Locking Frequency Band Detection Method for Islanding Protection of Distribution Generation

Mazhari, Iman; Jafarian, Hamidreza; Enslin, J.H.R.; Bhowmik, Shibashis; Parkhideh, Babak

doi:10.1109/jestpe.2017.2698446

Cited by 17 publications

(9 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present technique has been tested using both standards. Apart from the speed, the proposed technique does not need OVP/UVP or OFP/UFP [13,16,19]. The technique does not affect the power quality as much: in [13], the THD is higher than that obtained with the presented technique.…”

Section: Simulation Of the Pvs With The Islanding Detection Module Usmentioning

confidence: 90%

“…Nevertheless, its implementation is quite simple. It can be the simplest and cheapest active method among the five, at the opposite of [19] which need precise and robust PLL to extract the main criterion of that technique. Moreover, filtering operations can go on, and remote signals transmission or perturbation in the grid could trigger false islanding detection.…”

Section: Simulation Of the Pvs With The Islanding Detection Module Usmentioning

confidence: 99%

“…This is normal, considering (15). Equations (18) and (19) give the images of output voltage for two inverters operating (with Δφ = 0 or π). The sidebands tend to cancel themselves when operating together, and we get residual values at PCC.…”

Section: Simulation Of the Pvs With The Islanding Detection Module Usmentioning

confidence: 99%

“…The presence of loops slows down the detection process [3,5], especially when the monitoring variable is the frequency [13]. The time needed for islanding detection can go up to ten electrical cycles [13,[17][18][19]. The most recent passive method, based on the ripple spectral content of the voltage at the PCC, detects islanding within 300 ms (18 electrical cycles) [20].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A new approach for islanding management in PV system using frequency modulation technique and simple adaptive load shedding algorithm

2019

View full text Add to dashboard Cite

One of the main challenges in distributed generation is to keep supplying some priority loads when islanding occurs. Unfortunately, most anti-islanding protection (AIP) methods fail in islanding detection if the demand in the islanded loads matches the production in the island. Many active AIP schemes are too slow and cause power quality problems. In this paper, an islanding detection method for inverter-based photovoltaic system (PVS) is presented, operating with a simple adaptive loads shedding algorithm. This method is based on modulating the inverter output voltage at the point of common coupling. This frequency modulation consists in introducing interharmonics as side bands of the inverter voltage. After islanding detection, the adaptive loads shedding algorithm operates so as to keep powered priority loads as possible. AIP scheme and PVSs are implemented in MATLAB/Simulink environment. The effectiveness of the proposed scheme was tested and evaluated under a wide range of operating conditions. These tests determined that the proposed technique does not exhibit any non-detection zone and detects islanding within five electric cycles. No significant effect on power quality is recorded even during islanding detection time. The proposed technique was also robust and more independent of system parameters than some others.

show abstract

Section: Simulation Of the Pvs With The Islanding Detection Module Usmentioning

confidence: 90%

Section: Simulation Of the Pvs With The Islanding Detection Module Usmentioning

confidence: 99%

Section: Simulation Of the Pvs With The Islanding Detection Module Usmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A new approach for islanding management in PV system using frequency modulation technique and simple adaptive load shedding algorithm

2019

View full text Add to dashboard Cite

show abstract

“…These methods usually inject a perturbation into the system and monitor the output power variations, active frequency drifts, and phase of the voltage at a point of common coupling (PCC) in islanding mode [27]. The dominant active techniques includes active frequency drift (AFD) [28], second harmonic drift [29], frequency jump [30], locking frequency band [31], active frequency drift with positive feedback [32], high frequency signal injection [33], and current injection [34,35]. Despite their effectiveness in islanding detection, active techniques need to continuously vary the DG output, which negatively affects power quality (PQ) and speed of detection while compromising the reliability of islanding detection at the PCC.…”

Section: Introductionmentioning

confidence: 99%

Microgrid Islanding Detection Based on Mathematical Morphology

et al. 2018

View full text Add to dashboard Cite

Voltage and frequency stability are highly important for reliable performance of smart grids. In grid-connected mode, the utility controls these parameters, but when islanding occurs these parameters exceed their limits, which may result in irreparable damage to the system. This paper presents a time-domain approach which uses basic mathematical morphology (MM) operators, dilation and erosion filters, for microgrid islanding detection. The proposed method applies a dilation-erosion differential filter (DED) of the RMS signal (DEDFOR) at the point of common coupling (PCC) in a micro-grid connected to distributed generations (DGs). To evaluate the performance of the proposed approach, it is tested and compared with existing techniques in the literature under various conditions such as capacitor bank switching and motor starting. The results verify the accuracy and efficiency of the proposed technique for islanding detection under different operating conditions and various power mismatches.

show abstract

Machine Learning k-Means Cluster Support S-FSCV Algorithm to Estimate Integrated Network Operating State

Reddy

2022

Arab J Sci Eng

View full text Add to dashboard Cite

Locking Frequency Band Detection Method for Islanding Protection of Distribution Generation

Cited by 17 publications

References 23 publications

A new approach for islanding management in PV system using frequency modulation technique and simple adaptive load shedding algorithm

A new approach for islanding management in PV system using frequency modulation technique and simple adaptive load shedding algorithm

Microgrid Islanding Detection Based on Mathematical Morphology

Machine Learning k-Means Cluster Support S-FSCV Algorithm to Estimate Integrated Network Operating State

Contact Info

Product

Resources

About