Privacy preserving renewable energy trading system for residential communities. (November 2022)

• Record Type: Journal Article
• Authors: Deng, Runze; Luo, Fengji; Yang, Jiajia; Huang, Da-Wen; Ranzi, Gianluca; Dong, Zhao Yang
• Is Part Of: International journal of electrical power & energy systems. Volume 142:Part B(2022)
• Publication Date: 2022-11
• Subjects: Distributed energy trading -- Demand side management -- Homomorphic encryption -- Smart grid; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2022.108367
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A new renewable energy trading system is proposed for residential communities. The proposed energy trading system is highly scalable. Homomorphic Encryption technology is introduced to protect user privacy. Extensive numerical simulations are conducted to validate the proposed system. Abstract: This paper proposes a new trading framework for enabling energy trading between end energy customers and a small-capacity Renewable Energy Plant (REP) in urban environments. To relieve the communication burden incurred by a large number of end customers who submit bids to purchase energy from the REP, the energy trading process is designed on a community basis. The end customers are grouped into multiple communities. With this approach, the proposed energy trading system coordinates the REP, the community energy management system in each community, and the local energy management system of each customer. The homomorphic encryption technology is integrated into the energy trading framework to enable the energy trading to be performed and settled without exposing individual customer's bidding energy purchase price and amount values. Extensive numerical simulations are conducted to validate the effectiveness of the proposed system.