An effective implementation of Internet of things for agile demand response

• Autorzy: Babar M. , Grela J. , Ozadowicz A. , Nguyen P. H. , Hanzelka Z. , Kamphuis I. G.

Identyfikatory

DOI

10.22149/teee.v2i2.112

• Konferencja: International Conference on Environment and Electrical Engineering (17 ; 06-09.06.2017 ; Milan, Italy)
• Języki publikacji: EN

Abstrakty

EN

Transactive based control mechanism (TCM) needs the IoT environment to fully explore flexibility potential from the end-users to offer to involved actors of the smart energy system. On the other hand, many IoT based energy management systems are already available to a market. This paper presents an ap-proach to connect the current demand-driven (top-down) energy management system (EMS) with a market-driven (bottom-up) demand response program. To this end, this paper considers multi-agent system (MAS) to realize the approach and introduces the concept and standardize design of Agilometer. It is described as an elemental agent of the approach. Proposed by authors Agilometer consists of three different functional blocks, which are formulated as an IoT platform according to the LonWorks standard. Moreover, the paper also performs an evaluation study in order to validate the proposed concept and design.

Słowa kluczowe

EN

demand response; energy management system; Internet of things; transactive based control mechanism; smart metering

• Wydawca: EEEIC International Publishing
• Czasopismo: Transactions on Environment and Electrical Engineering
• Rocznik: 2017
• Tom: Vol. 2, No. 2
• Strony: 58--63
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Babar M.

• Electrical Energy Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
• AGH University of Science and Technology, Krakow, Poland, Netherlands Electrical Energy Systems Group, Department of Electrical Engineering

autor

Grela J.

• Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering AGH University of Science and Technology, Krakow, Poland

autor

Ozadowicz A.

• Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering AGH University of Science and Technology, Krakow, Poland

autor

Nguyen P. H.

• Electrical Energy Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands

autor

Hanzelka Z.

• Computer Science and Biomedical Engineering AGH University of Science and Technology, Krakow, Poland

autor

Kamphuis I. G.

• Electrical Energy Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands

Bibliografia

• [1] K. Kok, “The powermatcher: Smart coordination for the smart electricity grid,” TNO, The Netherlands, pp. 241-250, 2013.
• [2] K. Park, Y. Kim, S. Kim, K. Kim, W. Lee, and H. Park, “Building energy management system based on smart grid,” in Telecommunications Energy Conference (INTELEC), 2011 IEEE 33rd International. IEEE, 2011, pp. 1-4.
• [3] E. Klaassen, C. Kobus, J. Frunt, and J. Slootweg, “Responsiveness of residential electricity demand to dynamic tariffs: Experiences from a large field test in the netherlands,” Applied Energy, vol. 183, pp. 1065-1074, 2016.
• [4] J. Mahieu, “Active demand side management,” PhD Dissertation - published by Hogeschool West-Vlaanderen, 2012.
• [5] A. Haytema, “The solution to managing energy supply and demand,” White Paper by Nedap Energy Systems.
• [6] Mastervolt, “Mastervolt, innovative power systems for autonomous use,” http://www.mastervolt.com/IntelliWeb/, 2017, [Online; accessed 10-April-2017].
• [7] B. Biegel, P. Andersen, J. Stoustrup, M.B. Madsen, L.H. Hansen, and L. H. Rasmussen, “Aggregation and control of flexible consumers–a real life demonstration,” IFAC Proceedings Volumes, vol. 47, no. 3, pp. 9950-9955, 2014.
• [8] C. Yilmaz, S. Albayrak, and M. Lutzenberger, “Smart grid architectures ¨ and the multi-agent system paradigm,” ENERGY, pp. 90-95, 2014.
• [9] M. Babar, P. Nguyen, V. Cuk, I. Kamphuis, M. Bongaerts, and Z. Hanzelka, “The evaluation of agile demand response: An applied methodology,” IEEE Transactions on Smart Grid, 2017.
• [10] M. Babar, P. Nyugen, V. Cuk, I.R. Kamphuis, M. Bongaerts, and Z. Hanzelka, “The rise of agile demand response: Enabler and foundation for change,” Renewable and Sustainable Energy Reviews, vol. 56, pp. 686-693, 2016.
• [11] A. Ozadowicz, J. Grela, and M. Babar, “Implementation of a demand ˙ elasticity model in the building energy management system,” in Eventbased Control, Communication, and Signal Processing (EBCCSP), 2016 Second International Conference on. IEEE, 2016, pp. 1-4.
• [12] A. Ozadowicz and J. Grela, “An event-driven building energy management system enabling active demand side management,” in 2016 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP), 2016, pp. 1-8.
• [13] M. Babar, P. Nguyen, V. Cuk, and I. Kamphuis, “The development of demand elasticity model for demand response in the retail market environment,” in PowerTech, 2015 IEEE Eindhoven. IEEE, 2015, pp. 1-6.
• [14] A. Ozadowicz and J. Grela, “Control application for internet of things ˙ energy metera key part of integrated building energy management system,” in Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on. IEEE, 2015, pp. 1-4.
• [15] M. Babar, P. Nguyen, V. Cuk, I. Kamphuis, and W. Kling, “Complex bid model and strategy for dispatchable loads in real time market-based demand response,” in IEEE PES Innovative Smart Grid Technologies, Europe. IEEE, 2014, pp. 1-5.
• [16] M. Noga, A. Ozadowicz, and J. Grela, “Modern, certified building automation laboratories autbudnet–put learning by doingidea into practice,” Przeglad Elektrotechniczny, vol. 88, no. 11a, pp. 137-141, 2012.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).