Dynamic State Estimation of Combined Heat and Power System Considering Quasi-Dynamics of Temperature in Pipelines

Abstract

This paper presents an iterative approach to jointly estimate the states in combined heat and power systems (CHPS). The node method is used to address the temperature quasi-dynamics in the district heating system (DHS), resulting in a dynamic state estimation (DSE) model. An alternating estimation strategy is employed to effectively handle the complicated time-delay constraints of temperature in the computation of DSE. Case studies are conducted on two CHPS test systems to verify the effectiveness of the DSE and the alternating approach. Simulation results show that the DSE in CHPS outperforms the static state estimation and the separate state estimation in individual energy systems in terms of accuracy.