Agent based energy management for private homes

Skalierbare und flexible Energieverwaltung für private Haushalte

Authors

  • Norbert Schmitz

DOI:

https://doi.org/10.17560/atp.v61i4.2385

Keywords:

Energiemanagement, Agentenbasierte Steuerung, Energiespeicher

Abstract

Renewable energies have led to a fundamental change in energy distribution with a major role of private houses. Former energy consumers are now also producers with a strong impact on energy flows. Intelligent management helps to optimize energy flows both inside as well as outside the houses. The current publication presents and agent based energy management system with a modular architecture and a good scalability. The efficiency of the presented approach is evaluated based on recordings of real house installations.

References

F.-J. Brüggemeier: „Sonne, Wasser, Wind: Die Entwicklung der Energiewende in Deutschland.“ Friedrich-Ebert-Stiftung, Bonn 2015, isbn 973-8-95861-238-9.

J. Moshövel et al.: “Analysis of the maximal possible grid relief from PV-peak-power impacts by using storage systems for increased self-consumption”, In: Applied Energy, vol. 137, pp. 567–575, 2015

Y. M. Wi, J. U. Lee und S. K. Joo: “Electric vehicle charging method for smart homes/buildings with a photovoltaic system", In: IEEE Transactions on Consumer Electronics, Jg. 59, Nr. 2, S. 323-328, 2013, doi: 10.1109/TCE.2013.6531113.

J.Weniger, J. Bergner und V. Quaschning: “Integration of PV power and load forecasts into the operation of residential PV battery systems", In: 4th Solar Integration Workshop, S. 383-390, 2014. doi: 10.13140/2.1.3048.9283.

J. Bergner, J. Weniger, T. Tjaden und V. Quaschning: “Feed-in Power Limitation of Grid-Connected Pv Battery Systems With Autonomous Forecast-Based Operation Strategies", In: 29th European Photovoltaic Solar Energy Conference and Exhibition, S. 2363-2370, 2014.

Y. Wang, B. Wang, C. C. Chu, H. Pota und R. Gadh: “Energy management for a commercial building microgrid with stationary and mobile battery storage”, In: Energy and Buildings, Jg.116, S. 141-150, 2016, doi: 10.1016/j.enbuild.2015.12.055.

Y. Wang, B. Wang, T. Zhang, H. Nazaripouya, C. C. Chu und R. Gadh: “Optimal Energy Management for Microgrid with Stationary and Mobile Storages”, In: Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, Jg. 2016-July, S. 0-4, 2016, doi: 10.1109/TDC.2016.7520004.

C. Jin, J. Tang und P. Ghosh: “Optimizing electric vehicle charging: A customer's perspective”, In: IEEE Transactions on Vehicular Technology, Jg. 62, Nr. 7, S. 2919-2927, 2013, doi: 10.1109/TVT.2013.2251023.

A. Zeh und R. Witzmann: “Operational strategies for battery storage systems in lowvoltage distribution grids to limit the feed-in power of roof-mounted solar power systems”, In: Energy Procedia, Jg. 46, S. 114-123, 2014, doi: 10.1016/j.egypro.2014.01.164.

S. Shao, F. Jahanbakhsh, J. R. Aguero und L. Xu: “Integration of PEVs and PV-DG in power distribution systems using distributed energy storage|Dynamic analyses”, In: Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES, S. 1-6, 2013.

F. Ygge und H. Akkermans: “Power Load Management as a Computational Market”, In: Proceedings of the Second International Conference on Multi-Agent Systems (ICMAS), S.1-14, 1996. doi: 10.1.1.32.9559.

M. P. F. Hommelberg, B. J. Van Der Velde, C. J. Warmer, I. G. Kamphuis und J. K. Kok, “A novel architecture for real-time operation of Multi-Agent based coordination of demand and supply”, In: IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES, S. 1-5, 2008, doi: 10.1109/PES.2008.4596531.

K. Kok und H. Akkermans: “Transport Network Feasible Solutions in Market-based Alloca-tion of Flow Resources”, S. Pennacchio, Hrsg. 2007, isbn: 978-88-901928-2-1.

V. Bakker: “Triana: A control strategy for Smart Grids”, 2012, isbn: 9789036533140. doi:10.3990/1.9789036533140.

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Published

2019-03-28

Issue

Section

Article / Peer Review