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

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• 作者：Wai Lip Theo^a ; Jeng Shiun Lim^b ; ^{jslim@cheme.utm.my" class="auth_mail" title="E-mail the corresponding author} ; Wai Shin Ho^b ; Haslenda Hashim^b ; Chew Tin Lee^a
• 关键词：Distributed generation (DG) ; Energy planning ; Renewable resources ; Numerical methods ; Mathematical modelling methods ; Optimisation
• 刊名：Renewable and Sustainable Energy Reviews
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：67
• 期：Complete
• 页码：531-573
• 全文大小：1366 K

文摘

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.