文章基本信息

标题：A Micro-Grid Energy Management Strategy Integrating Photovoltaic Energy Prediction ⁎
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作者：Daniele Ioli ; Alessandro Falsone ; Axel Busboom 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：13012-13017
DOI：10.1016/j.ifacol.2020.12.2163
语种：English
出版社：Elsevier
摘要：AbstractThis paper deals with the integration in the electrical grid of distributed generation from renewables through energy management operations at the micro-grid level. We consider a micro-grid with a solar power plant and propose an energy management strategy that sets the energy exchange with the main grid during a one-day time horizon so as to minimize the electrical energy costs. In order to counteract uncertainty, the proposed strategy implements a predictive approach that decides at each time step how to operate the micro-grid on the residual time horizon based on a forecast of the photovoltaic energy production. To this purpose, we introduce a predictor of the photovoltaic energy production that is designed based on historical data. Validation on a testbed and simulation results show that the proposed method is promising.
关键词：KeywordsSmart gridenergy managementsolar energy predictionpredictive control