Maximization of wind energy utilization through a multi-objective optimization framework

The integration of renewable energy sources, especially wind energy, has been on the rise throughout the power system worldwide. Due to this relatively new introduction, the integration of wind energy is often not optimized. Moreover, owing to the technical constraints and transmission congestion of the power network, much wind energy that could have reached load centers has to be curtailed. Due to various factors that influence the connectivity of wind energy, this paper proposes a well-organize posterior multi-objective (MO) optimization algorithm for maximizing the connection of wind energy. In this regards, the dynamic thermal rating (DTR) system and the static VAR compensator (SVC) have been identified as effective tools for improving the loadability of the network. The propose MO in this paper aims to minimize: (1) wind energy curtailment, (2) operation cost of the network considering all investments and operations, known as total social cost, and (3) SVC operation cost.