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Energy Flexometer: Transactive Energy-Based Internet of Things Technology

Muhammad Babar, Jakub Grela, Andrzej Ożadowicz, Phuong H. Nguyen, Zbigniew Hanzelka and I. G. Kamphuis
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Muhammad Babar: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Krakow 30-059, Poland
Jakub Grela: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Krakow 30-059, Poland
Andrzej Ożadowicz: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Krakow 30-059, Poland
Phuong H. Nguyen: Electrical Energy Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven 5612AJ, The Netherlands
Zbigniew Hanzelka: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Krakow 30-059, Poland
I. G. Kamphuis: Electrical Energy Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven 5612AJ, The Netherlands

Energies, 2018, vol. 11, issue 3, 1-20

Abstract: Effective Energy Management with an active Demand Response (DR) is crucial for future smart energy system. Increasing number of Distributed Energy Resources (DER), local microgrids and prosumers have an essential and real influence on present power distribution system and generate new challenges in power, energy and demand management. A relatively new paradigm in this field is transactive energy (TE), with its value and market-based economic and technical mechanisms to control energy flows. Due to a distributed structure of present and future power system, the Internet of Things (IoT) environment is needed to fully explore flexibility potential from the end-users and prosumers, to offer a bid to involved actors of the smart energy system. In this paper, new approach to connect the market-driven (bottom-up) DR program with current demand-driven (top-down) energy management system (EMS) is presented. Authors consider multi-agent system (MAS) to realize the approach and introduce a concept and standardize the design of new Energy Flexometer. It is proposed as a fundamental agent in the method. Three different functional blocks have been designed and presented as an IoT platform logical interface according to the LonWorks technology. An evaluation study has been performed as well. Results presented in the paper prove the proposed concept and design.

Keywords: transactive energy; demand response; energy management system; Internet of Things; smart metering (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (9)

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