Performance Optimisation of Standalone and Grid Connected Microgrid Clusters

Remote areas usually supplied by isolated electricity systems known as microgrids which can operate in standalone and grid-connected mode. This research focus on reliable operation of microgrids with minimal fuel consumption and maximal renewables penetration, ensuring least voltage and frequency de...

Full description

Bibliographic Details
Main Author: Batool, Munira
Format: Thesis
Published: Curtin University 2018
Online Access:http://hdl.handle.net/20.500.11937/73584
_version_ 1848763452864069632
author Batool, Munira
author_facet Batool, Munira
author_sort Batool, Munira
building Curtin Institutional Repository
collection Online Access
description Remote areas usually supplied by isolated electricity systems known as microgrids which can operate in standalone and grid-connected mode. This research focus on reliable operation of microgrids with minimal fuel consumption and maximal renewables penetration, ensuring least voltage and frequency deviations. These problems can be solved by an optimisation-based technique. The objective function is formulated and solved with a Genetic Algorithm approach and performance of the proposal is evaluated by exhaustive numerical analyses in Matlab.
first_indexed 2025-11-14T11:03:42Z
format Thesis
id curtin-20.500.11937-73584
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:03:42Z
publishDate 2018
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-735842019-04-09T06:58:44Z Performance Optimisation of Standalone and Grid Connected Microgrid Clusters Batool, Munira Remote areas usually supplied by isolated electricity systems known as microgrids which can operate in standalone and grid-connected mode. This research focus on reliable operation of microgrids with minimal fuel consumption and maximal renewables penetration, ensuring least voltage and frequency deviations. These problems can be solved by an optimisation-based technique. The objective function is formulated and solved with a Genetic Algorithm approach and performance of the proposal is evaluated by exhaustive numerical analyses in Matlab. 2018 Thesis http://hdl.handle.net/20.500.11937/73584 Curtin University fulltext
spellingShingle Batool, Munira
Performance Optimisation of Standalone and Grid Connected Microgrid Clusters
title Performance Optimisation of Standalone and Grid Connected Microgrid Clusters
title_full Performance Optimisation of Standalone and Grid Connected Microgrid Clusters
title_fullStr Performance Optimisation of Standalone and Grid Connected Microgrid Clusters
title_full_unstemmed Performance Optimisation of Standalone and Grid Connected Microgrid Clusters
title_short Performance Optimisation of Standalone and Grid Connected Microgrid Clusters
title_sort performance optimisation of standalone and grid connected microgrid clusters
url http://hdl.handle.net/20.500.11937/73584