Multi-region distributed state estimation method for natural gas system

A multi-region distributed state estimation method for natural gas system is proposed. A measurement model of the natural gas system is established, a node search partition method based on the balance area is proposed, and the node pressure in the gas network is used as the state estimation estimate to establish a multi-regional distributed natural gas system based on the weighted least squares algorithm. State estimation model, and Newton Raphson iterative method is used to solve the state estimation model. The correctness and effectiveness of the proposed method are verified through simulation examples in a 12-node system, and the estimation error and estimation duration are compared with the traditional centralized state. The estimation methods are compared. The simulation results show that the distributed state estimation method can effectively reduce the estimation error and estimation time, and is suitable for the state estimation of the network with more complex structure and larger measurement data volume.