Carbon Flow Estimation in Multi-microgrids Considering Data Sharing Mechanisms

Abstract

National commission to peak carbon dioxide emissions before 2030 and achieve carbon neutrality before 2060 has brought new requirements for decarbonization in the power system which also has brought a boost in microgrids. Carbon flow tracing in the power system helps allocate carbon responsibilities to users and power plants to optimize electricity behaviors. Carbon flow analyzing models developed are based on calculation results of power flow. While in practical applications, only power measurements from AMI might be available for users and the measurements in microgrids might not be shared. Thus, network estimation should be carried out before the responsibilities allocation of carbon usage, which we called carbon flow estimation in this paper. Two carbon flow estimation models considering losses or not and carbon flow estimation methods in multi-microgrids with four different data-sharing mechanisms are proposed in this paper. A modified IEEE 14-bus system example has been carried out to prove its validity.