A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources
Xin Qin,
Hongbin Sun,
Xinwei Shen,
Ye Guo,
Qinglai Guo and
Tian Xia
Applied Energy, 2019, vol. 251, issue C, -
Abstract:
The deployment of the electric-heat coupling Integrated Energy System (IES) with distributed energy resources (DERs) integrated has benefited the environment for improving energy efficiency and reducing carbon emission. The accurate calculation of IES power flow helps to meet the demand of users better and quantify the flexibility of IES for accommodating more renewables. However, modeling and calculating the power flow of IES become challenging because of the DERs and the different characteristics of electricity and heat such as system dynamic process, network topology and control mechanism. To overcome the challenges in existing IES model, this paper proposes a generalized quasi-dynamic model and a decomposition-iteration solving method for the electric-heat coupling IES, which considers the heat dynamic process, meshed network topology, multiple DERs and variable mass flow simultaneously. From the results of case studies, the proposed IES model has the average error of 0.09% compared with real measured data and surpasses commercial software in terms of pipe temperature dynamics, which demonstrates the accuracy and generality of the proposed model. Moreover, with several numerical tests, convergence analysis for the proposed model is also provided.
Keywords: Combined heat and power; District heat network; Power flow; Convergence analysis; Heat dynamic process; Distributed energy resource (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (36)
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DOI: 10.1016/j.apenergy.2019.05.073
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