Cost-optimal power system extension under flow-based market coupling

摘要: Abstract 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 commercial trades do not directly translate into power flows on specific line in meshed networks. Instead, loop occur potentially impact entire This paper presents methodology allows optimizing investments under flow-based coupling complements established models linear environment are suitable for solving large-scale problems. The algorithm developed is based ‘DC’ representation physical load flow equations, expressed transfer distribution factors (PTDFs). It iteratively updates PTDFs when grid infrastructures modified extension thus yields an optimal solution with consistent flows. method first demonstrated simplified three-node model where it found be robust convergent. then European system order find its development prescription strongly decreasing CO2 emissions until 2050.