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HEMS: a home energy market simulator

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Computer Science - Research and Development

Abstract

Stability issues in the electric power grid originate from the rising of renewable energy generation and the increasing number of electric vehicles. The uncertainty and the distributed nature of generation and consumption demand for optimal allocation of energy resources, which, in the absence of sufficient control reserve for power generation, can be achieved using demand-response. A price signal can be exploited to reflect the availability of energy. In this paper, market-based energy allocation solutions for small energy grids are discussed and implemented in a simulator, which is released for open use. Artificial neural network controllers for energy prosumers can be designed to minimize individual and overall running costs. This enables a better use of local energy production from renewable sources, while considering residents’ necessities to minimize discomfort.

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Notes

  1. http://frevo.sourceforge.net.

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Acknowledgments

Work supported by Lakeside Labs, Klagenfurt, Austria and funded by the European Regional Development Fund (ERDF) and the Carinthian Economic Promotion Fund (KWF) under Grant 20214-22935-34445 (Smart Microgrid) and 20214-23743-35469-35470 (MONERGY). We would like to thank P. Grippa, M. Pöchacker and D. Egarter for the feedback.

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Authors and Affiliations

  1. Institute of Networked and Embedded Systems/Lakeside Labs, Alpen-Adria-Universität Klagenfurt, 9020, Klagenfurt, Austria

    Andrea Monacchi, Sergii Zhevzhyk & Wilfried Elmenreich

Authors
  1. Andrea Monacchi
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  2. Sergii Zhevzhyk
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  3. Wilfried Elmenreich
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Correspondence to Andrea Monacchi.

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Monacchi, A., Zhevzhyk, S. & Elmenreich, W. HEMS: a home energy market simulator. Comput Sci Res Dev 31, 111–118 (2016). https://doi.org/10.1007/s00450-014-0291-7

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  • DOI: https://doi.org/10.1007/s00450-014-0291-7

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