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

Wai, Lip Theo and Jeng, Shiun Lim and Wai, Shin Ho and Hashim, Haslenda and Chew, Tin Lee (2017) Review of distributed generation (DG) system planning and optimisation techniques: comparison of numerical and mathematical modelling methods. Renewable and Sustainable Energy Reviews, 67 . pp. 531-573. ISSN 1364-0321

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Official URL: https://doi.org/10.1016/j.rser.2016.09.063

Abstract

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.

Item Type:Article
Additional Information:RADIS System Ref No:PB/2016/05160
Uncontrolled Keywords:energy planning, renewable resources
Subjects:T Technology > TP Chemical technology
Divisions:Chemical Engineering
ID Code:66465
Deposited By: Fazli Masari
Deposited On:03 Oct 2017 16:18
Last Modified:03 Oct 2017 16:18

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