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Item type:Publication, Access status: without files , Optimal medium-voltage distribution grid planning with active integration of flexibilityDistribution grid planning is facing increasing pressure due to the growing integration of new electrical loads such as heat pumps and battery electric vehicles. The associated increase in demand particularly affects medium-voltage grids. At the same time, these loads offer new opportunities for demand-side flexibility, which has so far been insufficiently considered in existing planning methods. This work therefore presents a planning approach that systematically integrates demand-side flexibility into strategic medium-voltage grid planning. To this end, grid reinforcement measures and the use of flexibility as an operational planning option are modeled within a common decision space. The target grid is then determined using mixed-integer linear programming (MILP). The results of two case studies for an urban and a rural distribution grid show that expansion costs can be significantly reduced through the targeted use of flexibility. Furthermore, considering operational flexibility enables grid expansion measures to be postponed over time. This allows the resources required for grid expansion, particularly human resources, to be used more efficiently.Publicationtype: Journal Article70 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , A multi-objective optimization approach to integrated energy network co-planning(Elsevier, 2026-07-14); ; ; ; This paper presents a constrained multi-objective optimization approach for the simultaneous extension and operation planning of integrated energy networks. The integrated energy network comprises a district heating network, an electric energy network, a gas network, and decentralized heating technologies such as pellet boilers. The approach dissects the area of interest into zones. Each zone is represented by a novel model based on the energy hub concept. Therefore, the approach is scalable and allows for the planning of metropolitan areas. The zones are connected by overlying energy networks. The overlying energy networks and the zones are simulated for one year. The simulation is executed within an optimization. In addition, the approach is capable of accounting for the limits of the integrated energy network’s extension. Consequently, it allows for a realistic planning of future integrated energy networks.Publicationtype: Journal Article24 12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Harmonizing distribution system planning and the operation of integrated DC systemsThe ongoing energy transition leads to a drastic increase in the number of power-generating and -consuming units as well as the accumulated installed power in the German power system. The exploitation of operational flexibility offers the potential to reduce the resulting need for power system reinforcement and expansion. The integration of DC systems into existing AC distribution systems provides operational flexibility with assets that by European legislation can be owned by distribution system operators (DSO). Consequently, the DSO can decide on their operational behavior, numbers, location, power rating, and availability. However, the corresponding planning task requires procedures that involve operational considerations. This paper employs a customized optimal power flow based operational strategy for DC links within a planning study, evaluates mutual implications between planning and operation, and derives necessary adjustments for their harmonization. The representative case study on medium-voltage grid planning demonstrates that the integration of controllable DC links in combination with a suitable operational strategy can significantly reduce the number of reinforcement measures required to resolve overloading of grid assets for increasing power demand compared to non-controllable alternatives.Publicationtype: Conference Paper28 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Cross-sectoral reliability-constrained sizing of thermal storage in multi-energy systems(IEEE, 2025-07-22); ; ; ; The increasing electrification in district heating systems through electric heat pumps and the resulting coupling between electrical and heating systems presents challenges to network operators and planners, but it also offers high flexibility potential in distribution network operation. The flexibility offered by electric heat pumps and thermal storages can play a vital role in providing affordable energy storage and the potential for load shifting. However, this flexibility comes with uncertainty as it depends on changing weather conditions and customer behavior. Therefore, the correct sizing of the thermal storage capacities in the planning phase of multi-energy systems (MES) is essential for guaranteeing sufficient flexibility for electrical network operation. Moreover, existing reliability metrics do not capture the interactions between the electrical and thermal domains of MESs. In this paper, a novel methodology is presented for optimal sizing under the uncertainty of thermal storage capacities in a heating network coupled to an electrical network. Distributionally robust chance-constrained optimization (DRCC) is used to model the system to limit the probability of insecure operation due to uncertainty in heat demand forecasting. The proposed approach is demonstrated on a modified MES and the results are compared to those obtained from a conventional deterministic optimization model. A new reliability metric, Expected Heat Not Supplied (EHNS), is introduced to evaluate system reliability. The proposed methodology is designed to provide network planners and operators with the optimal storage capacities needed to balance robustness against existing uncertainties, costs, and system reliability.Publicationtype: Conference Paper49 24 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Aktive Planung von robusten gekoppelten Netzen(Helmut-Schmidt-Universität/Universität der Bundeswehr, 2025-03-25); ; ; Durch die zunehmende Elektrifizierung in dem Wärmesektor ergeben sich neue Herausforderungen wie z. B. stark gestiegene Lasten und die damit verbundenen Anforderungen an einen schnellen Netzausbau, aber auch Chancen zur Nutzung von Flexibilitäten im Netzbetrieb. Dieser Beitrag stellt eine Methode zur effizienten Planung von mit Wärmenetzen gekoppelten Stromnetzen vor. Zunächst wird das Flexibilitätspotential steuerbarer Verbraucher für die Netzplanung genutzt, um Netzengpässe zu vermeiden und kostenintensive Netzausbauten zu verzögern. Des Weiteren wird ein neuartiger Ansatz zur verteilungsrobusten Optimierung des Betriebs gekoppelter Strom- und Wärmenetze unter Unsicherheiten vorgestellt. Dieser Ansatz basiert auf einem verteilungsrobusten zufallsbeschränkten Leistungsflussmodell (DRCC-OPF), das Unsicherheiten in wetterabhängigen Lastprognosen berücksichtigt. Das Gesamtkonzept integriert beide Ansätze in ein iteratives Planungsverfahren, das die Flexibilität des Netzbetriebs optimiert und gleichzeitig die Robustheit des Zielnetzes langfristig sicherstellt. Das Konzept ist Teil der gesamten integrierten Netzplanungsmethode, die im Rahmen des Teilvorhabens iNeP entwickelt wird.Publicationtype: Book Part46 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Exploiting flexibility in multi-energy systems through distributionally robust chance-constrained optimizationAlthough the increasing demand due to the electri-fication of other sectors, such as transportation and heating due to the transition towards carbon-neutral energy supply, presents challenges to grid operators, it also offers high flexibility potential in grid operation. Therefore, the distribution system operators must attempt to exploit these sectors' flexibility. The flexibility offered by electric heat pumps and thermal storage can play a vital role in providing much-needed affordable energy storage and potential for load shifting. However, this flexibility comes with uncertainty as it depends on changing weather conditions and customer behavior. In this paper, a scheme for providing the optimal operation of electricity and heat networks under uncertainty in weather conditions is proposed. The system uncertainty is modeled through distributionally robust chance constraints that limit the probability of insecure operation due to uncertainty in the weather forecast. The proposed scheme is demonstrated using actual weather data on a low-voltage residential grid coupled to a district heating system through an electric heat pump. The results are compared to a conventional deterministic optimal power flow, and the grid's robustness is evaluated. The proposed scheme provides the optimal exploitation of flexibility through grid coupling and prevents insecure operation against uncertainty.Publicationtype: Conference Paper45 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Integration of active operation into the planning phase of a medium-voltage distribution gridThe energy system is undergoing significant changes as part of the transition to a climate-neutral energy supply. This has a particular impact on distribution grids, which require new planning concepts and operational methods to integrate a large number of distributed generation units and flexible consumers. This paper investigates how linking planning with operation can improve traditional distribution grid planning. The proposed method includes traditional grid planning, minimizing the investment cost with a model for grid reinforcement by relocating typical ring structures and conducting active operations. The active operation is performed through an optimization problem containing the optimal scheduling of flexible loads, such as heat pumps (HP) and electric vehicles (EV), and distributed generation (DG), such as rooftop PVs. A case study is designed and performed using a benchmark MV-grid to demonstrate the effectiveness of the proposed method. The presented results demonstrate how integrating active operation could lead to significant cost savings when planning MV distribution grids.Publicationtype: Conference Paper47 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Coupled multi-energy grid planning - paving the way from isolated to integrated planning(IEEE, 2023-08-09); ; ; ; In the course of the energy transition, distribution grid operators of heat, gas and power must adapt their grid expansion planning to new challenges. Up to now, distribution grids have mainly been adapted unidirectionally based on the peak loads of consumers. In future grids, flexible consumers, distributed energy generation as well as sector coupling will determine the requirements and constraints for distribution grid planning. In order to integrate the planning of the individual grid operators, this paper proposes an approach in which an additional downstream process step extends the established procedures. The presented concept of coupled planning is aimed to serve as an intermediate stage to pave the way from isolated to fully integrated planning of multi-energy grids. The new process step uses the planning process of the individual organizational bodies and refines it by taking the sector coupling elements into account. This makes it possible to optimize the coupled energy grid and, at the same time, to make optimum use of the planning processes for the individual grids that have already been established and used for many years. The concept has been evaluated and tested with a case example simulation for a typical planning task. The case underlines the benefits of the presented concept. Following the case study the potential of further developing the concept is discussed. The approach is an important step towards comprehensive integrated grid planning and a more efficient, flexible and reliable infrastructure for energy distribution. It results in an economization of resources, specialists and material of the grid operators.Publicationtype: Conference Paper83 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Integrated Planning of Multi-energy Grids: Concepts and ChallengesIn order to meet ever-stricter climate targets and achieve the eventual decarbonization of the energy supply of German industrial metropolises, the focus is on gradually phasing out nuclear power, then coal and gas combined with the increased use of renewable energy sources and employing hydrogen as a clean energy carrier. While complete electrification of the energy supply of households and the transportation sector may be the ultimate goal, a transitional phase is necessary as such massive as well as rapid expansion of the electrical distribution grid is infeasible. Additionally, German industries have expressed their plans to use hydrogen as their primary strategy in meeting carbon targets. This poses challenges to the existing electrical, gas, and heating distribution grids. It becomes necessary to integrate the planning and developing procedures for these grids to maximize efficiencies and guarantee security of supply during the transition. The aim of this paper is thus to highlight those challenges and present novel concepts for the integrated planning of the three grids as one multi-energy grid.Publicationtype: Conference Paper not in Proceedings151 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Integrierte Netzplanung für Strom, Gas und Wärme : Konzepte für regionalisierte Szenarien und Netzentwicklung(Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg, Fakultät für Elektrotechnik, Professur für Elektrische Energiesysteme, 2022); ; ; ; Die integrierte Netzentwicklungsplanung beschreibt den Prozess für eine gemeinsame strategische Infrastrukturplanung für die leitungsgebundenen Energieträger Strom, Gas und Fern-/bzw. Nahwärme. Im Projekt iNeP wird dafür am Beispiel der Industriemetropole Hamburg eine Methodik entwickelt, die eine solche abgestimmte Netzplanung erlaubt. Dabei hat die Erfüllung des Hamburger Klimaplans höchste Priorität. Als ein zentraler erster Schritt der integrierten Netzplanung dient die Erstellung eines Szenariorahmens, in dem künftige Bedarfe sinnvoll abgeschätzt und darauf aufbauende geeignete Energiekonzepte entwickelt werden. Für die Regionalisierung von Bedarfen können entweder geeignete Top-Down Ansätze verwendet werden, oder auf Basis spezifischer für Hamburg verfügbarer regionaler Daten und gezielter Marktabfragen Prognosen auf detaillierterer räumlicher Ebene getroffen werden. Dazu wird der Ansatz „Neutraler Zonen “vorgestellt. Die als Energiemenge prognostizierten Bedarfe müssen zur Beurteilung der Netzkapazitäten in geeigneter Weise in zu liefernde Leistungen aus den Energienetzen übertragen werden. Hier wird auch die Berücksichtigung von Flexibilität in die Netzplanung thematisiert. Auf dem Szenariorahmen aufbauend geschieht die eigentliche Netzentwicklung. Dazu wird ein Programm zur Erstellung eines Netzmodells aus öffentlichen Daten sowie der Ansatz der Graphentheorie für Multi-Energie-Netze präsentiert.Publicationtype: Text310 517