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[IEEE 2019 International Conference on Power Electronics, Control and Automation (ICPECA) - New Delhi, India (2019.11.16-2019.11.17)] 2019 International Conference on Power Electronics, Control and Automation (ICPECA) - Machine Learning Based Islanding Detection for Grid Connected Photovoltaic System
摘要： This paper focus on developing a new islanding detection method with the help of machine learning and signal processing technique. The islanding detection method make sure that there is a proper remote monitoring of the grid integrated photovoltaic (PV) system. In case of grid fault or maintained of the grid, a proper informed signal is provided to various distributed generation (DG) networks so that they can disconnect with the grid and operate in isolated mode. A simulation of 1kW grid connected PV system is performed. The signal such as voltage, current and frequency are recorded at point of common coupling (PCC). The feature of recorded signals are extracted using wavelet transformation. The extracted features are used to form a islanding scenarios matrix. The matrix is further utilized to train a classi?er using machine learning algorithm. From the result it can be observed that the trained classi?er depicted 97.9% training accuracy with a training time of 16.9 sec which is better when compared with the literature. Further the trained classi?er is subjected to test with an unknown islanding condition to observe the robustness of the classi?er.
关键词： Islanding detection,complex tree,wavelet transform,Grid integrated photovoltaic system,distribution generation
更新于2025-09-23 15:21:01
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[IEEE 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - Munich, Germany (2019.6.23-2019.6.27)] 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - 567 ns Pulses from Passively Q-Switched Er:YLF Laser Generating at 2.81 ??m
摘要： One of the main challenges of integrating distributed generation into the power grid is islanding, which occurs when a disconnected power line is adversely energized by a local distributed generation source. If islanding is not quickly detected, it can present serious safety and hazardous conditions. Conventional passive detection techniques used today are entirely dependent on the parameters of the power system, which under certain operating conditions may fail to detect islanding. In this paper, a novel and efficient passive islanding detection technique for grid-connected photovoltaic-based inverters is presented. In this technique, the ripple content of the inverter output voltage at the point of common coupling is monitored for deviations using time-domain spectral analysis. Islanding is then detected whenever the ripple spectral content exceeds a preset threshold level for a certain period of time. The performance of this technique was extensively tested and quantified under a wide range of operating conditions. It was determined that the proposed technique did not exhibit any non-detection zone and was able to detect all types of islanding cases within 300 ms of the allowed delay time. Furthermore, the proposed technique was found to be robust and inherently immune to other degrading factors, since it is relatively independent of system parameters, power system scaling, or the number of distributed generation sources present within the islanding zone.
关键词： passive islanding detection,Anti-islanding,smart grid,spectral analysis,distributed generation
更新于2025-09-19 17:13:59
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The Improvement of an Islanding Detection Method Based on the Perturbation Signal in Case of a Multi-Photovoltaic Operation
摘要： Islanding phenomenon is one of the consequences of the emergence and development of microgrids in the power system. Injected signal cancellation is a common problem in a multi-distributed generation that has a significant influence on active islanding detection methods. In this study, this issue was analyzed by injecting a perturbation signal in the multi-photovoltaic system. Furthermore, the promising solution to eliminate injected signal cancellation was proposed in this paper. The solution was validated through mathematical explanations and simulation results.
关键词： active islanding detection method,DC grid,photovoltaic system,perturbation signal,multi-distributed generations,islanding detection,injected signal,cancellation
更新于2025-09-16 10:30:52
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Islanding detection method of multi-port photovoltaic DC micro grid based on harmonic impedance measurement
摘要： DC Grid does not transmit reactive power, nor does it offer frequency and phase issues. This results in malfunction of conventional islanding detection methods (IDMs) that rely on the above quantities. At present, the DC IDMs proposed in literatures are mostly active power injection methods based on DC/DC converters. However, in a multi-photovoltaic (PV) DC system, the synchronization of the injection of converters is difficult to guarantee, which may lead to detection failure. This paper proposes an impedance measurement IDM for multi-PV DC micro grid based on the analysis of high-frequency impedance model of power electronic devices. The impedance of DC converters is constant at high frequency and the harmonic impedance of the system changes significantly after islanding, so that islanding operation can be accurately detected. The harmonic impedance change directly reflects the structural changes of the system, and its calculation requires less disturbance intensity, which avoids the requirement of synchronous injection. Therefore, the method uses a DC/DC converter for injection, without the need for additional injection equipment. The method has little influence on power quality and theoretically has no none detection zone. Simulation results show that the method can perform accurately islanding detection in multi-PV DC micro grid.
关键词： DC Grid,DC micro grid,photovoltaic,harmonic impedance measurement,islanding detection methods
更新于2025-09-16 10:30:52
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[IEEE 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) - Tirunelveli, India (2018.5.11-2018.5.12)] 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) - Analysis of Active and Passive Method for Islanding Detection of 3-Phase Grid Connected PV System
摘要： The purpose of this paper is to detect islanding condition in three phase grid connected PV system by using islanding detection method. PV system has more momentum in power sector due to market deregulations and environmental issues. Islanding occurs when a portion of the distribution system becomes electrically isolate from the main generation and grid meet continues power by PV array system. so, it is very important requirement to interconnect a solar system to power grid and their the capability of the PV system to detect islanding detection. Anti-islanding methods generally can be classified into four major groups, which include passive methods, and communication base methods. Also, this paper is offer knowledge about PV array, DC-DC converter, voltage source converter in grid connected photovoltaic systems and explain one passive method and one active method for islanding detection of three phase grid connected PV system with MATLAB simulations and results.
关键词： boost converter,voltage source converter,PV array,islanding detection
更新于2025-09-04 15:30:14