Consensus-based improved droop control for suppressing circulating current using adaptive virtual impedance in microgrids

Kim, Sunghyok; Zhang, Huaguang; Sun, Qiuye

doi:10.1109/ccdc.2016.7531790

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…1 a shows the single‐line diagram of a microgrid consisting of two same VSCs. The output voltage of VSCs can be expressed as [34, 35]

E = V_{com} + \frac{X Q}{V_{com}},

and thus

E_{1} - E_{2} = \frac{X_{1} Q_{1} - X_{2} Q_{2}}{V_{com}},

where

V_{com}

is the amplitude of common AC‐bus voltage and X the feeder reactance. Based on (2), this voltage difference can be also expressed as

E_{1} - E_{2} = D_{Q} false(Q_{2} - Q_{1} false) .

…”

Section: Conventional Droop Control Schemementioning

confidence: 99%

“…Thus, the proposed virtual impedance should be regulated in such a way that the coupling between real and reactive power controls and circulating current are reduced. The circulating current between two VSCs with different ratings for the i th VSC is expressed as [35]

I_{CC, i} = k_{I i} \times I_{pu} - I_{i},

where

k_{I}

is the ratio of VSC nominal power to VSC reference power and

I_{pu}

is defined as

I_{pu} = \frac{\sum_{i = 1}^{n} I_{i}}{\sum_{i = 1}^{n} k_{I i}},

where n is the number of DGs. Based on Fig.…”

Section: Proposed Adaptive Complex Virtual Impedance Control Schemementioning

confidence: 99%

See 1 more Smart Citation

Adaptive complex virtual impedance control scheme for accurate reactive power sharing of inverter interfaced autonomous microgrids

Zandi

Fani

Sadeghkhani

et al. 2018

IET Generation, Transmission & Distribution

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“…1 a shows the single‐line diagram of a microgrid consisting of two same VSCs. The output voltage of VSCs can be expressed as [34, 35]

E = V_{com} + \frac{X Q}{V_{com}},

and thus

E_{1} - E_{2} = \frac{X_{1} Q_{1} - X_{2} Q_{2}}{V_{com}},

where

V_{com}

is the amplitude of common AC‐bus voltage and X the feeder reactance. Based on (2), this voltage difference can be also expressed as

E_{1} - E_{2} = D_{Q} false(Q_{2} - Q_{1} false) .

…”

Section: Conventional Droop Control Schemementioning

confidence: 99%

I_{CC, i} = k_{I i} \times I_{pu} - I_{i},

where

k_{I}

is the ratio of VSC nominal power to VSC reference power and

I_{pu}

is defined as

I_{pu} = \frac{\sum_{i = 1}^{n} I_{i}}{\sum_{i = 1}^{n} k_{I i}},

where n is the number of DGs. Based on Fig.…”

Section: Proposed Adaptive Complex Virtual Impedance Control Schemementioning

confidence: 99%

Adaptive complex virtual impedance control scheme for accurate reactive power sharing of inverter interfaced autonomous microgrids

Zandi

Fani

Sadeghkhani

et al. 2018

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

“…The compensation of voltage drop mismatch across the feeders is counteracted by employing communication to facilitate the tuning. In [83], the distributed adaptive VI is employed to suppress large circulating currents caused by the slight differences in both magnitudes and phases in the output voltage of the DG units.…”

mentioning

confidence: 99%

Microgrids/Nanogrids Implementation, Planning, and Operation

2022

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Renewable energy source (RES) based islanded DC microgrid with enhanced resilient control

Shahid

Khan

Hashmi

et al. 2019

International Journal of Electrical Power & Energy Systems

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Consensus-based improved droop control for suppressing circulating current using adaptive virtual impedance in microgrids

Cited by 5 publications

References 22 publications

Adaptive complex virtual impedance control scheme for accurate reactive power sharing of inverter interfaced autonomous microgrids

Adaptive complex virtual impedance control scheme for accurate reactive power sharing of inverter interfaced autonomous microgrids

Microgrids/Nanogrids Implementation, Planning, and Operation

Renewable energy source (RES) based islanded DC microgrid with enhanced resilient control

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