Instantaneous, Short-Term and Predictive Long-Term Power Balancing Techniques in Intelligent Distribution Grids

Technological Innovation for the Internet of Things SE - 37 2013
Aleksandrs Suzdaļenko, Iļja Galkins

An increased number of distributed small generators connected to the power grid allows higher total efficiency and higher stability of electrical power supply by exporting energy to the grid to be achieved during peak demand hours. On the other hand, it poses new challenges in structuring and developing the control ap-proaches for these distributed energy resources. This paper proposes an im-proved method of real-time power balancing targeted to reaching long-term ener-gy management objectives. The novel long-term energy management technique is proposed, that is based on load categorization and regulation of energy consump-tion by regulating electricity price function estimated with the proposed mathe-matical model. The method was evaluated by a LabVIEW model by simulating various types of loads. The price function for the defined energy generation pat-tern from renewable energy sources was obtained.

Keywords
Energy Management; Instantaneous Power Balancing; Intelligent Distribution Grid; Nanogrid; Pricing; Short-Term Energy Management
DOI
10.1007/978-3-642-37291-9_37
Hyperlink
http://link.springer.com/chapter/10.1007/978-3-642-37291-9_37

Suzdaļenko, A., Galkins, I. Instantaneous, Short-Term and Predictive Long-Term Power Balancing Techniques in Intelligent Distribution Grids. In: Technological Innovation for the Internet of Things SE - 37, Portugal, Lisabon, 15-17 April, 2013. Berlin: Springer, 2013, pp.343-350. ISBN 978-3-642-37290-2. e-ISBN 978-3-642-37291-9. ISSN 1868-4238. Available from: doi:10.1007/978-3-642-37291-9_37

Publication language
English (en)