A Digital Twin Integrated Cyber-physical Systems for Community Energy Trading

Abstract

There is a need for an efficient methodology for modelling digital replicas for microgrid systems that can be used for multiple applications and ensure the reliable operation of the microgrid. In this paper, we present a whole system model-based design of peer-to-peer energy trading (P2P-ET) among prosumers in a grid-connected community microgrid. The model consists of a power system component with distributed resources; an energy storage system (ESS) with heuristic and optimised control policy; and two P2P market paradigms: bill sharing and mid-market rate, which estimates the financial benefit to the community. Simulated transaction facilitated through a case study of P2P-E $T$ between prosumers illustrates the impact of transaction on grid voltage, ESS and individual household bills. Results show that the energy bought from grid by the community is reduced by 15.36% when optimised ESS policy is used over the heuristic policy. Also, the P2P-ET reduces individual household bill in the community by at least 11.3%.