Data Description Technique-Based Islanding Classification for Single-Phase Grid-Connected Photovoltaic System

Haque, Ahteshamul; Alshareef, Abdulaziz; Khan, Asif Irshad; Alam, Manawwer; Kurukuru, Varaha Satya Bharath; Irshad, Kashif

doi:10.3390/s20113320

Cited by 13 publications

(7 citation statements)

References 38 publications

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“…On the other hand, hybrid IDMs based on signal processing technique [26,30] and communication-based remote IDMs [33,34,58] are accurate, efficient, fast, and reliable in detecting islands but they have high computational burden and cost concerns. Remote IDMs dominates the IDMs with its high speed of detection in the order of 20 ms with very small or almost zero NDZ.…”

Section: Summarized Results Of the Proposed Micro-synchrophasor Based Idmmentioning

confidence: 99%

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Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation

Subramanian¹,

Loganathan²

2020

Energies

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Distributed Generation (DG) has changed the power generation system to small-scale instead of large-scale generation. The demanding issue with the interconnection of DG is the detection of unintended islanding in a network. Several methods proposed in the literature show drawbacks such as high non-detection zones (NDZ) and higher tripping time. In this paper, the IEEE 13 bus distribution network with DGs like wind and solar power plants is integrated at two buses. Islanding is detected by utilizing data from a micro-synchrophasor located at the distribution grid and the DG. The micro-synchrophasor-based unintended islanding detection algorithm is based on parameters such as voltage, rate of change of voltage, frequency, rate of change of frequency, voltage phase angle difference and the rate of change of the voltage phase angle difference between the utility and the islanded grid. The proposed islanding detection algorithm discriminates between islanding and non-islanding conditions and is highly efficient under zero power mismatch conditions. The proposed method has null NDZ and satisfies the IEEE 1547 standard for DG tripping time. The effectiveness of the proposed IDM was verified when there are multiple DGs in the islanded grid. Also, the proposed method does not require additional hardware as it can be incorporated in digital relays with synchrophasor functionality.

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Section: Summarized Results Of the Proposed Micro-synchrophasor Based Idmmentioning

confidence: 99%

“…Haque et al [30] developed an islanding classification mechanism to overcome the issues of NDZ with traditional IDMs. They used a support vector-based data description technique with Gaussian RBF kernels for IS and NISs.…”

Section: Literature Reviewmentioning

confidence: 99%

Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation

Subramanian¹,

Loganathan²

2020

Energies

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“…In this state, inductors i L1 and i L2 decrease linearly and i L3 increases respectfully; this state is derived Eqs. (9)- (13).…”

Section: The Operating Principlementioning

confidence: 99%

“…In the high PWM signal, MOSFET switches cause the malfunction because of short conduction time [10,11]. Compared with a classical buck, boost, and buck-boost circuits, transformer-based converters can achieve higher conversion ratios with lower losses [12,13]. The same feature applies to converters with coupled inductors [14].…”

Section: Introductionmentioning

confidence: 99%

Efficient Topology for DC-DC Boost Converter Based on Charge Pump Capacitor for Renewable Energy System

Malik

Tirth

Ali

et al. 2021

International Journal of Photoenergy

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In an attempt to meet the global demand, renewable energy systems (RES) have gained an interest in it due to the availability of the resources, especially solar photovoltaic system that has been an importance since many years because of per watt cost reduction, improvement in efficiency, and abundant availability. Photovoltaic system in remote and rural areas is very useful where a grid supply is unavailable. In this scenario, power electronic converters are an integral part of the renewable energy systems particularly for electronic devices which are operated from renewable energy sources and energy storage system (fuel cell and batteries). In this article, a new topology of charge pump capacitor (CPC) which is based on high voltage gain technique DC-DC boost converter (DCBC) with dynamic modeling is proposed. To testify the efficacy of the introduced topology, a prototype has been developed in a laboratory, where input was given 10VDC and 80VDC output voltage achieved at the load side. Furthermore, the experimental result shows that the voltage stress of MOSFET switches is very less in comparison with the conventional boost converter with the same parameters as the proposed converter.

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“…This operation also involves automatic reconnecting, or intervention of the operator to reclose the DG connection with the grid after the abnormality is cleared. All these operations require the system to be equipped with an accurate islanding detection mechanism [27][28][29] and a robust and smooth seamless transition control infrastructure. Based on these control models, the islanding detection, control, and grid resynchronization process are achieved through various modifications and by developing the intelligent control approaches in Section 4.…”

Section: System Configuration and Model Derivationmentioning

confidence: 99%

Intelligent Transition Control between Grid-Connected and Standalone Modes of Three-Phase Grid-Integrated Distributed Generation Systems

et al. 2021

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This paper proposes an intelligent seamless transition controller for smooth transition between grid-connected (GC) and standalone modes of distributed generation (DG) units in the grid. The development of this seamless controller contributes to two main processes in the transition modes: the synchronization process and an islanding process. For the synchronization process, the stationary reference frame phase-locked loop (SRF-PLL) associated with the voltage source inverter (VSI) is modified using the frequency, voltage deviation, and phase angle information. Furthermore, the islanding process is classified as intentional and unintentional islanding scenarios for achieving efficient transition control. Here, the intentional islanding process is achieved with the information that is available in the system due to the planned disconnection. For the unintentional islanding process, a fuzzy inference system (FIS) is used to modify the conventional droop control using the information of change in active power, voltage, and frequency. To identify the action of the proposed approach during the transition process, numerical simulations are conducted with the hardware-in-loop (HIL) simulator by developing a 10kWp three-phase grid-connected DG system. The results identified the efficient control of the VSI for both islanding and grid connection processes. In the islanding conditions, the proposed controller provides advantage with less detection and disconnection time, and during synchronization, it instantly minimizes the phase-angle deviation to achieve efficient control.

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Data Description Technique-Based Islanding Classification for Single-Phase Grid-Connected Photovoltaic System

Cited by 13 publications

References 38 publications

Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation

Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation

Efficient Topology for DC-DC Boost Converter Based on Charge Pump Capacitor for Renewable Energy System

Intelligent Transition Control between Grid-Connected and Standalone Modes of Three-Phase Grid-Integrated Distributed Generation Systems

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