State Estimation for Multi-energy Microgrids Based on Energy Circuit Theory and Pseudo-Measurement Modeling

Compared to single-energy system, multi-energy system has the advantages of high energy utilization and environmental friendliness. Multi-energy microgrid becomes a more advanced form of microgrid, consisting of electrical system, gas system and heating system. State estimation is an important data analysis method for observing the system state, which has already been used in electrical system. Due to the complexity of model and the sparsity of the measurements, it is hard to conduct state estimation of gas system. This study models the gas system based on the energy circuit theory and proposes the state estimation method for gas system. Regarding the sparsity of the gas system measurements, a pseudo-measurement modeling method based on dynamic interval energy flow calculation. The validation of the above methods is verified in a 9-node gas network.