scholarly journals Novel Anti-Islanding Detection Method And Maximum Power Tracking Algorithm For Grid Connected Photovoltaic Systems With Interleaved DC/DC Converters

2021 ◽  
Author(s):  
Ahmad Yafaoui
Keyword(s):  
High Efficiency ◽  
Detection Method ◽  
Control Method ◽  
Energy System ◽  
Maximum Power ◽  
Cascade Control ◽  
Islanding Detection ◽  
Conversion System ◽  
Voltage Clamping ◽  
Zero Voltage

Photovoltaic (PV) energy, which has proven to be environmentally friendly and sustainable compared to traditional energy sources, has gained widespread attention in recent years. The grid-tied PV energy conversion system has become a preferred choice for renewable power generation since it does not need energy storage devices. In this dissertation, an advanced stateof-the-art PV energy system is developed. This includes a high-efficiency zero-voltage zerocurrent switching DC/DC converter with active voltage clamping for power loss minimization, a multiphase interleaved power conversion system with cascade control for power rating expansion, a modified maximum power point tracking (MPPT) scheme with improved accuracy and dynamic response, a novel active frequency drift anti-islanding detection met hod with grid code compliances, and a laboratory prototype PV energy system for performance evaluation and verification. Various soft switched DC/DC converters for PV applications are investigated. A new gating scheme for the converter with active voltage clamping that results in zero-voltage and zerocurrent switching (ZVZCS) is proposed. The operating principles of the proposed converter are presented and its performance is investigated. To increase the power rating of the PV converters, a multi-channel DC/DC converter system, consisting of multiple units of parallel converters and operating in an interleaved mode, is developed. A new cascade control method is proposed, where the PV array voltage is controlled by a master converter and the active current sharing is implemented by the remaining slave converters. The performance of the new control method under varying temperature and irradiance levels are analyzed and verified by simulation in the Matlab/Simulink platform. Various MPPT algorithms are investigated and their performance with rapid changes in irradiance and temperature are compared. A detailed simulation of the algorithms is carried out, and an experimental setup is developed. The islanding phenomenon in renewable energy systems is examined, and an improved active anti-islanding detection method that can detect islanding with less total harmonic distortion compared to the conventional methods is proposed. The rms value and the Fourier series coefficients of the current waveform of the proposed method are obtained and used to derive the operational characteristics of the method.

scholarly journals Novel Anti-Islanding Detection Method And Maximum Power Tracking Algorithm For Grid Connected Photovoltaic Systems With Interleaved DC/DC Converters

2021 ◽  
Author(s):  
Ahmad Yafaoui
Keyword(s):  
High Efficiency ◽  
Detection Method ◽  
Control Method ◽  
Energy System ◽  
Maximum Power ◽  
Cascade Control ◽  
Islanding Detection ◽  
Conversion System ◽  
Voltage Clamping ◽  
Zero Voltage

Photovoltaic (PV) energy, which has proven to be environmentally friendly and sustainable compared to traditional energy sources, has gained widespread attention in recent years. The grid-tied PV energy conversion system has become a preferred choice for renewable power generation since it does not need energy storage devices. In this dissertation, an advanced stateof-the-art PV energy system is developed. This includes a high-efficiency zero-voltage zerocurrent switching DC/DC converter with active voltage clamping for power loss minimization, a multiphase interleaved power conversion system with cascade control for power rating expansion, a modified maximum power point tracking (MPPT) scheme with improved accuracy and dynamic response, a novel active frequency drift anti-islanding detection met hod with grid code compliances, and a laboratory prototype PV energy system for performance evaluation and verification. Various soft switched DC/DC converters for PV applications are investigated. A new gating scheme for the converter with active voltage clamping that results in zero-voltage and zerocurrent switching (ZVZCS) is proposed. The operating principles of the proposed converter are presented and its performance is investigated. To increase the power rating of the PV converters, a multi-channel DC/DC converter system, consisting of multiple units of parallel converters and operating in an interleaved mode, is developed. A new cascade control method is proposed, where the PV array voltage is controlled by a master converter and the active current sharing is implemented by the remaining slave converters. The performance of the new control method under varying temperature and irradiance levels are analyzed and verified by simulation in the Matlab/Simulink platform. Various MPPT algorithms are investigated and their performance with rapid changes in irradiance and temperature are compared. A detailed simulation of the algorithms is carried out, and an experimental setup is developed. The islanding phenomenon in renewable energy systems is examined, and an improved active anti-islanding detection method that can detect islanding with less total harmonic distortion compared to the conventional methods is proposed. The rms value and the Fourier series coefficients of the current waveform of the proposed method are obtained and used to derive the operational characteristics of the method.

scholarly journals Dynamic Modeling and Robust Control by ADRC of Grid-Connected Hybrid PV-Wind Energy Conversion System

2019 ◽  
Vol 2019 ◽  
pp. 1-19 ◽  
Author(s):  
Imad Aboudrar ◽  
Soumia El Hani ◽  
Mohamed Saleck Heyine ◽  
Nisrine Naseri
Keyword(s):  
Control Strategy ◽  
Energy System ◽  
Maximum Power ◽  
Pv System ◽  
External Disturbances ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Renewable Energy System ◽  
Conversion System ◽  
Energy Conversion System

This work presents linear and nonlinear control strategies applied to a grid-connected multiple-source renewable energy system (wind and photovoltaic), in order to extract the maximum power and to enhance the control of the active and reactive powers. A new robust control strategy known as the active disturbance rejection control (ADRC) is proposed and applied to the hybrid renewable energy system (HRES), and it is based on the extended state observer (ESO) which allows us to estimate the internal and external disturbances such as modeling errors and parameter variations. The studied system consists of two conversion chains which are linked via a common DC bus and interconnected to the grid through a voltage source inverter (VSI); the first chain consists of a PV system and a DC-DC boost converter, and the second chain consists of a direct-driven wind turbine, permanent magnetic synchronous generator (PMSG), and of a AC/DC rectifier converter. The extraction of maximum power from the PV system and the wind energy conversion system is ensured by using the voltage based perturb and observe (VPO) and the optimal torque control (OTC) MPPT techniques, respectively. The ADRC technique is utilized to control the active and reactive powers by acting on the grid currents. In order to verify and validate the effectiveness of the proposed control strategy, a detailed model of the studied system is designed and evaluated under the MATLAB/Simulink software. The simulation results prove the effectiveness of the MPPT techniques in terms of maximum power extraction during the variation in the environmental conditions. Additionally, the regulation of active and reactive powers is ensured by ADRC, and the system is operating at a unity power factor. Moreover, it is demonstrated that the suggested strategy is efficient in terms of fast tracking and robustness to internal and external disturbances compared to the classical PI controller.

scholarly journals FPGA-Based Controller for a Hybrid Grid-Connected PV/Wind/Battery Power System with AC Load

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2108
Author(s):  
Mohamed Yassine Allani ◽  
Jamel Riahi ◽  
Silvano Vergura ◽  
Abdelkader Mami
Keyword(s):  
Fuzzy Logic ◽  
Hybrid System ◽  
High Voltage ◽  
Field Programmable Gate Arrays ◽  
Energy System ◽  
Maximum Power ◽  
Hybrid Energy ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays

The development and optimization of a hybrid system composed of photovoltaic panels, wind turbines, converters, and batteries connected to the grid, is first presented. To generate the maximum power, two maximum power point tracker controllers based on fuzzy logic are required and a battery controller is used for the regulation of the DC voltage. When the power source varies, a high-voltage supply is incorporated (high gain DC-DC converter controlled by fuzzy logic) to boost the 24 V provided by the DC bus to the inverter voltage of about 400 V and to reduce energy losses to maximize the system performance. The inverter and the LCL filter allow for the integration of this hybrid system with AC loads and the grid. Moreover, a hardware solution for the field programmable gate arrays-based implementation of the controllers is proposed. The combination of these controllers was synthesized using the Integrated Synthesis Environment Design Suite software (Version: 14.7, City: Tunis, Country: Tunisia) and was successfully implemented on Field Programmable Gate Arrays Spartan 3E. The innovative design provides a suitable architecture based on power converters and control strategies that are dedicated to the proposed hybrid system to ensure system reliability. This implementation can provide a high level of flexibility that can facilitate the upgrade of a control system by simply updating or modifying the proposed algorithm running on the field programmable gate arrays board. The simulation results, using Matlab/Simulink (Version: 2016b, City: Tunis, Country: Tunisia, verify the efficiency of the proposed solution when the environmental conditions change. This study focused on the development and optimization of an electrical system control strategy to manage the produced energy and to coordinate the performance of the hybrid energy system. The paper proposes a combined photovoltaic and wind energy system, supported by a battery acting as an energy storage system. In addition, a bi-directional converter charges/discharges the battery, while a high-voltage gain converter connects them to the DC bus. The use of a battery is useful to compensate for the mismatch between the power demanded by the load and the power generated by the hybrid energy systems. The proposed field programmable gate arrays (FPGA)-based controllers ensure a fast time response by making control executable in real time.

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