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 pot...

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Veröffentlicht in:Renewable & sustainable energy reviews Jg. 67; S. 531 - 573
Hauptverfasser: Theo, Wai Lip, Lim, Jeng Shiun, Ho, Wai Shin, Hashim, Haslenda, Lee, Chew Tin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.01.2017
Schlagworte:
Distributed generation (DG)
Energy planning
Mathematical modelling methods
Numerical methods
Optimisation
Renewable resources
Mathematical modelling methods
Optimisation
Distributed generation (DG)
Numerical methods
Renewable resources
Energy planning
ISSN:1364-0321, 1879-0690
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Zusammenfassung: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.
ISSN:1364-0321
1879-0690
DOI:10.1016/j.rser.2016.09.063