An optimal operation model of energy internet considering the multi-time-scale stochastic characteristics of renewable energy sources

With the increasing penetration of renewable energy sources (RES) and strong coupling between electric power systems and other forms of energy, there are vast opportunities and challenges for every practitioner in energy field, especially so many stochastic characteristics to suppress, such as wind, photovoltaic and load demand. This manuscript establishes an integrated optimal operation model of energy internet considering the multi-time-scale stochastic characteristics of RES. Finally, the particle swarm optimization (PSO) algorithm is applied to the optimization of the proposed model and the simulation results show that the proposed model is correct and effective.