Impedance identification method of tree-shaped heating network based on bidirectional recurrence

To improve the practicability of heating network fault diagnosis model based on intelligence algorithm, proposes an impedance identification method of tree-shaped heating network based on bidirectional recurrence. Improves the conventional tree-shaped heating network model by adding pressure measuring nodes at the inlet and outlet of heating station. Based on the available pressure and flow rate data, solves the identification equations through multiple hydraulic condition combinations. Identifies the impedance by both forward recursive and back stepping method, and averages the results of bidirectional recurrence to reduce errors. Verification by a case shows that the method has relatively better practicability and can reach higher accuracy with fewer hydraulic conditions.