Droop control modelling and analysis of multi-terminal HVDC for offshore wind farms

Wang, W.; Barnes, Mike; Marjanović, Ognjen

doi:10.1049/cp.2012.1963

Cited by 48 publications

(35 citation statements)

References 5 publications

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“…A comparison of (12) and (13) shows that this model naturally leads to a simplified version of the rational formulation from (12) with d = 0, e = 0 and…”

Section: Vector Fitting Of Series Impedance Elementsmentioning

confidence: 99%

“…However, VSC HVDC systems are characterised by faster control loops and system dynamics. This has triggered research efforts in small-signal modelling and analysis of VSC HVDC systems during the last decade [10][11][12][13][14][15]. The focus has largely been on model development for interaction studies with the surrounding ac grid, whilst incorporating the dynamics of the ac-and dc-sides of the HVDC converter station.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it has been common practice to undertake small-signal stability studies with the dc cables represented as either a single pi-equivalent circuit [10][11][12]15] or by multiple pi-equivalent circuits [13,14].…”

Section: Introductionmentioning

confidence: 99%

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Frequency‐dependent cable modelling for small‐signal stability analysis of VSC‐HVDC systems

Beerten

D’Arco

Suul

2016

IET Generation, Transmission & Distribution

110

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State-of-the-art time-domain models of power cables account for the frequency dependency of physical parameters to enable accurate transient simulations of high voltage transmission schemes. Due to their formulation, these models cannot be directly converted into a state-space form as required for small-signal eigenvalue analysis. Thus, dc cables are commonly represented in HVDC power system stability studies by cascaded pi-section equivalents that neglect the frequency-dependent effects. This paper demonstrates how the conventional cascaded pi-section model is unable to accurately represent the damping characteristic of the cable and how this can lead to incorrect stability assessments. Furthermore, an alternative model consisting of cascaded pi-sections with multiple parallel branches is explored, which allows for a state-space representation while accounting for the frequency dependency of the cable parameters. The performance of the proposed model is benchmarked against state-of-the-art cable models both in the frequency domain and in the time domain. Finally, the paper provides a comparative example of the impact of the cable modelling on the small-signal dynamics of a point-to-point VSC HVDC transmission scheme.

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“…A comparison of (12) and (13) shows that this model naturally leads to a simplified version of the rational formulation from (12) with d = 0, e = 0 and…”

Section: Vector Fitting Of Series Impedance Elementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Frequency‐dependent cable modelling for small‐signal stability analysis of VSC‐HVDC systems

Beerten

D’Arco

Suul

2016

IET Generation, Transmission & Distribution

110

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“…A review of MTDC control methods is given in [14]. Generally speaking, these methods can be categorised as centralised DC slack bus, voltage margin control, droop control or a combination of the aforementioned control methods.…”

Section: B Vsc Controlsmentioning

confidence: 99%

HVDC grid control system based on autonomous converter control

Barnes¹,

Beddard²,

Barker³

et al. 2016

8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)

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In this paper, the main layers of a HVDC control architecture based on autonomous converter control have been implemented and a range of tests have been conducted to assess the system's steady-state and transient performance.The simulation results show that the control system is able to accurately control DC power flow in steady-state and to maintain grid stability for fast transient events without exceeding the dynamic operating limits.

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“…A linearized small-signal model of the system configuration in per unit (p.u.) is developed for Found in [12], [13], [14], [15], [16], [17], [18], [19] and [20]. Does not include a PI controller.…”

Section: A Reference Test Casementioning

confidence: 99%

Stability of DC voltage droop controllers in VSC HVDC systems

Thams

Suul

D’Arco

et al. 2015

2015 IEEE Eindhoven PowerTech

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Abstract-Future multi-terminal HVDC systems are expected to utilize dc voltage droop controllers and several control implementations have been proposed in literature. This paper first classifies possible dc droop implementations in a simple framework. Then, the small-signal stability of a VSC-based converter station is analyzed for all the identified droop control schemes. The stability range for the system is determined as a function of the droop gain and is used to compare the flexibility and robustness of the implementations. The comparisons reveal that the droop implementations based on the ac current and dc voltage achieve a wider stability region than the other schemes and a limited sensitivity to the droop gain.

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Droop control modelling and analysis of multi-terminal HVDC for offshore wind farms

Cited by 48 publications

References 5 publications

Frequency‐dependent cable modelling for small‐signal stability analysis of VSC‐HVDC systems

Frequency‐dependent cable modelling for small‐signal stability analysis of VSC‐HVDC systems

HVDC grid control system based on autonomous converter control

Stability of DC voltage droop controllers in VSC HVDC systems

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