Open AccessOptimisation framework for development of cost‐effective monitoring in distribution networks
Author(s) -
Liao Huilian,
Liu Zhixuan,
Milanović Jovica V.,
Woolley Nick C.
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0757
Subject(s) - particle swarm optimization , mathematical optimization , computer science , process (computing) , network topology , genetic algorithm , integer (computer science) , algorithm , mathematics , programming language , operating system
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.