Performance of anti-islanding of an improved reactive power variation method based on positive feedfback

Jo, Jongmin; Cha, Hanju

doi:10.1109/ecce.2017.8096810

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…In Table 2, the performance of the proposed method is compared to the most representative active AI techniques which are the reactive power variation method (RPVM) [35], the adaptive reactive power control (ARPC) [36], and the active cross‐correlation AI scheme (AC 2 AS) [28]. All the compared techniques are classified as active techniques with small variations among them.…”

Section: Comparison With Other Ai Techniquesmentioning

confidence: 99%

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Modified Sandia voltage shift anti‐islanding scheme for distributed power generator systems

Vazquez

Vázquez

Femat

2020

IET power electron.

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This study presents an active anti‐islanding technique for distributed power generator systems. The proposed scheme is based on the Sandia voltage shift (SVS) technique, which is characterised by a small non‐detection zone (NDZ) and by an acceptable solution to the trade‐off between the output power quality and the effectiveness of islanding detection. The proposed technique has the advantage to improve the NDZ and to reduce the anti‐islanding detection times. This is due to the exponential‐product modification made in the positive feedback to inject current, thereby making the response faster than SVS. Additionally, a self‐adaptive gain is considered to achieve a low total harmonic distortion at different power levels. Moreover, the proposed scheme has been validated with theoretical and numerical analysis and experimental results. Finally, the behaviour and performance of the proposed technique are compared with other recent techniques.

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Section: Comparison With Other Ai Techniquesmentioning

confidence: 99%

“…cReactive power variation method based on positive feedback. K RPV = 0.24 (constant gain), P inv = 1.3 kW, V grid = 220 V rms , f o = 60 Hz, Q f = 2.5 (quality factor), PF = 0.9975 (power Factor) [35]. …”

Section: Comparison With Other Ai Techniquesmentioning

confidence: 99%

Modified Sandia voltage shift anti‐islanding scheme for distributed power generator systems

Vazquez

Vázquez

Femat

2020

IET power electron.

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“…This method inserts the PFB perturbation to the reference of slide mode controller to detect islanding. To accelerate the detection process, a novel frequency PFB based scheme is provided in reference 25 by adding the frequency PFB signal to modify the reactive power reference. Reference 26 presents a new frequency PFB scheme by adding a low frequency variable triangular disturbance to the phase shift in order to improve islanding detection and reduce NDZ.…”

Section: Introductionmentioning

confidence: 99%

Trade‐off design ofpositive‐feedbackbased islanding detection

Zheng

Sun

Guo

et al. 2020

Int Trans Electr Energ Syst

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Background: Positive feedback (PFB) based anti-islanding schemes have gained wide popularity in islanding detection. However, the disturbance injected by the PFB methods can easily cause the destabilization of the gridconnected distributed generation (DG) system. Therefore, how to effectively balance the normal operation of the grid-connected system and the effectiveness of the islanding detection is essential. Purpose: In this study, the trade-off design of the PFB control gain is given, where the requirements of grid-tied control and islanding detection are simultaneously considered. Design/Method: Firstly, the small-signal models are established to investigate the stability of a DG system in both islanded and grid-connected mode. Meanwhile, the minimum and maximum PFB gains are obtained by root loci method, thus, the PFB gain can be accurately determined without trial and error. Additionally, the Sensitivity analysis is conducted for the DG system. Factors such as grid impedance, phase-locked loop (PLL) bandwidth, proportional-integral (PI) controller gains, inverter output current rating, and load quality factor are thoroughly taken in account, which provides the guideline of the PFB gain design. Finally, simulations and experiment tests are performed to confirm the theoretical analysis. Results: This paper presents a trade-off design of the PFB control gain for a DG system from the essence of the PFB algorithm. The essence of PFB as well as the cause of the interconnected system instability are revealed. In addition, the minimum and maximum PFB gains are obtained by the stability analysis. Conclusions: A high PFB gain will contribute to the islanding detection but deteriorate the grid-connected system stability. Further, it is found that 1) the maximum PFB gain decreases with the grid impedance increasing, 2) the increase in PLL bandwidth and the integral gain in current loop lead to a decrease in the maximum PFB gain, 3) the minimum PFB gain which reflects

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A novel anti-islanding method using positive feedback reactive power variation

Cha

2020

J. Power Electron.

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Performance of anti-islanding of an improved reactive power variation method based on positive feedfback

Cited by 4 publications

References 8 publications

Modified Sandia voltage shift anti‐islanding scheme for distributed power generator systems

Modified Sandia voltage shift anti‐islanding scheme for distributed power generator systems

Trade‐off design ofpositive‐feedbackbased islanding detection

A novel anti-islanding method using positive feedback reactive power variation

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