Multi-objective voltage optimisation trade-off assessment for coupled HV and LV networks

Hani Gharavi Ahangar, Xueqin Liu, Sean McLoone

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Abstract

Real-time HV and LV network voltage optimisation and control are receiving significant attention from both academia and industry as a means of reducing consumer power consumption and increasing the capacity for utilization of low carbon technologies. In this study, a multi-objective optimisation problem involving the twin objectives of HV network loss reduction and LV network energy consumption reduction is considered. The potential trade-off that may exist between these two objectives is investigated using a detailed openDSS simulation of a coupled HV/LV network in the greater Manchester area in the UK. Optimisation of the voltage control devices is performed using a warm start oriented discrete coordinate descent method with a decomposition weighting technique employed to assess the trade-off between the objectives. The results show that, while a trade-off does exist, the much larger scale of LV energy reduction compared to the increase in HV losses means that the latter dominates the optimisation. When the objective functions are given equal weighting an 8.3% and 10.1% reduction is achieved in LV energy consumption and HV energy loss, respectively, compared to nominal operation.
Original languageEnglish
Title of host publicationUniversities Power Engineering Conference (UPEC), 2017 52nd International
Publisher IEEE
Pages1-6
Number of pages6
ISBN (Print)9781538623459
DOIs
Publication statusPublished - 21 Dec 2017
Event52nd International Universities Power Engineering Conference (UPEC) - Heraklion, Greece
Duration: 28 Aug 201731 Aug 2017
Conference number: 52

Conference

Conference52nd International Universities Power Engineering Conference (UPEC)
Abbreviated titleUPEC
CountryGreece
CityHeraklion
Period28/08/201731/08/2017

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    Gharavi Ahangar, H., Liu, X., & McLoone, S. (2017). Multi-objective voltage optimisation trade-off assessment for coupled HV and LV networks. In Universities Power Engineering Conference (UPEC), 2017 52nd International (pp. 1-6). [ 17451226] IEEE . https://doi.org/10.1109/UPEC.2017.8232013