Identifying Isolated Microgrids in Rural Areas: An Evolutionary Algorithm Approach for a Graph Clustering Problem

Research output: Chapter in Book/Conference paperConference paper

Abstract

The clustering of networks in order to optimise one or more given objectives is a highly researched field with many real-world applications. One of these applications is the clustering of a current or potential future electricity network in order to identify an optimised network topology that could consist of microgrids and stand-alone power systems. This research paper gives a brief overview of the current applications of network partitioning and the different methodologies found in the literature. Then, a novel evolutionary algorithm approach is presented which optimises the topology of rural electricity distribution networks considering a problem-specific objective cost function. Given a set of electricity customer loads and locations, the aim is to identify optimal microgrid and standalone power system formations to minimise the total network costs over a certain time period. The latter part entails a brief introduction to microgrids and some theoretical background, a description of the evaluated cost function, and an outline of the problem-specific evolutionary algorithm used for optimising the network.

Original languageEnglish
Title of host publication2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages2498-2505
Number of pages8
ISBN (Electronic)9781728121536
DOIs
Publication statusPublished - 1 Jun 2019
Event2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Wellington, New Zealand
Duration: 10 Jun 201913 Jun 2019

Publication series

Name2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

Conference

Conference2019 IEEE Congress on Evolutionary Computation, CEC 2019
CountryNew Zealand
CityWellington
Period10/06/1913/06/19

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