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Dirk Van Hertem

Kasteelpark Arenberg 10 - box 2445
3001 Leuven
Belgium

tel: +32 16 32 10 20
fax: +32 16 32 19 85
contact

Dirk Van Hertem graduated as a M.Eng. in 2001 from the KHK, Geel, Belgium and as a M.Sc. in Electrical Engineering from the KU Leuven, Belgium in 2003. In 2009, he has obtained his PhD, also from the KU Leuven. In 2010, Dirk Van Hertem was a member of EPS group at the Royal Institute of Technology (KTH), in Stockholm. Since spring 2011 he is back at the University of Leuven where he is currently professor and member of the ELECTA division. His special fields of interest are decision support for grid operators, power system operation and control in systems with FACTS and HVDC and building the transmission system of the future, including offshore grids and the supergrid concept. The research activities of Prof. Van Hertem are all part of the EnergyVille research center, where he leads the Electrical Networks activities.  Dr. Van Hertem is an active member of both IEEE (PES and IAS) and Cigré. 

Research

My research focusses on power system planning, operation and control. More specifically I am interested in four components:

  • Building and operating the transmission system of the future, including HVDC and HVDC grids
  • A cost-effective reliable energy supply
  • Large scale integration of renewables
  • Tools to aid grid operators in their decision taking process

The research activities of Prof. Van Hertem are all part of the EnergyVille research center, where he leads the Electrical Networks activities. In particular, he coordinates the Towards HVDC grids roadmap and the Decision support for grid operators roadmap.

HVDC Grids book

Together with my colleagues Oriol Gomis-Bellmunt from UPC Barcelona and Jun Liang from Cardiff University, we edited the first book fully dedicated to the entire value stream of HVDC grids. The book is titled HVDC GRIDS: for offshore and supergrid of the future, and is a collaborative work of our research groups in Leuven, Barcelona and Cardiff.

 HVDC Grids: For Offshore and Supergrid of the Future Dirk Van Hertem, Oriol Gomis-Bellmunt, Jun Liang ISBN: 978-1-118-85915-5 528 pages April 2016, Wiley-IEEE Press

Research team

Post-doctoral researchers and research experts

PhD students / Research assistants

  • Firew Zerihun Dejene
  • Rick Loenders
  • Stephen Hardy
  • Vaishally Bhardwaj 
  • Abhimanyu Kaushal
  • Arnaud Robert
  • Chandra Kant Jat
  • Tamas Borbath
  • Joachim Vermunicht
  • Simon Nagels
  • Sadegh Mousavi Shoushtari
  • Sari Kerkhove
  • Mohamed El-Jafoufi
  • Amirreza Jafari Anarjan
  • Giacomo Bastianel
  • Oscar Aristo Damanik
  • Mohammad Heidari 
  • Xiaoxiao Liu
  • Hryhorii Bilan
  • Kaan Jurtseven
  • Juan Camilo Castaño
  • Merijn Van Deyck
  • Arman Zarrin

Vacancies

There are currently some positions (both phd and post-doc) within the field of decision support for grid operators and HVDC grids.

You can find them on the KU Leuven job site or you can drop me a line, although you might not receive an immediate response.

Teaching

Publications (2018-now)

The full list of publications can be found on the lirias server.

My google scholar profile you can find on google scholar and my Orcid nr is 0000-0001-5461-8891.

A selection (the last 5 years) can be found below.

 
 

 

Research projects

Promotor
Co-promotor
query=user:U0043846 year:[2018 TO 2023] &institution=lirias&from=1&step=20&sort=scdate
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  • Ergun, Hakan; Bastianel, Giacomo; Van Hertem, Dirk; 2023. Quantifying benefits of power flow control through HVDC under network Contingencies. Cigre B4 Colloquium 2023; 2023; pp. 1 - 10 Publisher: Cigre
    LIRIAS4121140
    description


    Published
  • Jat, Chandra Kant; Dave, Jaykumar; Van Hertem, Dirk; Ergun, Hakan; 2023. Hybrid AC/DC OPF Model for Unbalanced Operation of Bipolar HVDC Grids. Ieee Transactions On Power Systems; 2023; pp. 1 - 11
    LIRIAS4120391
    description

    Publisher: Institute of Electrical and Electronics Engineers
    Published online
  • Vermunicht, Joachim; Leterme, Willem; Van Hertem, Dirk; 2023. Analysing the Performance of Incremental Quantity based Directional Time-Domain Protection near HVAC Cables and VSC HVDC Converters. Electric Power Systems Research; 2023; Vol. 223; pp.
    LIRIAS4089260
    description
    New grid elements such as Voltage Source Converters (VSC) and cables are being increasingly used in today’s power grid. These new grid elements behave differently compared to synchronous machines and overhead lines during transients and faults, impacting the present system’s legacy protection. An increased share of underground cables affects the system’s resonance frequencies whereas VSCs introduce actively controlled current phase shifts during short-circuit faults. Existing research mainly focuses on VSC impacts on phasor-based legacy protection. This paper studies the impact of these new grid elements on incremental quantity-based directional protection, which operates in the time domain, using EMT-type models and hardware experiments. First, cables introduce low frequency oscillations for remote, single phase faults and additionally under weak grid conditions. At low frequencies, these oscillations are not filtered out by the protection, which may result in a decrease of dependability margin (23% of the tested cases) and potential security issues. For the majority of studied cases, the relays worked correctly. Second, fast reactive current injection by a VSC can cause malfunction of incremental quantity protection. Malfunction occurred in 1 case and a decrease of dependability in 10% of the tested cases. This is especially problematic for grids with relatively low synchronous infeed.
    Publisher: Elsevier
    Published
  • media
    Van Hertem, Dirk; Beerten, Jef; Ergun, Hakan; 2023. Expert Talk: EnergyVille is actively supporting Belgium's pivotal role in the North Sea.
    LIRIAS4117705
    description
    elgium is a pioneer in offshore wind farm development and its seamless integration into the European power grid. This commitment is exemplified through the 'North Sea Energy Plan for the Transition to Sustainable Wind Energy' (NEPTUNE-project), a blueprint shaping the future of renewable energy in the North Sea. EnergyVille experts, including Professors Dirk van Hertem and Jef Beerten, along with Dr. Hakan Ergun, shed light on how the NEPTUNE project continues to advance Neptune's legacy.

    Published online
  • Vanin, Marta; Ergun, Hakan; D'hulst, Reinhilde; Vanthournout, Koen; Van Hertem, Dirk; 2023. Analysis and insights from reactive power measurements of low voltage users. 27th International Conference on Electricity Distribution (CIRED 2023); 2023; pp. Publisher: The institution of engineering and technology (IET)
    LIRIAS4117969
    description


    Published
  • Geth, Frederik; Vanin, Marta; Van Hertem, Dirk; 2023. Data quality challenges in existing distribution network datasets. 27th International Conference on Electricity Distribution (CIRED 2023); 2023; pp. 2421 - 2425 Publisher: IEEE
    LIRIAS4117973
    description


    Published
  • journal-article
    Vermunicht, Joachim; Loenders, Rick; Nagels, Simon; Leterme, Willem; De Kerf, Kenny; Charels, Nils; Moors, Cédric; Distance protection in the vicinity of VSC: present Belgian situation and outlook. CIGRE Science & Engineering; 2023
    LIRIAS4111146
    description

    Publisher: CIGRE International Council on Large Electric Systems
    Accepted
  • Vanin, Marta; Geth, Frederik; D'hulst, Reinhilde; Van Hertem, Dirk; 2023. Combined unbalanced distribution system state and line impedance matrix estimation. International Journal Of Electrical Power & Energy Systems; 2023; Vol. 151; pp.
    LIRIAS4086345
    description

    Publisher: Elsevier
    Accepted
  • Marquecho, Edgar G; Torres, Santiago P; Astudillo-Salinas, Fabian; Ergun, Hakan; Van Hertem, Dirk; Castro, Carlos A; Blum, Christian; 2023. Comparison of an Improved Metaheuristic and Mathematical Optimization Based Methods to Solve the Static AC TNEP Problem. Ieee Transactions On Power Systems; 2023; pp. 1 - 17
    LIRIAS4102594
    description

    Publisher: Institute of Electrical and Electronics Engineers
    Published online
  • Bhardwaj, Vaishally; Ergun, Hakan; Heylen, Evelyn; Van Hertem, Dirk; 2023. A three-stage SCOPF considering fast converter control and generator droop. Electric Power Systems Research; 2023; Vol. 221; pp.
    LIRIAS4080753
    description

    Publisher: Elsevier
    Published online
  • Morquecho, Edgar G; Torres, Santiago P; Astudillo - Salinas, Fabian; Castro, Carlos A; Ergun, Hakan; Van Hertem, Dirk; 2023. Security constrained AC dynamic transmission expansion planning considering reactive power requirements. Electric Power Systems Research; 2023; Vol. 221; pp.
    LIRIAS4081902
    description

    Publisher: Elsevier
    Published online
  • Kaushal, Abhimanyu; Mirowski, Artur; Skwarski, Mateusz; Wasilewski, Jacek; Ergun, Hakan; Van Hertem, Dirk; 2023. Reactive power management: Comparison of expert-based and optimization-based approaches for dispatcher training. Iet Generation Transmission & Distribution; 2023; Vol. 17; iss. 17; pp. 1 - 12
    LIRIAS4096979
    description

    Publisher: Wiley
    Published online
  • Hashmi, Md Umar; Van Hertem, Dirk; 2023. Robust dynamic operating envelopes for flexibility operation using only local voltage measurement. IEEE; 2023
    LIRIAS4092734
    description


    Accepted
  • Hardy, Stephen; Themelis, Andreas; Yamamoto, Kaoru; Ergun, Hakan; Van Hertem, Dirk; 2023. Optimal Grid Layouts for Hybrid Offshore Assets in the North Sea under Different Market Designs. IEEE Transactions on Energy Markets, Policy and Regulation; 2023; pp. 1 - 12
    LIRIAS4099539
    description

    Publisher: IEEE
    Published online
  • Hardy, Stephen David William; 2023. Cost Effective Expansion Planning: Mathematical Optimization Models to support Large Scale Offshore Wind Deployment.
    LIRIAS4082127
    description
    Reduce CAPEX and OPEX through the optimization of the collector platforms, substations and transport cables considering multiple wind farms from a systems perspective. The formulation of the optimization problem focuses on reducing equipment and platform weight and volume as well as minimizing maintenance requirements in order to achieve a cost reduction.

    Published
  • Hashmi, Md Umar; Koirala, Arpan; Ergun, Hakan; Van Hertem, Dirk; 2023. Robust flexibility needs assessment with bid matching framework for distribution network operators. Sustainable Energy Grids & Networks; 2023; Vol. 34; pp.
    LIRIAS4083108
    description
    For market-based procurement of low-voltage flexibility, DSOs identify the amount of flexibility needed for resolving probable distribution network (DN) voltage and thermal congestion. A framework is required to avoid over or under-procurement of flexibility in the presence of uncertainty. To this end, we propose a scenario-based robust chance-constrained (CC) day-ahead flexibility needs assessment (FNA) framework. The CC level is analogous to the risk DSO is willing to take in flexibility planning. Multi-period optimal power flow is performed to calculate the amount of flexibility needed to avoid network issues. Future uncertainties are considered as multiple scenarios, which are utilized to solve the flexibility needs assessment optimal power flow (FNA-OPF) problem. The FNA tool calculates the temporal and locational ramp-up and ramp-down flexibility needs of the DN. We also propose a Pareto optimal mechanism for selecting CC level to reduce flexibility needs while reducing DN congestion. Zonal clustering of a DN feeder is performed using electrical distance as a measure, with spatial partitioning and silhouette coefficient. Further, a zonal and nodal bid matching algorithm is proposed, where alternate flexibility bids in the same zone are identified in case nodal matching is not exact, compared to the calculated FNA. The proposed bid matching algorithm assists the system operator in bid selection by avoiding rerunning power flow evaluations. The zonal and nodal bid matching leads to more than 43% additional reduction of probable network incidents compared to naive nodal bid matching. Furthermore, we also calculate FNA for a real German DN with 646 nodes and 331 consumers.
    Publisher: Elsevier
    Accepted
  • Hashmi, Md Umar; Brummund, David; Lundholm, Rickard; Koirala, Arpan; Van Hertem, Dirk; 2023. Consensus based phase connectivity identification for distribution network with limited observability. Sustainable Energy Grids & Networks; 2023; Vol. 34; pp.
    LIRIAS4083111
    description

    Publisher: Elsevier
    Accepted
  • Kaushal, Abhimanyu; Ergun, hakan; Van Hertem, Dirk; 2023. Economic value of inertia support from HVDC system. 19th International Conference on AC and DC Power Transmission (ACDC 2023); 2023; pp. 341 - 346 Publisher: IET
    LIRIAS4082246
    description
    With an increasing share of energy from non-synchronous renewable energy sources (RES), the inertia of the power system is decreasing. There is also a decrease in the number of conventional resources that can help in increasing the system inertia. This reduction in system inertia has an adverse effect on frequency stability. The effect on frequency stability is more severe in smaller isolated systems than in larger systems. The number of High-Voltage Direct Current (HVDC) interconnections is also increasing to harness the full potential of RES. These interconnections can also be used to provide inertial support to maintain a prerequisite system inertia level. This paper proposes a mathematical model for examining the economic aspects of inertia support with HVDC systems. The analysis shows that using inertia support from the HVDC system can reduce the overall cost of maintaining system inertia above the threshold value by 27% for Great Britain.

    Published
  • Koirala, Arpan; Van Acker, tom; Hashmi, md umar; D'hulst, reinhilde; Van Hertem, dirk; 2023. Chance-constrained optimization based PV hosting capacity calculation using general Polynomial Chaos. Ieee Transactions On Power Systems; 2023; pp.
    LIRIAS4072593
    description

    Publisher: Institute of Electrical and Electronics Engineers
    Published online
  • Hashmi, Md Umar; Koirala, arpan; Ergun, hakan; Van Hertem, dirk; 2023. Flexibility needs assessment for distribution networks.
    LIRIAS4016092
    description
    With the growth of power system generation and load intermittency, the challenge of ensuring the operational reliability of distribution networks (DN) is a hard problem to solve. Distribution system operators (DSO) need to plan flexible resources to avoid probable distribution network incidents (DNI). DNI encapsulates the thermal congestion in the lines, voltage violations at the nodes, and not complying with power quality standards detailed in EN 50160. From DSO's perspective, power factor, voltage, and current imbalance are of additional interest. With new converter-based loads and distributed generation, a high level of harmonics is also crucial DNI. Flexibility needs assessment (FNA) refers to the amount of flexibility DSO needs to plan or procure from the flexibility market to avoid probable DNI. The probable DNI are captured using modeling uncertainties, using generated scenarios that emulate the different realizations which could happen. The scenario generation utilizes the nodal load and generation forecast along with historical forecast errors. Flexibility needs assessment optimal power flow (FNA-OPF) problem is solved for each of the scenarios. The robust FNA, considering the worst-case scenario, if used for flexibility procurement would lead to substantial over-procurement. In order to avoid this, a risk-based index, e.g. a chance constraint, is introduced for procurement. Higher values of the chance constraint would project on to greater risk DSO might have to encounter by facing unresolved DNI. This framework for FNA is shown in a flow chart in Fig. 1. Our prior and ongoing research on FNA are [1-4]. [1-3] considers voltage and thermal violation as DNI and [4] extends this for three-phase unbalanced DNs where in addition to voltage and thermal violations, the voltage and current imbalances are also considered as DNI [5]. FNA tool proposed not only provides the probable congestion incidents but also the magnitude of flexibility needed to resolve such DNIs.

    Accepted