The master’s thesis addresses the problem of long-term transmission network planning under the conditions of the energy transition, characterized by an increasing share of renewable energy sources generation and, consequently, a higher likelihood of transmission congestion and generation curtailment. The main objective of the paper was to assess whether the software tool PLEXOS is suitable for supporting the planning processes of the transmission system operator (ELES), particularly regarding its capability to perform integrated multi-year optimization of network investments and power system operation.
For this purpose, within the framework of the master’s thesis, a functional model of the power system was developed in PLEXOS, and long-term simulations were carried out using different sets of investment candidates. The impact of candidate selection on cumulative system costs was evaluated.
The simulation results demonstrate that the selection of investment candidates significantly affects the volume of curtailed energy and, consequently, total system costs. A broader set of candidates enables more effective congestion mitigation and lower overall system costs; however, even in the most extensive candidate set, total system costs remain strongly driven by the cost of curtailed energy.
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