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GRID‐FORMING CAPABILITIES OF HVDC CONVERTERS Overview of concepts, motivations and challenges

Jon Are Suul, Salvatore D'Arco SINTEF Energy Research, Trondheim, Outline

• Power system trends influencing the requirements for power converters control • Grid forming control of power converters • Principles of "grid‐following" vs "grid forming" control • Virtual Synchronous Machines (VSMs) as an example of grid forming control • "Grid‐forming" control vs virtual inertia • Grid forming control of HVDC converters • Motivations and limitations of grid forming functionality in HVDC converter terminals • Examples of results from Power‐Hardware‐in‐the‐Loop (P‐HiL) testing at SINTEF • Summary and open research questions

2 General development trend in power systems

• Increasing presence of power electronic converters • Renewable power generation • Wind turbines, photovoltaic generation etc. • HVDC transmission • Decommissioning of thermal power plants • Power converters do not inherently provide grid‐ forming capability or inertial response to support power system frequency regulation • Reduced equivalent inertia in the power system

3 Control of power converters in power systems

• "Grid‐following" converters • "Grid‐forming" converters • Synchronization to the measured grid • Capability for voltage and frequency control • Typically by a Phase Locked Loop (PLL) • Inherently capable of islanded operation • Usually based on inner loop current control • Power‐balance‐based synchronization mechanism • Power control by active current component • Power control via voltage phase angle • Grid support functionality by auxiliary control loops • Outer loop control sharing of active and reactive power

Zload

Vs,ab

L2 Grid information Grid L 1 vs * Synchronization Ps I q C * cab, L1 1 g Frequency * ** Synchronizing p p&q P  P  Support s  s Power signal g Balance ic I Control Ps c, abc * * Control id v ,ref Qs g Reactive Pulse 16 * * Current q0 Power vˆ * Width Current V i v * s * q Control  ,ref Control i Voltage ** Voltage c gPWM Qs  Q Modulation Control V Support  s Reactive s Active  Control & Control Q Power Modulation s C p0 Power Control Icab, VDC DC Control 

CDC VDC vDC Virtual Synchronous Machines for grid‐forming control

• First publication on Virtual Synchronous Machine (VISMA)

concept by Beck and Hesse in 2006 Vg • Internal simulation of a Synchronous Machine (SM) Zg,tot v • Simulated machine model provides current references s q C Power L1 1 used for converter control p Calculation i • Can include high order synchronous machine model c Ic, abc * v Synchronous qo f • Main purpose: Emulate the main operational AVR Machine Current Simulation i* c Control gPWM iVSM characteristics of synchronous machines & p* v o VSM s Modulation • Grid forming functionality Governor

C • Inertial dynamics VISMA Concept DC vDC • The first proposals had higher detailing level than necessary Basis for Virtual Synchronous Machine (VSM) control

p o Inertia Model • Synchronization mechanism and power control * based on emulation of SM swing equation po  1      VSM 1 VSM b VSM  • Based on torque or power balance Ta s s pd • Linearized power balance is simpler for VSM applications:   k VSM  d  * g * dppkdVSMg   VSM o o dt Taa T T a p em Virtual Synchronous Machine swing equation • Ensures grid synchronization and inertial p* * r* VSM  p  1  1    response to grid frequency variations  k   VSM VSM b VSM    T p a s s  d • Typically combined with a simple power VSM   k VSM Frequency Droop d  ‐frequency droop ('governor') function PLL PLL Example of VSM‐based control for HVDC terminal

Phase PLL Locked Vg • Emulating impedance and inertial Loop p characteristics of SM o qo Z g vabc • Outer loops with equivalent Measurement o vo Simulated SM model abc functions as for SMs iul, Lf vˆo vo Processing • x Inner control loops for controlling iv

Iv the converter VSM

a a V Al La La Au • Including control of circulating * Voltage * cv qo vˆe Electrical Inner dq vvabc, Control *,abc abc b b * v g Al La La Au currents for Modular Multilevel vˆ ModelModel Control  ul, ul, ('AVR') * vc, abc Ac L L Ac Converter (MMC) based HVDC VSM l a a u

p Balancing o Modulation terminals p*  o PLL  VSM VSM * Frequency r* • Directly applicable to power‐  p Inertia vdc Control  Model VSM controlled terminals VSM ('Gover nor') • Can support multi‐infeed operation in 2

2VSM large offshore wind farms 2 * Circulating * i v dq • Conflicting with dc‐voltage control c Current c i 7 c Control abc Grid forming control in multi‐infeed HVDC‐connected offshore wind farms

VSM-controlled

8 VSM as example of grid forming control

• VSM‐based control can be considered a sub‐group of grid‐forming control • Main characteristic feature is the explicit emulation of the inertia and damping • Example: Equivalence between VSM‐based control and power‐frequency droop

p Active Power Droop Controller o Inertia Model 0

* po   1  1    VSM VSM b VSM p      0   N Ta s s mP pd  s

  p  f p k VSM m * d  s   P-reg * f

11  spp  *  11 0,el pu g pu Tk, fpmm p ad    f mmpp Inertia term Damping term 9 Salvatore D'Arco, Jon Are Suul, "Equivalence of Virtual Synchronous Machines and Frequency-Droops for Converter-Based MicroGrids," in IEEE Transactions on , Vol. 5, No. 1, January 2014, pp. 394-395 The role of inertia in power systems

• Limits the frequency transients in response to disturbances • Provides power response proportional to the frequency derivative d pJ r r dt of generation • Challenges with reduced inertia in grids

with remaining traditional power plants: Idealized response to a loss • Reduced minimum frequency (Nadir) in response to disturbances J. Fang, H. Li, Y. Tang, F. Blaabjerg, " On the Inertia of Future More‐ • Increased maximum Rate‐of‐Change‐of‐ Power Systems," IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 7, No. 4, pp.2130‐2146, December 2019 Frequency (RoCoF)

10 Grid‐forming control vs virtual inertia

• Grid forming control can include inherent inertia emulating features • For instance: VSM‐based control or large filtering time‐constant in power‐frequency droop control • Virtual or synthetic inertia can be implemented as auxiliary function in grid‐ following converters • Does not imply any grid‐forming capability

Synchronous Machine swing Equivalent response to equation enforced frequency variations

 d dg Jppr   pJ rdt mech em VI VI VI dt 11 Grid forming control of HVDC converters

• Main motivations • Challenges • High power rating from a single unit • Current limitations and energy availability for • Comparable size and influence on local grid as providing inertial response traditional large generation plants • Power and energy availability for compensating load • High controllability of Modular Multilevel variations Converters (MMC)‐based HVDC terminals • Conflict between grid forming control and dc • Typically customized design and control voltage control • Compatible with requirements for black‐start • Need for for providing grid forming capability functionality without other dispatchable sources

12 Examples of results at SINTEF

• Ongoing research project on provision of virtual inertia from HVDC transmission systems • Evaluation of implementations and power system impacts from different control strategies for providing virtual inertia • Power‐Hardware‐in‐the‐Loop (P‐HiL) testing conducted in the National Norwegian Smart Grid Laboratory at NTNU/SINTEF

13 Experimental setup for P‐HiL testing

• Two MMCs in point to point configuration • One unit controlling the dc link voltage and the other controlled with inertia support • Real‐time simulation of islanded power system with synchronous machine and variable resistive load • Utilized for Power‐ Hardware‐in‐the‐Loop (PHiL) experiments • Actuated by high‐ bandwidth 200 kW grid emulator 14 Operation in ideal grid with fixed frequency

• Comparison of multiple strategies for implementing VSM/grid‐forming functionality • Test with converter connected to a grid emulator generating a stiff voltage with fixed frequency and amplitude • Response to a step in the power reference for different VSM implementations • Large variations in dynamic response • Sensitive to control system implementation Salvatore D'Arco, Tuan T. Nguyen, Jon Are Suul, "Evaluation of Virtual Inertia Control • Sensitive to emulated inertia Strategies for MMC-based HVDC Terminals by P-HiL Experiments," in Proceedings of the IEEE 45th Annual Conference of the Industrial Electronics Society, IECON'2019, Lisbon, Portugal, 14- 17 October 2019, pp. 4811-4818 15 Operation in islanded grid with low inertia

All VSM at J = 2 6000 VCVSM J = 2 D CCVSM QSEM J = 2 D Response to CCVSM DEM J = 2 D All control 5000 DFDT J = 2 D load‐step in No inertia D strategies VCVSM J = 2 ND inertia and droop CCVSM QSEM J = 2 ND the islanded CCVSM DEM J = 2 ND behave 4000 DFDT J = 2 ND similarly No inertia ND system

3000 power [W] power 2000

only inertia 1000

0

16 -1000 0 2 4 6 8 10 12 14 time [s] Summary and open research questions

• Grid forming operation of HVDC terminals in modern low‐inertia power systems • Promising opportunity due to high power rating and high controllability • Wide range of control schemes proposed or under development • Different stability characteristics but equivalent response for inertia emulation in islanded power systems • Main limitations related to energy availability and dispatchability • Open research topics • Required share and functionality of grid‐forming converters in modern power systems • Need for virtual inertia for supporting remaining traditional generation units • Optimal location and transient response of converter units for providing virtual inertia • Converter control during fault conditions • Required changes to and operation with increasing share of converters 17 Thank you for your attention!

Questions?

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