Hakan Ergun
Research Expert - Decision support for grid operators
Kasteelpark Arenberg 10 - box 2445
3001 Leuven
Belgium
room: 00.07
tel: +32 16 32 10 42 or +32 16 32 10 42
contact
Kasteelpark Arenberg 10 - box 2445
3001 Leuven
Belgium
room: 00.07
tel: +32 16 32 10 42 or +32 16 32 10 42
contact
Hakan Ergun, born in 16.02.1983 in Leoben Austria, has obtained his degree of Master of Science in Electrical Engineering at the Graz University of Technology (TU Graz) in October 2009. In February 2010 he has joined the Electa Research Group at KU Leuven, Belgium where he obtained his PhD in Electrical Engineering in January 2015. He has been a post – doctoral researcher until 2018 and is currently a research expert at KU Leuven / EnergyVille.
His main research interests are optimization methods in power system planning, power system modelling, power system reliability, electricity markets and regulation. To this date he has worked in several national and international research projects on several aspects of power system modelling and optimization.
He has published several papers in international scientific journals and conferences. He is a senior member of IEEE and is an active member of CIGRE. He has been in the local organization committee of the IEEE EnergyCon 2016 conference in Leuven. He is a vice chair of the IEEE PES/PELS/IAS Benelux Chapter and has been the chapter chair between 2017 and 2018. He is also a regular reviewer for several IEEE, IET and Elsevier journals.
Publications
query=user:U0069734 year:[2003 TO 2023] &institution=lirias&from=1&step=20&sort=scdate
showing 1 to 20 of 105
Type
all | articles | presentations | conferences | chapters | other | reports | phd theses | book reviews | books | outreach | edited books
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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 -
mediaVan Hertem, Dirk; Beerten, Jef; Ergun, Hakan; 2023. Expert Talk: EnergyVille is actively supporting Belgium's pivotal role in the North Sea. keyboard_arrow_downLIRIAS4117705
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 -
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 -
Phillips, Kristof; Moncada Escudero, Jorge; Ergun, Hakan; Delarue, Erik;
2023.
Spatial representation of renewable technologies in generation expansion planning models.
Applied Energy; 2023; Vol. 342; pp.
LIRIAS4080751
description
Publisher: Elsevier
Published online -
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.
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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.
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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 -
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
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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 -
Rossini, Matteo; Ergun, Hakan; Rossi, Marco;
2023.
FlexPlan.jl - An open-source Julia tool for holistic transmission and distribution grid planning.
2023 Open Source Modelling and Simulation of Energy Systems (OSMSES); 2023; pp.
Publisher: IEEE
LIRIAS4077507
description
Published -
Hashmi, Md Umar; Koirala, arpan; Ergun, hakan; Van Hertem, dirk;
2023.
Flexibility needs assessment for distribution networks.
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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 -
Hashmi, md umar; Koirala, Arpan; Ergun, hakan; Van Hertem, dirk;
2023.
Perspectives on Distribution Network Flexible and Curtailable Resource Activation and Needs Assessment.
Ieee Transactions On Industry Applications; 2023; Vol. 59; iss. 3; pp.
LIRIAS4070751
description
Publisher: Institute of Electrical and Electronics Engineers
Published online -
reportAntoine, Olivier; Papangelis, Lampros; Tielens, Pieter; Karoui, Karim; Ergun, Hakan; Bastianel, Giacomo; Agbemuko, Adedotun; Beerten, Jef; Leterme, Willem; Van Hertem, Dirk; 2023. AC/DC hybrid grid modelling enabling a high share of renewables. Publisher: European CommissionLIRIAS4067138
description
Published online -
Machl, Anita; Reich, Klemens; Lundholm, Rickard; Bhardwaj, Vaishally; Ergun, Hakan; Leterme, Willem; Van Hertem, Dirk; Bailleul, Marc; Mareggini, Nicolas;
2023.
Determining optimal technical solutions for new EHV transmission lines (OHL/UGC) in an early project stage.
e and i; 2023; Vol. 140; iss. 1; pp.
LIRIAS4015273
description
Publisher: Springer Verlag
Published -
Hashmi, Md Umar; Koirala, Arpan; Ergun, Hakan; Van Hertem, dirk;
2023.
Estimation of congestion component of LMP using
only local measurements for flexibility markets.
Processings of the 19th International Conference on European Energy Markets (EEM); 2023; pp.
Publisher: IEEE
LIRIAS4083106
description
Accepted -
Hardy, Stephen; Ergun, Hakan; Van Hertem, Dirk;
2023.
A Methodology for Offshore Transmission System Optimization Considering Spacial Constraints.
2023 IEEE BELGRADE POWERTECH; 2023; pp.
Publisher: IEEE
LIRIAS4115954
description
Published