کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
242988 | 501915 | 2013 | 10 صفحه PDF | دانلود رایگان |
A distributed energy system is a multi-input and multi-output energy system with substantial energy, economic and environmental benefits. The optimal design of such a complex system under energy demand and supply uncertainty poses significant challenges in terms of both modelling and corresponding solution strategies. This paper proposes a two-stage stochastic programming model for the optimal design of distributed energy systems. A two-stage decomposition based solution strategy is used to solve the optimization problem with genetic algorithm performing the search on the first stage variables and a Monte Carlo method dealing with uncertainty in the second stage. The model is applied to the planning of a distributed energy system in a hotel. Detailed computational results are presented and compared with those generated by a deterministic model. The impacts of demand and supply uncertainty on the optimal design of distributed energy systems are systematically investigated using proposed modelling framework and solution approach.
► The optimal design of distributed energy systems under uncertainty is studied.
► A stochastic model is developed using genetic algorithm and Monte Carlo method.
► The proposed system possesses inherent robustness under uncertainty.
► The inherent robustness is due to energy storage facilities and grid connection.
Journal: Applied Energy - Volume 103, March 2013, Pages 135–144