Passive Islanding Detection Techniques Using Synchrophasors for Inverter Based Distributed Generators

Ganivada, Phanindra Kumar; Jena, Premalata

doi:10.1109/gtdasia.2019.8715902

Cited by 11 publications

(4 citation statements)

References 14 publications

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“…The main advantage of this method includes easiness to implement, the high computational controller is not required, no effect on the power system in the form of power quality, short time required to detect, and low cost is required to achieve and maintain. The drawbacks of this method include the large size of the non-detection zone, which makes it in-efficient in the multiple inverter network [36,37]. The parameters mostly used to detect islanding using the passive method are over/under voltage, over/under frequency, total harmonic distortion, harmonics in voltage, harmonics in current, and phase shift in voltage.…”

Section: Detection Using Passive Schemementioning

confidence: 99%

RES Based Islanded DC Microgrid with Enhanced Electrical Network Islanding Detection

et al. 2021

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An electrical islanding detection method for DC microgrid (MG) is proposed in this paper. Unlikely conventional AC MG system protection has been challenging for the DC MG system. The goal of the proposed scheme is to detect the islanding intelligently within the agent nodes. The proposed islanding detection technique detects the electrical link failure intelligently, and if any electrical link failure occurs, then the proposed technique maintains the MG operation and load sharing. Islanding detection is carried out using an injection signal and utilizes the existing communication network to check network connectivity. After checking the network connectivity, all the nodes maintain the look-up table of the connected network. This research work illustrates that the proposed electrical islanding detection technique is effective in maintaining the DC MG operation in the case of an electrical islanding/link failure scenario. The proposed scheme’s performance is checked through MATLAB/Simulink for the detection of islanding and maintaining the operation.

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Section: Detection Using Passive Schemementioning

confidence: 99%

RES Based Islanded DC Microgrid with Enhanced Electrical Network Islanding Detection

et al. 2021

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“…Different methods for islanding detection have been developed in recent years [ [9]- [26]], among them are passive techniques [[13]- [18]], active techniques [[19]- [22]], hybrid techniques [[23]- [24]], and other notable solutions [ [25]- [26]]. No island protection system is fully reliable and all methods have their advantages and disadvantages [[27]- [28]], mostly based on dependability and security, operating time, impact on grid, cost, and adaptability to grid characteristics [ [28]].…”

Section: Review Of Anti-islanding Conformity Assessmentsmentioning

confidence: 99%

Microgrid Application of Four-Leg Three-phase Inverter

Silva¹,

Ferreira²,

Miranda³

et al. 2020

IJAERS

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The On-grid inverters use energy from DC sources to feed AC consumers, and also the main grid whenever there is a surplus of energy, as distributed energy resources. A caveat of on-grid inverters generally implied by worldwide electrical standards imposes that whenever a fault occurs on the main grid, local generation must be shut off to prevent unintentional islanding. However, there are some applications where distributed resource systems could improve reliability, and on-grid inverters with off-grid function can continue to operate even when grid power outages occur, known as intentional islanding. Today's micro-grids have better sensing capabilities and superior semiconductor technologies that allow faster response times and higher maximum ratings, improving micro-grid equipment isolation and control capabilities. In this paper, we review anti-islanding tests performed on on-grid inverters with off-grid function in Brazil for conformity assessments and present a case study of a 20 kW hybrid inverter.

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“…Here 𝑟 𝑜𝑛 =0.88 mΩ, R=0.75 mΩ, inductive reactance L is 80 mH and 𝜔 𝑂 is the nominal frequency of 60 Hz. The gain of the proportional-integral (PI) controller can be determined by using (7). Here 𝜏 𝑖 is the time constant and its value depends on the system requirement.…”

Section: A Dq-frame Current Controllermentioning

confidence: 99%

Anti-Islanding Method for Houses Equipped with Electric Vehicles and Photovoltaic System

Irshad

Rafique

Hossain

et al. 2020

2020 2nd International Conference on Smart Power &Amp; Internet Energy Systems (SPIES)

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Integration of electric vehicles (EVs) are exponentially increasing in the global market and by enabling vehicle-to-grid (V2G) EVs can inject power back into the grid. However, in an event of unintentional islanding, injecting power into the grid may causes potential safety threats to people, equipment, and power system. This paper proposes an adaptive reactive power mismatch method to detect islanding events. When islanding occurs, the proposed method drifts the system frequency away from the nominal value. Then the islanding event is detected based on frequency variations. Results show that the proposed method effectively detects islanding event in all conditions and negligible non detection zone. Moreover, it can detect islanding within 0.801 milliseconds

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Passive Islanding Detection Techniques Using Synchrophasors for Inverter Based Distributed Generators

Cited by 11 publications

References 14 publications

RES Based Islanded DC Microgrid with Enhanced Electrical Network Islanding Detection

RES Based Islanded DC Microgrid with Enhanced Electrical Network Islanding Detection

Microgrid Application of Four-Leg Three-phase Inverter

Anti-Islanding Method for Houses Equipped with Electric Vehicles and Photovoltaic System

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