Interaction and Joint State Estimation of Electric-gas-thermal Coupling Network

Abstract

At present, the research of energy network state estimation is mostly oriented to a single system or dual systems. Aiming at the increasingly close connection among various energy systems, the coupling relations and interactions between different sub-networks in an integrated energy network are studied, and a distributed state estimation (SE) method of an electric-gas-thermal coupling network based on multiple time scales is proposed according to the differences of various sub-networks' dynamics. Considering the coupling constraints between different sub-networks, a global consensus algorithm for state estimation based on the unscented Kalman filter algorithm is proposed to ensure that the state estimation results of the coupling network meet the boundary coupling constraints in different scenes. Finally, an electric-gas-thermal coupling network is established, and simulation analysis is performed to verify the correctness and effectiveness of the proposed method, which is of great significance for providing data support for building the energy management system for integrated energy systems.