A User-Side Intelligent Energy Decision Making Method Considering Grid-Load Interaction under Smart Grid

Comparing with power consumption under traditional grid, smart grid lays greater emphasis on diversity, flexibility and instant response. However, the types of devices in jurisdiction are diverse, and the operating characteristics are also various. It is difficult for user to make optimized power policy of different load in real-time and manually. This paper proposes a user-side intelligent energy decision making method considering grid-load interaction, which is based on the thought of hierarchical progression control. Taking the distributed generators, distribution lines, electrical devices and other factors into consideration, this method can solve the issue how to arrange for the jurisdiction devices to operate orderly and efficiently. This policy not only optimizes the users own energy management level, but also can assist users to participate in the grid peak load reduction actively, which can improve the overall energy efficiency finally.