Power rating analysis and protection for photovoltaic-isolated port based differential power processing systems

Abstract In a photovoltaic generation system (PGS), photovoltaic (PV) modules are often connected in series for increased string voltage. However, a significant reduction in the actual output power is observed due to the manufacturing tolerance, module aging and partial shaded. Compared with conventional methods such as bypass diodes and PV module reconfiguration, modular distributed architecture especially the differential power processing (DPP) is able to yield high output power even under partial shading conditions. Moreover, the system efficiency is improved since only the differential power is processed by the DPP converters. This paper mainly focuses on the power rating analysis and protection of PV-isolated Port (PV-IP) based DPP systems considering the significant power stress difference among DPP converters under different partial shading conditions. The voltage equalization (VE) control used in this work is able to provide up to 77% efficiency improvement through the simulation evaluation. The protection algorithm is proposed for the PV-IP DPP architecture to improve the system reliability even when some DPP converters are found failed. With the proposed protection strategy, not only the high output power yield can be maintained, but also the modular design of DPP converters with smaller power capacity can be achieved. Simulation and indoor experimental tests under various partial shading conditions were carried out to validate the effectiveness of the proposed power rating analysis and protection scheme.

[1]  Hassan Fathabadi,et al.  Novel solar powered electric vehicle charging station with the capability of vehicle-to-grid , 2017 .

[2]  Hassan Fathabadi,et al.  Novel grid-connected solar/wind powered electric vehicle charging station with vehicle-to-grid technology , 2017 .

[3]  Huiqing Wen,et al.  A novel beta parameter based fuzzy-logic controller for photovoltaic MPPT application , 2019, Renewable Energy.

[4]  Fang Zhuo,et al.  An Improved Submodule Differential Power Processing-Based PV System With Flexible Multi-MPPT Control , 2018, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[5]  Dragan Maksimovic,et al.  Control of Submodule Integrated Converters in the Isolated-Port Differential Power-Processing Photovoltaic Architecture , 2014, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[6]  Violeta Holmes,et al.  Evaluating Power Loss and Performance Ratio of Hot-Spotted Photovoltaic Modules , 2018, IEEE Transactions on Electron Devices.

[7]  Y. Al-Turki,et al.  A review on maximum power point tracking for photovoltaic systems with and without shading conditions , 2017 .

[8]  D. Maksimovic,et al.  Architectures and Control of Submodule Integrated DC–DC Converters for Photovoltaic Applications , 2013, IEEE Transactions on Power Electronics.

[9]  V. Vittal,et al.  Mitigation Control Against Partial Shading Effects in Large-Scale PV Power Plants , 2016, IEEE Transactions on Sustainable Energy.

[10]  Huiqing Wen,et al.  Bidirectional flyback based isolated-port submodule differential power processing optimizer for photovoltaic applications , 2017 .

[11]  N. D. Kaushika,et al.  Energy yield simulations of interconnected solar PV arrays , 2002, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[12]  Huiqing Wen,et al.  Dual-coupled inductors-based high step-up DC/DC converter without input electrolytic capacitor for PV application , 2017 .

[13]  Young-Tae Jeon,et al.  Least Power Point Tracking Method for Photovoltaic Differential Power Processing Systems , 2017, IEEE Transactions on Power Electronics.

[14]  Huiqing Wen,et al.  A novel power-increment based GMPPT algorithm for PV arrays under partial shading conditions , 2018 .

[15]  Weidong Xiao,et al.  Forecasting-Based Power Ramp-Rate Control Strategies for Utility-Scale PV Systems , 2019, IEEE Transactions on Industrial Electronics.

[16]  Dragan Maksimovic,et al.  Performance of Power-Limited Differential Power Processing Architectures in Mismatched PV Systems , 2015, IEEE Transactions on Power Electronics.

[17]  C. Larbes,et al.  A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions , 2018, Renewable and Sustainable Energy Reviews.

[18]  F. Chenlo,et al.  Experimental study of mismatch and shading effects in the I-V characteristic of a photovoltaic module , 2006 .

[19]  P. T. Krein,et al.  Differential Power Processing for Increased Energy Production and Reliability of Photovoltaic Systems , 2013, IEEE Transactions on Power Electronics.

[20]  Huiqing Wen,et al.  Synchronous buck converter based low-cost and high-efficiency sub-module DMPPT PV system under partial shading conditions , 2016 .

[21]  Bing Sun,et al.  Should China focus on the distributed development of wind and solar photovoltaic power generation? A comparative study , 2017 .

[22]  Huiqing Wen,et al.  Detection and Assessment of Partial Shading Scenarios on Photovoltaic Strings , 2018, IEEE Transactions on Industry Applications.

[23]  Philip T. Krein,et al.  Photovoltaic Hot-Spot Detection for Solar Panel Substrings Using AC Parameter Characterization , 2016, IEEE Transactions on Power Electronics.

[24]  Himanshu Sekhar Sahu,et al.  Maximizing the Power Generation of a Partially Shaded PV Array , 2016, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[25]  Huiqing Wen,et al.  An Improved MPPT Method for PV System With Fast-Converging Speed and Zero Oscillation , 2016, IEEE Transactions on Industry Applications.

[26]  Huiqing Wen,et al.  Drift-free current sensorless MPPT algorithm in photovoltaic systems , 2019, Solar Energy.

[27]  Weidong Xiao,et al.  Modified Beta Algorithm for GMPPT and Partial Shading Detection in Photovoltaic Systems , 2018, IEEE Transactions on Power Electronics.

[28]  Kosuke Kurokawa Realistic values of various parameters for PV system design , 1998 .

[29]  V. Agarwal,et al.  MATLAB-Based Modeling to Study the Effects of Partial Shading on PV Array Characteristics , 2008, IEEE Transactions on Energy Conversion.

[30]  Huiqing Wen,et al.  Analysis of the optimum tilt angle for a soiled PV panel , 2017 .

[31]  Lin Cheng,et al.  Mitigating Voltage Problem in Distribution System With Distributed Solar Generation Using Electric Vehicles , 2015, IEEE Transactions on Sustainable Energy.

[32]  Huiqing Wen,et al.  An Improved Beta Method With Autoscaling Factor for Photovoltaic System , 2016, IEEE Transactions on Industry Applications.

[33]  R. W. Erickson,et al.  Characterization of Power Optimizer Potential to Increase Energy Capture in Photovoltaic Systems Operating Under Nonuniform Conditions , 2013, IEEE Transactions on Power Electronics.

[34]  Akash Kumar Shukla,et al.  Recent advancement in BIPV product technologies: A review , 2017 .

[35]  M. Becherif,et al.  AI-based global MPPT for partial shaded grid connected PV plant via MFO approach , 2018, Solar Energy.

[36]  Nebojša Jakica,et al.  State-of-the-art review of solar design tools and methods for assessing daylighting and solar potential for building-integrated photovoltaics , 2018 .

[37]  Nicu Bizon,et al.  Global Maximum Power Point Tracking (GMPPT) of Photovoltaic array using the Extremum Seeking Control (ESC): A review and a new GMPPT ESC scheme , 2016 .

[38]  Li Fu,et al.  An Advanced Maximum Power Point Tracking Method for Photovoltaic Systems by Using Variable Universe Fuzzy Logic Control Considering Temperature Variability , 2018, Electronics.

[39]  Huiqing Wen,et al.  A Reconfiguration Method for Extracting Maximum Power from Non-Uniform Aging Solar Panels , 2018, Energies.

[40]  Kaizhu Huang,et al.  Maximum Power Point Estimation for Photovoltaic Strings Subjected to Partial Shading Scenarios , 2019, IEEE Transactions on Industry Applications.