A novel approach compared to traditional grid expansion consists of using flexibility from demand-response resources to manage anticipated congestions. However, such an approach presents challenges as it requires both technical and economic considerations. This paper proposes and analyses two market-based strategies applied to detached houses for day-ahead congestion management. The strategies are implemented in an Ancillary Service Toolbox environment developed in previous work, and is applied to a real use case on Gotland, Sweden. The first strategy involves using a dynamic network tariff while the second uses spot price optimization. Simulations are performed for seasonal worst-case congestion scenarios while satisfying comfort and economic constraints of the DR participants.Results show that while congestions are managed with a feasible number of participants, their savings are negligible for both strategies. The savings are 0.2-4.6 EUR/participant for the dynamic network tariff compared to 0-2.2 EUR/participant for the spot price optimization strategy. Moreover, results show that using a dynamic network tariff strategy implies a DSO cost in the range of 200-10200 EUR.