Evaluate the impact of network tariffs on the Swiss energy transition. A fair cost distribution or a driver to reduce expensive network upgrades?

We aim to demonstrate the importance of an optimal network tariff model for future electric energy systems. Due to the lack of available household consumption data and the uncertainty of new actors impact (e.g. electric cars), there are no reliable environments to perform such simulations. We propose a new simulation environment in order to evaluate the impact of different network tariff models in a representative network region. The core of this new simulation environments are advanced machine learning models for household consumption, electric cars charger stations, solar panels productions and the local optimization of batteries behavior at the prosumer level. We propose a new method to evaluate the fairness of the network distribution costs. The presented results demonstrate that existing network tariffs will not be able to fairly distribute the costs and that the penetration of energy storage could put the system at risk if the network tariffs are not correctly adapted for this new environment