出版社：Energiewirtschaftliches Institut an der Universität zu Köln
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 and transmission remains challenging, mainly due to the fact that di erent characteristics and rules apply to commercial and physical exchanges of electricity in meshed networks. This paper presents a methodology that allows to optimize power generation and transmission infrastructures jointly through an iterative approach based on power transfer distribution factors (PTDFs). As PTDFs are linear representations of the physical load
ow equations, they can be implemented in a linear programming environment suitable for large scale problems. The algorithm iteratively updates PTDFs when grid infrastructures are modi ed due to cost-optimal extension and thus yields an optimal solution with a consistent representation of physical load
ows. The method is rst demonstrated on a simpli ed three-node model where it is found to be robust and convergent. It is then applied to the European power system in order to nd its cost-optimal development under the prescription of strongly decreasing CO2 emissions until 2050.
关键词：Power system planning; Power generation and transmission; Iterative linear optimization;PTDF; Electricity market model; Power ;ow model; Flow-based market coupling
