Analytical uncertainty propagation and storage usage in a high RES Turkish transmission grid scenario

Abstract

The rapid integration of renewable energy into power systems calls for thorough system analysis, for which optimal power flow methods are used. However, these optimal power flow methods are mostly evaluated on test grids instead of real-world power grids. In this paper, we provide a model of the real-world Turkish transmission grid to allow more realistic modelling and test a newly proposed optimal power flow method, a second-order cone problem formulation, on this Turkish network. Furthermore, we combine the network with real-world wind power data to investigate the influence of storage placement on power flows. Our results show that the proposed optimal power flow method can be used to investigate the optimal placement of storage. On the Turkish transmission grid, storage (as expected) leads to a more stable and predictable generation and is best placed close to demand. Thus storage can play an essential role as a flexibility provider in Turkey. CCS CONCEPTS• Mathematics of computing → Stochastic processes; • Hardware → Power networks.