This thesis investigates the time-wise variability of sensitivity coefficients, which quantify the impact of power injections or withdrawals at specific nodes on key grid parameters, such as voltage levels and line loading, essential for congestion management and voltage control in distribution networks. These coefficients play a pivotal role in the effectiveness of service providers within emerging local electricity markets, where rapid and reliable responses to network contingencies are essential. By analysing the temporal changes in these coefficients, this research aims to evaluate the feasibility of defining static or dynamic market areas based on the network's operating conditions. The findings will contribute to optimizing the structure of local markets, ensuring efficient service provision and enhancing grid stability by adapting market areas to real-time network requirements.
