A Water Mass Method and Its Application to Integrated Heat and Electricity Dispatch Considering Thermal Dynamics
For power system operators, this work provides a more accurate dispatch model that leverages thermal dynamics to increase renewable energy integration, though the method is incremental.
This paper proposes an integrated heat and electricity dispatch model that accounts for thermal dynamics in district heating networks, using a water mass method to improve CHP unit flexibility and promote renewable energy accommodation. The model achieves better peak regulation than steady-state approaches, with feasibility and economy demonstrated in case studies.
Currently, most district heating networks are running in a heat-setting mode, limiting the adjustment of the electrical power of combined heat and power (CHP) units. By considering the electrical power system (EPS) and district heating system (DHS) together, the peak regulatory capability of CHP units can be improved and renewable energy accommodation can be promoted. In this paper, a tractable integrated heat and electricity dispatch (IHED) model is described that addresses the thermal dynamic characteristics of pipelines and buildings to increase flexibility. To deal with the complexity of the optimization model, a water mass method (WMM) for pipeline thermal dynamics is proposed. Benefiting from the WMM, the proposed IHED model is an ordinary, non-linear model. An iterative algorithm based on the generalized Benders decomposition, and a sequential approach combined with the iterative algorithm and IPOPT, are proposed to solve the IHED model. Compared with a steady state model without thermal dynamics, considering the thermal dynamic characteristics in the DHS can further expand the peak regulatory capabilities of CHP units. The WMM is tested in the thermal dynamic simulations compared to an existing node method and a commercial simulation software. And the proposed solution strategy is verified in a small-scale system and a practical system. The simulation results of case studies are discussed to demonstrate the feasibility and economy of the dispatch model proposed here.