Cover Image

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

An overview of numerical and mathematical modelling -based distributed generation (DG) system optimisation techniques is presented in this review paper. The objective is to compare different aspects of these two broad classes of DG optimisation techniques, explore their applications, and identify po...

Full description

Saved in:
Bibliographic Details
Main Authors: Theo, W. L., Lim, J. S., Ho, W. S., Hashim, H, Lee, C. T.
Format: Article
Published: 2017
Subjects:
QD Chemistry
Online Access:http://eprints.utm.my/id/eprint/80412/
http://dx.doi.org/10.1016/j.rser.2016.09.063
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.80412
record_format eprints
spelling my.utm.804122019-05-22T01:17:33Z http://eprints.utm.my/id/eprint/80412/ Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods Theo, W. L. Lim, J. S. Ho, W. S. Hashim, H Lee, C. T. QD Chemistry An overview of numerical and mathematical modelling -based distributed generation (DG) system optimisation techniques is presented in this review paper. The objective is to compare different aspects of these two broad classes of DG optimisation techniques, explore their applications, and identify potential research directions from reviewed studies. Introductory descriptions of general electrical power system and DG system are first provided, followed by reviews on renewable resource assessment, load demand analysis, model formulation, and optimisation techniques. In renewable resource assessment model review, uncertain solar and wind energy resources are emphasised whereas applications of forecasting models have been highlighted based on their prediction horizons, computational power requirement, and training data intensity. For DG optimisation framework, (solar, wind and tidal) power generator, energy storage and energy balance models are discussed; in optimisation technique section, both numerical and mathematical modelling optimisation methods are reviewed, analysed and criticised with recommendations for their improvements. In overall, this review provides preliminary guidelines, research gaps and recommendations for developing a better and more user-friendly DG energy planning optimisation tool. 2017 Article PeerReviewed Theo, W. L. and Lim, J. S. and Ho, W. S. and Hashim, H and Lee, C. T. (2017) Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods. Renewable & Sustainable Energy Reviews, 67 . pp. 531-573. ISSN 1364-0321 http://dx.doi.org/10.1016/j.rser.2016.09.063 DOI:10.1016/j.rser.2016.09.063
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QD Chemistry
spellingShingle QD Chemistry
Theo, W. L.
Lim, J. S.
Ho, W. S.
Hashim, H
Lee, C. T.
Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
description An overview of numerical and mathematical modelling -based distributed generation (DG) system optimisation techniques is presented in this review paper. The objective is to compare different aspects of these two broad classes of DG optimisation techniques, explore their applications, and identify potential research directions from reviewed studies. Introductory descriptions of general electrical power system and DG system are first provided, followed by reviews on renewable resource assessment, load demand analysis, model formulation, and optimisation techniques. In renewable resource assessment model review, uncertain solar and wind energy resources are emphasised whereas applications of forecasting models have been highlighted based on their prediction horizons, computational power requirement, and training data intensity. For DG optimisation framework, (solar, wind and tidal) power generator, energy storage and energy balance models are discussed; in optimisation technique section, both numerical and mathematical modelling optimisation methods are reviewed, analysed and criticised with recommendations for their improvements. In overall, this review provides preliminary guidelines, research gaps and recommendations for developing a better and more user-friendly DG energy planning optimisation tool.
format Article
author Theo, W. L.
Lim, J. S.
Ho, W. S.
Hashim, H
Lee, C. T.
author_facet Theo, W. L.
Lim, J. S.
Ho, W. S.
Hashim, H
Lee, C. T.
author_sort Theo, W. L.
title Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
title_short Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
title_full Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
title_fullStr Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
title_full_unstemmed Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
title_sort review of distributed generation (dg) system planning and optimisation techniques: comparison of numerical and mathematical modelling methods
publishDate 2017
url http://eprints.utm.my/id/eprint/80412/
http://dx.doi.org/10.1016/j.rser.2016.09.063
_version_ 1643658405085184000
score 13.211869

Similar Items