Integrated Optimal Power Flow for Distribution Networks in Local and Urban Scales

Xiandong Xu, Kang Li, Yang Liu, Hongjie Jia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
426 Downloads (Pure)

Abstract

This paper develops an integrated optimal power flow (OPF) tool for distribution networks in two spatial scales. In the local scale, the distribution network, the natural gas network,and the heat system are coordinated as a microgrid. In the urban scale, the impact of natural gas network is considered as constraints for the distribution network operation. The proposed approach incorporates unbalance three-phase electrical systems,natural gas systems, and combined cooling, heating, and power systems. The interactions among the above three energy systems are described by energy hub model combined with components capacity constraints. In order to efficiently accommodate the nonlinear constraint optimization problem, particle swarm optimization algorithm is employed to set the control variables in the OPF problem. Numerical studies indicate that by using the OPF method, the distribution network can be economically operated. Also, the tie-line power can be effectively managed.
Original languageEnglish
Title of host publication2016 UKACC 11th International Conference on Control (CONTROL)
Publisher IEEE
Number of pages7
ISBN (Electronic)978-1-4673-9891-6
ISBN (Print)978-1-4673-9892-3
DOIs
Publication statusPublished - 10 Nov 2016
Event11th UKACC International Conference on Control (Control 2016) - Queen's University Belfast, Belfast, United Kingdom
Duration: 31 Aug 201602 Sep 2016

Conference

Conference11th UKACC International Conference on Control (Control 2016)
CountryUnited Kingdom
CityBelfast
Period31/08/201602/09/2016

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  • Cite this

    Xu, X., Li, K., Liu, Y., & Jia, H. (2016). Integrated Optimal Power Flow for Distribution Networks in Local and Urban Scales. In 2016 UKACC 11th International Conference on Control (CONTROL) IEEE . https://doi.org/10.1109/CONTROL.2016.7737523