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Automated demand side management in microgrids using load recognition

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3 Author(s)
Adeel Abbas Zaidi ; Institute of Computer Technology, Vienna University of Technology, Gusshausstrasse 27-29, 1040, Austria ; Tehseen Zia ; Friederich Kupzog

Microgrids missing a tie-line to a supporting grid may suffer from a lack of power generation. This is especially the case if they are heavily based on renewable energy resources as e.g. in remote area electrification. This paper follows a demand side management approach, where unessential loads get selectively disconnected from the grid in an under-generation scenario. In order to automatically detect unessential loads, load recognition on the basis of measured consumption data can be performed. In this article, different approaches for automatic load recognition are analyzed. It is found that especially a Hidden Markov Model based approach is suitable to fulfill the given task and provide good recognition rates. The recognition system is aimed to be part of a novel control architecture for off-grid microgrids in developing countries.

Published in:

2010 8th IEEE International Conference on Industrial Informatics

Date of Conference:

13-16 July 2010