 Day-ahead dispatch of integrated electric-heat systems considering weather-parameter-driven residential thermal demandsCheng Wang, Chuang Liu, Yuzhang Lin and Tianshu Bi Energy, 2020, vol. 203, issue C Abstract: Weather parameters, such as outdoor temperature, solar radiation, and wind velocity, not only affect the residential thermal demands (RTDs) but also are the key influencing factors of renewable power generation outputs (RPGOs). This paper aims to make up for the insufficient modeling efforts in coordinating the endogenous correlated RTDs and RPGOs for the scheduling of the integrated electric-heat system (IEHS). The tractable residential thermal balance equation is derived considering the impacts of weather parameters. Then, a scenario-based two-stage stochastic dispatch model for the IEHS is proposed, where the regional weather parameters are employed to generate the scenarios of the RTDs and RPGOs. The simulation results verify the necessity of considering multiple weather parameters in RTD modeling, as well as coordinating RTDs and RPGOs in IEHS dispatch. Keywords: Weather parameters; Residential thermal load modeling; Integrated electric-heat system; Renewable power generation; Day-ahead dispatch (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:203:y:2020:i:c:s0360544220309543 DOI: 10.1016/j.energy.2020.117847 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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