Enhancing Power Quality and Energy Trading in Distribution Network Enabled with Blockchain

Abstract

This thesis aims to develop a methodology for optimizing energy flow in a distributed network characterized by a distributed system operator (DSO), energy management gateway (EMG), renewable energy (RE) sources and grid. The users of different buses will play a major role in optimizing the power flow, in addition to supplying the needed demand. Based on the location and size of renewables and stored energy, it is expected to reach the least power losses, cost, and voltage deviations possible in the network. The network is supported by blockchain to ensure secure and transparent transactions in addition to facilitating trading between peers. The network is subjected to time domain power flow (TDPF), Prophet forecast, and peer-to-peer (P2P) trading connected to a blockchain to reach optimal configuration.