Impact of the Economic Environment Modelling for the Optimal Design of a Multi-Energy Microgrid

被引:0
|
作者
Rigo-Mariani, Remy [1 ]
Wae, Sean Ooi Chea [2 ]
Mazzoni, Stefano [2 ]
机构
[1] Univ Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France
[2] Nanyang Technol Univ, Energy Res Inst NTU, Singapore, Singapore
来源
IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2020年
关键词
Multi-Energy; Optimal Planning; Stochastic Optimization; Linear Programming Introduction; ENERGY; OPTIMIZATION;
D O I
10.1109/iecon43393.2020.9254730
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper discusses the impact of the problem formulation for the optimal design of a multi-energy microgrid. The study shows that the energy rates affect the output results much more than any other parameter such as the cost of equipment or the assets efficiencies (ratio 1 to 100). The main focus of the paper is then the representation of the economic environment for such a planning problems. Five different modeling approaches are investigated with both deterministic and stochastic methods (scenario-based formulation), as well as constant or increasing rates along the planning horizon. The obtained results show great impacts on the installed capacities (variations from simple to triple for the gas engine rated power), while the objective function (i.e. system cost of ownership) displays small variations less than 5 % with the different sets of hypothesis. The papers then concludes on a recommendation to present the results in terms of optimal areas instead of a single global optimum for such problems.
引用
收藏
页码:1837 / 1842
页数:6
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