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A two-stage multi-objective scheduling method for integrated community energy system

Lin, Wei, Jin, Xiaolong, Mu, Yunfei, Jia, Hongjie, Xu, Xiandong, Yu, Xiaodan and Zhao, Bo 2018. A two-stage multi-objective scheduling method for integrated community energy system. Applied Energy 216 , pp. 428-441. 10.1016/j.apenergy.2018.01.007

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Abstract

In order to determine the optimal day-ahead scheduling schemes of the integrated community energy system (ICES), a two-stage multi-objective scheduling method (TMSM) was proposed, which consists of a multi-objective optimal power flow (MOPF) calculation stage and a multiple attributes decision making (MADM) stage. Firstly, the electric distribution network, the natural gas network and the energy centers (ECs) of the ICES were modelled. Secondly, five typical indices are considered to characterize the operation of ICES, namely the operation cost (OC) and total emission (TE) of ICES, the power loss (PL) and sum of voltage deviation (SVD) of electric distribution network, the sum of pressure deviation (SPD) of natural gas network. In order to tackle the computation problems resulted by the increasing number of objectives, the dimension reduction of objectives is employed. The indices of OC and TE are selected based on the analytic hierarchy process (AHP) method and set as the objectives at the MOPF calculation stage. Thirdly, all the five indices are considered during the MADM stage to determine the final day-ahead scheduling schemes from the alternative solutions obtained in MOPF. Numerical studies demonstrate that the TMSM is able to provide flexibility for the operation of ICES. The determined optimum day-ahead scheduling schemes are capable of satisfying and balancing operational needs in aspects of security, economy and environmental friendliness.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0306-2619
Date of Acceptance: 2 January 2018
Last Modified: 19 Oct 2019 03:16
URI: http://orca-mwe.cf.ac.uk/id/eprint/120460

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