Integration of renewable energy sources in power networks

We describe the integration of renewable energy sources in power networks, as determined through multi-agent simulations coupled with electric power flow analysis. Here, we focus on the prediction of the saturation-phase of building-integrated photovoltaic (PV) in the artificial virtual power network. The detailed power flow analysis determines the probability of reverse current occurrence due to the additional PV installation in a 6.75 kV-class power network consisting of 2500 grid-connected individual customers. The agent-based simulation including the customer agent and government agent describes the time-dependent behavior of the PV saturation-phase in an artificial society based on the power flow analysis. Growth in share of PV is assisted by battery installations as reservoirs for the reverse power current. The excessive promotion for PV installation by the government results in the increase in the cost of reverse current care.