期刊
APPLIED ENERGY
卷 229, 期 -, 页码 841-857出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2018.08.018
关键词
Energy management; Stochastic optimization; Charging station; Vehicle-to-grid; Sample average approximation
This paper studied a collaborative decision model to optimize electricity flow among commercial buildings, electric vehicle (EV) charging stations, and the grid under power demand uncertainty. We propose a two-stage stochastic programming model that realistically captures different operational constraints between multiple commercial buildings and EV charging stations. We developed a customized solution approach based on Sample Average Approximation method that can solve the proposed model efficiently and accurately. Finally, a real-life case study is constructed that draws managerial insights into how different key input parameters (e.g., grid power unavailability, power collaboration restriction) affect the overall energy network design and cost.
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