Optimisation framework for development of cost-effective monitoring in distribution networks

Huilian Liao; Zhixuan Liu; Jovica V. Milanović; Nick C. Woolley

Optimisation framework for development of cost-effective monitoring in distribution networks

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Author(s): Huilian Liao ¹¹ ; Zhixuan Liu ¹¹ ; Jovica V. Milanović ¹¹ ; Nick C. Woolley ²²
- Affiliations: 1: Electrical Energy and Power Systems Group, School of Electrical and Electronic Engineering, The University of Manchester, Manchester M60 1QD, UK ;
  2: National Grid, London, UK
Source: Volume 10, Issue 1, 07 January 2016, p. 240 – 246
DOI: 10.1049/iet-gtd.2015.0757 , Print ISSN 1751-8687, Online ISSN 1751-8695

Received 20/06/2015, Accepted 16/09/2015, Revised 19/08/2015, Published 07/01/2016

This study presents a novel optimisation methodology, optimal placement of monitors (OPM_Power), for optimal device/monitor placement in distribution networks. OPM_Power is developed based on gradient search and particle swarm optimisation. The proposed method integrates network topology into search process via spanning trees and uses the historical experience for search guidance. The method is particularly suited for optimal placement problems in power systems. The application is illustrated on the problem of optimal monitor placement for estimation of voltage unbalance in a section of existing UK distribution network and in a generic distribution network. It is demonstrated that the proposed methodology outperforms generic integer optimisation algorithms which are widely used for optimal placement problems in the literature, for example genetic algorithms.

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