Cost-Optimal Power System Extension under Flow-Based Market Coupling

摘要: Electricity market models, implemented as dynamic programming problems, have been applied widely to identify possible pathways towards a cost-optimal and low carbon electricity system. However, the joint optimization of generation transmission remains challenging, mainly due fact that diff erent characteristics rules apply commercial physical exchanges in meshed networks. This paper presents methodology allows optimize power infrastructures jointly through an iterative approach based on transfer distribution factors (PTDFs). As PTDFs are linear representations load flow equations, they can be environment suitable for large scale problems. The algorithm iteratively updates when grid modifi ed extension thus yields optimal solution with consistent representation flows. method is first demonstrated simpli fied three-node model where it found robust convergent. It then European system order fi nd its development under prescription strongly decreasing CO2 emissions until 2050.