A new framework for peer-to-peer energy sharing and coordination in the energy internet

• Published in: 2017 IEEE International Conference on Communications (ICC) pp. 1 - 6
• Main Authors: Yanglin Zhou, Song Ci, Hongjia Li, Yang Yang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2017
• Subjects: ADMM; Batteries; Companies; distributed optimization; Economics; Internet; Peer-to-peer computing; Renewable energy sources; Smart energy management
• ISSN: 1938-1883
• DOI: 10.1109/ICC.2017.7996424

Compared with the traditional power grid, Energy Internet is motivated by the concept of intelligent energy sharing and coordination, achieving higher penetration of renewable energy and economic saving. In this paper, we propose a new framework for the time-slotted Peer-to-Peer (P2P) energy sharing and coordination in Energy Internet, which aims to achieve flexible and efficient distributed energy management and control. In this framework, users are equipped with distributed generators (DGs), distributed energy storage systems (DESs) and smart meters; the P2P energy sharing fashion is supported, where users can buy/sell electric from/to utility company and their neighboring users. The energy sharing and coordination problem is formulated as a convex optimization problem with the objective to minimize the economic cost of users. Then, a distributed algorithm is proposed, in combination with alternating direction method of multipliers (ADMM). On the basis of a real-world dataset of renewable energy and real-time electricity price, both analytical and numerical results show the effectiveness of the proposed framework and algorithm in terms of not only fast convergence in a time slot but also economic saving prominently for a long time application.