A renewables-based load-balancing energy management system for energy internet

Abstract

In the recent literature, the architecture of energy internet was proposed to replace the current smart grid in the future. However, the energy sharing concept and the uncertainties of intermittent energy sources will cause the short-term energy management for the future energy internet much more complicated than current centralized control energy management for traditional power generation system. To the best of our knowledge, no researcher has addressed on the above-mentioned short-term energy management problems for the future energy internet so far. Accordingly, a hierarchical day-ahead energy management system based on the architecture of energy internet is proposed in this work to tackle the complex energy management problems. We first collect electricity consumption data from smart appliances used in households and predict power generating capacity of renewable energy sources at the microgrid level. Then, regional energy routers are employed to schedule the usage of electricity for the customers by considering the efficiency of the use of distributed renewables. The experimental results show that the proposed system can mitigate the dependency on traditional power plants effectively, and balance peak and off-peak load of electricity market.