Intelligent and Soft Computing Systems for Green Energy

8Energy Trading in Virtual Power Plant Enabled Communities Using Double Auction Technique and Blockchain Technology

Radhika Yadav, Balla Manoj Kumar, Saurav Baid and Padma Priya R.*

School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

Abstract

Recently it has been observed that the occurrences of power outages are increasing. Two plausible reasons for this are the boom in power consumption due to the proliferation of more interconnected devices and the inflexibility of traditional power grids to adapt to changing demands. Smart grids have been an alternative for traditional grids. However, the inherent intermittent characteristics of smart grids are a challenge. Virtual Power Plant (VPP) is a demand-side management approach that manages Distributed Energy Resources (DERs) by virtual aggregations. However, in such transactions the data being handled may be compromised, which leads to several vulnerability issues. Hence in this paper we have focused on proposing an energy trading approach which is both efficient and secured with concerns to embrace social welfare requirements as well. In our model we have considered three objectives: a) to maximize the profits for buyers and sellers in the market through a Double Auction based algorithm, b) to ensure the most optimal route to be used for end-to-end transmission of energy supply among the chosen sellers and buyers, and c) to provide protection for the transactions being made during auction ...