Xu, X, Jin, X, Jia, H et al. (2 more authors) (2015) Hierarchical management for integrated community energy systems. Applied Energy, 160. pp. 231-243. ISSN 0306-2619
Abstract
Due to the presence of combined heat and power plants (CHP) and thermostatically control loads, heat, natural gas, and electric power systems are tightly coupled in community areas. However, the coordination among these systems has not yet been fully researched, especially with the integration of renewable energy. This paper aims to develop a hierarchical approach for an integrated community energy system (ICES). The proposed hierarchical framework is presented as day-ahead scheduling and two-layer intra-hour adjustment systems. Two objectives, namely the operating cost minimization and tie-line power smoothing, are integrated into the framework. In the intra-hour adjustment, a master–client structure is designed. The CHP and thermostatically controlled loads are coordinated by a method with two different time scales in order to execute the schedule and handle uncertainties from the load demand and the renewable generation. To obtain the optimal set-points for the CHP, an integrated optimal power flow method is developed, which also incorporates three-phase electric power flow and natural gas flow constraints. Furthermore, based on a time priority list method, a three-phase demand response approach is proposed to dispatch thermostatically controlled loads at different phases and locations. Numerical studies confirm that the ICES can be economically operated, and the tie-line power between the ICES and external energy network can be effectively smoothed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Crown Copyright © 2015 Published by Elsevier Ltd. This is an author produced version of a paper published in Applied Energy. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Hierarchical management; Integrated community energy system (ICES); Two-layered scheduling; Integrated optimal power flow (IOPF); Three-phase demand response |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Mar 2019 16:29 |
Last Modified: | 27 Mar 2019 16:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.apenergy.2015.08.134 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:144197 |
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