Zonal mitigation of power quality using FACTS devices for provision of differentiated quality of electricity supply in networks with renewable generation

LIAO, Huilian, ABDELRAHMAN, Sami and MILANOVIC, Jovica (2017). Zonal mitigation of power quality using FACTS devices for provision of differentiated quality of electricity supply in networks with renewable generation. IEEE Transactions on Power Delivery, 32 (4), 1975-1985.

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Abstract

This paper presents the concept of provision of differentiated quality of electricity supply based on customers’ requirements in distribution networks. To fulfill this concept, five new gap indices are proposed to reflect the satisfaction of the received power quality (PQ) performance compared to the thresholds which are set based on customers’ requirements regarding the performance of individual PQ phenomenon or the aggregated PQ performance. Using these new indices as objective functions, an optimisation based mitigation strategy is proposed to carry out the strategic placement of different FACTS devices based on the analysis of PQ performance and sensitivity analysis. In this methodology, greedy algorithm is applied to search the optimal mitigation scheme in order to enable the provision of differentiated PQ levels. The feasibility of the proposed mitigation methodology is demonstrated using large scale generic distribution network. The advantages and disadvantages of using the proposed indices as the optimisation objective functions are also analysed in the paper.

Item Type:	Article
Additional Information:	“© 2016 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Identification Number:	https://doi.org/10.1109/TPWRD.2016.2585882
Page Range:	1975-1985
Depositing User:	Huilian Liao
Date Deposited:	24 Apr 2017 11:39
Last Modified:	17 Mar 2021 20:30
URI:	https://shura.shu.ac.uk/id/eprint/14209

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