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

Wei Lin, Xiaolong Jin, Yunfei Mu, Hongjie Jia, Xiandong Xu, Xiaodan Yu and Bo Zhao

Applied Energy, 2018, vol. 216, issue C, 428-441

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.

Keywords: Integrated community energy system (ICES); Energy center (EC); Multi-objective optimal power flow (MOPF); Multiple attributes decision making (MADM); Optimal day-ahead scheduling (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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DOI: 10.1016/j.apenergy.2018.01.007

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