Electric-Thermal Joint State Estimation Method for Oilfield Micro-Energy Network

Oilfield Micro-Energy Network (OMEN) is a coupling system of DC microgrid and heating network. To achieve accurate perception of the operating status of OMEN, state estimation (SE) is required. Therefore, this paper proposes an electric-thermal joint state estimation method for OMEN. Firstly, the measurement model of oilfield DC microgrid and the measurement model of coupling equipment are established, and the influence of the coupling link on the measurement redundancy and result accuracy is analyzed. Then, considering the independence of DC microgrid and heating network in OMEN and the coupling relationship between them, a distributed solution algorithm is adopted to improve the accuracy of the results. Finally, the case is simulated and analyzed by Matlab to verify the effectiveness of this state estimation method in result accuracy and computational efficiency.