Abstract
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 approaches for these distributed energy resources. This paper proposes an improved method of real-time power balancing targeted to reaching long-term energy management objectives. The novel long-term energy management technique is proposed, that is based on load categorization and regulation of energy consumption by regulating electricity price function estimated with the proposed mathematical model. The method was evaluated by a LabVIEW model by simulating various types of loads. The price function for the defined energy generation pattern from renewable energy sources was obtained.
Chapter PDF
Similar content being viewed by others
Keywords
References
Masson, G., Latour, M., Biancardi, D.: Global market outlook for photovoltaic until 2016, Brussels (2012)
Jimeno, J., Anduaga, J.: Architecture of a microgrid energy management system. European Transactions on Electrical Power 21, 1142–1158 (2011)
Vermesan, O., Friess, P.: Internet of things strategic research roadmap (2009)
Smith, I.G.: Internet of Things 2012 New Horizons, Halifax (2012)
Atzori, L., Iera, A., Morabito, G.: The Internet of Things: A survey. Computer Networks 54, 2787–2805 (2010)
Bryan, J., Duke, R., Round, S.: Decentralized generator scheduling in a nanogrid using DC bus signaling. In: Power Engineering Society General Meeting, vol. 1, pp. 977–982. IEEE (2004)
Cvetkovic, I., Dong, D., Zhang, W., Jiang, L., Boroyevich, D., Lee, F.C., Mattavelli, P.: A Testbed for Experimental Validation of a Low-voltage DC Nanogrid for Buildings. In: 2012 15th International Power Electronics and Motion Control Conference, EPE/PEMC, pp. LS7c.51–LS7c.58 (2012)
Piagi, P., Lasseter, R.H.: Autonomous control of microgrids. In: Power Engineering Society General Meeting, p. 8. IEEE (2006)
Guerrero, J.M., Vasquez, J.C., Teodorescu, R.: Hierarchical control of droop-controlled AC and DC microgrids—a general approach toward standardization. In: Industrial Electronics Conference, pp. 4341–4346 (2011)
Schonberger, J., Round, S., Duke, R.: Autonomous Load Shedding in a Nanogrid using DC Bus Signalling. In: 32nd Annual Conference on IEEE Industrial Electronics, IECON 2006, pp. 5155–5160 (2006)
Kanchev, H., Lu, D., Colas, F., Lazarov, V., Francois, B.: Energy Management and Operational Planning of a Microgrid With a PV-Based Active Generator for Smart Grid Applications. IEEE Transactions on Industrial Electronics 58, 4583–4592 (2011)
Reddy, Y.J., Kumar, Y.V.P., Kumar, V.S., Raju, K.P.: Distributed ANNs in a Layered Architecture for Energy Management and Maintenance Scheduling of Renewable Energy HPS Microgrids (2012)
Logenthiran, T., Srinivasan, D.: Short term generation scheduling of a Microgrid. In: TENCON 2009 - 2009 IEEE Region 10 Conference, pp. 1–6 (2009)
Ogimoto, K.: Optimum Operation Scheduling Model of Domestic Electric Appliances for Balancing Power Supply and Demand (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 IFIP International Federation for Information Processing
About this paper
Cite this paper
Suzdalenko, A., Galkin, I. (2013). Instantaneous, Short-Term and Predictive Long-Term Power Balancing Techniques in Intelligent Distribution Grids. In: Camarinha-Matos, L.M., Tomic, S., Graça, P. (eds) Technological Innovation for the Internet of Things. DoCEIS 2013. IFIP Advances in Information and Communication Technology, vol 394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37291-9_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-37291-9_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37290-2
Online ISBN: 978-3-642-37291-9
eBook Packages: Computer ScienceComputer Science (R0)