Multi-objective optimal hybrid power flow algorithm for integrated local area energy system

Lin, Wei, Jin, Xiaolong, Mu, Yunfei, Jia, Hongjie, Xu, Xiandong ORCID: https://orcid.org/0000-0003-0449-8929 and Yu, Xiaodan 2017. Multi-objective optimal hybrid power flow algorithm for integrated local area energy system. Proceedings of the CSEE: Smart Grid 37 (20) , pp. 5829-5839. 10.13334/j.0258-8013.pcsee.161886

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Abstract

A multi-objective optimal hybrid power flow algorithm was proposed for multi-objective scheduling and management of the integrated local area energy system (ILAES). Firstly, an energy flow analysis model for the energy center was developed based on the energy hub model. Then, a multi-objective optimal hybrid power flow algorithm was proposed to minimize the operation cost and total emission of the ILAES considering the constraints from unbalanced three-phase electric distribution network, the natural gas network and the energy centers. The proposed multi-objective optimal hybrid power flow algorithm can be further used in the optimal day-ahead scheduling for the ILAES, which considers the ILAES’s multiple operation needs in aspects of security, economy and environmental friendliness. Numerical results show that the proposed algorithm can be used in the steady-state analysis of the ILAES and multi-objective optimal scheduling for the ILAES.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Date of Acceptance:	9 August 2017
Last Modified:	25 Oct 2022 13:53
URI:	https://orca.cardiff.ac.uk/id/eprint/121036

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