Abstract
This paper describes the development of a control algorithm for a battery energy storage system, which is connected to a residential low voltage grid. By predicting future load demand and photovoltaic production within the neighbourhood concerned, flattening of the aggregated neighbourhood electricity demand is pursued. Historical electricity consumption data and weather predictions are incorporated into the prediction algorithm in order to achieve a further improvement of prediction accuracy, and with that a reduction of peak-load.
Original language | English |
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Title of host publication | Proceedings of the 2015 IEEE PowerTech Conference, June 29 - July 2 2015, Eindhoven, The Netherlands |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1-6 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 29 Jul 2015 |
Event | 2015 IEEE Power Tech - Eindhoven, Netherlands Duration: 29 Jun 2015 → 2 Jul 2015 http://powertech2015-eindhoven.tue.nl/ |
Conference
Conference | 2015 IEEE Power Tech |
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Country/Territory | Netherlands |
City | Eindhoven |
Period | 29/06/15 → 2/07/15 |
Internet address |