data-Driven-Based Fault Diagnosis Approach for Electrical Power DC-DC Inverter by Using Modified Convolutional Neural Network With Global Average Pooling and 2-D Feature Image , 2020, IEEE Access.

[160]  Samy Faddel,et al.  IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation , 2020 .

[161]  Frede Blaabjerg,et al.  Coordinated reactive power strategy using static synchronous compensator for photovoltaic inverters , 2020 .

[162]  Tomislav Dragicevic,et al.  An Event-Driven Resilient Control Strategy for DC Microgrids , 2020, IEEE Transactions on Power Electronics.

[163]  O. Fatih Kececioglu,et al.  Design and Hardware Implementation Based on Hybrid Structure for MPPT of PV System Using an Interval Type-2 TSK Fuzzy Logic Controller , 2020, Energies.

[164]  Yousef Mahmoud,et al.  A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays , 2020, IEEE Access.

[165]  Rajesh Wadhvani,et al.  Solar Irradiance Forecasting Based on Deep Learning Methodologies and Multi-Site Data , 2020, Symmetry.

[166]  Costas J. Spanos,et al.  A Digital Twin Approach for Fault Diagnosis in Distributed Photovoltaic Systems , 2020, IEEE Transactions on Power Electronics.

[167]  Frede Blaabjerg,et al.  Comparative evaluation of reliability assessment methods of power modules in motor drive inverter , 2020 .

[168]  Pierluigi Siano,et al.  Intrusion-Detector-Dependent Frequency Regulation for Microgrids Under Denial-of-Service Attacks , 2020, IEEE Systems Journal.

[169]  Tomislav Dragicevic,et al.  Resilient Operation of Heterogeneous Sources in Cooperative DC Microgrids , 2020, IEEE Transactions on Power Electronics.

[170]  Alexandros G. Charalambides,et al.  Training and Testing of a Single-Layer LSTM Network for Near-Future Solar Forecasting , 2020, Applied Sciences.

[171]  Ahteshamul Haque,et al.  Advanced Control Strategy With Voltage Sag Classification for Single-Phase Grid-Connected Photovoltaic System , 2022, IEEE Journal of Emerging and Selected Topics in Industrial Electronics.

[172]  Qi Li,et al.  Data-driven Cyberattack Detection for Photovoltaic (PV) Systems through Analyzing Micro-PMU Data , 2020, 2020 IEEE Energy Conversion Congress and Exposition (ECCE).

[173]  Lin Hou,et al.  State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network , 2020, IEEE Access.

[174]  Farzad Rajaei Salmasi,et al.  Islanding Fault Detection in Microgrids—A Survey , 2020 .

[175]  Frede Blaabjerg,et al.  An Overview of Artificial Intelligence Applications for Power Electronics , 2020, IEEE Transactions on Power Electronics.

[176]  F. Luo,et al.  Influence of Wire-Bonding Layout on Reliability in IGBT Module , 2020, 2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe).

[177]  Frede Blaabjerg,et al.  Decentralized Coordinated Cyberattack Detection and Mitigation Strategy in DC Microgrids Based on Artificial Neural Networks , 2021, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[178]  Tomislav Dragicevic,et al.  Cyber Security in Control of Grid-Tied Power Electronic Converters—Challenges and Vulnerabilities , 2021, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[179]  Ahteshamul Haque,et al.  Islanding Classification Mechanism for Grid-Connected Photovoltaic Systems , 2021, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[180]  Jyh-Cherng Gu,et al.  A Simplified LSTM Neural Networks for One Day-Ahead Solar Power Forecasting , 2021, IEEE Access.

[181]  F. Blaabjerg,et al.  Monte Carlo Simulation With Incremental Damage for Reliability Assessment of Power Electronics , 2021, IEEE Transactions on Power Electronics.

[182]  Branislav Hredzak,et al.  Distributed Dynamic Clustering Algorithm for Formation of Heterogeneous Virtual Power Plants Based on Power Requirements , 2021, IEEE Transactions on Smart Grid.

[183]  M. Tucci,et al.  Power Forecasting of a Photovoltaic Plant Located in ENEA Casaccia Research Center , 2021, Energies.

[184]  Umashankar Subramaniam,et al.  Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting , 2021, Energies.

[185]  Jimmy Chih-Hsien Peng,et al.  A Localized Event-Driven Resilient Mechanism for Cooperative Microgrid Against Data Integrity Attacks , 2020, IEEE Transactions on Cybernetics.

[186]  Marjan Popov,et al.  Hybrid Islanding Detection Method of Photovoltaic-Based Microgrid Using Reference Current Disturbance , 2021 .

[187]  Tomislav Dragicevic,et al.  Multilayer Resilience Paradigm Against Cyber Attacks in DC Microgrids , 2021, IEEE Transactions on Power Electronics.

[188]  Luiz Carlos da Costa,et al.  Reliability-Constrained Power System Expansion Planning: A Stochastic Risk-Averse Optimization Approach , 2019, IEEE Transactions on Power Systems.

[189]  Zhenpo Wang,et al.  Battery Fault Diagnosis for Electric Vehicles Based on Voltage Abnormality by Combining the Long Short-Term Memory Neural Network and the Equivalent Circuit Model , 2021, IEEE Transactions on Power Electronics.

[190]  A. B. Raju,et al.  System Parameter Based Performance Optimization of Solar PV Systems with Perturbation Based MPPT Algorithms , 2021 .

[191]  Frede Blaabjerg,et al.  Stand-Alone Operation of Distributed Generation Systems With Improved Harmonic Elimination Scheme , 2021, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[192]  Ahteshamul Haque,et al.  Dynamic Voltage Support for Low-Voltage Ride-Through Operation in Single-Phase Grid-Connected Photovoltaic Systems , 2021, IEEE Transactions on Power Electronics.

[193]  Intelligent long-term performance analysis in power electronics systems , 2021, Scientific reports.

[194]  Frede Blaabjerg,et al.  Intelligent Transition Control between Grid-Connected and Standalone Modes of Three-Phase Grid-Integrated Distributed Generation Systems , 2021, Energies.

[195]  Jingbo Wang,et al.  A Powerful Bio-Inspired Optimization Algorithm Based PV Cells Diode Models Parameter Estimation , 2021, Frontiers in Energy Research.

[196]  Ali Etem Gürel,et al.  Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison , 2021, Renewable and Sustainable Energy Reviews.

[197]  Ahteshamul Haque,et al.  Single Phase Transformerless Photovoltaic Inverter for Grid Connected systems- An overview , 2021 .