Secure and Privacy-Friendly Local Electricity Trading in Smart Grid

Abstract

With the introduction of smart grid there became the feature of two-way communication by utilizing network technologies and Internet of things (IoT). Smart grids was introduced to provide fast and accurate data exchange to enhance the demand and response of energy compared to the one-way flow traditional grid which, was not able to accurately providing meters readings and manage them. Further, it was slow and it had security and delay issues. Moreover the power consumer Home Area Networks and their smart meters can also trade their surplus energy on an energy trading platform. On the contrary, the complex increase of interconnectivity had resulted in more issues. On the security level, the power users and traders needs to keep their information and identity secured at all cost. The issue with this is that, when malicious or a curious entity wants infer private information, the consumer cannot prevent them from knowing his identity nor he has complete control over his information and data. Furthermore, if one user did not comply with providing his meter readings this will result in an inaccurate aggregation results such that, it will affect the demand and response management. So, my contribution in this project is to utilize the power aggregation scheme introduced by cite{Reference5}, apply violation defense mechanism to deter nodes from cheating and provide the user with control over there identity and information from adversaries. Moreover, my framework will be built upon the Ethereum's blockchain to provide decentralization, integrity and security over the users information.