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IN

DEGREE PROJECT TECHNOLOGY, FIRST CYCLE, 15 CREDITS

STOCKHOLM SWEDEN 2018,

Operation and Control of HVDC Grids

ADAM BIANCHI

GABRIEL NYLANDER

KTH ROYAL INSTITUTE OF TECHNOLOGY

SCHOOL OF ARCHITECTURE AND THE BUILT ENVIRONMENT

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Högspända likströmsnät spelar en allt större roll med att integrera förnyelsebar energi i våra elnät. För att styra dessa nät på bästa möjliga sätt krävs optimala omvandlar- och nätkontrollstrategier. I detta projekt studeras hur ett fyrterminalt högspänt likströmsnät kan styras och drivas genom att implementera olika omvandlar- och nätkontrollstrategier. De nätkontrollstrategier som studerats är centraliserad spänningskontroll och distribuerad spänningskontroll med och utan ett spänningsintervall. Alla simuleringar har utförts i programmet PSCAD.

Olika fel i nätet har även studerats för att undersöka hur effektflödet och spänningsnivån påverkas. Ett optimalt värde på både spänningsintervallet och droop konstanten har identifierats. Dessutom har resultat som indikerar att centraliserad spänningskontroll inte är en lämplig nätkontrollstrategi erhållits, medan distribuerad

spänningskontroll med och utan spänningsintervall är det. Felsimuleringarna påvisar ingen skillnad mellan distribuerad spänningskontroll med och utan spänningsintervall. Effektflödet och spänningsnivån är identiska för alla fel.

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N1: HVDC GRIDS

Operation and Control of HVDC Grids

Adam Bianchi and Gabriel Nylander

Abstract—Meshed high-voltage direct current grids are be- coming an increasingly important technology for integrating renewable energies into the power system. To control the grids in the best possible way, optimal converter and grid control strategies are needed. This project studies how a four-terminal high-voltage direct current grid is operated and controlled by implementing different grid and converter control strategies. The grid control strategies examined are centralized voltage control and distributed voltage control with and without deadband.

Simulations are made in the software PSCAD. Different fault types on the grid are studied to investigate how the power flow and voltage level are affected. An optimal value for both the deadband width and droop constant has been identified.

Moreover, the results indicate that centralized droop control is not a suitable grid control strategy, whereas distributed voltage control with and without deadband are. The fault study indicates no differences between distributed voltage control with and without deadband. The power flow and voltage levels are identical for all fault types.

I. INTRODUCTION

Renewable energies play an increasingly important part of the world’s energy mix. To mitigate the effects of global warm- ing, the world needs to transition to a low-carbon economy.

In this new era, renewable power production will play a key role. However, the integration of renewable power sources in the energy system imposes large technical challenges for the grid. The future energy system will need to transmit more electricity and at the same time endure the volatility that comes with renewable power production. Since renewable power production from wind farms and photovoltaic plants are weather-dependent, a constant power flow is not possible [1].

High-voltage direct current (HVDC) grids are a possible solution to this challenge. Today, HVDC technology is used for the interconnection of asynchronous grids and for linking offshore wind power (OWP) plants to the mainland alternating current (AC) grids [2]. HVDC technology is superior to the more traditional AC technology when the distance between OWP plants and the mainland is great; power losses are considerably smaller as well as the investment costs [3].

HVDC transmission has been used commercially since the mid-20th century but only in point-to-point connections [3].

Since then, a new generation of more advanced converters with lower losses has been developed. This has led to the possibility of building HVDC grids, which enable a more stable power flow and a more efficient use of the grid since the production is spread out and the variability in renewable energy is less noticeable compared to point-to-point transmission [4]. During periods of low production from intermittent renewable power plants, the HVDC grid can still be used for electricity trading.

There are plans for a DC supergrid in Europe that should interconnect to several points in the already existing AC grids.

This has the potential of increasing the reliability of the grid

and at the same time integrate large volumes of wind and solar power into the grid [5]. There is a tremendous untapped potential of OWP in the North Sea and a vast amount of solar power in the south of Europe and Africa [5].

Two different types of converters are used for HVDC transmission: line-commutated converters (LCC) and voltage- source converters (VSC). Since VSC uses fully controlled power semiconductor switches such as insulated gate bipolar transistors (IGBT), an independent AC voltage waveform can be created. This is not the case for LCC. For this reason, VSC is a better option when it comes to connecting the DC grid to weak and passive systems making it the best choice when connecting to OWP plants. VSC also offers, contrary to LCC, black start capability, which means it can restore the power without the aid of an external power source [6]. For these reasons, VSC technology is better suited for multi-terminal operations [7].

The aim of this project is to study how a four-terminal HVDC grid is operated and controlled. Different converter and grid control strategies have been carried out as to compare the effect they have on the power flow and voltage. Line and converter faults have been simulated to determine how the grid reacts and which control strategy is the most suitable. For this project, the simulations have been conducted in the power system simulation software PSCAD in a four-terminal model presented in [8]. The model contains two converters connected to OWP and two converters connected to the mainland AC grid.

II. DCGRID CONTROL

To control the HVDC grid, different converter and grid control strategies have been implemented. They are described in the following section.

A. Converter control strategies

1) Voltage droop control: Voltage droop control is a con- verter control strategy that establishes a proportional relation- ship between the voltage and power in the grids as can be seen in Fig. 1.

Rectifier

1 -1

Udc

Pdc Inverter

DV

Fig. 1. Relationship between the voltage and power in voltage droop control.

By changing the power in the grid, a set voltage can be achieved [3]. The relationship between power and voltage can

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be written as

∆Pdc= 1

DV ∆Udc. (1)

In (1), DV represents the droop value. ∆Pdcand ∆Udcare the power and voltage deviations from their individual setpoints [3]. As can be seen in (1), the lower the droop value, the more the converter will change its power output to compensate for the change in voltage.

2) Constant power control: Constant power control is used when a constant power is required regardless of the value of the DC voltage. By inserting an infinite value as droop constant in (1), no change in power occurs when the voltage changes.

The converter instead tries to maintain a constant power [1].

3) Deadband droop control: Deadband droop control is a mixture of constant power control and voltage droop control.

When the voltage is within a certain interval, the converter operates in power control mode and tries to maintain a constant power [9]. If the voltage is outside the deadband, the converter switches to voltage droop control and tries to bring the voltage back to its setpoint by changing the power [3].

B. Grid control strategies

1) Centralized voltage control: Centralized voltage control is based on how a VSC HVDC point-to-point connection is operated [3]. When it is applied, one converter operates in constant voltage control and therefor works as a DC slack bus.

This means only one converter operates towards achieving the voltage setpoint in the grid [10]. Centralized droop control is good at controlling active power at the power controlling converters and the voltage in the grid [3]. This grid control strategy only works if the disturbances are relatively small [10]. One big problem with this kind of control strategy is how the grid handles faults. A fault on the DC slack bus converter would result in extensive disturbances in the grid [11]. Since this converter is set to handle the whole fault, it needs to be the largest in order to handle the fault. The DC slack converter also needs to be connected to a strong point on the AC grid to make sure the power surge is taken care of [3]. These things make centralized voltage control not suitable for meshed DC grids.

2) Distributed voltage control: Instead of having only one converter that controls the DC voltage in the grid as in centralized voltage control, distributed voltage control applies voltage droop control to several converters [10]. The converters who are not in voltage droop control, are in constant power control. The converters share in controlling the DC voltage can be altered by changing the droop value [3]. A small droop value results in a larger contribution from the converter compared to a high droop value. By distributing the voltage control to more than one converter, the DC grid can always be safely operated regardless of a fault in any converter [3].

III. MODEL AND METHOD

A. Model

Data has been obtained by simulations in the software PSCAD. The HVDC grid model described in [8] has been used for this project and is shown in Fig. 2.

~ =

~ =

=

=

~

~

MMC 1

700 MW 700 MW

600 MW 800 MW

100 km

100 km 200 km

MMC 3

MMC 2

MMC 4 OWP

GridAC AC

Grid OWP Link 12

Link 34 Link 13

200 km Link 14 150 Link km24

Fig. 2. Four-terminal HVDC grid test system [8].

The converters implemented in the model are modular multi-level converters (MMCs). MMC 1 and 2 operate as rectifiers and are connected to OWP plants. MMC 3 and 4 operate as inverters and are connected to AC grids. The length of the lines and power ratings of the MMCs can be seen in Fig. 2. Each end of a transmission line includes a DC breaker at the positive and negative pole of the line [8].

The converter control system consists of an outer and inner control loop. The outer controllers take care of the active and reactive power flow. In this project, only the active power controller has been studied. The converter control strategies are enabled after 0.8 s since the grid is stable at this point and all MMCs have been activated. The inner controller consists of a positive and negative sequence current controller. The reference for the inner controller is provided by the outer controller.

When a fault occurs on an MMC, the MMC is blocked by an implemented converter protection scheme. The protection mechanism is shown in Fig. 3. For the MMC to block, either the voltage needs to be below 32 kV or the current to exceed 2 kA.

Fig. 3. Converter protection scheme [8].

As explained in Section II, different control strategies have been used to control the DC grid. These strategies have been implemented inside the four converters. The control mecha- nism of the converter is shown in Fig. 4. The droop constant DV establishes whether the controller is in constant power control, voltage droop control or DC voltage control (slack), see Table I. If DV equals infinity, the power output is constant.

On the other hand, if the droop constant is 0 ≤ DV < ∞ , the power changes until the nominal DC voltage has been reached.

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N1: HVDC GRIDS

Fig. 4. Active power control of the converter.

TABLE I

DROOP CONSTANT FOR CONSTANT POWER CONTROL,VOLTAGE DROOP CONTROL ANDDCVOLTAGE CONTROL(SLACK).

DV

Constant power control Voltage droop control 0 < DV < ∞ Constant voltage control 0

B. Method

The following section explains how the grid and converter control strategies have been implemented in the model. More- over, the fault simulations are described.

The grid control strategies examined are centralized volt- age control and distributed voltage control with and without deadband. For centralized voltage control, MMC 3 operates in constant voltage control. The other MMCs are in constant power control mode. For distributed voltage control, MMC 3 and 4 operate with voltage droop control or deadband droop control, whereas MMC 1 and 2 are in constant power control mode.

For distributed voltage control, various droop constants are simulated to identify the value resulting in the most stable grid.

The deadband droop control is incorporated in the PSCAD model by adjusting the active power controller. Since voltage deviations over a certain threshold are undesired, but constant power is desired for as long as possible, various deadband widths are tested, and an optimal value is identified.

A fault on MMC 1 and two fault types on DC link 13 have been simulated. Fault types treated are pole-to-ground and pole-to-pole faults. The MMC faults are simulated by short-circuiting the positive and negative pole of the MMC bus. Faults on DC link 13 and MMC 1 are initiated at 1.25 s and remain for the rest of the simulation. For every fault type, distributed voltage control with both deadband and voltage droop control are simulated. The data is collected when the grid is in steady state both before and after a fault. Centralized voltage control is not part of the fault study due to power oscillations in steady state, see Section IV.

The obtained results were discussed with a research expert from a leading manufacturer of HVDC transmission technol- ogy. The discussion helped establishing an optimal deadband

width and understanding the fault simulation results.

IV. SIMULATION RESULTS

In this section, the simulation results for centralized voltage control and distributed voltage control with and without dead- band are presented. Moreover, the results of the fault studies are shown.

A. Centralized voltage control

The simulation of centralized voltage control is depicted in Fig. 5. The droop constant is set to 10−8 due to numerical reasons in PSCAD. The results show oscillations once the droop is activated after 0.8 s.

0 0.5 1 1.5 2 2.5

Time [s]

-400 -300 -200 -100 0 100 200 300 400 500 600

Power [MW]

DC Link 12 DC Link 13 DC Link 14

DC Link 24 DC Link 34

Fig. 5. HVDC grid power flow with droop value 10−8and centralized voltage control.

B. Distributed voltage control

Different droop values are simulated to find out which value results in the most stable grid. In Fig. 6 and Fig. 7 two of these simulations are shown. One key finding is that a droop value of 0.05 results in higher oscillations than a droop value of 0.2.

It takes more time for the power to reach steady state with the droop value 0.05 than with 0.2. The simulations show that a droop value of 0.2 results in the most stable grid with the lowest settling time.

C. Distributed voltage control with deadband

To determine the optimal deadband, multiple simulations are executed. Two of these are presented in Fig. 8 and Fig. 9.

Fig. 8 depicts the simulation of the grid when the deadband is

±1 % and Fig. 9 when it is ±10 %. As can be seen in Fig. 9, the power is constant until the voltage drops to below 10 % of the reference value. Consequently, MMC 3 and 4 switch from

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0 0.5 1 1.5 2 2.5 Time [s]

-400 -300 -200 -100 0 100 200 300 400 500 600

Power [MW]

DC Link 12 DC Link 13 DC Link 14

DC Link 24 DC Link 34

Fig. 6. HVDC grid power flow with droop value 0.2 and distributed voltage control.

0 0.5 1 1.5 2 2.5

Time [s]

-400 -300 -200 -100 0 100 200 300 400 500 600

Power [MW]

DC Link 12 DC Link 13 DC Link 14

DC Link 24 DC Link 34

Fig. 7. HVDC grid power flow with droop value 0.05 and distributed voltage control.

operating in constant power control to voltage droop control and increases the voltage back to its minimum requirement.

On the other hand, when the deadband is set to ±1 % MMC 3 and 4 immediately switch into voltage droop control to adjust the voltage and thereafter switches to constant power control and remains in it for the rest of the simulation. This can be seen by looking at the constant power output from all links in Fig. 8.

0 0.5 1 1.5 2 2.5

Time [s]

-400 -300 -200 -100 0 100 200 300 400 500 600

Power [MW]

DC Link 12 DC Link 13 DC Link 14

DC Link 24 DC Link 34

Fig. 8. HVDC grid power flow with droop value 0.2 and distributed voltage control with ±1 % deadband.

0 0.5 1 1.5 2 2.5

Time [s]

-400 -300 -200 -100 0 100 200 300 400 500 600

Power [MW]

DC Link 12 DC Link 13 DC Link 14

DC Link 24 DC Link 34

Fig. 9. HVDC grid power flow with droop value 0.2 and distributed voltage control with ±10 % deadband.

In Table II, the voltage of the DC grid at 1 and 2 s can be observed for deadband voltage control with ±1 % and ±10 % deadband. The voltage for the simulation with ±1 % deadband does not result in any large voltage deviation. A discrepancy of approximately 2 kV occurs on all 5 DC links. For the simulation with ±10 % deadband, MMC 3 and 4 switch into voltage droop control when the voltage deviation reaches 10 %.These findings correlated well with what a research

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N1: HVDC GRIDS

1 2

3 4

496.6

341.7

558.0

299.9 489.7

338.1 297.2

78.9 78.2

0.5618.3 0.4

780.2 785.0

769.7 612.3

776.4

139.6 140.7

553.4

(a) Pole-to-ground fault with voltage droop control.

1 2

3 4

495.9

342.0

558.1

297.1 489.0

338.4 295.4

80.5 79.8

0.4616.8 0.4

771.4 776.1

766.4 610.7

773.2

139.3 140.4

553.5

(b) Pole-to-ground fault with deadband droop control.

1 2

3 4

496.6

341.7

558.0

299.9 489.7

338.1 297.2

231.9 232.4

0.6231.2 0.6

356.6 358.3

461.8 229.9

464.9

139.6 140.7

553.4

(c) Pole-to-pole fault with voltage droop control.

1 2

3 4

495.9

342.0

558.1

297.1 489.0

338.4 295.4

231.9 232.5

0.6231.2 0.6

356.6 358.3

461.8 229.9

464.9

139.3 140.4

553.5

(d) Pole-to-pole fault with deadband droop control.

Fig. 10. Steady state power flow before (black arrows) and after (grey arrows) a fault on DC link 13. Crosses show which breakers trips and which MMCs block.

expert from a leading manufacturer of HVDC transmission technology conveyed [12].

TABLE II

DCLINK VOLTAGES AFTER1S AND2S WITH DEADBAND DROOP CONTROL.

Deadband ±1 % Deadband ±10 % after

1 s [kV]

after 2 s [kV]

after 1 s [kV]

after 2 s [kV]

DC link 12 639.1 637.0 618.3 586.7 DC link 13 638.8 636.5 617.7 586.1 DC link 14 638.8 636.7 617.8 586.6 DC link 24 639.4 637.3 618.7 587.2 DC link 34 633.4 632.0 612.6 583.8

1) Pole-to-ground fault: In Fig. 10a and Fig. 10b the results for a pole-to-ground fault are shown. For the simulation illus- trated in Fig. 10a, the grid control strategy used is distributed voltage control with 0.2 as droop constant. Fig. 10b illustrates a distributed voltage control simulation with a deadband of

±1 % on MMC 3 and 4. For both control methods DC link 13

is isolated because the breakers on both sides of the link trip.

The steady state power flow is practically identical. Table III presents the link voltages, which are the same regardless of the control strategy. The differences before and after the fault are small. The voltage on DC link 34 diminishes instead of increasing like the voltage on the other links.

TABLE III

STEADY STATEDCLINK VOLTAGES BEFORE AND AFTER A POLE-TO-GROUND FAULT ONDCLINK13.

Droop Deadband

before [kV] after [kV] before [kV] after [kV]

DC link 12 640.9 643.2 637.7 640.9

DC link 13 641.0 643.0 637.6 640.6

DC link 14 640.8 642.3 637.4 639.9

DC link 24 641.3 641.9 638.0 639.5

DC link 34 637.4 633.7 633.8 631.2

2) Pole-to-pole fault: Fig. 10c and Fig. 10d shows the re- sults for a pole-to-pole fault. In Fig. 10c distributed voltage

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1 2

3 4

496.6

341.7

558.0

299.9 489.7

338.1 297.2

0.0 0.3

0.00.0 2.4

14.2 14.9

0.5 1.2

0.0

139.6 140.7

553.4

(a) Voltage droop control

1 2

3 4

495.9

342.0

558.1

297.1 489.0

338.4 295.4

0.0 0.3

0.00.0 2.4

14.2 14.9

0.5 1.2

0.0

139.3 140.4

553.5

(b) Deadband droop control

Fig. 11. Steady state power flow before (black arrows) and after (grey arrows) a fault on MMC 1. Crosses show which breakers trip and which MMCs block.

control with droop control on MMC 3 and 4 is used, and in Fig. 10d MMC 3 and 4 have a deadband of ±1 % in addition to the droop control. For both control methods MMC 1 blocks and DC link 13 is isolated due to the breakers on both sides tripping. The steady state power flow is practically the same.

Table IV shows that differences in the DC link voltages before and after the fault are small. The DC voltage on DC link 34 diminishes instead of increasing like the voltage on the other DC links. Table IV shows that the DC link voltages reaches the exact same values regardless of the control strategy. All voltages decrease by approximately 54 kV.

D. Fault on MMC 1

Fig. 11a and Fig. 11b depicts the steady state of the grid for both voltage and deadband voltage control before and after a fault on MMC 1. The results are identical. MMC 1 and 2 block and all DC breakers on the MMC 1 side of the links trip. The breaker on the MMC 2 side of DC link 12 also trip.

TABLE IV

STEADY STATEDCLINK VOLTAGES BEFORE AND AFTER A POLE-TO-POLE FAULT ON LINK13.

Droop Deadband

before [kV] after [kV] before [kV] after [kV]

DC Link 12 640.9 585.7 637.7 585.7

DC Link 13 641.0 585.5 637.6 585.5

DC Link 14 640.8 586.1 637.4 586.1

DC Link 24 641.3 587.5 638.0 587.5

DC Link 34 637.4 584.2 633.8 584.2

No power is inserted into the DC grid from the OWP plants since MMC 1 and 2 trip. However, there is still a small power flow on DC link 34. Table V shows that the differences in link voltages for both control strategies after the fault are the same. The voltage on the DC links connected to MMC 1 are practically 0 kV and about 570 kV on DC link 24 and 34.

TABLE V

DC LINK VOLTAGES BEFORE AND AFTER A FAULT ONMMC 1.

Droop Deadband

before [kV] after [kV] before [kV] after [kV]

DC Link 12 640.9 0.1 637.7 0.1

DC Link 13 641.0 0.1 637.6 0.1

DC Link 14 640.8 0.1 637.4 0.1

DC Link 24 641.3 572.4 638.0 572.4

DC Link 34 637.4 574.1 633.8 574.1

V. ANALYSIS ANDDISCUSSION

Our findings demonstrate that the droop value greatly affects the grid stability. When the value is less than 0.2, oscillations occur. Therefore, a droop value of 0.2 is used in the simulation because values lower than 0.2 result in oscillations due to the PI-controller not reacting to the change in power fast enough. Tuning the PI-controller was considered to be outside the scope of this project. Furthermore, it leads to the lowest settling time of the acceptable droop values within the range 0.2 ≤ DV ≤ ∞.

In this study, we found that the deadband simulation in steady state results in different impacts on the grid stability.

A value of the deadband larger than ±1 % is not favourable because it leads to large voltage drops. The research expert on HVDC grids confirmed that a deadband wider than ±1 % is not feasible [12]. On the other hand, when the faults are studied no noticeable differences are identified between dis- tributed voltage control with and without deadband. The same breaker tripping and power flow take place. One key finding is consequently that for a four-terminal grid, no noticeable differences in grid power flow occurs whether a deadband is applied or not. The simulations show that centralized voltage control is not a suitable grid control strategy. Oscillations in every DC link appear. This finding confirms the theory presented in Section II.

Regarding future projects, the model can be enlarged to incorporate more terminals to study the impact on the stability

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N1: HVDC GRIDS

compared to the four-terminal grid. Moreover, in the current model the power inserted into the grid is constant, which is not realistic considering the power originates from OWP plants.

Instead, future projects can incorporate a varying power input from the OWP plants and analyse the effects it has on the grid. Finally, more advanced converter control strategies such as undeadband droop control can be implemented in the model like in [3].

VI. CONCLUSION

This project set out to investigate how a four-terminal grid can be operated and controlled using different converter and grid control strategies. The results demonstrate that a droop constant of 0.2 is the most reasonable value for distributed voltage control. The distributed voltage control simulations with deadband leads to the most stable grid when the deadband is set to ±1 % of the voltage setpoint. A higher deadband leads to voltage deviations that might lead to grid instability.

Centralized voltage control is a poor option compared to the other grid control strategies because oscillations occur.

Faults on an MMC and DC link were carried out to find out if the grid control strategies resulted in different power flows and voltage drops. Our findings demonstrate that distributed voltage control with a deadband of ±1 % and a droop value of 0.2 results in the same power flow and voltage drop for a pole-to-ground, pole-to-pole and converter fault. Therefore, we conclude that a deadband does not add any obvious benefits to the grid operation of this four-terminal grid.

ACKNOWLEDGMENT

The authors would like to thank their supervisor Stefanie Heinig for her time and dedication to this project. Without her guidance, this work would have never been accomplished.

Moreover, the authors would like to thank Bertil Berggren for sharing his knowledge of the subject and Ilka Jahn for introducing the PSCAD software.

REFERENCES

[1] J. Beerten, D. Van Hertem, and R. Belmans, “VSC MTDC systems with a distributed DC voltage control - A power flow approach,” in Proc.

IEEE PowerTech, Trondheim, Jun. 2011, pp. 1–6.

[2] T. M. Haileselassie and K. Uhlen, “Precise control of power flow in multiterminal VSC-HVDCs using DC voltage droop control,” in Proc.

IEEE Power and Energy Society General Meeting, San Diego, CA, Jul.

2012, pp. 1–9.

[3] J. Beerten, “Modeling and control of DC grids,” Ph.D. dissertation, Faculty of Eng. Science, KU Leuven, Leuven, 2013.

[4] N. Ahmed, S. Norrga, H. P. Nee, A. Haider, D. Van Hertem, L. Zhang, and L. Harnefors, “HVDC SuperGrids with Modular Multilevel Con- verters - the Power Transmission Backbone of the Future,” in Proc. Int.

Multi-Conf. on Syst., Signals and Devices, Chemnitz, Mar. 2012, pp.

1–7.

[5] N. Ahmed, A. Haider, D. V. Hertem, L. Zhang, and H. P. Nee, “Prospects and challenges of future HVDC SuperGrids with modular multilevel converters,” in Proc. 14th European Conf. on Power Electron. and Applicat. (EPE2011), Birmingham, Aug. 2011, pp. 1–10.

[6] L. Livermore, J. Liang, and J. Ekanayake, “MTDC VSC Technology and its applications for wind power,” in Proc. 45th Int. Universities Power Eng. Conf. (UPEC), Aug. 2010, pp. 1–6.

[7] O. E. Oni, I. E. Davidson, and K. N. I. Mbangula, “A review of LCC- HVDC and VSC-HVDC technologies and applications,” in Proc. IEEE 16th Int. Conf. on Environment and Elect. Eng. (EEEIC), Florence, Jun.

2016, pp. 1–7.

[8] W. Leterme, N. Ahmed, J. Beerten, L. ¨Angquist, D. Van Hertem, and S. Norrga, “A new HVDC grid test system for HVDC grid dynamics and protection studies in EMT-type software,” in Proc. 11th IET Int.

Conf. on AC and DC Power Transmission (ACDC 2015), Birmingham, Feb. 2015, pp. 1–7.

[9] J. Beerten and R. Belmans, “A comprehensive modeling framework for dynamic and steady-state analysis of voltage droop control strategies in HVDC grids,” Int. Journal of Elect. Power & Energy Systems, vol. 73, pp. 691–701, 2015.

[10] S. Wenig, Y. Rink, and T. Leibfried, “Multi-terminal HVDC control strategies applied to the Cigr´e B4 DC Grid Test System,” in Proc. 49th Int. Universities Power Eng. Conf. (UPEC), Cluj-Napoca, Sep. 2014, pp. 1–6.

[11] T. M. Haileselassie and K. Uhlen, “Impact of DC line voltage drops on power flow of MTDC using droop control,” IEEE Trans. on Power Syst., vol. 27, no. 3, pp. 1441–1449, Aug. 2012.

[12] B. Berggren, personal conversation, Apr. 12th, 2018.

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