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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 Paper50 25 - 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 Paper46 - 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 Paper48