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Development and testing of a micro-grid excess power production forecasting algorithms

Mavrigiannaki Angeliki, Kampelis Nikolaos, Kolokotsa Dionysia, Marchegiani Daniele, Standardi, Laura, Isidori Daniela, Christalli Cristina

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URI: http://purl.tuc.gr/dl/dias/1B444A3F-569E-48AB-9C37-A8C987EA5907
Year 2017
Type of Item Conference Full Paper
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Bibliographic Citation A. Mavrigiannaki, N. Kampelis, D. Kolokotsa, D. Marchegiani, L. Standardi, D. Isidori and C. Christalli, "Development and testing of a micro-grid excess power production forecasting algorithms," in 9th International Conference on Sustainability and Energy in Buildings, 2017, pp. 654-663. doi: 10.1016/j.egypro.2017.09.583
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Summary

Traditional electricity grids lack flexibility in power generation and load operation in contrast to smart-micro grids that form semi-autonomous entities with energy management capabilities. Load forecasting is invaluable to smart micro-grids towards assisting the implementation of energy management schedules for cost-efficient and secure operation. In the present paper is examined the 24h forecasting of excess production in an existing micro-grid. Alternative input parameters are considered for achieving an accurate prediction. The prediction can be used for scheduling the charging process of a thermal storage during weekends based on excess power production levels.

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